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Cloud sourcing and innovation: slow train coming? A composite research study

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  • Willcocks, Leslie P.
  • Venters, Will
  • Whitley, Edgar A.

Abstract

Purpose – Although cloud computing has been heralded as driving the innovation agenda, there is growing evidence that cloud computing is actually a “slow train coming”. The purpose of this paper is to seek to understand the factors that drive and inhibit the adoption of cloud computing, particularly in relation to its use for innovative practices. Design/methodology/approach – The paper draws on a composite research base including two detailed surveys and interviews with 56 participants in the cloud supply chain undertaken between 2010 and 2013. The insights from this data are presented in relation to set of antecedents to innovation and a cloud sourcing model of collaborative innovation. Findings – The paper finds that while some features of cloud computing will hasten the adoption of cloud, and its use for innovative purposes by the enterprise, there are also clear challenges that need to be addressed before cloud can be adopted successfully. Interestingly, the analysis highlights that many of these challenges arise from the technological nature of cloud computing itself. Research limitations/implications – The research highlights a series of factors that need to be better understood for the maximum benefit from cloud computing to be achieved. Further research is needed to assess the best responses to these challenges. Practical implications – The research suggests that enterprises need to undertake a number of steps for the full benefits of cloud computing to be achieved. It suggests that collaborative innovation is not necessarily an immediate consequence of adopting cloud computing. Originality/value – The paper draws on an extensive research base to provide empirically informed analysis of the complexities of adopting cloud computing for innovation.

Suggested Citation

  • Willcocks, Leslie P. & Venters, Will & Whitley, Edgar A., 2013. "Cloud sourcing and innovation: slow train coming? A composite research study," LSE Research Online Documents on Economics 54848, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:54848
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    File URL: http://eprints.lse.ac.uk/54848/
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    References listed on IDEAS

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    3. Federico Etro, 2011. "The Economics of Cloud Computing," The IUP Journal of Managerial Economics, IUP Publications, vol. 0(2), pages 7-22, May.
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    Cited by:

    1. STOICA Eduard Alexandru & BOGOSLOV Ioana Andreea & GEORGESCU Mircea Radu, 2022. "Unexpected Digital Experiment: Cloud Computing As Solution For Entrepreneurship In A Post-Pandemic World?," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 74(2), pages 70-77, September.
    2. E. Loukis & N. Kyriakou & K. Pazalos & S. Popa, 2017. "Inter-organizational innovation and cloud computing," Electronic Commerce Research, Springer, vol. 17(3), pages 379-401, September.
    3. Euripidis Loukis & Spyros Arvanitis & Niki Kyriakou, 2017. "An empirical investigation of the effects of firm characteristics on the propensity to adopt cloud computing," Information Systems and e-Business Management, Springer, vol. 15(4), pages 963-988, November.
    4. Ali, Ali & Warren, Derrick & Mathiassen, Lars, 2017. "Cloud-based business services innovation: A risk management model," International Journal of Information Management, Elsevier, vol. 37(6), pages 639-649.

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    More about this item

    Keywords

    Cloud computing; Cloud sourcing; diffusion of innovation; innovation;
    All these keywords.

    JEL classification:

    • J50 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - General

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