Technology Adoption Factors for Supreme Audit Institutions
Abstract
Objective –Arguably, there is a shortage of research on how supreme audit institutions can use cutting-edge technologies to make them more effective and stay up with the evolving audit landscape as we are in the 4IR age. Professional auditing and accounting groups encourage using cutting-edge technologies in accounting and auditing duties. However, public sector auditing is trailing behind in the digital transition. Guidelines regarding the elements that superior audit institutions must consider when implementing cutting-edge technologies are still required. This paper fills the gap in the literature by providing technology adoption factors that have been verified for usefulness and practicability and then evaluated in order of significance by experts from eight different countries. Therefore, the findings and recommendations of the paper are applicable and relevant on a global scale.
Design/Methodology –Experts were consulted to validate and rate the importance and practicability of the variables and processes for technology adoption using two Delphi questionnaires.
Results –The technology adoption factors identified were assistance from top management, a plan for embracing technology, and fostering an environment focused on digital culture. Assessing the current systems for compliance with legislation, organization-wide preparation, and the ability to incorporate new technology, ongoing staff training, regulatory compliance, environmental policies, and audit standards are necessary. Evaluating the technology's compatibility and complexity, doing a cost-benefit analysis, and determining whether the auditee platforms are ready for advanced technology auditing were rated as important technology adoption factors by experts.
Keywords
Full Text:
PDFReferences
Ahmad, N., Amer, N. T., Qutaifan, F., & Alhilali, A. (2013). Technology adoption model and a road map to successful implementation of ITIL. Journal of Enterprise Information Management, 26(5), 553–576. https://doi.org/10.1108/JEIM-07-2013-0041
Ahmad, R., Kyratsis, Y., & Holmes, A. (2012). When the user is not the chooser: Learning from stakeholder involvement in technology adoption decisions in infection control. Journal of Hospital Infection, 81(3). https://doi.org/10.1016/j.jhin.2012.04.014
Al-Hiyari, A. (2019). The value relevance of purchased goodwill in Malaysian firms: The pre-and post-IFRS evidence. https://www.researchgate.net/publication/326711731
Al-Okaily, M., Alqudah, H. M., Al-Qudah, A. A., & Alkhwaldi, A. F. (2022). Examining the critical factors of computer-assisted audit tools and techniques adoption in the post-COVID-19 period: internal auditors perspective. VINE Journal of Information and Knowledge Management Systems. https://doi.org/10.1108/VJIKMS-12-2021-0311
Awuah, B., Onumah, J. M., & Duho, K. C. T. (2021). Information Technology Adoption within Internal Auditing in Ghana: Empirical Analysis. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3824403
Bazhal, I. (2009). Inclusive Growth, Innovation and Technological Change: education, social capital and sustainable development. 7th International Conference.
Boillet, J. (2017). How will AI Enable us to Work Faster, Smarter. Available at: https://www.ey.com/en_gl/insights/assurance/how-ai-will-enable-us-to-work-smarter-faster Accessed 28 November 2024
Ceki, B. (2019). Re-purposing audit assurance: The techno-economic implications of blockchain for auditor-client engagements. In T. Moloi & Madelowotan (Eds.), International Conference of Accounting and Business In the 4IR Era. (pp. 222–238).
Ceki, B. (2024). Ceki, B. (2024). A model for the adoption of technologies by the supreme audit institutions. PhD thesis. [Thesis]. University of Johannesburg.
Clohessy, T., Acton, T., & Rogers, N. (2019). Blockchain Adoption: Technological, Organisational and Environmental Considerations. In Business Transformation through Blockchain (pp. 47–76). Springer International Publishing. https://doi.org/10.1007/978-3-319-98911-2_2
Cohen, L., Manion, L., & Morrison, K. (2011). Research Methods in Education. Routledge Editors.
Craig, R., Amernic, J., & Tourish, D. (2014). Perverse audit culture and accountability of the modern public university. Financial Accountability and Management, 30(1), 1–24.
Dwivedi, Y. K., Wastell, D., Laumer, S., Henriksen, H. Z., Myers, M. D., Bunker, D., Elbanna, A., Ravishankar, M. N., & Srivastava, S. C. (2015). Research on information systems failures and successes: Status update and future directions. Information Systems Frontiers, 17(1), 143–157. https://doi.org/10.1007/s10796-014-9500-y
Eulerich, M., Masli, A., Pickerd, J., & Wood, D. A. (2023). The impact of audit technology on audit task outcomes: Evidence for technology‐based audit techniques. Contemporary Accounting Research, 40(2), 981-1012.
Eulerich, M., Pawlowski, J., Waddoups, N. J., & Wood, D. A. (2022). A framework for using robotic process automation for audit tasks. Contemporary Accounting Research, 39(1), 691–720.
Fotoh, L. E., & Lorentzon, J. I. (2020). Critical issues of the audit expectation gap in the era of audit digitalisation.
Green, P. (1982). The Content of a College-Level Outdoor Leadership Course.
Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32(4), 1008–1015.
Hess, T., Matt, C., Benlian, A., & Wiesböck, F. (2016). Options for formulating a digital transformation strategy. MIS Quarterly Executive, 15(2), 123–139.
Hsu, C. C., & Sandford, B. A. (2019). The Delphi technique: making sense of consensus. Practical Assessment, Research, and Evaluation, 12(10), 10.
IAASB, (2017). Exploring the Growing Use of Technology in the Audit, with a Focus on Data Analytics. Available at: https://www.iaasb.org/publications/exploring-growing-use-technology-audit-focus-data-analytics. Accessed 25 July 2020.
Kraus, S., Jones, P., Kailer, N., Weinmann, A., Chaparro-Banegas, N., & Roig-Tierno, N. (2021). Digital Transformation: An Overview of the Current State of the Art of Research. SAGE Open, 11(3). https://doi.org/10.1177/21582440211047576
Li, H., Dai, J., Gershberg, T., & Vasarhelyi, M. A. (2018). Understanding usage and value of audit analytics for internal auditors: An organizational approach. International Journal of Accounting Information Systems, 28, 59–76. https://doi.org/10.1016/j.accinf.2017.12.005
Lian, J. W., Yen, D. C., & Wang, Y. T. (2014). An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital. International Journal of Information Management, 34(1), 28–36.
Liao, L. , & Teo, E. A. L. (2019). Managing critical drivers for building information modelling implementation in the Singapore construction industry: an organizational change perspective. International Journal of Construction Management, 19(3), 240–256.
Ludwig, B. (1997). Predicting the future: Have you considered using the Delphi methodology?. Journal of extension.
Manrai, R., & Gupta, K. P. (2023). Investor’s perceptions on artificial intelligence (AI) technology adoption in investment services in India. Journal of Financial Services Marketing, 28(1), 1–14.
Martins, R., & Thomas, M. A. (2016). An empirical analysis to assess the determinants of SaaS diffusion in firms. Computers in Human Behavior, 62(1), 19–33.
Nathalie, B., Geneva, H., & Jean-Henry, M. (2018). The Potential Impact of Blockchain Technology on Audit Practice. Journal of Strategic Innovation and Sustainability, 14(2), 35–39.
Otia, J. E., & Bracci, E. (2022). Digital transformation and the public sector auditing: The SAI’s perspective. Financial Accountability and Management, 38(2), 252–280. https://doi.org/10.1111/faam.12317
Pedrosa, I., Costa, C. J., & Aparicio, M. (2020). Determinants adoption of computer-assisted auditing tools (CAATs). Cognition, Technology and Work, 22(3), 565–583. https://doi.org/10.1007/s10111-019-00581-4
Perez, C. (2009). Technological revolutions and techno-economic paradigms. Cambridge Journal of Economics, 34(1), 185–202. https://doi.org/10.1093/cje/bep051
Puklavec, B., Oliveira, T., & Popovič, A. (2018). Understanding the Determinants of Business Intelligence System Adoption Stages: An Empirical Study of SMEs. Industrial Management & Data Systems, 118(1), 236–261. https://doi.org/10.1108/IMDS-05
Saunders, M., Lewis, P., & Thornhill, A. (2016). Research Methods for Business Students (7th ed.). Pearson Education Limited.
Sayginer, C., & Ercan, T. (2020). Understanding determinants of cloud computing adoption using an integrated diffusion of innovation (doi)-technological, organizational and environmental (toe) model. Humanities & Social Sciences Reviews, 8(1), 91–102. https://doi.org/10.18510/hssr.2020.8115
Schlaepfer, R., Von Radowitz, K., Koch, M., & Merkofer, P. (2017). Digital future-readiness – How do companies prepare for the opportunities and challenges of digitalization? https://www2.deloitte.com/content/dam/Deloitte/ch/Documents/consumerbusiness/ch-cip-en-swiss-transformation.pdf
Scholtes, J. (2020). Text mining and e-discovery for big data audits. ECA Journal, 1, 133–140.
Seethamraju, R. (2015). Adoption of software as a service (SaaS) enterprise resource planning (ERP) system in small and medium-sized enterprises (SMEs). Information Systems Frontiers, 17, 475–492.
Seethamraju, R., & Hecimovic, A. (2023). Adoption of artificial intelligence in auditing: An exploratory study. Australian Journal of Management, 48(4), 780–800.
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.
Sourani, A., & Sohail, M. (2015). The Delphi method: Review and use in construction management research. International Journal of Construction Education and Research, 11(1), 54–76.
Teichert, R. (2019). Digital transformation maturity: A systematic review of literature. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 67(6), 1673–1687. https://doi.org/10.11118/actaun201967061673
Widuri, R., Ferdiansyah, I., & Kongchan, P. (2021). The influence of culture, technology, organization, and environment on the adoption of computer-assisted audit techniques. PalArch’s Journal of Archaeology of Egypt/Egyptology, 18(1), 494–504.
Widuri, R., O’Connell, B., & Yapa, P. W. (2016). Adopting generalized audit software: an Indonesian perspective. Management Audit Journal, 31(8/9), 821–847.
Yahya, M. R., Jalaluddin, & Batara, G. (2024). Current auditor expertise and future relevance of innovative audit technology: evidence from Indonesia public sector auditor. Asia Pacific Journal of Public Administration, 46(4), 471–487. https://doi.org/doi.org/10.1080/23276665.2024.2312139
Yang, R., & Wibowo, S. (2022). User trust in artificial intelligence: A comprehensive conceptual model. ,Electronic Markets, 32(4), 2053–2077.
Yusif, S., Hafeez-Baig, A., & Soar, J. (2020). Change management and adoption of health information technology (HIT)/eHealth in public hospitals in Ghana: A qualitative paper. Applied Computing and Informatics, 18(3/4), 279–289.
Zhang, C., Dai, J., & Vasarhelyi, M. A. (2018). The impact of disruptive technologies on accounting and auditing education. CPA Journal, 88(9), 20–26.
DOI: https://doi.org/10.24815/jaroe.v7i3.37550
Article Metrics
Abstract view : 0 timesPDF - 0 times
Refbacks
- There are currently no refbacks.
Published by:
Department of Accounting
Faculty of Economics and Business
Universitas Syiah Kuala
Kopelma Darussalam, Banda Aceh, Indonesia - 23111
E-ISSN: 2621-1041

Journal of Accounting Research, Organization and Economics by the Department of Accounting, Faculty of Economics and Business, Universitas Syiah Kuala is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at http://www.jurnal.usk.ac.id/JAROE/index.


