eISSN: 3087-4041 editor@aimjournals.com
All Journals
Submit your article

The Pinnacle Research Journal of Scientific and Management Sciences

Open Access Peer Review International
Open Access

An Empirical Framework for Evaluating Determinants of Cloud Computing Integration in SMEs Using SEM: A Study in Multan, Pakistan

DOI
PDF
Dr. Aiko Sato 1 , Dr. Kenji Watanabe 1 ,
4 School of Information Science Osaka University, Pakistan
4 Department of Data Engineering Tohoku University, Pakistan

Abstract

Cloud computing has emerged as a transformative technological paradigm enabling small and medium enterprises (SMEs) to enhance operational efficiency, scalability, and innovation capacity. However, despite its potential, the adoption and integration of cloud computing among SMEs remain uneven, particularly in developing regions such as Pakistan. This study develops and empirically validates a Structural Equation Modeling (SEM)-based framework to evaluate the determinants influencing cloud computing integration in SMEs in Multan, Pakistan. Grounded in established theoretical models such as the Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Value-Belief-Norm (VBN) theory, the study examines key constructs including perceived usefulness, perceived ease of use, organizational readiness, environmental pressure, and behavioral intention. Data collected from SME managers and IT decision-makers were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that perceived usefulness, organizational capability, and external environmental factors significantly influence adoption intention, while perceived ease of use indirectly affects integration through behavioral intention. The study contributes a validated empirical framework tailored to developing economies and offers practical insights for policymakers and SME stakeholders to enhance digital transformation initiatives.

Keywords

Cloud Computing, SMEs, Structural Equation Modeling, Technology Adoption

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and HumanDecision Processes, 50(2), 179-211.
Aman, S., Aziz, N., & Abbas, M. (2023). Student satisfaction in higher education: A systematic review examining its impact on institutional growth and comparative dimensions. Journal of AppliedMath, 1(3).
Awais, M., Fatima, T., & Awan, T. M. (2022). Assessing behavioral intentions of solar energy usage through value-belief-norm theory. Management of EnvironmentalQuality: An International Journal, 33(6), 1329-1343.
Awan, A. G., & Hashmi, S. (2014). Marketing practices of small & medium size enterprises: A case study of SME’s in Multan District. European journal of business and innovation research, 2(6), 9-20.
Awan, T. M., & Awais, M. (2023). Post-Pandemic Business Scenario: Outlining HR Challenges in the Tourism Sector. In Human Resource Management in a Post-EpidemicGlobal Environment(pp. 331-355): Apple Academic Press.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Gupta, C., Fernandez-Crehuet, J. M., & Gupta, V. (2022). Measuring impact of cloud computing and knowledge management in software development and innovation. Systems, 10(5), 151.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24.
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook: Springer Nature.
Hassan, A., Bhatti, S. H., Shujaat, S., & Hwang, Y. (2022). To adopt or not to adopt? The determinants of cloud computing adoption in information technology sector. Decision Analytics Journal, 5, 100138.
Hussein, K., Kassim, M., & Ali, M. (2022). Cloud Computing Acceptance in Small and Medium Enterprises (SMEs) in Uganda. Saudian Review of Financial Technology and Management Studies, 2(1), 1-10.
Jeyaraj, A., Dwivedi, Y. K., & Venkatesh, V. (2023). Intention in information systems adoption and use: Current state and research directions.73, 102680.
Khayer, A., Jahan, N., Hossain, M. N., & Hossain, M. Y. (2021). The adoption of cloud computing in small and medium enterprises: a developing country perspective. VINE Journal of Information and Knowledge Management Systems, 51(1), 64-91.
Ma, Y., & Luo, M. (2024). Older people's intention to use medical apps during the COVID-19 pandemic in China: an application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model and the Technology of Acceptance Model (TAM). Ageing & Society, 44(7), 1515-1532.
Mohammad, A., & Abbas, Y. (2024). Key Challenges of Cloud Computing Resource Allocation in Small and Medium Enterprises. Digital, 4(2), 372-388.
Nosheen, A., Omar, M. A., & Hashim, K. F. (2025). Investigating the Determinants of Cloud Computing-Software as a Service Adoption in Pakistani SMEs from the Perspective of SME Managers. Journal of Advanced Research Design, 127(1), 32-48.
Park, E. S., & Park, M. S. (2020). Factors of the technology acceptance model for construction IT. Applied Sciences, 10(22), 8299.
Premkumar, G., & Roberts, M. (1999). Adoption of new information technologies in rural small businesses. Omega, 27(4), 467-484.
Raza, F., Raza, R., Saeed, M., & Arshed, N. (2014). Cloud computing technology adoption challenges and solutions in Pakistan. International Journal, 8.
Riaz, N. (2025).Values and norms as drivers of pro-environmental behavior in tourists: A sustainable tourism perspective. Journal of Management Science (JMAS), 8(2), 494-503.
Riaz, N., & Awais, M. (2024). Assessing Pro-Environmental Behaviour toward Solar Energy using Norm Activation Model and Social Influence. Educational Research (IJMCER), 6(6), 253-262.

Similar Articles

1-10 of 16

You may also start an advanced similarity search for this article.