Framework for Cloud Computing Adoption in the Malaysian and Libyan Hospitality Industry

International Journal of Business Society, Vol. 8, Issue 1
Riyad AlsewieDr. Md Gapar Md JoharDr. Asif Iqbal Hajamydeen
Technological factorsOrganizational factorsEnvironmental factorsCloud computing adoption decisionHospitality Industry LibyaMalaysia
PDFRegular IssueDOI: 10.30566/ijo-bs/2024.01.119
8Volume
1Issue

Abstract

Cloud computing, a paradigm that provides on-demand network access to a shared pool of configurable computing resources, is revolutionizing various sectors. Cloud computing supports the hospitality industry by offering scalable, on-demand resources that enable streamlined operations, personalized customer experiences, and cost-effective infrastructure management. This paper provides a comprehensive explanation to address the challenges associated with cloud computing adoption in the Malaysian and Libyan hospitality industries while focusing on providing a comprehensive framework for successful cloud computing adoption in the hospitality industry. It also provides literature and definitions with regard to the desired variables. It proposes a conceptual framework that can be applied within Malaysian and Libyan hospitality industries. The conceptual framework explains technological factors, organizational factors, environmental factors, perceived usefulness, and perceived ease of use, with respect to cloud computing adoption decision.

References

[1]

Ahmed, I. (2020). Technology organization environment framework in cloud computing. TELKOMNIKA (Telecommunication Computing Electronics and Control), 18(2), 716-725.

[2]

Ainoo, O.A.O. and Nkrumah, T.K., 2022. Assessing the Influence of Adopting Innovative Accounting Information System in Small and Medium Scale Enterprises in Ghana. The International Journal of Business & Management, 10(7).

[3]

Al-Ruithe, M., Benkhelifa, E., & Hameed, K. (2018). Key issues for embracing the cloud computing to adopt a digital transformation: A study of saudi public sector. Procedia computer science, 130, 1037-1043.

[4]

Asiaei, A., & Ab. Rahim, N. Z. (2019). A multifaceted framework for adoption of cloud computing in Malaysian SMEs. Journal of Science and Technology Policy Management, 10(3), 708-750.

[5]

Badie, N., Hussin, A. R. C., Yadegaridehkordi, E., Singh, D., & Lashkari, A. H. (2022). A SEM-STELLA approach for predicting decision-makers’ adoption of cloud computing data center. Education and Information Technologies, 1-53.

[6]

Benlian, A., Kettinger, W. J., Sunyaev, A., Winkler, T. J., & Guest Editors. (2018). The transformative value of cloud computing: a decoupling, platformization, and recombination theoretical framework. Journal of management information systems, 35(3), 719-739.

[7]

Borgman, H. P., Bahli, B., Heier, H., & Schewski, F. (2013). Cloudrise: exploring cloud computing adoption and governance with the TOE framework. In 2013 46th Hawaii international conference on system sciences (pp. 4425-4435). IEEE.

[8]

Branco Jr, T., de Sá -Soares, F., & Rivero, A. L. (2017). Key issues for the successful adoption of cloud computing. Procedia computer science, 121, 115-122.

[9]

Chelliah, T.D. and Chan, L.M., (2022). Ethical decision intention of first-line managers: Case study in Malaysia hotel industry. Asian Management and Business Review, pp.147-161.

[10]

Gangwar, H., Date, H., & Ramaswamy, R. (2015a). Developing a cloud -computing adoption framework. Global Business Review, 16(4), 632-651.

[11]

Gangwar, H., Date, H., & Ramaswamy, R. (2015b). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of enterprise information management.

[12]

Khan, N., & Al-Yasiri, A. (2016). Framework for cloud computing adoption: A road map for Smes to cloud migration. arXiv preprint arXiv:1601.01608.

[13]

Lai, W. C., & Hung, W. H. (2018). A framework of cloud and AI-based intelligent hotel.

[14]

Lehrig, S., Eikerling, H., & Becker, S. (2015). Scalability, elasticity, and efficiency in cloud computing: A systematic literature review of definitions and metrics. In Proceedings of the 11th international ACM SIGSOFT conference on quality of software architectures (pp. 83-92).

[15]

Maelah, R., Al Lami, M.F.F. and Ghas, G., (2021). Usefulness of management accounting information in decision making among SMEs: the moderating role of cloud computing. Asia-Pacific Management Accounting Journal, 16(1), pp.59-92.

[16]

Sadeeq, M. M., Abdulkareem, N. M., Zeebaree, S. R., Ahmed, D. M., Sami, A. S., & Zebari, R. R. (2021). IoT and Cloud computing issues, challenges and opportunities: A review. Qubahan Academic Journal, 1(2), 1-7.

[17]

Saedi, A. (2016). Cloud computing adoption framework: Innovation translation approach. In 2016 3rd International Conference on Computer and Information Sciences (ICCOINS) (pp. 153-157). IEEE.

[18]

Senyo, P. K., Effah, J., & Addae, E. (2016). Preliminary insight into cloud computing adoption in a developing country. Journal of enterprise information management.

[19]

Sharma, M., Antony, R., Sehrawat, R., Cruz, A.C. and Daim, T.U. (2022). Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector/online travel services. Technology in Society, 68, 101781.

[20]

Sharma, M., Gupta, R., & Acharya, P. (2021). Analysing the adoption of cloud computing service: A systematic literature review. Global Knowledge, Memory and Communication, 70(1/2), 114-153.

[21]

Willie, P. (2019). Can all sectors of the hospitality and tourism industry be influenced by the innovation of blockchain technology?. Worldwide Hospitality and Tourism Themes.

[22]

Zbořil, M., & Svatá, V. (2022). Cloud Adoption Framework. Procedia Computer Science, 207, 483-493.

Article Information

Article Details
Volume & IssueVol. 8, Iss. 1
Publication DateJan 31, 2024
Authors
Riyad Alsewie
Dr. Md Gapar Md Johar
Dr. Asif Iqbal Hajamydeen
DOI
10.30566/ijo-bs/2024.01.119
PDF Download
Framework for Cloud Computing Adoption in the Malaysian and Libyan Hospitality Industry | International Journal of Business Society