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A Systematic Approach to Analyze the Information in Supply Chain Collaboration: A Conceptual Framework

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Supply Chain Strategies, Issues and Models

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Abstract

In recent competitive business scenario, many supply chain players act together to perform well to earn profit. In this attempt, several supply chain (SC) informations are being exchanged under collaborative framework. Some information will be used for planning, production, replenishment, and forecasting; while the other information will just overload the system. Hence, it is obligatory for supply chain players to know the value of each piece of information for its role in the supply chain processes. In this chapter, first we try to model the SC information and then validate the information so as to use in the SC processes. In this approach, we suggest a framework to list and evaluate SC information. We also attach quality attributes to each of the information listed. On identifying the important information and related quality attributes, managers can decide including the information in the SC processes. This approach can help the managerial decision making in two ways—managers can identify the important information based on its attached quality attributes and can revisit the supply chain collaboration for further information need.

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Author information

Authors and Affiliations

  1. Department of Management and Business Systems, University of Bedfordshire Business School, Putteridge Bury Campus, Luton, LU2 8LE, Bedfordshire, UK

    Usha Ramanathan

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  1. Usha Ramanathan
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Correspondence to Usha Ramanathan .

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Editors and Affiliations

  1. Department of Business Systems, University of Bedfordshire Business School, Luton, United Kingdom

    Usha Ramanathan

  2. University of Bedfordshire Business Scho, Luton, Bedfordshire, United Kingdom

    Ramakrishnan Ramanathan

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Ramanathan, U. (2014). A Systematic Approach to Analyze the Information in Supply Chain Collaboration: A Conceptual Framework. In: Ramanathan, U., Ramanathan, R. (eds) Supply Chain Strategies, Issues and Models. Springer, London. https://doi.org/10.1007/978-1-4471-5352-8_2

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  • DOI: https://doi.org/10.1007/978-1-4471-5352-8_2

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5351-1

  • Online ISBN: 978-1-4471-5352-8

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