Explaining the Effect of Digital Transformation and Financial Intelligence on Firms’ Economic Resilience under Conditions of Environmental Uncertainty
Keywords:
Digital transformation, financial intelligence, economic resilience, environmental uncertainty, thematic analysis, firmsAbstract
This study aimed to explain the effect of digital transformation and financial intelligence on firms’ economic resilience under conditions of environmental uncertainty. This qualitative study was conducted using a thematic analysis design. The participants included financial managers, financial IT managers, internal auditors, financial analysts, and senior executives of firms located in Tehran. Purposeful and snowball sampling techniques were used, and theoretical saturation was reached after 22 semi-structured interviews. The interviews lasted between 45 and 75 minutes and were transcribed verbatim. Data were analyzed using NVivo software through open, axial, and selective coding. To enhance trustworthiness, member checking, peer debriefing, constant comparison, audit trail documentation, and iterative review of codes and themes were employed. The analysis resulted in five main categories: “digital infrastructure and integration of financial data,” “financial intelligence and cash-flow predictability,” “strategic agility and resource reconfiguration,” “data governance, risk control, and financial transparency,” and “cultural, institutional, and skill-related barriers to digital transformation.” Participants emphasized that digital transformation contributes to economic resilience only when it goes beyond software adoption and becomes embedded in data integration, predictive decision-making, risk control, organizational learning, and business model flexibility. Financial intelligence was also found to enhance firms’ resilience by enabling liquidity forecasting, scenario analysis, real-time monitoring of financial indicators, early detection of financial risk, and reduced dependence on intuitive managerial judgments. The findings suggest that digital transformation and financial intelligence can strengthen firms’ economic resilience in uncertain environments when they are supported by human capabilities, data governance, organizational agility, and a strategic approach to technology implementation. Therefore, digital financial systems should be understood not merely as operational tools but as dynamic capabilities that enable firms to anticipate shocks, absorb disruptions, adapt financial decisions, and recover more effectively from environmental volatility.
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References
Appelbaum, D., Kogan, A., & Vasarhelyi, M. A. (2017). Big data and analytics in the modern audit engagement: Research needs. Auditing: A Journal of Practice & Theory, 36(4), 1–27. https://doi.org/10.2308/ajpt-51684
Bhamra, R., Dani, S., & Burnard, K. (2011). Resilience: The concept, a literature review and future directions. International Journal of Production Research, 49(18), 5375–5393. https://doi.org/10.1080/00207543.2011.563826
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. V. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471–482. https://doi.org/10.25300/MISQ/2013/37:2.3
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Cockcroft, S., & Russell, M. (2018). Big data opportunities for accounting and finance practice and research. Australian Accounting Review, 28(3), 323–333. https://doi.org/10.1111/auar.12218
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
Duchek, S. (2020). Organizational resilience: A capability-based conceptualization. Business Research, 13(1), 215–246. https://doi.org/10.1007/s40685-019-0085-7
Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82. https://doi.org/10.1177/1525822X05279903
Guo, H., Yang, Z., Huang, R., & Guo, A. (2020). The digitalization and public crisis responses of small and medium enterprises: Implications from a COVID-19 survey. Frontiers of Business Research in China, 14, Article 19. https://doi.org/10.1186/s11782-020-00087-1
Lengnick-Hall, C. A., Beck, T. E., & Lengnick-Hall, M. L. (2011). Developing a capacity for organizational resilience through strategic human resource management. Human Resource Management Review, 21(3), 243–255. https://doi.org/10.1016/j.hrmr.2010.07.001
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications.
Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management, 57(2), 103169. https://doi.org/10.1016/j.im.2019.05.004
Milliken, F. J. (1987). Three types of perceived uncertainty about the environment: State, effect, and response uncertainty. Academy of Management Review, 12(1), 133–143. https://doi.org/10.5465/amr.1987.4306502
Papadopoulos, T., Baltas, K. N., & Balta, M. E. (2020). The use of digital technologies by small and medium enterprises during COVID-19: Implications for theory and practice. International Journal of Information Management, 55, 102192. https://doi.org/10.1016/j.ijinfomgt.2020.102192
Ritter, T., & Pedersen, C. L. (2020). Digitization capability and the digitalization of business models in business-to-business firms: Past, present, and future. Industrial Marketing Management, 86, 180–190. https://doi.org/10.1016/j.indmarman.2019.11.019
Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of sustainable enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009
Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349. https://doi.org/10.1016/j.lrp.2018.12.001
Williams, T. A., Gruber, D. A., Sutcliffe, K. M., Shepherd, D. A., & Zhao, E. Y. (2017). Organizational response to adversity: Fusing crisis management and resilience research streams. Academy of Management Annals, 11(2), 733–769. https://doi.org/10.5465/annals.2015.0134