Pengaruh Big Data Analytics dan Financial Constraints terhadap Firm Risk
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Akter, S., Michael, K., Uddin, M. R., McCarthy, G., & Rahman, M. (2020). Transforming business using digital innovations: The application of AI, blockchain, cloud and data analytics. Annals of Operations Research, 308(1–2), 7–39. https://doi.org/10.1007/s10479-020-03620-w
Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016). How to improve firm performance using big data analytics capability and business strategy alignment? International Journal of Production Economics, 182, 113–131. https://doi.org/10.1016/j.ijpe.2016.08.018
Baltagi, B. H., & Liu, L. (2015). Random effects, fixed effects and Hausman’s test for the generalized mixed regressive spatial autoregressive panel data model. Econometric Reviews, 35(4), 638–658. https://doi.org/10.1080/07474938.2014.998148
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
Chen, H., Ai, S., Xiong, X., & Feng, D. (2025). Big data analytics and corporate financing constraints: Evidence from a developing country. Managerial and Decision Economics, 46(4), 2224–2236. https://doi.org/10.1002/mde.4099
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188. https://doi.org/10.2307/41703503
Darmono, D., Munawaroh, S., & Purwanto, S. A. (2026). The effects of corporate risk management and financial flexibility on firm resilience in Indonesian manufacturing firms. Jurnal Ilmiah Manajemen Kesatuan, 14(2). https://doi.org/10.37641/jimkes.v14i2.5126
Fazzari, S. M., Hubbard, R. G., & Petersen, B. C. (1988). Financing constraints and corporate investment. Brookings Papers on Economic Activity, 1988(1), 141–206. https://doi.org/10.2307/2534426
Fee, C. E., Hadlock, C. J., & Pierce, J. R. (2009). Investment, financing constraints, and internal capital markets: Evidence from the advertising expenditures of multinational firms. Review of Financial Studies, 22(6), 2361–2392. https://doi.org/10.2139/ssrn.892340
Ferreira, J. J. M., Fernandes, C. I., Veiga, P. M. (2024). The effects of knowledge spillovers, digital capabilities, and innovation on firm performance: A moderated mediation model. Technological Forecasting and Social Change, 200, 123086. https://doi.org/10.1016/j.techfore.2023.123086
Hsiao, C. (2007). Panel data analysis—Advantages and challenges. TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 16(1), 1–22. https://doi.org/10.1007/s11749-007-0046-x
Ilmudeen, A. (2021). Big data analytics capability and organizational performance measures: The mediating role of business intelligence infrastructure. Business Information Review, 38(4), 183-192. https://doi.org/10.1177/02663821211055321
Leckie, G., French, R., Charlton, C., & Browne, W. (2014). Modeling heterogeneous variance–covariance components in two-level models. Journal of Educational and Behavioral Statistics, 39(5), 307–332. https://doi.org/10.3102/1076998614546494
Midi, H., Sarkar, S. K., & Rana, S. (2010). Collinearity diagnostics of binary logistic regression model. Journal of Interdisciplinary Mathematics, 13(3), 253–267. https://doi.org/10.1080/09720502.2010.10700699
Mikalef, P., & Krogstie, J. (2020). Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities. European Journal of Information Systems, 29(3), 260–287. https://doi.org/10.1080/0960085X.2020.1740618
Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. A. (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
Mondal, D. (2008). On the test of significance of linear multiple regression coefficients. Communications in Statistics—Simulation and Computation, 37(4), 713–730. https://doi.org/10.1080/03610910701753853
Myers, S. C., & Majluf, N. S. (1984). Corporate financing and investment decisions when firms have information that investors do not have. Journal of Financial Economics, 13(2), 187–221. https://doi.org/10.1016/0304-405X(84)90023-0
Satrio, A. B., & Elryanti. (2025). Financial flexibility and financial constraints: Firm-level empirical evidence. Relevance: Journal of Management and Business, 8(2). https://doi.org/10.22515/relevance.v8i2.13197
Sun, Y., Liu, Y., & Zhang, X. (2024). Big data analytics, firm risk and corporate policies: Evidence from China. Journal of Corporate Finance, 84, 102627. https://doi.org/10.1016/j.ribaf.2024.102371
Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
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
Williams, M. N., Grajales, C. A. G., & Kurkiewicz, D. (2013). Assumptions of multiple regression: Correcting two misconceptions. Practical Assessment, Research, and Evaluation, 18(11), 1–14. https://doi.org/10.7275/55hn-wk47
Wooldridge, J. M. (2019). Correlated random effects models with unbalanced panels. Journal of Econometrics, 211(1), 137–150. https://doi.org/10.1016/j.jeconom.2018.12.010
DOI: https://doi.org/10.17509/ijdb.v5i4.102274
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