How to cite this paper
Abuzaid, A. (2024). Examining the moderating role of data literacy in the relationship between human resource analytics and employee innovative behavior.International Journal of Data and Network Science, 8(3), 1415-1428.
Refrences
Afsar, B., Badir, Y. F., & Saeed, B. B. (2014). Transformational leadership and innovative work behavior. Industrial Man-agement & Data Systems, 114(8), 1270-1300.
Álvarez-Gutiérrez, F. J., Stone, D. L., Castaño, A. M., & García-Izquierdo, A. L. (2022). Human Resources Analytics: A systematic Review from a Sustainable Management Approach. Revista de Psicología del Trabajo y de las Organi-zaciones, 38(3), 129-147.
Ameer, R., Garg, P., & Singh, H. (2023). Impact of HR Analytics Competencies on Organizational Performance. Journal of Pharmaceutical Negative Results, 14, 133-144.
Andersen, M. K. (2017). Human capital analytics: The winding road. Journal of Organizational Effectiveness, People and Performance, 4(2), 133-136.
Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016). HR and analytics: why HR is set to fail the big data challenge. Human Resource Management Journal, 26(1), 1-11.
Aung, T., Niyeha, D., Shagihilu, S., Mpembeni, R., Kaganda, J., Sheffel, A., & Heidkamp, R. (2019). Optimizing data vis-ualization for reproductive, maternal, newborn, child health, and nutrition (RmncH&N) policymaking: Data visualiza-tion preferences and interpretation capacity among decision-makers in Tanzania. Global Health Research and Policy, 4(1), 1-14.
Bahuguna, P. C., Srivastava, R., & Tiwari, S. (2023). Human resources analytics: where do we go from here?. Benchmarking: An International Journal.
Bandari, V. (2020). Impact of Data Democratization and Data Literacy on Employee Productivity. Sage Science Review of Educational Technology, 3(1), 37-48.
Barczak, G. (2015). Publishing qualitative versus quantitative research. Journal of Product Innovation Management, 32(5), 658-658.
Bassi, L. (2011). Raging debates in HR analytics. People and Strategy, 34(2), 14.
Boudreau, J. W., & Lawler III, E. E. (2012). How HR spends its time: It is time for a change. Los Angeles, CA: Center for Effective Organizations-Marshall School of Business.
Boudreau, J., & Jesuthasan, R. (2011). Transformative HR: How great companies use evidence based change for sustaina-ble competitive advantage. San Francisco: Jossey Bass.
Cho, W., Choi, S., & Choi, H. (2023). Human Resources Analytics for Public Personnel Management: Concepts, Cases, and Caveats. Administrative Sciences, 13(2), 41.
Coulthart, S., & Ryan R. (2022). Putting big data to work in government: The case of the United States border pa-trol. Public Administration Review, 82, 280-89.
Davenport, T. H., Harris, J., & Shapiro, J. (2010). Competing on talent analytics. Harvard business review, 88(10), 52-58.
De Jong, J. P., & Den Hartog, D. N. (2008). Innovative work behavior: Measurement and validation. EIM Business and Policy Research, 8(1), 1-27.
Deahl, E. (2014). Better the Data You Know: Developing Youth Data Literacy in Schools and Informal Learning Environ-ments. M.S. Thesis, Massachusetts Institute of Technology.
D’Ignazio, C., & Bhargava, R. (2015). Approaches to building big data literacy. Bloomberg data for good exchange.
Fernandez, V., & Gallardo Gallardo, E. (2020). HR analytics conceptualization and adoption: key issues. In Academy of Management Proceedings (Vol. 2020, No. 1, p. 12180). Briarcliff Manor, NY 10510: Academy of Management.
Fitz-Enz, J. (1984). How to measure human resource management?. McGraw-Hill.
Fitz-Enz, J. (2010). The new HR analytics. American Management Association.
Fitz-Enz, J., & John Mattox, I. I. (2014). Predictive analytics for human resources. John Wiley & Sons.
Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382-388.
François, K., & Monteiro, C. (2018). Big data literacy. In Looking Back, Looking Forward. Proceedings of the Tenth In-ternational Conference on Teaching Statistics, Kyoto, Japan. Voorburg, the Netherlands: International Statistical Insti-tute.
Franke, F., & Hiebl, M. R. (2023). Big data and decision quality: the role of management accountants’ data analytics skills. International Journal of Accounting & Information Management, 31(1), 93-127.
Gummer, E. S., & Mandinach, E. B. (2015). Building a conceptual framework for data literacy. Teachers College Rec-ord, 117(4), 1-22.
Gupta, P., Hudnurkar, M., & Ambekar, S. (2020). HR-Analytics for Effective Performance Appraisal. PalArch’s Journal of Archaeology of Egypt/Egyptology, 17(6), 4288-4308.
Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European business review, 26(2), 106-121.
Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based ap-proach (2nd Ed.). Guilford Publications.
Hayes, A. F., & Rockwood, N. J. (2020). Conditional process analysis: Concepts, computation, and advances in the model-ing of the contingencies of mechanisms. American Behavioral Scientist, 64(1), 19-54.
Jaffar, Z., Noor, W., & Kanwal, Z. (2019). Predictive human resource analytics using data mining classification tech-niques. Int. J. Comput, 32(1), 9-20.
Jahangir, M., Khorakian, A., & Lagzian, M. (2023). The impacts of work engagement on innovative behavior with an em-phasis on the mediatory role of sharing mistakes. Innovation Management Journal, 5(1), 29-52.
Jain, P., & Jain, P. (2020). Understanding the concept of HR analytics. International Journal on Emerging Technolo-gies, 11(2), 644-652.
Jiang, Y., & Akdere, M. (2022). An operational conceptualization of human resource analytics: implications for in human resource development. Industrial and Commercial Training, 54(1), 183-200.
Kerlinger, F. N., & Lee, H. B. (2000). Foundations of Behavioral Research (4th Ed.). Harcourt.
Kim, S., Wang, Y., & Boon, C. (2021). Sixty years of research on technology and human resource management: Looking back and looking forward. Human Resource Management, 60(1), 229-247.
Kmetz, J. L. (2020). Information Processing Theory of Organization: Managing Technology Accession in Complex Sys-tems. Abingdon-on-Thames, England: Rutledge.
Koo, H. S., & Fallon, K. (2017). Preferences in tracking dimensions for wearable technology. International Journal of Clothing Science and Technology, 29(2), 180-199.
Kodrat, D. S., Tambunan, D. B., & Hartono, W. (2024). Investigation of workplace literacy in Indonesia to enhance em-ployability opportunities. Decision Science Letters, 13(4), 351–362.
Levenson, A. (2005). Harnessing the power of HR analytics: Why building HR’s analytic capability can help it add bot-tom-line value. Center for Effective Organizations, 4(3), 3-12.
Madhani, P. M. (2023). Human Resources Analytics: Leveraging Human Resources for Enhancing Business Performance. Compensation & Benefits Review, 55(1), 19-30.
Makarius, E. E., Mukherjee, D., Fox, J. D., & Fox, A. K. (2020). Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization. Journal of Business Research, 120, 262-273.
Margherita, A. (2022). Human resources analytics: A systematization of research topics and directions for future re-search. Human Resource Management Review, 32(2), 100795.
Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of HR analytics. The International Journal of Human Resource Management, 28(1), 3-26.
Marr, B. (2018). Data-driven HR: How to use analytics and metrics to drive performance. Kogan Page Publishers.
McCartney, S., & Fu, N. (2022). Bridging the gap: why, how and when HR analytics can impact organizational perfor-mance. Management Decision, 60(13), 25-47. https://doi.org/10.1108/MD-12-2020-1581
Messmann, G., & Mulder, R. H. (2012). Development of a measurement instrument for innovative work behaviour as a dynamic and context-bound construct. Human Resource Development International, 15(1), 43-5.
Minbaeva, D. B. (2018). Building credible human capital analytics for organizational competitive advantage. Human Re-source Management, 57(3), 701-713. https://doi.org/10.1002/hrm.21848
Mishra, S. N., Lama, D. R., & Pal, Y. (2016). Human Resource Predictive Analytics (HRPA) for HR management in or-ganizations. International Journal of Scientific & Technology Research, 5(5), 33-35.
Mohammed, D. A. Q. (2019). HR analytics: a modern tool in HR for predictive decision making. Journal of Manage-ment, 6(3), 51-63.
Molefe, M. (2013). From data to insights: HR analytics in organisations. Doctoral dissertation, University of Pretoria.
Mondare, S., Douthitt, S., & Carson, M. (2011). Maximizing the impact and effectiveness of HR Analytics to drive busi-ness outcomes. People & Strategy, 34, 20-27.
Nicolás-Agustín, Á., Jiménez-Jiménez, D., & Maeso-Fernandez, F. (2022). The role of human resource practices in the implementation of digital transformation. International Journal of Manpower, 43(2), 395-410.
Noopur, N., & Dhar, R. L. (2020). Knowledge-based HRM practices as an antecedent to service innovative behavior: A multilevel study. Benchmarking: An International Journal, 27(1), 41-58.
Pfeffer, J., & Sutton, R. I. (2006). Evidence-based management. Harvard business review, 84(1), 62.
Pipino, L. L., Lee, Y. W., & Wang, R. Y. (2002). Data quality assessment. Communications of the ACM, 45(4), 211-218.
Pothier, W. G., & Condon, P. B. (2020). Towards data literacy competencies: Business students, workforce needs, and the role of the librarian. Journal of Business & Finance Librarianship, 25(3-4), 123-146.
Purwanto, A., Novitasari, D., & Asbari, M. (2022). Tourist satisfaction and performance of tourism industries: how the role of innovative work behaviour, organizational citizenship behaviour?. Journal of Industrial Engineering & Man-agement Research, 3(1), 1-12
Putra, T. S., & Pramusiwi, A. D. (2023). Well-Being and Innovation: Investigating the Linkage among Well-Being Orient-ed Management, Knowledge Sharing, Innovation Climate, and Innovative Work Behavior. Media Ekonomi dan Mana-jemen, 38(1), 147-160.
Qamar, Y., & Samad, T. A. (2022). Human resource analytics: a review and bibliometric analysis. Personnel Re-view, 51(1), 251-283.
Retkutė, K., & Davidavičienė, V. (2021). Application of Multichannel Access and Customer Journey Map in the Context of Innovative Business Projects. Journal of Service, Innovation and Sustainable Development, 2(1), 100-120.
Rogers, P. R., Miller, A., & Judge, W. Q. (1999). Using information-processing theory to understand plan-ning/performance relationships in the context of strategy. Strategic Management Journal, 20(6), 567-577.
Saks, A. (2021). Digitalisation of Work in Estonian Parliament Riigikogu. International Journal of Parliamentary Stud-ies, 1(1), 181-188.
Sander, I. (2020). What is critical big data literacy and how can it be implemented?. Internet Policy Review, 9(2), 1-22.
Schiemann, W. A., Seibert, J. H., Blankenship, M. H. (2018). Putting human capital analytics to work: Predicting and driv-ing business success. Human Resource Management, 57, 795-807.
Scott, S. G., & Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of management journal, 37(3), 580-607.
Shields, M. (2005). Information literacy, statistical literacy, data literacy. IASSIST quarterly, 28(2-3), 6-6.
Singh, S. K., & El-Kassar, A. N. (2019). Role of big data analytics in developing sustainable capabilities. Journal of cleaner production, 213, 1264-1273.
Singh, M. & Sarkar, A. (2012). The relationship between psychological empowerment and innovative behavior: A dimen-sional analysis with job involvement as mediator. Journal of Personnel Psychology, 11 (3), 127-137.
Subhashini, D. D., Rudhramoorthy, K., & Sarkar, S. (2019). HR metrics and workforce analytics: It is a journey, not a des-tination. Human Resource Management International Digest, 27(1), 4-6.
Sueb, S., & Sopiah, S. (2023). Exploring the Relationship between Transformational Leadership and Innovative Work Be-havior: A Systematic Literature Review. Jurnal Visi Manajemen, 9(2), 62-83.
Thakkar, J. J., & Thakkar, J. J. (2020). Introduction to structural equation modelling. Structural Equation Modelling: Ap-plication for Research and Practice (with AMOS and R), 1-11.
Ulrich, D., Kryscynski, D., Ulrich, M., & Brockbank, W. (2017). Competencies for HR Professionals Who Deliver Out-comes. Employment Relations Today, 44(2), 37-44.
Uma, V. R., Velchamy, I., & Upadhyay, D. (2023). Recruitment Analytics: Hiring in the Era of Artificial Intelligence. In The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part A (pp. 155-174). Emer-ald Publishing Limited.
Vahey, P., Yarnall, L., Patton, C., Zalles, D., & Swan, K. (2006). Mathematizing middle school: Results from a cross-disciplinary study of data literacy. In Annual Meeting of the American Educational Research Association, San Fran-cisco, CA.
Vaiman, V., Cascio, W. F., Collings, D. G., & Swider, B. W. (2021). The shifting boundaries of talent manage-ment. Human Resource Management, 60(2), 253-257.
Vandavasi, R. K. K., McConville, D. C., Uen, J. F., & Yepuru, P. (2020). Knowledge sharing, shared leadership and inno-vative behaviour: a cross-level analysis. International Journal of Manpower, 41(8), 1221-1233.
Watson, H. J. (2010). Business Analytics Insight: Hype or Here to Stay?. Business Intelligence Journal, 6(1), 4-8.
Wolff, A., Gooch, D., Montaner, J. J. C., Rashid, U., & Kortuem, G. (2016). Creating an understanding of data literacy for a data-driven society. The Journal of Community Informatics, 12(3), 9-26.
Zafar, N., Asadullah, M. A., Haq, M. Z. U., Siddiquei, A. N., & Nazir, S. (2022). Design thinking: a cognitive resource for improving workforce analytics and training evaluation. European Journal of Training and Development, (ahead-of-print).
Álvarez-Gutiérrez, F. J., Stone, D. L., Castaño, A. M., & García-Izquierdo, A. L. (2022). Human Resources Analytics: A systematic Review from a Sustainable Management Approach. Revista de Psicología del Trabajo y de las Organi-zaciones, 38(3), 129-147.
Ameer, R., Garg, P., & Singh, H. (2023). Impact of HR Analytics Competencies on Organizational Performance. Journal of Pharmaceutical Negative Results, 14, 133-144.
Andersen, M. K. (2017). Human capital analytics: The winding road. Journal of Organizational Effectiveness, People and Performance, 4(2), 133-136.
Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016). HR and analytics: why HR is set to fail the big data challenge. Human Resource Management Journal, 26(1), 1-11.
Aung, T., Niyeha, D., Shagihilu, S., Mpembeni, R., Kaganda, J., Sheffel, A., & Heidkamp, R. (2019). Optimizing data vis-ualization for reproductive, maternal, newborn, child health, and nutrition (RmncH&N) policymaking: Data visualiza-tion preferences and interpretation capacity among decision-makers in Tanzania. Global Health Research and Policy, 4(1), 1-14.
Bahuguna, P. C., Srivastava, R., & Tiwari, S. (2023). Human resources analytics: where do we go from here?. Benchmarking: An International Journal.
Bandari, V. (2020). Impact of Data Democratization and Data Literacy on Employee Productivity. Sage Science Review of Educational Technology, 3(1), 37-48.
Barczak, G. (2015). Publishing qualitative versus quantitative research. Journal of Product Innovation Management, 32(5), 658-658.
Bassi, L. (2011). Raging debates in HR analytics. People and Strategy, 34(2), 14.
Boudreau, J. W., & Lawler III, E. E. (2012). How HR spends its time: It is time for a change. Los Angeles, CA: Center for Effective Organizations-Marshall School of Business.
Boudreau, J., & Jesuthasan, R. (2011). Transformative HR: How great companies use evidence based change for sustaina-ble competitive advantage. San Francisco: Jossey Bass.
Cho, W., Choi, S., & Choi, H. (2023). Human Resources Analytics for Public Personnel Management: Concepts, Cases, and Caveats. Administrative Sciences, 13(2), 41.
Coulthart, S., & Ryan R. (2022). Putting big data to work in government: The case of the United States border pa-trol. Public Administration Review, 82, 280-89.
Davenport, T. H., Harris, J., & Shapiro, J. (2010). Competing on talent analytics. Harvard business review, 88(10), 52-58.
De Jong, J. P., & Den Hartog, D. N. (2008). Innovative work behavior: Measurement and validation. EIM Business and Policy Research, 8(1), 1-27.
Deahl, E. (2014). Better the Data You Know: Developing Youth Data Literacy in Schools and Informal Learning Environ-ments. M.S. Thesis, Massachusetts Institute of Technology.
D’Ignazio, C., & Bhargava, R. (2015). Approaches to building big data literacy. Bloomberg data for good exchange.
Fernandez, V., & Gallardo Gallardo, E. (2020). HR analytics conceptualization and adoption: key issues. In Academy of Management Proceedings (Vol. 2020, No. 1, p. 12180). Briarcliff Manor, NY 10510: Academy of Management.
Fitz-Enz, J. (1984). How to measure human resource management?. McGraw-Hill.
Fitz-Enz, J. (2010). The new HR analytics. American Management Association.
Fitz-Enz, J., & John Mattox, I. I. (2014). Predictive analytics for human resources. John Wiley & Sons.
Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382-388.
François, K., & Monteiro, C. (2018). Big data literacy. In Looking Back, Looking Forward. Proceedings of the Tenth In-ternational Conference on Teaching Statistics, Kyoto, Japan. Voorburg, the Netherlands: International Statistical Insti-tute.
Franke, F., & Hiebl, M. R. (2023). Big data and decision quality: the role of management accountants’ data analytics skills. International Journal of Accounting & Information Management, 31(1), 93-127.
Gummer, E. S., & Mandinach, E. B. (2015). Building a conceptual framework for data literacy. Teachers College Rec-ord, 117(4), 1-22.
Gupta, P., Hudnurkar, M., & Ambekar, S. (2020). HR-Analytics for Effective Performance Appraisal. PalArch’s Journal of Archaeology of Egypt/Egyptology, 17(6), 4288-4308.
Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European business review, 26(2), 106-121.
Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based ap-proach (2nd Ed.). Guilford Publications.
Hayes, A. F., & Rockwood, N. J. (2020). Conditional process analysis: Concepts, computation, and advances in the model-ing of the contingencies of mechanisms. American Behavioral Scientist, 64(1), 19-54.
Jaffar, Z., Noor, W., & Kanwal, Z. (2019). Predictive human resource analytics using data mining classification tech-niques. Int. J. Comput, 32(1), 9-20.
Jahangir, M., Khorakian, A., & Lagzian, M. (2023). The impacts of work engagement on innovative behavior with an em-phasis on the mediatory role of sharing mistakes. Innovation Management Journal, 5(1), 29-52.
Jain, P., & Jain, P. (2020). Understanding the concept of HR analytics. International Journal on Emerging Technolo-gies, 11(2), 644-652.
Jiang, Y., & Akdere, M. (2022). An operational conceptualization of human resource analytics: implications for in human resource development. Industrial and Commercial Training, 54(1), 183-200.
Kerlinger, F. N., & Lee, H. B. (2000). Foundations of Behavioral Research (4th Ed.). Harcourt.
Kim, S., Wang, Y., & Boon, C. (2021). Sixty years of research on technology and human resource management: Looking back and looking forward. Human Resource Management, 60(1), 229-247.
Kmetz, J. L. (2020). Information Processing Theory of Organization: Managing Technology Accession in Complex Sys-tems. Abingdon-on-Thames, England: Rutledge.
Koo, H. S., & Fallon, K. (2017). Preferences in tracking dimensions for wearable technology. International Journal of Clothing Science and Technology, 29(2), 180-199.
Kodrat, D. S., Tambunan, D. B., & Hartono, W. (2024). Investigation of workplace literacy in Indonesia to enhance em-ployability opportunities. Decision Science Letters, 13(4), 351–362.
Levenson, A. (2005). Harnessing the power of HR analytics: Why building HR’s analytic capability can help it add bot-tom-line value. Center for Effective Organizations, 4(3), 3-12.
Madhani, P. M. (2023). Human Resources Analytics: Leveraging Human Resources for Enhancing Business Performance. Compensation & Benefits Review, 55(1), 19-30.
Makarius, E. E., Mukherjee, D., Fox, J. D., & Fox, A. K. (2020). Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization. Journal of Business Research, 120, 262-273.
Margherita, A. (2022). Human resources analytics: A systematization of research topics and directions for future re-search. Human Resource Management Review, 32(2), 100795.
Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of HR analytics. The International Journal of Human Resource Management, 28(1), 3-26.
Marr, B. (2018). Data-driven HR: How to use analytics and metrics to drive performance. Kogan Page Publishers.
McCartney, S., & Fu, N. (2022). Bridging the gap: why, how and when HR analytics can impact organizational perfor-mance. Management Decision, 60(13), 25-47. https://doi.org/10.1108/MD-12-2020-1581
Messmann, G., & Mulder, R. H. (2012). Development of a measurement instrument for innovative work behaviour as a dynamic and context-bound construct. Human Resource Development International, 15(1), 43-5.
Minbaeva, D. B. (2018). Building credible human capital analytics for organizational competitive advantage. Human Re-source Management, 57(3), 701-713. https://doi.org/10.1002/hrm.21848
Mishra, S. N., Lama, D. R., & Pal, Y. (2016). Human Resource Predictive Analytics (HRPA) for HR management in or-ganizations. International Journal of Scientific & Technology Research, 5(5), 33-35.
Mohammed, D. A. Q. (2019). HR analytics: a modern tool in HR for predictive decision making. Journal of Manage-ment, 6(3), 51-63.
Molefe, M. (2013). From data to insights: HR analytics in organisations. Doctoral dissertation, University of Pretoria.
Mondare, S., Douthitt, S., & Carson, M. (2011). Maximizing the impact and effectiveness of HR Analytics to drive busi-ness outcomes. People & Strategy, 34, 20-27.
Nicolás-Agustín, Á., Jiménez-Jiménez, D., & Maeso-Fernandez, F. (2022). The role of human resource practices in the implementation of digital transformation. International Journal of Manpower, 43(2), 395-410.
Noopur, N., & Dhar, R. L. (2020). Knowledge-based HRM practices as an antecedent to service innovative behavior: A multilevel study. Benchmarking: An International Journal, 27(1), 41-58.
Pfeffer, J., & Sutton, R. I. (2006). Evidence-based management. Harvard business review, 84(1), 62.
Pipino, L. L., Lee, Y. W., & Wang, R. Y. (2002). Data quality assessment. Communications of the ACM, 45(4), 211-218.
Pothier, W. G., & Condon, P. B. (2020). Towards data literacy competencies: Business students, workforce needs, and the role of the librarian. Journal of Business & Finance Librarianship, 25(3-4), 123-146.
Purwanto, A., Novitasari, D., & Asbari, M. (2022). Tourist satisfaction and performance of tourism industries: how the role of innovative work behaviour, organizational citizenship behaviour?. Journal of Industrial Engineering & Man-agement Research, 3(1), 1-12
Putra, T. S., & Pramusiwi, A. D. (2023). Well-Being and Innovation: Investigating the Linkage among Well-Being Orient-ed Management, Knowledge Sharing, Innovation Climate, and Innovative Work Behavior. Media Ekonomi dan Mana-jemen, 38(1), 147-160.
Qamar, Y., & Samad, T. A. (2022). Human resource analytics: a review and bibliometric analysis. Personnel Re-view, 51(1), 251-283.
Retkutė, K., & Davidavičienė, V. (2021). Application of Multichannel Access and Customer Journey Map in the Context of Innovative Business Projects. Journal of Service, Innovation and Sustainable Development, 2(1), 100-120.
Rogers, P. R., Miller, A., & Judge, W. Q. (1999). Using information-processing theory to understand plan-ning/performance relationships in the context of strategy. Strategic Management Journal, 20(6), 567-577.
Saks, A. (2021). Digitalisation of Work in Estonian Parliament Riigikogu. International Journal of Parliamentary Stud-ies, 1(1), 181-188.
Sander, I. (2020). What is critical big data literacy and how can it be implemented?. Internet Policy Review, 9(2), 1-22.
Schiemann, W. A., Seibert, J. H., Blankenship, M. H. (2018). Putting human capital analytics to work: Predicting and driv-ing business success. Human Resource Management, 57, 795-807.
Scott, S. G., & Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of management journal, 37(3), 580-607.
Shields, M. (2005). Information literacy, statistical literacy, data literacy. IASSIST quarterly, 28(2-3), 6-6.
Singh, S. K., & El-Kassar, A. N. (2019). Role of big data analytics in developing sustainable capabilities. Journal of cleaner production, 213, 1264-1273.
Singh, M. & Sarkar, A. (2012). The relationship between psychological empowerment and innovative behavior: A dimen-sional analysis with job involvement as mediator. Journal of Personnel Psychology, 11 (3), 127-137.
Subhashini, D. D., Rudhramoorthy, K., & Sarkar, S. (2019). HR metrics and workforce analytics: It is a journey, not a des-tination. Human Resource Management International Digest, 27(1), 4-6.
Sueb, S., & Sopiah, S. (2023). Exploring the Relationship between Transformational Leadership and Innovative Work Be-havior: A Systematic Literature Review. Jurnal Visi Manajemen, 9(2), 62-83.
Thakkar, J. J., & Thakkar, J. J. (2020). Introduction to structural equation modelling. Structural Equation Modelling: Ap-plication for Research and Practice (with AMOS and R), 1-11.
Ulrich, D., Kryscynski, D., Ulrich, M., & Brockbank, W. (2017). Competencies for HR Professionals Who Deliver Out-comes. Employment Relations Today, 44(2), 37-44.
Uma, V. R., Velchamy, I., & Upadhyay, D. (2023). Recruitment Analytics: Hiring in the Era of Artificial Intelligence. In The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part A (pp. 155-174). Emer-ald Publishing Limited.
Vahey, P., Yarnall, L., Patton, C., Zalles, D., & Swan, K. (2006). Mathematizing middle school: Results from a cross-disciplinary study of data literacy. In Annual Meeting of the American Educational Research Association, San Fran-cisco, CA.
Vaiman, V., Cascio, W. F., Collings, D. G., & Swider, B. W. (2021). The shifting boundaries of talent manage-ment. Human Resource Management, 60(2), 253-257.
Vandavasi, R. K. K., McConville, D. C., Uen, J. F., & Yepuru, P. (2020). Knowledge sharing, shared leadership and inno-vative behaviour: a cross-level analysis. International Journal of Manpower, 41(8), 1221-1233.
Watson, H. J. (2010). Business Analytics Insight: Hype or Here to Stay?. Business Intelligence Journal, 6(1), 4-8.
Wolff, A., Gooch, D., Montaner, J. J. C., Rashid, U., & Kortuem, G. (2016). Creating an understanding of data literacy for a data-driven society. The Journal of Community Informatics, 12(3), 9-26.
Zafar, N., Asadullah, M. A., Haq, M. Z. U., Siddiquei, A. N., & Nazir, S. (2022). Design thinking: a cognitive resource for improving workforce analytics and training evaluation. European Journal of Training and Development, (ahead-of-print).