AI-enabled knowledge sharing and learning: redesigning roles and processes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shankar Sundaresan ◽  
Zuopeng Zhang
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Knowledge Workers ◽  
Use Cases ◽  
Three Dimensions ◽  
Management Systems ◽  
Single Type ◽  
Knowledge Management Systems ◽  
Content Type ◽  
The Impact

Purpose This paper aims to investigate the role of AI in facilitating knowledge sharing and learning in organizations and the redesign of AI-enabled knowledge workers’ roles and processes. Design/methodology/approach This paper develops a framework for analyzing AI’s role in different knowledge management activities, explores the impact of AI in transforming knowledge workers’ roles and processes in knowledge sharing and learning and presents recommendations for tailored AI-enabled knowledge management systems for modern knowledge worker environments. Findings The authors synthesize the elements from different parts of the relevant literature and develop a unified framework consisting of three dimensions of AI systems, three knowledge management (KM) activities and two types of AI–human interactions. Based on this framework, the authors summarize the primary use cases supported by AI-enabled knowledge management systems (KMS) and compare them with the traditional KMS use cases. The authors find that a single type of AI system is insufficient to support the increasingly complex nature of knowledge workers’ activities, manifested in three dimensions – process, engagement and content; a tailored AI system should be developed to support knowledge workers in their unique roles and processes. Originality/value With the growing interest in AI and its applications to KM, this research provides managerial insights for practitioners to effectively adopt AI in managing knowledge assets in organizations.

Enhancing knowledge sharing intention through the satisfactory context of continual service of knowledge management systems

2016 ◽  
Vol 29 (4) ◽  
pp. 807-829 ◽  
Author(s):  
Tse-Ping Dong ◽  
Chia-Liang Hung ◽  
Nai-Chang Cheng
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
User Satisfaction ◽  
Structural Equation ◽  
Cognitive Theory ◽  
Equation Model ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Is Success ◽  
Content Type

Purpose The purpose of this paper is to show how continual enhancement of knowledge management systems (KMSs) enhances knowledge sharing intention. Design/methodology/approach This study integrates information system (IS) success with social cognitive theory (SCT) to explain knowledge sharing intention. Based on a survey of 276 KMS users in Taiwan’s information technology industry, the structural equation model has been applied to examine the influence process from a user satisfactory context to personal cognitive beliefs, and thus knowledge sharing intention. Findings The results indicate that the user satisfactory context stimulated by continual KMS enhancement increases knowledge sharing intention through the mediation of personal cognition of self-efficacy and outcome expectancy. Practical implications The results have empirical implications for learning how to motivate developers’ patience and passion for follow-up improvements to meet user expectations empathically, which has been emphasized for service provision. Originality/value The originality of this research is its explanation of system adoption behavior, which combines the core of IS success with SCT, links user satisfaction to intention to use, and concerns behavior within a specific context.

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.

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.

Ontologies in Expertise Finding Systems

2013 ◽  
pp. 158-177 ◽  
Author(s):  
Maryam Fazel-Zarandi ◽  
Mark S. Fox ◽  
Eric Yu
Keyword(s):  
Knowledge Management ◽  
Requirements Engineering ◽  
Modeling Technique ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Organizational Settings ◽  
Potential Benefits ◽  
The Right ◽  
Expertise Finding ◽  
The Impact

Knowledge Management Systems that enhance and facilitate the process of finding the right expert in an organization have gained much attention in recent years. This chapter explores the potential benefits and challenges of using ontologies for improving existing systems. A modeling technique from requirements engineering is used to evaluate the proposed system and analyze the impact it would have on the goals of the stakeholders. Based on the analysis, an ontology-based expertise finding system is proposed. This chapter also discusses the organizational settings required for the successful deployment of the system in practice.

Knowledge Management Systems Characteristics That Support Knowledge Sharing and Decision-Making Processes in Organizations

2021 ◽  
pp. 182-200
Author(s):  
Mahmoud Abdelrahman ◽  
Firas Masri ◽  
Dimitra Skoumpopoulou
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Conceptual Framework ◽  
Knowledge Sharing ◽  
Management Systems ◽  
Management Decision ◽  
Knowledge Management Systems ◽  
Structured Interviews ◽  
Public And Private ◽  
Management Decision Making

With the advent of the knowledge economy and the growing importance of knowledge societies, organizations are constantly seeking new ways of leveraging and sharing knowledge to support decision-making (DM) processes. This chapter presents an initial insight to the little-researched phenomenon of how knowledge management systems (KMSs) can facilitate knowledge sharing (KS) to support DM processes in organizations. In this chapter, authors aim to extend the existing literature of knowledge management, decision making, and knowledge sharing by proposing a new conceptual framework, namely “ECUA” (easiness, communication, unification, and analytics characteristics). In this study, 42 semi-structured interviews have been conducted. The proposed conceptual framework will benefit managers in both public and private sectors in finding new ways of leveraging and sharing knowledge to support DM processes via using KMSs. This framework can be used to explore KMSs characteristics that can support DM processes by facilitating knowledge sharing in organizations.

scholarly journals (Neg)Entropic Scenarios Affecting the Wicked Design Spaces of Knowledge Management Systems

Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 169
Author(s):  
Ulrich Schmitt
Keyword(s):  
Knowledge Management ◽  
Information Overload ◽  
Current Knowledge ◽  
Design Science ◽  
Knowledge Workers ◽  
Science Research ◽  
General Purpose ◽  
Management Systems ◽  
Management Approach ◽  
Knowledge Management Systems

The envisioned embracing of thriving knowledge societies is increasingly compromised by threatening perceptions of information overload, attention poverty, opportunity divides, and career fears. This paper traces the roots of these symptoms back to causes of information entropy and structural holes, invisible private and undiscoverable public knowledge which characterize the sad state of our current knowledge management and creation practices. As part of an ongoing design science research and prototyping project, the article’s (neg)entropic perspectives complement a succession of prior multi-disciplinary publications. Looking forward, it proposes a novel decentralized generative knowledge management approach that prioritizes the capacity development of autonomous individual knowledge workers not at the expense of traditional organizational knowledge management systems but as a viable means to foster their fruitful co-evolution. The article, thus, informs relevant stakeholders about the current unsustainable status quo inhibiting knowledge workers; it presents viable remedial options (as a prerequisite for creating the respective future generative Knowledge Management (KM) reality) to afford a sustainable solution with the generative potential to evolve into a prospective general-purpose technology.

The impact of organisational culture, organisational structure and technological infrastructure on process improvement through knowledge sharing

2019 ◽  
Vol 26 (6) ◽  
pp. 1443-1472
Author(s):  
Sergio J. Chión ◽  
Vincent Charles ◽  
José Morales
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Process Improvement ◽  
Textile Industry ◽  
Organisational Culture ◽  
Organisational Structure ◽  
Technology Infrastructure ◽  
Content Type ◽  
General Managers ◽  
The Impact

Purpose The purpose of this paper is to investigate the mediator role that knowledge sharing plays between organisational culture, organisational structure, and technology infrastructure and process improvement in a knowledge management context in manufacturing enterprises operating in the food, beverage and textile industry. Design/methodology/approach An empirical study is conducted with a sample of 200 food, beverage and textile companies. Data are obtained by means of a survey questionnaire applied to general managers in each of the sample firms. The impact of the factors organisational culture, organisational structure and technology infrastructure on process improvement via knowledge sharing is assessed. Structural equation modelling and maximum likelihood estimation are applied to find the direction and strength of the relationships. Findings The main findings indicate the significant relationships between knowledge sharing and process improvement, between organisational culture and knowledge sharing, and between organisational structure and knowledge sharing. The relationship between technology infrastructure and knowledge sharing is found not to be significant. Research limitations/implications The findings of the present study are limited to the food, beverage and textile industry. Future research could incorporate data from other manufacturing sectors or service companies. Practical implications This study provides practical guidance for general managers who wish to implement process improvement programmes. Originality/value Several authors have noted that there are few research studies concerning the interaction between each phase of knowledge management and total quality management practices. This study is interested in knowledge sharing and its impact on process improvement in a knowledge management context.

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