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Prioritizing the Critical Factors of Cloud Computing Adoption Using Multi-criteria Decision-making Techniques

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  • Mahak Sharma
  • Ruchita Gupta
  • Padmanav Acharya

Abstract

Cloud Computing (CC) is a paradigm shift with the potential of transforming the information and communication technology (ICT) industry. ICT is an integral part of all businesses, and CC helps in lightening the burden of massive ICT investments. Thus, it is essential to understand the factors that influence CC adoption. The purpose of this study is to identify and rank critical factors for CC adoption in the Indian context. The research has adopted mixed methodology (qualitative and quantitative). Experts from 13 organizations (including 8 cloud service providers (CSPs) and 5 cloud service users (CSUs)) are interviewed. Content analysis is used to confirm existing factors and identify new factors in the Indian context. Qualitative analysis has identified four new factors, namely, ‘time to market’, ‘futuristic’, ‘resistance to change’ and ‘financial losses’ (arising from security and resource availability). The quantitative part of the research used analytic hierarchy process (AHP) and fuzzy analytic hierarchy process (FAHP) techniques to rank the factors. The analysis revealed ‘IT service cost’ and ‘time to market’ as the most critical factor through FAHP and AHP respectively. However, ‘organization size’ is reported the least critical for CC adoption through both the methods. The results also highlight divergence among the criticality of CC adoption factors using the two techniques. The study is very useful for CSPs and key decision-makers to understand the critical adoption factors and judiciously strategize for CC service promotions. It will also help users to wisely decide while making CC adoption decision.

Suggested Citation

  • Mahak Sharma & Ruchita Gupta & Padmanav Acharya, 2020. "Prioritizing the Critical Factors of Cloud Computing Adoption Using Multi-criteria Decision-making Techniques," Global Business Review, International Management Institute, vol. 21(1), pages 142-161, February.
    • Handle: RePEc:sae:globus:v:21:y:2020:i:1:p:142-161
    DOI: 10.1177/0972150917741187
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    References listed on IDEAS

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    Cited by:

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    5. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    6. Abad-Segura, Emilio & González-Zamar, Mariana Daniela & López-Meneses, Eloy, 2022. "El proceso de toma de decisiones basado en métodos cuantitativos [Analysis of research on decision making-based on quantitative methods]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 34(1), pages 118-136, December.
    7. Esra Cengiz Tırpan & Hülya Bakırtaş, 2024. "Technology Acceptance Model 3 in Understanding Employee’s Cloud Computing Technology," Global Business Review, International Management Institute, vol. 25(1), pages 117-136, February.
    8. Venkataiah Chittipaka & Satish Kumar & Uthayasankar Sivarajah & Jana Lay-Hwa Bowden & Manish Mohan Baral, 2023. "Blockchain Technology for Supply Chains operating in emerging markets: an empirical examination of technology-organization-environment (TOE) framework," Annals of Operations Research, Springer, vol. 327(1), pages 465-492, August.
    9. Sharma, Mahak & Sehrawat, Rajat & Daim, Tugrul & Shaygan, Amir, 2021. "Technology assessment: Enabling Blockchain in hospitality and tourism sectors," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    10. Radhwan Sneesl & Yusmadi Yah Jusoh & Marzanah A. Jabar & Salfarina Abdullah, 2022. "Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review," Sustainability, MDPI, vol. 14(8), pages 1-27, April.

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