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A Coevolutionary Model as a Collaborative Mechanism for the Business Exchange in the High-technology Industrial Value Chain

Author

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  • Sajal Kabiraj

    (Sajal Kabiraj (corresponding author) is Professor of Business and Management, International Center for Organization & Innovation Studies (ICOIS), Dongbei University of Finance and Economics, Dalian, China. E-mail: skabiraj@dufe.edu.cn)

  • Dwarika Prasad Uniyal

    (Dwarika Prasad Uniyal is Associate Professor in Marketing, Indian Institute of Management, Kashipur, Uttarakhand, India. E-mail: dwarika.uniyal@iimkashipur.ac.in)

Abstract

The High-technology industries are highly capital-intensive enterprises dealing with short life cycle products, offering potential to simultaneously examine different perspectives of collaborative relationships. Although the extant literature on collaborative activities in business enterprises has progressed along the different stages in the industrial value chain, there is lack of cohesion in the current state of the art. Conceptual clarity and contextual description in particular are dispersed and disintegrated in the current state. In order to integrate the literature and highlight its contributions, it is essential to provide a more technical description and a discussion on supply chain collaboration from various perspectives of the High-technology industry. In this article, the issues pertaining to responsiveness, collaborative development practices, strategic procurement and information technology (IT), and control-oriented approaches are presented. By effectively doing so, we provide a comprehensive literature review to determine the scope for future research in the High-technology industries and other similar manufacturing environments.

Suggested Citation

  • Sajal Kabiraj & Dwarika Prasad Uniyal, 2012. "A Coevolutionary Model as a Collaborative Mechanism for the Business Exchange in the High-technology Industrial Value Chain," Jindal Journal of Business Research, , vol. 1(2), pages 193-207, December.
  • Handle: RePEc:sae:jjlobr:v:1:y:2012:i:2:p:193-207
    DOI: 10.1177/2278682113476166
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    References listed on IDEAS

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    1. van der Vaart, Taco & van Donk, Dirk Pieter, 2008. "A critical review of survey-based research in supply chain integration," International Journal of Production Economics, Elsevier, vol. 111(1), pages 42-55, January.
    2. Li, Wenli & Humphreys, Paul K. & Yeung, Andy C.L. & Edwin Cheng, T.C., 2007. "The impact of specific supplier development efforts on buyer competitive advantage: an empirical model," International Journal of Production Economics, Elsevier, vol. 106(1), pages 230-247, March.
    3. Lamothe, Jacques & Hadj-Hamou, Khaled & Aldanondo, Michel, 2006. "An optimization model for selecting a product family and designing its supply chain," European Journal of Operational Research, Elsevier, vol. 169(3), pages 1030-1047, March.
    4. Hacklin, Fredrik & Marxt, Christian & Fahrni, Fritz, 2006. "Strategic venture partner selection for collaborative innovation in production systems: A decision support system-based approach," International Journal of Production Economics, Elsevier, vol. 104(1), pages 100-112, November.
    5. de Vries, Jan, 2007. "Diagnosing inventory management systems: An empirical evaluation of a conceptual approach," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 63-73, July.
    6. Richard Cuthbertson & Wojciech Piotrowicz, 2011. "Performance measurement systems in supply chains," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 60(6), pages 583-602, July.
    7. Wu, Desheng & Olson, David L., 2008. "Supply chain risk, simulation, and vendor selection," International Journal of Production Economics, Elsevier, vol. 114(2), pages 646-655, August.
    8. Wang, Wenlin & Rivera, Daniel E. & Kempf, Karl G., 2007. "Model predictive control strategies for supply chain management in semiconductor manufacturing," International Journal of Production Economics, Elsevier, vol. 107(1), pages 56-77, May.
    9. Kamath, Narasimha B. & Roy, Rahul, 2007. "Capacity augmentation of a supply chain for a short lifecycle product: A system dynamics framework," European Journal of Operational Research, Elsevier, vol. 179(2), pages 334-351, June.
    10. Zhang, Wei-Guo & Fu, Junhui & Li, Hongyi & Xu, Weijun, 2012. "Coordination of supply chain with a revenue-sharing contract under demand disruptions when retailers compete," International Journal of Production Economics, Elsevier, vol. 138(1), pages 68-75.
    11. Bailey, Kate & Francis, Mark, 2008. "Managing information flows for improved value chain performance," International Journal of Production Economics, Elsevier, vol. 111(1), pages 2-12, January.
    12. Wun Kwong Ng & George Zillante & Albert P.C. Chan & Jian Zuo & Bo Xia, 2012. "Selection of project procurement methods in the consumer electronics industry - a Hong Kong study," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 5(3), pages 289-315.
    13. Gérard P. Cachon & Martin A. Lariviere, 2005. "Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations," Management Science, INFORMS, vol. 51(1), pages 30-44, January.
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