Tacit knowledge is defined as informal, unspoken, and experiential insights that reside within individuals' minds, representing a valuable form of knowledge that is challenging to document and transfer.
Michael Polanyi described tacit knowledge as knowing more than we can tell, or knowing how to do something without thinking about it, like riding a bicycle (Polanyi, 1967, quoted in Smith, 2001). According to Smith (2001), it is “practical, action-oriented knowledge or ‘know-how’ based on practice, acquired by personal experience, seldom expressed openly, often resembles intuition” (p. 314). So tacit knowledge is a kind of personal knowledge that is learned by members of an organization through experience and learning by doing, and is used to perform their work. It contains mental models, perceptions, insights, assumptions, personal beliefs, subjective insights, intuitions, instinct, and values. Since tacit knowledge is embedded in the minds of individuals in the form of their experience and competence, it is very difficult (not impossible) to codify and transfer to others. In the words of Nonaka (1991), “tacit knowledge is highly personal. It is hard to formalize and, therefore, difficult to communicate to others” (p. 98). Tacit knowledge can sometimes be communicated through a shared understanding between individuals. In other cases, tacit knowledge must be converted into explicit knowledge (ie, words, models, or numbers that can be understood) before sharing or communicating it to others (Becerra-Fernandez and Sabherwal, 2006). There are two dimensions of tacit knowledge as described by Smith (2001), the technical dimension and the cognitive dimension:
1.
The technical dimension of tacit knowledge encompasses the kind of informal and personal skills often captured in terms of “know-how”. This know-how is demonstrated when people master a specific body of knowledge or use skills like those gradually developed by master craftsmen. A craftsman develops a wealth of expertise after years of experience. But he often has difficulty articulating the technical or scientific principles of his or her craft. Thus highly subjective and personal insights, intuitions, hunches, and inspirations derived from a person's experience fall within the technical dimension of tacit knowledge.
2.
The cognitive dimension of tacit knowledge consists of beliefs, perceptions, ideals, values, emotions, and implicit mental models so ingrained they are taken for granted (Sternberg, 1997). Cognitive tacit knowledge is deeply embedded in the human brain and therefore cannot be articulated very easily. Although not completely expressible in words or symbols, it may be communicated or revealed to others through rich modes of discourse that include the use of metaphors, analogies, demonstrations, mentoring, and stories.
Wijetunge (2002) classified the tacit knowledge of a university into two categories: internal tacit knowledge and external tacit knowledge. Internal tacit knowledge consists of senior and experienced employees with a sound knowledge of work procedures, rules and regulations, etc. and the unarticulated knowledge of the librarians themselves. External tacit knowledge consists of personnel external to the university with expert knowledge, that is, service personnel, subject experts, and any other person who provides expertise to university libraries.
Bedford et al. (2015) discuss a library’s tacit knowledge that takes the form of intellectual assets, which they define as “an aggregation of the intellectual capital of all of its employees.” It consists of answers to questions, knowledge of sources, knowledge of subject domains, knowledge of information behaviors, knowledge of the publishing industry, foresight, etc.
Understanding what tacit knowledge隐性知识 is, and particularly how the concept is used, is important for philosophers of technology because it is now a central concept in policy discussions related to engineering. It is used to explain why knowledge production is localized, cumulative and path-dependent, and therefore why designers, design teams, firms and regions differ in their technological performance. Given the impact of public policy related to the “knowledge economy,” there is a legitimate role for philosophers of technology to investigate the foundations of these ideas in more detail. This is particularly important because the terminology of tacit knowledge is applied very widely, but is rarely explicitly explained. Just what tacit knowledge is, and how it is valuable during the development of technology, is often itself a “tacit” concept. This chapter defines engineering as the art of organizing and negotiating the design, production, operation and decommissioning of artefacts, devices, systems and processes that fulfill useful functions by transforming the world to solve recognized problems. This hopefully highlights the practical, creative nature of engineering, with a clear connection to judgments and choices about solutions that achieve a balance between potentially conflicting outcomes in terms of their aesthetic, economic, environmental, technical and other criteria.是什么,尤其是如何使用这一概念,对于技术哲学家而言至关重要,因为它现在是与工程相关的政策讨论中的核心概念。它被用来解释为什么知识生产是局部的、累积的和路径依赖的,以及为什么设计师、设计团队、企业和地区在技术绩效上存在差异。鉴于与“知识经济”相关的公共政策的影响,技术哲学家有正当理由更深入地研究这些思想的基础。这一点尤为重要,因为隐性知识这一术语应用非常广泛,却很少得到明确的解释。究竟什么是隐性知识,以及它在技术发展过程中如何发挥价值,这本身往往就是一个“隐性”概念。本章将工程定义为一种组织和协商设计、生产、运营以及退役人工制品、设备、系统和流程的艺术,这些人工制品、设备、系统和流程通过改造世界来解决公认的问题,从而实现有用的功能。这有望凸显工程实践性和创造性的本质,并明确其与判断和选择解决方案之间的联系,即在美学、经济、环境、技术及其他标准方面,在潜在的冲突结果之间取得平衡。对于技术哲学家而言,理解什么是隐性知识,尤其是如何使用这一概念,至关重要,因为它现在是与工程相关的政策讨论中的核心概念。它被用来解释为什么知识生产是局部的、累积的和路径依赖的,以及为什么设计师、设计团队、企业和地区在技术绩效上存在差异。鉴于与“知识经济”相关的公共政策的影响,技术哲学家有正当理由更深入地研究这些思想的基础。这一点尤为重要,因为隐性知识这一术语应用非常广泛,却很少得到明确的解释。究竟什么是隐性知识,以及它在技术发展过程中如何发挥价值,这本身往往就是一个“隐性”概念。本章将工程定义为一种组织和协商设计、生产、运营以及退役人工制品、设备、系统和流程的艺术,这些人工制品、设备、系统和流程通过改造世界来解决公认的问题,从而实现有用的功能。这有望凸显工程实践性和创造性的本质,并明确其与判断和选择解决方案之间的联系,即在美学、经济、环境、技术及其他标准方面,在潜在的冲突结果之间取得平衡。
Knowledge in an organization is classified either as explicit or tacit knowledge. Explicit knowledge is defined as formal and systematic knowledge, which can be expressed in words or numbers and can be documented or stored in databases as electronic records. Some examples of explicit knowledge include commercial publications, a telephone directory, e-mail, the web, databases, intranets, self study material, instruction manuals, and reports of research findings. Tacit knowledge is subjective and experience-based knowledge which is difficult to articulate or write down and communicate (Nonaka and Takeuchi, 1995). Some examples of tacit knowledge are skills, experiences, insights, intuitions, and judgments. Tacit knowledge can be shared between people through face-to-face communications, telephone conversations, e-mails, discussions in formal and informal meetings, communities of practice, mentoring and training, and personal interactions.
Wijetunge (2002) identified four types of knowledge in a library system:
1.
Internal tacit knowledge, which consists of senior and experienced employees with a sound knowledge of work procedures, rules and regulations, etc. and the unarticulated knowledge of the librarians themselves.
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Internal explicit knowledge, which consists of reports, guidelines, theses, databases, minutes of meetings, and any other type of tangible knowledge content generated within a university.
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External explicit knowledge, which consists of tangible material in the form of books, journals, reports, CD/ROMs, and any other media, produced outside a university.
4.
External tacit knowledge, which consists of personnel external to a university with expertise knowledge, ie, service personnel, subject experts, and any other person who provides expertise to university libraries.
In libraries, explicit knowledge is either created within the organization, such as reports, memos, policies and guidelines, working process, theses, minutes of meetings, etc., or acquired from external sources, including books, journal articles, databases, external reports, government information, etc. Tacit knowledge, on the other hand, resides in senior and experienced employees with a sound knowledge of work procedures, rules and regulations, etc. and the unarticulated knowledge of the librarians themselves (Wijetunge, 2002). Both types of knowledge (explicit and tacit) are recognized as the key knowledge resources of a university or library that is managed properly (Ajiferuke, 2003).
An infrastructure is essential for bringing explicit knowledge and tacit knowledge together and making KM efforts successful. According to Srikantaiah (2000), this infrastructure may include:
[…] simple or sophisticated information technology, top management support, social capital, and a basis of trust, mentoring, benchmarking, training, and employee development, along with the allocation of sufficient budget to invest in KM initiatives (p. 11).
The terms tacit隐性 and explicit显性 are often used when talking about knowledge. The original author, Polyani (1966),4 used these terms to define ‘unable to be expressed’ and ‘able to be expressed’ respectively. Thus, in the original usage, tacit knowledge means knowledge held instinctively, in the unconscious mind and in the muscle memory, which cannot be transferred into words. Knowledge of how to ride a bicycle, for example, is tacit knowledge, as it is almost impossible to explain verbally.是指本能地掌握在潜意识和肌肉记忆中,且无法转化为文字的知识。例如,骑自行车的知识就是一种隐性知识,因为它几乎不可能用语言解释清楚。使用这些术语分别定义“无法表达”和“能够表达”。因此,在最初的用法中,隐性知识是指本能地掌握在潜意识和肌肉记忆中,且无法转化为文字的知识。例如,骑自行车的知识就是一种隐性知识,因为它几乎不可能用语言解释清楚。在讨论知识时,经常会用到“隐性”和“显性”这两个术语。最初的作者波兰尼(Polyani, 1966)使用这两个术语分别定义“无法表达”和“能够表达”。因此,在最初的用法中,隐性知识是指本能地掌握在潜意识和肌肉记忆中,且无法转化为文字的知识。例如,骑自行车的知识就是一种隐性知识,因为它几乎不可能用语言解释清楚。
Following the seminal text by Nonaka and Takeuchi (1995)5 these original definitions have become blurred, and tacit and explicit are often used to describe ‘knowledge which has not been codified’ and ‘knowledge which has been codified’ (or ‘head knowledge’ and ‘recorded knowledge’ respectively). This latter definition is a more useful one in the context of knowledge management知识管理 within organisations, as it defines knowledge based on where it exists, rather than on its intrinsic codifiability. So, knowledge that exists only in people’s heads is often termed 这些最初的定义变得模糊,隐性知识和显性知识常被用来描述“尚未编码的知识”和“已被编码的知识”(或分别称为“头脑中的知识”和“记录在案的知识”)。后一种定义在组织内部知识管理的背景下更为有用,因为它根据知识存在的位置而非其内在的可编码性来定义知识。因此,仅存在于人们头脑中的知识通常被称为tacit knowledge,隐性知识, and knowledge that has been recorded somewhere is termed explicit knowledge.显性知识。 Knowledge can therefore be transferred from tacit to explicit, according to Nonaka and Takeuchi.继野中郁次郎(Nonaka)和竹内弘高(Takeuchi, 1995)的开创性著作之后,这些最初的定义变得模糊,隐性知识和显性知识常被用来描述“尚未编码的知识”和“已被编码的知识”(或分别称为“头脑中的知识”和“记录在案的知识”)。后一种定义在组织内部知识管理的背景下更为有用,因为它根据知识存在的位置而非其内在的可编码性来定义知识。因此,仅存在于人们头脑中的知识通常被称为隐性知识,而记录在某处的知识则被称为显性知识。根据野中郁次郎和竹内弘高的观点,知识因此可以从隐性转化为显性。
There is a wide range of types of knowledge, from easily codifiable to completely uncodifiable. Some know-how, such as how to cook a pizza, can be codified and written down; indeed, most households contain codified cooking knowledge (cookery books). Other know-how, such as how to whistle or how to dance the tango, cannot be codified, and there would be no point in trying to teach someone to dance by giving them a book on the subject.知识的类型多种多样,从易于编码的到完全无法编码的都有。一些操作知识(know-how),比如如何制作披萨,是可以编码并写下来的;事实上,大多数家庭都有编码后的烹饪知识(烹饪书)。其他操作知识,比如如何吹口哨或如何跳探戈,则无法编码;试图通过给某人一本关于该主题的书来教他们跳舞是毫无意义的。
Sales and marketing knowledge comprises a wide range of codifiability. Some of it can never be fully written down, e.g. how to establish a lasting relationship with a client, and must be transferred through coaching and role-play, while some of it can be easily codified into company guidelines.销售和营销知识涵盖了广泛的可编码性。其中一些永远无法完全写下来,例如如何与客户建立持久的关系,必须通过指导和角色扮演来传递;而另一些则可以很容易地编码成公司准则。
2.1.1 Tacit Versus Explicit Knowledge2.1.1 隐性知识与显性知识
According to Polanyi (1966)波兰尼(Polanyi, 1966)tacit knowledge is nonverbalized, intuitive, and unarticulated knowledge. It is knowledge that resides in a human 隐性知识是未言明、直觉性和未表达的知识。它是存在于人类brain大脑 and that cannot easily be codified or captured. Nevertheless it is one of the aims of the field of artificial intelligence人工智能, and in particular of expert systems专家系统, to include exactly this kind of knowledge. Explicit knowledge is that kind of knowledge that can be articulated in a formal language and transmitted among individuals. It is the kind of knowledge found in all types of scientific publications.隐性知识是未言明、直觉性和未表达的知识。它是存在于人脑中且不易被编码或捕获的知识。尽管如此,人工智能领域,特别是专家系统,其目标之一正是包含这类知识。显性知识是指那种可以用正式语言表达并在个体之间传播的知识。它是各类科学出版物中呈现的那种知识。根据波兰尼(Polanyi, 1966)的观点,隐性知识是未言明、直觉性和未表达的知识。它是存在于人脑中且不易被编码或捕获的知识。尽管如此,人工智能领域,特别是专家系统,其目标之一正是包含这类知识。显性知识是指那种可以用正式语言表达并在个体之间传播的知识。它是各类科学出版物中呈现的那种知识。
Using ideas and notions developed by Michael Polanyi [1958波兰尼 [1958; 19661966], some authors have emphasized the importance of tacit knowledge in engineering and technol-ogy.],一些作者强调了隐性知识在工程和技术中的重要性。19 They have argued, or stated, that part of the knowledge produced by technological practice is hard or even impossible to make fully explicit in declarative statements, but can only be acquired through personal experience. Some make tacitness part of their characterization of technological knowledge, e.g.: “(…) the knowledge of techniques, methods and designs that work in certain ways and with certain consequences, even when one cannot explain exactly why.” [Rosenberg, 1982, p. 143Rosenberg, 1982, p. 143] Others use technological practice to characterize tacit knowledge, e.g.: “(…) the implicit, wordless, pictureless knowledge essential to engineering judgement and workers’, skills.” [Vincenti, 1990, p. 198Vincenti, 1990, p. 198]利用迈克尔·波兰尼(Michael Polanyi, 1958; 1966)发展的思想和概念,一些作者强调了隐性知识在工程和技术中的重要性。他们论证或指出,技术实践所产生的部分知识很难甚至不可能完全显性化为陈述性语句,而只能通过个人经验获得。一些人将隐性作为他们表征技术知识的一部分,例如:“(……)那些在特定方式下有效并产生特定后果的技术、方法和设计的知识,即使人们无法确切解释原因。”[Rosenberg, 1982, p. 143]。另一些人利用技术实践来表征隐性知识,例如:“(……)对工程判断和工人技能至关重要的隐性、无言、无图的知识。”[Vincenti, 1990, p. 198]
This emphasis on tacit knowledge is not exclusive to the philosophy of technology. In fact, most work on tacit knowledge and technology is done outside of philosophy. One field where this relation is especially prominent is that of knowledge management, where the communication and sharing of knowledge is a central concern (e.g., [这种对隐性知识的强调并非技术哲学所独有。事实上,大多数关于隐性知识和技术的研究都是在哲学之外完成的。知识管理是这一关系尤为突出的领域之一,知识的交流与共享是其核心关注点(例如,[Nonaka and Takeuchi, 1995Nonaka and Takeuchi, 1995; Choo, 1998Choo, 1998; Baumard, 1999Baumard, 1999; Firestone and McElroy, 2003Firestone and McElroy, 2003]). Other fields where tacit knowledge is an important point of concern are the design of expert systems (e.g., [Berry, 1987Berry, 1987]) and studies of technological innovations and technology transfer (e.g., [Nooteboom et al.等, 1992Nooteboom et al., 1992; Senker, 1993Senker, 1993; Howells, 1996Howells, 1996; Leonard & Sensiper, 1998Leonard & Sensiper, 1998; Nightingale, 1998Nightingale, 1998; Wong and Radcliffe, 2000Wong and Radcliffe, 2000; Salter & Gann, 2003Salter & Gann, 2003]). Here, the appeal to tacit knowledge is typically used to indicate the firm-specificity and person-dependence of knowledge. It is stressed, for instance, that successful implementation of new technologies requires detailed and specific knowledge about a particular situation, which is — at least at first — only available through personal experience and rules of thumb (e.g., [Arora, 1996Arora, 1996]). Other authors point out that, although codified and explicit knowledge is available for more established technologies, effective use still relies on skilled operators and maintenance personnel, arguably showing that there is an irreducibly tacit component in technological knowledge (e.g., [Noble, 1978Noble, 1978]).这种对隐性知识的强调并非技术哲学所独有。事实上,大多数关于隐性知识和技术的研究都是在哲学之外完成的。知识管理是这一关系尤为突出的领域之一,知识的交流与共享是其核心关注点(例如,[Nonaka and Takeuchi, 1995; Choo, 1998; Baumard, 1999; Firestone and McElroy, 2003])。隐性知识成为重要关注点的其他领域包括专家系统设计(例如,[Berry, 1987])以及技术创新和技术转移研究(例如,[Nooteboom et al., 1992; Senker, 1993; Howells, 1996; Leonard & Sensiper, 1998; Nightingale, 1998; Wong and Radcliffe, 2000; Salter & Gann, 2003])。在这里,诉诸隐性知识通常被用来表明知识的特定企业性和个人依赖性。例如,有人强调,新技术的成功实施需要关于特定情况的详细且具体的知识,而这些知识——至少在最初——只能通过个人经验和经验法则获得(例如,[Arora, 1996])。其他作者指出,尽管对于更成熟的技术而言,编码化的显性知识是可用的,但有效使用仍然依赖于熟练的操作员和维护人员,这可以说表明技术知识中存在着不可化约的隐性成分(例如,[Noble, 1978])。
That即 many contributions to the literature on technological knowledge appeal to tacitness is beyond question; moreover, most do so by pointing out that it has been generally overlooked, because of an exclusive focus on codified knowledge, and that it is essential to a full account of knowledge. Thus, the existing literature seems based on the idea that there is something distinctive about tacit knowledge, and perhaps also something distinctively tacit about technological knowledge. This makes the appeal to tacit knowledge potentially interesting for the epistemic-emancipation project. Yet to see how and to what extent the appeal to tacit knowledge could improve our understanding of the nature of technological knowledge, and emancipate it from scientific knowledge, two questions need to be answered. Firstly: what is the relation between tacit and technological knowledge? Secondly: is the tacitness of technological knowledge more prominent or encompassing than that of other types of knowledge?关于技术知识的文献中有许多贡献诉诸隐性,这一点毋庸置疑;此外,大多数贡献者之所以这样做,是因为指出由于对编码知识的排他性关注,隐性知识被普遍忽视了,而它对于知识的全面描述至关重要。因此,现有文献似乎基于这样一种观点:隐性知识具有某种独特之处,或许技术知识中也存在某种独特的隐性成分。这使得诉诸隐性知识对于“认知解放”项目具有潜在的意义。然而,要了解诉诸隐性知识在何种程度上能够改善我们对技术知识本质的理解,并将其从科学知识中解放出来,需要回答两个问题。首先:隐性知识与技术知识之间的关系是什么?其次:技术知识的隐性程度是否比其他类型的知识更为突出或包容?
Insofar as these questions have (implicitly) been answered in the literature, the answer to the crucial second question appears to be negative. Let us tackle them each in turn.就这些问题在文献中(隐含地)得到回答而言,对关键的第二个问题的回答似乎是否定的。让我们逐一探讨。
Virtually everyone who writes on tacit knowledge, even those who do not ultimately use the term, agrees about one conceptual issue — that there is something about human knowledge that standard, justified-true-belief or propositional, accounts do not capture. Beyond this stage, however, there is considerable disunity about the appropriate concepts, concerning both the phenomenon of “tacitness” and the standard view(s) with which it supposedly contrasts. At least three distinctions are at issue in the literature. These distinctions are related, but different, and they are seldom distinguished as carefully as they should be. Firstly, there is, what might be called, the psychological心理学 distinction between implicit and explicit knowledge (e.g., [Dienes and Perner, 1999Dienes and Perner, 1999]; see also [Reber, 1993Reber, 1993]).20 One way to phrase this distinction is as follows: when we know a fact, we have an accurate representation of it. On the basis of its functioning and its accuracy, this representation may be identified as “knowledge” (rather than a desire). If we are not aware of this representation, and its accuracy, the knowledge is implicit. By contrast, our knowledge concerning this representation is fully explicit. Phrased in this way, the psychological distinction is gradual, and all distinguished states involve representations. Secondly, there is a grammatical语法 or linguistic语言 distinction between two types of statements involving ‘knowing’: knowing that something is the case, and knowing how something can be done. This distinction is, of course, primarily associated with work by Gilbert Ryle [1949]Ryle [1949], and it is clearly language-relative. In some languages, like German and Dutch, this distinction is expressed by means of similar-sounding words (“kennen’, as in ‘Ich kenne Der Zauberberg《魔山》(Der Zauberberg) nicht‘; and ‘können’, as in ‘Ich kann Schlittschuhlaufen’, respectively) rather than one word; other languages may even use completely different words. Thirdly, types of knowledge may be distinguished social-epistemically社会认识论, with regard to their communicability: knowledge that can be transferred exclusively through verbal communication, and knowledge that is not or cannot be so transferred — for instance, because it can only be acquired through personal experience. I will call the first type ‘verbal’, knowledge, and the second ‘non-verbal’.几乎所有撰写关于隐性知识的人,即使是那些最终没有使用该术语的人,在这一概念问题上都达成了一致——人类知识中存在着某种标准、辩护性真信念或命题性描述所无法捕捉的东西。然而,在此阶段之后,关于适当的概念,无论是关于“隐性”现象还是它所假定与之形成对比的标准观点,都存在相当大的分歧。文献中至少涉及三种区分。这些区分相互关联但又有所不同,且很少得到应有的仔细辨析。首先,存在所谓心理学上关于隐性知识和显性知识的区分(例如,[Dienes and Perner, 1999];另见 [Reber, 1993])。这种区分的一种表述方式如下:当我们知道一个事实时,我们对其有一个准确的表征。基于其功能和准确性,这种表征可以被识别为“知识”(而非欲望)。如果我们没有意识到这种表征及其准确性,那么这种知识就是隐性的。相反,我们关于这种表征的知识是完全显性的。以这种方式表述,心理学上的区分是渐进的,且所有被区分的状态都涉及表征。其次,在涉及“知道”的两种陈述类型之间存在语法或语言上的区分:知道某事是事实(knowing that),以及知道某事如何完成(knowing how)。这种区分当然主要与吉尔伯特·赖尔(Gilbert Ryle, 1949)的工作相关,且显然是语言相关的。在某些语言(如德语和荷兰语)中,这种区分是通过发音相似的词来表达的(分别如“kennen”,意为“我不认识《魔山》”;以及“können”,意为“我会滑冰”),而不是用一个词;其他语言甚至可能使用完全不同的词。第三,知识类型可以从社会认识论的角度进行区分,即关于其可交流性:只能通过语言交流传递的知识,以及不能或无法通过这种方式传递的知识——例如,因为它只能通过个人经验获得。我将第一种类型称为“言语”知识,第二种称为“非言语”知识。
When introduced, the term “tacit knowledge” is typically used in the latter sense. However, the interconnections with Ryle's primarily grammatical distinction are particularly strong in the philosophical literature, so that the actual use of “tacit knowledge” is at least ambiguous in this respect. Even authors who do not explicitly refer to Ryle often use terminology reminiscent of his, and refer to the same stock examples, e.g., of riding a bicycle. Furthermore, connections are forged with the (folk-) psychological distinction between knowledge and skills. This is frequently equated with Ryle's distinction, and “tacit knowledge” is taken to refer to skills and “know-how”. Much more may be said about this, but I will cut some corners in calling this distinction a red herring. The reason is that, as soon as the unicity and autonomy自主性 of technological knowledge is sought by assimilating it to skills, the epistemic-emancipation project becomes open to the objection that it is based on a category mistake. After all, if skills are 当引入“隐性知识”这一术语时,通常是在后一种意义上使用的。然而,在哲学文献中,它与赖尔主要基于语法的区分之间的相互联系非常紧密,以至于“隐性知识”的实际使用在这方面至少是模糊的。即使是那些没有明确提到赖尔的作者,也经常使用让人想起他的术语,并引用相同的经典例子,例如骑自行车。此外,它还与关于知识和技能的(民俗)心理学区分建立了联系。这经常被等同于赖尔的区分,而“隐性知识”被用来指代技能和“操作知识”。关于这一点还可以说很多,但我将简化处理,称这种区分是一个“红鲱鱼”。原因在于,一旦试图通过将其同化为技能来寻求技术知识的统一性和自主性,认知解放项目就会面临一种反驳,即它基于一种范畴错误。毕竟,如果技能是contrasted对比 with knowledge, and the difference between technology and science is based on this contrast, the sought (and perhaps found) difference cannot be epistemological: it is not a distinction between types of knowledge, but between knowledge and something else, e.g., action.当引入“隐性知识”这一术语时,通常是在后一种意义上使用的。然而,在哲学文献中,它与赖尔主要基于语法的区分之间的相互联系非常紧密,以至于“隐性知识”的实际使用在这方面至少是模糊的。即使是那些没有明确提到赖尔的作者,也经常使用让人想起他的术语,并引用相同的经典例子,例如骑自行车。此外,它还与关于知识和技能的(民俗)心理学区分建立了联系。这经常被等同于赖尔的区分,而“隐性知识”被用来指代技能和“操作知识”(know-how)。关于这一点还可以说很多,但我将简化处理,称这种区分是一个“红鲱鱼”(干扰项)。原因在于,一旦试图通过将其同化为技能来寻求技术知识的统一性和自主性,认知解放项目就会面临一种反驳,即它基于一种范畴错误。毕竟,如果技能与知识形成对比,而技术与科学的区别基于这种对比,那么所寻求(且或许已找到)的区别就不可能是认识论上的:它不是知识类型之间的区别,而是知识与某种其他事物(例如行动)之间的区别。
Thus, the frequent appeals to tacitness, and discussions of this phenomenon with regard to technology, suffer from multiple ambiguities in the very notion of “tacit knowledge”, which affect its usefulness for the epistemic-emancipation project.因此,频繁诉诸隐性,以及关于技术领域这一现象的讨论,在“隐性知识”这一概念本身就存在多重模糊性,这影响了它对认知解放项目的有用性。
One may think that, while these ambiguities are being sorted out, a preliminary epistemological distinction may be made between fully explicit, propositional, verbal knowledge on the one hand, and the overlooked “tacitness” phenomenon on the other hand. This would, however, be naive, since a major epistemological distinction is concealed beneath the conceptual distinctions.21人们可能认为,在理清这些模糊性的同时,可以在一方面是完全显性的、命题性的、言语性的知识,与另一方面被忽视的“隐性”现象之间做出初步的认识论区分。然而,这将是天真的,因为在概念区分之下隐藏着一个重大的认识论区分。
One possible understanding of tacit knowledge is as a supplement补充 of the traditionally analyzed body of propositional knowledge. The associations with Ryle's sharp grammatical distinction, and with the knowledge-skill distinction facilitate this understanding. From a psychological perspective, this understanding is highly problematic: one may think up all kinds of cognitive processes认知过程 that share characteristics of both types of knowledge, undermining the idea of supplementary, but autonomous bodies of knowledge. The internalization内化 of calculation rules is, for instance, a process that shows how explicit, and highly verbalized procedures can turn into implicit routines through frequent exercise. This does not mean that the distinction is conceptually indefensible, but it does not have the immediate plausibility合理性 of Polanyi's original appeal to tacitness. Moreover, this understanding has the disadvantage of inviting the category-mistake objection mentioned above: if tacit knowledge is this skill-based supplement to propositional knowledge, why call it “knowledge” at all?传统分析的命题知识体系的补充。与赖尔尖锐的语法区分以及知识-技能区分的联系促进了这种理解。从心理学角度来看,这种理解是非常有问题的:人们可以构想出各种共享两种知识特征的认知过程,从而破坏了补充性但自主的知识体系这一观念。例如,计算规则的内化就是一个过程,它展示了显性的、高度言语化的程序如何通过频繁练习转化为隐性程序。这并不意味着这种区分在概念上是站不住脚的,但它没有波兰尼最初诉诸隐性的那种即时合理性。此外,这种理解还有一个缺点,即容易招致上述的范畴错误反驳:如果隐性知识是命题知识的这种基于技能的补充,为什么还要称之为“知识”呢?对隐性知识的一种可能理解是将其视为传统分析的命题知识体系的补充。与赖尔尖锐的语法区分以及知识-技能区分的联系促进了这种理解。从心理学角度来看,这种理解是非常有问题的:人们可以构想出各种共享两种知识特征的认知过程,从而破坏了补充性但自主的知识体系这一观念。例如,计算规则的内化就是一个过程,它展示了显性的、高度言语化的程序如何通过频繁练习转化为隐性程序。这并不意味着这种区分在概念上是站不住脚的,但它没有波兰尼最初诉诸隐性的那种即时合理性。此外,这种理解还有一个缺点,即容易招致上述的范畴错误反驳:如果隐性知识是命题知识的这种基于技能的补充,为什么还要称之为“知识”呢?
Therefore, some psychologists — and researchers in other disciplines who take psychological studies into account — prefer another understanding of the appeal to tacitness (e.g., [Wagner, 1987Wagner, 1987]). On it, our body of knowledge contains a tacit element, in all senses distinguished above: explicit knowledge must be based on implicit knowledge, which is at least conceptually prior; knowledge-that always involves knowing-how, since it involves, among other things, competence in reasoning; and verbal knowledge presupposes non-verbal knowledge, if only in the trivial sense that we cannot make fully explicit our speech patterns, including rules for appropriate utterances and other pragmatic aspects of language. Some passages in the writings of both Ryle and Polanyi suggest this understanding of tacitness — as a general aspect, component or ‘dimension’, of knowledge. And although this view requires substantial elaboration, it does not have the above-mentioned disadvantages of the first understanding. Gradualism渐进性 can be captured by analyzing knowledge as having a more or less prominent tacit component; and since tacitness is an integral part of all knowledge, it is an appropriate subject for epistemology.]。根据这种理解,我们的知识体系在上述所有意义上都包含一个隐性要素:显性知识必须基于隐性知识,后者至少在概念上是优先的;“知道某事是事实”总是涉及“知道某事如何完成”,因为它涉及推理能力等;言语知识预设了非言语知识,即使仅仅是在这样一个平凡的意义上:我们无法完全显性地表达我们的言语模式,包括适当话语的规则以及语言的其他语用方面。一些段落暗示了这种对隐性的理解——将其视为知识的一个普遍方面、组成部分或“维度”。而且尽管这种观点需要大量的阐述,但它没有上述第一种理解的缺点。通过分析知识具有或多或少突出的隐性成分,可以捕捉到渐进性;而且由于隐性是所有知识不可或缺的一部分,它是认识论的一个恰当主题。因此,一些心理学家——以及其他将心理学研究纳入考虑的学科研究者——倾向于对诉诸隐性有另一种理解(例如,[Wagner, 1987])。根据这种理解,我们的知识体系在上述所有意义上都包含一个隐性要素:显性知识必须基于隐性知识,后者至少在概念上是优先的;“知道某事是事实”总是涉及“知道某事如何完成”,因为它涉及推理能力等;言语知识预设了非言语知识,即使仅仅是在这样一个平凡的意义上:我们无法完全显性地表达我们的言语模式,包括适当话语的规则以及语言的其他语用方面。赖尔和波兰尼著作中的一些段落暗示了这种对隐性的理解——将其视为知识的一个普遍方面、组成部分或“维度”。尽管这种观点需要大量的阐述,但它没有上述第一种理解的缺点。通过分析知识具有或多或少突出的隐性成分,可以捕捉到渐进性;而且由于隐性是所有知识不可或缺的一部分,它是认识论的一个恰当主题。
This understanding of tacit knowledge answers the two questions posed earlier. Firstly, technological knowledge may be said to have a strong relation to tacit-ness. Both the knowledge possessed by designers and that possessed by users, and even the more theoretical models of engineering sciences involve a tacit component. Indeed, some examples in the general literature on tacit knowledge, such as Ryle's bicycle riding, are derived from the technological domain broadly conceived (albeit mainly from the user's perspective); and both design and use are clearly competence-based activities, easily described in terms of knowing-how. That they also involve knowing-that, and can in various degrees be verbalized does not run counter to the appeal to tacitness in this sense.22这种对隐性知识的理解回答了之前提出的两个问题。首先,可以说技术知识与隐性有着很强的关系。无论是设计师拥有的知识还是用户拥有的知识,甚至工程科学中更理论化的模型,都包含隐性成分。事实上,隐性知识一般文献中的一些例子,如赖尔的骑自行车,都是从广义的技术领域衍生出来的(尽管主要是从用户的角度);而且设计和使用显然都是基于能力的活动,很容易用“操作知识”来描述。它们同时也涉及“知道某事是事实”,并且可以在不同程度上被言语化,这并不违背这种意义上的隐性诉求。
However, on this understanding of tacitness, there is almost by definition no special特殊 relation between it and technological knowledge. If the arguments of Ryle and Polanyi are sound, they would show that all knowledge contains a tacit component. And their general arguments have been supported by a host of more specific studies in cognitive psychology认知心理学 (e.g., [它与技术知识之间的关系。如果赖尔和波兰尼的论点是合理的,它们将表明所有知识都包含隐性成分。而且他们的普遍论点得到了认知心理学(例如,[Reber, 1993]) and the epistemology of science. Like engineers, scientists are said to rely on rules of thumb in designing experiments and interpreting data, and to require personal experience in addition to theoretical education (e.g., [Collins, 1973Collins, 1973, 19821982; Senker, 1993; Sternberg and Horvath, 1999Sternberg and Horvath, 1999]). The works of Donald Schön [1983Schön [1983; 19881988] also illustrate this generality. Some of Schön's examples are drawn from domains that might be called technological; and he often phrases his general claims by referring to “technical” problems or “design” contexts.23 Yet Schön's claims regarding the importance of personal experience and improvisation concern professional practice in general, not engineering design in particular.然而,在这种对隐性的理解下,几乎可以肯定它与技术知识之间没有特殊关系。如果赖尔和波兰尼的论点是合理的,它们将表明所有知识都包含隐性成分。而且他们的普遍论点得到了认知心理学(例如,[Reber, 1993])和科学认识论中大量更具体研究的支持。像工程师一样,科学家在设计实验和解释数据时也被认为依赖于经验法则,并且除了理论教育外还需要个人经验(例如,[Collins, 1973, 1982; Senker, 1993; Sternberg and Horvath, 1999])。唐纳德·舍恩(Donald Schön, 1983; 1988)的著作也说明了这种普遍性。舍恩的一些例子取自可以称为技术的领域;他经常通过提及“技术”问题或“设计”背景来表述他的普遍主张。然而,舍恩关于个人经验和即兴创作重要性的主张涉及的是一般的专业实践,而非特定的工程设计。
In sum, the literature on tacitness in technological knowledge shows a lack of conceptual clarity. Furthermore, insofar as clarity can be obtained, appealing to tacitness does not further the end of epistemic emancipation. Instead, it increases the burden of proof resting on those who want to establish emancipation through pointing out the role of tacit knowledge in technology: rather than showing that such knowledge plays a role, they should show that it plays a distinctive独特 role.总之,关于技术知识中隐性的文献表现出缺乏概念清晰度。此外,就能够获得清晰度而言,诉诸隐性并不能促进认知解放的目的。相反,它增加了那些想要通过指出隐性知识在技术中的作用来建立解放的人的举证责任:他们不仅应该证明这种知识发挥了作用,还应该证明它发挥了独特的作用。
Categories of Knowledge Assets in a Library图书馆知识资产的类别
One of the important functions of KM is to identify the different types of knowledge in an organization and to develop a strategy to apply that knowledge into practice to maximize its strategic value. Over the centuries many attempts have been made to classify knowledge. However, different fields have focused on different dimensions of knowledge. This has resulted in numerous classifications and distinctions based on philosophy and even religion (知识管理(KM)的重要功能之一是识别组织中不同类型的知识,并制定策略将这些知识应用于实践,以最大化其战略价值。几个世纪以来,人们进行了许多尝试来对知识进行分类。然而,不同领域关注的是知识的不同维度。这导致了基于哲学甚至宗教的众多分类和区分(Frost, 2010Frost, 2010). The literature includes numerous typologies of knowledge, including: scientific and practical knowledge (Hayek, 1945Hayek, 1945); objective knowledge and knowledge based on experiences (Penrose, 1959Penrose, 1959); declarative and procedural knowledge (Winter, 1987Winter, 1987); incorporated, migratory, embedded, and codified knowledge编码知识 ();整合的、迁移的、嵌入的和编码的知识(Zuboff, 1988; Badaracco, 1991; Blacker, 1993Zuboff, 1988; Badaracco, 1991; Blacker, 1993); tacit, explicit, and cultural knowledge文化知识 ();隐性知识、显性知识和文化知识(Choo, 2000Choo, 2000); personal, proprietary, public knowledge, and common sense常识 ();个人知识、专有知识、公共知识和常识(Boisot, 1998Boisot, 1998); and core, advanced, and innovative knowledge (Zack, 1999Zack, 1999).知识管理(KM)的重要功能之一是识别组织中不同类型的知识,并制定策略将这些知识应用于实践,以最大化其战略价值。几个世纪以来,人们进行了许多尝试来对知识进行分类。然而,不同领域关注的是知识的不同维度。这导致了基于哲学甚至宗教的众多分类和区分(Frost, 2010)。文献中包含了多种知识类型学,包括:科学知识和实践知识(Hayek, 1945);客观知识和基于经验的知识(Penrose, 1959);陈述性知识和程序性知识(Winter, 1987);整合的、迁移的、嵌入的和编码的知识(Zuboff, 1988; Badaracco, 1991; Blacker, 1993);隐性知识、显性知识和文化知识(Choo, 2000);个人知识、专有知识、公共知识和常识(Boisot, 1998);以及核心知识、高级知识和创新知识(Zack, 1999)。
One of the most cited theories of knowledge classification in the KM literature is one that distinguishes knowledge either as tacit or explicit. The concept of tacit and explicit knowledge was first introduced by Michael Polanyi in 1962, and was later adopted and elaborated by Nonaka (1991)野中郁次郎(1991) and Nonaka and Takeuchi (1995)野中郁次郎和竹内弘高(1995). One of the fundamental steps in KM is to define and identify what are the key knowledge assets that need to be managed in an organization. In order to manage knowledge, it is essential to understand the nature of different types of knowledge assets in an academic library学术图书馆. Knowledge in academic libraries学术图书馆 may me classified into four categories: tacit knowledge, explicit knowledge, procedural knowledge, and cultural knowledge.。知识管理的基本步骤之一是定义和识别组织中需要管理的关键知识资产。为了管理知识,必须了解学术图书馆中不同类型知识资产的本质。学术图书馆中的知识可分为四类:隐性知识、显性知识、程序性知识和文化知识。知识管理文献中引用最多的知识分类理论之一是将知识区分为隐性知识或显性知识。隐性知识和显性知识的概念最早由迈克尔·波兰尼于1962年提出,后来被野中郁次郎(1991)以及野中郁次郎和竹内弘高(1995)采纳并深化。知识管理的基本步骤之一是定义和识别组织中需要管理的关键知识资产。为了管理知识,必须了解学术图书馆中不同类型知识资产的本质。学术图书馆中的知识可分为四类:隐性知识、显性知识、程序性知识和文化知识。
Tacit Knowledge隐性知识
Michael Polanyi described tacit knowledge as knowing more than we can tell, or knowing how to do something without thinking about it, like riding a bicycle (迈克尔·波兰尼(Michael Polanyi)将隐性知识描述为“我们知道的远比我们能表达的多”,或者指无需思考即可完成某事的能力,例如骑自行车(Polanyi, 1967Polanyi, 1967, quoted in Smith, 2001Smith, 2001). According to Smith (2001)Smith (2001), it is “practical, action-oriented knowledge or ‘know-how’ based on practice, acquired by personal experience, seldom expressed openly, often resembles intuition” (p. 314). So tacit knowledge is a kind of personal knowledge that is learned by members of an organization through experience and learning by doing在实践中学习, and is used to perform their work. It contains mental models, perceptions, insights, assumptions, personal beliefs个人信念, subjective insights, intuitions, instinct, and values. Since tacit knowledge is embedded in the minds of individuals in the form of their experience and competence, it is very difficult (not impossible) to codify and transfer to others. In the words of ,它是“基于实践、以行动为导向的实用知识或‘诀窍’,通过个人经验获取,很少公开表达,且常带有直觉色彩”(第314页)。因此,隐性知识是一种个人知识,由组织成员通过经验和在实践中学习而获得,并用于执行工作。它包含思维模型、感知、洞察、假设、个人信念、主观见解、直觉、本能和价值观。由于隐性知识以个人经验和能力的形式内化于个人头脑中,因此很难(并非不可能)将其编纂并转移给他人。用……的话说Nonaka (1991), “tacit knowledge is highly personal. It is hard to formalize and, therefore, difficult to communicate to others” (p. 98). Tacit knowledge隐性知识 can sometimes be communicated through a shared understanding between individuals. In other cases, tacit knowledge must be converted into explicit knowledge (ie, words, models, or numbers that can be understood) before sharing or communicating it to others (,“隐性知识具有高度的个人性。它难以形式化,因此难以与他人交流”(第98页)。隐性知识有时可以通过个人之间的共同理解来传达。在其他情况下,隐性知识必须在与他人共享或交流之前转化为显性知识(即可以被理解的文字、模型或数字)(Becerra-Fernandez and Sabherwal, 2006Becerra-Fernandez and Sabherwal, 2006). There are two dimensions of tacit knowledge as described by Smith (2001), the technical dimension and the cognitive dimension:迈克尔·波兰尼(Michael Polanyi)将隐性知识描述为“我们知道的远比我们能表达的多”,或者指无需思考即可完成某事的能力,例如骑自行车(Polanyi, 1967, 转引自 Smith, 2001)。根据 Smith (2001) 的说法,它是“基于实践、以行动为导向的实用知识或‘诀窍’,通过个人经验获取,很少公开表达,且常带有直觉色彩”(第314页)。因此,隐性知识是一种个人知识,由组织成员通过经验和在实践中学习而获得,并用于执行工作。它包含思维模型、感知、洞察、假设、个人信念、主观见解、直觉、本能和价值观。由于隐性知识以个人经验和能力的形式内化于个人头脑中,因此很难(并非不可能)将其编纂并转移给他人。用 Nonaka (1991) 的话说,“隐性知识具有高度的个人性。它难以形式化,因此难以与他人交流”(第98页)。隐性知识有时可以通过个人之间的共同理解来传达。在其他情况下,隐性知识必须在与他人共享或交流之前转化为显性知识(即可以被理解的文字、模型或数字)(Becerra-Fernandez and Sabherwal, 2006)。正如 Smith (2001) 所述,隐性知识有两个维度:技术维度和认知维度:
1.
The technical dimension of tacit knowledge encompasses the kind of informal and personal skills often captured in terms of “know-how”. This know-how is demonstrated when people master a specific body of knowledge or use skills like those gradually developed by master craftsmen. A craftsman develops a wealth of expertise after years of experience. But he often has difficulty articulating the technical or scientific principles of his or her craft. Thus highly subjective and personal insights, intuitions, hunches, and inspirations derived from a person's experience fall within the technical dimension of tacit knowledge.
The cognitive dimension of tacit knowledge consists of beliefs, perceptions, ideals, values, emotions, and implicit mental models so ingrained they are taken for granted (Sternberg, 1997). Cognitive tacit knowledge is deeply embedded in the human brain and therefore cannot be articulated very easily. Although not completely expressible in words or symbols, it may be communicated or revealed to others through rich modes of discourse that include the use of metaphors, analogies, demonstrations, mentoring, and stories.
Wijetunge (2002)Wijetunge (2002) classified the tacit knowledge of a university into two categories: internal tacit knowledge and external tacit knowledge. Internal tacit knowledge consists of senior and experienced employees with a sound knowledge of work procedures, rules and regulations, etc. and the unarticulated knowledge of the librarians themselves. External tacit knowledge consists of personnel external to the university with expert knowledge, that is, service personnel, subject experts, and any other person who provides expertise to university libraries.Wijetunge (2002) 将大学的隐性知识分为两类:内部隐性知识和外部隐性知识。内部隐性知识包括资深且经验丰富、对工作流程、规章制度等有深刻了解的员工,以及图书馆员自身未被表达的知识。外部隐性知识包括大学以外拥有专家知识的人员,即服务人员、学科专家以及任何为大学图书馆提供专业知识的人。
Bedford et al. (2015)Bedford 等人 (2015) discuss a library’s tacit knowledge that takes the form of intellectual assets, which they define as “an aggregation of the intellectual capital of all of its employees.” It consists of answers to questions, knowledge of sources, knowledge of subject domains, knowledge of information behaviors, knowledge of the publishing industry, foresight, etc.Bedford 等人 (2015) 讨论了以智力资产形式存在的图书馆隐性知识,他们将其定义为“其所有员工智力资本的总和”。它包含对问题的解答、对信息源的了解、对学科领域的了解、对信息行为的了解、对出版行业的了解、远见卓识等。
Explicit Knowledge显性知识
Explicit knowledge is defined by Choo (2000)Choo (2000) as “knowledge that is expressed formally using a system of symbols, and can therefore be easily communicated or diffused.” It is codified and digitized in books, documents, reports, spreadsheets, white papers, memos, training courses, and the like. Unlike tacit knowledge, explicit knowledge is formal and systematic, and therefore it can easily be retrieved, communicated, and shared through print, electronic, and other formal means. It is a type of academic knowledge that may be acquired through formal education or structured study. Since explicit knowledge is formal and systematic, it is described in formal languages, like manuals, mechanical expressions, copyright, and patents; it is codified and stored in documents, databases, and web pages; and it is retrieved with the help of high-quality, reliable, fast 为“使用符号系统正式表达,因此可以轻松交流或传播的知识”。它被编纂并数字化,存在于书籍、文档、报告、电子表格、白皮书、备忘录、培训课程等载体中。与隐性知识不同,显性知识是正式且系统的,因此可以通过印刷、电子及其他正式手段轻松检索、交流和共享。它是一种可以通过正规教育或结构化学习获得的学术知识。由于显性知识是正式且系统的,它以正式语言进行描述,例如手册、机械表达、版权和专利;它被编纂并存储在文档、数据库和网页中;并且借助高质量、可靠、快速information retrieval systems信息检索系统. However, the process of sharing explicit knowledge requires monetary investment for the development of an information technology infrastructure.为“使用符号系统正式表达,因此可以轻松交流或传播的知识”。它被编纂并数字化,存在于书籍、文档、报告、电子表格、白皮书、备忘录、培训课程等载体中。与隐性知识不同,显性知识是正式且系统的,因此可以通过印刷、电子及其他正式手段轻松检索、交流和共享。它是一种可以通过正规教育或结构化学习获得的学术知识。由于显性知识是正式且系统的,它以正式语言进行描述,例如手册、机械表达、版权和专利;它被编纂并存储在文档、数据库和网页中;并且借助高质量、可靠、快速的信息检索系统进行检索。然而,共享显性知识的过程需要对信息技术基础设施的开发进行资金投入。Choo (2000) 将显性知识定义为“使用符号系统正式表达,因此可以轻松交流或传播的知识”。它被编纂并数字化,存在于书籍、文档、报告、电子表格、白皮书、备忘录、培训课程等载体中。与隐性知识不同,显性知识是正式且系统的,因此可以通过印刷、电子及其他正式手段轻松检索、交流和共享。它是一种可以通过正规教育或结构化学习获得的学术知识。由于显性知识是正式且系统的,它以正式语言进行描述,例如手册、机械表达、版权和专利;它被编纂并存储在文档、数据库和网页中;并且借助高质量、可靠、快速的信息检索系统进行检索。然而,共享显性知识的过程需要对信息技术基础设施的开发进行资金投入。
Choo (2000) distinguishes explicit knowledge either as object-based or rule-based. Object-based knowledge is found in artifacts such as products, patents, software code, computer databases, technical drawings, tools, prototypes, photographs, voice recordings, films, and so on. Object-based knowledge is represented by strings of symbols (words, numbers, formulas), or is embodied in physical entities (equipment, models, substances).Choo (2000) 将显性知识区分为基于对象的知识或基于规则的知识。基于对象的知识存在于诸如产品、专利、软件代码、计算机数据库、技术图纸、工具、原型、照片、录音、电影等人工制品中。基于对象的知识由符号串(文字、数字、公式)表示,或体现于物理实体(设备、模型、物质)中。
Rule-based knowledge is codified into rules, routines, or operating procedures操作程序. A substantial part of an organization’s operational knowledge about how to do things is contained in its rules, routines, and procedures.基于规则的知识被编纂成规则、惯例或操作程序。组织中关于如何做事的很大一部分运营知识都包含在其规则、惯例和程序中。
An organization’s explicit knowledge also takes the form of intellectual assets which, according to Patrick Sullivan, are “the codified, tangible, or physical descriptions of specific knowledge to which the company can assert ownership rights. Any piece of knowledge that becomes defined usually by being written down or entered into a computer qualifies as an intellectual asset and can be protected. Intellectual assets are the source of innovation that the firm commercializes” (Sullivan, 1998, p. 23Sullivan, 1998, 第23页, cited in Choo, 2000).组织的显性知识也以智力资产的形式存在,根据 Patrick Sullivan 的说法,这是“公司可以主张所有权的特定知识的编纂、有形或物理描述。任何通过书写或输入计算机而被定义的知识片段都符合智力资产的条件,并可以受到保护。智力资产是公司商业化创新的源泉”(Sullivan, 1998, 第23页,转引自 Choo, 2000)。
Explicit knowledge codified as intellectual assets is valuable to an organization because it adds to the organization’s observable and tradeable stocks of knowledge (Choo, 2000). After codification, explicit knowledge assets can be reused to solve many similar types of problems or connect people with valuable, reusable knowledge. Once explicit knowledge is codified, it remains with the organization even after its inventors or authors leave the organization. Explicit knowledge serves three important purposes in an organization, as explained by Choo (2000):编纂为智力资产的显性知识对组织很有价值,因为它增加了组织可观察和可交易的知识储备(Choo, 2000)。编纂后,显性知识资产可以被重复使用以解决许多类似类型的问题,或将人员与有价值、可重用的知识联系起来。一旦显性知识被编纂,即使其发明者或作者离开组织,它仍会留在组织内。正如 Choo (2000) 所解释的那样,显性知识在组织中具有三个重要目的:
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it encodes past learning in artifacts and rules;
它将过去的学习编码在人工制品和规则中;
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it facilitates coordination between disparate activities and functions in the organization; and
它促进组织内不同活动和职能之间的协调;以及
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it signifies technical skill and procedural rationality, and so helps the organization to present a self-image of competence, legitimacy, and accountability.
它象征着技术技能和程序理性,从而帮助组织展示出能力、合法性和问责制的自我形象。
Bedford et al. (2015) observed that “explicit and encoded resources that libraries manage fall into the explicit knowledge category知识类别 in the intellectual capital profile of their authors or creators” (p. 83). A library’s explicit knowledge includes collection development policies发展政策, collection guides, conference proceedings, formal educational credentials教育证书, frequently asked questions, information standards, presentations, professional publications, reading lists, webinars, and workshops. 观察到,“图书馆管理的显性资源属于其作者或创造者智力资本概况中的显性知识类别”(第83页)。图书馆的显性知识包括馆藏发展政策、馆藏指南、会议记录、正式教育证书、常见问题解答、信息标准、演示文稿、专业出版物、阅读书目、网络研讨会和研讨会。Wijetunge (2002) identified two types of explicit knowledge in an academic institution: internal explicit knowledge and external explicit knowledge. Internal explicit knowledge consists of reports, guidelines, theses, databases, minutes of meetings, and any other type of tangible knowledge containers generated within the university. External explicit knowledge encompasses tangible material in the form of books, journals, reports, CD-ROMs, and any other media produced outside the university.Bedford 等人 (2015) 观察到,“图书馆管理的显性资源属于其作者或创造者智力资本概况中的显性知识类别”(第83页)。图书馆的显性知识包括馆藏发展政策、馆藏指南、会议记录、正式教育证书、常见问题解答、信息标准、演示文稿、专业出版物、阅读书目、网络研讨会和研讨会。Wijetunge (2002) 在学术机构中确定了两种类型的显性知识:内部显性知识和外部显性知识。内部显性知识包括在大学内部生成的报告、指南、论文、数据库、会议纪要以及任何其他类型的有形知识载体。外部显性知识涵盖了以书籍、期刊、报告、光盘及大学外部生产的任何其他媒体形式存在的有形材料。
Procedural Knowledge程序性知识
Procedural knowledge is defined as “an understanding of how to do a task or carry out a procedure” (Awad and Ghaziri, 2004, p. 68Awad and Ghaziri, 2004, 第68页). It consists of step-by-step procedures for handling various tasks or explaining various occurrences. Procedural knowledge is contained in the application of a procedure and it is reflected in manual, cognitive, and mental skills. Procedural knowledge usually involves psychomotor skills such as holding on to a handrail while riding an escalator. However, some procedural knowledge is not psychomotor. Examples of procedural knowledge in the context of a library include acquisitions and selection knowledge, budgeting knowledge, cataloging knowledge, circulation knowledge, facilities management knowledge, information-finding strategies, knowledge of information sources信息源, literacy training knowledge, personnel management knowledge, etc.)。它由处理各种任务或解释各种事件的分步程序组成。程序性知识包含在程序的应用中,并反映在手动、认知和心理技能中。程序性知识通常涉及心理运动技能,例如在乘坐自动扶梯时扶住扶手。然而,一些程序性知识并非心理运动性的。在图书馆背景下,程序性知识的例子包括采购和选择知识、预算知识、编目知识、流通知识、设施管理知识、信息查找策略、信息源知识、素养培训知识、人事管理知识等。程序性知识被定义为“对如何执行任务或实施程序的理解”(Awad and Ghaziri, 2004, 第68页)。它由处理各种任务或解释各种事件的分步程序组成。程序性知识包含在程序的应用中,并反映在手动、认知和心理技能中。程序性知识通常涉及心理运动技能,例如在乘坐自动扶梯时扶住扶手。然而,一些程序性知识并非心理运动性的。在图书馆背景下,程序性知识的例子包括采购和选择知识、预算知识、编目知识、流通知识、设施管理知识、信息查找策略、信息源知识、素养培训知识、人事管理知识等。
Cultural Knowledge文化知识
Davenport and Prusak (2000)Davenport 和 Prusak (2000) emphasized that, for a KM system知识管理系统 to be successful, it is critical to have a knowledge-oriented culture; that is, a culture that encourages and rewards knowledge sharing. The cultural knowledge of an organization consists of the beliefs that are held to be true based on experience, observation, and reflection about itself and its environment (强调,要使知识管理系统成功,拥有知识导向型文化至关重要;也就是说,一种鼓励并奖励知识共享的文化。组织的文化知识由基于自身及其环境的经验、观察和反思而被认为是真实的信念组成(Choo, 2000). An organization, over time, develops shared beliefs about the nature of its main business, core capabilities, markets, competitors, and so on. These beliefs are used as criteria for judging and selecting alternatives and new ideas, and for evaluating projects and proposals. Cultural knowledge文化知识 is used in an organization to answer questions such as “What kind of an organization are we?,” “What knowledge would be valuable to the organization?,” and “What knowledge would be worth pursuing?” The answers in turn depend on shared assumptions and beliefs about what business the organization is in, what its core competencies核心竞争力 are, and how it wants to grow over time ()。随着时间的推移,组织会形成关于其主要业务性质、核心能力、市场、竞争对手等的共同信念。这些信念被用作判断和选择替代方案及新想法,以及评估项目和提案的标准。文化知识在组织中用于回答诸如“我们是什么样的组织?”、“什么样的知识对组织有价值?”以及“什么样的知识值得追求?”等问题。答案反过来取决于关于组织从事什么业务、核心竞争力是什么以及希望如何随时间增长的共同假设和信念(Choo, 2000).Davenport 和 Prusak (2000) 强调,要使知识管理(KM)系统成功,拥有知识导向型文化至关重要;也就是说,一种鼓励并奖励知识共享的文化。组织的文化知识由基于自身及其环境的经验、观察和反思而被认为是真实的信念组成(Choo, 2000)。随着时间的推移,组织会形成关于其主要业务性质、核心能力、市场、竞争对手等的共同信念。这些信念被用作判断和选择替代方案及新想法,以及评估项目和提案的标准。文化知识在组织中用于回答诸如“我们是什么样的组织?”、“什么样的知识对组织有价值?”以及“什么样的知识值得追求?”等问题。答案反过来取决于关于组织从事什么业务、核心竞争力是什么以及希望如何随时间增长的共同假设和信念(Choo, 2000)。
Leonard (1995)Leonard (1995) describes how organizations supply and sustain values and norms that “determine what kinds of knowledge are sought and nurtured, what kinds of knowledge-building activities are tolerated and encouraged” (cited in Choo, 2000). Although cultural knowledge is not written down (but is conveyed in stories, histories, and reward or evaluation systems), it remains with the organization through employee changes and staff turnover. Cultural knowledge in a library includes collaborative, community-oriented, fair rewards and recognitions, service orientation and attitude, learning culture, mentoring and coaching culture, open-mindedness, being open to different types of learning experiences学习经验, being open to experimentation, and a strong community culture ()。虽然文化知识没有写下来(但通过故事、历史以及奖励或评估系统来传达),但它通过员工变更和人员流动保留在组织中。图书馆的文化知识包括协作、社区导向、公平的奖励和认可、服务导向和态度、学习文化、指导和教练文化、开放的思想、对不同类型学习经验的开放态度、对实验的开放态度以及强大的社区文化(Bedford et al., 2015Bedford 等人, 2015).Leonard (1995) 描述了组织如何提供和维持价值观与规范,这些价值观和规范“决定了寻求和培育什么样的知识,容忍和鼓励什么样的知识构建活动”(转引自 Choo, 2000)。虽然文化知识没有写下来(但通过故事、历史以及奖励或评估系统来传达),但它通过员工变更和人员流动保留在组织中。图书馆的文化知识包括协作、社区导向、公平的奖励和认可、服务导向和态度、学习文化、指导和教练文化、开放的思想、对不同类型学习经验的开放态度、对实验的开放态度以及强大的社区文化(Bedford 等人, 2015)。
To make KM efforts successful, it is important to differentiate between information and knowledge. Gandhi (2004, p. 371)Gandhi (2004, 第371页) emphasizes that:为了使知识管理工作取得成功,区分信息和知识很重要。Gandhi (2004, 第371页) 强调:
Not all information is knowledge. Information cannot become knowledge until it is analyzed and acted upon, and it will only be acted upon in the right organizational culture. While most organizations and employees suffer from information overload, they do not suffer from knowledge overload. On the contrary, there is a dearth of knowledge. One of the biggest challenges of KM lies in being able to make sense of the mountains of information, sifting out valuable information, and sharing it.
Academic libraries学术图书馆 have different types of knowledge: tacit, explicit, procedural, and cultural. In libraries, tacit knowledge resides in senior and experienced employees with a sound knowledge of information resources, work procedures, rules and regulations, etc. and the unarticulated knowledge contained in the librarians themselves. Explicit knowledge is either created within the organization, including reports, memos, guidelines, theses, minutes of meetings, etc., or acquired from 拥有不同类型的知识:隐性、显性、程序性和文化性知识。在图书馆中,隐性知识存在于资深且经验丰富、对信息资源、工作流程、规章制度等有深刻了解的员工,以及图书馆员自身未被表达的知识中。显性知识要么在组织内部创建,包括报告、备忘录、指南、论文、会议纪要等,要么从external sources外部来源, including books, journal articles databases, external reports, government information, etc. Procedural knowledge includes the knowledge of various library processes and functions (eg, knowledge of acquisition and technical processes, etc.). Cultural knowledge includes “the shared assumptions and beliefs that are used to describe and explain reality, as well as the criteria and expectations that are used to assign value and significance to new information” (学术图书馆拥有不同类型的知识:隐性、显性、程序性和文化性知识。在图书馆中,隐性知识存在于资深且经验丰富、对信息资源、工作流程、规章制度等有深刻了解的员工,以及图书馆员自身未被表达的知识中。显性知识要么在组织内部创建,包括报告、备忘录、指南、论文、会议纪要等,要么从外部来源获取,包括书籍、期刊文章、数据库、外部报告、政府信息等。程序性知识包括对各种图书馆流程和职能的了解(例如,对采购和技术流程的了解等)。文化知识包括“用于描述和解释现实的共同假设和信念,以及用于赋予新信息价值和意义的标准和期望”(Choo, 2000). Examples of different types of knowledge assets of libraries are shown in Table 5.1表 5.1.学术图书馆拥有不同类型的知识:隐性、显性、程序性和文化性知识。在图书馆中,隐性知识存在于资深且经验丰富、对信息资源、工作流程、规章制度等有深刻了解的员工,以及图书馆员自身未被表达的知识中。显性知识要么在组织内部创建,包括报告、备忘录、指南、论文、会议纪要等,要么从外部来源获取,包括书籍、期刊文章、数据库、外部报告、政府信息等。程序性知识包括对各种图书馆流程和职能的了解(例如,对采购和技术流程的了解等)。文化知识包括“用于描述和解释现实的共同假设和信念,以及用于赋予新信息价值和意义的标准和期望”(Choo, 2000)。图书馆不同类型知识资产的例子见表 5.1。
Table 5.1. Knowledge assets of libraries
表 5.1. 图书馆的知识资产
Types of knowledge
Examples of different types of knowledge
Tacit knowledge
Answers to questions Knowledge of library collections Knowledge of subject domains Knowledge of information behaviors Knowledge of scholarly publishing models
Explicit knowledge
Collection development policies Collection guides Conference proceedings Formal educational credentials Frequently asked questions Information standards Professional publications Reading lists Webinars and workshops
Procedural knowledge
Acquisitions and selection knowledge Budgeting knowledge Cataloging knowledge Circulation knowledge Facilities management knowledge Information-finding strategies Knowledge of information sources Literacy training knowledge Management knowledge Program planning knowledge Reference service knowledge Knowledge of search strategy formulation Storytelling knowledge System design knowledge
Cultural knowledge
Collaborative, community-oriented, fair rewards and recognitions Service orientation and attitude Learning culture Mentoring and coaching culture Open-mindedness Different types of learning and experimentation experiences Strong community culture
Courtesy Bedford, D.A.D., Donley, J.K., Lensenmayer, N., 2015. The role of librarians in a knowledge society: valuing our intellectual capital assets. In: Current Issues in Libraries, Information Science and Related Fields. Advances in Librarianship, vol. 39, pp. 81–113. Published online: 15 June 2015 http://dx.doi.org/10.1108/S0065-283020150000039011 (accessed 15.12.15).鸣谢 Bedford, D.A.D., Donley, J.K., Lensenmayer, N., 2015. 馆员在知识社会中的角色:评估我们的智力资本资产。收录于:《图书馆、信息科学及相关领域当前议题》。《图书馆学进展》,第39卷,第81–113页。在线发布:2015年6月15日 http://dx.doi.org/10.1108/S0065-283020150000039011(访问日期:2015年12月15日)。
All categories of knowledge are considered as the key knowledge assets of an academic library which should be managed properly. KM provides academic libraries with an enormous opportunity to improve their effectiveness, both for themselves and their parent institutions. Librarians in academic libraries can adopt KM practice as a way to expand the library’s role in areas such as administration or support services, where libraries have had little impact in the past. IT serves as a tool to help with capturing, organizing, sharing, and applying knowledge. An open favorable culture that encourages sharing of ideas and best practices and the transfer of knowledge is a critical enabler of KM.所有类别的知识都被视为学术图书馆的关键知识资产,应予以妥善管理。知识管理为学术图书馆提供了巨大的机会,可以提高其自身及其母体机构的效率。学术图书馆的馆员可以采取知识管理实践,作为扩大图书馆在行政或支持服务等领域作用的一种方式,这些领域在过去对图书馆的影响微乎其微。信息技术作为一种工具,有助于捕获、组织、共享和应用知识。一种鼓励分享想法和最佳实践以及知识转移的开放、有利的文化是知识管理的关键推动因素。
According to Polanyi (1966)tacit knowledge is nonverbalized, intuitive, and unarticulated knowledge. It is knowledge that resides in a human brain and that cannot easily be codified or captured. Nevertheless it is one of the aims of the field of artificial intelligence, and in particular of expert systems, to include exactly this kind of knowledge. Explicit knowledge is that kind of knowledge that can be articulated in a formal language and transmitted among individuals. It is the kind of knowledge found in all types of scientific publications.
2.1.2 Scientific Research2.1.2 科学研究
This Subsection is largely based on information from Wikipedia: http://en.wikipedia.org/wiki/Sciencehttp://en.wikipedia.org/wiki/Science. Persons who spend their professional time doing science are called scientists or researchers. Note that here and further on in this work the word “science” refers not only to the natural and biomedical sciences, but also to applied science (engineering), the social sciences, and the humanities. Outsiders may ask: Why do research, why publish research results研究成果? Is it for the benefit of humanity, out of curiosity, to increase one’s social standing, to have an attractive and respected occupation, or in pursuit of recognition? We do not try to answer these questions as the answers are highly personal. Some may even do research in the secret hope of becoming famous like Einstein. However, getting rich is rarely a motivation for doing academic research.为什么要发表研究成果?是为了人类的利益,出于好奇,为了提高社会地位,为了拥有一个有吸引力且受人尊敬的职业,还是为了追求认可?我们不试图回答这些问题,因为答案是非常个人的。有些人甚至可能怀着成为像爱因斯坦那样出名的人的秘密希望而进行研究。然而,发财很少是进行学术研究的动力。本小节主要基于来自维基百科的信息:http://en.wikipedia.org/wiki/Science。将职业生涯投入科学研究的人被称为科学家或研究人员。请注意,在此处及本书后续部分中,“科学”一词不仅指自然科学和生物医学科学,还包括应用科学(工程学)、社会科学和人文科学。局外人可能会问:为什么要进行研究,为什么要发表研究成果?是为了人类的利益,出于好奇,为了提高社会地位,为了拥有一个有吸引力且受人尊敬的职业,还是为了追求认可?我们不试图回答这些问题,因为答案是非常个人的。有些人甚至可能怀着成为像爱因斯坦那样出名的人的秘密希望而进行研究。然而,发财很少是进行学术研究的动力。
Whatever one’s field of inquiry one always has to deal with the “problem choice” the issue of choosing “good” research problems among a large amount of possibly interesting ones. Which criteria should one use to solve this question? Probably there is no general answer and being able to choose an interesting and soluble problem is just one of the characteristics that differentiates great scientists from good scientists.无论一个人的研究领域是什么,总要面对“问题选择”这一课题,即在大量可能有趣的问题中选择“好”的研究问题。应该使用什么标准来解决这个问题?可能没有通用的答案,能够选择一个有趣且可解决的问题,恰恰是区分伟大科学家与优秀科学家的特征之一。
Science is commonly viewed as an activity that leads to the accumulation of knowledge. Its main aim is to improve the knowledge of humanity by using scientific methods. The scientific method seeks to explain the events of nature in a logical and in most cases reproducible way (lab experiments must be reproducible but, e.g., the Big Bang is not). The use of such methods distinguishes a scientific approach from, for instance, a religious one, as supernatural explanations are never accepted in science.科学通常被视为一种导致知识积累的活动。其主要目的是通过使用科学方法来增进人类的知识。科学方法力求以逻辑且在大多数情况下可重现的方式解释自然界的事件(实验室实验必须是可重现的,但例如大爆炸则不然)。使用此类方法将科学方法与例如宗教方法区分开来,因为超自然的解释在科学中永远不会被接受。
Science can be described as a systematic endeavor to build and organize knowledge. Yet, performing scientific investigations differs in an essential way from following a recipe. It requires intelligence, imagination, and creativity. Research implies an inquiry process, including a problem statement, consideration of the significance of the problem, statement of the study objectives, research design, a clear and precise methodology, information about the reliability and validity of the results, appropriate data analysis, as well as a clear and logical presentation (Hernon & Schwartz, 2002Hernon & Schwartz, 2002).科学可以被描述为建立和组织知识的系统性努力。然而,进行科学调查与照方抓药有着本质的区别。它需要智慧、想象力和创造力。研究意味着一个探究过程,包括问题陈述、对问题重要性的考量、研究目标的陈述、研究设计、清晰精确的方法论、关于结果可靠性和有效性的信息、适当的数据分析以及清晰逻辑的呈现(Hernon & Schwartz, 2002)。
Scientific investigations can be subdivided into different types. One distinction is between formal and empirical sciences. Formal sciences are not based on observations, but on logic and a set of axioms from which other statements (theorems) are deduced. The most important formal sciences are logic and mathematics, but theoretical computer science理论计算机科学 and formal linguistics形式语言学 are formal sciences as well. Most sciences are empirical sciences, including natural sciences, social sciences, and the humanities. While natural sciences study the material world and natural phenomena, the social sciences and the humanities investigate human behavior and societies. Being a scientist in the natural sciences usually leads to formulating testable explanations and predictions about the universe, followed 科学调查可以细分为不同类型。一种区分是形式科学与经验科学。形式科学不是基于观察,而是基于逻辑和一组公理,并从中推导出其他陈述(定理)。最重要的形式科学是逻辑学和数学,但理论计算机科学和形式语言学也是形式科学。大多数科学是经验科学,包括自然科学、社会科学和人文科学。自然科学研究物质世界和自然现象,而社会科学和人文科学研究人类行为和社会。成为自然科学领域的科学家通常会导致制定关于宇宙的可检验解释和预测,随后by performing the actual experiments or trying to observe the expected phenomena (see further on when we discuss the work of Popper). Yet, there are exceptions such as large parts of cosmology or elementary particle physics (e.g., string theory) (Woit, 2006Woit, 2006) for which there do not (yet) exist experiments. One may say that such theories belong to a region that is part of the formal sciences, but are geared towards becoming empirical theories.科学调查可以细分为不同类型。一种区分是形式科学与经验科学。形式科学不是基于观察,而是基于逻辑和一组公理,并从中推导出其他陈述(定理)。最重要的形式科学是逻辑学和数学,但理论计算机科学和形式语言学也是形式科学。大多数科学是经验科学,包括自然科学、社会科学和人文科学。自然科学研究物质世界和自然现象,而社会科学和人文科学研究人类行为和社会。成为自然科学领域的科学家通常会导致制定关于宇宙的可检验解释和预测,随后进行实际实验或尝试观察预期的现象(当我们讨论波普尔的工作时,请参阅后续内容)。然而,也存在例外,例如宇宙学或基本粒子物理学(例如弦理论)的很大一部分(Woit, 2006),对于这些领域(目前)尚不存在实验。可以说,这样的理论属于形式科学的一部分,但旨在成为经验理论。
Disciplines that use science, like engineering and medicine, are referred to as applied sciences. Different engineering fields apply physics and chemistry (and possibly other fields), while medicine applies biology. Some applied fields use basic knowledge from different fields, including the formal sciences, such as genetic epidemiology which uses both biological and statistical methods, or synthetic biology合成生物学 which applies, among others, biotechnology and computer engineering.使用科学的学科,如工程学和医学,被称为应用科学。不同的工程领域应用物理学和化学(可能还有其他领域),而医学应用生物学。一些应用领域使用来自不同领域的基础知识,包括形式科学,例如遗传流行病学,它同时使用生物学和统计学方法;或者合成生物学,它应用生物技术和计算机工程等。
Another way of describing science is through Stokes’ classification which involves Pasteur’s quadrant (Stokes, 1997Stokes, 1997). Pasteur’s quadrant is a label given to a class of scientific research methods that seek fundamental understanding of scientific problems, and, at the same time, seek to be eventually beneficial to society. Louis Pasteur’s research is thought to exemplify this type of method, which bridges the gap between “basic” and “applied” research. The term Pasteur’s quadrant was introduced by Donald Stokes in his book with the same title (Stokes, 1997). As shown in Table 2.1表 2.1, scientific research can be classified according to whether it advances human knowledge人类知识 by seeking a fundamental understanding of nature (basic research), or whether it is primarily motivated by the need to solve immediate problems (applied research).,科学研究可以根据它是通过寻求对自然的基本理解来推进人类知识(基础研究),还是主要出于解决紧迫问题的需要(应用研究)来进行分类。描述科学的另一种方式是通过斯托克斯(Stokes)的分类,即巴斯德象限(Stokes, 1997)。巴斯德象限是赋予一类科学研究方法的标签,这些方法寻求对科学问题的基本理解,同时寻求最终对社会有益。路易·巴斯德的研究被认为体现了这种弥合“基础”研究与“应用”研究之间差距的方法。巴斯德象限这一术语是由唐纳德·斯托克斯(Donald Stokes)在他同名著作中引入的(Stokes, 1997)。如表 2.1 所示,科学研究可以根据它是通过寻求对自然的基本理解来推进人类知识(基础研究),还是主要出于解决紧迫问题的需要(应用研究)来进行分类。
Table 2.1. Pasteur’s quadrant
表 2.1. 巴斯德象限
Empty Cell
Considerations of use?
No
Yes
Quest for fundamental understanding
Yes
Pure basic research Bohr
Use-inspired basic research Pasteur
No
Pure applied research Edison
The result is three distinct classes of research. Pure basic research (exemplified by the work of the atomic physicist Niels Bohr), pure applied research (exemplified by the work of the inventor Thomas Edison), and use-inspired basic research (exemplified by the work of Louis Pasteur). Actions that involve neither a search for fundamental understanding nor any considerations of use, can hardly be called “research”—hence the empty fourth cell.结果是三类截然不同的研究:纯基础研究(以原子物理学家尼尔斯·玻尔的工作为代表)、纯应用研究(以发明家托马斯·爱迪生的工作为代表)以及受应用启发的应用研究(以路易·巴斯德的工作为代表)。既不涉及寻求基本理解也不涉及任何应用考量的行动,很难被称为“研究”——因此第四个象限是空的。
Project leaders with a mindset思维模式 belonging to the Pasteur quadrant are said to be the natural leaders of successful interdisciplinary work (具有巴斯德象限思维模式的项目负责人被认为是成功跨学科工作的天然领导者(Van Rijnsoever & Hessels, 2011Van Rijnsoever & Hessels, 2011).具有巴斯德象限思维模式的项目负责人被认为是成功跨学科工作的天然领导者(Van Rijnsoever & Hessels, 2011)。
As we will occasionally refer to the nature of the scientific method we include a short description of the ideas of Karl Popper and Thomas Kuhn. According to Popper (1959)波普尔(Popper, 1959) a scientific theory in the natural sciences must be empirical, which means that it is falsifiable可证伪. More concretely, a scientific theory leads to predictions. Falsification occurs when such a prediction (i.e., a logical consequence of the theory) is disproved either through observation of natural phenomena, or through experimentation i.e., trying to simulate natural events under controlled conditions, as appropriate to the discipline. In the observational sciences, such as astronomy or geology地质学, a predicted observation might take the place of a controlled experiment. Popper stressed that if one singular conclusion of a theory is falsified the whole theory is falsified and must be discarded, or at least modified. If the hypothesis survived repeated testing, it may become adopted into the framework of a scientific theory. Yet, he writes:。更具体地说,科学理论会导致预测。当这样的预测(即理论的逻辑推论)通过观察自然现象或通过实验(即在受控条件下尝试模拟自然事件,视学科而定)被反驳时,就会发生证伪。在观察科学中,如天文学或地质学,预测的观察可能会代替受控实验。波普尔强调,如果一个理论的单个结论被证伪,整个理论就被证伪,必须被抛弃或至少被修改。如果假设在反复测试中幸存下来,它可能会被采纳到科学理论的框架中。然而,他写道:由于我们将偶尔提及科学方法的本质,因此我们简要描述了卡尔·波普尔(Karl Popper)和托马斯·库恩(Thomas Kuhn)的思想。根据波普尔(Popper, 1959)的观点,自然科学中的科学理论必须是经验性的,这意味着它是可证伪的。更具体地说,科学理论会导致预测。当这样的预测(即理论的逻辑推论)通过观察自然现象或通过实验(即在受控条件下尝试模拟自然事件,视学科而定)被反驳时,就会发生证伪。在观察科学中,如天文学或地质学,预测的观察可能会代替受控实验。波普尔强调,如果一个理论的单个结论被证伪,整个理论就被证伪,必须被抛弃或至少被修改。如果假设在反复测试中幸存下来,它可能会被采纳到科学理论的框架中。然而,他写道:
A positive decision can only temporarily support the theory, for subsequent negative decisions may always overthrow it. So long as a theory withstands detailed and severe tests and it is not superseded by another theory in the course of scientific progress, we may say that is has “proved its mettle” or that it is “corroborated” by past experience.一个积极的决定只能暂时支持该理论,因为随后的消极决定总能推翻它。只要一个理论经受住了详细而严苛的测试,并且在科学进步的过程中没有被另一个理论所取代,我们就可以说它已经“证明了自己的实力”,或者它已被过去的经验所“证实”。
In addition to testing hypotheses, scientists may also generate a model based on observed phenomena. This is an attempt to describe or depict a phenomenon in terms of a logical, physical or mathematical representation and to generate new hypotheses that can be tested. While performing experiments to test hypotheses, scientists may have a preference for one outcome over another (called a confirmation bias), and so it is important to ensure that science as a whole can eliminate this bias. After the results of an experiment are announced or published, it is normal practice for independent researchers to double-check how the research was performed, and to follow up by performing similar experiments i.e., to replicate the original experiments. Taken in its entirety, the scientific method allows for highly creative problem solving (Gattei, 2009Gattei, 2009).除了检验假设外,科学家还可以基于观察到的现象构建模型。这是一种尝试,旨在通过逻辑、物理或数学表征来描述或描绘某种现象,并据此提出可供检验的新假设。在进行实验以检验假设时,科学家可能会偏向于某种特定的结果(即确认偏误),因此,确保科学作为一个整体能够消除这种偏误至关重要。在实验结果公布或发表后,由独立研究人员对研究执行过程进行复核,并通过进行类似实验(即重复原始实验)来进行后续验证,是常规的做法。从整体上看,科学方法允许进行高度创造性的问题解决(Gattei, 2009)。
Another important aspect of Popper’s philosophy, is his theory of the three worlds or universes:波普尔哲学的另一个重要方面是他关于三个世界或宇宙的理论:
First, the world of physical objects or of physical states, secondly, the world of states of consciousness, or of mental states, or perhaps of behavioural dispositions to act, and thirdly, the world of objective contents of thought, especially of scientific or poetic thoughts and works of art.首先是物理对象或物理状态的世界;其次是意识状态、心理状态,或许还有行为倾向的世界;第三是思想的客观内容的世界,尤其是科学或诗意的思想以及艺术作品的世界。
Clearly the information sciences reflect on objects belonging to World 3. More information on the life and ideas of Popper can be found in Stokes, 1998Stokes, 1998.显然,信息科学反映了属于“世界3”的对象。关于波普尔生平及其思想的更多信息,可参阅 Stokes, 1998。
When it comes to the nature of the scientific method, we also want to mention Thomas Kuhn’s work (Kuhn, 1962Kuhn, 1962) and his use of the term paradigm范式. A paradigm can be described as “a typical example or pattern of something” (http://www.merriam-webster.com/http://www.merriam-webster.com/). Yet, when scientists use the word paradigm they mostly have in mind the set of practices that define a scientific discipline科学学科 at a particular period of time, as proposed by Kuhn. More precisely in )。然而,当科学家使用“范式”一词时,他们更多是指库恩所提出的、在特定时期定义某一科学学科的一套实践。更准确地说,在The Structure of 《科学革命的Scientific Revolutions结构》《科学革命的结构》 (Kuhn, 1962) he defines scientific paradigms as: “universally recognized scientific achievements that, for a time, provide model problems and solutions for a community of practitioners.普遍公认的科学成就,在一段时间内为实践者社区提供模型问题和解决方案。” Kuhn saw the sciences as going through alternating periods of normal science, when an existing model of reality dominates, and revolution, when the model of reality itself undergoes a sudden drastic change. Paradigms have two aspects. Firstly, within normal science, the term refers to the set of exemplary experiments that are likely to be copied or emulated. (https://en.wikipedia.org/wiki/Paradigmhttps://en.wikipedia.org/wiki/Paradigm). The choice of exemplars is a specific way of viewing reality: this view and the status of “exemplar” are mutually reinforcing. Secondly, underpinning this set of exemplars are shared preconceptions, made prior to (and conditioning) the collection of scientific evidence. In contrast to Popper, results in conflict with the prevailing paradigm (anomalies), are for Kuhn considered to be due to errors on the part of the researcher. It is only when conflicting evidence increases, that a crisis point is reached where a new consensus view is arrived at, generating a paradigm shift.谈到科学方法的本质,我们还想提及托马斯·库恩(Thomas Kuhn)的工作(Kuhn, 1962)及其对“范式”(paradigm)一词的使用。范式可以被描述为“某种事物的典型范例或模式”(http://www.merriam-webster.com/)。然而,当科学家使用“范式”一词时,他们更多是指库恩所提出的、在特定时期定义某一科学学科的一套实践。更准确地说,在《科学革命的结构》(Kuhn, 1962)一书中,他将科学范式定义为:“普遍公认的科学成就,在一段时间内为实践者社区提供模型问题和解决方案。”库恩认为,科学经历着“常规科学”(当现有的现实模型占据主导地位时)与“革命”(当现实模型本身发生突变时)的交替时期。范式有两个方面。首先,在常规科学内部,该术语指的是那些很可能被复制或效仿的典范实验(https://en.wikipedia.org/wiki/Paradigm)。对典范的选择是一种看待现实的特定方式:这种观点与“典范”的地位是相互强化的。其次,支撑这套典范的是共享的先入之见,这些先入之见是在收集科学证据之前形成的(并制约着证据的收集)。与波普尔相反,对于库恩来说,与主流范式相冲突的结果(异常)被认为是研究人员的错误所致。只有当冲突证据不断增加,达到临界点,从而达成新的共识观点时,才会产生范式转移。
Popper’s ideas can be said to be prescriptive while Kuhn’s are more descriptive. Both originated from reflections on the natural sciences. For this reason we mention another model, originating from the social sciences, proposed by Van der Veer Martens and Goodrum (2006)Van der Veer Martens 和 Goodrum (2006). This model has three types of factors: empirical factors, socio-cognitive factors and theoretical factors. The first and the last type have two aspects each so that there are in total five factors. These are:波普尔的思想可以说是规范性的,而库恩的思想则更具描述性。两者都源于对自然科学的思考。因此,我们提及另一个源于社会科学、由 Van der Veer Martens 和 Goodrum(2006)提出的模型。该模型包含三类因素:经验因素、社会认知因素和理论因素。第一类和最后一类各有两方面,因此总共有五个因素。它们是:
Concretely, these factors are related to the following questions:具体而言,这些因素与以下问题相关:
•
Applicability (the first empirical factor)
Does this theory apply to a wide variety of phenomena?
该理论是否适用于多种多样的现象?
How salient are the phenomena? Or stated otherwise: How important are these phenomena?
这些现象有多突出?或者换句话说:这些现象有多重要?
•
Constructivity (the second empirical factor)
Is this theory constructed so as to facilitate its testing or replication?
该理论的构建是否便于其检验或复制?
•
Accessibility (the only socio-cognitive factor)
How easy is this theory to understand and utilize?
该理论是否易于理解和利用?
How important is it to the discipline as a whole?
它对整个学科有多重要?
What types of publication channel have carried it?
它通过何种类型的出版渠道传播?
How else has this theory been communicated?
该理论还有哪些其他传播方式?
•
Connectivity (the first theoretical factor)
How does this theory fit into existing theoretical frameworks?
Can this theory generate a new theoretical framework or new uses of earlier theories?
该理论能否产生新的理论框架或早期理论的新用途?
Although presented as a model for theories in the social sciences, we think that its applicability goes beyond the social sciences and hence can be applied to many other fields of investigation.虽然该模型是作为社会科学理论的模型提出的,但我们认为其适用性超出了社会科学范畴,因此可以应用于许多其他研究领域。
We note that the term science科学 is also used to denote reliable and teachable knowledge about a topic, as in library and information science图书馆与信息科学, computer science计算机科学 or public health公共卫生 science公共卫生科学.我们注意到,“科学”一词也被用来表示关于某个主题的可靠且可传授的知识,例如图书馆与信息科学、计算机科学或公共卫生科学。
Because of increasing pressures and increasing needs for funds, science is, unfortunately, becoming more a race of all against all, instead of a joint human endeavor for the benefit of humanity. Yet, or maybe because of this, scientists form collaborating teams (often international groups) leading to an increase of multiauthored publications. Notwithstanding this caveat, the basic purpose of scientific research is still to benefit the community at large by trying to know the unknown, explore the unexplored and create awareness about new research findings.由于压力和资金需求日益增加,科学不幸地正变得越来越像一场所有人对抗所有人的竞赛,而不是为了人类利益而共同努力的事业。然而,也正因如此(或者恰恰是因为这个原因),科学家们组成了协作团队(通常是国际小组),导致多作者出版物增加。尽管有此告诫,科学研究的基本目的仍然是通过认识未知、探索未被探索的领域并建立对新研究发现的认知,来造福广大社会。
2.1.3 Citizen Science2.1.3 公民科学
A relative newcomer in the realm of science is the citizen scientist and the terms citizen science or crowd science. This term refers to amateurs or networks of volunteers who participate in a scientific project, usually by collecting or analyzing data. It is a form of public participation in the scientific enterprise事业. It is said that such participation contributes positively to science-society-policy interactions and is a form of democratization民主化 of science. Newer technologies, often computer related, have increased the options for citizen science.科学领域的一个相对新来者是“公民科学家”,以及“公民科学”或“众包科学”等术语。该术语指参与科学项目的业余爱好者或志愿者网络,通常通过收集或分析数据来参与。这是公众参与科学事业的一种形式。据说这种参与对科学-社会-政策的互动有积极贡献,也是科学民主化的一种形式。通常与计算机相关的新技术增加了公民科学的选择。
2.1.4 Open Science2.1.4 开放科学
Following the footsteps of movements like open source, open science开放科学 is a movement that aims to make research and research output more accessible. By making data, software and publications openly accessible, researchers can increase the transparency and replicability of their research, both for colleagues and a wider audience. As such, open science and citizen science are related in bringing science to the general public.追随开源等运动的脚步,开放科学是一场旨在使研究及其产出更易于获取的运动。通过使数据、软件和出版物公开可访问,研究人员可以提高其研究的透明度和可复制性,无论是对同行还是对更广泛的受众而言。因此,开放科学和公民科学在将科学带给大众方面是相关的。
4.3 Research on tacit/embodied knowledge in the West4.3 西方关于默会/具身知识的研究
Literature on tacit and embodied knowledge具身知识 has increased during the last three decades in the West. Previously, embodied/tacit knowledge and skills were not a major topic of philosophical inquiry. However, since 1980s, 在过去三十年中,西方对此的研究有所增加。此前,具身/默会知识和技能并非哲学研究的主要课题。然而,自20世纪80年代以来,sociologists社会学家 of science and technology realized the critical roles played by tacit knowledge and skills in scientific and technological research, teaching, and knowledge production with significant results. Insight into the various forms of embodied/tacit knowledge and skill in biomedical practice such as prenatal care, occupational therapy, nursing practice, surgical operation, has been provided. Research into knowledge management and research policy has also contributed to the understanding of the critical role of tacit knowledge and skill in technological design and knowledge as well as skill transfer and transmission.过去三十年来,西方关于默会知识(tacit knowledge)和具身知识(embodied knowledge)的文献有所增加。此前,具身/默会知识和技能并非哲学研究的主要课题。然而,自20世纪80年代以来,科学技术社会学家意识到默会知识和技能在科学技术研究、教学和知识生产中发挥着关键作用,并取得了显著成果。人们对生物医学实践中各种形式的具身/默会知识和技能有了深入了解,例如产前护理、职业治疗、护理实践和外科手术等。对知识管理和研究政策的研究也促成了对默会知识和技能在技术设计以及知识和技能转移与传播中关键作用的理解。
Sociologists of science and technology have adopted Polanyi's concept of tacit knowledge. They define tacit knowledge as:科学技术社会学家采纳了波兰尼(Polanyi)的默会知识概念。他们将默会知识定义为:
Knowledge that is “imperfectly accessible to conscious thought” [Nelson and Winter, 1982, p. 79] yet will show its presence in the success of our performance using that knowledge. Using Polanyi's own famous example, he argues that a skilled swimmer are often unaware of the fact that keep one's lung full of air will enhance one's buoyancy while swimming yet will automatically do this while swimming.那种“难以完全通过意识思维获取”[Nelson and Winter, 1982, p. 79],但会在我们运用该知识取得成功时表现出来的知识。以波兰尼著名的例子为例,他认为熟练的游泳者往往意识不到保持肺部充满空气会增加游泳时的浮力,但在游泳时却会自动这样做。
Knowledge that is difficult or impossible to communicate to others with symbolic forms such as spoken/written language, or picture to successfully execute an action, even when full self-awareness is achieved. That is, one has to perform the knowledge or skill in order to convey it to others. This is the knowledge that is shared by the master with his apprentices or the “learning by doing” kind of knowledge where observation, imitation, correction and repetition are the essential modes of learning [Polanyi, 1966]. In other words, tacit knowledge could only be acquired and communicated through experience. Gertler, 2003, pp. 77-8]即使在完全自我意识的情况下,也难以或无法通过口头/书面语言或图片等符号形式与他人交流以成功执行某种动作的知识。也就是说,一个人必须亲自实践该知识或技能才能将其传达给他人。这就是师傅与学徒共享的知识,或者是通过观察、模仿、纠正和重复作为基本学习模式的“干中学”式的知识 [Polanyi, 1966]。换句话说,默会知识只能通过经验来获得和交流。(Gertler, 2003, pp. 77-8)
那种“难以完全通过意识思维获取”[Nelson and Winter, 1982, p. 79],但会在我们运用该知识取得成功时表现出来的知识。以波兰尼著名的例子为例,他认为熟练的游泳者往往意识不到保持肺部充满空气会增加游泳时的浮力,但在游泳时却会自动这样做。即使在完全自我意识的情况下,也难以或无法通过口头/书面语言或图片等符号形式与他人交流以成功执行某种动作的知识。也就是说,一个人必须亲自实践该知识或技能才能将其传达给他人。这就是师傅与学徒共享的知识,或者是通过观察、模仿、纠正和重复作为基本学习模式的“干中学”(learning by doing)式的知识 [Polanyi, 1966]。换句话说,默会知识只能通过经验来获得和交流。(Gertler, 2003, pp. 77-8)
For sociologists of science and technology, the tacitness of knowledge has significant implications for our understanding of process in scientific and technology research, training, and learning, and most importantly on the decision making process决策过程 whereby tacit knowledge functions implicitly. The most distinctive characteristic of such tacit/embodied knowledge and skill is its implicit nature as convincingly argued by Polanyi [对于科学技术社会学家来说,知识的默会性对我们理解科学和技术研究、培训和学习过程,以及最重要的是默会知识隐性发挥作用的决策过程具有重要意义。正如波兰尼 [1966, p. 126]:对于科学技术社会学家来说,知识的默会性对我们理解科学和技术研究、培训和学习过程,以及最重要的是默会知识隐性发挥作用的决策过程具有重要意义。正如波兰尼 [1966, p. 126] 令人信服地论证的那样,这种默会/具身知识和技能最显著的特征是其隐性本质:
The analysis of a skilful feat in terms of its constituent motions remains always incomplete. There are notorious cases, like the distinctive ‘touch’ of a pianist, in which the analysis of a skill has long been debated inconclusively; and common experience shows that no skill can be acquired by learning its constituent motions separately. Moreover, here too isolation modifies the particulars: their dynamic quality is lost. Indeed, the identification of the constituent motions of a skill tends to paralyse its performance. Only by turning our attention away from the particulars and towards their joint purpose, can we restore to the isolated motions the qualities required for achieving their purpose.
Research on embodied knowledge in medical practice医学实践 is more specialized. Like sociologists of science and technology, medical researchers highlight the inexplicability of tacit knowledge. Schell and Schell [2008, p. 71] tell an illuminating story of gaining embodied knowledge as occupational therapists:关于医学实践中具身知识的研究更为专业。与科学技术社会学家一样,医学研究人员强调了默会知识的不可言说性。Schell 和 Schell [2008, p. 71] 讲述了一个关于职业治疗师获得具身知识的启发性故事:
I remember being told that spasticity was a function of abnormal muscle tone, and could be detected by rapidly stretching the affected muscles. If the person had spasticity you would detect a “clasp-knife type of catch and release.” I confess that I had no idea what that meant. It wasn't until I started working with individuals who were recovering from brain injuries that I actually felt spasticity (i.e., used my own sense of touch and proprioception to gauge the muscle tension and release of that tension). Then I understood what was meant. Over time I learned to feel the difference between spasticity, rigidity, and other muscle problems, as opposed to tightness in joints capsule. This in turn led me to think about activity possibilities and limitations in different ways as I worked with the person to increase his or her functional abilities.
Such embodied knowledge involves all sensory faculties.这种具身知识涉及所有的感官能力。
For instance, therapists working with individuals with persistent mental illness will notice if a client has body odour or smells as if he is not keeping up with his personal hygiene. This becomes a clue to explore what is going on in terms of his bathing and laundry routines. Therapists working with young children with sensory processing problems and attention deficit syndromes will see the child move his body, hear the change in the child's rate and quality of speech, and interpret from these cues that the child is becoming agitated by sensory overload. This prompts the therapists to introduce calming strategies or to teach parents how to manage the child's environment to avoid sensory overload. [Schell and Schell, 2008, p. 71]
例如,与患有持续性精神疾病的个体一起工作的治疗师会注意到客户是否有体味,或者闻起来似乎没有保持个人卫生。这成为了探索其洗澡和洗衣习惯方面出了什么问题的线索。与患有感觉处理问题和注意力缺陷综合征的幼儿一起工作的治疗师会观察孩子的身体动作,听到孩子说话语速和质量的变化,并从这些线索中解读出孩子因感觉过载而变得烦躁。这促使治疗师引入镇静策略或教导父母如何管理孩子的环境以避免感觉过载。[Schell and Schell, 2008, p. 71]
They also emphasise the embodiment of the tacit knowledge, i.e., the existential aspect of knowledge, that is, how the body/mind experiences it when acquiring such knowledge. For example, for nursing practice, the embodiment of the knowledge manifests in patients unique understanding of their bodily function. Wild [20032003, p. 172] noticed that patients with a urine catcher linked recurring tract infection with disrupted urine flow and pay close attention to their urine flow and drinking more water to insure urine flow.他们还强调了默会知识的具身性,即知识的存在主义层面,也就是当身体/心智在获得此类知识时是如何体验它的。例如,对于护理实践,知识的具身性体现在患者对其身体功能的独特理解上。Wild [2003, p. 172] 注意到,使用导尿管的患者将反复发生的尿路感染与尿流中断联系起来,因此密切关注自己的尿流并多喝水以确保尿流顺畅。
Medical anthropology医学人类学 also explicitly reflects on the significance of embodied knowledge in medical practice. 医学人类学也明确反思了具身知识在医学实践中的重要性。Gordon [1988Gordon [1988, p. 269] points out that “much of clinical and practical knowledge is ‘embodied’ knowledge — knowledge sensed through and with the body. This includes senses of sight, sound, touch, smell”. Cassell [19981998, p. 32] argues that being a surgeon is fundamentally “a physical proficiency.… [L]ike sports and the performing arts, surgery is based on body learning, body knowledge. … One masters these skills by doing, not talking”.医学人类学也明确反思了具身知识在医学实践中的重要性。Gordon [1988, p. 269] 指出,“许多临床和实践知识是‘具身’知识——通过身体并与身体一起感知的知识。这包括视觉、听觉、触觉、嗅觉等感官”。Cassell [1998, p. 32] 认为,成为一名外科医生从根本上说是“一种身体能力……像体育和表演艺术一样,外科手术基于身体学习、身体知识。……人们通过做而不是说来掌握这些技能”。
However, although the embodied knowledge is acknowledged by such researchers of Western medical practice, the significance of such knowledge is marginalized and ignored in accepted clinical decision-making processes. Instead, clinical decisionmaking is believed by practitioners to be exclusively based on evidence acquired through instruments, i.e., data from biochemical生化 tests. Randomised-controlled trials and truth-preserving logical reasoning justify such techniques. Ellingson [然而,尽管这些西方医学实践的研究人员承认具身知识,但这种知识的重要性在公认的临床决策过程中却被边缘化和忽视了。相反,从业者认为临床决策完全基于通过仪器获得的证据,即来自生化测试的数据。随机对照试验和保持真理的逻辑推理证明了这些技术的合理性。Ellingson [20062006, p. 301] argues that the mind-body dichotomy二元论 means that knowledge has to be disembodied, that is, the body of the researcher should not be involved in any way in the process of generating knowledge, let alone should it become the main source of information for clinical decision making决策:p. 301] 认为,身心二元论意味着知识必须是脱离身体的,也就是说,研究人员的身体不应以任何方式参与知识生成过程,更不用说成为临床决策的主要信息来源:
Research reports typically are written following strictly social scientific or medical conventions, in which the author's agency is obscured via passive voice (e.g., “the data were collected') or represented through a sanitized “I,” who reports having taken actions without describing any details of the body through which the actions were taken.
Information acquired via a human body's sensory faculty is rejected as evidence because it is regarded as subjective and unreliable. Hunter [19911991, p. 52] explains the underlying rationale thus:通过人体感官获取的信息被拒绝作为证据,因为它被认为是主观且不可靠的。Hunter [1991, p. 52] 解释了其背后的基本原理:
The aim of medical discourse is always to eliminate or control the purely personal and subjective, whether its source be patient or physician, so that the physical anomalies that characterized illness can receive the attention their successful treatment requires. Illness is a subjective experience, and the examining physician faces the task of translating it, locating the malady in the medical universe and conveying its characteristics and their meaning to others who know the medical language well … All case presentations seek to turn an individual physician's interpretation of the patient's subjective and private experience of illness into an objective, scientific — or, from another viewpoint, a reliably intersubjective and medically recognizable — account of disease.
In other words, information that supports a diagnostic诊断 and therapeutic decision ought to be scientifically reliable and objectively measurable. As shown by sociologists and medical anthropologists, embodied knowledge and skills play an essential role in clinical practice. However such knowledge and skill are not sufficient to 换句话说,支持诊断和治疗决策的信息应该是科学上可靠且客观可测量的。正如社会学家和医学人类学家所展示的那样,具身知识和技能在临床实践中起着至关重要的作用。然而,这种知识和技能不足以justify证明 diagnostic or therapeutic decisions. The medical profession专业 must rely on test results测试结果 that do not contain ‘purely personal and subjective’ information.诊断或治疗决策。医学界必须依赖不包含“纯粹个人和主观”信息的测试结果。
Knowledge is now widely acknowledged to be a source of competitive advantage, and a great deal of attention surrounds knowledge management research and practice. We believe that creating knowledge through the synthesis of tacit and explicit knowledge is more important than managing knowledge (explicit knowledge). Nippon Roche has made it clear that organizations can benefit from recognizing the power of tacit knowledge, creating knowledge through capturing the HQTK embedded in people, making it explicit, and incorporating synthesized knowledge into key organizational activities.知识现在被广泛认为是竞争优势的来源,知识管理的研究和实践受到了极大的关注。我们认为,通过综合默会知识和显性知识来创造知识,比管理知识(显性知识)更为重要。日本罗氏(Nippon Roche)明确表示,组织可以通过认识到默会知识的力量,通过捕捉嵌入在人身上的高质量默会知识(HQTK)并将其显性化,以及将综合后的知识纳入关键组织活动中来创造知识,从而从中受益。
We know that individuals create knowledge through collaborating with others in groups/teams in an organizational context. In today's competitive and complex business environment, helping individuals to achieve their full potential and contribute new knowledge is a critical management issue. Although coaching, mentoring, and storytelling are receiving increasing attention from KM researchers and practitioners, alone these techniques are not enough to ensure the creation of knowledge.我们知道,个人通过在组织环境中的小组/团队协作来创造知识。在当今竞争激烈且复杂的商业环境中,帮助个人充分发挥潜力并贡献新知识是一个关键的管理问题。尽管辅导、指导和讲故事正受到知识管理研究人员和从业者的日益关注,但仅靠这些技术不足以确保知识的创造。
Through introducing the SST project, Nippon Roche facilitated the knowledge spiral (the SECI model), implemented the concept of Ba (the SST project), and exploited knowledge assets (skills and experiences of the high-performing MRs) to create new knowledge. The outcome of the SST project went beyond sales process innovation at the project level. It contributed to continuous innovation at an organizational level. In our view, recognizing the power of tacit knowledge and making efforts to create knowledge through capturing HQTK, synthesizing tacit and explicit knowledge, and incorporating the synthesized knowledge into corporate activities, distributed leadership and collaborative efforts among the people involved have contributed to continuous innovation at Nippon Roche.(SST项目),并利用知识资产(高绩效医药代表的技能和经验)来创造新知识。SST项目的成果超越了项目层面的销售流程创新,它促进了组织层面的持续创新。在我们看来,认识到默会知识的力量,并努力通过捕捉高质量默会知识(HQTK)、综合默会和显性知识,并将综合后的知识纳入企业活动,以及相关人员之间的分布式领导和协作努力,共同促进了日本罗氏的持续创新。通过引入SST项目,日本罗氏促进了知识螺旋(SECI模型),实施了“场”(Ba)的概念(SST项目),并利用知识资产(高绩效医药代表的技能和经验)来创造新知识。SST项目的成果超越了项目层面的销售流程创新,它促进了组织层面的持续创新。在我们看来,认识到默会知识的力量,并努力通过捕捉高质量默会知识(HQTK)、综合默会和显性知识,并将综合后的知识纳入企业活动,以及相关人员之间的分布式领导和协作努力,共同促进了日本罗氏的持续创新。
The key lessons for researchers and practitioners in the field of knowledge management are quite simple: just managing knowledge (explicit knowledge) by using existing tools and techniques is not enough for continuous innovation. Organizations seeking continuous innovation must recognize the power of tacit knowledge, make efforts to capture HQTK, synthesize tacit and explicit knowledge and incorporate synthesized knowledge into key organizational activities. They also must nurture and facilitate knowledge activists to play distributed leadership roles as synthesizers of knowledge. In short, to enhance competitive advantage in today's rapidly changing business environment, organizations must recognize the power of tacit knowledge and make efforts towards creating knowledge, rather than just managing it.对于知识管理领域的科研人员和从业者来说,关键的经验教训非常简单:仅通过使用现有工具和技术来管理知识(显性知识)不足以实现持续创新。寻求持续创新的组织必须认识到默会知识的力量,努力捕捉高质量默会知识(HQTK),综合默会知识和显性知识,并将综合后的知识纳入关键组织活动。他们还必须培养和促进知识活动家,使其作为知识的综合者发挥分布式领导作用。简而言之,为了在当今瞬息万变的商业环境中增强竞争优势,组织必须认识到默会知识的力量,并致力于创造知识,而不仅仅是管理知识。
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prodList[i].publishDate = prodList[i].publishDate/1000;
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merch.push('evar123=' + this.stripProductDelimiters(pageDataTracker.getFormattedDate(prodList[i].publishDate)));
var publishAge = Math.floor((nowTs - prodList[i].publishDate) / 86400);
publishAge = (publishAge === 0) ? 'zero' : publishAge;
merch.push('evar127=' + publishAge);
}
if (prodList[i].onlineDate && prodList[i].publishDate) {
merch.push('evar38=' + this.stripProductDelimiters(pageDataTracker.getFormattedDate(prodList[i].onlineDate) + '^' + pageDataTracker.getFormattedDate(prodList[i].publishDate)));
}
if (prodList[i].mapId) {
merch.push('evar70=' + this.stripProductDelimiters(prodList[i].mapId));
}
if (prodList[i].relevancyScore) {
merch.push('evar71=' + this.stripProductDelimiters(prodList[i].relevancyScore));
}
if (prodList[i].status) {
merch.push('evar73=' + this.stripProductDelimiters(prodList[i].status));
}
if (prodList[i].previousStatus) {
merch.push('evar111=' + this.stripProductDelimiters(prodList[i].previousStatus));
}
if (prodList[i].entitlementType) {
merch.push('evar80=' + this.stripProductDelimiters(prodList[i].entitlementType));
}
if (prodList[i].recordType) {
merch.push('evar93=' + this.stripProductDelimiters(prodList[i].recordType));
}
if (prodList[i].exportType) {
merch.push('evar99=' + this.stripProductDelimiters(prodList[i].exportType));
}
if (prodList[i].importType) {
merch.push('evar142=' + this.stripProductDelimiters(prodList[i].importType));
}
if (prodList[i].section) {
merch.push('evar100=' + this.stripProductDelimiters(prodList[i].section));
}
if (prodList[i].detail) {
merch.push('evar104=' + this.stripProductDelimiters(prodList[i].detail.toLowerCase()));
} else if(prodList[i].details) {
merch.push('evar104=' + this.stripProductDelimiters(prodList[i].details.toLowerCase()));
}
if (prodList[i].position) {
merch.push('evar116=' + this.stripProductDelimiters(prodList[i].position));
}
if (prodList[i].publicationTitle) {
merch.push('evar129=' + this.stripProductDelimiters(prodList[i].publicationTitle));
}
if (prodList[i].specialIssueTitle) {
merch.push('evar130=' + this.stripProductDelimiters(prodList[i].specialIssueTitle));
}
if (prodList[i].specialIssueNumber) {
merch.push('evar131=' + this.stripProductDelimiters(prodList[i].specialIssueNumber));
}
if (prodList[i].referenceModuleTitle) {
merch.push('evar139=' + this.stripProductDelimiters(prodList[i].referenceModuleTitle));
}
if (prodList[i].referenceModuleISBN) {
merch.push('evar140=' + this.stripProductDelimiters(prodList[i].referenceModuleISBN));
}
if (prodList[i].volumeTitle) {
merch.push('evar132=' + this.stripProductDelimiters(prodList[i].volumeTitle));
}
if (prodList[i].publicationSection) {
merch.push('evar133=' + this.stripProductDelimiters(prodList[i].publicationSection));
}
if (prodList[i].publicationSpecialty) {
merch.push('evar134=' + this.stripProductDelimiters(prodList[i].publicationSpecialty));
}
if (prodList[i].issn) {
merch.push('evar135=' + this.stripProductDelimiters(prodList[i].issn));
}
if (prodList[i].id2) {
merch.push('evar159=' + this.stripProductDelimiters(prodList[i].id2));
}
if (prodList[i].id3) {
merch.push('evar160=' + this.stripProductDelimiters(prodList[i].id3));
}
if (prodList[i].provider) {
merch.push('evar164=' + this.stripProductDelimiters(prodList[i].provider));
}
if (prodList[i].citationStyle) {
merch.push('evar170=' + this.stripProductDelimiters(prodList[i].citationStyle));
}
var biblio = this.getBibliographicInfo(prodList[i]);
if (biblio) {
merch.push('evar28=' + biblio);
}
if (prodList[i].turnawayId) {
pageData.eventList.push('product turnaway');
}
var price = prodList[i].price || '', qty = prodList[i].quantity || '', evts = [];
if (price && qty) {
qty = parseInt(qty || '1');
price = parseFloat(price || '0');
price = (price * qty).toFixed(2);
if (window.eventData && eventData.eventName && eventData.eventName == 'cartAdd') {
evts.push('event20=' + price);
}
}
// evt now comes from pageData.page.aaEvt (stamped at the true dispatch
// point in trackPageLoad()/trackEvent()), not window.eventData.eventName —
// the latter can already belong to a different, interleaved dispatch
// (e.g. ctaImpression) by the time this runs. See AA-4565.
var type = window.pageData && pageData.page && pageData.page.type ? pageData.page.type : '',
evt = window.pageData && pageData.page && pageData.page.aaEvt ? pageData.page.aaEvt : '';
var isContentView = type.match(/^CP\-/gi) !== null && (!evt || evt == 'newPage' || evt == 'contentView');
var isContentDownload = evt == 'contentDownload' || type.match(/^CP\-DL/gi) !== null;
if (isContentView) { evts.push('event181=1'); }
if (isContentDownload) { evts.push('event182=1'); }
// --- SD Full Text Article (AA-4565) ---
// Based purely on content-type here — whether this actually counts
// (i.e. whether event5/event19 fired for this hit) is gated later in
// analytics.js doPlugins(), against the already-finalized s.events list.
if (contentType20.indexOf('sd:article:') > -1 &&
contentType20.indexOf(':scope-full') > -1) {
evts.push('event367=1'); // SD FTA (total)
}
if (evt == 'contentDownloadRequest') {
evts.push('event319=1');
}
if (evt == 'contentExport') {
evts.push('event184=1');
}
if (this.eventFires('recommendationViews')) {
evts.push('event264=1');
}
if(prodList[i].datapoints) {
evts.push('event239=' + prodList[i].datapoints);
}
if(prodList[i].documents) {
evts.push('event240=' + prodList[i].documents);
}
if(prodList[i].size) {
evts.push('event335=' + prodList[i].size);
evts.push('event336=1')
}
if(evt == 'genAIContentUpdated') {
evts.push('event51=1');
}
prods.push([
'' // empty category
,prodList[i].id // id
,qty // qty
,price // price
,evts.join('|') // events
,merch.join('|') // merchandising eVars
].join(';'));
}
}
}
return prods.join(',');
}
,eventFires: function(eventName) {
var evt = window.eventData && eventData.eventName ? eventData.eventName : '';
if(evt == eventName) {
return true;
}
// initial pageload and new pages
if((!window.eventData || evt == 'newPage') && window.pageData && window.pageData.trackEvents) {
var tEvents = window.pageData.trackEvents;
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