Knowledge Management in Support of Crisis Response

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.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md Anwarul Islam ◽  
Gunilla Widen

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.


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.


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.


2011 ◽  
pp. 32-40 ◽  
Author(s):  
Murray E. Jennex

Alavi and Leidner (2001, p. 114) defined knowledge management systems (KMSs) as “IT-based systems developed to support and enhance the organizational processes of knowledge creation, storage/retrieval, transfer, and application.” They observed that not all KM initiatives will implement an IT solution, but they support IT as an enabler of KM. Maier (2002) expanded on the IT concept for the KMS by calling it an ICT system that supported the functions of knowledge creation, construction, identification, capturing, acquisition, selection, valuation, organization, linking, structuring, formalization, visualization, distribution, retention, maintenance, refinement, evolution, access, search, and application. Stein and Zwass (1995) define an organizational memory information system (OMIS) as the processes and IT components necessary to capture, store, and bring to bear knowledge created in the past on decisions currently being made. Jennex and Olfman (2004) expanded this definition by incorporating the OMS into the KMS and adding strategy and service components to the KMS.


Author(s):  
Murray E. Jennex

Alavi and Leidner (2001, p. 114) defined knowledge management systems (KMSs) as “IT-based systems developed to support and enhance the organizational processes of knowledge creation, storage/retrieval, transfer, and application.” They observed that not all KM initiatives will implement an IT solution, but they support IT as an enabler of KM. Maier (2002) expanded on the IT concept for the KMS by calling it an ICT system that supported the functions of knowledge creation, construction, identification, capturing, acquisition, selection, valuation, organization, linking, structuring, formalization, visualization, distribution, retention, maintenance, refinement, evolution, access, search, and application. Stein and Zwass (1995) define an organizational memory information system (OMIS) as the processes and IT components necessary to capture, store, and bring to bear knowledge created in the past on decisions currently being made. Jennex and Olfman (2004) expanded this definition by incorporating the OMS into the KMS and adding strategy and service components to the KMS.


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):  
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):  
Marcello Chedid ◽  
Leonor Teixeira

The advancement of the economy based on knowledge makes knowledge management critical for organizations. The traditional knowledge management systems have presented some shortcomings on their implementation and management. Social media have demonstrated that are not just a buzzword and have been used increasingly by the organizations as a knowledge management component. This chapter was developed aiming at exploring and critically reviewing the literature of social media use in organizational context as a knowledge management component. The review suggests that, while traditional knowledge management systems are static and often act just as knowledge repositories, social media have the potential for supporting different knowledge management processes that will impact on the organizational culture by encouraging on participation, collaboration and knowledge sharing. Despite their recognized impact on knowledge management processes, some uncertainty remains amongst researchers and practitioners and is associated to the difficulty in understanding and measuring their real impact.


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