Forthcoming articles

International Journal of Integrated Supply Management

International Journal of Integrated Supply Management (IJISM)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Integrated Supply Management (3 papers in press)

Regular Issues

    by Santosh Kumar Mahapatra, Ram Narasimhan, Tomas Hult 
    Abstract: Although researchers have used multiple organization theories such as transaction cost theory (TCT), resource-based view (RBV), social exchange theory (SET) and resource dependence theory (RDT) to understand governance mechanisms used in sourcing, our understanding of the effectiveness of various sourcing governance mechanisms in a dynamic business context have been inadequate. This is partly because the contextual dynamics has not been kept in perspective while utilizing different theories in studies concerning various governance mechanisms. Inadequate consideration of the contextual dynamics has affected the ability to decide the right governance mechanisms over time. As a remedy, we delineate a conceptual framework that considers simultaneous use of multiple modes of governance and their adjustment over time to match the dynamic business contingencies. We incorporate the product life cycle (PLC) framework in characterizing the contextual dynamics of sourcing and use TCT, RBV, SET and RDT tenets to argue that use of multiple-modes of governance can be effective in addressing evolving sourcing needs over time. Our study contributes to theory development by explaining the whys, how and when of multiple-modes governance over time. Managerial implications, limitations and future research opportunities are also discussed.
    Keywords: Product Life Cycle; Organization Theory; Governance Mechanism; Risk Aversion; Sourcing Strategy.
    DOI: 10.1504/IJISM.2020.10026099
  • Integrating Intellectual Capital Across Supply Chains: An Innovation Perspective   Order a copy of this article
    by Eman Nasr, Kalyani Menon, Hamid Noori 
    Abstract: This paper studies how supply chain knowledge and human factors can be integrated for better innovation performance. It studies the extent to which compatibility in the organizational and human capital held by buyer-seller firms drives radical and incremental innovation amidst relational, social and power dynamics present in the supply chain. The paper introduces two new constructs: organizational capital similarity and human capital similarity. Data was obtained using a web-administered survey of purchasing managers in Canada, and CFA/PLS was used to test the hypotheses. Results indicate that the management of intellectual capital to drive incremental and radical innovation in supply chains should focus on building organizational capital similarity and human capital similarity respectively. Power exercise decreases radical innovation while not impacting incremental innovation; and relational social capital increases both forms of innovation.
    Keywords: Supply Chain Integration; Supplier Relationships; Supply chain management; Supply Chain Performance/Innovation; Intellectual capital.

  • Supplier Selection in Multiple Sourcing: A Proactive Approach to Manage the Supply Chain Risk   Order a copy of this article
    by Zohreh Khojasteh Ghamari 
    Abstract: Literature shows that Supply Chain Risk Management (SCRM) has often been involved with increased costs. However, in this paper, we propose a proactive approach to manage the Supply Chain Risk (SCR) with minimal or no cost increases. The basis of this SCRM strategy is dual-sourcing. Moreover, we limit the selection of suppliers with their associated risks by considering suppliers locations, corporate groups, and next tier suppliers. We test the model with different datasets to examine the relationships between suppliers costs, corporate group membership, location, and downstream supply chain. In certain conditions, by adding an insignificant amount of cost, our proposed model can design a robust supply chain network. Finally, to demonstrate the applicability of the model, we propose a method to quantify the probability of risk before and after each stage of our model. The results illustrate the impact of our model and scenarios with the best outcome.
    Keywords: Supply chain risk management; Supplier selection; Mixed integer linear programming; Risk quantification; Double sourcing.