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Determinants Affecting Intention of Use of Big Data Analytics on Remote Audits: TOE Framework Approach

Published: 20 July 2021 Publication History

Abstract

During the COVID-19 pandemics, auditors are required to do remote audit from their home or office. With the limitation of movement of the auditor, big data is the solution for the auditor as the data availability in large amounts in order to make the right decision where the process can be done quickly in effective and efficient ways. In order to help auditors do their jobs, it requires a supporting factor on doing remote audit which is technology, organization and environment. The possibilities to do audit with population based increased the fraud detection and quality of audit generated by the audit process. This article intends to define the differences, roles, fraud detection and impact of big data analytics on audit quality generated from remote audit process. This study used questionnaire to the respondents who have criteria of having experience in audit process, in order to determine which factors influence remote audit process.

References

[1]
K. Deniswara, B. L. Handoko, and A. N. Mulyawan, “Big data analytics: Literature study on how big data works towards accountant millennial generation,” Int. J. Manag., vol. 11, no. 5, pp. 376–389, 2020.
[2]
B. L. Handoko, A. N. Mulyawan, J. Tanuwijaya, and F. Tanciady, “Big Data in Auditing for the Future of Data Driven Fraud Detection,” Int. J. Innov. Technol. Explor. Eng., vol. 9, no. 3, 2020.
[3]
D. Appelbaum, A. Kogan PhD, and M. A. Vasarhelyi PhD, “Introduction to Data Analysis for Auditors and Accountants: Certified Public Accountant,” CPA J., 2017.
[4]
L. Tornatzky and M. Fletscher, “The Deployment of Technology,” in The Processes of Technological Innovation, 1990, pp. 118–147.
[5]
M. J. A. Bick, : “Diffusion of Innovations . Everett M. Rogers.,” Am. Anthropol., 1963.
[6]
E. M. Rogers, A. Singhal, and M. M. Quinlan, “Diffusion of innovations,” in An Integrated Approach to Communication Theory and Research, Third Edition, 2019.
[7]
M. El-Helaly, C. G. Ntim, and M. Al-Gazzar, “Diffusion theory, national corruption and IFRS adoption around the world,” J. Int. Accounting, Audit. Tax., vol. 38, p. 100305, 2020.
[8]
S. A. Li, L. Jeffs, M. Barwick, and B. Stevens, “Organizational contextual features that influence the implementation of evidence-based practices across healthcare settings: A systematic integrative review,” Syst. Rev., vol. 7, no. 1, 2018.
[9]
P. Russom, “Introduction to Big Data Analytics,” 2011.
[10]
S. Fosso Wamba, S. Akter, A. Edwards, G. Chopin, and D. Gnanzou, “How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study,” Int. J. Prod. Econ., vol. 165, pp. 234–246, 2015.
[11]
R. A. Teeter, M. G. Alles, and M. A. Vasarhelyi, “The remote audit,” J. Emerg. Technol. Account., vol. 7, no. 1, pp. 73–88, 2010.
[12]
P. Castka, C. Searcy, and S. Fischer, “Technology-enhanced auditing in voluntary sustainability standards: The impact of COVID-19,” Sustain., vol. 12, no. 11, pp. 1–24, 2020.
[13]
S. Verma, S. S. Bhattacharyya, and S. Kumar, “An extension of the technology acceptance model in the big data analytics system implementation environment,” Inf. Process. Manag., vol. 54, no. 5, pp. 791–806, 2018.
[14]
H. Li, J. Dai, T. Gershberg, and M. A. Vasarhelyi, “Understanding usage and value of audit analytics for internal auditors: An organizational approach,” Int. J. Account. Inf. Syst., vol. 28, no. November 2017, pp. 59–76, 2018.
[15]
B. L. Handoko, N. Ayuanda, and A. T. Marpaung, “Organizational, Social and Individual Aspect on Acceptance of Computerized Audit in Financial Audit Work,” Adv. Sci. Technol. Eng. Syst. J., vol. 5, no. 3, pp. 55–61, 2020.
[16]
M. S. Kamarulzaman and N. H. Hassan, “A Review on Factors for Big Data Adoption towards Industry 4.0,” Open Int. J. Informatics, vol. 7, no. 2, pp. 200–207, 2019.
[17]
K. Rosli, E.-G. Siew, and P. H. P. Yeow, “Technological, Organisational and Environmental Aspects of Audit Technology Acceptance,” Int. J. Bus. Manag., vol. 11, no. 5, p. 140, 2016.
[18]
M. Pizzini, S. Lin, and D. E. Ziegenfuss, “The impact of internal audit function quality and contribution on audit delay,” Auditing, 2015.
[19]
J. T. Roscoe, Fundamental Research Statistics for the Behavioural Sciences. New York: Holt Rinehart & Winston, 1975.
[20]
Sugiyono, Metode Education Research. Approach Quantitative, Qualitative, and R & D. Bandung: Alfabeta, 2011.
[21]
K. Rosli, P. Yeow, and E.-G. Siew, “Factors Influencing Audit Technology Acceptance by Audit Firms: A New I-TOE Adoption Framework,” J. Account. Audit. Res. Pract., vol. 2012, pp. 1–11, 2012.
[22]
M. Tarek, E. K. A. Mohamed, M. M. Hussain, and M. A. K. Basuony, “The implication of information technology on the audit profession in developing country: Extent of use and perceived importance,” Int. J. Account. Inf. Manag., vol. 25, no. 2, pp. 237–255, 2017.
[23]
K. Rosli, P. H. P. Yeow, and S. Eu-Gene, “Adoption of audit technology in audit firms,” Proc. 24th Australas. Conf. Inf. Syst., no. December, 2013.
[24]
J. Bierstaker, D. Janvrin, and D. J. Lowe, “What factors influence auditors’ use of computer-assisted audit techniques?,” Adv. Account., vol. 30, no. 1, pp. 67–74, 2014.
[25]
E. G. Siew, K. Rosli, and P. H. P. Yeow, “Organizational and environmental influences in the adoption of computer-assisted audit tools and techniques (CAATTs) by audit firms in Malaysia,” Int. J. Account. Inf. Syst., vol. 36, no. xxxx, p. 100445, 2020.
[26]
R. Widuri, B. L. Handoko, and I. C. Prabowo, “Adoption of information technology in public accounting firm,” 2019.
[27]
D. Janvrin, J. Bierstaker, and D. J. Lowe, “Accounting Horizons,” Account. Horizons, vol. 30, no. 4, pp. 525–528, 2016.
[28]
P. Harsanti, I. Ghozali, and A. Chariri, “Determinants of internal auditors behavior in whistle blowing with formal retaliation and structural anonimity line as moderating variables (empirical study at state-owned enterprises in Indonesia),” Int. J. Appl. Bus. Econ. Res., 2016.
[29]
I. Ghozali and L. Hengky, Konsep, Teknik Dan Aplikasi Menggunakan Program Smart PLS 3.0. 2015.
[30]
U. Sekaran and R. Bougie, “Research Methods For Business. A Skill Builing Approch. 7th Edition,” Book, 2016.

Cited By

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  • (2023)Comparing Critical Factors for Big Data Analytics (BDA) Adoption Among Malaysian Manufacturing and Construction SMEsOpen Innovation in Small Business10.1007/978-981-99-5142-0_8(117-133)Online publication date: 26-Sep-2023
  • (2022)Financial Auditor Efficiency and Effectiveness in Remote Audit Transition Due to Pandemic of Covid-192022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)10.1109/ICIMCIS56303.2022.10017564(94-98)Online publication date: 16-Nov-2022

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cover image ACM Other conferences
ICETT '21: Proceedings of the 2021 7th International Conference on Education and Training Technologies
April 2021
163 pages
ISBN:9781450389662
DOI:10.1145/3463531
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 20 July 2021

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Author Tags

  1. Analysis
  2. Audit
  3. Big Data
  4. Remote
  5. TOE Framework

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  • Research
  • Refereed limited

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ICETT 2021

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Cited By

View all
  • (2023)Comparing Critical Factors for Big Data Analytics (BDA) Adoption Among Malaysian Manufacturing and Construction SMEsOpen Innovation in Small Business10.1007/978-981-99-5142-0_8(117-133)Online publication date: 26-Sep-2023
  • (2022)Financial Auditor Efficiency and Effectiveness in Remote Audit Transition Due to Pandemic of Covid-192022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)10.1109/ICIMCIS56303.2022.10017564(94-98)Online publication date: 16-Nov-2022

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