Three-Way Complementarities: Performance Pay, Human Resource Analytics, and Information Technology
Open accessAbstract
We test for three-way complementarities among information technology (IT), performance pay, and human resource (HR) analytics practices. We develop a principal–agent model examining how these practices work together as an incentive system that produces a larger productivity premium when the practices are implemented in concert rather than separately. We assess our model by combining fine-grained data on human capital management (HCM) software adoption over 11 years with detailed survey data on incentive systems and HR analytics practices for 189 firms. We find that the adoption of HCM software is greatest in firms that have also adopted performance pay and HR analytics practices. Furthermore, HCM adoption is associated with a large productivity premium when it is implemented as a system of organizational incentives, but has less benefit when adopted in isolation. The system of three-way complements produces disproportionately greater benefits than pairwise interactions, highlighting the importance of including all three complements. Productivity increases significantly when the HCM systems “go live” but not when they are purchased, which can be years earlier. This helps rule out reverse causality as an explanation for our findings. This paper was accepted by Sandra Slaughter, information systems.
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HR technology facilitates the process of transforming workforce data into information, where executives, HR professionals and line managers can make strategic workforce decisions through its ability to conduct statistical and predictive analysis.
“Second, HR technology facilitates the process of transforming workforce data into information, where executives, HR professionals and line managers can make strategic workforce decisions through its ability to conduct statistical and predictive analysis (Aral et al., 2012;Fernandez and Gallardo-Gallardo, 2020).”
From Bridging the gap: why, how and when HR analytics can impact organizational performance (2022) · cites this paper as Aral et al., 2012
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Investment in Enterprise Resource Planning: Business Impact and Productivity Measures
Hitt, L. M., Wu, D. J., & Zhou, X. (2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045716 · Cited by 877 · cited 3× · see citing works
“Following the literature on IT productivity (Brynjolfsson and Hitt 1996, 2003; Hitt et al. 2002; Aral et al. 2006), we adopt a Cobb–Douglas specification.”
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An evidence-based review of HR Analytics
Marler, J. H., & Boudreau, J. W. (2017) · The International Journal of Human Resource Management · doi:10.1080/09585192.2016.1244699 · Cited by 913 · see citing works
Newman, D. T., Fast, N. J., & Harmon, D. J. (2020) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2020.03.008 · Cited by 550 · see citing works
The dark sides of people analytics: Reviewing the perils for organisations and employees
Giermindl, L. M., Strich, F., Christ, O., Leicht-Deobald, U., & Redzepi, A. (2022) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1927213 · Cited by 331 · see citing works
Human resources analytics: A systematization of research topics and directions for future research
Margherita, A. (2022) · Human Resource Management Review · doi:10.1016/j.hrmr.2020.100795 · Cited by 410 · see citing works
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Tursunbayeva, A., Di Lauro, S., & Pagliari, C. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.08.002 · Cited by 263 · see citing works
Information Technology Impacts on Firm Performance: An Extension of Kohli and 1
Sabherwal, R., & Jeyaraj, A. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.4.4 · Cited by 200 · see citing works
Bridging the gap: why, how and when HR analytics can impact organizational performance
McCartney, S., & Fu, N. (2022) · Management Decision · doi:10.1108/md-12-2020-1581 · Cited by 173 · see citing works
When does AI pay off? AI-adoption intensity, complementary investments, and R&D strategy
Lee, Y. S., Kim, T., Choi, S., & Kim, W. (2022) · Technovation · doi:10.1016/j.technovation.2022.102590 · Cited by 141 · see citing works
Information technology, Repeated Contracts, and the Number of Suppliers
Aral, S., Bakos, Y., & Brynjolfsson, E. (2018) · Management Science · doi:10.1287/mnsc.2016.2631 · Cited by 65 · see citing works
Self-citationQuantifying human resource management: a literature review
Coron, C. (2022) · Personnel Review · doi:10.1108/pr-05-2020-0322 · Cited by 40 · see citing works
- Authors
- Aral, S., Brynjolfsson, E., & Wu, L.
- Affiliations
- New York University (US)
- Massachusetts Institute of Technology (US)
- Venue
- Management Science
- Published
- 2012-05
- Volume
- 58
- Issue
- 5
- Pages
- 913-931
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2132062278
- Cited by
- 365
- References
- 1
- Citations by year
- 2026: 28 · 2025: 39 · 2024: 38 · 2023: 39 · 2022: 35 · 2021: 32 · 2020: 20 · 2019: 23 · 2018: 20 · 2017: 20 · 2016: 23 · 2015: 15 · 2014: 12 · 2013: 14 · 2012: 5
- FWCI
- 29.91
- Type
- journal article
- Language
- en
- Open access
- green
- orcid.org
- Licence
- cc-by-nc-sa
- Locations
- Management Science (publishedVersion)
- ScholarlyCommons (University of Pennsylvania) (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- SSRN Electronic Journal
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Human Resource and Talent Management
- Keywords
- performance-based pay, HR analytics, information technology adoption, principal-agent model, organizational incentives, productivity premium, incentive mechanisms, human resource management
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