A taxonomy and proposed codification of knowledge and knowledge systems in organizations

Geisler, Eliezer

doi:10.1002/kpm.265

Cited by 14 publications

(10 citation statements)

References 43 publications

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“…In the latter instance, web servers can combine content from various sources to create new content. Digital content is usually stored in repositories and knowledge bases, web, or file servers (Geisler, ) and needs to be stored and classified systematically to be of use to individuals and teams in the broader organizational context (Asprey & Middleton, ; Lynch, ; Selwyn, ). Research has shown that digital content creation is at the heart of knowledge management and that valuable content (a) facilitates learning and knowledge transfer, and (b) counteracts the loss of valuable organizational knowledge (Bosua & Venkitachalam, ).…”

Section: Background Of Content Managementmentioning

confidence: 99%

“…From an infrastructure aspect, it is essential to consider the adoption and use of appropriate technologies/platforms for digital content classification. This calls first for proper content categorization of large amounts of digital organizational content or codified knowledge (i.e., Exhibit 2 highlights categorization) (Geisler, ). Secondly, robust integration of different content management technologies that are adopted and mechanisms that drive the development of training programs pertaining to the use of these new technologies in organizations.…”

Section: Final Conclusionmentioning

confidence: 99%

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Perspectives on effective digital content management in organizations

Venkitachalam

Bosua

2019

Knowl Process Manag

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Modern corporations face enormous digital transformation challenges in order to incorporate digital content into its corporate memory. At the same time over the last decade and a half, there is growing evidence of the advent of different types of mechanisms to manage digital organizational content. The management of digital content is particularly important to support knowledge worker practices to access, share, and reuse content in knowledge intensive organizations. Despite the availability of technological solutions in the marketplace to integrate content, managers are often overwhelmed by the choices they need to make to effectively manage digital content in their organizations. Extant literature indicates that in an increasingly digitized world, there is no clear understanding of the digital content considerations for informed decision making in organizations. Based on our research experiences in knowledge management, particularly knowledge codification in digital infrastructures, we provide certain perspectives on the four considerations for effective management of digital content in large organizations. We present four short exhibits to illustrate these four core considerations, which we label as the "4Cs" (i.e., content contribution, categorization, control, and centralization) for effective digital content management in large organizations.

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Section: Background Of Content Managementmentioning

confidence: 99%

Section: Final Conclusionmentioning

confidence: 99%

Perspectives on effective digital content management in organizations

Venkitachalam

Bosua

2019

Knowl Process Manag

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“…From its origins in the classification of living things, the idea of taxonomy now has universal applications in grouping knowledge so that it can be systematically developed, stored and re-used. In the information sciences, the study of corporate taxonomies has been a subject of considerable and longstanding interest among both researchers (Cheung et al 2005;Geisler 2006;Gruber 1993;Noy and McGuinness 2001;Saeeh and Chaudhry 2002) as well as practitioners (Conway and Sligar 2002;Delphi 2002;Ernst & Young;Gilchrist and Kibby, 2000;Gilchrist 2001;Greif 2001;Lehman 2003;Pepper 2000;Potter 2001;Woods 2004).…”

Section: Principles Of Corporate Taxonomiesmentioning

confidence: 99%

Developing Corporate Taxonomies for Knowledge Auditability: A Framework for Good Practices

Sharma¹,

Foo²,

Morales-Arroyo³

2008

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The organisation of knowledge for exploitation and re-use in the modern enterprise is often a most perplexing challenge. The entire knowledge management life-cycle (for example-create, capture, organize, store, search, and transfer) is impacted by the organisation of intellectual capital into a corporate taxonomy or at the least a knowledge map (often incorrectly used interchangeably). Determining the extent to which such an objective is achieved is the focus of what is known as a knowledge audit. In this practice-oriented article, the authors review the fundamentals of creating a taxonomy, the use of meta-data in a necessary process known as classification and the role of expertise locators where the knowledge is not explicit but resides within experts in the form of tacit knowledge. The authors conclude with a framework for developing a corporate taxonomy and how such a project may be executed. The conceptual contribution of this article is the postulation that corporate tqaxonomies that are designed to facilitate knowledge audits lead to greater organizational impact.

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“…In the continuation of above bloom taxonomy, bloom's digital taxonomy was developed in which domain of learning are further elaborated as low order thinking skill and high order thinking skill (Churches 2012). Taxonomy was applied in knowledge and knowledge system in organization where taxonomy was based on four criteria namely structure (how knowledge is designed and what it contain), purpose (what is knowledge for), function (what the knowledge does) and disciplinary content (Geisler 2006). Taxonomy development for knowledge management was also described in seven steps which include define requirements, identify concepts, develop draft taxonomy, review with user and SMEs (Subject Matter Experts), refine taxonomy, apply taxonomy to content and finally manage and maintain taxonomy (Whittaker and Breininger 2008).…”

Section: Literature Reviewmentioning

confidence: 99%

“…As well as identifying similarities and differences among repair processes, helps in clear understanding of repair field to overcome confusion and difficulties in exploring (Bolden et al 1997). Repair processes coding as well as exploration of knowledge domains can be easily done (Geisler 2006). Taxonomies are very costly to maintain in contrary to value when it is detailed at large (Whittaker and Breininger 2008).…”

Section: Introductionmentioning

confidence: 99%