Knowledge Flows, Transfer, Sharing and Exchange Minitrack

Permanent URI for this collection

https://hdl.handle.net/10125/42523

Knowledge flows occur between individuals, among groups of individuals, and among other entities such as firms and networks. This minitrack focuses on examining the nature and role of knowledge flows (e.g., knowledge transfer and knowledge sharing) among entities. Technical, managerial, behavioral, organizational, and economic perspectives on knowledge flows will be accepted and presented in this minitrack.

Potential topics that this minitrack will address are:

The effects of consumerization of IT (COIT) on knowledge flows
Knowledge flows and Internet of Things (IoT)
Knowledge sharing, flows, and transfer within the context of Social Media
Design of information and communication systems that facilitate knowledge transfer and sharing
Role of social computing and social media in knowledge transfer and sharing
Technical challenges and solutions in the development and implementation of systems that facilitate knowledge flows
Managerial and organizational challenges/solutions in the institutionalization and implementation of processes and activities that facilitate knowledge flows
Intra- and inter-organizational processes for effective leverage of knowledge through knowledge transfer and sharing
Enablers and inhibitors of knowledge sharing and knowledge transfer behaviors
Role of information and communication technologies in managing knowledge flows
Knowledge reuse in organizations
Organizational and economic incentive structures for knowledge sharing and use
Building knowledge capabilities to harness and enable knowledge flows
Knowledge flows (and sharing ) within networks and communities
Harnessing knowledge flows for creativity and innovation
Role of IT within communities of practice (CoPs)

Minitrack Co-Chairs:

K. D. Joshi (Primary Contact)
Washington State University
Email: joshi@wsu.edu

Lynne Cooper
Jet Propulsion Laboratory
Email: lynne.p.cooper@jpl.nasa.gov

Nathan Johnson
Western Carolina University
Tel: (828) 227-3711
Email: nathan.johnson@wcu.edu

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Now showing 1 - 7 of 7

What do you mean, Supply Chain Security? A Taxonomy and Framework for Knowledge Sharing
(2017-01-04) Smith, Jess; Teuton, Jeremy
Supply chain security is a hot topic for research, but the specific phrase "supply chain security" has different definitions for different groups. This paper presents a brief taxonomy for both the terms supply chain and security, and then explores a basic framework to help describe areas of research in supply chain security. Security is broken down into confidentiality, integrity, and availability; supply chain is detailed as the networks, processes, and elements. By creating a method for describing the research, we can begin to create a framework of the research in supply chain security. This framework allows us to see where prior work has been done and allows us to focus on less-explored areas. It also allows us to compare and translate the supply chain research being performed in one field (electronics), to other fields (e.g. food production, clothing manufacturing).
Towards a Knowledge-based Theory of Developing Sustainable Visions: The Theory Wave
(2017-01-04) Kaiser, Alexander
Although research and practice agree that visions are essential for organizations, the process of vision development remains elusive in academic literature. Presenting the “theory wave“, this paper proposes a knowledge-based theory for developing sustainable visions to guide the creation of measures and actions in the future. Central to the theory wave, we suggest three features that characterize the development of sustainable visions; (1) learning from an envisioned future, (2) need orientation and (3) a wavelike process combining top-down and bottom-up approaches. Furthermore, by enhancing the creation of different kinds of knowledge, the theory-wave entails aspects of research on knowledge creation and thereby, it provides a new perspective on the field of vision development.
Impact of Knowledge Sharing Adoption on Universities’ Virtual Learning Communities
(2017-01-04) Alammari, Abdullah; Chandran, Daniel
In new age, knowledge has become a significant source. Knowledge sharing is a substantial component of success in any organisation. In various organisations, knowledge sharing adoption is lacking, especially among academic staff working in Saudi universities. This paper investigates collectivism impact on knowledge-sharing factors among academics in Saudi e-learning communities. A conceptual model that will affect the knowledge sharing behaviour within the e-learning community in Saudi universities is proposed. Hypotheses have been accordingly developed. Data was collected in different Saudi public universities. Partial Least Square approach has been applied to analyse the data. The findings of this study provide key factors affecting the process of knowledge-sharing adoption between academic staff within the virtual learning communities in Saudi universities
How Authoritarian Leadership and Renqing Orientation Improve Tacit Knowledge Sharing
(2017-01-04) Chen, Zhenjiao; Song, Mengmeng; Jia, Lin; Wang, Zhaohua
Following an indigenous approach and fairness theory, we develop a theoretical model to investigate when and how authoritarian leadership will improve tacit knowledge sharing (KS). Drawing on survey data from 309 Chinese employees, we examine whether authoritarian leadership will affect procedural fairness (PF) perception and interactional fairness (IF) perception, which in turn, will affect tacit KS; and examine whether leader renqing orientation (LRO) will moderate these mediation processes. Our data demonstrate that authoritarian leadership is negatively related to IF perception, which is positively related to tacit KS. Moreover, authoritarian leadership significantly increases tacit KS intention through PF perception only when LRO is high. Authoritarian leadership significantly decreases tacit KS intention through PF perception and IF perception only when LRO is low. Theoretical and practical implications are discussed.
Addressing the tacit knowledge gap in knowledge systems across agential realism
(2017-01-04) Holford, W. David; Hadaya, Pierre
Past literature has claimed that knowledge systems can enhance or facilitate the creation, retention, transfer and application of tacit knowledge. While this paper agrees that this objective is realizable, it argues that the literature has so far failed to successfully operationalize this, since at the core of the models published to date lies the flawed epistemological assumption of knowledge ‘conversion’ – more specifically, tacit to explicit knowledge conversion. \ \ This paper proposes the alternative epistemology of agential realism which allows us to reframe tacit knowledge within knowledge systems, whereby humans and machine are coupled together (intra-act) to enhance and retain tacit knowledge creation and sharing without putting undue emphasis on its conversion and storability into an explicit form – thus, agential realism allows tacit to remain as tacit. In addition, this critical-conceptual paper proposes nascent examples of human-machine or knowledge system configurations which have affinities or potential affinities with an agential realist approach. \
A Dynamic Network Measure of Knowledge Evolution: A Case Study of MIS Quarterly
(2017-01-04) Li, Jiexun; Chen, Jiyao
Citation measures are the central metrics to assessing the impact of an article, the viability of research streams, the career success of scholars, as well as the quality and status of journals and academic units. While measuring the magnitude of the future usage, they cannot capture the substantial effects that an article may have on the subsequent use of its predecessors - whether it amplifies or disrupts the existing literature. We embrace that it is imperative to not only assess its impact but also assess how an article reinforces the existing research streams or breaks into a new stream to understand its true effect. Accordingly, we introduce a new, dynamic measure, and conduct a case study using all articles published between 1979-2016 at MIS Quarterly to illustrate the validity of the new measure, and conclude with some future research topics and implications.
Introduction to Knowledge Flows, Transfer, Sharing and Exchange Minitrack
(2017-01-04) Joshi, K.D.; Cooper, Lynn; Johnson, Nathan

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