Technology adoption theories in examining the uptake of blockchain technology in the framework of functionalist and interpretive paradigms
DOI:
https://doi.org/10.14267/VEZTUD.2020.11.03Keywords:
blockchain technology, functionalism, interpretivism, sensemakingAbstract
The purpose of this paper is to examine the adoption process of emerging technology on the example of blockchain. The theoretical interpretation of blockchain acceptance and its implications are discussed from the positions of technology adoption theories (diffusion of innovation theory, the technology acceptance model, the unified theory of acceptance and use of technology, the technology – organisation – environment framework) as well as sensemaking theory. These theoretical models help understand the perception among end-users (e.g. supply chain practitioners) and facilitate technology diffusion among enterprises. Due to the novelty of the research field, the analysis revealed that current studies were conducted within the functionalist paradigm; however, studies on blockchain implementation can be equally done in the interpretive paradigm. The results indicate a shortage of empirical research investigations and the need for greater theory elaboration to accelerate the adoption process within organisations.
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References
Globalization and information technology: Four paradigmatic views. Technology in Society, 33(1 – 2), 59 – 72. https://doi.org/10.1016/j.techsoc.2011.03.006
Barley, S. R. (1986). Technology as an occasion for structuring: Evidence from observations of CT scanners and the social order of radiology departments. Administrative Science Quarterly, 31(1), 78. https://doi.org/10.2307/2392767
Baum, J. A. C., & Haveman, H. A. (2020). Editors’ comments: The future of organisational theory. Academy of Management Review, 45(2), 268 – 272. https://doi.org/10.5465/amr.2020.0030
Briner, R. B., & Walshe, N. D. (2014). From passively received wisdom to actively constructed knowledge: Teaching systematic review skills as a foundation of evidence-based management. Academy of Management Learning & Education, 13(3), 415 – 432. https://doi.org/10.5465/amle.2013.0222
Burrell, G., & Morgan, G. (1979). Sociological paradigms and organisational analysis: Elements of the sociology of corporate life. Heinemann. https://doi.org/10.4324/9781315242804
Butler, T., & Murphy, C. (2007). Understanding the design of information technologies for knowledge management in organisations: A pragmatic perspective. Information Systems Journal, 17(2), 143 – 163. https://doi.org/10.1111/j.1365-2575.2007.00237.x
Casino, F., Dasaklis, T. K., & Patsakis, C. (2019). A systematic literature review of blockchain-based applications: Current status, classification and open issues. Telematics and Informatics, 36, 55 –81. https://doi.org/10.1016/j.tele.2018.11.006
Chia, R. (2003). Organisation theory as postmodern science. In H. Tsoukas & Ch. Knudsen (Eds.), The Oxford handbook of organisation theory (pp. 113 –140). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199275250.003.0005
Clohessy, T., Acton, T., & Rogers, N. (2019). Blockchain adoption: Technological, organisational and environmental considerations. In H. Treiblmaier & R. Beck. Business transformation through blockchain, 1 ( pp. 4 7 – 7 6). L ondon: P algrave Macmillan. https://doi.org/10.1007/978-3-319-98911-2.
Crosby, M., Nachiappan, Pattanayak, P., Verma, S., & Kalyanaraman, V. (2016). Blockchain technology: Beyond bitcoin. Applied Innovation, 2, 6 – 9. Cunliffe, A. (2011). Crafting qualitative research: Morgan and Smircich 30 years on. Organisational Research Methods, 14(4), 648 – 673. https://doi.org/10.1177/1094428110373658
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319 – 339. https://doi.org/10.2307/249008
Demeter, K., & Losonci, D. (2020). Business and technological perspectives of Industry 4.0 A framework for thinking with case illustration Vezetéstudomány / Budapest Management Review, 51(5), 2 – 14.https://doi.org/10.14267/VEZTUD.2020.05.01
Donaldson, L. (2003). Organisation theory as a positive science. In H. Tsoukas & Ch. Knudsen (Eds.), The Oxford handbook of organisation theory (pp. 39 – 62). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199275250.003.0002
Folkinshteyn, D., & Lennon, M. (2016). Braving bitcoin: A technology acceptance model (TAM) analysis. Journal of Information Technology Case and Application Research, 18(4), 220 – 249. https://doi.org/10.1080/15228053.2016.1275242
Frizzo-Barker, J., Chow-White, P. A., Adams, P. R., Mentanko, J., Ha, D., & Green, S. (2020). Blockchain as a disruptive technology for business: A systematic review. International Journal of Information Management, 51, 102029. https://doi.org/10.1016/j.ijinfomgt.2019.10.014
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of Internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211 – 231. https://doi.org/10.1108/APJML-06-2013-0061
Gioia, D. A., & Pitre, E. (1990). Multiparadigm perspectives on theory building. The Academy of Management Review, 15(4), 584 – 602. https://doi.org/10.5465/amr.1990.4310758
Grover, P., Kar, A. K., & Janssen, M. (2019). Diffusion of blockchain technology. Journal of Enterprise Information Management, 32(5), 735 – 757. https://doi.org/10.1108/jeim-06-2018-0132
Hart, C. (1998). Doing a literature review: Releasing the social science research Imagination. Thousand Oaks: Sage.
Hatch, M. J., & Yanow, D. (2003). Organisation theory as an interpretive science. In H. Tsoukas & Ch. Knudsen (Eds.), The Oxford handbook of organisation theory (pp. 63 – 87). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199275250.003.0003
Hughes, L., Dwivedi, Y. K., Misra, S. K., Rana, N. P., Raghavan, V., & Akella, V. (2019). Blockchain research, practice and policy: Applications, benefits, limitations, emerging research themes and research agenda. International Journal of Information Management, 49, 114 – 129. https://doi.org/10.1016/j.ijinfomgt.2019.02.005
Iacovou, C. L., Benbasat, I., & Dexter, A. S. (1995). Electronic data interchange and small organisations: Adoption and impact of technology. MIS Quarterly, 19(4), 465 – 485. https://doi.org/10.2307/249629
Iansiti, M., & Lakhani, K. R. (2017). The truth about blockchain. Harvard Business Review, 95(1), 118 – 127.
Kamble, S., Gunasekaran, A., & Arha, H. (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
Kane, E. (2017). Is blockchain a general-purpose technology? http://dx.doi.org/10.2139/ssrn.2932585
Kitchenham, B., & Brereton, P. (2013). A systematic review of systematic review process research in software engineering. Information and software technology, 55(12), 2049 – 2075. https://doi.org/10.1016/j.infsof.2013.07.010
Kshetri, N. (2018). 1 Blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management, 39, 80 – 89. https://doi.org/10.1016/j.ijinfomgt.2017.12.005
Lewis, M., & Kelemen, M. (2002). Multiparadigm inquiry: Exploring organisational pluralism and paradox. Human Relations, 55(2), 251 – 275. https://doi.org/10.1177/0018726702055002185
Lewis, M. W., & Grimes, A. J. (1999). Building theory from multiple paradigms. The Academy of Management Review, 24(4), 672 – 690. https://doi.org/10.5465/amr.1999.2553247
Nakamoto, S. (2008). Bitcoin: A peer‐to‐peer electronic cash system. https://bitcoin.org/bitcoin.pdf
Ozdagoglu, G., Damar, M., & Ozdagoglu, A. (2020). The state of the art in blockchain research (2013 – 2018): Scientometrics of the related papers in Web of Science and Scopus. In U. Hacioglu (Ed.), Digital Business Strategies in Blockchain Ecosystems (pp. 569 – 599). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-030-29739-8_27
Pan, X, Pan, X., Song, M., Ai, B., & Ming, Y. (2020). Blockchain technology and enterprise operational capabilities: An empirical test. International Journal of Information Management, 52, 101946. https://doi.org/10.1016/j.ijinfomgt.2019.05.002
Parasuraman, A. (2000). Technology readiness index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307 – 320. https://doi.org/10.1177/109467050024001
Pilkington, M. (2016). Blockchain technology: Principles and applications. In F. Olleros & M. Zhegu (Eds.), Research handbook on digital transformations (pp. 225 – 253). London: Edward Elgar. https://doi.org/10.4337/9781784717766.00019
Prasad, P., & Prasad, A. (2000). Stretching the iron cage: The constitution and implications of routine workplace resistance. Organisation Science, 11(4), 387 – 403. https://doi.org/10.1287/orsc.11.4.387.14597
Puel, J. M., Chreng-Messembourg, D., & Cota, B. (2020). Enterprise blockchain 2020. Data driven insights into the uncharted enterprise blockchain world & data economy. LeadBlock Partners. Retrieved from http://leadblockpartners.com/docs/Enterprise%20Blockchai n%202020%20 -%20Lead Block%20Partners.pdf
Queiroz, M. M., & Wamba, S. F. (2019). Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA. International Journal of Information Management, 46, 70 – 82. https://doi.org/10.1016/j.ijinfomgt.2018.11.021
Rogers, E. M. (1995). Diffusion of innovations, 12. Free Press.
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2018). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117 – 2135. https://doi.org/10.1080/00207543.2018.1533261
Schmidt, C. G., & Wagner, S. M. (2019). Blockchain and supply chain relations: A transaction cost theory perspective. Journal of Purchasing and Supply Management, 25(4). https://doi.org/10.1016/j.pursup.2019.100552
Somin, S., Altshuler, Y., Gordon, G., Pentland, A. S., & Shmueli, E. (2020). Network dynamics of a financial ecosystem. Scientific Reports, 10, 4587. https://doi.org/10.1038/s41598-020-61346-y
Sternberg, H. S., Hofmann, E., & Roeck, D. (2020). The struggle is real: Insights from a supply chain blockchain case. Journal of Business Logistics, 1 – 17. https://doi.org/10.1111/jbl.12240
Sun, S., Cegielski, C. G., Jia, L., & Hall, D. J. (2018). Understanding the factors affecting the organisational adoption of big data. Journal of Computer Information Systems, 58(3), 193 – 203. https://doi.org/10.1080/08874417.2016.1222891
Swan, M. (2015). Blockchain: Blueprint for a new economy. O’Reilly Media.
Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). The process of technological innovation. Lexington Books.
Treiblmaier, H. (2018). The impact of the blockchain on the supply chain: A theory-based research framework and a call for action. Supply Chain Management, 23(6), 545 – 559. https://doi.org/10.1108/SCM-01-2018-0029
Vegh, D., & Primecz, H. (2019). The importance of paradigm reflexivity in the era of evidence-based management. Academy of Management Proceedings, 1, 11340. https://doi.org/10.5465/ambpp.2019.11340abstract
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
Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and user of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157 – 178. https://doi.org/10.2307/41410412
Wamba, S. F., & Queiroz, M. M. (2020). Blockchain in the operations and supply chain management: Benefits, challenges and future research opportunities. International Journal of Information Management, 52, 102064. https://doi.org/10.1016/j.ijinfomgt.2019.102064
Wang, Y., Singgih, M., Wang, J., & Rit, M. (2019). Making sense of blockchain technology: How will it transform supply chains? International Journal of Production Economics, 211(C), 221 – 236. https://doi.org/10.1016/j.ijpe.2019.02.002
Weick, K. E. (1990). Technology as equivoque: Sensemaking in new technologies. In P. S. Goodman & L. S. Sproull (Eds.), Technology and organisations (pp. 1 – 44). Jossey-Bass.
Weick, K. E., Sutcliffe, K. M., & Obstfeld, D. (2005). Organising and the process of sensemaking. Organisation Science, 16(4), 409 – 421. https://doi.org/10.1287/orsc.1050.0133
Wong, L. W., Leong, L. Y., Hew, J. J., Tan, G. W. H., & Ooi, K. B. (2020a). 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., Tan, G. W. H., Lee, V. H., Ooi, K. B., & Sohal, A. (2020b). Unearthing the determinants of blockchain adoption in supply chain management. International Journal of Production Research, 58(7), 2100 – 2123. https://doi.org/10.1080/00207543.2020.1730463
Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016). Where is current research on blockchain technology? – A systematic review. PLoS ONE, 11(10), e0163477. https://doi.org/10.1371/journal.pone.0163477
Zhu, J., & Liu, W. (2020). A tale of two databases: The use of Web of Science and Scopus in academic papers. Scientometrics, 123, 321 – 335. https://doi.org/10.1007/s11192-020-03387-8
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