References
Bag, S., Wood, L. C., Xu, L., Dhamija, P., & Kayikci, Y. (2019). Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources Conservation and Recycling, 153, 104559. https://doi.org/10.1016/j.resconrec.2019.104559
Chen, D. Q., Preston, D. S., & Swink, M. (2015). How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management. Journal of Management Information Systems, 32(4), 4–39. https://doi.org/10.1080/07421222.2015.1138364
Davenport, T. H. (2018). From analytics to artificial intelligence. Journal of Business Analytics, 1(2), 73–80. https://doi.org/10.1080/2573234x.2018.1543535
Demirkan, H., & Delen, D. (2012). Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decision Support Systems, 55(1), 412–421. https://doi.org/10.1016/j.dss.2012.05.048
Dirani, K. M., Abadi, M., Alizadeh, A., Barhate, B., Garza, R. C., Gunasekara, N., Ibrahim, G., & Majzun, Z. (2020). Leadership competencies and the essential role of human resource development in times of crisis: a response to Covid-19 pandemic. Human Resource Development International, 23(4), 380–394. https://doi.org/10.1080/13678868.2020.1780078
Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019). Big Data and Predictive Analytics and Manufacturing performance: Integrating institutional theory, Resource-Based View and Big Data culture. British Journal of Management, 30(2), 341–361. https://doi.org/10.1111/1467-8551.12355
Garcia-Arroyo, J., & Osca, A. (2019). Big data contributions to human resource management: a systematic review. The International Journal of Human Resource Management, 32(20), 4337–4362. https://doi.org/10.1080/09585192.2019.1674357
Grover, V., Chiang, R. H., Liang, T., & Zhang, D. (2018). Creating Strategic Business Value from Big Data Analytics: A Research Framework. Journal of Management Information Systems, 35(2), 388–423. https://doi.org/10.1080/07421222.2018.1451951
Gupta, S., Drave, V. A., Dwivedi, Y. K., Baabdullah, A. M., & Ismagilova, E. (2019). Achieving superior organizational performance via big data predictive analytics: A dynamic capability view. Industrial Marketing Management, 90, 581–592. https://doi.org/10.1016/j.indmarman.2019.11.009
Hamilton, R., & Sodeman, W. A. (2019). The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources. Business Horizons, 63(1), 85–95. https://doi.org/10.1016/j.bushor.2019.10.001
Hecklau, F., Galeitzke, M., Flachs, S., & Kohl, H. (2016). Holistic approach for human resource management in industry 4.0. Procedia CIRP, 54, 1–6. https://doi.org/10.1016/j.procir.2016.05.102
Holsapple, C., Lee-Post, A., & Pakath, R. (2014). A unified foundation for business analytics. Decision Support Systems, 64, 130–141. https://doi.org/10.1016/j.dss.2014.05.013
Jain, N., & Maitri, N. (2018). Big Data and Predictive Analytics: a facilitator for talent management. In Studies in big data (pp. 199–204). https://doi.org/10.1007/978-981-10-7515-5_14
Kunc, M., & O’Brien, F. A. (2018). The role of business analytics in supporting strategy processes: Opportunities and limitations. Journal of the Operational Research Society, 70(6), 974–985. https://doi.org/10.1080/01605682.2018.1475104
Kwon, O., Lee, N., & Shin, B. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management, 34(3), 387–394. https://doi.org/10.1016/j.ijinfomgt.2014.02.002
Minbaeva, D. B. (2017). Building credible human capital analytics for organizational competitive advantage. Human Resource Management, 57(3), 701–713. https://doi.org/10.1002/hrm.21848
Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. (2021). Organizational business intelligence and decision making using big data analytics. Information Processing & Management, 58(6), 102725. https://doi.org/10.1016/j.ipm.2021.102725
Pathak, S., & Solanki, V. K. (2021). Impact of internet of things and artificial intelligence on human resource development. In Intelligent systems reference library (pp. 239–267). https://doi.org/10.1007/978-3-030-57835-0_19
Popovic, A., Hackney, R., Tassabehji, R., & Castelli, M. (2016). The impact of big data analytics on firms’ high value business performance. Information Systems Frontiers, 20(2), 209–222. https://doi.org/10.1007/s10796-016-9720-4
Rajagopal, N. K., Anand, M., & Mohanty, S. (2024). Exploring Machine Learning Applications in Human Resources Management: A Comprehensive Review. Studies in Systems, Decision and Control, 303–313. https://doi.org/10.1007/978-3-031-71649-2_26
Ratnam, D. S., & Devi, V. R. (2023). Addressing impediments to HR analytics adoption: guide to HRD professionals. Human Resource Development International, 27(1), 142–151. https://doi.org/10.1080/13678868.2023.2195986
Raut, R. D., Mangla, S. K., Narwane, V. S., Gardas, B. B., Priyadarshinee, P., & Narkhede, B. E. (2019). Linking big data analytics and operational sustainability practices for sustainable business management. Journal of Cleaner Production, 224, 10–24. https://doi.org/10.1016/j.jclepro.2019.03.181
Schiemann, W. A., Seibert, J. H., & Blankenship, M. H. (2017). Putting human capital analytics to work: Predicting and driving business success. Human Resource Management, 57(3), 795–807. https://doi.org/10.1002/hrm.21843
Seddon, P. B., Constantinidis, D., Tamm, T., & Dod, H. (2016). How does business analytics contribute to business value? Information Systems Journal, 27(3), 237–269. https://doi.org/10.1111/isj.12101
Sharma, R., Mithas, S., & Kankanhalli, A. (2014). Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations. European Journal of Information Systems, 23(4), 433–441. https://doi.org/10.1057/ejis.2014.17
Trkman, P., McCormack, K., De Oliveira, M. P. V., & Ladeira, M. B. (2010). The impact of business analytics on supply chain performance. Decision Support Systems, 49(3), 318–327. https://doi.org/10.1016/j.dss.2010.03.007
Unger, J. M., Rauch, A., Frese, M., & Rosenbusch, N. (2009). Human capital and entrepreneurial success: A meta-analytical review. Journal of Business Venturing, 26(3), 341–358. https://doi.org/10.1016/j.jbusvent.2009.09.004
Varadarajan, R. (2020). Customer information resources advantage, marketing strategy and business performance: A market resources based view. Industrial Marketing Management, 89, 89–97. https://doi.org/10.1016/j.indmarman.2020.03.003
Vidgen, R., Shaw, S., & Grant, D. B. (2017). Management challenges in creating value from business analytics. European Journal of Operational Research, 261(2), 626–639. https://doi.org/10.1016/j.ejor.2017.02.023
Wang, Y., Kung, L., & Byrd, T. A. (2016). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3–13. https://doi.org/10.1016/j.techfore.2015.12.019