This paper proposes that knowledge sharing (KS) decisions taken by firms in supply chains (SCs) are determined by the strategic interactions among the firms, which are, in turn, a function of the product profile and the structural aspects of the SCs. A set of ten parameters that characterise the KS environment in SCs have been identified by synthesising insights from the literature. A conceptual model, integrating the strategic parameters and their interactions with each other, has been developed in the form of an interaction diagram and a concept map. Interesting linkages between (a) knowledge complementarity and SC structure, (b) product profile and KS rates, and (c) knowledge characteristics, knowledge reuse, and SC redesign, all hitherto unreported, have been identified. Future research directions on the role of third-party aggregators as a KS driver are pointed out. © 2019, © Operational Research Society 2019.

Kaur Arshinder

Department of Management Studies

Ganesh L S

IIT Madras is a public technical and research university located in Chennai, Tamil Nadu. Founded in 1959, it is recognised as an Institute of National Importance.

IIT Madras has been ranked as the top engineering institute in India for four years in a row by the National Institutional Ranking Framework of the MHRD

It currently offers undergraduate, postgraduate and research degrees across 16 disciplines in Engineering, Sciences, Humanities and Management. About 596 faculty belonging to science and engineering departments and centres of the Institute are engaged in teaching, research and industrial consultancy.

IIT Madras

Strategic parameters of knowledge sharing in supply chains

Knowledge Management Research and Practice

Personalization and codification are two dominant knowledge transfer (KT) mechanisms found in organizations and organizational networks. This paper proposes a theoretical model of KT that explains organizations' choice of KT mechanisms in terms of the tacitness of knowledge being shared and the corresponding information content. Shannon's entropy, an information theoretical concept, has been used to define the constructs of tacitness and information content and explain their influence on the choice of the corresponding KT mechanisms. Contributions of the paper include (a) use of information content as a predictor of the choice of KT mechanisms, (b) development of an expression for tacitness, and an intuitive explanation of the tacit-explicit continuum, (c) characterization of product variety in terms of information content, and (d) development of a KT theoretical model that can be operationalized for predicting the choice of KT mechanisms in real-life situations. © 2017 The OR Society.

Knowledge transfer: An information theory perspective

Volume 32, Number 2, April 2005

Biennial International Conference of the Carnegie Bosch Institute

Industrial Marketing Management

Top managers' managerial ties, supply chain integration, and firm performance in China: A social capital perspective

Journal of Knowledge Management

Inter-organizational social capital as an antecedent of a firm’s knowledge identification capability and external knowledge acquisition

International Journal of Operations & Production Management

How does intellectual capital affect product innovation performance? Evidence from China and India

Journal	Data powered by TypesetKnowledge Management Research and Practice
Publisher	Data powered by TypesetTaylor and Francis Ltd.
ISSN	14778238
Open Access	No