Examining the Varying Influence of Social and Technological Aspects on Adoption and Usage of Knowledge Management Systems

2011 ◽  
Vol 1 (1) ◽  
pp. 49-65 ◽  
Author(s):  
Andrea J. Hester
Keyword(s):  
Knowledge Management ◽  
Technology Implementation ◽  
Organizational Innovation ◽  
Diffusion Theory ◽  
Careful Consideration ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Technological Factors ◽  
Innovation Diffusion Theory ◽  
Factors Influencing

Knowledge management strives for effective capture and application of organizational knowledge, a resource imperative in sustaining organizations. To better achieve knowledge management initiatives, examination of factors influencing adoption and usage of knowledge management systems (KMS) are of great interest. Implementation of technological solutions considered organizational innovation is subject to potential problems of resistance, implying analysis of social factors equally important to technological factors. With Innovation Diffusion, Theory as a foundation, this research examines factors influencing adoption and usage of KMS. The model is extended to include Reciprocity Expectation, an important factor affecting knowledge management processes. Results indicate that some factors are important in determining adoption while others are important for continued usage. This research emphasizes careful consideration and re-evaluation of both social and technological factors throughout all stages of technology implementation; more specifically, Reciprocity Expectation may be an important factor affecting length of adoption, but insignificant in determining continued usage.

Examining the Varying Influence of Social and Technological Aspects on Adoption and Usage of Knowledge Management Systems

2013 ◽  
pp. 142-158
Author(s):  
Andrea J. Hester
Keyword(s):  
Knowledge Management ◽  
Technology Implementation ◽  
Organizational Innovation ◽  
Diffusion Theory ◽  
Careful Consideration ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Technological Factors ◽  
Innovation Diffusion Theory ◽  
Factors Influencing

Knowledge management strives for effective capture and application of organizational knowledge, a resource imperative in sustaining organizations. To better achieve knowledge management initiatives, examination of factors influencing adoption and usage of knowledge management systems (KMS) are of great interest. Implementation of technological solutions considered organizational innovation is subject to potential problems of resistance, implying analysis of social factors equally important to technological factors. With Innovation Diffusion Theory as a foundation, this research examines factors influencing adoption and usage of KMS. The model is extended to include Reciprocity Expectation, an important factor affecting knowledge management processes. Results indicate that some factors are important in determining adoption while others are important for continued usage. This research emphasizes careful consideration and re-evaluation of both social and technological factors throughout all stages of technology implementation; more specifically, Reciprocity Expectation may be an important factor affecting length of adoption, but insignificant in determining continued usage.

Distributed ‘Knowing in Practice' Enabled by Knowledge Management Systems

2017 ◽  
Vol 13 (4) ◽  
pp. 56-72
Author(s):  
Lakshmi Goel
Keyword(s):  
Knowledge Management ◽  
Qualitative Case Study ◽  
Knowledge Management System ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Distributed Work ◽  
Technological Factors ◽  
Geographically Dispersed ◽  
Set Up

Many companies set up operations offshore and complete projects by ‘worksharing' where responsibilities are split between geographically dispersed offices. This article looks at how knowledge management systems facilitate practices essential for collaborative, distributed work. A qualitative case study is conducted at a large multinational engineering, procurement and construction (EPC) company that has successfully implemented a knowledge management system. The study uses the framework of ‘knowing in practice' to the context of worksharing. This article contributes to the practice by providing specific suggestions that can be implemented from a social technical perspective to facilitate worksharing. Specifically, suggesting technological factors, and efforts needed by users and managers, in facilitating worksharing. This article contributes to research by applying the lens of ‘knowing in practice' to the context of worksharing.

The Moderated Mediation of Behavioral Intention on Knowledge Management Systems

2021 ◽  
Vol 13 (1) ◽  
pp. 101-120
Author(s):  
Iman Akour ◽  
Azza Obayssi ◽  
Mohamed Albaity ◽  
Yaser Zeidan
Keyword(s):  
Knowledge Management ◽  
United Arab Emirates ◽  
Behavioral Intention ◽  
Mediating Effect ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Performance Expectancy ◽  
Factors Influencing ◽  
Facilitating Conditions ◽  
Relevant Factors

Systems that support knowledge management systems (KMS) practices can add significant value. However, merely having a KMS may not necessarily guarantee success for KMS projects. Capturing valuable organizational knowledge in KMS remains an issue. Thus, new solutions that can increase meaningful use of KMS must be investigated. This study aims at examining the direct and indirect link between performance expectancy (PE), facilitating conditions (FC), and social influence (SI) and the use of KMS through behavioral intention (BI) in United Arab Emirates (UAE) companies. In addition, the study aims to investigate the moderated effect of gender on the indirect link between KMS and all the variables. Data of 162 was collected from individuals of different companies in UAE. The results suggest that FC and BI positively and significantly influence KMS. On the mediating effect, BI mediates the link between PE and FC. Lastly, females appear to score higher in PE and FC. The study provides evidence that FC and BI are relevant factors influencing KMS in enterprises in the UAE.

Social Influence and Knowledge Management Systems Use: Evidence from Panel Data

MIS Quarterly ◽  
2013 ◽  
Vol 37 (1) ◽  
pp. 299-313 ◽  
Author(s):  
Yinglei Wang ◽  
◽  
Darren B. Meister ◽  
Peter H. Gray ◽  
◽  
...  
Keyword(s):  
Knowledge Management ◽  
Panel Data ◽  
Social Influence ◽  
Management Systems ◽  
Knowledge Management Systems

Utilizing a systematic literature review to develop an integrated framework for information and knowledge management systems

2017 ◽  
Vol 47 (2) ◽  
pp. 250-264 ◽  
Author(s):  
Chulatep Senivongse ◽  
Alex Bennet ◽  
Stefania Mariano
Keyword(s):  
Knowledge Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Value Added ◽  
Specific Area ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Content Type ◽  
Integrated Framework ◽  
Information And Knowledge Management

Purpose The purpose of this paper is to demonstrate the value of using a systematic literature review to develop an integrated framework for information and knowledge management systems. Design/methodology/approach First, the systematic literature review method is introduced, differentiating it from traditional literature reviews in terms of value-added and limitations. Second, this methodology is used in a research application focused on absorptive capacity internal capabilities with regard to the processes of acquisition, assimilation, transformation and exploitation. Third, an integrated framework for information and knowledge management systems is developed from this application. Findings The systematic literature review approach provides a rigor that can assist in reducing researcher bias while simultaneously enabling the definition of a precise scope of review, with a clear explanation of selection criteria with the objective to find and review all the studies that are relevant to the search definitions. As a research method, it effectively supports a qualitative, quantitative or mixed methodology. Research limitations/implications This methodology was applied to one specific area of research. Specific limitations include the availability of articles in subscribed databases and the analytical capabilities of the tools used for text mining and analytics. Originality/value This paper demonstrates the usefulness of the systematic literature review methodology in developing an integrated framework for analysis.

Use of Knowledge Management Systems and the Impact on the Acquisition of Explicit Knowledge

2008 ◽  
Vol 22 (2) ◽  
pp. 77-101 ◽  
Author(s):  
Holli McCall ◽  
Vicky Arnold ◽  
Steve G. Sutton
Keyword(s):  
Knowledge Management ◽  
Problem Solving ◽  
Knowledge Acquisition ◽  
Reference Materials ◽  
Explicit Knowledge ◽  
Experimental Methodology ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Use Of Knowledge ◽  
The Impact

ABSTRACT: In an era where knowledge is increasingly seen as an organization's most valuable asset, many firms have implemented knowledge-management systems (KMS) in an effort to capture, store, and disseminate knowledge across the firm. Concerns have been raised, however, about the potential dependency of users on KMS and the related potential for decreases in knowledge acquisition and expertise development (Cole 1998; Alavi and Leidner 2001b; O'Leary 2002a). The purpose of this study, which is exploratory in nature, is to investigate whether using KMS embedded with explicit knowledge impacts novice decision makers' judgment performance and knowledge acquisition differently than using traditional reference materials (e.g., manuals, textbooks) to research and solve a problem. An experimental methodology is used to study the relative performance and explicit knowledge acquisition of 188 participants partitioned into two groups using either a KMS or traditional reference materials in problem solving. The study finds that KMS users outperform users of traditional reference materials when they have access to their respective systems/materials, but the users of traditional reference materials outperform KMS users when respective systems/materials are removed. While all users improve interpretive problem solving and encoding of definitions and rules, there are significant differences in knowledge acquisition between the two groups.

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