FİRMALARDA BLOCKCHAIN TEKNOLOJİSİNİN KABULÜNÜ ANLAMAK İÇİN BİR MODEL ÖNERİSİ

Year 2024, Volume: 19 Issue: 62, 113 - 129, 30.07.2024

Fatma Gülruh Gürbüz Maryam Aljamal

https://doi.org/10.14783/maruoneri.1437928

Abstract

İlk olarak 2008 yılında ortaya çıkan Blockchain teknolojisi o tarihten itibaren gerek akademisyenlerin gerekse profesyonellerin ilgi odağı haline gelmiştir. Blockchain teknolojisinin, kripto para, sağlık bilgi sistemleri, tedarik zinciri yönetimi, insan kaynakları yönetimi, elektronik noter, müzik endüstrisi, gayrimenkul yönetimi gibi birçok alanda uygulanması mümkündür. Kullanım alanı bu kadar geniş olmasına rağmen Blockchain teknolojisi ile ilgili literatür henüz yeni ve kısıtlıdır. Teknoloji geliştirme çalışmalarında özellikle de Blockchain teknolojisi alanında yeniliğin kabulünü kurumsal düzeyde araştıran çok az sayıda çalışma bulunmaktadır. Bu çalışma yenilik yayılım teorisi, teknoloji-organizasyon-çevre çerçevesi ve kurumsal teori entegrasyonundan yola çıkarak kurumsal düzeyde blockchain teknolojisinin geliştirilmesi ile ilgili bir model önermektedir.

Keywords

Teknoloji Kabülü, Yenilik yayılım teorisi, Kurumsal Teori, Teknoloji - organizasyon - çevre modeli, Blokzincir.

PROPOSING A MODEL FOR UNDERSTANDING BLOCKCHAIN TECHNOLOGY ADOPTION IN ORGANIZATIONS

Abstract

Blockchain technology was first introduced in 2008, and since then it has been a subject of interest for both academicians and practitioners. Blockchain has many applications in business areas, such as: cryptocurrency, health information systems, electronic notary, supply chain management, human resources management, music industry, real estate management and much more. Despite the growing interest in blockchain technology, the literature regarding it is relatively new and limited. In the context of technology adoption studies, especially in blockchain field, there are limited number of studies that investigate innovation adoption at the organizational level. This paper proposes a model that integrates diffusion of innovation theory, technology-organization-environment framework, and institutional theory for future blockchain adoption studies at the organizational level.

Keywords

Technology adoption, Diffusion of Innovation Theory (DOI), Institutional theory, Technology-Organization-Environment Model (TOE), Blockchain.

References

• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control: From cognition to behavior (pp. 11-39). Berlin, Heidelberg: Springer Berlin Heidelberg.
• Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
• AL-Ashmori, A., Dominic, P. D. D., & Singh, N. S. S. (2022). Items and Constructs of Blockchain Adoption in Software Development Industry: Experts Perspective. Sustainability, 14(16), 10406.https://doi.org/10.3390/su141610406
• Aldahwan, N. S., & Ramzan, M. S. (2022). Quadruple Theories Based Determinants and their Causal Relationships Affecting the Adoption of Community Cloud in Saudi HEI. BioMed Research International, 2022, 1-10. https://doi.org/10.1155/2022/2382535
• Amini, M., & Jahanbakhsh Javid, N. (2023). A Multi-Perspective Framework Established on Diffusion of Innovation (DOI) Theory and Technology, Organization and Environment (TOE) Framework Toward Supply Chain Management System Based on Cloud Computing Technology for Small and Medium Enterprises. International Journal of Information Technology and Innovation Adoption, 11, 1217-1234. https://ssrn.com/abstract=4340207
• Appelbaum, D., & Smith, S. S. (2018). Blockchain Basics And Hands-On Guidance: Taking The Next Step Toward İmplementation And Adoption. The CPA Journal, 88(6), 28-37.
• Baig, M. I., Shuib, L., &Yadegaridehkordi, E. (2021). A model for decision-makers’ adoption of big data in the education sector. Sustainability, 13(24), 13995. https://doi.org/10.3390/su132413995
• Benisi, N. Z., Aminian, M., & Javadi, B. (2020). Blockchain-based decentralized storage networks: A survey. Journal of Network and Computer Applications, 162, 102656. https://doi.org/10.1016/j.jnca.2020.102656
• Bhattacharya, M., & FOSSO WAMBA, S. (2015). Determinants of Perceived Job Satisfaction From ERP-enabled Emergency Service Adoption: An Empirical Study. InTwenty-first Americas Conference on Information Systems.1-12.
• Carr Jr, V. H. (1999). Technology adoption and diffusion. The Learning Center for Interactive Technology.
• Chandra, S. and Kumar, K.N. (2018), “Exploring Factors Influencing Organizational Adoption of Augmented Reality in E-Commerce: Empirical Analysis Using Technology-Organization- Environment Model”, Journal of Electronic Commerce Research, Vol. 19 No. 3, pp. 237–265.
• Chittipaka, V., Kumar, S., Sivarajah, U., Bowden, J. L. H., & Baral, M. M. (2023). Blockchain Technology for Supply Chains operating in emerging markets: an empirical examination of technology-organization-environment (TOE) framework. Annals of Operations Research, 327(1), 465-492. https://doi.org/10.1007/s10479-022-04801-5
• Davis, F. D., Bagozzi, R. P. & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
• Davis, F.D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Sloan School of Management, Massachusetts Institute of Technology.
• Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
• DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 147-160. https://doi.org/10.2307/2095101
• Elghdban, M. G., Azmy, N., Zulkiple, A., & Al-Sharafi, M. A. (2023). Adoption of Building Information Modelling In Libyan Construction Firms: A Technological, Organizational, and Environmental (TOE) Perspectives. In IOP Conference Series: Earth and Environmental Science, 1140(1), 012020. https://doi.org/10.1088/1755-1315/1140/1/012020
• Erol, I., Ar, I. M., Ozdemir, A. I., Peker, I., Asgary, A., Medeni, I. T., & Medeni, T. (2020). Assessing the feasibility of blockchain technology in industries: Evidence from Turkey. Journal of Enterprise Information Management, 34(3), 746-769.https://doi.org/10.1108/JEIM-09-2019-0309
• Fishbein, M., & Ajzen, A. (1980). Understanding Attitudes and Predicting Social Behaviour. Preventive-Hall. Inc., Englewood Cliffs.
• Gibbs, J.L. and Kraemer, K.L. (2004). A cross-Country Investigation of the Determinants of Scope of E-Commerce Use: An Institutional Approach. Electronic Markets 14(2), 124-137. https://doi.org/10.1080/10196780410001675077
• Gong, Y., & Janssen, M. (2021). Roles and capabilities of enterprise architecture in big data analytics technology adoption and implementation. Journal of theoretical and applied electronic commerce research, 16(1), 37-51. https://doi.org/10.4067/S0718-18762021000100104
• Gupta, S., Modgil, S., Gunasekaran, A., & Bag, S. (2020). Dynamic capabilities and institutional theories for Industry 4.0 and digital supply chain. In Supply Chain Forum: An International Journal, 21(3), 139-157). https://doi.org/10.1080/16258312.2020.1757369
• Hartley, J. L., Sawaya, W., & Dobrzykowski, D. (2022). Exploring blockchain adoption intentions in the supply chain: Perspectives from innovation diffusion and institutional theory. International Journal of Physical Distribution & Logistics Management, 52(2), 190-211. https://doi.org/10.1108/IJPDLM-05-2020-0163
• Hartley, J. L., Sawaya, W., & Dobrzykowski, D. (2022). Exploring blockchain adoption intentions in the supply chain: perspectives from innovation diffusion and institutional theory. International Journal of Physical Distribution & Logistics Management, 52(2), 190-211.https://doi.org/10.1108/IJPDLM-05-2020-0163
• Janssen, M., Weerakkody, V., Ismagilova, E., Sivarajah, U., & Irani, Z. (2020). A Framework For Analysing Blockchain Technology Adoption: Integrating İnstitutional, Market And Technical Factors. International Journal Of Information Management, 50, 302-309.https://doi.org/10.1016/j.ijinfomgt.2019.08.012
• Konstantinidis, I., Siaminos, G., Timplalexis, C., Zervas, P., Peristeras, V., & Decker, S. (2018). Blockchain For Business Applications: A Systematic Literature Review. In International Conference On Business Information Systems, 384-399. https://doi.org/10.1007/978-3-319-93931-5_28
• Kusuma, H., Muafı, M., Ajı, H. M., & Pamungkas, S. (2020). Information And Communication Technology Adoption İn Small-And Medium-Sized Enterprises: Demographic Characteristics. The Journal Of Asian Finance, Economics And Business (JAFEB), 7(10), 969-980. https://doi.org/10.13106/jafeb.2020.vol7.no10.969
• Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. JISTEM-Journal of Information Systems and Technology Management, 14, 21-38. https://doi.org/10.4301/S1807-17752017000100002
• Li, J. C. (2020). Roles of individual perception in technology adoption at organization level: Behavioral model versus toe framework. Journal of System and Management Sciences, 10(3), 97-118.
• Lohmer, J., & Lasch, R. (2020). Blockchain İn Operations Management And Manufacturing: Potential And Barriers. Computers & Industrial Engineering, 149, 106789. https://doi.org/10.1016/j.cie.2020.106789
• Malik, S., Chadhar, M., Chetty, M., &Vatanasakdakul, S. (2020). An Exploratory Study Of The Adoption Of Blockchain Technology Among Australian Organizations: A Theoretical Model. In European, Mediterranean, And Middle Eastern Conference On Information Systems, 205-220. Springer, Cham. https://doi.org/10.1007/978-3-030-63396-7_14
• Mezghani, K., Alsadi, A. K., &Alaskar, T. H. (2022). Study of the Environmental Factors' Effects on Big Data Analytics Adoption in Supply Chain Management. International Journal of E-Business Research (IJEBR), 18(1). https://doi.org/1-20. 10.4018/IJEBR.309395
• Ngah, A. H., Thurasamy, R., Mohd Salleh, N. H., Jeevan, J., Md Hanafiah, R., &Eneizan, B. (2022). Halal transportation adoption among food manufacturers in Malaysia: the moderated model of technology, organization, and environment (TOE) framework. Journal of Islamic Marketing, 13(12), 2563-2581. https://doi.org/10.1108/JIMA-03-2020-0079
• Oliveira, T., & Martins, M. F. (2011). Literature review of information technology adoption models at firm level. Electronic journal of information systems evaluation, 14(1), pp110-121.
• Rogers, E. M. (2003). Diffusion of Innovations. Simon & Shuster.
• Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.
• Rogers, E.M. (1983) Diffusion of innovations, The Free Press: New York.
• Sahin, I. (2006). Detailed review of Rogers' diffusion of innovations theory and educational technology-related studies based on Rogers' theory. Turkish Online Journal of Educational Technology-TOJET, 5(2), 14-23.
• Saurabh, S., & Dey, K. (2021). Blockchain Technology Adoption, Architecture, And Sustainable Agrifood Supply Chains. Journal Of Cleaner Production, 284, 124731. https://doi.org/10.1016/j.jclepro.2020.124731
• Schuyler, A., Alidina, Z., Dolcini, M. M., Harper, G., Fortenberry, J. D., Singh, R., ... & Catania, J. (2021). Pre-exposure prophylaxis (PrEP) dissemination: adapting diffusion theory to examine PrEP adoption. AIDS and Behavior, 25(10), 3145-3158. https://doi.org/10.1007/s10461-021-03345-2
• Siew, E. G., Rosli, K., & Yeow, P. H. (2020). Organizational and environmental influences in the adoption of computer-assisted audit tools and techniques (CAATTs) by audit firms in Malaysia. International Journal of Accounting Information Systems, 36, 100445. https://doi.org/10.1016/j.accinf.2019.100445
• Skare, M., & Soriano, D. R. (2021). How globalization is changing digital technology adoption: An international perspective. Journal of Innovation & Knowledge, 6(4), 222-233. https://doi.org/10.1016/j.jik.2021.04.001
• Soares, A. L. V., Mendes-Filho, L., &Gretzel, U. (2021). Technology adoption in hotels: applying institutional theory to tourism. Tourism Review, 76(3), 669-680. https://doi.org/10.1108/TR-05-2019-0153
• Soares-Aguiar, A., & Palma-dos-Reis, A. (2008). Why do firms adopt e-procurement systems? Using logistic regression to empirically test a conceptual model. IEEE Transactions on Engineering Management, 55(1), 120-133. https://doi.org/10.1109/TEM.2007.912806
• Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia manufacturing, 22, 960-967. https://doi.org/10.1016/j.promfg.2018.03.137
• Taherdoost, H. (2022). A critical review of blockchain acceptance models—blockchain technology adoption frameworks and applications. Computers, 11(2), 24.https://doi.org/10.3390/computers11020024
• Tornatzky, L.G. and Fleischer, M. (1990) The Processes of Technological Innovation. Lexington Books, Lexington. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
• Vergouwen, M., Koens, T., & Poll, E. (2020). Drivers and Impediments: Experts Opinions on Blockchain Adoption in the Netherlands. In 2020 Second International Conference on Blockchain Computing and Applications (BCCA) (pp. 86-91). IEEE. https://doi.org/10.1109/BCCA50787.2020.9274086
• Viriyasitavat, W., &Hoonsopon, D. (2019). Blockchain Characteristics And Consensus İn Modern Business Processes. Journal Of Industrial Information Integration, 13, 32-39. https://doi.org/10.1016/j.jii.2018.07.004
• White, G. R. (2017). Future Applications Of Blockchain İn Business And Management: A Delphi Study. Strategic Change, 26(5), 439-451. https://doi.org/10.1002/jsc.2144
• Yoon, T. E., & George, J. F. (2013). Why Aren’t Organizations Adopting Virtual Worlds? Computers in Human Behavior, 29(3), 772-790. https://doi.org/10.1016/j.chb.2012.12.003