Document Type : Research Paper
Authors
1 Associate Professor, Faculty of Managment, Islamic Azad University South Branch, Tehran, Iran,
2 2. Ph.D. Student in Information Technology Management, Faculty of Managment, Islamic Azad University, South Branch, Tehran, Iran,
Abstract
Nowadays, with the development and growth of information and communication technologies, employees resist to adopt such technologies, leading to the failure of the implementation and operationalization of these kinds of new technologies. Given increased usage of cloud computing as a new paradigm of communication in organizations, the analysis of information systems users’ behavior is essential in organizations. This study uses the Technology Acceptance Model (TAM) presented by Davis to clarify the factors influencing technology acceptance and the decision to use cloud computing technology among IRIB employees. To do so, a structured questionnaire was designed and distributed among 230 IRIB personnel in the field of information technology. The calculated reliability using Cronbach method was 0.84. Then the exploratory and confirmatory factor analysis were performed. Based on path analysis coefficient it is confirmed that the most important factor influencing the decision to use cloud computing is perceived usefulness' factor. The obtained result could be employed as a guidelines by managers of the surveyed organization towards more effective decision making.
Keywords
عباسپور اسفدن، قنبر (1395)؛ اولویتبندی توانمند سازهای فناوری اطلاعات در سازمان‌های خدماتی با رویکرد تصمیمگیری چندمعیاره فازی، فصلنامه مطالعات مدیریت فناوری اطلاعات، سال پنجم، شماره 18، صفحات 193-217.
منتظری، الهام؛ موحدینیا، ناصر؛ طالبی هوشنگ (1395)؛ چالشها و موانع اجرای طرحهای جامع فناوری اطلاعات و ارتباطات در سازمانها، فصلنامه مطالعات مدیریت فناوری اطلاعات، سال پنجم، شماره 18، صفحات 160-128.
Alamae, S. H., & Moradi, A. (2015). Understanding of Real Investor Behavior by Information Disclosure in Computer Database in terms of TAM. Jurnal UMP Social Sciences and Technology Management Vol, 3(1).
Alharbi, S. T. (2012). Users’ acceptance of cloud computing in Saudi Arabia: an extension of technology acceptance model. International Journal of Cloud Applications and Computing (IJCAC), 2(2), 1-11.
Behrend, T. S., Wiebe, E. N., London, J. E., & Johnson, E. C. (2011). Cloud computing adoption and usage in community colleges. Behaviour & Information Technology, 30(2), 231-240.
Bharadwaj, S. S., & Lal, P. (2012, December). Exploring the impact of Cloud Computing adoption on organizational flexibility: A client perspective. In Cloud Computing Technologies, Applications and Management (ICCCTAM), 2012 International Conference on (pp. 121-131). IEEE.
Chen, S. C., Shing-Han, L., & Chien-Yi, L. (2011). Recent related research in technology acceptance model: A literature review. Australian Journal of Business and Management Research, 1(9), 124.
Chuttur, M. Y. (2009). Overview of the technology acceptance model: Origins, developments and future directions. Working Papers on Information Systems, 9(37), 9-37.
Davis Jr, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
El-Gazzar, R. F. (2014). A Literature Review on Cloud Computing Adoption Issues in Enterprises. In Creating Value for All Through IT (pp. 214-242). Springer Berlin Heidelberg.
Fung, H. P. (2013). Using Porter Five Forces and Technology Acceptance Model to Predict Cloud Computing Adoption Among IT Outsourcing Service Providers. Internet Technologies and Applications Research ITAR, 1(2), 18-24.
Gupta, P., Seetharaman, A., & Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861-874.
Hsu, P. F., Ray, S., & Li-Hsieh, Y. Y. (2014). Examining cloud computing adoption intention, pricing mechanism, and deployment model. International Journal of Information Management, 34(4), 474-488.
Islam, S. S., Mollah, M. B., Huq, M. I., & Ullah, M. A. (2012, May). Cloud computing for future generation of computing technology. In Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012 IEEE International Conference on (pp. 129-134). IEEE.
Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial management & data systems, 111(7), 1006-1023.
Mousavi Shoshtari, S. F. (2013). Cloud Computing Adoption in Iran as a Developing Country-A Tentative Framework Based on Experiences from Iran.
Nkhoma, M. Z., Dang, D. P., & De Souza-Daw, A. (2013, May). Contributing factors of cloud computing adoption: a technology-organisation-environment framework approach. In Proceedings of the European Conference on Information Management & Evaluation (pp. 180-189).
Oliveira, T., & Martins, M. F. (2010, September). Information technology adoption models at firm level: review of literature. In European Conference on Information Management and Evaluation (p. 312). Academic Conferences International Limited.
Opitz, N., Langkau, T. F., Schmidt, N. H., & Kolbe, L. M. (2012, January). Technology acceptance of cloud computing: empirical evidence from German IT departments. In System Science (HICSS), 2012 45th Hawaii International Conference on (pp. 1593-1602). IEEE.
Park, E., & Kim, K. J. (2014). An integrated adoption model of mobile cloud services: exploration of key determinants and extension of technology acceptance model. Telematics and Informatics, 31(3), 376-385.
Park, N., Rhoads, M., Hou, J., & Lee, K. M. (2014). Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model. Computers in Human Behavior, 39, 118-127.
Ratten, V. (2012). Entrepreneurial and ethical adoption behaviour of cloud computing. The Journal of High Technology Management Research, 23(2), 155-164.
Stantchev, V., Colomo-Palacios, R., Soto-Acosta, P., & Misra, S. (2014). Learning management systems and cloud file hosting services: A study on students’ acceptance. Computers in Human Behavior, 31, 612-619.
Steenkamp, J. B. E., & Van Trijp, H. C. (1991). The use of LISREL in validating marketing constructs. International Journal of Research in marketing, 8(4), 283-299.
Valmohammadi, C. (2012). Investigating the perceptions of Iranian employees on teleworking. Industrial and commercial Training, 44(4), 236-241.
Yuvaraj, M. (2014). Examining librarians’ behavioural intention to use cloud computing applications in Indian central universities. Annals of Library and Information Studies (ALIS), 60(4), 260-268.
عباسپور اسفدن، قنبر (1395)؛ اولویتبندی توانمند سازهای فناوری اطلاعات در سازمان‌های خدماتی با رویکرد تصمیمگیری چندمعیاره فازی، فصلنامه مطالعات مدیریت فناوری اطلاعات، سال پنجم، شماره 18، صفحات 193-217.
منتظری، الهام؛ موحدینیا، ناصر؛ طالبی هوشنگ (1395)؛ چالشها و موانع اجرای طرحهای جامع فناوری اطلاعات و ارتباطات در سازمانها، فصلنامه مطالعات مدیریت فناوری اطلاعات، سال پنجم، شماره 18، صفحات 160-128.
Alamae, S. H., & Moradi, A. (2015). Understanding of Real Investor Behavior by Information Disclosure in Computer Database in terms of TAM. Jurnal UMP Social Sciences and Technology Management Vol, 3(1).
Alharbi, S. T. (2012). Users’ acceptance of cloud computing in Saudi Arabia: an extension of technology acceptance model. International Journal of Cloud Applications and Computing (IJCAC), 2(2), 1-11.
Behrend, T. S., Wiebe, E. N., London, J. E., & Johnson, E. C. (2011). Cloud computing adoption and usage in community colleges. Behaviour & Information Technology, 30(2), 231-240.
Bharadwaj, S. S., & Lal, P. (2012, December). Exploring the impact of Cloud Computing adoption on organizational flexibility: A client perspective. In Cloud Computing Technologies, Applications and Management (ICCCTAM), 2012 International Conference on (pp. 121-131). IEEE.
Chen, S. C., Shing-Han, L., & Chien-Yi, L. (2011). Recent related research in technology acceptance model: A literature review. Australian Journal of Business and Management Research, 1(9), 124.
Chuttur, M. Y. (2009). Overview of the technology acceptance model: Origins, developments and future directions. Working Papers on Information Systems, 9(37), 9-37.
Davis Jr, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
El-Gazzar, R. F. (2014). A Literature Review on Cloud Computing Adoption Issues in Enterprises. In Creating Value for All Through IT (pp. 214-242). Springer Berlin Heidelberg.
Fung, H. P. (2013). Using Porter Five Forces and Technology Acceptance Model to Predict Cloud Computing Adoption Among IT Outsourcing Service Providers. Internet Technologies and Applications Research ITAR, 1(2), 18-24.
Gupta, P., Seetharaman, A., & Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861-874.
Hsu, P. F., Ray, S., & Li-Hsieh, Y. Y. (2014). Examining cloud computing adoption intention, pricing mechanism, and deployment model. International Journal of Information Management, 34(4), 474-488.
Islam, S. S., Mollah, M. B., Huq, M. I., & Ullah, M. A. (2012, May). Cloud computing for future generation of computing technology. In Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012 IEEE International Conference on (pp. 129-134). IEEE.
Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial management & data systems, 111(7), 1006-1023.
Mousavi Shoshtari, S. F. (2013). Cloud Computing Adoption in Iran as a Developing Country-A Tentative Framework Based on Experiences from Iran.
Nkhoma, M. Z., Dang, D. P., & De Souza-Daw, A. (2013, May). Contributing factors of cloud computing adoption: a technology-organisation-environment framework approach. In Proceedings of the European Conference on Information Management & Evaluation (pp. 180-189).
Oliveira, T., & Martins, M. F. (2010, September). Information technology adoption models at firm level: review of literature. In European Conference on Information Management and Evaluation (p. 312). Academic Conferences International Limited.
Opitz, N., Langkau, T. F., Schmidt, N. H., & Kolbe, L. M. (2012, January). Technology acceptance of cloud computing: empirical evidence from German IT departments. In System Science (HICSS), 2012 45th Hawaii International Conference on (pp. 1593-1602). IEEE.
Park, E., & Kim, K. J. (2014). An integrated adoption model of mobile cloud services: exploration of key determinants and extension of technology acceptance model. Telematics and Informatics, 31(3), 376-385.
Park, N., Rhoads, M., Hou, J., & Lee, K. M. (2014). Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model. Computers in Human Behavior, 39, 118-127.
Ratten, V. (2012). Entrepreneurial and ethical adoption behaviour of cloud computing. The Journal of High Technology Management Research, 23(2), 155-164.
Stantchev, V., Colomo-Palacios, R., Soto-Acosta, P., & Misra, S. (2014). Learning management systems and cloud file hosting services: A study on students’ acceptance. Computers in Human Behavior, 31, 612-619.
Steenkamp, J. B. E., & Van Trijp, H. C. (1991). The use of LISREL in validating marketing constructs. International Journal of Research in marketing, 8(4), 283-299.
Valmohammadi, C. (2012). Investigating the perceptions of Iranian employees on teleworking. Industrial and commercial Training, 44(4), 236-241.
Yuvaraj, M. (2014). Examining librarians’ behavioural intention to use cloud computing applications in Indian central universities. Annals of Library and Information Studies (ALIS), 60(4), 260-268.
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