Weitere Artikel dieser Ausgabe durch Wischen aufrufen
This research is one of the first few to investigate the adoption and usage of cloud computing in higher education in the context of developing countries, in this case Thailand. It proposes extending the technology acceptance model to integrate subjective norm, perceived convenience, trust, computer self-efficacy, and software functionality in order to better understand the degree of influence that each has on the adoption of cloud in an educational setting. The instrument development was modified from past studies on technology adoption. Data was collected from two leading universities in Thailand, Mahidol University International College, and Thammasat University. Structural equation modeling was applied to the research, the results of which illustrated that perceived ease of use, perceived usefulness, intention to use, perceived convenience, trust, and software functionality have a statistically positive relationship towards the adoption of cloud computing. However, it is interesting to note that, contrary to most studies, computer self-efficacy and subjective norm did not posit a positive relationship. The research also presents the conclusions, which include a discussion of the findings, the academic and practical implications, and limitations.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. CrossRef
Agarwal, R., Sambamurthy, V., & Stair, R. M. (2000). The evolving relationship between general and specific computer self-efficacy: an empirical assessment. Information Systems Research, 11(4), 418–430. CrossRef
Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215. CrossRef
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs: Prentice Hall.
Al-Gahtani, S. (2001). The applicability of TAM outside North America: an empirical test in the United Kingdom. Information Resources Management Journal, 14(3), 37–46. CrossRef
Amoako-Gyampah, K. (2007). Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation. Computers in Human Behavior, 23(3), 1232–1248. CrossRef
Asavakovitkorn, K. (2014). Visualization & Cloud Computing. Available at: http://www.cisco.com/web/TH/about/articles/virtualisation.html. Accessed 9 Mar 2014.
Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs: Prentice Hall.
Bangkok Technology Forum, (2013). Available at: http://www.bangkoktechnologyforum.com/. Accessed 9 Mar 2014.
Bertrand, M., & Bouchard, S. (2008). Applying the technology acceptance model to VR with people who are favorable to its use. Journal of Cyber Therapy & Rehabilitation, 1(2), 200–210.
Bhatiasevi, V., & Krairit, D. (2013). Acceptance of opens source software amongst Thai users: an integrated model approach. Information Development, 29(4), 349–366. CrossRef
Buyya, R., Yeo, C. S., & Venugopal, S. (2008). Market-oriented cloud computing: Vision, hype, and reality for delivering it services as computing utilities. Future Generation Computer Systems, 25(6), 599–616. CrossRef
Cantu, A. (2011). The history and future of cloud computing. Available at: http://www.forbes.com/sites/dell/2011/12/20/the-history-and-future-of-cloud-computing/. Accessed Jan 10 2014.
Chang, C. C., Yan, C. F., & Tseng, J. H. (2012). Perceived convenience in an extended technology acceptance model: mobile technology and english learning for college students. Australasian Journal of Educational Technology, 28(5), 809–826. CrossRef
Chun, W. (2012). What is cloud computing? Available at: https://developers.google.com/appengine/training/intro/whatiscc. Accessed 20 Dec 2013.
Cloud Security Alliance. (2013). Cloud Security Alliance and Electronic Government Agency (EGA) of Thailand partner to drive cloud computing adoption in the Association of Southeast Asian Nations. Available at: https://cloudsecurityalliance.org/media/news/csa-electronic-government-agency-ega-of-thailand-partner/ Accessed 15 Nov 2013.
Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: development of a measure and initial test. MIS Quarterly, 19(2), 189–211. CrossRef
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340. CrossRef
Davis, F. D., Boozy, R. P., & Warsaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982–1003. CrossRef
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task-technology fit constructs. Information and Management, 36(1), 9–21. CrossRef
Duffy, J. (2013). The best cloud storage solutions. Available at: http://www.pcmag.com/article2/0,2817,2413556,00.asp. Accessed 2 Feb 2014.
Ercan, T. (2010). Effective use of cloud computing in education institutions. Procedia Social and Behavioral Sciences, 2(2), 938–942. CrossRef
EGA, e-Government Agency, (n.d.). Government cloud Service. Available at: http://www.ega.or.th/Content.aspx?m_id=94. Accessed 9 Mar 2014.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading: Addison-Wesley.
Fornell, C., & Larcker, D. (1981). Structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. CrossRef
Foster, I., Zhao, Y., Raicu, I., & Lu, S. (2008). Cloud computing and grid computing 360-degree compared. Grid Computing Environments Workshop, 2008, 1–10.
Gefen, D., Straub, D. W., & Boudreau, M. C. (2000). Structural equation modeling and regression: guidelines for research practice. Communication of AIS, 4(7), 2–77.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: an integrated model. MIS Quarterly, 27(1), 51–90.
Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, 25(2), 186–192. CrossRef
Guriting, P., & Ndubisi, N. O. (2006). Borneo online banking: evaluating customer perceptions and behavioral intention. Management Research News, 29(1/2), 6–15. CrossRef
Hair, J. F., Jr., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Upper Saddle River: Prentice Hall.
Hasan, B. (2007). Examining the effects of computer self-efficacy and system complexity on technology acceptance. Information Resources Management Journal, 20(3), 76–88. CrossRef
Hatcher, L. (1994). A step-by-step approach to using the SAS system for factor analysis and structural equation modeling. Cary: SAS Institute, Inc.
Hsu, C. L., & Lu, H. P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information and Management, 41(7), 853–868. CrossRef
Hu, P. J., Chau, P. Y. K., Sheng, O. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91–112. CrossRef
ISO-IEC 9126–1 (2001) Software engineering – Product quality – Part 1; quality model.
Keesookpun, C., and Mitomo, H. (2012). Cloud computing adoption and determining factors in different industries: A case study of Thailand. In: 19th ITS Biennial Conference 2012, Bangkok, Thailand, 18–21 November 2012.
Kim, H.-B., Kim, T., & Shin, S. W. (2009). Modeling roles of subjective norms and eTrust in customers’ acceptance of airline B2C eCommerce websites. Tourism Management, 30(2), 266–277. CrossRef
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322. CrossRef
Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM. Electronic Commerce Research, 12(2), 125–150. CrossRef
King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information and Management, 43(6), 740–755. CrossRef
Klopping, I. M., & McKinney, E. (2004). Extending the technology acceptance model and the task-technology fit model to consumer e-commerce. Information Technology, Learning, and Performance Journal, 22(1), 35–48.
Kunakornpaiboonsiri, T. (2012). Thai government launches new cloud service. Available at: http://www.futuregov.asia/articles/2012/feb/06/thai-government-launches-new-cloud-service/. Accessed 18 Nov 2013.
Lai, V. S., & Li, H. (2005). Technology acceptance model for Internet banking: an invariance analysis. Information and Management, 42(2), 373–386. CrossRef
Lee, H., Choi, S. Y., & Kang, Y. S. (2009). Formation of e-satisfaction and repurchase intention: moderating roles of computer self-efficacy and computer anxiety. Expert Systems with Applications, 36(4), 7848–7859. CrossRef
Lee, K. C., Kang, I., & Kim, J. S. (2007). Exploring the user interface of negotiation support systems from the user acceptance perspective. Computers in Human Behavior, 23(1), 220–239. CrossRef
Lee, M. (2009). Predicting and explaining the adoption of online trading: an empirical study in Taiwan. Decision Support Systems, 47(2), 133–142. CrossRef
Lee, Y. C. (2008). The role of perceived resources in online learning adoption. Computers & Education, 50(4), 1423–1438. CrossRef
Lee, Y.-H., Hsieh, Y.-C., & Ma, C.-Y. (2011). A model of organizational employee’s e-learning systems acceptance. Knowledge-Based Systems, 24(3), 355–366. CrossRef
Lee, Y., Kozar, K. A., & Larsen, K. R. T. (2003). The technology acceptance model: past, present, and future. Communications of the Association for Information Systems, 12(50), 752–780.
Lederer, A. L., Maupin, D. J., Sean, M. P., & Zhan, Y. (2000). The technology acceptance model and the world wide web. Decision Support Systems, 29(3), 269–282. CrossRef
Legris, P., Ingham, J., & Collerette, P. (2003). Why people use information technology? A critical review of technology acceptance model. Information and Management, 40(3), 191–204. CrossRef
Lu, J., Yu, C. S., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless Internet. Internet Research: Electronic Networking Applications and Policy, 13(3), 206–219. CrossRef
Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25(1), 392–414. CrossRef
Luarn, P., & Lin, H.-H. (2005). Toward the understanding of the behavior intention to use mobile banking. Computers in Human Behavior, 21(6), 873–891. CrossRef
Ma, Q., & Liu, L. (2004). The technology acceptance model: a meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16(1), 59–72. CrossRef
Mathieson, K. (1991). Predicting user intentions comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–191. CrossRef
McCoy, S., Everard, A., & Jones, B. M. (2005). An examination of the technology acceptance model in Uruguay and the US: a focus on culture. Journal of Global Information Technology Management, 8(2), 27–45. CrossRef
Mell, P. and Grance, T. (2011). The NIST Definition of Cloud Computing (Draft). National Institute of Standards and Technology Special Publication 800–145.
Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a world-wide-web context. Information and Management, 38(4), 217–230. CrossRef
Ministry of ICT (2009). The second Thailand Information and Communication Technology Master Plan (2009–2013). Available at: http://www.mict.go.th/download/Master_Plan.pdf. Accessed 21 Jan 2013.
Murah, M. Z. (2011). Teaching and learning cloud computing. Procedia Social and Behavioral Sciences, 59(17), 157–163.
Numnonda, T. (2011a). Public/Private Cloud Security Trend and Awareness, Asia Cloud Computing Association. Available at: http://www.slideshare.net/softwarepark/publicprivate-cloud-securtiy-trends-awareness. Accessed 20 Dec 2013.
Numnonda, T. (2011b). Cloud Computing: Situation in Thailand. Available at: http://www.slideshare.net/softwarepark/cloud-computing-situation-inthailand?utm_source=slideshow02&utm_medium=ssemail&utm_campaign=share_slideshow_loggedout Accessed 21 Dec 2013.
Numnonda, T. (2013a). Cloud Computing: kub karn chain garn nai ong-korn thang thang (Usage in different organizations). Available at: http://www.slideshare.net/thananum/cloud-computing-14525835. Accessed 20 Dec 2013.
Numnonda, T. (2013b). Cloud for M-Learning. Available at: http://www.slideshare.net/imcinstitute/cloud-for-mlearning. Accessed 9 Mar 2014.
Numnonda, T. (2013c). Prayook chai cloud computing sumrub ong-korn (Adapting Cloud Computing for Organization). Available at: http://www.slideshare.net/imcinstitute/cloud-computing-19987871. Accessed 9 Mar 2014.
Nunnally, J. (1978). Psychometric theory. New York: McGraw-Hill.
National Science and Technology development Agency (2013). Yuttakarn Kub Kluen Cloud Computing nai Prathed Thai (Cloud computing strategy in Thailand). Available at: http://www.nstda.or.th/news/10753-nectec. Accessed 9 Mar 2014.
Obe, O. O., & Balogu, V. F. (2007). Practice, trends, and challenges of mobile commerce in Nigeria. Information Technology Journal, 6(3), 448–456. CrossRef
Okazaki, S., Skapa, R., & Grande, I. G. (2008). Capturing global youth: mobile gaming in the U.S., Spain, and the Czech Republic. Journal of Computer-Mediated Communication, 13(4), 827–855. CrossRef
Ong, C. S., Lai, J., & Wang, Y. S. (2004). Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies. Information and Management, 41(6), 795–804. CrossRef
Pituch, K. A., & Lee, Y. K. (2006). The influence of system characteristic on e-learning use. Computers & Education, 47(2), 222–244. CrossRef
Pornwasin, A. (2013). SMEs to fuel cloud computing. Available at: http://www.nationmultimedia.com/technology/SMEs-to-fuel-cloud-computing-30200740.html. Accessed 13 Jan 13, 2014.
Roca, J. C., Chiu, C. M., & Martinez, F. J. (2006). Understanding e-learning continuance intention: an extension of the technology acceptance model. International Journal of Human-Computer Studies, 64(8), 683–696. CrossRef
Rogers, E. M. (1983). Diffusion of innovation (3rd ed.). New York: Free Press.
Rose, G., & Straub, D. (1998). Predicting general IT use: applying TAM to the Arabic World. Journal of Global Information Management, 6(3), 39–46. CrossRef
Saade, R. G., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information and Management, 42(2), 317–327. CrossRef
Saade, R. G., & Kira, D. (2009). Computer anxiety in e-learning: the effect of computer self-efficacy. Journal of Information Technology Education, 8, 177–191.
Sanchez Franco, M. J. (2010). WebCT – the quasimoderating effect of perceived affective quality on an extending technology acceptance model. Computers & Education, 54(1), 37–46. CrossRef
Sanchez, R. A., & Hueros, A. D. (2010). Motivational factors that influence the acceptance of moodle using TAM. Computers in Human Behavior, 26(6), 1632–1640. CrossRef
Sang, S., Lee, J. D., & Lee, J. (2009). E-government adoption in ASEAN: the case of Cambodia. Internet Research, 19(5), 517–533. CrossRef
Scalater, N. (2009). Cloudworks. eLearning in the Cloud. Available at: http://cloudworks.ac.uk/cloud/view/2430/. Accessed 2 Jan 2013.
Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: investigating subjective norm and moderation effects. Information and Management, 44(1), 90–103. CrossRef
Schofield, J. W. (1975). Effect of norms, public disclosure, and need for approval on volunteering behavior consistent with attitudes. Journal of Personality and Social Psychology, 31, 1126–1133. CrossRef
Sheng, Z., Jue, Z., & Weiwei, T. (2008). Extending TAM for online learning systems: an intrinsic motivation perspective. Tsinghua Science and Technology, 13(3), 312–317. CrossRef
Shyu, S. H.-P., & Huang, J.-H. (2011). Elucidating usage of e-government learning: a perspective of the extended technology acceptance model. Government Information Quarterly, 28(4), 491–502. CrossRef
Software Park Thailand, (2014). Available at http://www.swpark.or.th/component/seminar/?task=3&cid=130. Accessed 9 Mar 2014.
Steddum, J. (2013). A brief history of cloud computing. Available at: http://blog.softlayer.com/2013/virtual-magic-the-cloud/. Accessed 12 Jan 2014.
Straub, D. W., Keil, M., & Brenner, W. H. (1997). Testing the technology acceptance model across cultures: a three country study. Information and Management, 33(1), 1–11. CrossRef
Sultan, N. (2010). Cloud computing for education: a new dawn? International Journal of Information Management, 30(2), 109–116. CrossRef
SYS-CON Media Inc. (2008). Twenty Experts Define Cloud Computing, Available at: http://cloudcomputing.sys-con.com/read/612375-p. Accessed 15 Jan 2014.
Taylor, S., & Todd, P. A. (1995). Accessing IT usage: the role of prior experience. MIS Quarterly, 19(2), 560–570.
Teo, T., Lim, V., & Lai, R. (1999). Intrinsic and extrinsic motivation in internet usage. OMEGA: International Journal of Management Science, 27(1), 25–37. CrossRef
Tung, F. C., Chang, S. C., & Chou, C. M. (2008). An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. International Journal of Medical Informatics, 77(5), 324–335. CrossRef
Van Slyke, C., Belanger, F., & Comunale, C. (2004). Factors influencing the adoption of web-based shopping: the impact of trust. The Database for Advances in Information Systems, 35(2), 32–49. CrossRef
Vaquero, L. M. Rodero-Merino, L. Caceres, J. and Lindner, M. (2009). A Break in the Clouds: Towards a Cloud Definition. ACM Sigcomm Computer Communication Review, 11(4).
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: development and test. Decision Sciences, 27(3), 451–481. CrossRef
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186–204. CrossRef
Wang L, Tao J, Kunze M, Castellanos A, Kramer D, and Karl W. (2008). Scientific cloud computing: early definition and experience, The 10th IEEE International Conference on High Performance Computing and Communications, pp. 825–830.
Winkler, V. (J.R.) (2011). Introduction to cloud computing and security. In: Securing the cloud: Cloud Computer Security Techniques and Tactics, 1–27.
Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information and Management, 42(5), 719–729. CrossRef
Wu, L., & Chen, J. L. (2005). An extension of trust and TAM model with TPB in the initial adoption of on-line tax: an empirical study. International Journal of Human-Computer Studies, 62(6), 784–808. CrossRef
Yarbrough, A. K., & Smith, T. B. (2007). Technology acceptance among physicians: a new take on TAM. Medical Care Research and Review, 62(6), 650–672. CrossRef
Yoon, C., & Kim, S. (2007). Convenience and TAM in a ubiquitous computing environment: the case of wireless LAN. Electronic Commerce Research and Applications, 6(1), 102–112. CrossRef
Yu, J., Ha, I., Choi, M., & Rho, J. (2005). Extending the TAM for t-commerce. Information and Management, 42(7), 965–976. CrossRef
- Investigating the structural relationship for the determinants of cloud computing adoption in education
- Springer US
Neuer Inhalt/© ITandMEDIA, Best Practices für die Mitarbeiter-Partizipation in der Produktentwicklung/© astrosystem | stock.adobe.com