IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Three-Way Complementarities: Performance Pay, Human Resource Analytics, and Information Technology

  • Sinan Aral

    ()

    (Stern School of Business, New York University, New York, New York 10012)

  • Erik Brynjolfsson

    ()

    (MIT Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142)

  • Lynn Wu

    ()

    (MIT Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142)

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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://dx.doi.org/10.1287/mnsc.1110.1460
Download Restriction: no

Article provided by INFORMS in its journal Management Science.

Volume (Year): 58 (2012)
Issue (Month): 5 (May)
Pages: 913-931

as
in new window

Handle: RePEc:inm:ormnsc:v:58:y:2012:i:5:p:913-931
Contact details of provider: Postal: 7240 Parkway Drive, Suite 300, Hanover, MD 21076 USA
Phone: +1-443-757-3500
Fax: 443-757-3515
Web page: http://www.informs.org/Email:


More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:58:y:2012:i:5:p:913-931. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.