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Cloud computing and business-to-business networks

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  • Maria Petrescu

Abstract

The objective of this study is to clarify the concept of cloud computing and analyse how it can influence the business-to-business (B2B) world. The study reviews the cloud concept and its definitions published throughout the IT literature. The article then analyses how cloud computing can be applied in B2B networks, from the point of view of transaction cost economics and social network theory. The analysis focuses on how operating in a cloud can influence the transaction costs businesses face in the marketplace and how it can affect the make or buy decision. The study concludes that the overall benefits of cloud computing, including low cost and low investment, real-time accessibility, standardisation and flexibility, lead to lower transaction costs, asset specificity and opportunism. Cloud integration allows companies to better communicate and coordinate with their partners, leading to higher and more efficient levels of market integration.

Suggested Citation

  • Maria Petrescu, 2012. "Cloud computing and business-to-business networks," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 10(1), pages 93-108.
    • Handle: RePEc:ids:ijbisy:v:10:y:2012:i:1:p:93-108
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    Citations

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    Cited by:

    1. Raut, Rakesh D. & Priyadarshinee, Pragati & Gardas, Bhaskar B. & Jha, Manoj Kumar, 2018. "Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 98-123.
    2. Maria Giuffrida & Riccardo Mangiaracina & Umar Burki, 2021. "Cloud-Based Booking Platforms in Warehouse Operations," Sustainability, MDPI, vol. 13(20), pages 1-16, October.
    3. Surya Karunagaran & Saji K Mathew & Franz Lehner, 2019. "Differential cloud adoption: A comparative case study of large enterprises and SMEs in Germany," Information Systems Frontiers, Springer, vol. 21(4), pages 861-875, August.
    4. Sugam Sharma & Ritu Shandilya & Srikanta Patnaik & Ashok Mahapatra, 2016. "Leading NoSQL models for handling Big Data: a brief review," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 22(1), pages 1-25.
    5. Anjala S. Krishen & Maria Petrescu, 2018. "Analytics from our scholarly closets: the connections between data, information, and knowledge," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(1), pages 1-5, March.

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