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How proactive personality and ICT-enabled technostress creators configure as drivers of job crafting

Published online by Cambridge University Press:  04 July 2022

Jestine Philip Open the ORCID record for Jestine Philip [Opens in a new window]  and
Vasiliki Kosmidou
Jestine Philip*
Affiliation:
Department of Management, Pompea College of Business, University of New Haven, 300 Boston Post Rd., West Haven, CT 06516, USA
Vasiliki Kosmidou
Affiliation:
Department of Management, Pompea College of Business, University of New Haven, 300 Boston Post Rd., West Haven, CT 06516, USA
*
*Corresponding author: E-mail: jphilip@newhaven.edu
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Abstract

The purpose of this research is to examine configurations of proactive personality and ICT-enabled technostress creators as drivers of job crafting for Gen Z, Gen Y, and Gen X+ workers. Adhering to configurational theorizing, the study was conducted using fuzzy set qualitative comparative analysis (fsQCA). Survey responses collected from 335 full-time workers revealed that the presence of a proactive personality was a necessary condition for job crafting to occur within the context of ICT demands for these generations. Four configurations for Gen Z, five configurations for Gen Y, and four configurations for Gen X+ workers revealed sufficient conditions for job crafting. The present research contemporizes Job Demands-Resources (JD-R) theory by incorporating ICT as a modern-day job demand. In using fsQCA as a novel qualitative methodological tool, this research offers new meaning to the prior regression-based findings regarding proactive personality trait's relationship with job crafting.

Keywords

Fuzzy-set qualitative comparative analysisICTjob craftingProlifictechnostress creators

Information

Type
Research Article
Information
Journal of Management & Organization , Volume 29 , Issue 4: The Role of New ICT-based Systems in Modern Management , July 2023 , pp. 724 - 744
Copyright
© The Author(s), 2022. Published by Cambridge University Press in association with the Australian and New Zealand Academy of Management

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References

Aguiar-Quintana, T., Nguyen, T. H. H., Araujo-Cabrera, Y., & Sanabria-Díaz, J. M. (2021). Do job insecurity, anxiety and depression caused by the COVID-19 pandemic influence hotel employees’ self-rated task performance? The moderating role of employee resilience. International Journal of Hospitality Management, 94, 102868.10.1016/j.ijhm.2021.102868CrossRefGoogle ScholarPubMed
Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831–858 .CrossRefGoogle Scholar
Baker, R., & Slemp, G. (2018). An introduction to micro job crafting: How job crafting for 12 min or less a day contributes to sustainable positive behaviour change. CIPD Applied Research Conference.Google Scholar
Bakker, A. B., Demerouti, E., Taris, T. W., Schaufeli, W. B., & Schreurs, P. J. (2003). A multigroup analysis of the job demands-resources model in four home care organizations. International Journal of Stress Management, 10(1), 16.10.1037/1072-5245.10.1.16CrossRefGoogle Scholar
Bakker, A. B., & de Vries, J. D. (2021). Job demands–resources theory and self-regulation: New explanations and remedies for job burnout. Anxiety, Stress, & Coping, 34(1), 1–21.CrossRefGoogle ScholarPubMed
Bakker, A. B., Tims, M., & Derks, D. (2012). Proactive personality and job performance: The role of job crafting and work engagement. Human Relations, 65(10), 1359–1378.CrossRefGoogle Scholar
Bateman, T. S., & Crant, J. M. (1993). The proactive component of organizational behavior: A measure and correlates. Journal of Organizational Behavior, 14(2), 103–118.CrossRefGoogle Scholar
Berg, J. M., Dutton, J. E., & Wrzesniewski, A. (2008). What is job crafting and why does it matter. Retrieved form the website of Positive Organizational Scholarship.Google Scholar
Boer, H., Holweg, M., Kilduff, M., Pagell, M., Schmenner, R., & Voss, C. (2015). Making a meaningful contribution to theory. International Journal of Operations & Production Management, 35(9), 1231–1252. https://doi.org/10.1108/IJOPM-03-2015-0119.CrossRefGoogle Scholar
Boudrias, V., Trépanier, S. G., Foucreault, A., Peterson, C., & Fernet, C. (2020). Investigating the role of psychological need satisfaction as a moderator in the relationship between job demands and turnover intention among nurses. Employee Relations: The International Journal, 42(1), 213–231. https://doi.org/10.1108/ER-10-2018-0277.CrossRefGoogle Scholar
Bresman, H., & Rao, V. D. (2017). A survey of 19 countries shows how generations X, Y, and Z are – and aren't – different. Harvard Business Review, 25, 1–8.Google Scholar
Cennamo, L., & Gardner, D. (2008). Generational differences in work values, outcomes and person-organisation values fit. Journal of Managerial Psychology, 23(8), 891–906.10.1108/02683940810904385CrossRefGoogle Scholar
Cheng, C. F., Chang, M. L., & Li, C. S. (2013). Configural paths to successful product innovation. Journal of Business Research, 66(12), 2561–2573.CrossRefGoogle Scholar
Cheung, J. H., Burns, D. K., Sinclair, R. R., & Sliter, M. (2017). Amazon Mechanical Turk in organizational psychology: An evaluation and practical recommendations. Journal of Business and Psychology, 32(4), 347–361.CrossRefGoogle Scholar
Cornelissen, J., Höllerer, M. A., & Seidl, D. (2021). What theory is and can be: Forms of theorizing in organizational scholarship. Organization Theory, 2(3), 1–19.10.1177/26317877211020328CrossRefGoogle Scholar
Covin, J. G., Eggers, F., Kraus, S., Cheng, C. F., & Chang, M. L. (2016). Marketing-related resources and radical innovativeness in family and non-family firms: A configurational approach. Journal of Business Research, 69(12), 5620–5627.CrossRefGoogle Scholar
Cucina, J. M., Byle, K. A., Martin, N. R., Peyton, S. T., & Gast, I. F. (2018). Generational differences in workplace attitudes and job satisfaction: Lack of sizable differences across cohorts. Journal of Managerial Psychology, 33(3), 246–264. https://doi.org/10.1108/JMP-03-2017-0115.CrossRefGoogle Scholar
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499.10.1037/0021-9010.86.3.499CrossRefGoogle ScholarPubMed
Denoo, L., & Soh, P. H. (2018, July). A configurational approach to when entrepreneurs use strong or weak ties to attract their customers. In Academy of Management Proceedings (Vol. 2018, No. 1, p. 10849). Briarcliff Manor, NY 10510: Academy of Management.CrossRefGoogle Scholar
Derks, D., van Mierlo, H., & Schmitz, E. B. (2014). A diary study on work-related smartphone use, psychological detachment and exhaustion: Examining the role of the perceived segmentation norm. Journal of Occupational Health Psychology, 19(1), 74–84.CrossRefGoogle Scholar
Dul, J. (2016). Identifying single necessary conditions with NCA and fsQCA. Journal of Business Research, 69(4), 1516–1523.10.1016/j.jbusres.2015.10.134CrossRefGoogle Scholar
Fainshmidt, S., Witt, M. A., Aguilera, R. V., & Verbeke, A. (2020). The contributions of qualitative comparative analysis (QCA) to international business research, 51, 455–466.Google Scholar
Fiss, P. C. (2007). A set-theoretic approach to organizational configurations. Academy of Management Review, 32(4), 1180–1198.10.5465/amr.2007.26586092CrossRefGoogle Scholar
Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393–420.CrossRefGoogle Scholar
Forbes. (2021). 16 Tips To Help Remote Workers Solve Tech Issues (And Avoid Them In The First Place). Retrieved from https://www.forbes.com/sites/forbestechcouncil/2021/07/08/16-tips-to-help-remote-workers-solve-tech-issues-and-avoid-them-in-the-first-place/?sh=346f401b21ee.Google Scholar
Furnari, S., Crilly, D., Misangyi, V. F., Greckhamer, T., Fiss, P. C., & Aguilera, R. (2020). Capturing causal complexity: Heuristics for configurational theorizing. Academy of Management Review, 46(4).Google Scholar
Gabriel, A. S., Campbell, J. T., Djurdjevic, E., Johnson, R. E., & Rosen, C. C. (2018). Fuzzy profiles: Comparing and contrasting latent profile analysis and fuzzy set qualitative comparative analysis for person-centered research. Organizational Research Methods, 21(4), 877–904.CrossRefGoogle Scholar
Gaskin, J. (2018). Confirmatory Factor Analysis. Gaskination's StatWiki. Retrieved from http://statwiki.kolobkreations.com/index.php?title=Confirmatory_Factor_Analysis.Google Scholar
Gong, B., Greenwood, R. A., Hoyte, D., Ramkissoon, A., & He, X. (2018). Millennials and organizational citizenship behavior: The role of job crafting and career anchor on service. Management Research Review, 41(7), 774–788. https://doi.org/10.1108/MRR-05-2016-0121.CrossRefGoogle Scholar
Greckhamer, T., Misangyi, V. F., Elms, H., & Lacey, R. (2008). Using qualitative comparative analysis in strategic management research: An examination of combinations of industry, corporate, and business-unit effects. Organizational Research Methods, 11(4), 695–726.CrossRefGoogle Scholar
Gresov, C., & Drazin, R. (1997). Equifinality: Functional equivalence in organization design. Academy of Management Review, 22(2), 403–428.CrossRefGoogle Scholar
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective. Upper Saddle River, NJ: Pearson.Google Scholar
Hair, J., Celsi, M., Money, A., Samouel, P., & Page, M. (2015). Business research methods. Armonk, NY: ME Sharpe.Google Scholar
Hamouche, S. (2021). Human resource management and the COVID-19 crisis: Implications, challenges, opportunities, and future organizational directions. Journal of Management & Organization, 1–16. https://doi.org/10.1017/jmo.2021.15.CrossRefGoogle Scholar
Hardré, P. L. (2003). Beyond two decades of motivation: A review of the research and practice in instructional design and human performance technology. Human Resource Development Review, 2(1), 54–81.CrossRefGoogle Scholar
Harms, R., Kraus, S., & Schwarz, E. (2009). The suitability of the configuration approach in entrepreneurship research. Entrepreneurship and Regional Development, 21(1), 25–49.CrossRefGoogle Scholar
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versusnew alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.CrossRefGoogle Scholar
Ingusci, E., Signore, F., Giancaspro, M. L., Manuti, A., Molino, M., Russo, V., … Cortese, C. G. (2021). Workload, techno overload, and behavioral stress during COVID-19 emergency: The role of job crafting in remote workers. Frontiers in Psychology, 12, 1141.CrossRefGoogle ScholarPubMed
Jiang, L., Xu, X., & Wang, H. J. (2021). A resources–demands approach to sources of job insecurity: A multilevel meta-analytic investigation. Journal of Occupational Health Psychology, 26(2), 108.10.1037/ocp0000267CrossRefGoogle ScholarPubMed
Khedhaouria, A., & Cucchi, A. (2019). Technostress creators, personality traits, and job burnout: A fuzzy-set configurational analysis. Journal of Business Research, 101, 349–361.CrossRefGoogle Scholar
Kooij, D. T., Nijssen, H., Bal, P. M., & van der Kruijssen, D. T. (2020). Crafting an interesting job: Stimulating an active role of older workers in enhancing their daily work engagement and job performance. Work. Aging and Retirement, 6(3), 165–174.CrossRefGoogle Scholar
Kosmidou, V., & Ahuja, M. K. (2019). A configurational approach to family firm innovation. Family Business Review, 32(2), 154–173.CrossRefGoogle Scholar
Kraus, S., Ribeiro-Soriano, D., & Schüssler, M. (2018). Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research–the rise of a method. International Entrepreneurship and Management Journal, 14(1), 15–33.CrossRefGoogle Scholar
Kroon, B., & Paauwe, J. (2021). HRM In 21st century small organizations: A midrange typology to describe, contrast and contextualize the phenomenon. The International Journal of Human Resource Management, 1–28. https://doi.org/10.1080/09585192.2021.1915359.Google Scholar
Laker, B., Patel, C., Budhwar, P., & Malik, A. (2020). How job crafting can make work more satisfying. MIT Sloan Management Review, 62(2).Google Scholar
Lazazzara, A., Tims, M., & De Gennaro, D. (2020). The process of reinventing a job: A meta-synthesis of qualitative job crafting research. Journal of Vocational Behavior, 116, 103267.CrossRefGoogle Scholar
Lichtenthaler, P. W., & Fischbach, A. (2016). Job crafting and motivation to continue working beyond retirement age. Career Development International, 21(5), 477–497. https://doi.org/10.1108/CDI-01-2016-0009.CrossRefGoogle Scholar
Loi, R., Liu, Y., Lam, L. W., & Xu, A. J. (2016). Buffering emotional job demands: The interplay between proactive personality and team potency. Journal of Vocational Behavior, 95, 128–137.CrossRefGoogle Scholar
Magni, F., & Manzoni, B. (2020). Generational differences in workers' expectations: Millennials want more of the same things. European Management Review, 17(4), 901–914.CrossRefGoogle Scholar
Marx, A., Rihoux, B., & Ragin, C. (2014). The origins, development, and application of qualitative comparative analysis: The first 25 years. European Political Science Review, 6(1), 115–142.CrossRefGoogle Scholar
McCrae, R. R., & Costa, P. T. (1985). Updating Norman's” adequacy taxonomy”: Intelligence and personality dimensions in natural language and in questionnaires. Journal of Personality and Social Psychology, 49(3), 710.CrossRefGoogle ScholarPubMed
Mello, P. A. (2014). Fuzzy-Set Qualitative Comparative Analysis. In Democratic Participation in Armed Conflict (pp. 46–62). London: Palgrave Macmillan.CrossRefGoogle Scholar
Meyer, A. D., Tsui, A. S., & Hinings, C. R. (1993). Configurational approaches to organizational analysis. Academy of Management Journal, 36(6), 1175–1195.CrossRefGoogle Scholar
Misangyi, V. F., & Acharya, A. G. (2014). Substitutes or complements? A configurational examination of corporate governance mechanisms. Academy of Management Journal, 57(6), 1681–1705.CrossRefGoogle Scholar
Misangyi, V. F., Greckhamer, T., Furnari, S., Fiss, P. C., Crilly, D., & Aguilera, R. (2017). Embracing causal complexity: The emergence of a neo-configurational perspective. Journal of Management, 43(1), 255–282.CrossRefGoogle Scholar
Molino, M., Ingusci, E., Signore, F., Manuti, A., Giancaspro, M. L., Russo, V., … Cortese, C. G. (2020). Wellbeing costs of technology use during COVID-19 remote working: An investigation using the Italian translation of the technostress creators scale. Sustainability, 12(15), 5911.CrossRefGoogle Scholar
Olya, H. G., & Gavilyan, Y. (2017). Configurational models to predict residents’ support for tourism development. Journal of Travel Research, 56(7), 893–912.CrossRefGoogle Scholar
Palan, S., & Schitter, C. (2018). Prolific. ac – A subject pool for online experiments. Journal of Behavioral and Experimental Finance, 17, 22–27.CrossRefGoogle Scholar
Palmer, T. B., Phadke, S., Nair, M. V., & Flanagan, D. J. (2019). Examination of sustainability goals: A comparative study of US and Indian firms. Journal of Management & Organization, 1–22. https://doi.org/10.1017/jmo.2019.9.Google Scholar
Pappas, I. O., & Woodside, A. G. (2021). Fuzzy-set qualitative comparative analysis (fsQCA): Guidelines for research practice in information systems and marketing. International Journal of Information Management, 58, 102310.CrossRefGoogle Scholar
Peer, E., Brandimarte, L., Samat, S., & Acquisti, A. (2017). Beyond the Turk: Alternative platforms for crowdsourcing behavioral research. Journal of Experimental Social Psychology, 70, 153–163.CrossRefGoogle Scholar
Pfaffinger, K. F., Reif, J. A., & Spieß, E. (2022). When and why telepressure and technostress creators impair employee well-being. International Journal of Occupational Safety and Ergonomics, 28(2), 958–973.CrossRefGoogle ScholarPubMed
Pignata, S., Winefield, A. H., Provis, C., & Boyd, C. M. (2016). A longitudinal study of the predictors of perceived procedural justice in Australian University staff. Frontiers in Psychology, 7, 1271.CrossRefGoogle ScholarPubMed
Pittino, D., Visintin, F., & Lauto, G. (2016). A configurational analysis of the antecedents of entrepreneurial orientation. European Management Journal, 35(2), 224–237.CrossRefGoogle Scholar
Pittino, D., Visintin, F., & Lauto, G. (2018). Fly away from the nest? A configurational analysis of family embeddedness and individual attributes in the entrepreneurial entry decision by next-generation members. Family Business Review, 31(3), 271–294.CrossRefGoogle Scholar
Plomp, J., Tims, M., Akkermans, J., Khapova, S. N., Jansen, P. G., & Bakker, A. B. (2016). Career competencies and job crafting: How proactive employees influence their well-being. Career Development International, 21(6), 587–602. https://doi.org/10.1108/CDI-08-2016-0145.CrossRefGoogle Scholar
Ragin, C. C. (2000). Fuzzy-set social science. Chicago, IL: University of Chicago Press.Google Scholar
Ragin, C. C. (2008). Measurement versus calibration: A set-theoretic approach. In The Oxford handbook of political methodology. Oxford, England: Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199286546.003.0008Google Scholar
Ragin, C. C., & Davey, S. (2016). Fuzzy-set/qualitative comparative analysis 3.0. Irvine: Department of Sociology, University of California.Google Scholar
Roig-Tierno, N., Gonzalez-Cruz, T. F., & Llopis-Martinez, J. (2017). An overview of qualitative comparative analysis: A bibliometric analysis. Journal of Innovation & Knowledge, 2(1), 15–23.CrossRefGoogle Scholar
Rudolph, C. W., Katz, I. M., Lavigne, K. N., & Zacher, H. (2017). Job crafting: A meta-analysis of relationships with individual differences, job characteristics, and work outcomes. Journal of Vocational Behavior, 102, 112–138.CrossRefGoogle Scholar
Schneider, C. Q., & Wagemann, C. (2010). Standards of good practice in qualitative comparative analysis (QCA) and fuzzy-sets. Comparative Sociology, 9(3), 397–418.CrossRefGoogle Scholar
Serrano Archimi, C., Reynaud, E., Yasin, H. M., & Bhatti, Z. A. (2018). How perceived corporate social responsibility affects employee cynicism: The mediating role of organizational trust. Journal of Business Ethics, 151(4), 907–921.CrossRefGoogle Scholar
Staw, B. M., Bell, N. E., & Clausen, J. A. (1986). The dispositional approach to job attitudes: A lifetime longitudinal test. Administrative Science Quarterly, 31(1), 56–77.CrossRefGoogle Scholar
Sumiyana, S., & Sriwidharmanely, S. (2020). Mitigating the harmful effects of technostress: Inducing chaos theory in an experimental setting. Behaviour & Information Technology, 39(10), 1079–1093.CrossRefGoogle Scholar
Tims, M., & Bakker, A. B. (2010). Job crafting: Towards a new model of individual job redesign. SA Journal of Industrial Psychology, 36(2), 1–9.CrossRefGoogle Scholar
Tims, M., Bakker, A. B., & Derks, D. (2012). Development and validation of the job crafting scale. Journal of Vocational Behavior, 80(1), 173–186.CrossRefGoogle Scholar
van Daalen, G., Willemsen, T. M., Sanders, K., & van Veldhoven, M. J. (2009). Emotional exhaustion and mental health problems among employees doing “people work”: The impact of job demands, job resources and family-to-work conflict. International Archives of Occupational and Environmental Health, 82(3), 291–303.CrossRefGoogle Scholar
Van den Heuvel, M., Demerouti, E., & Peeters, M. C. (2015). The job crafting intervention: Effects on job resources, self-efficacy, and affective well-being. Journal of Occupational and Organizational Psychology, 88(3), 511–532.CrossRefGoogle Scholar
Vaziri, H., Casper, W. J., Wayne, J. H., & Matthews, R. A. (2020). Changes to the work–family interface during the COVID-19 pandemic: Examining predictors and implications using latent transition analysis. Journal of Applied Psychology, 105(10), 1073.CrossRefGoogle Scholar
Verkuilen, J. (2005). Assigning membership in a fuzzy set analysis. Sociological Methods and Research, 33(4), 462–496.CrossRefGoogle Scholar
Vigo, J. (2019, 13 August). Generation Z And New Technology's Effect On Culture. Retrieved from https://www.forbes.com/sites/julianvigo/2019/08/31/generation-z-and-new-technologys-effect-on-culture/?sh=7ae959ee5c2a.Google Scholar
Vis, B. (2012). The comparative advantages of fsQCA and regression analysis for moderately large-N analyses. Sociological Methods & Research, 41(1), 168–198.CrossRefGoogle Scholar
Vogels, E. (2019). Millennials stand out for their technology use, but older generations also embrace digital life. Retrieved from https://www.pewresearch.org/fact-tank/2019/09/09/us-generations-technology-use/.Google Scholar
Wong, C. M., & Tetrick, L. E. (2017). Job crafting: Older workers’ mechanism for maintaining person-job fit. Frontiers in Psychology, 8, 1548.CrossRefGoogle ScholarPubMed
Wrzesniewski, A., LoBuglio, N., Dutton, J. E., & Berg, J. M. (2013). Job crafting and cultivating positive meaning and identity in work. In Advances in positive organizational psychology (Vol. 1, pp. 281–302). Bingley, West Yorkshire: Emerald Group Publishing Limited.CrossRefGoogle Scholar
Yang, G., Bai, X., & Yang, S. (2021). Chief executive officer proactive personality and acquisitions: A fuzzy Set qualitative comparative analysis of China's listed firms. Frontiers in Psychology, 12, 703678. https://doi.org/10.3389/fpsyg.2021.703678.CrossRefGoogle ScholarPubMed
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