Bambang Leo Handoko
ABSTRACT
Technological developments have penetrated all sectors of the economy, including accounting and auditing. As companies and technology develop, auditors are now dealing with clients with the big data scope. Nowadays we have large amount of data from transactions and others. Thus auditors also need technology to compensate for the complexity of their work. Blockchain technology is present as a solution for auditors to be able to keep abreast of the times in the era of the industrial revolution. Our research tries to analyze quantitatively the factors that make auditors want to adopt blockchain. We use UTAUT 2 as the grand theory on which this research is based. The construct or latent variable in UTAUT 2 is used to predict the behavior of auditors in adopting blockchain. We use primary data from distributing questionnaires to auditors, then we perform statistical data to test the hypothesis. Our results suggest that performance expectancy, effort expectancy, hedonic motivation and habit have a significant effect on behavioral intention. Meanwhile, facilitating conditions and habits have a significant effect on the use behavior of auditors in adopting blockchain.
- S. H. Fuller and A. J. Markelevich, “Should Accountant Care About Blockchain?,” J. Corp. Account. Financ., vol. 31, no. 2, pp. 34–46, 2020, doi: 10.1002/jcaf.22424.Google Scholar
Cross Ref
- S. Sinha, “Blockchain—Opportunities and challenges for accounting professionals,” J. Corp. Account. Financ., vol. 31, no. 2, pp. 65–67, 2020, doi: 10.1002/jcaf.22430.Google ScholarCross Ref
- D. Brandon, “The blockchain: The future of business information systems?,” Int. J. Acad. World, vol. 10, no. 2, pp. 33–40, 2016.Google Scholar
- A. Gross, J. Hemker, J. Hoelscher, and B. Reed, “The role of secondary sources on the taxation of digital currency (Bitcoin) before IRS guidance was issued,” J. Account. Educ., vol. 39, no. 1, pp. 48–54, 2017, doi: 10.1016/j.jaccedu.2017.02.001.Google ScholarCross Ref
- J. Dai and M. A. Vasarhelyi, “Toward Blockchain-Based Accounting and Assurance,” J. Inf. Syst., vol. 31, no. 3, pp. 5–21, 2017, doi: 10.2308/isys-51804.Google ScholarCross Ref
- J. Kokina, R. Mancha, and D. Pachamanova, “Blockchain: Emergent Industry Adoption and Implications for Accounting,” J. Emerg. Technol. Account., vol. 14, no. 2, pp. 91–100, 2017, doi: 10.2308/jeta-51911.Google ScholarCross Ref
- B. S. Tan and K. Y. Low, “Blockchain as the Database Engine in the Accounting System,” Aust. Account. Rev., vol. 29, no. 2, pp. 312–318, 2019, doi: 10.1111/auar.12278.Google ScholarCross Ref
- N. Andersen, “Blockchain Technology A game-changer in accounting?,” 2016.Google Scholar
- S. Ølnes, J. Ubacht, and M. Janssen, “Blockchain in government: Benefits and implications of distributed ledger technology for information sharing,” Gov. Inf. Q., vol. 34, no. 3, pp. 355–364, 2017, doi: 10.1016/j.giq.2017.09.007.Google ScholarCross Ref
- D. Yermack, “Corporate Governance and Blockchains,” Rev. Financ., vol. 21, no. 1, pp. 7–31, 2017, doi: 10.1093/rof/rfw074.Google ScholarCross Ref
- KPMG, “KPMG's Distributed Ledger Services meet Luxembourg,” 2016.Google Scholar
- PwC, “What's next for blockchain in 2016?,” 2016.Google Scholar
- EY, “How blockchain will revolutionize finance and auditing,” 2019. .Google Scholar
- CPA, AICPA, and UWCISA, “Blockchain Technology and Its Potential Impact on the Audit and Assurance Profession,” 2017.Google Scholar
- I. Allison, “Deloitte, Libra, Accenture: The work of auditors in the age of Bitcoin 2.0 technology,” International Business Times, 2015. .Google Scholar
- A. W. Anderson, “4 Keys to the Future of Audit,” 2017.Google Scholar
- E. Bonsón and M. Bednárová, “Blockchain and its implications for accounting and auditing,” Meditari Account. Res., vol. 27, no. 5, pp. 725–740, 2019, doi: 10.1108/MEDAR-11-2018-0406.Google ScholarCross Ref
- J. G. Coyne and P. L. McMickle, “Can Blockchains Serve an Accounting Purpose?,” J. Emerg. Technol. Account., vol. 14, no. 2, pp. 101–111, 2017, doi: 10.2308/jeta-51910.Google ScholarCross Ref
- M. Iansiti and K. R. Lakhani, “The Truth About Blockchain,” Harvard Business Review, 2017. .Google Scholar
- S. Psaila, “Blockchain: A game changer for audit processes,” Deloitte, 2017. .Google Scholar
- C. Findlay, “Decentralised and inviolate: the blockchain and its uses for digital archives,” Recordkeeping Roundtable, 2015. .Google Scholar
- F. Veerankutty, T. Ramayah, and N. A. Ali, “Information Technology Governance on Audit Technology Performance among Malaysian Public Sector Auditors,” Soc. Sci., vol. 7, no. 8, p. 124, 2018, doi: 10.3390/socsci7080124.Google ScholarCross Ref
- M. G. Alles, “Drivers of the Use and Facilitators and Obstacles of the Evolution of Big Data by the Audit Profession,” Account. Horizons, vol. 29, no. 2, pp. 439–449, 2015, doi: doi.org/10.2308/acch-51067.Google ScholarCross Ref
- B. L. Handoko, G. Soepriyanto, and A. S. L. Lindawati, “Technology Acceptance Model on Micro Business Owner in Grogol Petamburan District,” 2019, doi: 10.1145/3335484.3335498.Google ScholarDigital Library
- B. L. Handoko, “UTAUT 2 model for entrepreneurship students on adopting technology,” 2020, doi: 10.1109/ICIMTech50083.2020.9211185.Google ScholarCross Ref
- V. Venkatesh, J. Y. L. Thong, and X. Xu, “Consumer Acceptance and Use of Information Technology: Extending the Unified Theory,” MIS Q., vol. 36, no. 1, pp. 157–178, 2012, doi: 10.1017/CBO9781107415324.004.Google ScholarCross Ref
- B. L. Handoko, “Application of UTAUT theory in higher education online learning,” 2019, doi: 10.1145/3345035.3345047.Google ScholarDigital Library
- V. Venkatesh, M. G. Morris, M. Hall, G. B. Davis, F. D. Davis, and S. M. Walton, “User acceptance of information technology: Toward a unified view,” MIS Q., vol. 27, no. 3, pp. 425–478, 2003, doi: 10.2307/30036540.Google ScholarCross Ref
- L. Adiwibowo, R. Hurriyati, and M. Sari, “Analisis perilaku pengguna teknologi informasi pada Perguruan Tinggi berstatus BHMN: studi pada kualitas layanan sistem teknologi informasi di Universitas Pendidikan Indonesia,” 2010.Google Scholar
- K. Al-Qeisi, C. Dennis, E. Alamanos, and C. Jayawardhena, “Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology,” J. Bus. Res., vol. 67, no. 11, pp. 2282–2290, 2014, doi: 10.1016/j.jbusres.2014.06.016.Google ScholarCross Ref
- S. A. Brown and V. Venkatesh, “Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle,” MIS Q., vol. 29, no. 3, pp. 399–426, 2005, doi: 10.2307/25148690.Google ScholarCross Ref
- W. B. Dodds, K. B. Monroe, and D. Grewal, “Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations,” J. Mark. Res., vol. 28, no. 3, pp. 307–319, 1991, doi: 10.2307/3172866.Google ScholarCross Ref
- J. Frankenfield, “On Chain Transactions (Cryptocurrency),” Investopedia, 2021. .Google Scholar
- C. Chedrawi and P. Howayeck, “Audit in the Blockchain era within a principal-agent approach,” 2018.Google Scholar
- N. Duli, Metodologi Penelitian Kuantitatif: Beberapa Konsep Dasar Untuk Penulisan Skripsi & Analisis Data dengan SPSS. 2019.Google Scholar
- A. Febriansyah, “Tinjauan Atas Proses Penyusunan Laporan Keuangan Pada Young Enterpreneur Academy Indonesia Bandung,” J. Ris. Akunt., vol. 8, no. 2, 2016, doi: 10.34010/JRA.V8I2.525.Google ScholarCross Ref
- N. I. Pratiwi, “Penggunaan Media Video Call dalam Teknologi Komunikasi,” J. Ilm. Din. Sos., vol. 1, no. 2, pp. 202–224, 2017.Google Scholar
- J. T. Roscoe, Fundamental Research Statistics for the Behavioral Sciences. New York: Holt, Rinehart and Winston, 1975.Google Scholar
- G. Anuraga, E. Sulistiyawan, and S. Munadhiroh, “Structural Equation Modeling – Partial Least Square untuk Pemodelan Indeks Pembangunan Kesehatan Masyarakat (IPKM) di Jawa Timur,” pp. 257–263, 2017.Google Scholar
- I. Ghozali and L. Hengky, Konsep, Teknik Dan Aplikasi Menggunakan Program Smart PLS 3.0. 2015.Google Scholar
- U. Sekaran and R. Bougie, Research Methods For Business: A Skill Building Approach, 7th, abrigat ed. John Wiley & Sons, 2016, 2016Google Scholar
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