Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Gen-Z leverage social media to showcase their skills and talent to ensure good career opportunities. The objective of this research is to study the mediation effect of affinity towards social media in defining relationship between social media and career decisions made by Gen-Z. Purposive sampling technique is used to collect responses from 500 Gen-Z. Structural dependence relationship between the constructs has been analysed using Structural equation modelling (SEM) technique. Mediating effect has been studied using Bootstrapping technique. The model’s validity and reliability has been examined by using Confirmatory Factor Analysis Results show Gen-Z demonstrate affinity towards social media reviews and make career decisions based on them. Mere usage of social media does not influence their career decisions but the affinity towards social media plays a mediating role between usage and career decisions. Findings of this empirical research will help HR managers in redefining of hiring strategy and help attract Gen-Z talent by leveraging social websites. This research is a value addition as limited research work is available in this matter and help managers in redefining the HR and Talent strategy.
Czasopismo
Rocznik
Tom
Strony
97--117 (*)
Opis fizyczny
Bibliogr. 43 poz., rys., tab.
Twórcy
autor
- Symbiosis International Deemed University Pune, Indie
autor
- Institute of Business Management, Symbiosis International Deemed University, Pune, Indie
Bibliografia
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- [4] Bizzi, L. (2018). Employees Who Use Social Media for Work Are More Engaged - but Also More Likely to Leave Their Jobs. In Harvard Business Review (Vol. 10). https://hbr.org/2018/05/employees-who-use-social-media-for-work-are-more-engaged-but-also-more-likely-to-leave-their-jobs.
- [5] Cangur, S., & Ercan, I. (2015). Comparison of model fit indices used in structural equation modeling under multivariate normality. Journal of Modern Applied Statistical Methods, 14(1), 152-167. https://doi.org/10.22237/jmasm/1430453580.
- [6] Chin, W., Cheah, J. H., Liu, Y., Ting, H., Lim, X. J., & Cham, T. H. (2020). Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research. Industrial Management and Data Systems, 120(12), 2161-2209. https://doi.org/10.1108/IMDS-10-2019-0529.
- [7] Chinda, T., & Mohamed, S. (2008). Structural equation model of construction safety culture. Engineering, Construction and Architectural Management, 15(2), 114-131. https://doi.org/10.1108/09699980810852655.
- [8] Csiszárik-Kocsír, Á., & Garia-Fodor, M. (2018). Motivation analysing and preference system of choosing a workplace as segmentation criteria based on a country wide research result focus on generation of Z. Online Journal Modelling the New Europe. https://doi.org/10.24193/OJMNE.2018.27.03.
- [9] Euajarusphan, A. (2022). Online Social Media Usage Behavior, Attitude, Satisfaction, and Online Social Media Literacy of Generation X, Generation Y, and Generation Z. SSRN Electronic Journal, 10(2), 44-58. https://doi.org/10.2139/ssrn.3998457.
- [10] Fornell, C., & Larcker, D. F. (2016). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research This, 18(1), 39-50.
- [11] Gaidhani, S., Arora, L., & Sharma, B. K. (2019). Understanding the attitude of generation Z towards workplace. International Journal of Management, Technology And Engineering.
- [12] Ghi, T. N., Thu, N. Q., Huan, N. Q., & Trung, N. T. (2022). Human capital, digital transformation, and firm performance of startups in Vietnam. Management, 26(1), 1-18. https://doi.org/10.2478/manment-2019-0081.
- [13] Iorgulescu, M. C. (2016). Generation Z And Its Perception of Work Empirical Study. Cross-Cultural Management Journal Volume XVIII.
- [14] Karasek, A., & Hysa, B. (2020). Social media and generation Y, Z a challenge for employers. Scientific Papers of Silesian University of Technology Organization and Management Series, 2020(144). https://doi.org/10.29119/1641-3466.2020.144.18.
- [15] Kline, R. B. (2015). Principles and practice of structural equation. modeling New York, NY: Guilford. 445.
- [16] Klopotan, I., Aleksić, A., & Vinković, N. (2020). Do Business Ethics and Ethical Decision Making Still Matter: Perspective of Different Generational Cohorts. Business Systems Research. https://doi.org/10.2478/bsrj-2020-0003
- [17] Kocak, C., Egrioglu, E., Yolcu, U., Aladag, C. H., Kocak, C., Egrioglu, E., Yolcu, U., & Aladag, C. H. (2014). Computing Cronbach Alpha Reliability Coefficient for Fuzzy Survey Data. American Journal of Intelligent Systems, 4(5), 204-213. https://doi.org/10.5923/j.ajis.20140405.03.
- [18] Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. In Journal of Industrial Information Integration. https://doi.org/10.1016/j.jii.2017.04.005.
- [19] Marsh, H. W., & Hocevar, D. (1985). Application of Confirmatory Factor Analysis to the Study of Self-Concept. First- and Higher Order Factor Models and Their Invariance Across Groups. Psychological Bulletin, 97(3), 562-582. https://doi.org/10.1037/0033-2909.97.3.562.
- [20] Naresh, B., & Rathnam, B. V. (2015). Job Hopping In Software Industry With Reference To Select Software Companies: A Study. International Journal of Recent Research Aspects, 2(1), 38-45.
- [21] NASSCOM. (2020). Future Skills Talent in India: Demand-Supply Analysis. October, 42. https://nasscom.in/system/files/secure-pdf/DRAUP_Nasscom_India-Technology-Skills-Demand-Supply-Analysis-16-Oct-2020-Final.pdf.
- [22] Nunnally, 1994. (1994). Book Review: Psychometric theory (3rd ed.). Journal of Psychoeducational Assessment, 17(3), 275–280. https://doi.org/10.1177/073428299901700307.
- [23] Owolabi, H. O., Ayandele, J. K., & Olaoye, D. D. (2020). a Systematic Review of Structural Equation Model (Sem). Open Journal of Educational Development (ISSN: 2734-2050), 1(2), 27-39. https://doi.org/10.52417/ojed.v1i2.163.
- [24] Pandita, D. (2021). Innovation in talent management practices: creating an innovative employer branding strategy to attract generation Z. International Journal of Innovation Science. https://doi.org/10.1108/IJIS-10-2020-0217.
- [25] Penyelidikan, J. (2006). Sample Size Estimation Using Krejcie And Morgan And Cohen Statistical Power Analysis: A Comparison. Jurnal Penyelidikan IPBL, 7, 78-86.
- [26] Pillar, P. R. (2016). Welcome to generation war. In National Interest (Vol. 2016, Issue August).
- [27] Prakash Yadav, G., & Rai, J. (2017). The Generation Z and their Social Media Usage: A Review and a Research Outline. Global Journal of Enterprise Information System. https://doi.org/10.18311/gjeis/2017/15748
- [28] Prawitasari, G. (2018). The Influence of Generations on Career Choice (Social Cognitive Career Theory Perspective). Konselor. https://doi.org/10.24036/02018718464-0-00.
- [29] Roblek, V., Mesko, M., Dimovski, V., & Peterlin, J. (2019). Smart technologies as social innovation and complex social issues of the Z generation. Kybernetes. https://doi.org/10.1108/K-09-2017-0356.
- [30] Schoemaker, P. J. H., Heaton, S., & Teece, D. (2018). Innovation, dynamic capabilities, and leadership. California Management Review, 61(1), 15-42. https://doi.org/10.1177/0008125618790246.
- [31] Sedera, D., Lokuge, S., Atapattu, M., & Gretzel, U. (2017). Likes – The key to my happiness: The moderating effect of social influence on travel experience. Information and Management, 54(6), 825-836. https://doi.org/10.1016/j.im.2017.04.003.
- [32] Shrivastava, A. (2013). A Preliminary study on reliability engineering and its evaluation. January, 3-6.
- [33] Sidorcuka, I., & Chesnovicka, A. (2017). Methods of Attraction and Retention Of Generation Z Staff. CBU International Conference Proceedings. https://doi.org/10.12955/cbup.v5.1030
- [34] Singh, A. (2014). Challenges and Issues of Generation Z. IOSR Journal of Business and Management, 16(7), 59-63. https://doi.org/10.9790/487x-16715963.
- [35] Singh, A. P., & Dangmei, J. (2016). Understanding The Generation Z: The Future Workforce. South -Asian Journal of Multidisciplinary Studies.
- [36] Streiner, D. L. (2006). Building a better model: An introduction to structural equation modelling. Canadian Journal of Psychiatry, 51(5), 317-324. https://doi.org/10.1177/070674370605100507.
- [37] Sun, Y., Wang, R., Cao, D., & Lee, R. (2021). Who are social media influencers for luxury fashion consumption of the Chinese Gen Z? Categorisation and empirical examination. Journal of Fashion Marketing and Management. https://doi.org/10.1108/JFMM-07-2020-0132.
- [38] Törőcsik, M., Szűcs, K., & Kehl, D. (2014). How Generations Think: Research on Generation Z. Acta Universitatis Sapientiae, Communicatio, 1(2014), 23-45. http://grupespsichoterapija.lt/wp-content/uploads/2017/09/comm1-3. pdf%0A http://www.acta.sapientia.ro/acta-comm/C1/comm1-3.pdf.
- [39] Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance Of Information Technology Towards A Unified View. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540.
- [40] Vitelar, A. (2013). Like Me: Generation Z and the Use of Social Media for Personal Branding. Management Dynamics in the Knowledge Economy, 7(2), 257-268. https://doi.org/10.25019/mdke/7.2.07.
- [41] Wang, K., Xu, Y., Wang, C., Tan, M., & Chen, P. (2020). A Corrected Goodness-of-Fit Index (CGFI) for Model Evaluation in Structural Equation Modeling. Structural Equation Modeling, 27(5), 735-749. https://doi.org/10.1080/10705511.2019.1695213.
- [42] Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behavior Research Methods, 51(1), 409-428. https://doi.org/10.3758/s13428-018-1055-2.
- [43] Xiong, B., Skitmore, M., & Xia, B. (2015). A critical review of structural equation modeling applications in construction research. Automation in Construction, 49(PA), 59-70. https://doi.org/10.1016/j.autcon.2014.09.006.
Uwagi
1. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
2. (*) Błędna numeracja stron
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b68ccb56-9827-4367-b1d7-694b59d199dd