Hashimy, Loha and Geetika, Jain and Grifell-Tatje, Emili (2023): Determinants of Blockchain Adoption as Decentralized Business Model by Spanish Firms: – An Innovation Theory Perspective. Published in: Industrial Management & Data Systems , Vol. 123, No. 1 (2023): pp. 204-228.
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Abstract
urpose: Large attention surrounds identifying the meaningful blockchain business model on financial services, while a little focus about non-financial organizations and solutions in terms of how the blockchain business model can affect the organization and bring more value. To address the complex structure of businesses that have public goods, it is important to develop sustainable blockchain-based business models. Design/methodology/approach: This study offers the first qualitative research that uses an integrated technological, environmental and organizational (TOE) framework with technology acceptance theory (TAM) to study the adoption of blockchain technology by Spanish firms. Findings: The results of the paper discuss how that competitive pressure, competence, top management support and relative advantage have a positive impact on intention to adopt blockchain technology while complexity affects the intention to adopt the technology negatively. Contrary to many adoption studies, the findings show that intention to adopt negatively impacts adoption and outline the effect of blockchain on business model elements on the macroeconomic level. Originality/value: The key contribution of this study lies in providing a comprehensive understanding of the environmental, technological and organizational factors that impact the intention to adopt blockchain that eventually affects adoption.
Item Type: | MPRA Paper |
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Original Title: | Determinants of Blockchain Adoption as Decentralized Business Model by Spanish Firms: – An Innovation Theory Perspective. |
Language: | English |
Keywords: | Blockchain technology ; Business model ; Decentralized ; TAM ; TOE |
Subjects: | M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M2 - Business Economics > M21 - Business Economics |
Item ID: | 119903 |
Depositing User: | PhD Emili Grifell - Tatjé |
Date Deposited: | 23 Jan 2024 15:04 |
Last Modified: | 23 Jan 2024 15:04 |
References: | Ajzen, I., 1985. “From Intentions to Actions: A Theory of Planned Behavior.” In Action Control. https://doi.org/10.1007/978-3-642-69746-3_2 Alazab, M., Salah A., Albara A., and Ayman B. A., 2021. “Blockchain Technology in Supply Chain Management: An Empirical Study of the Factors Affecting User Adoption/Acceptance.” Cluster Computing 24 (1): 83-101. https://doi.org/10.1007/s10586-020-03200-4 Amini, M., Nazli S., Safavi A. B., Seyyed A. A. J., and Ali T., 2014. “The Role of Top Manager Behaviours on Adoption of Cloud Computing for Small and Medium Enterprises.” Australian Journal of Basic and Applied Sciences (AJBAS) 8 (1): 490-498. Armstrong, C. P., and V. Sambamurthy. 1999. “Information Technology Assimilation in Firms: The Influence of Senior Leadership and IT Infrastructures.” Information Systems Research 10(4): 304–27. https://doi.org/10.1287/isre.10.4.304 Awa, H.O., Ojiabo, O.U. and Emecheta, B.C., 2015. Integrating TAM, TPB and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs. Journal of Science & Technology Policy Management 6(1): 76-94 https://doi.org/10.1108/JSTPM-04-2014-0012 Babakus, E, and Mangold W. G. 1992. “Adapting the SERVQUAL Scale to Hospital Services: An Empirical Investigation.” Health services research 26(6): 767. Baron, R. M., and D. A., Kenny. (1986). “The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations.” Journal of Personality and Social Psychology 51(6): 1173-1182. Bear, K., Drury, N., Korsten, P., Pureswaran, V., Wallis, J. and Wagle, L., 2016. Blockchain rewires financial markets: trailblazers take the lead. [online] IBM Institute for Business Value, New York, available at: https://public.dhe.ibm.com/common/ssi/ecm/gb/en/gbp03469usen/GBP03469USN. PDF (Accessed 27 December 2021). Bentler, P. M., and Chih, P. C., 1987. “Practical Issues in Structural Modeling.” Sociological Methods & Research 16 (1): 78-117 https://doi.org/10.1177/0049124187016001004 Bollen, K. A. 1989. Structural equations with latent variables 210. John Wiley & Sons. https://doi.org/10.1002/9781118619179 Bouranta, N., Leonidas Ch., and John P. (2009). “The Relationship between Internal and External Service Quality.” International Journal of Contemporary Hospitality Management 21(3):275-293. https://doi.org/10.1108/09596110910948297 Carr, Jr V.H. 1999. “Technology Adoption and Diffusion.” The Learning Center for InteractiveTechnology. 1999. http://www.icyte.com/system/snapshots/fs1/9/a/5/0/9a50b695f1be57ce369534ac73 78580%0A1745a8180/index.html. Chatterjee, S., Rana, N.P., Dwivedi, Y.K. and Baabdullah, A.M., 2021. “Understanding AI adoption in manufacturing and production firms using an integrated TAM- TOE model”. Technological Forecasting and Social Change, 170, 120880. https://doi.org/10.1016/j.techfore.2021.120880 Chin, W. W., Robert A. P.f, and Steven P. B., 2008. “Structural Equation Modeling in Marketing: Some Practical Reminders.” Journal of Marketing Theory and Practice 16(4):287-98 https://doi.org/10.2753/MTP1069-6679160402 Chiu, C. M., and Eric T.G. Wang. 2008. “Understanding Web-Based Learning Continuance Intention: The Role of Subjective Task Value.” Information and Management 45 (3):194-201 https://doi.org/10.1016/j.im.2008.02.003. Cho, J., Cheon, Y., Jun, J.W. and Lee, S., 2021. Digital advertising policy acceptance by out-of-home advertising firms: a combination of TAM and TOE framework. International Journal of Advertising, 1-19. Clohessy, T., Thomas A., Reuben G., and Michelle H., 2018. “The Adoption of Blockchain in Ireland: Examining the Influence of Organisational Factors.” Galway: National University of Ireland Galway. https://doi.org/https://doi.org/10.13025/S8PK9Z Clohessy, T., and Thomas A., 2019. “Investigating the Influence of Organizational Factors on Blockchain Adoption: An Innovation Theory Perspective.” Industrial Management and Data Systems 119 (7). https://doi.org/10.1108/IMDS-08-2018-0365 Cohen, J. 1988. Statistical Power Analysis for the Behavioural Sciences. New York: Routledge. https://doi.org/10.4324/9780203771587 Cooper, R. B., and R. W., Zmud. 1990. “Information Technology Implementation Research: A Technological Diffusion Approach.” Management Science 36(2): 123– 139. https://doi.org/10.1287/mnsc.36.2.123 Crosby, M., N., Pradhan P., Sanjeev V., and Vignesh K., 2016. “Blockchain Technology - BEYOND BITCOIN.” Applied Innovation. 2(6-10):71 https://doi.org/10.1515/9783110488951 Cruz-Jesus, F., Andreia P., and Tiago O., 2019. “Understanding CRM Adoption Stages:Empirical Analysis Building on the TOE Framework.” Computers in Industry 109:1-3. https://doi.org/10.1016/j.compind.2019.03.007 Davis, F. D., 1986. “A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results [Dissertation].” Doctoral Dissertation, Massachusetts Institute of Technology. Davis, F. D., Richard P. B., and Paul R. W., 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. Dawes, J. 2008. “Do Data Characteristics Change According to the Number of Scale Points Used.” International journal of market research 50(1): 61-104. https://doi.org/10.1177/147078530805000106 Devlin, S. J., H. K. D., and Marbue B. 2003. “Selecting a Scale for Measuring Quality.”Marketing Research 5(3): 12-17. Dijkstra, Theo K., and Jörg H.. 2015. “Consistent and Asymptotically Normal PLS Estimators for Linear Structural Equations.” Computational Statistics and Data Analysis 81:10-23. https://doi.org/10.1016/j.csda.2014.07.008 Ettlie, J. E., 2011. “What Makes a Manufacturing Firm Innovative?” Executive 4(4):7-20. https://doi.org/10.5465/ame.1990.4277195 Fornell, C., and Fred L. B., 1982. “Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory.” Journal of Marketing Research 19(4):440-52. https://doi.org/10.1177/002224378201900406 Fosso W., S., Maciel M. Q., and Laura T., 2020. “Dynamics between Blockchain Adoption Determinants and Supply Chain Performance: An Empirical Investigation.” International Journal of Production Economics 229 (November): 107791. https://doi.org/10.1016/j.ijpe.2020.107791 Gangwar, H., Hema D., and 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/JEIM08-2013-0065 Gould, A., 1994. “The Issue of Measurement Validity in Health-Care Research.” British Journal of Therapy and Rehabilitation 1 (2): 99-103. https://doi.org/10.12968/bjtr.1994.1.2.99 Grover, P., Arpan K. K., and Marijn J., 2019. “Diffusion of blockchain technology: Insights from academic literature and social media analytics” Journal of Enterprise Information Management 32 (5): 735-757 https://doi.org/10.1108/jeim-06-2018-0132 Hair, J. F., G. T. M Hult, C. M. Ringle, and M. Sarstedt. 2017. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Second Edition. California: Sage. Hair, J., William B., Barry B., and Rolph A., 2010. “Multivariate Data Analysis: A Global Perspective.” In Multivariate Data Analysis: A Global Perspective 7 Helliar, C. V., Louise Crawford, Laura Rocca, Claudio Teodori, and Monica Veneziani. 2020. “Permissionless and Permissioned Blockchain Diffusion.” International Journal of Information Management 54: 102136 https://doi.org/10.1016/j.ijinfomgt.2020.102136 Henseler, J., Christian M. R., and Marko S.,. 2015. “A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling.” Journal of the Academy of Marketing Science 43 (1): 115-135. https://doi.org/10.1007/s11747-014-0403-8 Hossain, Mohammad Alamgir, and Mohammed Quaddus. 2011. “The Adoption and Continued Usage Intention of RFID: An Integrated Framework.” Information Technology and People 24 (3). https://doi.org/10.1108/09593841111158365 Iacovou, C. L., Izak B., and Albert S. D., 1995. “Electronic Data Interchange and Small Organizations: Adoption and Impact of Technology.” MIS Quarterly: Management Information Systems 19 (4): 465-85 https://doi.org/10.2307/249629. Lansiti, M. and Lakhani, K.R. , 2017. The truth about blockchain, Harvard Business Review, 95 (1):118-127. Kamble, S., Angappa G., and Himanshu A., 2019. “Understanding the Blockchain Technology Adoption in Supply Chains-Indian Context.” International Journal of Production Research 57(7): 2009-2033 https://doi.org/10.1080/00207543.2018.1518610 Kenney, D. A. 2021. Mediation. http://davidakenny.net/cm/mediate.html Khayer, A., Md Shamim T., Yukun B., and Md Nahin H., 2020. “Cloud Computing Adoption and Its Impact on SMEs’ Performance for Cloud Supported Operations: A Dual-Stage Analytical Approach.” Technology in Society 60: 101225. https://doi.org/10.1016/j.techsoc.2019.101225 Knauer, F., and Andreas M., 2020. “What Is in It for Me? Identifying Drivers of Blockchain Acceptance among German Consumers.” The Journal of the British Blockchain Association 3 (1): 10484 https://doi.org/10.31585/jbba-3-1-(1)2020 Lai, H. M., Lin C. I., and Ling T. T., 2014. “High-Level Managers’ Considerations for RFID Adoption in Hospitals: An Empirical Study in Taiwan.” Journal of Medical Systems 38 (2): 1-7. https://doi.org/10.1007/s10916-013-0003-z Lee, C. P., and Jung P. Sh. 2007. “An Exploratory Study of Radio Frequency Identification (RFID) Adoption in the Healthcare Industry.” European Journal of Information Systems 16 (6): 712-724. https://doi.org/10.1057/palgrave.ejis.3000716 Li, D., Fujun L., and Jian W., 2010. “E-Business Assimilation in China’s International Trade Firms: The Technology-Organizationenvironment Framework.” Journal of Global Information Management 18 (1): 39-65. https://doi.org/10.4018/jgim.2010091103 Li, J., 2020. “Blockchain Technology Adoption: Examining the Fundamental Drivers.” In ACM International Conference Proceeding Series: 235-260. https://doi.org/10.1145/3396743.3396750 Lian, J. W., Chih T. C., Li Fang Sh., and Hung M. Ch., 2020. “Understanding User Acceptance of Blockchain-Based Smart Locker.” Electronic Library 38 (2): 353- 366. https://doi.org/10.1108/EL-06-2019-0150 Liang, H., Nilesh S., Qing H., and Yajiong X., 2007. “Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management.” MIS Quarterly: Management Information Systems 31 (1): 59-87. https://doi.org/10.2307/25148781 Lin, H. F., and Szu M. L., 2008. “Determinants of E-Business Diffusion: A Test of the Technology Diffusion Perspective.” Technovation 28 (3): 135-145. https://doi.org/10.1016/j.technovation.2007.10.003. MacKinnon, DP., Lockwook, C. M.,Hoffman, J. M., West, S.G., Sheets, V., 2002. “A Comparison of Methods to Test Mediation and Other Intervening Variable Effects.” Psychological Methods 7(1).83-104 McKinsey, 2017. Blockchain technology in the insurance industry. [online] available at: www.treasury.gov/initiatives/fio/Documents/McKinsey_FACI_Blockchain_in_Ins urance.pdf (Accessed 27 December 2021) Mehrtens, J., Paul B. C., and Annette M. M.. 2001. “A Model of Internet Adoption by SMEs.” Information and Management 39 (3): 165-176. https://doi.org/10.1016/S0378-7206(01)00086-6 Moore, G. C., and Izak B., 1991. “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation.” Information Systems Research 2 (3): 192-222. https://doi.org/10.1287/isre.2.3.192. Orji, I. J., Simonov K., Shuangfa H., and Diego V. 2020. “Evaluating the Factors That Influence Blockchain Adoption in the Freight Logistics Industry.” Transportation Research Part E: Logistics and Transportation Review 141: 102025 Preacher, K. J., and A. F., Hayes. (2008). ¨Comtemporaray Approaches to Assessing Mediation in Communication Research. Chapter 2 in Hayes, F. A., M D., Slater, L. B., Snyder, eds., The Sage Sourcebook of Advanced Data Analysis Methods for Communication Research. Sage Publications, Inc. 13-54. Prentice, R. C., Stephen F. W., and Claire H. 1998. “Tourism as Experience: The Case of Heritage Parks.” Annals of Tourism Research 25(1): 1-24 Queiroz, M. M., Samuel F. W., Marc D. B., and Renato Telles. 2020. “Blockchain Adoption in Operations and Supply Chain Management: Empirical Evidence from an Emerging Economy.” International Journal of Production Research. 59(20):6087-103. https://doi.org/10.1080/00207543.2020.1803511 Ramdani, B., Peter K., and Oswaldo L., 2009. “Predicting SMEs’ Adoption of Enterprise Systems.” Journal of Enterprise Information Management 22 (1/2): 10- 24. https://doi.org/10.1108/17410390910922796. Raut, R., Priyadarshinee, P. and Jha, M., 2018. Understanding the mediation effect of cloud computing adoption in Indian organization: integrating TAM-TOE-Risk model. In Technology Adoption and Social Issues: Concepts, Methodologies, Tools, and Applications. 675-697. IGI Global. Reyna, A., Martín, C., Chen, J., Soler, E. and Díaz, M., 2018. On blockchain and its integration with IoT. Challenges and opportunities. Future generation computer systems, 88: 73-190. Roger, Everett M. 1962. Diffusion of Innovations. New York: Free Press. Sabherwal, R., Anand J., and Charles Ch., 2006. “Information System Success: Individual and Organizational Determinants.” Management Science 52 (12): 1849- 1864. https://doi.org/10.1287/mnsc.1060.0583. Sideridis, G., Panagiotis S., Andrew P., and Jack F., 2014. “Using Structural Equation Modeling to Assess Functional Connectivity in the Brain: Power and Sample Size Considerations.” Educational and Psychological Measurement 74 (5): 733-758. https://doi.org/10.1177/0013164414525397. Tapscott, D. and Tapscott, A., 2018. Blockchain revolution. Senai-SP Editora. Treat, D., McGraw, L., Helbing, C. and Brodersen, C., 2017. Blockchain technology: preparing for change. [online] available at: www.accenture.com/t20160608T052656Z__w__/us-en/_acnmedia/PDF-5/Accenture-2016-Top-10-Challenges-04-Blockchain-Technology.pdf (Accessed 27 December 2021) Tornatzky, L. G., Mitchell F., and Alok K. Ch., 1990. The Process of Technological Innovation. Lexington Books. Venkatesh, V., and Hillol B., 2008. “Technology Acceptance Model 3 and a Research Agenda on Interventions.” Decision Sciences 39 (2): 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x Venkatesh, V., James Y.L. Th., and Xin X., 2012. “Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology.” MIS Quarterly: Management Information Systems 36 (1): 157-178. https://doi.org/10.2307/41410412 Weking, J., Mandalenakis, M., Hein, A., Hermes, S., Böhm, M. and Krcmar, H., 2019.“The impact of blockchain technology on business models–a taxonomy and archetypal patterns.” Electronic Markets, 30(2):285-305. https://doi.org/10.1007/s12525-019-00386-3 Wong, L. W., Lai Y. L. , Jun J. H., Garry W. H. T., and Keng B. O., 2020. “Time to Seize the Digital Evolution: Adoption of Blockchain in Operations and Supply Chain Management among Malaysian SMEs.” International Journal of Information Management 52: 101997. https://doi.org/10.1016/j.ijinfomgt.2019.08.005 Wong, L. W., Garry W. H. T., Voon H. L., Keng B. O., and Amrik Sohal. 2020. “Unearthing the Determinants of Blockchain Adoption in Supply Chain Management.” International Journal of Production Research 58 (7): 2100-23. https://doi.org/10.1080/00207543.2020.1730463 Wolf, E. J., Kelly M. H., Shaunna L. C., and Mark W. M., 2013. "Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety." Educational and psychological measurement 73 (6) : 913-934. Woodside, J. M, Jr Augustine, Fred K., and Will G., 2017. “Blockchain Technology Adoption Status and Strategies.” Journal of International Technology and Information Management 26 (2):65-93. Zhao, X., J. G., Lynch, and Q., Chen. (2010). “Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis.” Journal of Consumer Research 37(2): 197– 206. https://doi.org/10.1086/651257 Zhu, K., 2004. “The Complementarity of Information Technology Infrastructure and ECommerce Capability: A Resource-Based Assessment of Their Business Value.” Journal of Management Information Systems 21 (1): 167-202. https://doi.org/10.1080/07421222.2004.11045794 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/119903 |