IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i8p2952-d164649.html
   My bibliography  Save this article

A Decision-Making Model for Adopting a Cloud Computing System

Author

Listed:
  • Seok-Keun Yoo

    (Seoul Business School, Seoul School of Sciences and Technologies (aSSIST), Seoul 03767, Korea)

  • Bo-Young Kim

    (Seoul Business School, Seoul School of Sciences and Technologies (aSSIST), Seoul 03767, Korea)

Abstract

The use of big data, artificial intelligence, and new information and communication technologies has led to sustainable developments and improved business competitiveness. Until recently cloud services were classified as having special system requirements for a business organization, and was represented by different cloud computing architecture layers like infrastructure, platform, or software as a service. However, as the environment of IT services undergoes successive changes, companies have been required to reconsider their business models and consider adopting a cloud computing system, which can bring on business achievements and development. Regarding a decision-making model for adopting a cloud computing system, this paper analyzes critical variables in a hierarchical structure of decision areas: technology, organization, and environment, as well as seven factors and 23 attributes based on underlying decision factors of cloud computing adoption by AHP (Analytic Hierarchy Process) and Delphi analysis. Furthermore, this research explores a comparative analysis between demanders and providers of cloud computing adoption. Resultantly, this study suggests several important factors for adopting a cloud computing system: top management support, competitive pressure, and compatibility. From the demander side, the high priority factor was compatibility and competitive pressure; in contrast, related advantage and top management support were regarded as priority factors for providers to service their cloud computing systems.

Suggested Citation

  • Seok-Keun Yoo & Bo-Young Kim, 2018. "A Decision-Making Model for Adopting a Cloud Computing System," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2952-:d:164649
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/8/2952/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/8/2952/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Winkler, T. & Benlian, Alexander & Piper, M. & Hirsch, H., 2014. "Bayer Healthcare Delivers a Dose of Reality for Cloud Payoff Mantras in Multinationals," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 69901, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Shui-Lien Chen & June-Hong Chen & Yung Hsin Lee, 2018. "A Comparison of Competing Models for Understanding Industrial Organization’s Acceptance of Cloud Services," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
    3. Randall L. Schultz & Dennis P. Slevin & Jeffrey K. Pinto, 1987. "Strategy and Tactics in a Process Model of Project Implementation," Interfaces, INFORMS, vol. 17(3), pages 34-46, June.
    4. Maikudi Shehu Musawa & Eta Wahab, 2012. "The adoption of electronic data interchange (EDI) technology by Nigerian SMEs: A conceptual framework," E3 Journal of Business Management and Economics., E3 Journals, vol. 3(2), pages 055-068.
    5. Fatemeh Zahedi, 1986. "The Analytic Hierarchy Process---A Survey of the Method and its Applications," Interfaces, INFORMS, vol. 16(4), pages 96-108, August.
    6. Winkler, T. & Benlian, Alexander & Piper, M. & Hirsch, H., 2014. "Bayer Healthcare Delivers a Dose of Reality for Cloud Payoff Mantras in Multinationals," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 66721, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    2. Muhammad Janas Khan & Fasee Ullah & Muhammad Imran & Jahangir Khan & Arshad Khan & Ahmed S. AlGhamdi & Sultan S. Alshamrani, 2022. "Identifying Challenges for Clients in Adopting Sustainable Public Cloud Computing," Sustainability, MDPI, vol. 14(16), pages 1-27, August.
    3. Chang Hee Yoon & Francis Joseph Costello & Cheong Kim, 2019. "Assisting Sustainable Entrepreneurial Activities Through the Analysis of Mobile IT Services’ Success and Failure Factors," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    4. Manideep Yenugula & Shankha Shubhra Goswami & Subramaniam Kaliappan & Rengaraj Saravanakumar & Areej Alasiry & Mehrez Marzougui & Abdulaziz AlMohimeed & Ahmed Elaraby, 2023. "Analyzing the Critical Parameters for Implementing Sustainable AI Cloud System in an IT Industry Using AHP-ISM-MICMAC Integrated Hybrid MCDM Model," Mathematics, MDPI, vol. 11(15), pages 1-35, August.
    5. Han Lai & Huchang Liao & Jonas Šaparauskas & Audrius Banaitis & Fernando A. F. Ferreira & Abdullah Al-Barakati, 2020. "Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    6. Jana Stofkova & Matej Krejnus & Katarina Repkova Stofkova & Peter Malega & Vladimira Binasova, 2022. "Use of the Analytic Hierarchy Process and Selected Methods in the Managerial Decision-Making Process in the Context of Sustainable Development," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    7. Osama Abied & Othman Ibrahim & Siti Nuur-Ila Mat Kamal & Ibrahim M. Alfadli & Weam M. Binjumah & Norafida Ithnin & Maged Nasser, 2022. "Probing Determinants Affecting Intention to Adopt Cloud Technology in E-Government Systems," Sustainability, MDPI, vol. 14(23), pages 1-29, November.
    8. Agata Sudolska & Andrzej Lis & Róża Błaś, 2019. "Cloud Computing Research Profiling: Mapping Scholarly Community and Identifying Thematic Boundaries of the Field," Social Sciences, MDPI, vol. 8(4), pages 1-20, April.
    9. Yuquan Meng & Yuhang Yang & Haseung Chung & Pil-Ho Lee & Chenhui Shao, 2018. "Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review," Sustainability, MDPI, vol. 10(12), pages 1-28, December.
    10. Johannes Enzmann & Marc Ringel, 2020. "Reducing Road Transport Emissions in Europe: Investigating A Demand Side Driven Approach †," Sustainability, MDPI, vol. 12(18), pages 1-31, September.
    11. Assunta Di Vaio & Flavio Boccia & Loris Landriani & Rosa Palladino, 2020. "Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    12. Hiran, Kamal Kant & Dadhich, Manish, 2024. "Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order SEM-ANN analytical approach," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    13. Darell Edmond & Vijay Prakash & Lalit Garg & Seema Bawa, 2022. "Adoption of Cloud Services in Central Banks: Hindering Factors and the Recommendations for Way Forward," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(2), pages 123-143.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Severin Oesterle & Jan Jöhnk & Robert Keller & Nils Urbach & Xin Yu, 2020. "A contingency lens on cloud provider management processes," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1451-1489, November.
    2. Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    3. Thomas L. Saaty, 2013. "The Modern Science of Multicriteria Decision Making and Its Practical Applications: The AHP/ANP Approach," Operations Research, INFORMS, vol. 61(5), pages 1101-1118, October.
    4. Chetan A. Jhaveri & Jitendra M. Nenavani, 2020. "Evaluation of eTail Services Quality: AHP Approach," Vision, , vol. 24(3), pages 310-319, September.
    5. Xinyao Li & Lingzhi Wang & Bryan Pijanowski & Lingpeng Pan & Hichem Omrani & Anqi Liang & Yi Qu, 2022. "The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province," Land, MDPI, vol. 11(11), pages 1-16, November.
    6. Rivera González Gibrán & Cox Andrew M. & Flores Zambada Ricardo, 2012. "A human resources project implementation An actor-network theory perspective," Contaduría y Administración, Accounting and Management, vol. 57(3), pages 9-39, julio-sep.
    7. Andre Bender & Allan Din & Philippe Favarger & Martin Hoesli & Janne Laakso, 1997. "An Analysis of Perceptions Concerning the Environmental Quality of Housing in Geneva," Urban Studies, Urban Studies Journal Limited, vol. 34(3), pages 503-513, March.
    8. Karnes, Carol L. & Sridharan, Sri V & Kanet, John J., 1995. "Measuring quality from the consumer's perspective: A methodology and its application," International Journal of Production Economics, Elsevier, vol. 39(3), pages 215-225, May.
    9. Wei Wang & Shoujian Zhang & Yikun Su & Xinyang Deng, 2019. "An Empirical Analysis of the Factors Affecting the Adoption and Diffusion of GBTS in the Construction Market," Sustainability, MDPI, vol. 11(6), pages 1-24, March.
    10. Cristina López & Rocío Ruíz-Benítez & Carmen Vargas-Machuca, 2019. "On the Environmental and Social Sustainability of Technological Innovations in Urban Bus Transport: The EU Case," Sustainability, MDPI, vol. 11(5), pages 1-22, March.
    11. Sunday C. Eze & Vera C. A. Chinedu-Eze & Hart O. Awa, 2021. "Key Success Factors (KSFs) Underlying the Adoption of Social Media Marketing Technology," SAGE Open, , vol. 11(2), pages 21582440211, April.
    12. Mustafa Dinc, 2015. "Introduction to Regional Economic Development," Books, Edward Elgar Publishing, number 16749.
    13. Stanislav Shmelev & Harrison Roger Brook, 2021. "Macro Sustainability across Countries: Key Sector Environmentally Extended Input-Output Analysis," Sustainability, MDPI, vol. 13(21), pages 1-46, October.
    14. Ormerod, Richard J. & Ulrich, Werner, 2013. "Operational research and ethics: A literature review," European Journal of Operational Research, Elsevier, vol. 228(2), pages 291-307.
    15. Zeki Ayağ, 2016. "An integrated approach to concept evaluation in a new product development," Journal of Intelligent Manufacturing, Springer, vol. 27(5), pages 991-1005, October.
    16. Hartvigsen, David, 2005. "Representing the strengths and directions of pairwise comparisons," European Journal of Operational Research, Elsevier, vol. 163(2), pages 357-369, June.
    17. S. Lipovetsky, 2009. "Global Priority Estimation in Multiperson Decision Making," Journal of Optimization Theory and Applications, Springer, vol. 140(1), pages 77-91, January.
    18. Mohamed Hanine & Omar Boutkhoum & Tarik Agouti & Abdessadek Tikniouine, 2017. "A new integrated methodology using modified Delphi-fuzzy AHP-PROMETHEE for Geospatial Business Intelligence selection," Information Systems and e-Business Management, Springer, vol. 15(4), pages 897-925, November.
    19. Chun, Young H. & Sumichrast, Robert T., 2006. "A rank-based approach to the sequential selection and assignment problem," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1338-1344, October.
    20. Shang-Yung Yen & Shu-Mei Tang & Wei-Chih Wu, 2013. "An Investigation of Key Successful Factors of Biotechnological Industry Performance in Taiwan," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2952-:d:164649. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.