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To study the role of HR Analytics in Predicting the Economic Value of Organization’s Human Capital Investment


Affiliations
1 Amity University, India
2 Amity University, Noida, India
3 MERI, India
     

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Over the past many years, Human Resource Management has changed. It has moved from an operational discipline towards a more strategic discipline. The popularity of the term Strategic Human Resource Management (SHRM) exemplifies this. The data-driven approach that characterizes HR analytics is in line with this development. By using HR analytics organizations do not rely on gut feeling anymore. Analytics enables HR professionals to make data-driven decisions. Furthermore, analytics helps to test the effectiveness of HR policies and different interventions. The use of data analytics in the field of human resource development is becoming increasingly common. This rise in popularity is accompanied by skepticism about the ability of human resource professionals to effectively utilize data analytics to reap organizational benefits

The HR world is abuzz with talk of big data and the transformative potential of HR analytics. With the changing processes HR analytics is a ‘must have’ capability that will ensure HR's future as a strategic management function while transforming organisational performance for the better. It argues that unless the HR profession wises up to both the potential and drawbacks of this emerging field and engages operationally and strategically to develop better methods and approaches, it is unlikely that existing practices of HR analytics will deliver transformational change. Indeed, it is possible that current trends will seal the exclusion of HR from strategic, board‐level influence while doing little to benefit organisations and actively damaging the interests of employees


Keywords

HR Analytics, Human Resource Management, Talent Analytics, Strategic Human Resource Management, Strategic Workforce Planning, ROI, Human Capital Investment.
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  • Abrahamson, E. (1991). Managerial fads and fashions: The diffusion and refection of innovations. Academy

  • Abrahamson, E. (2009). Necessary conditions for the study of fads and fashions in science. Scandinavian Journal of Management, 25, 235–239. doi:10.1016/j.scaman.2009.03.005

  • Abrahamson, E., & Eisenman, M. (2008). Employee-management techniques: Transient fads or trending fashions? Administrative Science Quarterly, 53, 719–744.10.2189/asqu.53.4.719

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.10.1016/0749-5978(91)90020-T

  • Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888–918.10.1037/0033-2909.84.5.888

  • 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, 1–11. doi:10.1111/1748-8583.12090

  • Aral, S., Brynjolfsson, E., & Wu, L. (2012). Three-way complementarities: Performance Pay, human resource analytics, and information technology. Management Science, 58, 913–931.10.1287/mnsc.1110.1460

  • Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17, 99–120.10.1177/014920639101700108

  • Becker, B., & Gerhart, B. (1996). The impact of human resource management on organizational performance: Progress and prospects. Academy of Management Journal, 39, 779–801.10.2307/256712

  • Becker, B. E., Ulrich, D., & Huselid, M. A. (2001). The HR scorecard: Linking people, strategy, and performance (1st ed.). Harvard Business Press.

  • Boudreau, J. W., & Ramstad, P. M. (2005). Talentship, talent segmentation, and sustainability: A new HR decision science paradigm for a new strategy definition. Human Resource Management, 44, 129–136. doi:10.1002/hrm.20054

  • Boudreau, J. W., & Ramstad, P. M. (2007). Beyond HR: The new science of human capital. Boston, MA: Harvard Business School Pub Babbie, E. (2010). The Practice of Social Research (2 ed.): Wadsworth, Cengage Learning.

  • Boudreau, J. W. (2010). Retooling HR. Boston, MA: Harvard Business Publishing.

  • Bassi, L. (2011). Raging debates in HR Analytics. People & Strategy, 34, 14–18.

  • Bassi, L., Carpenter, R., & McMurrer, D. (Eds.). (2012). HR Analytics Handbook. Amsterdam: Reed Business.

  • Boudreau, J. W. (2012). Decision logic in evidence-based management: Can logical models from other disciplines improve evidence-based human resource decisions? In D. Rousseau (Ed.), The Oxford handbook of evidence-based management (pp. 223–248). New York, NY: Oxford University Press.

  • Banerjee, A., Bandyopadhyay, T., & Acharya, P. (2013). Data Analytics: Hyped Up Aspirations or True Potential? Vikalpa, 38(4).

  • Barends, E., Rousseau, D. M., & Briner, R. B. (2014). Evidence-based management: The basic principles. Amsterdam: Center for Evidence-Based Management.

  • Cascio, W. F., & Boudreau, J. W. (2016). The search for global competence: From international HR to talent management. Journal of World Business, 51, 103–114.10.1016/j.jwb.2015.10.002

  • Cascio, W., & Boudreau, J. (2010). Investing in people: Financial impact of human resource initiatives. Ft Press.

  • Coco, C. T., Jamison, F., & Black, H. (2011). Connecting people investments and business outcomes at Lowe’s: Using value linkage analytics to link employee engagement to business performance. People & Strategy, 34, 28–33

  • Collings, D. G., & Mellahi, K. (2009). Strategic talent management: A review and research agenda. Human Resource Management Review, 19, 304–313.10.1016/j.hrmr.2009.04.001

  • Davenport, T. H., Harris, J., & Shapiro, J. (2010). Competing on talent analytics. Harvard Business Review, 88, 52–58.

  • Delery, J. E., & Shaw, J. D. (2001). The strategic management of people in work organizations: Review, synthesis, and extension. In G. R. Ferris (Ed.), Research in personnel and human resources management (Vol. 20, pp. 165–197). Elsevier Science/JAI Press. Retrieved from http://dx.doi.org/10.1016/S0742-7301(01)20003-6

  • DiBernardino, F. (2011). The missing link: Measuring and managing financial performance of the human capital investment. People & Strategy, 34, 44–49.

  • DiMaggio, P., & Powell, W. W. (1983). The iron cage revisited: Collective rationality and institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48, 147–160. doi:10.2307/2095101

  • Douthitt, S., & Mondore, S. (2014). Creating a business-focused HR function with analytics and integrated talent management. People & Strategy, 36, 16–21.

  • Falletta, S. (2014). In search of HR intelligence: Evidence-based HR Analytics practices in high performing companies. People & Strategy, 36, 28–37.

  • Fitz-enz, J. (1995). How to measure human resources management (2nd ed.). New York, NY: McGraw-Hill.

  • Garvin, D. A. (2013). How google sold its engineers on management. Harvard Business Review, 91, 74–82.

  • Giuffrida, M. (2014). Unleashing the power of talent analytics in federal government. Public Manager, 43, 7–10.

  • Harris, J. G., Craig, E., & Light, D. A. (2011). Talent and analytics: New approaches, higher ROI. Journal of Business Strategy, 32, 4–13. Retrieved from http://doi.org/10.1108/02756661111180087

  • Huselid, M. A. (1995). The impact of human resource management practices on turnover, productivity, and corporate financial performance. Academy of Management Journal, 38, 635–672. doi:10.2307/256741

  • Jiang, K., Lepak, D. P., Hu, J., & Baer, J. C. (2012). How does human resource management influence organizational outcomes? A meta- analytic investigation of mediating mechanisms. Academy of Management Journal, 55, 1264–1294. doi:10.5465/amj.2011.0088

  • Jones, K. (2014). Conquering HR Analytics: Do you need a rocket scientist or a crystal ball? Workforce Solutions Review, 5, 43–44.

  • Kaufman, B. E. (2014). The historical development of American HRM broadly viewed. Human Resource Management Review, 24, 196–218. doi:10.1016/j.hrmr.2014.03.003

  • Kaufman, B. E., & Miller, B. I. (2010). Firm’s choice of HRM practices: Economic meets strategic human resources management. Industrial and Labor Relations Review, 64, 526–577

  • Kossek, E. E. (1987). Human resources management innovation. Human Resource Management, 26, 71–92.

  • King, K.G. (2016). Data Analytics in Human Resources: A Case Study and Critical Review. Human Resource Development Review, Vol. 15(4) 487–495

  • Lawler III, E. E., Levenson, A., & Boudreau, J. W. (2004). HR metrics and analytics: Use and Impact. Human Resource Planning, 27, 27–35.

  • Lawler III, E. E., & Boudreau, J. W. (2015). Global trends in human resource management: A twenty year analysis. Stanford, CA: Stanford University Press.

  • Ledford, G. E., Benson, G., & Lawler III, E. E. (2016, June). Aligning research and the current practice of performance management. Industrial and Organizational Psychology, 9, 253–260.10.1017/iop.2016.7

  • Leonardi, P. M., & Barley, S. R. (2008). Materiality and change: Challenges to building better theory about technology and organizing. Information and Organization, 18, 159–176. doi:10.1016/j.infoandorg.2008.03.001

  • Lepak, D. P., & Shaw, J. D. (2008). Strategic HRM in North America: Looking to the future. The International Journal of Human Resource Management, 19, 1486–1499.10.1080/09585190802200272

  • Levenson, A. (2011). Using targeted analytics to improve talent decisions. People & Strategy, 34, 34–43.

  • Levenson, A., Lawler III, E. E., & Boudreau, J. W. (2005). Survey on HR Analytics and HR transformation: Feedback report. Los Angeles, CA: Center for Effective Organizations, University of Southern California.

  • Marler, J. H., & Dulebohn, J. H. (2005). A model of employee self-service technology acceptance. Research in Personnel and Human Resources Management, 24, 137–180.10.1016/S0742-7301(05)24004-5

  • Marler, J. H., & Fisher, S. L. (2013). An evidence-based review of e-HRM and strategic human resource management. Human Resource Management Review, 23, 18–36. doi:10.1016/j.hrmr.2012.06.002

  • Marler, J. H., Fisher, S. L., & Ke, W. (2009). Employee self-service technology acceptance: A comparison of pre-implementation and post-implementation relationships. Personnel Psychology, 62, 327–358. doi:10.1111/j.1744-6570.2009.01140.

  • Mondare, S., Douthitt, S., & Carson, M. (2011). Maximizing the impact and effectiveness of HR Analytics to drive business outcomes. People & Strategy, 34, 20–27

  • Orlikowski, W., & Scott, S. (2008). Sociomateriality: Challenging the separation of technology, work and organization. In The academy of management annals (Vol. 2, pp. 433–474). Abingdon, UK: Routledge.

  • Paauwe, J., & Boselie, P. (2005). ‘Best practices … in spite of performance’: Just a matter of imitation? The International Journal of Human Resource Management., 16, 987-1003.10.1080/09585190500120798

  • Pape, T. (2016). Prioritising data items for business analytics: Framework and application to human resources. European Journal of Operational Research, 252, 687–698.10.1016/j.ejor.2016.01.052

  • Porter, M. E. (1996). What is strategy? Harvard Business Review, 74, 61–78.

  • Rasmussen, T., & Ulrich, D. (2015). Learning from practice: How HR Analytics avoids being a management fad. Organizational Dynamics, 44, 236–242.10.1016/j.orgdyn.2015.05.008

  • Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). Simon and Schuster.

  • Rousseau, D. M., & Boudreau, J. W. (2011). Sticky findings: Research evidence practitioners find useful. In S. A. Mohrman, & E. E. Lawler, III (Eds.), Useful research: Advancing theory and practice (ch. 14). Berrett-Koehler.

  • Rousseau, D. M., Manning, J., & Denyer, D. (2008). 11 Evidence in management and organizational science: Assembling the field’s full weight of scientific knowledge through syntheses. The Academy of Management Annals, 2, 475–515. doi:10.1080/19416520802211651

  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–478

  • Ulrich, D. (2005). The HR value proposition (1 ed.). Harvard Business Press


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  • To study the role of HR Analytics in Predicting the Economic Value of Organization’s Human Capital Investment

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Authors

Swati Chawla
Amity University, India
Puja Sareen
Amity University, Noida, India
Sangeeta Gupta
MERI, India

Abstract


Over the past many years, Human Resource Management has changed. It has moved from an operational discipline towards a more strategic discipline. The popularity of the term Strategic Human Resource Management (SHRM) exemplifies this. The data-driven approach that characterizes HR analytics is in line with this development. By using HR analytics organizations do not rely on gut feeling anymore. Analytics enables HR professionals to make data-driven decisions. Furthermore, analytics helps to test the effectiveness of HR policies and different interventions. The use of data analytics in the field of human resource development is becoming increasingly common. This rise in popularity is accompanied by skepticism about the ability of human resource professionals to effectively utilize data analytics to reap organizational benefits

The HR world is abuzz with talk of big data and the transformative potential of HR analytics. With the changing processes HR analytics is a ‘must have’ capability that will ensure HR's future as a strategic management function while transforming organisational performance for the better. It argues that unless the HR profession wises up to both the potential and drawbacks of this emerging field and engages operationally and strategically to develop better methods and approaches, it is unlikely that existing practices of HR analytics will deliver transformational change. Indeed, it is possible that current trends will seal the exclusion of HR from strategic, board‐level influence while doing little to benefit organisations and actively damaging the interests of employees


Keywords


HR Analytics, Human Resource Management, Talent Analytics, Strategic Human Resource Management, Strategic Workforce Planning, ROI, Human Capital Investment.

References





DOI: https://doi.org/10.25089/MERI%2F2018%2Fv12%2Fi1%2F180118