All Title Author
Keywords Abstract

Publish in OALib Journal
ISSN: 2333-9721
APC: Only $99

ViewsDownloads

Google Cloud Platform Adoption for Teaching in HEIs: A Qualitative Approach

DOI: 10.4236/oalib.1106819, PP. 1-23

Subject Areas: Education

Keywords: Google Cloud Platform Adoption, Economies Development, Higher Education Institution

Full-Text   Cite this paper   Add to My Lib

Abstract

Higher educational institutions (HEIs) are continuing to struggle with mounting fiscal problems due to economic downturn, which are increasingly forcing information technology (IT) departments to do more with same or less budgets. One area of growing interest for meeting the high technology demands and minimizing costs is the use of Google Cloud Platform to centralize computing and information management functions. Google Cloud Platform is a rapidly growing, yet evolving model that offers significant advantages to these institutions and is being widely used by large & small corporate organizations to manage their IT provisions and reduce their operational as well as IT maintenance costs. The use of Google Cloud Platform could also possibly allow HEIs to shift resources normally allocated for procurement, infrastructure, development, maintenance, and staffing to pay-as-you-go services to minimize operational & maintenance costs. However, despite such potential benefits of Google Cloud Platform higher educational institutions are yet to reap the benefits of this emerging technology as can be witnessed by snail pace adoption of Google Cloud Platform solutions. This paper thus intends to investigate the factors which could affect the acceptance and use of Google Cloud Platform in HEIs especially in developing economies like Malaysia.

Cite this paper

Hamed, P. K. and Preece, A. S. (2020). Google Cloud Platform Adoption for Teaching in HEIs: A Qualitative Approach. Open Access Library Journal, 7, e6819. doi: http://dx.doi.org/10.4236/oalib.1106819.

References

[1]  Ayyad, F. (2015) Higher Education and Privilege: 21st Century Issues [Special Section]. College Student Affairs Leadership, 2, 2.
[2]  Sife, A., Lwoga, E. and Sanga, C. (2007) New Technologies for Teaching and Learning: Challenges for Higher Learning Institutions in Developing Countries. International Journal of Education and Development Using ICT, 3, 57-67.
[3]  Dominguez, A. (2013) Evaluating the Acceptance of Cloud-Based Productivity Computer Solutions in Small and Medium Enterprises. Capella University, Minneapolis.
[4]  Jeong, J.-S., Kim, M. and Yoo, K.-H. (2013) A Content Oriented Smart Education System Based on Cloud Computing. International Journal of Multimedia and Ubiquitous Engineering, 8, 313-328. https://doi.org/10.14257/ijmue.2013.8.6.31
[5]  Klug, W. and Bai, X. (2015) Factors Affecting Google Cloud Platform Adoption among Universities and Colleges in the United States and Canada. Issues in Information Systems, 16, No. 3.
[6]  Linthicum, D.S. (2009) Google Cloud Platform and SOA Convergence in Your Enterprise: A Step-by-Step Guide. Pearson Education, 264 p.
[7]  Ewuzie, I. and Usoro, A. (2012) Exploration of Google Cloud Platform Adoption for e-Learning in Higher Education. 2012 2nd Symposium on Network Google Cloud Platform and Applications, London, 3-4 December 2012. https://doi.org/10.1109/NCCA.2012.19
[8]  Mircea, M. and Andreescu, A.I. (2011) Using Google Cloud Platform in Higher Education: A Strategy to Improve Agility in the Current Financial Crisis. Communications of the IBIMA, 2011, Article ID: 875547. https://doi.org/10.5171/2011.875547
[9]  Mustafee, N. (2010) Exploiting Grid Computing, Desktop Grids and Google Cloud Platform for e-Science: Future Directions. Transforming Government: People, Process and Policy, 4, 288-298. https://doi.org/10.1108/17506161011081291
[10]  Khajeh-Hosseini, A., Greenwood, D. and Sommerville, I. (2010) Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS. 2010 IEEE 3rd International Conference on Cloud Platform, Miami, 5-10 July 2010. https://doi.org/10.1109/CLOUD.2010.37
[11]  Saya, S., Pee, L.G. and Kankanhalli, A. (2010) The Impact of Institutional Influences on Perceived Technological Characteristics and Real Options in Google Cloud Platform Adoption. ICIS 2010 Proceedings, St. Louis, 15-18 December 2010.
[12]  Venkatesh, V. and Brown, S.A. (2001) A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges. MIS quarterly, 25, 71-102. https://doi.org/10.2307/3250959
[13]  Joshi, K. (2005) Understanding User Resistance and Acceptance during the Implementation of an Order Management System: A Case Study Using the Equity Implementation Model. Journal of Information Technology Case and Application Research, 7, 6-20. https://doi.org/10.1080/15228053.2005.10856057
[14]  Bhattacherjee, A. and Hikmet, N. (2007) Physicians’ Resistance toward Healthcare Information Technology: A Theoretical Model and Empirical Test. European Journal of Information Systems, 16, 725-737. https://doi.org/10.1057/palgrave.ejis.3000717
[15]  Joshi, K. (1991) A Model of Users’ Perspective on Change: The Case of Information Systems Technology Implementation. MIS Quarterly, 15, 229-242. https://doi.org/10.2307/249384
[16]  Yoon, Y.B., Oh, J. and Lee, B.G. (2013) The Establishment of Security Strategies for Introducing Cloud Computing. TIIS, 7, 860-877. https://doi.org/10.3837/tiis.2013.04.015
[17]  Zhang, Q., Cheng, L. and Boutaba, R. (2010) Cloud Computing: State-of-the-Art and Research Challenges. Journal of Internet Services and Applications, 1, 7-18. https://doi.org/10.1007/s13174-010-0007-6
[18]  Ramachandran, N., Sivaprakasam, P., Thangamani, G. and Anand, G. (2014) Selecting a Suitable Cloud Computing Technology Deployment Model for an Academic Institute. Campus-Wide Information Systems, 31, 319-345.
[19]  Hsu, P.F., Ray, S. and Li-Hsieh, Y.Y. (2014) Examining Cloud Computing Adoption Intention, Pricing Mechanism, and Deployment Model. International Journal of Information Management, 34, 474-488. https://doi.org/10.1016/j.ijinfomgt.2014.04.006
[20]  Tashkandi, A. and Al-Jabri, I. (2015) Cloud Computing Adoption by Higher Education Institutions in Saudi Arabia: Analysis Based on TOE. 2015 International Conference on Cloud Computing (ICCC), Riyadh, 26-29 April 2015, 1-8. https://doi.org/10.1109/CLOUDCOMP.2015.7149634
[21]  Sabi, H.M., Uzoka, F.M.E., Langmia, K. and Njeh, F.N. (2016) Conceptualizing a Model for Adoption of Cloud Computing in Education. International Journal of Information Management, 36, 183-191. https://doi.org/10.1016/j.ijinfomgt.2015.11.010
[22]  Carroll, J.M. and Swatman, P.A. (2000) Structured-Case: A Methodological Framework for Building Theory in Information Systems Research. European journal of information systems, 9, 235-242. https://doi.org/10.1057/palgrave.ejis.3000374
[23]  Yin, R.K. (2009) Case Study Research: Design and Methods. Sage, Thousand Oaks.
[24]  Miles, M.B. and Huberman, A.M. (1994) Qualitative Data Analysis: An Expanded Sourcebook. Sage, Thousand Oaks.
[25]  Spanes, C. and Stevenson, A. (2005) Oxford Dictionary of English. Oxford University Press, New York.
[26]  Davis, F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340. https://doi.org/10.2307/249008
[27]  Kahneman, D. and Tversky, A. (1979) Prospect Theory: An Analysis of Decision under Risk. Econometrica: Journal of the Econometric Society, 47, 263-291. https://doi.org/10.2307/1914185
[28]  Venkatesh, V.T., James Y.L. and Xu, X. (2012) Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36, 157-178. https://doi.org/10.2307/41410412
[29]  Dwivedi, Y.K., Wade, M.R. and Schneberger, S.L. (2011) Information Systems Theory: Explaining and Predicting Our Digital Society. Springer, New York. https://doi.org/10.1007/978-1-4419-9707-4
[30]  Oliveira, T., Thomas, M. and Espadanal, M. (2014) Assessing the Determinants of Google Cloud Platform Adoption: An Analysis of the Manufacturing and Services Sectors. Information & Management, 51, 497-510. https://doi.org/10.1016/j.im.2014.03.006
[31]  Rogers, E.M. and Shoemaker, F.F. (1971) Communication of Innovations: A Cross-Cultural Approach. The Free Press, New York.
[32]  Hsieh, P.-J., Lai, H.-M. and Ye, Y.-S. (2014) Patients’ Acceptance and Resistance toward the Health Cloud: An Integration of Technology Acceptance and Status Quo Bias Perspectives. Management Science, 40, 40-465.
[33]  ALraja, M.N. and Aref, M. (2015) Customer Acceptance of e-Commerce: Integrating Perceived Risk with TAM. International Journal of Applied Business and Economic Research, 13, 913-921.
[34]  Khadka, R., Saeidi, A., Idu, A., Hage, J. and Jansen, S. (2012) Legacy to SOA Evolution: Evaluation Results. Technical Report UU-CS-2012-006, Utrecht University, Utrecht.
[35]  Rai, R., Sahoo, G. and Mehfuz, S. (2015) Exploring the Factors Influencing the Google Cloud Platform Adoption: A Systematic Study on Cloud Migration. Springerplus, 4, 197. https://doi.org/10.1186/s40064-015-0962-2
[36]  Kshetri, N. (2010) Cloud Computing in Developing Economies. Computer, 43, 47-55. https://doi.org/10.1109/MC.2010.212
[37]  Carcary, M., Doherty, E., Conway, G. and McLaughlin, S. (2014) Google Cloud Platform Adoption Readiness and Benefit Realization in Irish SMEs—An Exploratory Study. Information Systems Management, 31, 313-327. https://doi.org/10.1080/10580530.2014.958028
[38]  Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J. and Ghalsasi, A. (2011) Cloud Computing—The Business Perspective. Decision support systems, 51, 176-189. https://doi.org/10.1016/j.dss.2010.12.006
[39]  Lee, G. and Xia, W. (2006) Organizational Size and IT Innovation Adoption: A Meta-Analysis. Information & Management, 43, 975-985. https://doi.org/10.1016/j.im.2006.09.003
[40]  Rogers, E.M. (2003) Diffusion of Innovations. 5th Edition, Free Press, New York.
[41]  Tornatzky, L.G., Fleischer, M. and Chakrabarti, A.K. (1990) Processes of Technological Innovation. Lexington Books, Lexington.
[42]  Baker, E.W., Al-Gahtani, S. and Hubona, G.S. (2011) Cultural Impacts on Acceptance and Adoption of Information Technology in a Developing Country. In: Tan, F.B., Ed., International Comparisons of Information Communication Technologies: Advancing Applications: Advancing Applications, IGI Global, 54-77. https://doi.org/10.4018/978-1-61350-480-2.ch003
[43]  Davis, F.D. (1985) A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Massachusetts Institute of Technology, Cambridge, MA.
[44]  Fishbein, M. and Ajzen, I. (1975) Belief, Attitudes, Intention, and Behavior. An Introduction to Theory and Research. Addison-Wesley, Reading, MA.
[45]  Ajzen, I., et al. (1980) Understanding Attitudes and Predicting Social Behaviour. Prentice Hall PTR, Englewood Cliffs.
[46]  Borders, A., Earleywine, M. and Huey, S.J. (2004) Predicting Problem Behaviors with Multiple Expectancies: Expanding Expectancy-Value Theory. Adolescence, 39, 539.
[47]  Liu, C., Sia, C.-L. and Wei, K.-K. (2008) Adopting Organizational Virtualization in B2B Firms: An Empirical Study in Singapore. Information & Management, 45, 429-437. https://doi.org/10.1016/j.im.2008.06.005
[48]  Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003) User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27, 425-478. https://doi.org/10.2307/30036540
[49]  Gangwar, H., Date, H. and Ramaswamy, R. (2015) Understanding Determinants of Google Cloud Platform Adoption Using an Integrated TAM-TOE Model. Journal of Enterprise Information Management, 28, 107-130. https://doi.org/10.1108/JEIM-08-2013-0065
[50]  Wisdom, J.P., Chor, K.H.B., Hoagwood, K.E. and Horwitz, S.M. (2014) Innovation Adoption: A Review of Theories and Constructs. Administration and Policy in Mental Health and Mental Health Services Research, 41, 480-502. https://doi.org/10.1007/s10488-013-0486-4
[51]  Low, C., Chen, Y. and Wu, M. (2011) Understanding the Determinants of Google Cloud Platform Adoption. Industrial Management & Data Systems, 111, 1006-1023. https://doi.org/10.1108/02635571111161262
[52]  Gupta, P., Seetharaman, A. and Raj, J.R. (2013) The Usage and Adoption of Google Cloud Platform by Small and Medium Businesses. International Journal of Information Management, 33, 861-874. https://doi.org/10.1016/j.ijinfomgt.2013.07.001
[53]  Gutierrez, A., Boukrami, E. and Lumsden, R. (2015) Technological, Organisational and Environmental Factors Influencing Managers’ Decision to Adopt Google Cloud Platform in the UK. Journal of Enterprise Information Management, 28, 788-807. https://doi.org/10.1108/JEIM-01-2015-0001
[54]  Sultan, N.A. (2011) Reaching for the “Cloud”: How SMEs Can Manage. International Journal of Information Management, 31, 272-278. https://doi.org/10.1016/j.ijinfomgt.2010.08.001
[55]  Cenfetelli, R.T. (2004) Inhibitors and Enablers as Dual Factor Concepts in Technology Usage. Journal of the Association for Information Systems, 5, 16. https://doi.org/10.17705/1jais.00059
[56]  Hirschheim, R. and Newman, M. (1988) Information Systems and User Resistance: Theory and Practice. The Computer Journal, 31, 398-408. https://doi.org/10.1093/comjnl/31.5.398
[57]  Markus, M.L. (1983) Power, Politics, and MIS Implementation. Communications of the ACM, 26, 430-444. https://doi.org/10.1145/358141.358148
[58]  Marakas, G.M. and Hornik, S. (1996) Passive Resistance Misuse: Overt Support and Covert Recalcitrance in IS Implementation. European Journal of Information Systems, 5, 208-219. https://doi.org/10.1057/ejis.1996.26
[59]  Carnall, C.A. (1986) Toward a Theory for the Evaluation of Organizational Change. Human Relations, 39, 745-766. https://doi.org/10.1177/001872678603900803
[60]  Polites, G.L. and Karahanna, E. (2012) Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance. MIS Quarterly, 36, 21-42. https://doi.org/10.2307/41410404
[61]  Tversky, A. and Kahneman, D. (1991) Loss Aversion in Riskless Choice: A Reference-Dependent Model. The Quarterly Journal of Economics, 106, 1039-1061. https://doi.org/10.2307/2937956
[62]  Samuelson, W. and Zeckhauser, R. (1988) Status Quo Bias in Decision Making. Journal of Risk and Uncertainty, 1, 7-59. https://doi.org/10.1007/BF00055564
[63]  Subashini, S. and Kavitha, V. (2011) A Survey on Security Issues in Service Delivery Models of Cloud Computing. Journal of Network and Computer Applications, 34, 1-11. https://doi.org/10.1016/j.jnca.2010.07.006
[64]  Khan, F., Zhang, B., Khan, S. and Chen, S. (2011) Technological Leap Frogging e-Government through Cloud Computing. 2011 4th IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT), Shenzhen, 28-30 October 2011. https://doi.org/10.1109/ICBNMT.2011.6155925
[65]  Kim, W. (2011) Google Cloud Platform Adoption. International Journal of Web and Grid Services, 7, 225-245. https://doi.org/10.1504/IJWGS.2011.043529
[66]  Brender, N. and Markov, I. (2013) Risk Perception and Risk Management in Cloud Computing: Results from a Case Study of Swiss Companies. International Journal of Information Management, 33, 726-733. https://doi.org/10.1016/j.ijinfomgt.2013.05.004
[67]  Kshetri, N. (2016) Institutional and Economic Factors Affecting the Development of the Chinese Google Cloud Platform Industry and Market. Telecommunications Policy, 40, 116-129. https://doi.org/10.1016/j.telpol.2015.07.006
[68]  Gill, R. (2011) Why Google Cloud Platform Matters to Finance. Strategic Finance, 92, 43.
[69]  Mell, P. and Grance, T. (2011) The NIST Definition of Cloud Computing. NIST Special Publication 800-145. https://doi.org/10.6028/NIST.SP.800-145
[70]  El-Gazzar, R.F. (2014) A Literature Review on Cloud Computing Adoption Issues in Enterprises. In: International Working Conference on Transfer and Diffusion of IT, Springer, Berlin, Heidelberg, 214-242. https://doi.org/10.1007/978-3-662-43459-8_14
[71]  Luo, X., Li, H., Zhang, J. and Shim, J. (2010) Examining Multi-Dimensional Trust and Multi-Faceted Risk in Initial Acceptance of Emerging Technologies: An Empirical Study of Mobile Banking Services. Decision Support Systems, 49, 222-234. https://doi.org/10.1016/j.dss.2010.02.008
[72]  Vakil, F., Lu, V. and Russakoff, A. (2012) Recent Developments in Google Cloud Platform and High Speed Connections for Business Practices. Review of Business, 33, 111.
[73]  Daylami, N., Ryan, T., Olfman, L. and Shayo, C. (2005) Determinants of Application Service Provider (ASP) Adoption as an Innovation. Proceedings of the 38th Annual Hawaii International Conference on System Sciences, Big Island, HI, 3-6 January 2005, 259b.
[74]  Ajzen, I. and Madden, T.J. (1986) Prediction of Goal-Directed Behavior: Attitudes, Intentions, and Perceived Behavioral Control. Journal of Experimental Social Psychology, 22, 453-474. https://doi.org/10.1016/0022-1031(86)90045-4

Full-Text


comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

微信:OALib Journal