YENİLİĞİN YAYILMA TEORİYİSLE TÜRK ŞİRKETLERİN BULUT BİLİŞİM ADAPTASYONUNU ETKİLEYEN KRİTİK FAKTÖRLER

Yıl 2021, , 91 - 105, 26.07.2021

Can Saygıner , Tuncay Ercan

https://doi.org/10.30794/pausbed.750829

Öz

Bulut bilişim, veri depolama, ağ ve uygulama gibi BT hizmetlerin, işletim giderlerini azaltmak amacıyla yazılım ve donanım ile uygulamaların hızlı kurulumunu ve gecikme olmaksızın bakımlarını şirketler tarafından harici olarak sağlanan etkili bir bilgi işlem teknolojisidir. Bununla birlikte, bulut bilişimin Türk şirketleri arasında benimsenmesinin etkilerini araştıran yeterli sayıda araştırma yapılmadığı görülmektedir. Bu çalışma ile sözkonusu bu boşluğu doldurmak amacıyla, Türk şirketlerinde bulut bilişimin benimsenmesini etkileyen faktörlerin ortaya konması amaçlamaktadır. Bulut bilişimin benimsenmesini etkileyen kritik faktörler için geliştirilen İnovasyonun Yayılması (DOI) teorisi ile algılanan avantaj, maliyet tasarrufu ve uyumluluk şeklinde üç faktör elde edilmiş ve bu faktörler için doğrulayıcı faktör analizi uygulanmıştır. Çalışma sonucunda ise; uyumluluğun maliyet tasarrufunu, maliyet tasarrufunun algılanan avantajı ve algılanan avantajın da bulut bilişimin benimsenmesini doğrudan etkilediği sonucuna varılmıştır. Algılanan avantajın varyansı ise, önerilen modelin % 15,8'ini açıklamaktadır. DOI teorisini benimseyerek yapılan bu çalışma, Türkiye'de bulut bilişim karar verme sürecinde şirketlerin BT karar vericilerinin bulut bilişimin benimsenme algısı hakkındaki farkındalıklarını artırmak amacıyla işletmelere katkıda bulunacaktır.

Anahtar Kelimeler

Bulut Bilişim, BT adaptasyonu, Yeniliğin Yayılma Teorisi, Doğrulayıcı Faktör Analizi, Doğrulayıcı Faktör Analizi

CRITICAL FACTORS AFFECTING CLOUD COMPUTING ADOPTION IN TURKISH COMPANIES WITH DIFFUSION OF INNOVATION THEORY

Öz

Cloud computing provides an effective computing technology in the way IT services such as data storage, network, and application are supplied externally by companies without software and hardware, long implementations, and delayed maintenance to decrease operational expenditures. However, there is an inadequate amount of scholars studying the effects of cloud computing adoption among Turkish companies. In order to fill the gap, this study aims to exhibit the factors affecting cloud computing adoption in Turkish companies. Diffusion of innovation (DOI) theory was developed to understand the critical factors affecting cloud computing adoption, deriving three factors: perceived advantage, cost-saving, and compatibility. Confirmatory factor analysis was applied to assess data. The findings showed that compatibility directly affected cost-savings. Cost-savings directly affected perceived advantage, and perceived advantage directly affected cloud computing adoption. The variance of perceived advantage also explained 15.8% of the proposed model. By adopting DOI theory, this study will intend to contribute to businesses for increasing the awareness of companies’ IT decision-makers about the perception of cloud computing adoption in the cloud computing decision making period in Turkey.

Anahtar Kelimeler

Cloud Computing, IT adoption, Diffusion of Innovation Theory, Confirmatory Factor Analysis

Kaynakça

• Alajmi, Q., Arshah, R. A., Kamaludin, A., Sadiq, A. S., & Al-Sharafi, M. A. (2018). A conceptual model of e-learning based on cloud computing adoption in higher education institutions. 2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017, 2018-Janua(January 2018), 1–6. https://doi.org/10.1109/ICECTA.2017.8252013
• Alhammadi, A. (2016). A Knowledge Management Based Cloud Computing Adoption Decision Making Framework. (January). , Ph.D. Dissertation, Staffordshire University, 299 p.http://eprints.staffs.ac.uk/2380/1/Alhammadi_PhD%20thesis.pdf. Accessed 15 December 2019
• Alhammadi, A., Stanier, C., & Eardley, A. (2015). The Determinants of Cloud Computing Adoption in Saudi Arabia. Second International Conference on Computer Science & Engineering, 70, 55-57. https://doi.org/10.5121/csit.2015.51406
• Alharbi, F., Atkins, A., & Stanier, C. (2016). Understanding the determinants of Cloud Computing adoption in Saudi healthcare organizations. Complex & Intelligent Systems, 2(3), 155–171. https://doi.org/10.1007/s40747-016-0021-9
• Ali, O., Soar, J., Yong, J., & Tao, X. (2016). Factors to be considered in cloud computing adoption. Web Intelligence, 14(4), 309–323. https://doi.org/10.3233/WEB-160347
• Alismaili, S., Li, M., Shen, J. & He, Q. (2016). A multi-perspective approach for understanding the determinants of cloud computing adoption among Australian SMEs. ACIS’2015: Proceedings of the 26th Australasian Conference on Information Systems, November 30- December 4, 2015, Adelaide, Australia, 1-14.
• Alkhalil, A., Sahandi, R. & John, D. (2017). An exploration of the determinants for the decision to migrate existing resources to cloud computing using an integrated TOE-DOI model. Journal of Cloud Computing, 6(2), https://doi.org/10.1186/s13677-016-0072-x
• Alshamaila, Y., Papagiannidis, S., & Li, F. (2013). Cloud computing adoption by SMEs in the northeast of England. Journal of Enterprise Information Management, 26(3), 250–275. https://doi.org/10.1108/17410391311325225
• Amron, M. T., Ibrahim, R., Azaliah, N., Bakar, A., & Chuprat, S. (2019). Determining Factors Influencing the Acceptance of Cloud Computing ScienceDirect ScienceDirect Determining Factors Influencing the Acceptance of Cloud Computing Implementation Determining Factors Influencing Acceptance of a Cloud Computing Implementation. Procedia Computer Science, 161(January), 1055–1063. https://doi.org/10.1016/j.procs.2019.11.216
• Amron, M. T., Ibrahim, R., & Chuprat, S. (2017). A Review on Cloud Computing Acceptance Factors. Procedia Computer Science, 124(January), 639–646. https://doi.org/10.1016/j.procs.2017.12.200
• Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rapkin, A., Stoica, I., & Zahaira, M. (2009). Above the clouds: A Berkeley view of cloud computing. Electrical Engineering and Computer Sciences University of California at Berkeley, Technical Report No. UCB/EECS-2009-28. http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf. Accessed 10 November 2019.
• Astri, L. Y. (2015). A study literature of critical success factors of cloud computing in organizations. Procedia Computer Science, 59, 188-194.
• Avram, M. G. (2014). Advantages and Challenges of Adopting Cloud Computing from an Enterprise Perspective. Procedia Technology, 12, 529–534. https://doi.org/10.1016/j.protcy.2013.12.525
• Wills, B. G., Alharthi, A., O. Alassafi, M., Alenezi, A., & J. Walters, R. (2018). Investigating the Security Factors in Cloud Computing Adoption: Towards Developing an Integrated Framework. Journal of Internet Technology and Secured Transaction, 5(2). https://doi.org/10.20533/jitst.2046.3723.2016.0061
• Bannerman, P. L. (2010). Cloud computing adoption risks : State of play. Asia Pacific Software Engineering Conference.https://www.researchgate.net/publication/242018999_Cloud_Computing_Adoption_Risks_State_of_Play
• Bedward, R., & Fokum, D. T. (2014). A Cloud computing adoption approach for Jamaican institutions. Conference Proceedings - IEEE SOUTHEASTCON, (March 2014). https://doi.org/10.1109/SECON.2014.6950693
• Bento, A., & Bento, R. (2011). Cloud computing: A new phase in information technology management. Journal of Information Technology Management, XXII (1), 39-46. https://www.researchgate.net/publication/267232982_Journal_of_Information_Technology_Management_CLOUD_COMPUTING_A_NEW_PHASE_IN_INFORMATION_TECHNOLOGY_MANAGEMENT Accessed 12 November 2019.
• Bhuyan, S., & Dash, M. (2018). Predicting cloud computing adoption in hospitals using regression analysis. Journal of Engineering and Applied Sciences, 13(6), 1436–1441. https://doi.org/10.3923/jeasci.2018.1436.1441
• Bogataj Habjan, K., & Pucihar, A. (2017). The Importance of Business Model Factors for Cloud Computing Adoption: Role of Previous Experiences. Organizacija, 50(3), 255–272. https://doi.org/10.1515/orga-2017-0013
• Carcary, M., Doherty, E., Conway, G., & McLaughlin, S. (2014). Cloud computing adoption readiness and benefits realization in Irish SMEs—An exploratory study. Information Systems Management, 31(4), 313–327. https://doi.org/10.1080/10580530.2014.958028
• Charlebois, K., Palmour, N., & Knoppers, B. M. (2016). The adoption of cloud computing in the field of genomics research: The influence of ethical and legal issues. PLoS ONE, 11(10), 1–33. https://doi.org/10.1371/journal.pone.0164347
• Cruzes, D. (2015). Cloud Provider Transparency : A View from Cloud Customers. (May). https://doi.org/10.5220/0005439000300039
• Dachyar, M., & Prasetya, M. D. (2014). Cloud Computing Implementation in Indonesia Cloud Computing Implementation in Indonesia. (March 2012).
• Dai, W., Venters, W., Whitley, E. A., Lindner, M., Chapman, C., Clayman, S., … Patel, P. (2009). The Cost of a Cloud : Research Problems in Data Center Networks. Journal of Information Technology, 27(3), 68–73. https://doi.org/10.1145/1496091.1496103
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
• Deil, R., & Brune, P. (2017). Cloudy with a Chance of Usage?-Towards a Model of Cloud Computing Adoption in German SME. In X. Franch, J. Ralyté, R. Matulevičius, C. Salinesi, & R. Wieringa (Eds.), 29th International Conference on Advanced Information Systems Engineering-CAiSE 2017 Forum and Doctoral Consortium Papers, June 14-16, 2017, 65-72.
• El-Gazzar, R. F. (2014). A literature review on cloud computing adoption issues in enterprises. IFIP advances in ınformation and communication technology, AICT-429, 214-242. https://doi.org/10.1007/978-3-662-43459-8
• El-Gazzar, R. F. (2015). An overview of cloud computing adoption challenges in the Norwegian context. Proceedings - 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, UCC 2014, 412–418. https://doi.org/10.1109/UCC.2014.52
• El-Gazzar, R., & Wahid, F. (2015). Strategies for cloud computing adoption: Insights from the Norwegian public sector. Proceeding of European, Mediterranean & Middle Eastern Conference on Information Systems - EMOIS, June 1–15, 2015, Athens, Greece. https://www.researchgate.net/publication/279287497_Strategies_for_Cloud_Computing_Adoption_Insights_from_the_Norwegian_Public_Sector Accessed 12 November 2019
• Fishbein, M. and Ajzen, I. (1975), “Belief, attitude, intention, and behavior: an introduction to theory and research”, available at: http://people.umass.edu/aizen/fanda1975.html (accessed July 1, 2014).Fremdt
• Gallaugher, J., & Ransbotham, S. (2010). Preparing for the future: understanding the seven capabilities of cloud computing. MIS Quarterly Executive, 9(4), 197-212.
• Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of Enterprise Information Management, 28(1), 107–130. https://doi.org/10.1108/JEIM-08-2013-0065
• Garrison, G., Wakefield, R. L., & Kim, S. (2015). The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations. International Journal of Information Management, 35(4), 377–393. https://doi.org/10.1016/j.ijinfomgt.2015.03.001
• Ghobakhloo, D. Arias-Aranda, J. Benitez-Amado (2011). Adoption of e-commerce applications in SMEs, Ind. Manage. Data Syst., pp. 1238–1269.
• Gledson, B. J., & Greenwood, D. (2017). The adoption of 4D BIM in the UK construction industry : An Innovation Diffusion approach Engineering , Construction and Architectural Management Article information : (February 2018). https://doi.org/10.1108/ECAM-03-2016-0066
• Gupta, S., Matthews, P., Muntés-mulero, V., & Dominiak, J. (2017). Cloud Service Offer Selection. 13–22. https://doi.org/10.1007/978-3-319-46031-4
• Gutierrez, A., Boukrami, E., & Lumsden, R. (2015). Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK. Journal of Enterprise Information Management, 28(6), 788–807. https://doi.org/10.1108/JEIM-01-2015-0001
• Hall, G. E., & Hord, S. M. (2001). Implementing Change: Patterns, Principles, and Potholes. Leadership in Mathematics Education, 2. Retrieved from https://www.mathedleadership.org/docs/coaching/PL-B-HALL.pdf
• Hassan, H., & Nasir, H.M. (2017). Determinants of cloud computing adoption at firm level: from the technological context. Journal of Engineering and Application Sciences, 12 (16): 4186-4192, DOI: 10.3923/jeasci.2017.4186.4192
• Hassan, H., Nasir, M.H.M., Khairudin, N., & Adon, I. (2017). Factors influencing cloud computing adoption in small and medium enterprises. Journal of Information and Communication Technology, 16(1), 21-41.
• Iyer, E. K. (2014). Segmentation of Risk Factors associated with Cloud Computing Adoption. Proceedings of the International Conference on Cloud Security Management (Iccsm-2014), (October), 82–89. https://doi.org/10.13140/2.1.3875.8088
• Kadhim, Q. K., Yusof, R., Mahdi, H. S., Al-Shami, S. S. A., Selamat, S. R. (2018). A review study on cloud computing issues. Journal of Physics: Conference Series, 1018 (2018) 012006. https://doi.org/10.1088/1742-6596/1018/1/012006
• Kaneko, R., & Pavarangkoon, P. (2016). A cloud provider selection scheme for cloud storage services. (November). https://doi.org/10.1587/comex.2016XBL0128
• Katzan, Jr., H. (2010). On an ontological view of cloud computing. Journal of Service Science (JSS), 3(1), 1–6. https://doi.org/10.19030/jss.v3i1.795
• Kemal, M. (2019). Beneficial uses of Cloud Computing Service and Deployment Models. (August).
• Kwabena, H., Antwi, A., Awuni, J. A., & Naminse, E. (2014). Innovation Diffusion among Healthcare Workforce : Analysis of Adoption and Use of Medical ICT in Ghanaian Tertiary Hospitals. (July). https://doi.org/10.6007/IJARBSS/v4-i7/987
• Kyriakou, N., Maragoudakis, M., Loukis, E., & Themistocleous, M. (2017). Prediction of propensity for enterprise cloud computing adoption. Proceedings of the 50th Hawaii International Conference on System Sciences, January 4-7, 2017, 4907-4916. https://doi.org/10.24251/hicss.2017.596
• Leimeister, S., Riedl, C., Böhm, M., & Krcmar, H. (2010). The business perspective of cloud computing: Actors, roles, and value networks. Proceedings of the 18th European Conference on Information Systems (ECIS), South Africa, June 7-9, 2010, 1–12. https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1082&context=ecis2010 Accessed 10 December 2019
• Lele, A. (2019). Cloud computing. Smart Innovation, Systems and Technologies, 132, 167–185. https://doi.org/10.1007/978-981-13-3384-2_10
• Leloglu, E. (2018). A Review of Cloud Deployment Models for E-Learning Systems. (June 2013), 7–9. https://doi.org/10.1109/DSN.2013.6575331
• Lian, J. W., Yen, D. C., & Wang, Y. T. (2014). An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital. International Journal of Information Management, 34(1), 28–36. https://doi.org/10.1016/j.ijinfomgt.2013.09.004
• Lynn, T., Gourinovitch, A., Morrison, J., Fox, G., Liang, X., & Rosati, P. (2018). Understanding the Determinants of Cloud Computing Adoption for High Performance Computing. Proceedings of the 51st Hawaii International Conference on System Sciences, (January). https://doi.org/10.24251/hicss.2018.489
• Maresova, P. (2014). Application of the Cost Benefit Analysis method in Cloud Computing in the Application of the Cost Benefit Analysis method in Cloud Computing in the Czech Republic. (January 2012). https://doi.org/10.1016/j.sbspro.2013.12.527
• Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing - The business perspective. Decision Support Systems, 51(1), 176–189. https://doi.org/10.1016/j.dss.2010.12.006
• Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. National Institute of Standard And Technology. https://csrc.nist.gov/publications/detail/sp/800-145/final. Accessed 7 September 2019
• Misra, S. C., & Mondal, A. (2011). Identification of a company’s suitability for the adoption of cloud computing and modelling its corresponding Return on Investment. Mathematical and Computer Modelling, 53(3–4), 504–521. https://doi.org/10.1016/j.mcm.2010.03.037
• Mukherjee, S. (2019). Information Governance for the Implementation of Cloud Computing Information Governance for the Implementation of Cloud Computing Sourav Mukherjee. (June). https://doi.org/10.6084/m9.figshare.8282192
• Ndukwe, I. G., & Chukwudi, A. E. (2015). Cost Benefits of Cloud vs . In-house IT for Higher Education Cost Benefits of Cloud vs . In-house IT for Higher Education. (February 2013).
• Okan, A. A., Hacaloglu, T., & Yazici, A. (2016). Study on cloud computing perception of Turkish IT sector. Tehnički Vjesnik - Technical Gazette, 23(1), 1-8. https://doi.org/10.17559/tv-20131030225745
• Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information and Management, 51(5), 497–510. https://doi.org/10.1016/j.im.2014.03.006
• Osorio-gallego, C. A., Londoño-metaute, J. H., & López-zapata, E. (2016). Analysis of factors that influence the ICT adoption by SMEs in Colombia. (April). https://doi.org/10.3926/ic.726
• Repschlaeger, J., Wind, S., Zarnekow, R., & Turowski, K. (2013). Decision model for selecting a cloud provider: A study of service model decision priorities. 19th Americas Conference on Information Systems, AMCIS 2013 – Chicago, Illinois, August 15-17, 2013. https://www.researchgate.net/publication/286007628_Decision_model_for_selecting_a_Cloud_provider_A_study_of_service_model_decision_priorities
• Rogers, E. M. (1983). Diffusion of ınnovations. 3rd. Edition, Macmillan Publishing, 453 p.
• Sallehudin, H., Razak, R. C., & Ismail, M. (2015). Factors Influencing Cloud Computing Adoption in the Public Sector: An Empirical Analysis. Journal of Entrepreneurship and Business, 3(1), 30–45. https://doi.org/10.17687/jeb.0301.03
• Scott, W., R. (1987). Institutional Theories of Organization. Annual Reviews Inc.. https://www.jstor.org/stable/2392880?seq=1. Accessed 01.05.2020
• Senyo, P. K., Effah, J., & Addae, E. (2016). Preliminary insight into cloud computing adoption in a developing country. Journal of Enterprise Information Management, 29(4), 505–524, https://doi.org/10.1108/JEIM-09-2014-0094
• Singh, H., & Randhawa, R. (2015). CPSEL : Cloud Provider Selection Framework For Ranking and Selection of Cloud Provider. (January). Son, I. Lee, D., Lee, J.-N., & Chang, Y.-B. (2011). Understanding the impact of IT service innovation on firm performance: The case of cloud computing. PACIS 2011 Proceedings, paper 180.
• Suryateja, P. S. (2018). Cloud Service Models Threats and Vulnerabilities : A Review Cloud Service Models Threats and Vulnerabilities : A Review. (April). Tarmidi, M., Rasid, S. Z. A., Alrazi, B., & Roni, R. A. (2015). Cloud Computing Awareness and Adoption among Accounting Practitioners in Malaysia. Procedia - Social and Behavioral Sciences, 164(August), 569–574. https://doi.org/10.1016/j.sbspro.2014.11.147
• Tjan, A.K. (2001), “Finally, a way to put your Internet portfolio in order”, Harvard Business Review, Vol. 79 No. 2, p. 76.
• Thiesse, F. T. Staake, P. Schmitt, E. Fleisch. (2011). The rise of the ‘‘next-generation bar code’’: an international RFID adoption study, Supply Chain Manage.: Int. J., pp. 245–328.
• Tornatzky, R. L., and Fleisher, M. (1990). The Process of Technological Innovation. Lexington Books, Lexington, MA.
• Tripathi, S. & Nasina, J. (2017). Adoption of cloud computing in business: A multi-case approach to evaluate the fit-viability model (FVM). Journal of Enterprise Information Management, 12(1), 64-73. https://doi.org/10.6702/ijbi2017.12.1.2
• Venkatesh, V., M.G. Morris, G.B. Davis, and F.D. Davis. 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly 27: 425–78
• Vidhyalakshmi, R. & Kumar, V. (2016). Determinants of cloud computing adoption by SMEs. International Journal of Business Information Systems, 22(3), 375–395. https://doi.org/10.1504/IJBIS.2016.076878
• Wang, C., Ren, K., Lou, W., & Li, J. (2010). Toward publicly auditable secure cloud data storage services. IEEE Network, 24(4), 19.24. https://doi.org/10.1109/MNET.2010.5510914
• Wani, T. A., & Ali, S. W. (2015). Review & Scope in the Study of Adoption of Smartphones in India. (August).
• Wazir, U., Khan, F. G., & Shah, S. (2016). Service Level Agreement in Cloud Computing : A Survey. (July).
• Youseff, L., Butrico, M.A., & Da Silva, D. (2008). Toward a unified ontology of cloud computing: Grid computing environments workshop, GCE’08, 12-16 Nov. 2008, 1–10. https://doi.org/10.1109/GCE.2008.4738443
• Zacharias, E. (2016). Introduction to cloud computing and control objectives for information and related technologies (COBIT) - mapped benefits of cloud computing adoption. African Journal of Business Management, 6(41), 10568–10577. https://doi.org/10.5897/ajbm12.584
• Zhang, S., Zhang, S., Chen, X., & Huo, X. (2010). Cloud Computing Research and Development Trend. 2nd International Conference on Future Networks, ICFN 2010, 93-97. https://doi.org/10.1109/ICFN.2010.58