scholarly journals Employees’ acceptance of knowledge management systems and its impact on creating learning organizations

Many organizations are eager to become learning organizations that are known to contribute to increased financial performance, innovation, and the retention of workers who possess valuable organizational knowledge. For this reason, knowledge management systems (KMSs) in reality have been utilized as a means to foster the development of learning organizations. However, it remains questionable as to whether or not KMSs have any impact on the creation of learning organizations. Therefore, this study is designed to address this deficit and build a foundation for future research. Situated in theoretical frameworks pertinent to learning organizations and technology acceptance, a total of 327 datasets collected from three South Korean companies revealed that employees’ technology acceptances of KMSs could influence the creation of learning organizations in the workplaces of South Korea. The results showed that using KMSs influenced the development of learning organizations. To maximize the utilization of KMSs, the change management process should not be overlooked before and after the integration of technology.

2010 ◽  
pp. 2226-2252
Author(s):  
Robin S. Poston ◽  
Cheri Speier

To solve complicated problems, people often seek input from others. Knowledge management systems (KMSs) provide help in this activity by offering a computer-mediated approach to information sharing. However, if the KMS contains content that is obsolete or incomplete, those using the system may expend greater amounts of effort to detect what content is worthwhile or they risk relying on poor inputs, which may lead to less accurate solutions to their problems. As a result, most KMSs include rating schemes as part of the user interface designed to help those using the system identify high-quality content. Rating schemes depend on current users rating the quality of the existing content, guiding subsequent users in future content searches. If specific ratings are low in validity, then they may not reflect the true content quality (unintentionally or intentionally). This chapter provides a robust summary of the KMS literature and draws on the effort-accuracy trade-off framework to offer the results of a research study. The research study examines how rating validity influences how KMS users employ their limited cognitive resources to search and evaluate KMS content, with the goal of finding and using the highest-quality content. Through an experimental design, the study described herein manipulates rating validity and content quality in a replicated KMS setting and examines how users trade off search and evaluation effort. The results of the study demonstrate that rating validity differentially influences how KMS search and evaluation effort relates to decision accuracy. The chapter concludes with a discussion of the study findings and ideas for future research.


2017 ◽  
Vol 7 (4) ◽  
pp. 32-49 ◽  
Author(s):  
Jeffrey Hsu ◽  
Gary Bronson ◽  
Zhongxian Wang

This paper presents a discussion and in-depth exploration of using Wikis for providing support to, and for the effective maintenance of, knowledge management systems. Specific issues, considerations, and relevant areas for which Wikis can be most effective are addressed. This includes identifying both strengths and weaknesses of Wikis as they apply to the various types of knowledge management requirements, including information capture, retention, dissemination, updating, and security concerns. A conceptual and research framework of the major impacts, challenges, and issues is also presented, as well as areas for future research.


2011 ◽  
pp. 3409-3420 ◽  
Author(s):  
A. Kankanhalli ◽  
B. C.Y. Tan

Metrics are essential for the advancement of research and practice in an area. In knowledge management (KM), the process of measurement and development of metrics is made complex by the intangible nature of the knowledge asset. Further, the lack of standards for KM business metrics and the relative infancy of research on KM metrics points to a need for research in this area. This article reviews KM metrics for research and practice, and identifies areas where there is a gap in our understanding. It classifies existing research based on the units of evaluation such as user of knowledge management systems (KMS), KMS project, KM process, KM initiative, and organization as a whole. The article concludes by suggesting avenues for future research on KM and KMS metrics based on the gaps identified.


2008 ◽  
pp. 351-373
Author(s):  
Jun Xu ◽  
Mohammed Quaddus

This article develops a model of adoption and continued use of knowledge management systems (KMSs), which is primarily built on Rogers’ (1995) innovation stages model along with two very important social psychology theories—Ajzen and Fishbein’s (1980) theory of reasoned action (TRA) and Davis’s (1986) technology acceptance model (TAM). It presents various factors and variables in detail. Hypotheses are developed which can be tested via empirical study. The proposed model has both theoretical and practical implications. It can be adapted for application in various organizations in national and international arena.


Many organizations have implemented knowledge management systems to support knowledge management. However, many of such systems have failed due to the lack of relationship networks and IT capability within organizations. Motivated by such concerns, this paper examines the factors that may facilitate the success of knowledge management systems. The ten constructs derived from social capital theory, resource-based view and IS success model are integrated into the current research model. Twenty-one hypotheses derived from the research model are empirically validated using a field survey of KMS users. The results suggest that social capital and organizational IT capability are important preconditions of the success of knowledge management systems. Among the posited relationships, trust, social interaction ties, IT capability do not significantly impact service quality, system quality and IT capability, respectively. Against prior expectation, service quality and knowledge quality do not significantly influence perceived KMS benefits and user satisfaction, respectively. Discussion of the results and conclusion are provided. This study then provides insights for future research avenue.


Author(s):  
Murray E. Jennex ◽  
Murali Raman

Most organizations face difficult challenges in managing knowledge for crisis response, but it is crucial for response effectiveness that such challenges be overcome. Organizational members must share the knowledge needed to plan for emergencies. They also must be able during an emergency to access relevant plans and communicate about their responses to it. This article examines the role and relevance of knowledge management (and knowledge management systems therein) in support of crisis response. We begin by discussing what knowledge management and crisis response mean. We move on to suggest why crisis response efforts within an organizational context, might benefit from knowledge management initiatives. Specific examples of how knowledge management efforts have supported crisis response in the past are then presented. We end by offering researchers with some suggestions for future research work in light of this subject domain.


Author(s):  
Robin S. Poston ◽  
Cheri Speier

To solve complicated problems, people often seek input from others. Knowledge management systems (KMSs) provide help in this activity by offering a computer-mediated approach to information sharing. However, if the KMS contains content that is obsolete or incomplete, those using the system may expend greater amounts of effort to detect what content is worthwhile or they risk relying on poor inputs, which may lead to less accurate solutions to their problems. As a result, most KMSs include rating schemes as part of the user interface designed to help those using the system identify high-quality content. Rating schemes depend on current users rating the quality of the existing content, guiding subsequent users in future content searches. If specific ratings are low in validity, then they may not reflect the true content quality (unintentionally or intentionally). This chapter provides a robust summary of the KMS literature and draws on the effort-accuracy trade-off framework to offer the results of a research study. The research study examines how rating validity influences how KMS users employ their limited cognitive resources to search and evaluate KMS content, with the goal of finding and using the highest-quality content. Through an experimental design, the study described herein manipulates rating validity and content quality in a replicated KMS setting and examines how users trade off search and evaluation effort. The results of the study demonstrate that rating validity differentially influences how KMS search and evaluation effort relates to decision accuracy. The chapter concludes with a discussion of the study findings and ideas for future research.


Author(s):  
Jun Xu ◽  
Mohammed Quaddus

This chapter develops a model of adoption and continued use of knowledge management systems (KMSs), which is primarily built on Rogers’ (1995) innovation stages model along with two very important social psychology theories—Ajzen and Fishbein’s (1980) theory of reasoned action (TRA) and Davis’s (1986) technology acceptance model (TAM). It presents various factors and variables in detail. Hypotheses are developed which can be tested via empirical study. The proposed model has both theoretical and practical implications. It can be adapted for application in various organizations in national and international arena.


Author(s):  
Jeffrey Treem

In recent years, organizations have greatly increased their use of communication technologies to support knowledge management initiatives. These technologies, commonly referred to as knowledge management systems, are adopted in the hope that they will bolster organizations’ access to, and utilization of, knowledge resources. Yet the relationship between communication technology and knowledge management is complicated by ambiguity regarding whether knowledge can be validly captured, stored, and transmitted in an explicit form (as an object) or only exists in applications (as an action). Many scholars argue that reliance on communication technologies for knowledge management aids the ability of organizations to process information, but it has limited benefits for helping individuals gain situated knowledge regarding how best to accomplish work. An alternative view explores the potential of communication technologies to facilitate interaction among knowledgeable actors, which can support ongoing organizational learning. In practice, the use of communication technologies enacts a duality whereby knowledge operates both as an object that organizations and individuals have, and as an applied action that is used to solve situated problems. Numerous theoretical frameworks have been applied to study the relationship between communication technologies and knowledge management, with three of the most prominent being public goods theory, communities of practice, and transactive memory systems theory. Extant research recognizes the diverse ways that communication technologies can support knowledge management practices aimed at either improving the utilization of information in organizations or bolstering opportunities for interpersonal knowledge sharing. Regardless of the position taken regarding the most appropriate and effective ways that communication technology can support knowledge management, organizations hoping to implement knowledge management systems face numerous challenges related to spurring the creation of organizational knowledge, motivating individuals to share knowledge, transferring knowledge among groups, and storing knowledge to allow future retrieval. Furthermore, the breadth and diversity of communication technologies used for knowledge management will continue to expand as organizations explore the potential applications of social media technologies and seek to gain value from increases in available data regarding individuals’ communication and behaviors.


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