|
Ashforth, B. E., & Fried, Y. (1988). The mindlessness of organizational behaviors. Human Relations, 41(4), 305–329. https://doi.org/10.1177/001872678804100403
Auzoult, L., & Ngueutsa, R. (2019). Attitude to safety rules and reflexivity as determinants of safety climate. Journal of Safety Research, 71, 95–102. https://doi.org/10.1016/j.jsr.2019.09.016
Bailey, D., Faraj, S., Hinds, P., von Krogh, G., & Leonardi, P. (2019). Special Issue of Organization Science: Emerging technologies and organizing. Organization Science, 30(3), 642–646. https://doi.org/10.1287/orsc.2019.1299
Ballestar, M. T., Díaz-Chao, Á., Sainz, J., & Torrent-Sellens, J. (2020). Knowledge, robots and productivity in SMEs: Explaining the second digital wave. Journal of Business Research, 108, 119–131. https://doi.org/10.1016/j.jbusres.2019.11.017
Baranik, L. E., Wang, M., Gong, Y., & Shi, J. (2017). Customer mistreatment, employee health, and job performance: Cognitive rumination and social sharing as mediating mechanisms. Journal of Management, 43(4), 1261–1282. https://doi.org/10.1177/0149206314550995
Bartneck, C., Belpaeme, T., Eyssel, F., Kanda, T., Keijsers, M., & Šabanović, S. (2020). Human-robot interaction: An introduction. Cambridge University Press.
Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of General Psychology, 5(4), 323–370. https://doi.org/10.1037/1089-2680.5.4.323
Beal, D. J., & Trougakos, J. P. (2012). Episodic intrapersonal emotion regulation: Or, dealing with life as it happens. In Emotional labor in the 21st Century. Routledge.
Becker, T. E. (2005). Potential problems in the statistical control of variables in organizational research: A qualitative analysis with recommendations. Organizational Research Methods, 8(3), 274–289. https://doi.org/10.1177/1094428105278021
Bragança, S., Costa, E., Castellucci, I., & Arezes, P. M. (2019). A brief overview of the use of collaborative robots in Industry 4.0: Human role and safety. In P. M. Arezes, J. S. Baptista, M. P. Barroso, P. Carneiro, P. Cordeiro, N. Costa, R. B. Melo, A. S. Miguel, & G. Perestrelo (Eds.), Occupational and environmental safety and health (pp. 641–650). Springer International Publishing. https://doi.org/10.1007/978-3-030-14730-3_68
Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 185–216. https://doi.org/10.1177/135910457000100301
Brito, T., Queiroz, J., Piardi, L., Fernandes, L. A., Lima, J., & Leitão, P. (2020). A machine learning approach for collaborative robot smart manufacturing inspection for quality control systems. Procedia Manufacturing, 51, 11–18. https://doi.org/10.1016/j.promfg.2020.10.003
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Brynjolfsson, E., Mitchell, T., & Rock, D. (2018). What can machines learn, and what does it mean for occupations and the economy? AEA Papers and Proceedings, 108, 43–47. https://doi.org/10.1257/pandp.20181019
Burch, K. A., & Barnes-Farrell, J. L. (2020). When work is your passenger: Understanding the relationship between work and commuting safety behaviors. Journal of Occupational Health Psychology, 25(4), 259–274. https://doi.org/10.1037/ocp0000176
Business Insider. (2016). Meet the smart robots joining the workforce. Business Insider. Retrieved from https://www.businessinsider.com/sc/robots-will-change-manufacturing
Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116–131. https://doi.org/10.1037/0022-3514.42.1.116
Cacioppo, J. T., Petty, R. E., Feinstein, J. A., & Jarvis, W. B. G. (1996). Dispositional differences in cognitive motivation: The life and times of individuals varying in need for cognition. Psychological Bulletin, 119(2), 197–253. https://doi.org/10.1037/0033-2909.119.2.197
Campa, R. (2016). The rise of social robots: A review of the recent literature. Journal of Ethics and Emerging Technologies, 26(1), 106–113.
Carmichael, M. G., Aldini, S., Khonasty, R., Tran, A., Reeks, C., Liu, D., Waldron, K. J., & Dissanayake, G. (2019). The ANBOT: An intelligent robotic co-worker for industrial abrasive blasting. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 8026–8033. https://doi.org/10.1109/IROS40897.2019.8967993
Center for Disease Control and Prevention. (n.d.). Robotics and workplace safety. https://www.cdc.gov/niosh/newsroom/feature/robotics-workplace-safety.html
Chatman, J. A., & Flynn, F. J. (2005). Full-cycle micro-organizational behavior research. Organization Science, 16(4), 434–447. https://doi.org/10.1287/orsc.1050.0136
Chen, M., Chen, L., Yan, X.-M., Yu, Z., Fang, Y.-Y., & Yu, Y.-Q. (2018). Investigating the nonlinear effect of ego depletion on safety compliance: The moderating role of rumination. Journal of Safety Research, 67, 27–35. https://doi.org/10.1016/j.jsr.2018.09.005
Chitty, N. (2018). Artificial intelligence, communication and human contentment. Journal of Content, Community and Communication, 7(Year 4)), v.
Clocksin, W. F. (2003). Artificial intelligence and the future. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 361(1809), 1721–1748. https://doi.org/10.1098/rsta.2003.1232
Cockshott, P., & Renaud, K. (2016). Humans, robots and values. Technology in Society, 45, 19–28. https://doi.org/10.1016/j.techsoc.2016.01.002
Cohen, A. R., Stotland, E., & Wolfe, D. M. (1955). An experimental investigation of need for cognition. The Journal of Abnormal and Social Psychology, 51(2), 291–294. https://doi.org/10.1037/h0042761
Colbert, A., Yee, N., & George, G. (2016). The digital workforce and the workplace of the future. Academy of Management Journal, 59(3), 731–739. https://doi.org/10.5465/amj.2016.4003
D’Agostino, P. R., & Fincher-Kiefer, R. (1992). Need for cognition and the correspondence bias. Social Cognition, 10(2), 151–163. https://doi.org/10.1521/soco.1992.10.2.151
Davenport, T. H., & Miller, S. (2021). Working with smart machines: Insights on the future of work. Asian Management Insights, 8(1), 18–25.
Day, E. A., Espejo, J., Kowollik, V., Boatman, P. R., & McEntire, L. E. (2007). Modeling the links between need for cognition and the acquisition of a complex skill. Personality and Individual Differences, 42(2), 201–212. https://doi.org/10.1016/j.paid.2006.06.012
De Dreu, C. K. W. (2007). Cooperative outcome interdependence, task reflexivity, and team effectiveness: A motivated information processing perspective. Journal of Applied Psychology, 92(3), 628–638. https://doi.org/10.1037/0021-9010.92.3.628
De Jong, B. A., & Elfring, T. (2010). How does trust affect the performance of ongoing teams? The mediating role of reflexivity, monitoring, and effort. Academy of Management Journal, 53(3), 535–549. https://doi.org/10.5465/amj.2010.51468649
Demir, K. A., Döven, G., & Sezen, B. (2019). Industry 5.0 and human-robot co-working. Procedia Computer Science, 158, 688–695. https://doi.org/10.1016/j.procs.2019.09.104
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
El Makrini, I., Elprama, S. A., Van den Bergh, J., Vanderborght, B., Knevels, A.-J., Jewell, C. I. C., Stals, F., De Coppel, G., Ravyse, I., Potargent, J., Berte, J., Diericx, B., Waegeman, T., & Jacobs, A. (2018). Working with Walt: How a cobot was developed and inserted on an auto assembly line. IEEE Robotics Automation Magazine, 25(2), 51–58. https://doi.org/10.1109/mra.2018.2815947
Evjemo, L. D., Gjerstad, T., Grøtli, E. I., & Sziebig, G. (2020). Trends in smart manufacturing: role of humans and industrial robots in smart factories. Current Robotics Reports, 1(2), 35–41. https://doi.org/10.1007/s43154-020-00006-5
Fernandez, G. C., Gutierrez, S. M., Ruiz, E. S., Perez, F. M., & Gil, M. C. (2012). Robotics, the new industrial revolution. IEEE Technology and Society Magazine, 31(2), 51–58. https://doi.org/10.1109/mts.2012.2196595
Ferris, D. L., Brown, D. J., Lian, H., & Keeping, L. M. (2009). When does self-esteem relate to deviant behavior? The role of contingencies of self-worth. Journal of Applied Psychology, 94(5), 1345. https://psycnet.apa.org/doi/10.1037/a0016115
Fletcher, S. R., & Webb, P. (2017). Industrial robot ethics: The challenges of closer human collaboration in future manufacturing systems. In A World with Robots (pp. 159–169). Springer.
Fong, T., & Nourbakhsh, I. (2005). Interaction challenges in human-robot space exploration. Interactions, 12(2), 42–45.
Frieder, R. E., Wang, G., & Oh, I.-S. (2018). Linking job-relevant personality traits, transformational leadership, and job performance via perceived meaningfulness at work: A moderated mediation model. Journal of Applied Psychology, 103(3), 324–333. https://doi.org/10.1037/apl0000274
Gabriel, A. S., Lanaj, K., & Jennings, R. E. (2021). Is one the loneliest number? A within-person examination of the adaptive and maladaptive consequences of leader loneliness at work. Journal of Applied Psychology, 106(10), 1517–1538. https://doi.org/10.1037/apl0000838
Gabriel, A. S., MacGowan, R. L., Ganster, M. L., & Slaughter, J. E. (2021). The influence of COVID-induced job search anxiety and conspiracy beliefs on job search effort: A within-person investigation. Journal of Applied Psychology, 106(5), 657–673. https://doi.org/10.1037/apl0000926
Gleirscher, M., Calinescu, R., Douthwaite, J., Lesage, B., Paterson, C., Aitken, J., Alexander, R., & Law, J. (2022). Verified synthesis of optimal safety controllers for human-robot collaboration. Science of Computer Programming, 218, 102809. https://doi.org/10.1016/j.scico.2022.102809
Graetz, G., & Michaels, G. (2018). Robots at work. The Review of Economics and Statistics, 100(5), 753–768. https://doi.org/10.1162/rest_a_00754
Gray, K., & Wegner, D. M. (2012). Feeling robots and human zombies: Mind perception and the uncanny valley. Cognition, 125(1), 125–130. https://doi.org/10.1016/j.cognition.2012.06.007
Gregory, R. W., Henfridsson, O., Kaganer, E., & Kyriakou, H. (2020). The role of artificial intelligence and data network effects for creating user value. Academy of Management Review. https://doi.org/10.5465/amr.2019.0178
Harrington, R., & Loffredo, D. A. (2010). Insight, rumination, and self-reflection as predictors of well-being. The Journal of Psychology, 145(1), 39–57. https://doi.org/10.1080/00223980.2010.528072
Heikkilä, S. (2020). Circular value creation in DMR/MSW waste management ecosystem via smart robots. https://lutpub.lut.fi/handle/10024/161581
Hoffman, G., & Breazeal, C. (2004). Collaboration in human-robot teams. In AIAA 1st Intelligent Systems Technical Conference. American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2004-6434
Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172. https://doi.org/10.1177/1094670517752459
International Federation of Robotics. (2017). Executive summary world robotics 2017 industrial robots. https://ifr.org/downloads/press/executive_summary_wr_2017_industrial_robots.pdf
Johnson, R. E., Chang, C.-H., & Lord, R. G. (2006). Moving from cognition to behavior: What the research says. Psychological Bulletin, 132(3), 381–415. https://doi.org/10.1037/0033-2909.132.3.381
Josten, C., & Lordan, G. (2020). Robots at work: Automatable and non-automatable jobs. Springer.
Kearney, E., Gebert, D., & Voelpel, S. C. (2009). When and how diversity benefits teams: The importance of team members’ need for cognition. Academy of Management Journal, 52(3), 581–598. https://doi.org/10.5465/amj.2009.41331431
Körner, U., Müller-Thur, K., Lunau, T., Dragano, N., Angerer, P., & Buchner, A. (2019). Perceived stress in human–machine interaction in modern manufacturing environments—Results of a qualitative interview study. Stress and Health, 35(2), 187–199. https://doi.org/10.1002/smi.2853
Kroencke, L., Geukes, K., Utesch, T., Kuper, N., & Back, M. D. (2020). Neuroticism and emotional risk during the COVID-19 pandemic. Journal of Research in Personality, 89, 104038. https://doi.org/10.1016/j.jrp.2020.104038
Lee, K. M., Jung, Y., Kim, J., & Kim, S. R. (2006). Are physically embodied social agents better than disembodied social agents?: The effects of physical embodiment, tactile interaction, and people’s loneliness in human–robot interaction. International Journal of Human-Computer Studies, 64(10), 962–973. https://doi.org/10.1016/j.ijhcs.2006.05.002
Liao, Z., Lee, H. W., Johnson, R. E., Song, Z., & Liu, Y. (2021). Seeing from a short-term perspective: When and why daily abusive supervisor behavior yields functional and dysfunctional consequences. Journal of Applied Psychology, 106(3), 377–398. https://doi.org/10.1037/apl0000508
Liu, X., Huang, G., Huang, H., Wang, S., Xiao, Y., & Chen, W. (2015). Safety climate, safety behavior, and worker injuries in the Chinese manufacturing industry. Safety Science, 78, 173–178. https://doi.org/10.1016/j.ssci.2015.04.023
Martin, L. L., & Tesser, A. (1996). Some ruminative thoughts. In Ruminative thoughts (pp. 1–47). Lawrence Erlbaum Associates, Inc.
Martin, L. L., Tesser, A., & McIntosh, W. D. (1993). Wanting but not having: The effects of unattained goals on thoughts and feelings. In Handbook of mental control (pp. 552–572). Prentice-Hall, Inc.
Maurtua, I., Ibarguren, A., Kildal, J., Susperregi, L., & Sierra, B. (2017). Human–robot collaboration in industrial applications: Safety, interaction and trust. International Journal of Advanced Robotic Systems, 14(4), 1729881417716010. https://doi.org/10.1177/1729881417716010
McCullough, M. E., Bono, G., & Root, L. M. (2007). Rumination, emotion, and forgiveness: Three longitudinal studies. Journal of Personality and Social Psychology, 92(3), 490–505. https://doi.org/10.1037/0022-3514.92.3.490
McEvoy, P. M., Mahoney, A. E. J., & Moulds, M. L. (2010). Are worry, rumination, and post-event processing one and the same?: Development of the repetitive thinking questionnaire. Journal of Anxiety Disorders, 24(5), 509–519. https://doi.org/10.1016/j.janxdis.2010.03.008
Miller, A. (2019). The intrinsically linked future for human and Artificial Intelligence interaction. Journal of Big Data, 6(1), 38. https://doi.org/10.1186/s40537-019-0202-7
Mirnig, N., Riegler, S., Weiss, A., & Tscheligi, M. (2011). A case study on the effect of feedback on itinerary requests in human-robot interaction. 2011 RO-MAN, 343–349. https://doi.org/10.1109/roman.2011.6005260
Mühlhoff, R. (2020). Human-aided artificial intelligence: Or, how to run large computations in human brains? Toward a media sociology of machine learning. New Media & Society, 22(10), 1868–1884. https://doi.org/10.1177/1461444819885334
Muris, P., Roelofs, J., Rassin, E., Franken, I., & Mayer, B. (2005). Mediating effects of rumination and worry on the links between neuroticism, anxiety and depression. Personality and Individual Differences, 39(6), 1105–1111. https://doi.org/10.1016/j.paid.2005.04.005
Muthén, L. K., & Muthén, B. O. (2015). Mplus Version 7.4 Software. Los Angeles, CA: Muthén & Muthén.
Muthén, B. O., & Satorra, A. (1995). Complex sample data in Structural Equation Modeling. Sociological Methodology, 25, 267–316. https://doi.org/10.2307/271070
Neal, A., & Griffin, M. A. (2006). A study of the lagged relationships among safety climate, safety motivation, safety behavior, and accidents at the individual and group levels. Journal of Applied Psychology, 91(4), 946–953. https://doi.org/10.1037/0021-9010.91.4.946
Nicora, M. L., Ambrosetti, R., Wiens, G. J., & Fassi, I. (2021). Human–robot collaboration in smart manufacturing: robot reactive behavior intelligence. Journal of Manufacturing Science and Engineering, 143(3). https://doi.org/10.1115/1.4048950
Nolan, S. A., Roberts, J. E., & Gotlib, I. H. (1998). Neuroticism and ruminative response style as predictors of change in depressive symptomatology. Cognitive Therapy and Research, 22(5), 445–455. https://doi.org/10.1023/A:1018769531641
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3(5), 400–424.
Nyholm, S., & Smids, J. (2020). Can a robot be a good colleague? Science and Engineering Ethics, 26(4), 2169–2188. https://doi.org/10.1007/s11948-019-00172-6
Olson, K., Camp, C., & Fuller, D. (1984). Curiosity and need for cognition. Psychological Reports, 54(1), 71–74. https://doi.org/10.2466/pr0.1984.54.1.71
Pentzold, C., & Bischof, A. (2019). Making affordances real: Socio-material prefiguration, performed agency, and coordinated activities in human–robot communication. Social Media + Society, 5(3), 2056305119865472. https://doi.org/10.1177/2056305119865472
Perzylo, A., Rickert, M., Kahl, B., Somani, N., Lehmann, C., Kuss, A., Profanter, S., Beck, A. B., Haage, M., Rath Hansen, M., Nibe, M. T., Roa, M. A., Sörnmo, O., Gestegård Robertz, S., Thomas, U., Veiga, G., Topp, E. A., Kessler, I., & Danzer, M. (2019). SMErobotics: Smart robots for flexible manufacturing. IEEE Robotics Automation Magazine, 26(1), 78–90. https://doi.org/10.1109/mra.2018.2879747
Petty, R. E., Brinol, P., Loersch, C., & McCaslin, M. J. (2009). The need for cognition. In Handbook of individual differences in social behavior (pp. 318–329). The Guilford Press.
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569. https://doi.org/10.1146/annurev-psych-120710-100452
Preacher, K. J., Zyphur, M. J., & Zhang, Z. (2010). A general multilevel SEM framework for assessing multilevel mediation. Psychological Methods, 15(3), 209–233. https://doi.org/10.1037/a0020141
Querstret, D., & Cropley, M. (2012). Exploring the relationship between work-related rumination, sleep quality, and work-related fatigue. Journal of Occupational Health Psychology, 17(3), 341–353. https://doi.org/10.1037/a0028552
Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
Realyvásquez-Vargas, A., Cecilia Arredondo-Soto, K., Luis García-Alcaraz, J., Yail Márquez-Lobato, B., & Cruz-García, J. (2019). Introduction and configuration of a collaborative robot in an assembly task as a means to decrease occupational risks and increase efficiency in a manufacturing company. Robotics and Computer-Integrated Manufacturing, 57, 315–328. https://doi.org/10.1016/j.rcim.2018.12.015
Reese, B. (2018). The Fourth Age: Smart robots, conscious computers, and the future of humanity. Simon and Schuster.
Roberts, J. E., Gilboa, E., & Gotlib, I. H. (1998). Ruminative response style and vulnerability to episodes of dysphoria: Gender, neuroticism, and episode duration. Cognitive Therapy and Research, 22(4), 401–423. https://doi.org/10.1023/A:1018713313894
Riemer, J. W. (1976). “Mistakes at Work” the Social Organization of Error in Building
Construction Work. Social Problems, 23(3), 255-267
Sadowski, C. J., & Cogburn, H. E. (1997). Need for cognition in the Big-Five factor structure. The Journal of Psychology, 131(3), 307–312. https://doi.org/10.1080/00223989709603517
Saucier, G. (1994). Mini-Markers: A brief version of Goldberg’s unipolar big-five markers. Journal of Personality Assessment, 63(3), 506–516. https://doi.org/10.1207/s15327752jpa6303_8
Schippers, M. C., Homan, A. C., & van Knippenberg, D. (2013). To reflect or not to reflect: Prior team performance as a boundary condition of the effects of reflexivity on learning and final team performance. Journal of Organizational Behavior, 34(1), 6–23. https://doi.org/10.1002/job.1784
Schwab, K. (2017). The Fourth Industrial Revolution. Crown.
Segerstrom, S. C., Stanton, A. L., Alden, L. E., & Shortridge, B. E. (2003). A multidimensional structure for repetitive thought: What’s on your mind, and how, and how much? Journal of Personality and Social Psychology, 85(5), 909–921. https://doi.org/10.1037/0022-3514.85.5.909
Selig, J. P., & Preacher, K. J. (2008). Monte Carlo method for assessing mediation: An interactive tool for creating confidence intervals for indirect effects [Computer software].
Sheridan, T. B. (2016). Human–robot interaction: Status and challenges. Human Factors, 58(4), 525–532. https://doi.org/10.1177/0018720816644364
Shestowsky, D., Wegener, D. T., & Fabrigar, L. R. (1998). Need for cognition and interpersonal influence: Individual differences in impact on dyadic decisions. Journal of Personality and Social Psychology, 74(5), 1317–1328. https://doi.org/10.1037/0022-3514.74.5.1317
Shi, J., Johnson, R. E., Liu, Y., & Wang, M. (2013). Linking subordinate political skill to supervisor dependence and reward recommendations: A moderated mediation model. Journal of Applied Psychology, 98(2), 374–384. https://doi.org/10.1037/a0031129
Smids, J., Nyholm, S., & Berkers, H. (2020). Robots in the workplace: A threat to—or opportunity for—meaningful work? Philosophy & Technology, 33(3), 503–522. https://doi.org/10.1007/s13347-019-00377-4
Solnet, D., Subramony, M., Ford, R. C., Golubovskaya, M., Kang, H. J. (Annette), & Hancer, M. (2019). Leveraging human touch in service interactions: Lessons from hospitality. Journal of Service Management, 30(3), 392–409. https://doi.org/10.1108/josm-12-2018-0380
Song, Y., Liu, Y., Wang, M., Lanaj, K., Johnson, R. E., & Shi, J. (2018). A social mindfulness approach to understanding experienced customer mistreatment: A within-person field experiment. Academy of Management Journal, 61(3), 994–1020. https://doi.org/10.5465/amj.2016.0448
Syrdal, D. S., Dautenhahn, K., Koay, K. L., & Walters, M. L. (2009). The Negative Attitudes Towards Robots Scale and reactions to robot behaviour in a live Human-Robot Interaction study. http://uhra.herts.ac.uk/handle/2299/9641
Takano, K., & Tanno, Y. (2009). Self-rumination, self-reflection, and depression: Self-rumination counteracts the adaptive effect of self-reflection. Behaviour Research and Therapy, 47(3), 260–264. https://doi.org/10.1016/j.brat.2008.12.008
Tizhoosh, H. R., & Pantanowitz, L. (2018). Artificial intelligence and digital pathology: Challenges and opportunities. Journal of Pathology Informatics, 9, 38. https://doi.org/10.4103/jpi.jpi_53_18
Tsai, C.-Y., Marshall, J. D., Choudhury, A., Serban, A., Tsung-Yu Hou, Y., Jung, M. F., Dionne, S. D., & Yammarino, F. J. (2022). Human-robot collaboration: A multilevel and integrated leadership framework. The Leadership Quarterly, 33(1), 101594. https://doi.org/10.1016/j.leaqua.2021.101594
VanMaanen, J., & Kunda, G. (1989). Real feelings-emotional expression and organizational culture. Research in Organizational Behavior, 11, 43–103.
Vogt, J. (2021). Where is the human got to go? Artificial intelligence, machine learning, big data, digitalisation, and human–robot interaction in Industry 4.0 and 5.0. AI & Society, 36(3), 1083–1087. https://doi.org/10.1007/s00146-020-01123-7
Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2021). Artificial intelligence, robotics, advanced technologies and human resource management: A systematic review. The International Journal of Human Resource Management, 0(0), 1–30. https://doi.org/10.1080/09585192.2020.1871398
Wang, B. (2018). The future of manufacturing: A new perspective. Engineering, 4(5), 722–728. https://doi.org/10.1016/j.eng.2018.07.020
Wang, M., Liu, S., Liao, H., Gong, Y., Kammeyer-Mueller, J., & Shi, J. (2013). Can’t get it out of my mind: Employee rumination after customer mistreatment and negative mood in the next morning. Journal of Applied Psychology, 98(6), 989–1004. https://doi.org/10.1037/a0033656
Wang, T.-M., Tao, Y., & Liu, H. (2018). Current researches and future development trend of intelligent robot: A review. International Journal of Automation and Computing, 15(5), 525–546. https://doi.org/10.1007/s11633-018-1115-1
Watkins, E. R. (2008). Constructive and unconstructive repetitive thought. Psychological Bulletin, 134(2), 163–206. https://doi.org/10.1037/0033-2909.134.2.163
Watkins, E. R., & Moulds, M. L. (2009). Thought control strategies, thought suppression, and rumination in depression. International Journal of Cognitive Therapy, 2(3), 235–251. https://doi.org/10.1521/ijct.2009.2.3.235
West, D. M. (2018). The future of work: Robots, AI, and automation. Brookings Institution Press.
West, M. (1996). Reflexivity and work group effectiveness:a conceptual integration (M. A. West, Ed.; pp. 555–579). John Wiley & Sons, Ltd. https://eprints.lancs.ac.uk/id/eprint/58928/
Whetten, D. A. (1989). What constitutes a theoretical contribution? The Academy of Management Review, 14(4), 490–495. https://doi.org/10.2307/258554
Whitton, S. (2020, March 9). Using robots to enhance worker safety. Industry Today. https://industrytoday.com/using-robots-to-enhance-worker-safety/
Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial intelligence and the public sector—applications and challenges. International Journal of Public Administration, 42(7), 596–615. https://doi.org/10.1080/01900692.2018.1498103
Wisskirchen, G., Biacabe, B. T., Bormann, U., Muntz, A., Niehaus, G., Soler, G. J., & von Brauchitsch, B. (2017). Artificial intelligence and robotics and their impact on the workplace. IBA Global Employment Institute, 11(5), 49–67.
Wrosch, C., Scheier, M. F., Miller, G. E., Schulz, R., & Carver, C. S. (2003). Adaptive self-regulation of unattainable goals: Goal disengagement, goal reengagement, and subjective well-being. Personality and Social Psychology Bulletin, 29(12), 1494–1508. https://doi.org/10.1177/0146167203256921
Wu, C.-H., & Parker, S. K. (2013). Thinking and acting in anticipation: A review of research on proactive behavior. Advances in Psychological Science, 21(4), 679. https://doi.org/10.3724/sp.j.1042.2013.00679
Wu, C.-H., Parker, S. K., & Bindl, U. K. (2013). Who is proactive and why? Unpacking individual differences in employee proactivity. In A. B. Bakker (Ed.), Advances in Positive Organizational Psychology (Vol. 1, pp. 261–280). Emerald Group Publishing Limited. https://doi.org/10.1108/s2046-410x(2013)0000001014
Wu, C.-H., Parker, S. K., & de Jong, J. P. J. (2014). Need for cognition as an antecedent of individual innovation behavior. Journal of Management, 40(6), 1511–1534. https://doi.org/10.1177/0149206311429862
Ye, X., Ren, S., Chadee, D., & Wang, Z. (2020). ‘The canary in the coal mine’: A multi-level analysis of the role of hope in managing safety performance of underground miners. Journal of Vocational Behavior, 121, 103461. https://doi.org/10.1016/j.jvb.2020.103461
Zanchettin, A. M., Ceriani, N. M., Rocco, P., Ding, H., & Matthias, B. (2016). Safety in human-robot collaborative manufacturing environments: Metrics and control. IEEE Transactions on Automation Science and Engineering, 13(2), 882–893. https://doi.org/10.1109/tase.2015.24122
|