From Adoption to Capability: Rethinking HR Analytics in Organizations

An Integrative Review of Applications, Outcomes, and Constraints

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Abstract

Organizations are rapidly adopting HR analytics to support data-driven decision making. Yet much of the existing literature treats the use of analytics tools as evidence of organizational capability, leaving the distinction between adoption and capability largely unexamined. This study addresses this limitation by mapping the intellectual structure of HR analytics research through an adoption-to-capability perspective. Using a systematic integrative literature review of 138 peer-reviewed articles published between 2020 and 2026, we examine how HR analytics is applied across HR functions, which outcomes are reported, and which barriers persist across organizational contexts. The findings show that HR analytics research is concentrated on operational and managerial applications, particularly recruitment, retention, and performance management, and is mainly supported by descriptive and limited predictive analytics. Reported outcomes emphasize efficiency, performance improvement, and decision quality, while strategic contributions remain weakly evidenced. Persistent challenges related to skills, data infrastructure, governance, and conceptual fragmentation continue to constrain deeper capability development. Overall, the literature reflects early to intermediate stages of HR analytics capability maturity.

 

References

Abdelhay, S., Altamimi, A. A., Korany, H., & El-Bannany, M. (2025). The impact of human resource (HR) analytics on employee retention: The mediated moderated role of employee engagement and organisational culture in Egypt. African Journal of Business and Economic Research, 20(3), 397–424. https://doi.org/10.31920/1750-4562/2025/v20n3a17

Abujraiban, A., Assaf, G. J., & Hmoud, A. Y. R. (2025). The adoption of human resources analytics in construction projects in Jordan: Antecedents and consequences. Journal of Management Analytics, 12(1), 134–173. https://doi.org/10.1080/23270012.2025.2455550

Abuzaid, A. N. (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. https://doi.org/10.5267/j.ijdns.2024.4.001

Alzghoul, A. (2025). How HR analytics catalyzes bank competitiveness: Investigating the mediating role of data-driven decision-making and the moderating effect of organizational agility. Banks and Bank Systems, 20(2), 107–119. https://doi.org/10.21511/bbs.20(2).2025.09

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. https://doi.org/10.1111/1748-8583.12090

Arora, S., Chaudhary, P., & Singh, R. K. (2025). Adoption of HR analytics for future-proof decision making: Role of attitude toward artificial intelligence as a moderator. International Journal of Organizational Analysis, 33(9), 3047–3063. https://doi.org/10.1108/IJOA-03-2024-4392

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

Bar-Gil, O., Ron, T., & Czerniak, O. (2024). AI for the people? Embedding AI ethics in HR and people analytics projects. Technology in Society, 77, Article 102527. https://doi.org/10.1016/j.techsoc.2024.102527

Bartoloni, S. & Ancillai, C. (2024) Twenty years of social media marketing: a systematic review, integrative framework, and future research agenda. International Journal of Management Reviews, 26, 435–457. https://doi.org/10.1111/ijmr.12360

Bayo-Moriones, A., Erro, A., & Lera-Lopez, F. (2025). The role of technology, calculative and collaborative HRM and social trust in driving human resource analytics in European firms. Personnel Review. https://doi.org/10.1108/PR-06-2024-0561

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. https://doi.org/10.1111/ntwe.12239

Belizón, M. J., Majarín, D., & Aguado, D. (2024). Human resources analytics in practice: A knowledge discovery process. European Management Review, 21(3), 659–677. https://doi.org/10.1111/emre.12605

Bondarouk, T., & Brewster, C. (2016). Conceptualising the future of HRM and technology research. The International Journal of Human Resource Management, 27(21), 2652–2671. https://doi.org/10.1080/09585192.2016.1232296

Boudreau, J., & Cascio, W. (2017). Human capital analytics: Why are we not there? Journal of Organizational Effectiveness: People and Performance, 4(2), 119–126. https://doi.org/10.1108/JOEPP-03-2017-0021

Budak, M. C., & Soyer, A. (2025). Human resources analytics performance measurement: A novel hybrid approach based on cumulative belief degree and PLS-SEM. International Journal of Intelligent Computing and Cybernetics, 18(2), 353–381. https://doi.org/10.1108/IJICC-10-2024-0535

Cameron, R., Herrmann, H., & Nankervis, A. (2024). Mapping the evolution of algorithmic HRM (AHRM): A multidisciplinary synthesis. Humanities and Social Sciences Communications, 11(1). https://doi.org/10.1057/s41599-024-02786-z

Cayrat, C., & Boxall, P. (2022). Exploring the phenomenon of HR analytics: A study of challenges, risks and impacts in 40 large companies. Journal of Organizational Effectiveness, 9(4), 572–590. https://doi.org/10.1108/JOEPP-08-2021-0238

Chang, Y.-L., & Ke, J. (2024). Socially responsible artificial intelligence empowered people analytics: A novel framework towards sustainability. Human Resource Development Review, 23(1), 88–120. https://doi.org/10.1177/15344843231200930

Cho, W., Choi, S., & Choi, H. (2023). Human resources analytics for public personnel management: Concepts, cases, and caveats. Administrative Sciences, 13(2), Article 41. https://doi.org/10.3390/admsci13020041

Conte, F., & Siano, A. (2023). Data-driven human resource and data-driven talent management in internal and recruitment communication strategies: An empirical survey on Italian firms and insights for European context. Corporate Communications, 28(4), 618–637. https://doi.org/10.1108/CCIJ-02-2022-0012

Coolen, P., van den Heuvel, S., Van De Voorde, K., & Paauwe, J. (2023). Understanding the adoption and institutionalization of workforce analytics: A systematic literature review and research agenda. Human Resource Management Review, 33(4), Article 100985. https://doi.org/10.1016/j.hrmr.2023.100985

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

Danilkova, A., Bondar, V., Bannikova, K., Prokhorovska, S., & Vodolazhska, T. (2024). Using data and analytics to optimise the human resources processes. Data and Metadata, 3. https://doi.org/10.56294/dm2024.243

Di Prima, C., Čepel, M., Kotásková, A., & Ferraris, A. (2024). Help me help you: How HR analytics forecasts foster organizational creativity. Technological Forecasting and Social Change, 206, Article 123540. https://doi.org/10.1016/j.techfore.2024.123540

Ekka, S., & Singh, P. (2022). Predicting HR professionals' adoption of HR analytics: An extension of the UTAUT model. Organizacija, 55(1), 77–93. https://doi.org/10.2478/orga-2022-0006

Ellmer, M., & Reichel, A. (2021). Staying close to business: The role of epistemic alignment in rendering HR analytics outputs relevant to decision-makers. The International Journal of Human Resource Management, 32(12), 2622–2642. https://doi.org/10.1080/09585192.2021.1886148

Fernandez, V., & Gallardo-Gallardo, E. (2021). Tackling the HR digitalization challenge: Key factors and barriers to HR analytics adoption. Competitiveness Review, 31(1), 162–187. https://doi.org/10.1108/CR-12-2019-0163

Fu, N., Keegan, A., & McCartney, S. (2023). The duality of HR analysts' storytelling: Showcasing and curbing. Human Resource Management Journal, 33(2), 261–286. https://doi.org/10.1111/1748-8583.12466

Gal, U., Jensen, T. B., & Stein, M.-K. (2020). Breaking the vicious cycle of algorithmic management: A virtue ethics approach to people analytics. Information and Organization, 30(2), Article 100301. https://doi.org/10.1016/j.infoandorg.2020.100301

Gogia, E. H., Akhter, A. R., & Shao, Z. (2024). Unlocking success: Exploring the impact of human resource competence on job performance in Pakistan's engineering sector. Engineering, Technology and Applied Science Research, 14(3), 14754–14759. https://doi.org/10.48084/etasr.7363

Gong, Q., Fan, D., & Bartram, T. (2025). Algorithmic human resource management: Toward a functional affordance perspective. Personnel Review, 54(5), 1150–1177. https://doi.org/10.1108/PR-01-2024-0099

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

Huang, X., Fu, F., Zheng, J., Feng, C., & Zhang, L. (2023). Personalized human resource management via HR analytics and artificial intelligence: Theory and implications. Asia Pacific Management Review, 28(4), 598–610. https://doi.org/10.1016/j.apmrv.2023.04.004

Islam, M., Mamun, A. A., Afrin, S., Ali Quaosar, G. M. A., & Uddin, M. A. (2022). Technology adoption and human resource management practices: The use of artificial intelligence for recruitment in Bangladesh. South Asian Journal of Human Resources Management, 9(2), 324–349. https://doi.org/10.1177/23220937221122329

Jain, P., & Jain, P. (2020). Understanding the concept of HR analytics. International Journal on Emerging Technologies, 11(2), 644–652.

Khajuria, R., Maini, A., & Bukhari, S. S. (2024). Bridging the gap: HR analytics adoption in the VUCA world of Industry 5.0. Global Knowledge, Memory and Communication. https://doi.org/10.1108/GKMC-06-2024-0335

Kiran, P. R., Chaubey, A., & Shastri, R. K. (2024). Role of HR analytics and attrition on organisational performance: A literature review leveraging the SCM-TBFO framework. Benchmarking, 31(9), 3102–3129. https://doi.org/10.1108/BIJ-06-2023-0412

Klöpper, M., & Messer, U. (2025). Empirical insights on perceived fairness violation in algorithm-supported managerial decisions. Journal of Business Analytics, 8(4), 232–249. https://doi.org/10.1080/2573234X.2025.2482645

Kovačević, I., Pantelić, O., & Andelković Labrović, J. (2024). Predictors of employees’ voluntary turnover intentions: Analytic hierarchy process approach. Yugoslav Journal of Operations Research, 34(3), 587–602. https://doi.org/10.2298/YJOR231215002K

Kulikowski, K. (2024). Defining analytical skills for human resources analytics: A call for standardization. Journal of Entrepreneurship, Management and Innovation, 20(4), 88–103. https://doi.org/10.7341/20242045

Lathabhavan, R. (2024). Mental well-being through HR analytics: Investigating an employee supportive framework. Personnel Review, 53(5), 1110–1128. https://doi.org/10.1108/PR-11-2022-0836

Loscher, G. J., & Bader, V. (2023). Creating accountability through HR analytics: An audit society perspective. Human Resource Management Review, 33(4), Article 100974. https://doi.org/10.1016/j.hrmr.2023.100974

Madsen, D. Ø., Alsvik, L., & Slåtten, K. (2025). HR analytics in Norwegian companies: An updated overview. International Journal of Procurement Management, 24(3), 330–346. https://doi.org/10.1504/IJPM.2025.149399

Malekinezhad, M., Rahimnia, F., Eslami, G., & Farahi, M. M. (2025). Human resource analytics adoption: A framework-based analysis, fuzzy Delphi method and fuzzy SWARA. Journal of Advances in Management Research, 22(4), 597–627. https://doi.org/10.1108/JAMR-05-2024-0181

Manokha, I. (2020). The implications of digital employee monitoring and people analytics for power relations in the workplace. Surveillance & Society, 18(4), 540–554. https://doi.org/10.24908/ss.v18i4.13776

Margherita, A. (2022). Human resources analytics: A systematization of research topics and directions for future research. Human Resource Management Review, 32(2), Article 100795. https://doi.org/10.1016/j.hrmr.2020.100795

McCartney, S., & Fu, N. (2022). Promise versus reality: A systematic review of the ongoing debates in people analytics. Journal of Organizational Effectiveness, 9(2), 281–311. https://doi.org/10.1108/JOEPP-01-2021-0013

McCartney, S., Murphy, C., & McCarthy, J. (2020). 21st century HR: A competency model for the emerging role of HR Analysts. Personnel Review, 50(6), 1495–1513. https://doi.org/10.1108/PR-12-2019-0670

Muchowe, R. M., Mubango, H., Soko, M., Dumba, E., & Chivabvu, E. (2025). The moderating role of HR analytics on the effects of high-performance work systems on the productivity of manufacturing SMEs in Harare CBD. Cogent Business & Management, 12(1), Article 2514810. https://doi.org/10.1080/23311975.2025.2514810

Muhammad, G., & Naz, F. (2022). A moderating role of HR analytics between employee engagement, retention and organisational performance. International Journal of Business Environment, 13(4), 345–357. https://doi.org/10.1504/IJBE.2022.126370

Mushtaq, N., Manjiang, X., Bakhtawar, A., & Mufti, M. A. (2024). Elevating the influence of HR analytics on organizational performance: An empirical investigation in the hi-tech manufacturing industry of a developing economy. Journal of Chinese Human Resources Management, 15(2), 3–40. https://doi.org/10.47297/wspchrmWSP2040-800501.20241502

Opatha, H. H. D. P. J., Dayarathna, N. W. K. D. K., Dowling, P. J., & Bartram, T. (2025). Unleashing the value of HR analytics: Examining the competency influence on business performance in Sri Lanka. Journal of Management Analytics, 12(3), 582–608. https://doi.org/10.1080/23270012.2025.2515112

Ozkanli, F. M., & Gök, S. (2025). HR analytics maturity indicators: Developing a measurement scale. Journal of Work-Applied Management, 1–16. https://doi.org/10.1108/JWAM-05-2025-0083

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., . . . Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. PLOS Medicine, 18(3), Article e1003583. https://doi.org/10.1371/journal.pmed.1003583

Pagnozzi, F. (2022). People analytics and human resource management: How the use of smart data can improve the training processes. PuntOorg International Journal, 7(2), 108–123. https://doi.org/10.19245/25.05.pij.7.2.2

Pongpisutsopa, S., Thammaboosadee, S., & Chuckpaiwong, R. (2020). Factors affecting HR analytics adoption: A systematic review using literature weighted scoring approach. Asia Pacific Journal of Information Systems, 30(4), 847–878. https://doi.org/10.14329/APJIS.2020.30.4.847

Qamar, Y., & Samad, T. A. (2022). Human resource analytics: A review and bibliometric analysis. Personnel Review, 51(1), 251–283. https://doi.org/10.1108/PR-04-2020-0247

Qin, C., Zhang, L., Cheng, Y., Zha, R., Shen, D., Zhang, Q., Chen, X., Sun, Y., Zhu, C., Zhu, H., & Xiong, H. (2025). A comprehensive survey of artificial intelligence techniques for talent analytics. Proceedings of the IEEE, 113(2), 125–171. https://doi.org/10.1109/JPROC.2025.3572744

Ratnam, S. R., & Vangapandu, V. R. (2025). Organizational adoption factors of HR analytics: A practitioner’s perspective. Management and Labour Studies, 50(4), 567–585. https://doi.org/10.1177/0258042X241249244

Ravesangar, K., & Narayanan, S. (2024). Adoption of HR analytics to enhance employee retention in the workplace: A review. Human Resources Management and Services, 6(3). https://doi.org/10.18282/hrms.v6i3.3481

Rigamonti, E., Colaiacovo, B., Gastaldi, L., & Corso, M. (2024). HR analytics and the data collection process: The role of attributions and perceived legitimacy in explaining employees’ fear of datafication. Journal of Organizational Effectiveness, 12(5), 1–23. https://doi.org/10.1108/JOEPP-06-2023-0246

Roul, J., Mohapatra, L. M., & Kamesh, A. V. S. (2025). Exploring the landscape of human resource analytics: A systematic literature review and future agenda. Human Resource Development International, 28(4), 591–604. https://doi.org/10.1080/13678868.2024.2334982

Saputra, A., Wang, G., Zhang, Z., & Behl, A. (2022). The framework of talent analytics using big data. The TQM Journal, 34(1), 178–198. https://doi.org/10.1108/TQM-03-2021-0089

Saxena, M., Bagga, T., Gupta, S., & Rameshwar, R. (2025). Exploring the antecedents, analytical tools, and challenges in implementation of adoption of HR analytics: A study in the Indian context. SAGE Open, 15(2). https://doi.org/10.1177/21582440251328078

Shet, S. V. (2025). Developing human resource analytics capability architecture in organizations. Personnel Review, 1–25. https://doi.org/10.1108/PR-01-2024-0009

Shrivastava, S., & Dhaigude, A. S. (2022). Prime Data Tech Pvt. Ltd: Resolving employee recruitment dilemma using HR analytics. Communications of the Association for Information Systems, 50(1). https://doi.org/10.17705/1CAIS.05027

Siddiqua, S. I., Mahdi Abaker, M. O. S. M., & Afnan, R. T. (2023). Organizational performance and human resources analytics in a developing country. Polish Journal of Management Studies, 28(2), 274–288. https://doi.org/10.17512/pjms.2023.28.2.16

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

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. https://doi.org/10.1108/BJM-05-2021-0188

Suri, N., & Lakhanpal, P. (2024). People analytics enabling HR strategic partnership: A review. South Asian Journal of Human Resources Management, 11(1), 130–164. https://doi.org/10.1177/23220937221119599

Tandon, A., Dhir, A., Malik, A., Budhwar, P., & Kaur, P. (2025). Exploring the duality of perceptions: Insights into uncertainties, aversion and appreciation towards algorithmic HRM. Human Resource Management, 64(2), 583–616. https://doi.org/10.1002/hrm.22263

Teece, D.J. (2007), Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strat. Mgmt. J., 28: 1319-1350. https://doi.org/10.1002/smj.640

Thakral, P., Srivastava, P. R., Dash, S. S., Jasimuddin, S. M., & Zhang, Z. (2023). Trends in the thematic landscape of HR analytics research: A structural topic modeling approach. Management Decision, 61(12), 3665–3690. https://doi.org/10.1108/MD-01-2023-0080

Tindi, R. G., & Silaban , D. P. (2025). Beyond the Consumer Lens: Mapping Firm-Side Digital Marketing Studies in Indonesian MSMEs. International Journal Administration, Business & Organization, 6(3), 261-276. https://doi.org/10.61242/ijabo.25.616

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375

Tursunbayeva, A., Lauro, S.D., & Pagliari, C. (2018). People analytics - A scoping review of conceptual boundaries and value propositions. Int. J. Inf. Manag., 43, 224-247. https://doi.org/10.1016/J.IJINFOMGT.2018.08.002

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. https://doi.org/10.1108/PR-12-2019-0680

Vadithe, R. N., Nenavath, N., Kesari, B., Chiranjeevi, V., Mudavath, C. B. N., & Rajput, R. C. (2025). The role of HR analytics in driving organizational agility and operational performance: Evidence from the construction sector. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-01-2025-0076

Wang, L., Zhou, Y., Sanders, K., Marler, J., & Zou, Y. (2024). Determinants of effective HR analytics implementation: An in-depth review and a dynamic framework for future research. Journal of Business Research, 170, Article 114312. https://doi.org/10.1016/j.jbusres.2023.114312

Wiener, M., Strahringer, S., & Kotlarsky, J. (2025). Where are the processes in IS research on digital transformation? A critical literature review and future research directions. The Journal of Strategic Information Systems, 34(2), Article 101900. https://doi.org/10.1016/j.jsis.2025.101900

Zeidan, S., & Itani, N. (2020). HR analytics and organizational effectiveness. International Journal on Emerging Technologies, 11(2), 683–688.

Zieglmeier, V., & Pretschner, A. (2023). Rethinking people analytics with inverse transparency by design. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW2), Article 308. https://doi.org/10.1145/3610083

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2025-12-29
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From Adoption to Capability: Rethinking HR Analytics in Organizations: An Integrative Review of Applications, Outcomes, and Constraints. (2025). Research Trend in Technology and Management, 3(4). https://rtt-journal.com/index.php/rttm/article/view/118

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