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Future of work and employee empowerment and satisfaction: Evidence from a decade of technological change

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  • Makridis, Christos A.
  • Han, Joo Hun

Abstract

Increasing evidence suggests that technological change will significantly affect interactions in the workplace. Even if technological change displaces some jobs, it may have positive effects among the employees’ who remain employed and subsequent new hires. We introduce a new measure of technological change at the county-level using the growth in the stock of intellectual property (IP) across industries. Using new individual-level data between 2008 and 2018 from Gallup, we quantify the effects of technological change on employee empowerment and well-being. Our results suggest that technological change is associated with positive effects on employee empowerment and life satisfaction. The results are strongest in workplaces with trust and more directive managers, suggesting that structured management may be help mediate the emergence of AI and automation.

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  • Makridis, Christos A. & Han, Joo Hun, 2021. "Future of work and employee empowerment and satisfaction: Evidence from a decade of technological change," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    • Handle: RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005953
    DOI: 10.1016/j.techfore.2021.121162
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    as
    1. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    2. Raja Roy & MB Sarkar, 2016. "Knowledge, firm boundaries, and innovation: Mitigating the incumbent's curse during radical technological change," Strategic Management Journal, Wiley Blackwell, vol. 37(5), pages 835-854, May.
    3. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    4. Gault, Fred, 2018. "Defining and measuring innovation in all sectors of the economy," Research Policy, Elsevier, vol. 47(3), pages 617-622.
    5. Joseph E. Stiglitz, 1974. "Alternative Theories of Wage Determination and Unemployment in LDC's: The Labor Turnover Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 88(2), pages 194-227.
    6. Alva Taylor & Constance E. Helfat, 2009. "Organizational Linkages for Surviving Technological Change: Complementary Assets, Middle Management, and Ambidexterity," Organization Science, INFORMS, vol. 20(4), pages 718-739, August.
    7. Angus Deaton, 2012. "The financial crisis and the well-being of Americans," Oxford Economic Papers, Oxford University Press, vol. 64(1), pages 1-26, January.
    8. Carol Corrado & John Haltiwanger & Daniel Sichel, 2005. "Measuring Capital in the New Economy," NBER Books, National Bureau of Economic Research, Inc, number corr05-1.
    9. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    10. Richard S. Rosenbloom, 2000. "Leadership, Capabilities, and Technological Change: The Transformation of NCR in the Electronic Era," Strategic Management Journal, Wiley Blackwell, vol. 21(10‐11), pages 1083-1103, October.
    11. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    12. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    13. Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2020. "Bartik Instruments: What, When, Why, and How," American Economic Review, American Economic Association, vol. 110(8), pages 2586-2624, August.
    14. Ellen R. McGrattan & Edward C. Prescott, 2010. "Unmeasured Investment and the Puzzling US Boom in the 1990s," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 88-123, October.
    15. Carol Corrado & John Haltiwanger & Daniel Sichel, 2005. "Introduction to "Measuring Capital in the New Economy"," NBER Chapters, in: Measuring Capital in the New Economy, pages 1-10, National Bureau of Economic Research, Inc.
    16. Ellen R. McGrattan & Edward C. Prescott, 2014. "A Reassessment of Real Business Cycle Theory," American Economic Review, American Economic Association, vol. 104(5), pages 177-182, May.
    17. Ufuk Akcigit & Murat Alp Celik & Jeremy Greenwood, 2016. "Buy, Keep, or Sell: Economic Growth and the Market for Ideas," Econometrica, Econometric Society, vol. 84, pages 943-984, May.
    18. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    19. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    20. Gallipoli, Giovanni & Makridis, Christos A., 2018. "Structural transformation and the rise of information technology," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 91-110.
    21. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    22. Martin Ganco & Cameron D. Miller & Puay Khoon Toh, 2020. "From litigation to innovation: Firms' ability to litigate and technological diversification through human capital," Strategic Management Journal, Wiley Blackwell, vol. 41(13), pages 2436-2473, December.
    23. Natalya Vinokurova & Rahul Kapoor, 2020. "Converting inventions into innovations in large firms: How inventors at Xerox navigated the innovation process to commercialize their ideas," Strategic Management Journal, Wiley Blackwell, vol. 41(13), pages 2372-2399, December.
    24. Raffaele Oriani & Maurizio Sobrero, 2008. "Uncertainty and the market valuation of R&D within a real options logic," Strategic Management Journal, Wiley Blackwell, vol. 29(4), pages 343-361, April.
    25. Erik Brynjolfsson & John J. Horton & Adam Ozimek & Daniel Rock & Garima Sharma & Hong-Yi TuYe, 2020. "COVID-19 and Remote Work: An Early Look at US Data," NBER Working Papers 27344, National Bureau of Economic Research, Inc.
    26. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    27. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    28. Carmen Weigelt & MB Sarkar, 2012. "Performance implications of outsourcing for technological innovations: managing the efficiency and adaptability trade‐off," Strategic Management Journal, Wiley Blackwell, vol. 33(2), pages 189-216, February.
    29. Morgan R. Frank & David Autor & James E. Bessen & Erik Brynjolfsson & Manuel Cebrian & David J. Deming & Maryann Feldman & Matthew Groh & José Lobo & Esteban Moro & Dashun Wang & Hyejin Youn & Iyad Ra, 2019. "Toward understanding the impact of artificial intelligence on labor," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(14), pages 6531-6539, April.
    30. Schoenmakers, Wilfred & Duysters, Geert, 2010. "The technological origins of radical inventions," Research Policy, Elsevier, vol. 39(8), pages 1051-1059, October.
    31. Michael S. Dahl, 2011. "Organizational Change and Employee Stress," Management Science, INFORMS, vol. 57(2), pages 240-256, February.
    32. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    33. Antonelli, Cristiano & Feder, Christophe, 2020. "The new direction of technological change in the global economy," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 1-12.
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