scholarly journals Social capital, IT capability, and the success of knowledge management systems

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.

2020 ◽  
Vol 12 (2) ◽  
pp. 30-51
Author(s):  
Vidalina De Freitas ◽  
Guillermo Yáber ◽  
Carlos Zerpa

This study proposes a structural model of the causal relationships that organizational, strategic, technological, and implementation factors have with knowledge management (KM) processes, as well as those between KM processes and the implementation factors for knowledge management systems (KMSs) at higher education institutions (HEIs) in Latin America. The exogenous variables are: culture of sharing, leadership, KM approach, knowledge map, information management strategy, and ICT. In turn, the endogenous variables are: KM processes, system quality, service quality, KMS use, and user satisfaction. A causal, explanatory, cross-sectional, and ex post facto multivariate study was carried out, using a hypothetical–deductive approach. The sample consisted of 374 individuals (academics, administrators, and researchers), belonging to 193 HEIs across 15 Latin American countries. The resulting model presents a partial fit to the data, confirming the explanatory relationships between 12 of the variables. Based on the results obtained from calculation of the direct and indirect effects observed for each of the endogenous variables of the model, the following goodness of fit indices were calculated: absolute (χ2 = 48.908, P-value= .059, PCMIN= 1.397, RMSEA= .075, FMIN= .689) and incremental (GFI= .894, IFI= .790). It is concluded that leadership, KM approach, knowledge map, and ICT positively influence KM processes; KM processes have a causal relationship with system quality and service quality; and system quality and service quality have an influence on KMS use and user satisfaction.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Audrey Poh Choo Cheak ◽  
Chin Wei Chong ◽  
Yee Yen Yuen

Purpose First, this study aims to investigate the effects of quality perceptions (i.e. system quality, information quality and service quality) and perceived ubiquity on engineers’ perceived benefits and perceived user-friendly of mobile knowledge management systems (MKMS). Second, it aims to examine the influence of perceived benefits and perceived user-friendly on MKMS adoption intention. Design/methodology/approach Quantitative empirical research using an integrated technology acceptance model and information systems success model was used, among semiconductors engineers in Malaysia. There were only 375 usable responses collected, which are at a response rate of 59.52%. The partial least squares version 3.0 was used to analyze the valid data collected. Findings The results suggest that service quality plays an important role that would increase the engineers’ perception of MKMS benefits and its user-friendliness. Intention to adopt MKMS was found to be strongly predicted by perceived MKMS benefits as compared to perceived user-friendly. Practical implications The findings are valuable for managers, engineers, knowledge management (KM) practitioners, MKMS developers and mobile device producers to enhance MKMS adoption intention. Originality/value Despite KM has been well accepted and established in the management science and practice area of study, yet it is still neglected in a “mobile” context. Accordingly, this paper contributes to the research gap.


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.


2022 ◽  
Vol 18 (1) ◽  
pp. 0-0

Recently, Knowledge Management Systems (KMS) consider one of the major fields of study in educational institutions, caused by the necessity to identify their knowledge value and success. Hence, based on the updated DeLone and McLean’s Information Systems Success Model (DMISSM), this study set out to assess the success of the Perceived Usefulness of Knowledge Management Systems (PUKMS) in Iraqi universities. To achieve this objective, the quantitative method is selected as the research design. In total, 421 university administration staff members from 13 Iraqi private universities were conducted. This study highlights a number of significant results depending on structural equation modeling which confirms that system, information, and service quality play a fulfilling role in ensuring user satisfaction and the PUKMS.


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.


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