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Fear of Being Replaced by Robots and Turnover Intention: Evidence from the Chinese Manufacturing Industry

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Abstract

As China has become the largest user of industrial robots, the need to understand how workers perceive robot-human substitution and how their perceptions influence their job behaviors is becoming increasingly crucial. This paper examined whether workers’ fear of being replaced by robots (FRR) is correlated with one aspect of job behavior: turnover intention, which refers to the extent to which an individual intends to change their job within a specific time period. Using a dataset covering 1512 manufacturing workers in Guangdong province of China, we found that workers who fear losing their jobs to robots report significantly higher turnover intention. We also found that the positive effect of FRR on turnover intention increased when robots were already utilised in the workplace. This effect was also found to be increase when workers perceived that their wages did not increase with the rise in productivity due to robotisation. Based on these findings, we provide practical recommendations to organizations on effectively addressing the turnover intention arising from the FRR.

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The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Notes

  1. Hukou is the household registration system in mainland China. It indicates whether people live in an agricultural (rural hukou) or non-agricultural area (urban hukou). Previous research has suggested that migrant workers in urban areas with rural hukou generally have lower job embeddedness and higher turnover rate [55]. Thus, we controlled for the hukou variable in the regression analysis.

  2. In the manufacturing industry, micro-scale firms have fewer than 20 employees; small-scale firms have 20–299 employees; medium-scale firms have 300–999 employees; and large-scale firms have 1,000 or more employees [56].

References

  1. Brynjolfsson E, McAfee A (2014) The second machine age: work, progress, and prosperity in a time of brilliant technology. W.W. Norton & Company, New York

    Google Scholar 

  2. Ford M (2015) The rise of robots: technology and the threat of mass unemployment. Basic Books, New York

    Google Scholar 

  3. Berg A, Buffie EF, Zanna LF (2018) Should we fear the robot revolution?(The correct answer is yes). J Monet Econ 97:117–148. https://doi.org/10.1016/j.jmoneco.2018.05.014

    Article  Google Scholar 

  4. Frey CB, Osbrone MA (2016) The future of employment: how susceptible are jobs to computerisation? Technol Forecast Soc Change 114:254–280. https://doi.org/10.1016/j.techfore.2016.08.019

    Article  Google Scholar 

  5. Dekker F, Salomons A, van der Waal J (2017) Fear of robots at work: the role of economic self-interest. Socio-Econ Rev 15(3):539–562

    Google Scholar 

  6. Morikawa M (2017) Who are afraid of losing their jobs to artificial intelligence and robots? Evidence from a survey. GLO Discussion Paper No. 71, Global Labor Organization (GLO), Maastricht.

  7. Dodel M, Mesch G (2020) Perceptions about the impact of automation in the workplace. Info Commun Soc. https://doi.org/10.1080/1369118X.2020.1716043

    Article  Google Scholar 

  8. Ivanov S, Kuyumdzhiev M, Webster C (2020) Automation fears: drivers and solutions. Technol in Soc 63:101431. https://doi.org/10.1016/j.techsoc.2020.101431

    Article  Google Scholar 

  9. Kozak M, Kozak S, Kozakova A et al (2020) Is fear of robots stealing jobs haunting European workers? a multilevel study of automation insecurity in the EU. IFAC-Papers Online 53(2):17493–17498. https://doi.org/10.1016/j.ifacol.2020.12.2160

    Article  Google Scholar 

  10. McClure PK (2018) “You’re fired”, says the robot: the rise of automation in the workplace, technophobes, and fears of unemployment. Soc Sci Comput Rev 36(2):139–156. https://doi.org/10.1177/0894439317698637

    Article  Google Scholar 

  11. Schwabe H, Castellacci F (2020) Automation, workers’ skills and job satisfaction. PLoS ONE 15(11):e0242929. https://doi.org/10.1371/journal.pone.0242929

    Article  Google Scholar 

  12. International Federation of Robotics (IFR), World robotics 2021. https://ifr.org/img/worldrobotics/Executive_Summary_WR_Industrial_Robots_2021.pdf, 2021. Accessed 28 July 2022

  13. Sousa-Poza A, Henneberger F (2004) Analyzing job mobility with job turnover intentions: an international comparative study. J Econ Issues 38(1):113–137

    Article  Google Scholar 

  14. Bedeian AG, Kemery ER, Pizzolatto AB (1991) Career commitment and expected utility of present job as predictors of turnover intentions and turnover behavior. J Vocat Behav 39:331–343

    Article  Google Scholar 

  15. Griffeth RW, Hom PW, Gaertner S (2000) A meta-analysis of antecedents and correlates of employee turnover. J Manag 26(3):463–488

    Google Scholar 

  16. Addae HM, Parboteeah KP, Davis EE (2006) Organizational commitment and intentions to quit: an examination of the moderating effects of psychological contract breach in trinidad and tobago. Int J Organ Anal 14(3):225–238

    Article  Google Scholar 

  17. Hom P, Griffeth R (1991) Structural equations modeling test of a turnover theory: cross-sectional and longitudinal analyses. J Appl Psychol 76:350–366

    Article  Google Scholar 

  18. Tett RP, Meyer JP (1993) Job satisfaction, organizational commitment, turnover intention, and turnover: path analyses based on meta-analytic findings. Pers Psychol 46(2):259–293

    Article  Google Scholar 

  19. Allen DG, Bryant PC, Vardaman JN (2010) Retaining talent: replacing misconceptions with evidence-based strategies. Acad Manag Perspect 24(2):48–64

    Google Scholar 

  20. Rein S (2010) China’s growing labor shortage. Shanghai: Forbes.

  21. CEES Research Team (2017) How are Chinese manufacturing firms coping with rising labor costs? a report of China’s employer-employee survey (2015–2016). J Mac-Qual Res 5(2):1–21 ([in Chinese])

    Google Scholar 

  22. Silva JI, Toledo M (2009) Labor turnover costs and the cyclical behavior of vacancies and unemployment. Macroecon Dyn 13(S1):76–96

    Article  Google Scholar 

  23. Moon WK, Kahlor LA, Olson HC (2020) Understanding public support for carbon capture and storage policy: the roles of social capital, stakeholder perceptions, and perceived risk/benefit of technology. Energy Policy 139:111312

    Article  Google Scholar 

  24. Sinclair RR, Probst TM, Watson GP et al (2021) Caught between scylla and charybdis: how economic stressors and occupational risk factors influence workers’ occupational health reactions to COVID-19. Appl Psychol 70(1):85–119

    Article  Google Scholar 

  25. Greenhalgh L, Rosenblatt Z (1984) Job insecurity: toward conceptual clarity. Acad Manage Rev 9(3):438–448

    Article  Google Scholar 

  26. Sverke M, Hellgren J, Näswall K (2002) No security: a meta-analysis and review of job insecurity and its consequences. J Occup Health Psychol 7(3):242–264

    Article  Google Scholar 

  27. Gallie D, Felstead A, Green F et al (2017) The hidden face of job insecurity. Work Employ Soc 31(1):36–53

    Article  Google Scholar 

  28. Nam T (2018) Technology usage, expected job sustainability, and perceived job insecurity. Technol Forecast Soc Chang 138:155–165

    Article  Google Scholar 

  29. Erebak S, Turgut T (2021) Anxiety about the speed of technological development: effects on job insecurity, time estimation, and automation level preference. J High Techno Manage Res 32:100419

    Article  Google Scholar 

  30. Green F, Felstead A, Burchell B (2000) Job insecurity and the difficulty of regaining employment: an empirical study of unemployment expectations. Oxf Bull Econ Stat 62:855–883

    Article  Google Scholar 

  31. Dekker SWA, Schaufeli WB (1995) The effects of job insecurity on psychological health and withdrawal: a longitudinal study. Aust Psychol 30(1):57–63

    Article  Google Scholar 

  32. Cheng GHL, Chan DKS (2008) Who suffers more from job insecurity? a meta- analytic review. Appl Psychol: Int Rev 57(2):272–303

    Article  MathSciNet  Google Scholar 

  33. Balz A, Schuller K (2021) Always looking for something better? the impact of job insecurity on turnover intentions: do employables and irreplaceables react differently? Eco Ind Democr 42(1):142–159

    Article  Google Scholar 

  34. Hulin CL (1991). Adaptation, persistence, and commitment in organizations. In: Dunnette M & Hough LM (eds.) Handbook of industrial and organizational psychology: Vol. 2, 2nd edn. Palo Alto, CA: Consulting Psychologists Press, pp. 445–505.

  35. Davy JA, Kinicki AJ, Scheck CL (1997) A test of job insecurity’s direct and mediated effects on withdrawal cognitions. J Organ Behav 18:323–349

    Article  Google Scholar 

  36. Probst TM (2002) The impact of job insecurity on employee work attitudes, job adaptation, and organizational withdrawal behaviors. In: Brett JM, Drasgow F (eds) The psychology of work: Theoretically based empirical research. Lawrence Erlbaum Associates, Mahwah, NJ, pp 141–168

    Google Scholar 

  37. Brougham D, Haar J (2018) Smart technology, artificial intelligence, robotics, and algorithms (STARA): employees’ perceptions of our future workplace. J Manage Organ 24(2):239–257

    Article  Google Scholar 

  38. Li J, Bonn MA, Ye BH (2019) Hotel employee’s artificial intelligence and robotics awareness and its impact on turnover intention: the moderating roles of perceived organizational support and competitive psychological climate. Tour Manage 73:172–181

    Article  Google Scholar 

  39. Khaliq A, Waqas A, Nisar QA, Haider S, Asghar Z (2022) Application of AI and robotics in hospitality sector: a resource gain and resource loss perspective. Technol Soc 68:101807. https://doi.org/10.1016/j.techsoc.2021.101807

    Article  Google Scholar 

  40. Lommerud KE, Meland F, Straume OR (2006) Globalisation and union opposition to technological change. J Int Econ 68:1–23

    Article  Google Scholar 

  41. Chen F (2016) China’s road to the construction of labor rights. J Sociol 52(1):24–38

    Article  Google Scholar 

  42. Kroneberg C, Kalter F (2012) Rational choice theory and empirical research: methodological and theoretical contributions in Europe. Annu Rev Sociol 38:73–92

    Article  Google Scholar 

  43. Fitz-Enz J, Davidson B (2002) How to measure human resource management, 3rd edn. McGraw-Hill, New York

    Google Scholar 

  44. Felps W, Mitchell TR, Hekman DR et al (2009) Turnover contagion: how coworkers’ job embeddedness and job search behaviors influence quitting. Acad Manage J 52(3):545–561

    Article  Google Scholar 

  45. Vardaman JM, Allen DG, Renn RW et al (2008) Should I stay or should I go? the role of risk in employee turnover decisions. Hum Relat 61(11):1531–1563

    Article  Google Scholar 

  46. Huang Y, Sharf N (2017) From ‘labour dividend’ to ‘robot dividend’: technological change and workers’ power in South China. Agrarian South: J Polit Econom 6(1):53–78

    Google Scholar 

  47. Cheng H, Chen WJ, Li T (2018) Robots in China: status, future and impact: empirical evidence from the China employer-employee survey (CEES). J Mac- Qual Res 6(3):1–21 ([in Chinese])

    Google Scholar 

  48. Slovic P (1987) Perception of risk. Science 236(4799):280–285

    Article  Google Scholar 

  49. Nahm AY, Lauver KJ, Keyes JP (2012) The role of workers’ trust and perceived benefits in lean implementation success. Int J Bus Excell 5(5):463–484

    Article  Google Scholar 

  50. Kristal T (2013) The capitalist machine: computerization, workers’ power, and the decline in labor’s share within US industries. Am Sociol Rev 78(3):361–389

    Article  Google Scholar 

  51. Freeman RB (2015) Who owns the robots rules the world. IZA World of Labor 5.

  52. Klein K (1987) Employee stock ownership and employee attitudes: a test of three models. J Appl Psychol 72(2):319–332

    Article  Google Scholar 

  53. Kruse DL (1992) Profit sharing and productivity: microeconomic evidence from the United States. Econ J 102(410):24–36

    Article  Google Scholar 

  54. Freeman RB, Blasi JR, Kruse DL (2010) Introduction. In: Kruse DL, Freeman RB, Blasi JR (eds) Shared capitalism at work: employee ownership, profit and gain sharing, and broad-based stock options. University of Chicago Press, Chicago, pp 1–37

    Google Scholar 

  55. Sun Z, Yang X (2012) Disembedded employment relationship and turnover intention of peasant-workers: based on a survey of peasant-workers in the Yangtze River Delta and Pearl River Delta. Chinese J Sociol 32(3):98–128 ([in Chinese])

    Google Scholar 

  56. The National Statistical Bureau of China. 2017. Statistical division of large, medium, small and micro enterprises. http://www.stats.gov.cn/tjsj/tjbz/201801/t20180103_1569357.html. Accessed 3 April 2022. [in Chinese]

  57. Zhang GJ, Zhang D (2019) The heterogenous effect of ‘machines replacing human’ on workers’ wages: based on the China’s experience. Acad Forum 5:18–25 ([in Chinese])

    Google Scholar 

  58. Tseo GKY, Hou GS, Zhang PZ et al (2004) Employee ownership and profit sharing as positive factors in the reform of Chinese state-owned enterprises. Econ Ind Democr 25(1):147–177

    Article  Google Scholar 

  59. Gallagher ME (2017) Authoritarian legality in China: law, workers, and the state. Cambridge University Press, New York

    Book  Google Scholar 

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Funding

The Funding was provided by National Social Science Fund of China, Grant Number 19CSH045, Yunxue Deng

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The studies involving human participants were reviewed and approved by the Research Ethics Committee of the East China University of Science and Technology. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

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Sun, Z., Deng, Y. Fear of Being Replaced by Robots and Turnover Intention: Evidence from the Chinese Manufacturing Industry. Int J of Soc Robotics 16, 711–723 (2024). https://doi.org/10.1007/s12369-024-01123-3

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