Hossein KardanMoghaddam, Amir Rajaei, Seyedeh Fatemeh Fatemi

DOI Number
First page
Last page


As using cloud computing develops, one of the problems that managers face at the organization level is that the personnel cannot work with these systems, users do not accept these new systems and the problem of accepting these technologies, effective factors in accepting them and the existing barriers in accepting them by users are very important. In many organizations wherein cloud computing has been launched, a time period is required to accept this new system by their personnel. If this time period is less and the personnel can work with these systems earlier, the productivity increases in the organization. The present paper aims the analysis of effective factors on acceptance of cloud computing by personnel working in Birjand International Airport in South Khorasan County (Iran) based on Roger’s diffusion of innovation theory. Examination of effective factors on acceptance of cloud computing in an organization can pave the way for improving its implementation and performance. This research has been done by descriptive survey method and its community includes personnel working in different official and informatics departments of Birjand International Airport. The data gathering instrument was questionnaire and for determining questionnaire validity opinions of masters and for determining consistency Cronbach's alpha has been used. For data analysis descriptive and inferential statistics have been used. The results of present paper indicated that there is meaningful and positive relationship between acceptance features of cloud computing and perception elements of testability, comparative advantage, visibility, complexity, and compatibility of cloud computing with its acceptance rate and there is meaningful and negative relationship between features of perception of not needing cloud computing and its acceptance rate. But there was no meaningful relationship between perception of cloud computing test opportunity and its acceptance rate. As one of the modern ways of providing electronic service has been cloud computing in recent years and it has many benefits for air transportation systems, this paper presents a model for analysis of effective factors in acceptance of cloud computing among personnel of an airline company (airport) and it can be used for examining cloud acceptance in other air companies.


Cloud Computing, IT, Computing Services, Roger’s Diffusion of Innovation Theory, Adoption of Cloud Computing

Full Text:



Y. A. Qasem, R. Abdullah, Y. Y. Jusoh, R. Atan, & S. Asadi, “Cloud Computing Adoption in Higher Education Institutions: A Systematic Review”, IEEE Access, vol. 7, pp. 63722–63744, 2019.

V. I. Chang, “A proposed framework for cloud computing adoption”, In Sustainable Business: Concepts, Methodologies, Tools, and Applications, IGI Global, pp. 978–1003, 2020.

W. Yaokumah, & R. A. Amponsah, “Examining the contributing factors for cloud computing adoption in a developing country”, In Cloud Security: Concepts, Methodologies, Tools, and Applications, IGI Global, pp. 1663–1685, 2019

P. Mell & T. Grance, “The NIST Definition of Cloud Computing. NIST”, (Accessed:

gov/publications/nistpubs/800-145/sp800-145.pdf), 2011.

Sun Microsystems. 2009. Introduction to Cloud Computing architecture (White Paper). Sun Microsystems.

M. Armbrust et al, “Above the clouds: a Berkeley view of cloud computing”, UC Berkeley Technical Report, 2009

V. Ghobadpour, N. Naghshineh, A. Sabetpour, “From Cloud Computing to Cloud Library: Proposing Cloud Model to configure Future Libraries”, Iranian Journal of Information Processing and Management, vol. 28, no. 4, pp. 859–877, 2014.

M. Wright and D. Charlett, “New Product Diffusion Models in Marketing: An Assessment of two Approaches”, Marketing Bulletin, vol. 6, pp. 32–41, Article 4, 1995.

V. Venkatesh, M. G. Morris, G. B. Davis & F. D. Davis, “User acceptance of information technology: Toward a unified view”, MIS quarterly, pp. 425–478, 2003.

H. Kardan Moghaddam and B. Aghdas Asghari, “Comparison of Media and Digital Knowledge among University of Technology Birjand (Iran), Pune in India and University of Liege in Belgium”, Asian Journal of Information Technology, vol. 14, pp. 268–272, 2015.

M. Fishbein, & I. Ajzen, Belief, attitude, intention and behavior: An introduction to theory and research, 1975.

I. Ajzen, “The theory of planned behavior”, Organizational behavior and human decision processes, vol. 50, no. 2, pp. 179–211, 1991.

F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS quarterly, pp. 319–340, 1989.

L. Tornatzky, & M. Fleischer, The processes of technological innovation, 1990.

E. M. Rogers, Diffusion of innovations: Simon and Schuster, 2010.

T. Oliveira, M. Thomas & M. Espadanal, “Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors,” Information & Management, pp. 497–502, 2014.

H. F. Lin, “Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework”, Technological Forecasting & Social Change, pp. 80–92, 2014.

M. Stieninger, D. Nedbal, W. Wetzlinger, G. Wagner, & M. A. Erskine, “Impact on the organizational adoption of cloud computing: A reconceptualization of influencing factors”, Procedia technology, vol. 16, pp. 58–93, 2014.

T. Kihara, & D. Gichoya, “Adoption and use of cloud computing in small and medium enterprises in Kenya”, In Proceedings of the the IST-Africa Conference and Exhibition (IST-Africa), 2013.

Felix N. Njeh, “Cloud Computing: An Evaluation of the Cloud Computing Adoption and Use Model”, DOCTOR OF SCIENCE IN COMPUTER SCIENCE Department of Computer Science College of Arts and Science A dissertation Submitted to the Graduate School Bowie State University, 2014.

B. Bernstein, and P. J. Singh, “Innovation generation process: Applying the adopter categorization model and concept of “chasm” to better understand social and behavioral issues”, European Journal of Innovation Management, vol. 11, no. 3, pp. 366–388.

H. Gangwar, H. Date, & R. Ramaswamy, “Understanding determinants of cloud computing adoption using an integrated TAM-TOE model”, Journal of Enterprise Information Management, vol. 28, no. 1, pp. 107–130, 2015.

E. Rogers, Diffusion of Innovations (4 ed.). New York: The Free press, 1995.

N. Ebadolahi, M. Cheshmeh Sohrabi, F. Nooshinfard, “Analysis of technological factors influencing on adoption based on Rogers' diffusion of innovation theory: Case study”, Namaye Nashryat software, vol. 7, no. 26, pp. 79–92, 2014.

E. Rogers, and F. F. Shoemaker, “Communication of innovations: A cross-cultural approach, 2nd ed.”, 1971.

E.M. Rogers, Diffusion of Innovations, 5th ed., Free Press, New York, NY, 2003.

T. S. Behrend, E. N. Wiebe, J. E. London, & E. C. Johnson, “Cloud computing adoption and usage in community colleges”, Behaviour & Information Technology, vol. 30, no. 2, pp. 231–240, 2011.

N. Opitz, T. F. Langkau, N. H. Schmidt, & L. M. Kolbe, “Technology acceptance of cloud computing: empirical evidence from German IT departments”, In Proceedings of the IEEE 45th Hawaii International Conference on System Science (HICSS), pp. 1593–1602, 2012.

S. T. Alharbi, “Users’ acceptance of cloud computing in Saudi Arabia: an extension of technology acceptance model”, International Journal of Cloud Applications and Computing (IJCAC), vol. 2, no. 2, pp. 1–11, 2012.

M. Akbari, M.C. Sohrabi, E.A. Zanjani, “Analysis of search engines and meta search engines' position by university of isfahan users based on rogers' diffusion of innovation theory”, Iranian Journal of Information Processing Management, vol. 27, no. 4, pp. 961–984, 2012.

L. Luo, “Reference librarians’ Adoption of cloud computing technologies: An exploratory study”, Internet Reference Services Quarterly, vol. 17, no. 3-4, pp. 147–166, 2012.

G. R. Heidari, M. Bagher, A. Aghdam, A. Hamdipour, “Factors affecting the adoption of Electronic Information Resources (EIR) by Iranian knowledge and Information science faculty members, based on Roger's Diffusion of Innovation Theory”, Library and Information Science, vol. 16, no. 3, 2013, (In Persian).

H. P. Fung, “Using Porter Five Forces and Technology Acceptance Model to Predict Cloud Computing Adoption Among IT Outsourcing Service Providers”, Internet Technologies and Applications Research ITAR, vol. 1, no. 2, pp. 18–24, 2013.

L. Sun, H. Dong, F. Khadeer Hussain, O. Khadeer Hussain, E. Chang, “Cloud service selection: State-of-the-art and future research directions”, Journal of Network and Computer Application, vol. 45, pp. 134–150, 2014.

M. Yuvaraj, “Examining librarians’ behavioural intention to use cloud computing applications in Indian central universities”, Annals of Library and Information Studies (ALIS), vol. 60, no. 4, pp. 260–268, 2014.

R. Rai, G. Sahoo, and S. Mehfuz, “Exploring the factors influencing the cloud computing adoption: a systematic study on cloud migration,” Springerplus, vol. 4, no. 1, p. 197, 2015.

G. Mangai, P. Ganesan, & Kumar D. Kirana, “A Perspective study of cloud computing in library services”, In Proceedings of the International Conference on Library Space and Content Management for Networked Society, (IC.LISCOM-2014), 18-20 October 2014, under the auspices of DVK Central Library, Dharmaram Vidya Kshetram, Bangalore.

B. Scholtz, J. Govender, & J. M. Gomez, “Technical and Environmental Factors Affecting Cloud Computing Adoption in the South African Public Sector”, In Proceedings of the International Conference on Information Resources, 2016.

C. Valmohammadi, M. Mazaheri, “Clarification of factors affecting the decision to use cloud computing among IRIB employees based on a Technology Acceptance Model”, IT Management Studies, vol. 5, no. 19, pp. 105–124, 2017.

M. Yuvaraj, “Ascertaining the factors that influence the acceptance and purposeful use of cloud computing in medical libraries in India", New Library World, vol. 117, no. 9/10, pp. 644–658, 2016

J.H. Dahooie, N. Mohammadi, A. Vanaki, & M. Jamali, “Developing Proper Systems for Successful Cloud Computing Implementation Using Fuzzy ARAS Method (Case Study: University of Tehran Faculty of New Science and Technology)”, Journal of Information Technology Management, vol. 9, no. 4, pp. 759–786, 2017.

H. M. Sabi, F. M. E. Uzoka, K. Langmia, F. N. Njeh, & C. K. Tsuma, “A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa”, Information Systems Frontiers, vol. 20, no. 6, pp. 1381–1404, 2018.

C. Changchit, & C. Chuchuen, “Cloud computing: an examination of factors impacting users’ adoption”, Journal of Computer Information Systems, vol. 58, no. 1, pp. 1–9, 2018.

Elzamly, A., Messabia, N., Doheir, M., Mahmoud, A., Basari, A. S. B. H., Selmiya, N. A., & Al-Shami, S. S. A. (2019). Adoption of Cloud Computing model for Managing e-Banking System in Banking Organizations. International Journal of Advanced Science and Technology, 28(1), 318–326. Retrieved from

E. Alidoust Ghahfarokhi, A. Safarpour, & A. Amani Samani, “Identifying Effective Factors in Cloud Computing Adoption among Staff of Physical Education Faculties in Tehran”, Journal of Human Resource Management in Sport, vol. 7, no. 2, pp. 245–263, 2020.

A. Albelaihi, N. Khan, “Top Benefits and Hindrances to Cloud Computing Adoption in Saudi Arabia: A Brief Study”, Journal of Information Technology Management, vol.12, no. 2, pp. 107–122, 2020.

D. H. Tesema, “Cloud computing adoption challenge in case of commercial bank of Ethiopia”, International Journal of Development Research, vol. 10, no. 1, pp. 33562–33565, 2020.

O. Ali, A. Shrestha, M. Ghasemaghaei, et al., “Assessment of Complexity in Cloud Computing Adoption: a Case Study of Local Governments in Australia”, Inf Syst Front, 2021.

A. Farmanlu Lilab, “Analysis of the affecting factors on cloud computing adoption of the University of Tabriz and Medical sciences based on Rogers diffusion of innovation theory”, Journal of Academic librarianship and Information Research, vol. 52, no. 4, pp. 39–58, 2019

A. Hamdipour, R. Zavaraqi, “Investigation of factors affecting the adoption research information management system (SIMAP) by faculty members of the Tabriz University: Application of innovations diffusion theory”, Library and Information Sciences, vol. 21, no. 2, pp. 131–164, 2018.

F. Nazari, F. Khosravi, F. Babolhavaeji, (2012), “Characteristics of Online Database Perceptions and its Compliance by Female Faculty Members”, Scientific Research Quarterly of Woman and Culture, vol. 4, no. 13, pp. 95–107, 2012 (In Persian).

T. Do, “Rogers’ five main attributes of innovation on the adoption rate of online learning Hawaii pacific university”, Dissertation MA, 2008.

S. A. Al-Gahtani, “Computer Technology Success Factors in Saudi Arabia: An Exploratortudy”, Journal of Global Information Technology Management, vol. 7, no. 1, pp. 5-29, 2004.


  • There are currently no refbacks.

ISSN: 0353-3670 (Print)

ISSN: 2217-5997 (Online)

COBISS.SR-ID 12826626