Essential Human Resource Metrics and Analytics for Sustainable Work Environments: Literature Mapping and Conceptual Synthesis

Ann Gaceri Kaaria

doi:10.37284/eajbe.7.1.1976

Ann Gaceri Kaaria, PhD Kiriri Women’s’ University of Science and Technology

DOI: https://doi.org/10.37284/eajbe.7.1.1976

Keywords: Human Resource Metrics, Employee Performance, Organizational Performance, Sustainable Work Environments, Human Resource Analytics

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Abstract

Human resource (HR) metrics and analytics play a critical part in creating sustainable work environments in today's fast-paced and cutthroat business environment. The present study aims to investigate the critical HR metrics and analytics required for establishing and preserving sustainable work environments in organizations through a thorough mapping of the literature and conceptual synthesis. In order to evaluate and improve sustainability factors including employee engagement, retention, productivity, well-being, diversity, equality, and inclusion (DEI), and environmental sustainability practices, a wide range of HR metrics and analytics are examined in this study. By means of a methodical examination of extant literature and academic sources, this study pinpoints crucial HR metrics and analytics frameworks that facilitate sustainable work practices. In order to clarify the interactions and connections between these HR analytics and indicators and their effects on sustainable work environments, the study also performs a conceptual synthesis. The study intended to provide insights into how organisations may use HR metrics and analytics to promote sustainability initiatives and develop positive work cultures by synthesising actual facts and theoretical frameworks. The findings from this research contribute to advancing the understanding of the strategic role of HR metrics and analytics in promoting sustainability within organizations. By adopting a data-driven approach and utilizing relevant metrics and analytics tools, HR professionals and organizational leaders can make informed decisions, implement targeted interventions, and cultivate work environments that foster employee well-being, organizational resilience, and long-term sustainability. This research offers valuable guidance for HR practitioners, researchers, and policymakers seeking to enhance sustainability practices in the workplace

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References

ActiPLANS (2004-2024). 15 Common HR Metrics and Their Formulas. https://www.actiplans.com/blog/key-hr-metrics-and-their-formulas

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.

Avrahami, D., Pessach, D., Singer, G. & Ben-Gal, H.C. (2022) A human resources analytics and machine-learning examination of turnover: implications for theory and practice. International Journal of Manpower, 43(6), 1405–1424. Available from: https://doi.org/10.1108/IJM-12-2020-0548

Bechter, B., Brandl, B. & Lehr, A. (2022) The role of the capability, opportunity, and motivation of firms for using human resource analytics to monitor employee performance: a multi-level analysis of the organisational, market, and country context. New Technology, Work and Employment, 37(3), 398–424. Available from: https://doi.org/10.1111/ntwe.12239

Belizón, M.J. & Kieran, S. (2022) Human resources analytics: a legitimacy process. Human Resource Management Journal, 32(3), 603–630. Available from: https://doi.org/10.1111/1748-8583.12417

Ben-Gal, H.C. (2019) An ROI-based review of HR analytics: practical implementation tools. Personnel Review, 48(6), 1429–1448. Available from: https://doi.org/10.1108/PR-11-2017-0362

Bhat, A. (2024). Employee Net Promoter Score (eNPS): What it is + Free Guide. Employee Net Promoter Score (eNPS): What it is + Free Guide

Bohlouli, M., Mittas, N., Kakarontzas, G., Theodosiou, T., Angelis, L. & Fathi, M. (2017) Competence assessment as an expert system for human resource management: a mathematical approach. Expert Systems with Applications, 70, 83–102. Available from: https://doi.org/10.1016/j.eswa.2016.10.046

Dahlbom, S., Siikanen, N., Sajasalo, P. & Jarvenpää, M. (2020) Big data and HR analytics in the digital era. Baltic Journal of Management, 15(1), 120–138. Available from: https://doi.org/10.1108/BJM-11-2018-0393

Edwards, M.R., Charlwood, A., Guenole, N. & Marler, J. (2022) HR analytics: an emerging field finding its place in the world alongside simmering ethical challenges. Human Resource Management Journal, 1–11. Available from: https://doi.org/10.1111/1748-8583.12435

Edwards, M.R. & Edwards, K. (2019) Predictive HR analytics: mastering the HR metric. London: Kogan Page Publishers.

Falletta, S.V. & Combs, W.L. (2020) The HR analytics cycle: a seven-step process for building evidence-based and ethical HR analytics capabilities. Journal of Work-Applied Management, 13(1), 51–68. Available from: https://doi.org/10.1108/JWAM-03-2020-0020

Fastercapital (2024). Measuring Success: HR Metrics in Human Resource Planning. https://fastercapital.com/content/Measuring-Success--HR-Metrics-in-Human-Resource-Planning.html

Fu, N., Keegan, A. & McCartney, S. (2022) The duality of HR analysts' storytelling: showcasing and curbing. Human Resource Management Journal, 33(2), 1–26. Available from:

Gurusinghe, R.N., Arachchige, B.J. & Dayarathna, D. (2021) Predictive HR analytics and talent management: a conceptual framework. Journal of Management Analytics, 8(2), 195–221. Available from: https://doi.org/10.1080/23270012.2021.1899857

Hermawati, A. & Mas, N. (2017) Mediation effect of quality of work life, job involvement, and organizational citizenship behavior in relationship between transglobal leadership to employee performance. International Journal of Law and Management, 59(6), 1143–1158. Available from: https://doi.org/10.1108/IJLMA-08-2016-0070

Huselid, M.A. (2018) The science and practice of workforce analytics: introduction to the HRM special issue. Human Resource Management, 57(3), 679–684. Available from: https://doi.org/10.1002/hrm.21916

Bakre, P. (2019). The Role of HR Analytics in the Gobal Village. International Journal of Trend in Scientific Research and Development.

Baehre, S., O’Dwyer, M., O’Malley, Lee. N. (2022). The use of Net Promoter Score (NPS) to predict sales growth: insights from an empirical investigation. J. of the Acad. Mark. Sci. 50, 67– 84. https://doi.org/10.1007/s11747-021-00790-2

Belizón, J, M., Majarín, D., Aguado, D. (2023). Human resources analytics in practice: A knowledge discovery process. European management Review. https://doi.org/10.1111/emre.12605

Bonilla-Chaves, E. F., & Palos-Sánchez, P. R. (2023). Exploring the Evolution of Human Resource Analytics: A Bibliometric Study. Behavioral sciences (Basel, Switzerland), 13(3), 244. https://doi.org/10.3390/bs13030244

Cavanagh, J., Bartram, T., Walker, M., Pariona-Cabrera, P. and Halvorsen, B. (2024), "Health services in Australia and the impact of antiquated rostering practices on medical scientists: a case for HR analytics and evidenced-based human resource management", Personnel Review, Vol. 53 No. 1, pp. 18-33. https://doi.org/10.1108/PR

Charvi, S. (2007-2024). Top 5 Benefits of Implementing LAMP Framework in HR Analytics. https://www.chrmp.com/guide-to-implement-lamp-framework/

CHRMP (2007-2024). The Difference Between HR Metrics and HR Analytics: A Comprehensive Guide. https://www.chrmp.com/hr-metrics-and-hr-analytics/

Diard, A. (2023). HR Measurement: Everything You Need To Know About HR Metrics. https://peoplespheres.com/hr-measurement-everything-you-need-to-know-about-hr-metrics/

Durai D., S., Rudhramoorthy, K. and Sarkar, S. (2019), "HR metrics and workforce analytics: it is a journey, not a destination", Human Resource Management International Digest, Vol. 27 No. 1, pp. 4-6. https://doi.org/10.1108/HRMID-08-2018-0167

Eqtble (2022). 20 Important HR Metrics in 2024 and How to Track Them. https://www.eqtble.com/post/hr-metrics-and-how-to-track-them

Factor HR (2024). 12 Key HR Metrics That Every Organization Should Measure. https://factohr.com/12-key-hr-metrics-that-every-organization-should-measure/

Jaishi, R. (2024). HR Analytics: Meaning, Key metrics, Process, Examples, and Best Practices In 2024. https://www.vantagecircle.com/en/blog/hr-analytics/

Jay, S. (2024). How to Measure HR Effectiveness: 12 Useful Metrics. https://www.aihr.com/blog/how-to-measure-hr-effectiveness/

Khan, J. (2024). 11 Key HR Metrics: How to Measure & Use Them Intelligently. https://www.selectsoftwarereviews.com/blog/hr-metrics

Lalwani, P. (2007-2024). What Are HR Analytics? Definition, Importance, Key Metrics, Data Requirements, and Implementation; Looking to get started with HR analytics? Here’s your primer on its definition, metrics and successful implementation. https://www.spiceworks.com/hr/hr-analytics/articles/what-is-hr-analytics/

Pillai, R. and Sivathanu, B. (2022), "Measure what matters: descriptive and predictive metrics of HRM-pathway toward organizational performance", International Journal of Productivity and Performance Management, Vol. 71 No. 7, pp. 3009-3029. https://doi.org/10.1108/IJPPM-10-2020-0509

Profit.co (2024). Top 10 HR Metrics that you should measure. https://www.profit.co/blog/kpi-library/top-10-hr-metrics-that-you-should-measure-kpi-profit-co/

Ng, S.F. (2023). Top 20 HR KPI Metrics & Examples for Human Resource Manager, Executive, Department – HRMS. https://www.linkedin.com/pulse/top-20-hr-kpi-metrics-examples-human-resource-manager- shone- fone ng/?utm_source=share&utm_medium=member_android&utm_campaign=share_via

Mind Tools Limited (2024). Managing in a VUCA World: Thriving in Turbulent Times. https://www.mindtools.com/asnydwg/managing-in-a-vuca-world

Munshi, V. (2022). HR metrics examples in recruitment. https://www.linkedin.com/pulse/hr-metrics-examples-recruitment-vanshika-munshi/

Opatha, H, H, D, P, J. (2020). HR Analytics: A Literature Review and New Conceptual Model. International Journal of Scientific and Research Publications, Volume 10, Issue 6

Rani, A. (2024). Unlocking Organizational Success: Harnessing the Power of HR Metrics for Data-Driven Decisions in 2024. https://www.linkedin.com/pulse/unlocking-organizational-success-harnessing-power-hr-metrics-rani-ehnqc/

Reddy, P.R. and Lakshmikeerthi, P. (2017), “HR analytics’-an effective evidence-based HRM tool”, International Journal of Business and Management Invention, Vol. 6 October 2016, pp. 23-34.

Reichheld, F. F. (2003). The one number you need to grow. Harvard Business Review, 81(12), 46–54.

Silwal, P. (2024). Useful HR Metrics and HR Scorecard for your Corporate.https://www.linkedin.com/pulse/useful-hr-metrics-score-card-your-corporate-pawan-silwal-ya7zf/?utm_source=share&utm_medium=member_android&utm_campaign=share_via

Simón, C. & Ferreiro, E. (2018) Workforce analytics: a case study of scholar–practitioner collaboration. Human Resource Management, 57(3), 781–793. Available from: https://doi.org/10.1002/hrm.21853

Siocon, G. (2024). Employee Net Promoter Score (eNPS): The Ultimate 2024 Guide. https://www.aihr.com/blog/employee-net-promoter-score-enps/

Strohmeier, S., Collet, J. & Kabst, R. (2022) (how) do advanced data and analyses enable HR analytics success? A neo-configurational analysis. Baltic Journal of Management, 17(3), 285–303. Available from: https://doi.org/10.1108/BJM-05-2021-0188

Sureshi, M. (2023). The Future of HR Analytics: Emerging Trends and Technologies to Watch. https://www.linkedin.com/pulse/future-hr-analytics-emerging-trends-technologies-watch-suresh-/

Tambe, P., Cappelli, P.V. & Yakubovich, V. (2019) Artificial intelligence in human resources management: challenges and a path forward. California Management Review, 61(4), 15– 42. Available from: https://doi.org/10.1177/0008125619867910

Tursunbayeva, A., Di Lauro, S. & Pagliari, C. (2018) People analytics—a scoping review of conceptual boundaries and value propositions. International Journal of Information Management, 43, 224–247. Available from: https://doi.org/10.1016/j.ijinfomgt.2018.08.00

Tursunbayeva, A., Pagliari, C., Di Lauro, S. & Antonelli, G. (2022) The ethics of people analytics: risks, opportunities and recommendations. Personnel Review, 51(3), 900– 921. Available from: https://doi.org/10.1108/PR-12-2019-0680

Van der Togt, J. & Rasmussen, T.H. (2017) Toward evidence-based HR. Journal of Organizational Effectiveness: People and Performance, 4(2), 127–132. Available from: https://doi.org/10.1108/JOEPP-02-2017-0013

Vulpen, E. (2024). 19 HR Metrics Examples: Making Data-Driven Decisions in 2024. https://www.aihr.com/blog/hr-metrics-examples/

West, M. (2019) People analytics for dummies. New Jersey: John Wiley & Sons.

Yahia, N.B., Hlel, J. & Colomo-Palacios, R. (2021) From big data to deep data to support people analytics for employee attrition prediction. IEEE Access, 9, 60447–60458. Available from: https://doi.org/10.1109/ACCESS.2021.3074559

Yaneva, M. (2018). Employee Satisfaction Vs. Employee Engagement Vs. Employee NPS. European Journal of Economics and Business Studies.

Yuan, S., Kroon, B. & Kramer, A. (2021) Building prediction models with grouped data: a case study on the prediction of turnover intention. Human Resource Management Journal, 1–19. Available from: https://doi.org/10.1111/1748-8583.12396