Knowledge Management: Why Learning from the Past Is Not Enough!

2005 ◽  
pp. 21-53 ◽  
Author(s):  
Rogério dePaula ◽  
Gerhard Fischer
Keyword(s):  
Knowledge Management ◽  
The Past

How and why Organisations Use Social Media: Five Use Types and their Relation to Absorptive Capacity

2017 ◽  
Vol 32 (2) ◽  
pp. 194-209 ◽  
Author(s):  
Daniel Schlagwein ◽  
Monica Hu
Keyword(s):  
Social Media ◽  
Knowledge Management ◽  
Absorptive Capacity ◽  
Media Use ◽  
Social Media Use ◽  
The Past ◽  
Key Informant ◽  
Use Of Social Media ◽  
Trade Press ◽  
Consulting Companies

In this paper, we examine the relation between social media use and the absorptive capacity of organisations. Over the past 10 years, many organisations have systematically adopted social media. Trade press and consulting companies often claim that the systematic use of social media increases the performance of organisations. However, such claims are typically neither empirically grounded nor theoretically examined. In this paper, based on key informant interviews at 20 organisations, we examine these claims empirically and theoretically. Firstly, we examine the ways in which social media are used by organisations. We identify five different social media use types that support different organisational purposes (broadcast, dialogue, collaboration, knowledge management and sociability). Secondly, we analyse how these five social media use types relate to organisations' absorptive capacity. We find that particular social media use types (e.g., dialogue) support organisations' absorptive capacity and, ultimately, their performance although others (e.g., sociability) do not.

Bibliometric analysis of the VINE Journal of Information and Knowledge Management Systems: 2000–2020

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md Anwarul Islam ◽  
Gunilla Widen
Keyword(s):  
Knowledge Management ◽  
Bibliometric Analysis ◽  
Research Collaboration ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Science Mapping ◽  
Content Type ◽  
The Past ◽  
Mapping Analysis ◽  
Information And Knowledge Management

Purpose VINE Journal of Information and Knowledge Management Systems (VJIKMS) is one of the oldest and leading journals in the knowledge management (KM) field. The purpose of this study is to conduct bibliometrics analysis of publications published in VJIKMS for the past two decades. For doing this, this paper covered the past two decades of publications and carried out a science mapping analysis of publications. Design/methodology/approach The methodology included bibliometrics and the science mapping analysis process. This paper imported the bibliographic information of VJIKMS from the abstract and citation database Scopus. Through bibliometrics method, this paper examined the citation results, author productivity, authorship pattern, research collaboration and other parameters of the selected publications. Afterward, this paper used VOSviewer software to carry out the science mapping of bibliometric networks. Findings The findings showed that VJIKMS published 718 publications during 2000–2020, which got cited 4,311 times (6 times per article) till date. Joint authorship and international collaboration have been increasing where 1,417 authors from 66 countries have published. The USA, the UK and Iran lead the KM publications in this journal. Nonaka’s publications and Journal of Knowledge Management (JKM) are highly cited references and journals in the VJIKMS. Research limitations/implications The findings of this study would help the KM students, researchers and practitioners to see the diffusion of KM globally, what are the promising areas to work and helps to know the various patterns of publications if they aim to publish in VJIKMS. Originality/value This is the first time a bibliometric analysis has been conducted to analysis of research publications published in VJIKMS. This presents a comprehensive analysis of publications between 2000 and 2020.

Big Data, Knowledge, and Business Intelligence

2018 ◽  
pp. 943-950
Author(s):  
G. Scott Erickson ◽  
Helen N. Rothberg
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Competitive Advantage ◽  
Intellectual Capital ◽  
Business Intelligence ◽  
Competitive Intelligence ◽  
Business Analytics ◽  
The Past ◽  
The People ◽  
Tools And Techniques

Knowledge management (KM), intellectual capital (IC), and competitive intelligence are distinct yet related fields that have endured and grown over the past two decades. KM and IC have always differentiated between the terms and concepts of data, information, knowledge, and wisdom/intelligence, suggesting value only comes from the more developed end of the range (knowledge and intelligence). But the advent of big data/business analytics has created new interest in the potential of data and information, by themselves, to create competitive advantage. This new attention provides opportunities for some exchange with more established theory. Big data gives direction for reinvigorating the more mature fields, providing new sources of inputs and new potential for analysis and use. Alternatively, big data/business analytics applications will undoubtedly run into common questions from KM/IC on appropriate tools and techniques for different environments, the best methods for handling the people issues of system adoption and use, and data/intelligence security.

Knowledge Management and Its Approaches

2017 ◽  
pp. 1-24
Author(s):  
Anikó Balogh
Keyword(s):  
Knowledge Management ◽  
International Development ◽  
Successful Management ◽  
The Past ◽  
Knowledge Intensive

This chapter briefly covers the basics and definitions of knowledge and knowledge management, the connection between KM and communication, its Hungarian and international development and tendencies in the past years and the so called KM generations. The chapter's goal is to show how and why the support and appreciation of knowledge (which almost exists since the beginning of humankind) developed into a system. Successful management of companies using KM systems bring to the surface a new breed of organization operating models operating with intelligent solutions, which are manifold, may be structured in a variable way, and are specifically unique in the light of these knowledge-intensive services.

Creating and Delivering a Successful Knowledge Management Strategy

2010 ◽  
pp. 261-276 ◽  
Author(s):  
Jiming Wu ◽  
Hongwei Du ◽  
Xun Li ◽  
Pengtao Li
Keyword(s):  
Knowledge Management ◽  
Organizational Learning ◽  
Competitive Advantage ◽  
Management Strategy ◽  
Management Support ◽  
Knowledge Management Strategy ◽  
Top Management Support ◽  
The Past ◽  
Km Strategy ◽  
Key Driver

Over the past decade, the rapid proliferation of knowledge management (KM) has been one of the most striking developments in business. Viewing KM as a key driver of competitive advantage, we attempt to provide managers with important guidance on how to create and deliver a successful KM strategy. Specifically, we develop a framework of three factors that are vital to KM success: top management support, a culture of organizational learning, and effective measures of KM performance. To offer a better understanding of the factors, their multiple facets are further investigated and discussed.

A Re-Examination and Re-Specification of the Jennex Olfman Knowledge Management Success Model

2020 ◽  
pp. 1-29
Author(s):  
Murray Eugene Jennex
Keyword(s):  
Knowledge Management ◽  
Organizational Structure ◽  
Technology Innovation ◽  
The Past ◽  
Success Model ◽  
Technology Changes

The Jennex and Olfman KM success model was first published at HICSS in 2004 and in the International Journal of Knowledge Management in 2006. Additionally, it was independently verified by Kundapur and Rodrigues, Srivastava and Joshi, and Wang and Yang. Since then there has been many technology changes and innovations as well as further research on KM success. This chapter re-examines the Jennex Olfman model and suggests a newer model that incorporates the past 10 years of research, innovation in organizational structure, and technology innovation.

scholarly journals Advancing scholarly publishing through open access biomedical repositories: A knowledge management perspective

IFLA Journal ◽  
2019 ◽  
Vol 45 (3) ◽  
pp. 233-245 ◽  
Author(s):  
Lisa Kruesi ◽  
Kerry Tanner ◽  
Frada Burstein
Keyword(s):  
Knowledge Management ◽  
Open Access ◽  
Role Model ◽  
Research Output ◽  
Research Data ◽  
Scholarly Publishing ◽  
Pubmed Central ◽  
The Past ◽  
Management Perspective ◽  
The Us

Scholarly publishing has undergone major changes over the past 50 years. Funder mandates and organisational reporting obligations have heralded the creation of open access repositories, such as institutional and subject repositories. This research draws upon the US PubMed Central (PMC) and Europe PMC, also known as PMC International, as a role model to inform the concept and opportunity for an Australasia open access biomedical repository. PMC International is a leader in making citations and research output, which link to research data, Findable, Accessible, Interoperable and Reusable (FAIR). As repositories approach two decades of development, this paper reports on the potential for an Australasia open access biomedical repository through a knowledge management lens and explores the opportunities for future open access biomedical repositories.

How Knowledge Management Enhances Employee Performance in the Public Sector

2019 ◽  
Author(s):  
Ali Mahmoud ◽  
Karina Delrosario ◽  
William Reisel ◽  
Dieu Hack-polay
Keyword(s):  
Knowledge Management ◽  
Public Sector ◽  
Employee Performance ◽  
Middle Management ◽  
Technical Training ◽  
Graduate Degree ◽  
The Public ◽  
The Past ◽  
Total Percentage

<p>The sample accounted for a total of 173 respondents. There were twenty-six (26) departments that responded to the study. The majority of the respondents were in the job ranks of Senior and Middle Management, combing a percentage total of six-one percent (61%) and forty-three percent (43%) held a graduate degree/diploma. There was only a six percent (6%) of the respondents that have a Technical Training/Diploma. The majority of the respondents responded that they had received no promotion over the past three years. There was only a thirty-nine percent (39%) of respondents that received one promotion over the past three years. Thirty percent (30%) of the respondents received four (4) training, a contrast to the thirteen percent (13%) that received no training. The majority of the respondents, representing a total percentage, seventy-eight percent (78%) of respondents has been in the service between zero to ten years. </p>

The Application of Data-Mining to Recommender Systems

2011 ◽  
pp. 45-50 ◽  
Author(s):  
J. Ben Schafer
Keyword(s):  
Data Mining ◽  
Knowledge Management ◽  
Electronic Commerce ◽  
Recommender Systems ◽  
Digital Libraries ◽  
Buying Behavior ◽  
Data Mining Techniques ◽  
The Past ◽  
A Site ◽  
Product Description

In a world where the number of choices can be overwhelming, recommender systems help users find and evaluate items of interest. They connect users with items to “consume” (purchase, view, listen to, etc.) by associating the content of recommended items or the opinions of other individuals with the consuming user’s actions or opinions. Such systems have become powerful tools in domains from electronic commerce to digital libraries and knowledge management. For example, a consumer of just about any major online retailer who expresses an interest in an item – either through viewing a product description or by placing the item in his “shopping cart” – will likely receive recommendations for additional products. These products can be recommended based on the top overall sellers on a site, on the demographics of the consumer, or on an analysis of the past buying behavior of the consumer as a prediction for future buying behavior. This paper will address the technology used to generate recommendations, focusing on the application of data mining techniques.

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