Knowledge Markets: More Than Providers and Users
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Knowledge Markets: Cooperation Among Distributed Technical Specialists
Knowledge Markets: Cooperation Among Distributed Technical Specialists Steve Sawyer, [email protected] Kristin Eschenfelder, [email protected] Robert Heckman, [email protected] Syracuse University School of Information Studies Syracuse New York, 13244 a slightly modified version of this paper appears as: Sawyer, S., Eschenfelder, K. and Heckman, R. (2000), “Knowledge Markets: Cooperation Among Distributed Technical Specialists,” in Srikantiah, K. and Koenig, M. (Eds.) Knowledge Management for Information Professionals, Medford, NJ: Information Today, pp. 181-204. v. 4.1 as of 30 October, 1998 KEYWORDS: Knowledge Management; Knowledge Markets; Distributed Computing; Work Cultures; Social Exchange Theory; Technical Support Specialists 1 Knowledge Markets: Cooperation Among Distributed Technical Specialists Abstract Knowledge management issues are highlighted when organizational functions are decentralized. For example, distributed computing environments place more computer power in the hands of the end-user, and often demand increased technical support. In response, organizations may choose to move technical support personnel close to end- users. This can isolate them from each other, and may limit their ability to share knowledge. Thus, the growth of distributed computing calls for an increased ability to share knowledge across organizational boundaries. In that context, this paper presents the results of a case study investigating the roles of knowledge markets among distributed technologists. Our perspective is that knowledge markets are cultural entities shaped by the underlying work culture of their participants, and that the cultural forces that define knowledge markets are powerful, deeply held and difficult to change. Thus, improving the effectiveness of any given knowledge market will have less to do with the installation of information technology than with the ability to create a facilitating work culture. -
Visualizing the Academic Discipline of Knowledge Management
sustainability Article Visualizing the Academic Discipline of Knowledge Management Peng Wang 1 ID , Fang-Wei Zhu 1,*, Hao-Yang Song 1, Jian-Hua Hou 2 and Jin-Lan Zhang 1 1 Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China; [email protected] (P.W.); [email protected] (H.-Y.S.); [email protected] (J.-L.Z.) 2 Research Center of Science Technology and Society, Dalian University, Dalian 116622, China; [email protected] * Correspondence: [email protected]; Tel.: +86-411-8470-7746 Received: 29 December 2017; Accepted: 18 February 2018; Published: 2 March 2018 Abstract: The aim of this paper was to evaluate the research status of knowledge management (KM) and identify the characteristics of KM in the literature. We selected and studied in detail 7628 original research articles from the Web of Science from 1974 to 2017. Although many studies have contributed to the evolution of the KM domain, our results showed that a comprehensive bibliometric and visualization investigation was required. The literature on KM has grown rapidly since the 1970s. The United States of America, as the original contributing country, has also internationally collaborated the most in this field of study. The National Cheng Kung University has made the highest number of contributions. The majority of authors contributed a small number of publications. Additionally, the most common category in KM research was management. The main publications for KM research include Journal of Knowledge Management, and Knowledge Management Research & Practice. A keywords analysis determined that “knowledge sharing”, “innovation”, “ontology”, and “knowledge management” were consistent hotspots in knowledge management research. -
Creating Knowledge Landscapes a Service Oriented Approach to the Implementation of Knowledge Management in the Aviation Industry
Creating Knowledge Landscapes A Service Oriented Approach to the Implementation of Knowledge Management in the Aviation Industry Inaugural-Dissertation submitted for the degree of Doctor of Philosophy (Dr. phil.) to the Faculty of Philosophy, Heinrich-Heine University Düsseldorf by Sascha Rohmen from Düsseldorf, Germany Supervisor: Prof. Wolfgang Stock Düsseldorf, April 2019 D61 I Index Index List of Figures IV List of Tables VI Preface VII Acknowledgements IX 1 Introduction 1 2 Data, Information and Knowledge 12 2.1 Individual Knowledge vs. Collective Knowledge 17 2.2 Explicit Knowledge vs. Implicit Knowledge 17 3 Knowledge Management - Models and Strategies 21 3.1 Managing Knowledge 21 3.2 Knowledge Management Models 24 3.2.1 TOM-Model 25 3.2.2 TIMO-Model 27 3.2.3 Building Blocks of Knowledge Management 27 3.2.4 Harnessing Implicit Knowledge 32 3.2.5 Other Concepts 37 3.3 Knowledge Management Strategies 38 3.3.1 Codification Strategy 40 3.3.2 Personalization Strategy 42 3.3.3 Socialization Strategy 43 3.3.4 Process Oriented Knowledge Management 43 3.3.5 Reasons for a Process Oriented IT Organization 52 3.4 Learning Organization 53 4 Knowledge Management Tools 55 4.1 Involving the Employees – Determination of Information Needs 56 4.2 Supporting Tools and Concepts 71 II Index 4.2.1 Project Management 71 4.2.2 Change Management 77 4.3 Technical Knowledge Management Tools 83 4.3.1 Document Management Systems 84 4.3.2 Content Management Systems 87 4.3.3 Portals and Intranet 88 4.3.4 Knowledge Maps 90 4.3.5 Learning Management Systems 93 -
Knowledge Market 5.1 a Knowledge Market Is a Mechanism For
Page 1 of 6 Knowledge market 5.1 A knowledge market is a mechanism for distributing knowledge resources. There are two views on knowledge and how knowledge markets can function. One view uses a legal construct of intellectual property to make knowledge a typical scarce resource, so the traditional commodity market mechanism can be applied directly to distribute it. An alternative model is based on treating knowledge as a public good and hence encouraging free sharing of knowledge. This is often referred to as attention economy. Currently there is no consensus among researchers on relative merits of these two approaches. History A knowledge economy include the concept of exchanging knowledge-based products and services. However, as discussed by Stewart (1996) knowledge is very different from physical products. For example, it can be in more than one place at one time, selling it does not diminish the supply, buyers only purchase it once, and once sold, it cannot be recalled. Further, knowledge begets more knowledge in a never-ending cycle. Understanding of knowledge markets is beginning to emerge. As would be expected, they are very different in form from traditional markets. Knowledge markets have been variously described by Stewart (1996) and Simard (2000) as a mechanism for enabling, supporting, and facilitating the mobilization, sharing, or exchange of information and knowledge among providers and users. This transactional approach assumes that knowledge-based products or services are available for distribution, that someone wants to use them, and that the primary focus of the market is to connect the two. This perspective is appropriate when the market has limited or no interest or control over either the production or use of the content being exchanged, as is the case for most traditional markets. -
The Knowledge Web Michael B
United States Education & Training Services Knowledge Enterprises 23 May 2000 (Reprint) Michael T. Moe, CFA Henry Blodget The Knowledge Web Michael B. Armstrong Kathleen Bailey Neil Godsey Chandy Smith Part 4: Corporate e-Learning – Feeding Hungry Minds Thatcher Thompson Scott Wilson Highlights: $300 Billion Market Catalyzed by the Internet Continuous Learning Required by the New Economy is Driving Huge and Rapidly Growing Market Merrill Lynch & Co. Global Securities Research & Economics Group Global Fundamental Equity Research Department RC#60227210 The Knowledge Web – 23 May 2000 (Reprint) Knowledge Enterprises Group Michael T. Moe, CFA Director of Global Growth Research (1) 415 676-3570 [email protected] Education Services & Knowledge Enterprises Business & Employee Services Kathleen Bailey Thatcher Thompson Vice President Director (1) 415 676-3572 (1) 212 449-8787 [email protected] [email protected] Scott Wilson Chandy Smith Vice President Assistant Vice President (1) 415 676-3541 (1) 212 449-0841 [email protected] [email protected] Global Internet Research Neil Godsey Assistant Vice President (1) 415 676-3574 Henry Blodget [email protected] Senior Internet Analyst, Global Coordinator (1) 212 449-0773 Michael B. Armstrong [email protected] Industry Analyst (1) 415 676-3585 Kirsten Campbell [email protected] Assistant Vice President (1) 212 449-3113 [email protected] "Albert Einstein"™ Licensed by the Hebrew University of Jerusalem, Represented by the Roger Richman Agency, Inc., Beverly Hills, CA 90212 www.albert-einstein.net" 2 The Knowledge Web – 23 May 2000 (Reprint) Introduction to the e-Knowledge Industry The new economy moves at a pace never seen before. The new providing continuing education, employment opportunities economy is a knowledge economy based on brainpower, ideas and relevant information, will be knowledge nerve centers and entrepreneurism. -
Process Model for Knowledge Management Shekar Sivasubramanian CMU-LTI-16-003
Process Model for Knowledge Management Shekar Sivasubramanian CMU-LTI-16-003 Language Technologies Institute School of Computer Science Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA 15213 www.lti.cs.cmu.edu Thesis Committee: Dr. Eric Nyberg (Chair) Dr. Jamie Callan Dr. Robert Frederking Kiran Hosakote Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy In Language and Information Technologies © 2016, Shekar Sivasubramanian Process Model for Knowledge Management Table of Contents CHAPTER 1: INTRODUCTION .................................................................................... 1 OVERVIEW ........................................................................................................................ 1 MODELS IN KNOWLEDGE MANAGEMENT ......................................................................... 1 General Models ............................................................................................................ 1 Maturity Models ........................................................................................................... 5 Proposed Process Model for Knowledge Management ............................................. 13 CHAPTER 2: THE PROCESS MODEL ...................................................................... 23 KEY PROCESS AREAS ..................................................................................................... 23 LEVEL 2 KEY PROCESS AREAS ...................................................................................... -
Barter - Mechanism Design of a Market-Incented Wisdom Exchange for Organizations and Communities
Barter - Mechanism Design of A Market-incented Wisdom Exchange for Organizations and Communities Dawei Shen Marshall Van Alstyne Andrew Lippman Media Laboratory Center for Digital Business Media Laboratory Massachusetts Institute of Massachusetts Institute of Massachusetts Institute of Technology Technology Technology [email protected] [email protected] [email protected] ABSTRACT been promoted both by researchers in academia and by in- We are exploring the design and creation of information mar- dustry leaders in practice [2]. Firm managers often ap- kets with a goal of bringing an electronic, distributed market preciate the critical role of knowledge management systems to a community or an organization to enhance knowledge in retaining employees' knowledge, encouraging information sharing, innovation creation, and productivity. We apply sharing and innovation creation, and enhancing work pro- innovative market mechanisms to construct incentives while ductivity, usually through the usage of `Enterprise Web 2.0' still encouraging pro-social behaviors. A key advantage of platforms. However, a discouraging fact is that more than this study will be a direct appeal to information economic 70% of KMS initiatives among U.S. organizations are under- theories and market principles on information markets de- performing mainly because of the adoption problem [12]. An sign. A web-based software platform called Barter is devel- important reason for the failure is that the incentive struc- oped and deployed at several university sites. User data have ture has not been designed and constructed properly. Mem- been collected and analyzed to test the effectiveness of an bers of an organization, e.g. firm employees, lack the incen- information market and its various forces.