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The informational value of employee online reviews

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  • Symitsi, Efthymia
  • Stamolampros, Panagiotis
  • Daskalakis, George
  • Korfiatis, Nikolaos

Abstract

This paper investigates the informational value of online reviews posted by employees for their employer, a rather untapped source of online information from employees, using a sample of 349,550 reviews from 40,915 UK firms. We explore this novel form of electronic Word-of-Mouth (e-WOM) from different perspectives, namely: (i) its information content as a tool to identify the drivers of job satisfaction/dissatisfaction, (ii) its predictive ability on firm financial performance and (iii) its operational and managerial value. Our approach considers both the rating score as well as the review text through a probabilistic topic modeling method, providing also a roadmap to quantify and exploit employee big data analytics. The novelty of this study lies in the coupling of structured and unstructured data for deriving managerial insights through a battery of econometric, financial and operational research methodologies. Our empirical analyses reveal that employee online reviews have informational value and incremental predictability gains for a firm's internal and external stakeholders. The results indicate that when models integrate structured and unstructured big data there are leveraged opportunities for firms and managers to enhance the informativeness of decision support systems and in turn, gain competitive advantage.

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  • Symitsi, Efthymia & Stamolampros, Panagiotis & Daskalakis, George & Korfiatis, Nikolaos, 2021. "The informational value of employee online reviews," European Journal of Operational Research, Elsevier, vol. 288(2), pages 605-619.
    • Handle: RePEc:eee:ejores:v:288:y:2021:i:2:p:605-619
    DOI: 10.1016/j.ejor.2020.06.001
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    as
    1. Flannery, Mark J. & Hankins, Kristine Watson, 2013. "Estimating dynamic panel models in corporate finance," Journal of Corporate Finance, Elsevier, vol. 19(C), pages 1-19.
    2. Amir, Eli & Lev, Baruch, 1996. "Value-relevance of nonfinancial information: The wireless communications industry," Journal of Accounting and Economics, Elsevier, vol. 22(1-3), pages 3-30, October.
    3. De Bruecker, Philippe & Van den Bergh, Jorne & Beliën, Jeroen & Demeulemeester, Erik, 2015. "Workforce planning incorporating skills: State of the art," European Journal of Operational Research, Elsevier, vol. 243(1), pages 1-16.
    4. Greg Filbeck & Dianna Preece, 2003. ""Fortune's" Best 100 Companies to Work for in America: Do They Work for Shareholders?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(5-6), pages 771-797.
    5. Luigi Zingales, 2000. "In Search of New Foundations," Journal of Finance, American Finance Association, vol. 55(4), pages 1623-1653, August.
    6. Margaret E. Roberts & Brandon M. Stewart & Edoardo M. Airoldi, 2016. "A Model of Text for Experimentation in the Social Sciences," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 988-1003, July.
    7. Xinxin Li & Lorin M. Hitt, 2008. "Self-Selection and Information Role of Online Product Reviews," Information Systems Research, INFORMS, vol. 19(4), pages 456-474, December.
    8. Zeynep Ton & Robert S. Huckman, 2008. "Managing the Impact of Employee Turnover on Performance: The Role of Process Conformance," Organization Science, INFORMS, vol. 19(1), pages 56-68, February.
    9. Bertels, K. & Jacques, J. M. & Neuberg, L. & Gatot, L., 1999. "Qualitative company performance evaluation: Linear discriminant analysis and neural network models," European Journal of Operational Research, Elsevier, vol. 115(3), pages 608-615, June.
    10. Zhan, Yuanzhu & Tan, Kim Hua, 2020. "An analytic infrastructure for harvesting big data to enhance supply chain performance," European Journal of Operational Research, Elsevier, vol. 281(3), pages 559-574.
    11. Martin Kunc & Frances A. O’Brien, 2019. "The role of business analytics in supporting strategy processes: Opportunities and limitations," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(6), pages 974-985, June.
    12. Schneider, Matthew J. & Gupta, Sachin, 2016. "Forecasting sales of new and existing products using consumer reviews: A random projections approach," International Journal of Forecasting, Elsevier, vol. 32(2), pages 243-256.
    13. Xu, Zhenning & Frankwick, Gary L. & Ramirez, Edward, 2016. "Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective," Journal of Business Research, Elsevier, vol. 69(5), pages 1562-1566.
    14. Bernhardt, Kenneth L. & Donthu, Naveen & Kennett, Pamela A., 2000. "A Longitudinal Analysis of Satisfaction and Profitability," Journal of Business Research, Elsevier, vol. 47(2), pages 161-171, February.
    15. Edmans, Alex, 2011. "Does the stock market fully value intangibles? Employee satisfaction and equity prices," Journal of Financial Economics, Elsevier, vol. 101(3), pages 621-640, September.
    16. Darmon, Rene Y., 2004. "Controlling sales force turnover costs through optimal recruiting and training policies," European Journal of Operational Research, Elsevier, vol. 154(1), pages 291-303, April.
    17. Symitsi, Efthymia & Stamolampros, Panagiotis & Daskalakis, George, 2018. "Employees’ online reviews and equity prices," Economics Letters, Elsevier, vol. 162(C), pages 53-55.
    18. Corominas, Albert & Lusa, Amaia & Olivella, Jordi, 2012. "A detailed workforce planning model including non-linear dependence of capacity on the size of the staff and cash management," European Journal of Operational Research, Elsevier, vol. 216(2), pages 445-458.
    19. Bordoloi, Sanjeev K. & Matsuo, Hirofumi, 2001. "Human resource planning in knowledge-intensive operations: A model for learning with stochastic turnover," European Journal of Operational Research, Elsevier, vol. 130(1), pages 169-189, April.
    20. Wintoki, M. Babajide & Linck, James S. & Netter, Jeffry M., 2012. "Endogeneity and the dynamics of internal corporate governance," Journal of Financial Economics, Elsevier, vol. 105(3), pages 581-606.
    21. Mr. Marc G Quintyn & Ms. Rosaria Vega Pansini & Donato Masciandaro, 2011. "The Economic Crisis: Did Financial Supervision Matter?," IMF Working Papers 2011/261, International Monetary Fund.
    22. Song, Haiqing & Huang, Huei-Chuen, 2008. "A successive convex approximation method for multistage workforce capacity planning problem with turnover," European Journal of Operational Research, Elsevier, vol. 188(1), pages 29-48, July.
    23. Huang, Minjie & Li, Pingshu & Meschke, Felix & Guthrie, James P., 2015. "Family firms, employee satisfaction, and corporate performance," Journal of Corporate Finance, Elsevier, vol. 34(C), pages 108-127.
    24. Greg Filbeck & Dianna Preece, 2003. "Fortune’s Best 100 Companies to Work for in America: Do They Work for Shareholders?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(5‐6), pages 771-797, June.
    25. Mortenson, Michael J. & Doherty, Neil F. & Robinson, Stewart, 2015. "Operational research from Taylorism to Terabytes: A research agenda for the analytics age," European Journal of Operational Research, Elsevier, vol. 241(3), pages 583-595.
    26. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    27. Hailiang Chen & Prabuddha De & Yu (Jeffrey) Hu & Byoung-Hyoun Hwang, 2014. "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1367-1403.
    28. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
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    3. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    4. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
    5. Borchert, Philipp & Coussement, Kristof & De Weerdt, Jochen & De Caigny, Arno, 2024. "Industry-sensitive language modeling for business," European Journal of Operational Research, Elsevier, vol. 315(2), pages 691-702.

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