Big Data Literature-based Bibliometric Mapping Analysis for Competences Adaptable to Industry 4.0 and 5.0: Implications for Career Orientation
DOI:
https://doi.org/10.58423/2786-6742/2023-4-578-590Keywords:
Career orientation, Industry 4.0, Industry 5.0, Global Career Orientation, Bibliometric method, competences, instrumentality as career success, value orientationAbstract
This study recognizes the presence of a competence-based foundation in the career orientations of both graduate students and professionals. The career orientations of graduating students and professionals, encompassing their interests and objectives, are strongly influenced by their competencies. Competence is an essential foundation for making career choices and aligns with the firm-based competitive advantage that relies on competence (e.g., core competence and dynamic capability). Fundamentally, competence is also a structure of “career orientation” that delivers unique functions of a person or an organization, manifesting VRINO properties of differentiation (e.g., valuable, rare, inimitable, non-substitutable, and organized). Graduating students and professionals build know-why competencies (that relate to career motivation, personal meaning and identification, know-how competencies (functioning strengths that contribute to a firm’s repertoire of overall capabilities), and know-whom competencies, including communication capability. The concept of competence in career orientation is often overlooked, and only a select few deeply understand how competencies should be integrated with other aspects of career orientation. This study examines the typological characteristics of career orientation and its anchors, addressing the need for more knowledge in the current literature. Industry 4.0 and 5.0 exemplify the competencies that graduating students and professionals should possess. These industries and societies utilize intelligent cyber-physical interactions to impact various aspects such as lifestyles, product development, process controls, and industry advancement. This study utilizes the bibliometric analysis method within the limitations of research papers. It applies the Sciencedirect.com databases and focuses on the keywords “Industry 4.0 and Industry 5.0” to identify the competence clusters, essentially a thematic analysis of the interrelationships of a cluster of themes that explain the competence profile for Industry 4.0 and Industry 5.0. Six competence profiles are identified using the bibliometric method: (1) key driver cluster represented by the cyber-physical system, (2) intelligence infrastructure and intelligent factory, (3) intelligence system and resilience, (4) sustainable development goals, (5) supply chain management, stakeholders, sustainable economy, big data analytics, and digital technology, and (6) intelligent businesses. Three typological dimensions of career orientation are proposed: instrumentality (self-organization continuum), value (stability-flexibility continuum), and competence superimposition, which includes core competence in the stability segment and dynamic capability in the flexibility segment. In the context of I4 and I5, it is suggested that graduating students and professionals build a global mindset and technological competence to support globally competent organizations and their businesses.
References
Alavi, S.B., Moteabbed, S., & Arasti, M.B. (2012). A qualitative investigation of career orientations of a sample of Iranian software engineers. Scientia Iranica D, 19(3), 662-673. DOI: https://doi.org/10.1016/j.scient.2011.08.033
Cao, J., & Hamori, M. (2022). Adapting careers to the COVID crisis: the impact of the pandemic on employees’ career orientations. Journal of Vocational Behavior, 139, 103789. DOI: https://doi.org/10.1016/j.jvb.2022.103789
Cortellazzo, L., Bonesso, S., Gerli, F., & Batista-Foguet, J.M. (2020). Protean career orientation: Behavioral antecedents and employability outcomes. Journal of Vocational Behavior, 116(Part A), 103343. Doi: 10.1016/j.jvb.2019.103343. DOI: https://doi.org/10.1016/j.jvb.2019.103343
Coelho, P., Bessa, C., Landeck, J., & Silva, C. (2023). Industry 5.0: The arising of a concept. Procedia Computer Science, 217, 1137-1144. DOI: https://doi.org/10.1016/j.procs.2022.12.312
DeLong, T. J. (1984). A Comparison of the Career Orientations of Rural and Urban Educators. Educational Review, 36, 67-74. DOI: https://doi.org/10.1080/0013191840360106
De Oliveira Albergaria Lopes, R., Sbragia, R., & Qualharini, E.L. (2016). The psychological contract and project management as a core competence of the organization. Procedia – Social and Behavioral Sciences, 226, 148-155. DOI: https://doi.org/10.1016/j.sbspro.2016.06.173
De Sousa Jabbour, A.B., Latan, H., Jabbour, C.J.C., & Pais Seles, B.M.R. (2023). Does applying a circular business model lead to organizational resilience? Mediating effects of industry 4.0 and customers integration. Technological Forecasting and Social Change, 194, 122672. Doi: 10.1016/j.techfore.2023.122672. DOI: https://doi.org/10.1016/j.techfore.2023.122672
Dino, M.J., Vital, J.C., Patricio, C., Catajan, M.W., Ong, I., Gallardo, A., Mascaspac, R., de Vera, O., Santos, F., Agustin, P.D., Ragmac, I., & Tablizo, A. (2023). Charting the uncharted: mapping scientific publications on online disinhibition effect in the digital space via bibliometrics and network analyses. Computers in Human Behavior Reports, 12, 100336. DOI: https://doi.org/10.1016/j.chbr.2023.100336
Doyle-Kent, M. (2021). Collaborative robotics in industry 5.0 [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.70144
Doyle-Kent, M., & Shanahan, B.W. (2022). The development of a novel educational model to successfully upskill technical worker for Industry 5.0: Ireland a case study. IFAC PapersOnLine, 55-39, 425-430. DOI: https://doi.org/10.1016/j.ifacol.2022.12.072
Gerber, M., Wittekind, A., Grote, G., Conway, N., & Guest, D. (2009). Generalizability of career orientations: a comparable study in Switzerland and Great Britain. Journal of Occupational and Organizational Psychology, 82, 779-901. DOI: https://doi.org/10.1348/096317909X474740
Gladysz, B., Tran, T.A., Romero, D., van Erp, T., Abonyi, J., & Ruppert, T. (2023). Current development on the Operator 4.0 and transition towards the Operator 5.0. Journal of Manufacturing Systems, 70, 160-185. DOI: https://doi.org/10.1016/j.jmsy.2023.07.008
Golovianko, M., Terziyan, V., Branytskyi, V., & Malyk, D. (2023). Industry 4.0 vs. Industry 5.0: co-existence, transition, or a hybrid. Procedia Computer Science, 217, 102-113. DOI: https://doi.org/10.1016/j.procs.2022.12.206
Goncalves, C.L., Pereira, L., & Akkari, A.C.S. (2023). Bibliometric mapping of research trends on software architecture for e-health systems. Procedia Computer Science, 219, 1462-1469. DOI: https://doi.org/10.1016/j.procs.2023.01.436
Haenggli, M., Hirschi, A., Rudolph, C.W., & Peiro, J.M. (2021). Exploring the dynamics of protean career orientation, career management behaviors, and subjective career success: an action regulation theory approach. Journal of Vocational Behavior, 131, 103650. DOI: https://doi.org/10.1016/j.jvb.2021.103650
Han, D., Chen, H., Song, G., Yip, T.L., & Wu, B. (2023). Mapping the landscape of ship berthing research: a bibliometric analysis and literature review over two decades. Ocean and Coastal Management, 242, 106730. DOI: https://doi.org/10.1016/j.ocecoaman.2023.106730
Hein-Pensel, F., Winkler, H., Bruckner, A., Wolke, M., Jabs, I., Mayan, I.J., Kirschenbaum, A., Friedrich, J., & Zinke-Wehlmann, C. (2023). Maturity assessment for industry 5.0: a review of existing maturity models. Journal of Manufacturing Systems, 66, 200-210.a DOI: https://doi.org/10.1016/j.jmsy.2022.12.009
Hirschi, A., Hermann, A., Nagy, N., & Spark, D. (2016). All in the name of work? Nonwork orientations as predictors of salary, career satisfaction, and life satisfaction. Journal of Vocational Behavior, 95-96, 45-57. DOI: https://doi.org/10.1016/j.jvb.2016.07.006
Hirschi, A., & Koen, J. (2021). Contemporary career orientations and career self-management: a review and integration. Journal of Vocational Behavior, 126, 103505. DOI: https://doi.org/10.1016/j.jvb.2020.103505
Igbaria, M., & Baroudi, J.J. (1993). A short-form measure of career orientations: A psychometric evaluation. Journal of Management Information Systems, 10(2), 131-154. DOI: https://doi.org/10.1080/07421222.1993.11518003
Kestering, D., Agbleze, S., Bispo, H., & Lima, F.V. (2023). Model predictive control of power plant cycling using 4.0 infrastructure. Digital Chemical Engineering, 7, 100090. Doi: 10.1016/j.dche.2023.100090. DOI: https://doi.org/10.1016/j.dche.2023.100090
Khan, M., Haleem, A., & Javaid, M. (2023). Changes and improvements in industry 5.0: a strategic approach to overcome the challenges of industry 4.0. Green Technologies and Sustainability, 1, 100020. DOI: https://doi.org/10.1016/j.grets.2023.100020
Kong, H., Yin, Z., Baruch, Y., & Yuan, Y. (2023). The impact of trust in AI on career sustainability: the role of employee-AI collaboration and protean career orientation. Journal of Vocational Behavior, 146, 103928. DOI: https://doi.org/10.1016/j.jvb.2023.103928
Lee, B., Kwon, C.Y., Lee, Y., Alraek, T., Birch, S., Lee, H.W., Ang, L., & Lee, M.S. (2023). Global research trends of sham acupuncture: a bibliometric analysis. Complementary Therapies in Medicine. Doi: 10.1016/j.ctim.2023.103001. DOI: https://doi.org/10.1016/j.ctim.2023.103001
Martinez-Garcia, A., Horrach-Rossello, P., & Mulet-Forteza, C. (2023). Mapping the intellectual and conceptual structure of research on CoDa in the ‘social sciences’ scientific domain. A bibliometric overview. Journal of Geochemical Exploration, 252, 107273. DOI: https://doi.org/10.1016/j.gexplo.2023.107273
Nobanee, H., & Ullah, S. (2023). Mapping green tax: a bibliometric analysis and visualization of relevant research. Sustainable Futures, 6, 100129. DOI: https://doi.org/10.1016/j.sftr.2023.100129
Pandey, D.K., Hassan, M.K., Kumari, V., Zaied, Y.B., & Rai, V.K. (2024). Mapping the landscape of FinTech in banking and finance: a bibliometric view. Research in International Business and Finance, 67, 102116. DOI: https://doi.org/10.1016/j.ribaf.2023.102116
Punj, N., Ahmi, A., Tanwi, A., & Rahim, S.A. (2023). Mapping the field of green manufacturing: a bibliometric review of the literature and research frontiers. Journal of Cleaner Production, 423, 138729. DOI: https://doi.org/10.1016/j.jclepro.2023.138729
Schein, E.H. (1987). Individuals and careers. In J.W. Lorsch (ed.). Handbook of organizational behavior (pp. 155-171). Englewood Cliffs, NJ: Prentice-Hall.
Smirnov, A., & Shilov, N. (20150. Service-based socio-cyberphysical network modeling for guided self-organization. Procedia Computer Science, 64, 290-297. DOI: https://doi.org/10.1016/j.procs.2015.08.492
Tan, C.C. (2023). Chapter 14: Towards an Integrated Account of Competence-Based Theory of Competition for Community-Based MICE (Meetings, Incentives, Conferences, and Exhibitions) Tourism Segment Transformation Effort. In Khan, M.A., Shukla, U.N., & Kulshreshtha, S.K. (Eds.). Post-COVID Tourism and Hospitality Dynamics: Recovery, Revival, and Re-Start (pp. 233-258). AAP (Apple Academic Press) and CRC Press: Taylor and Francis Group. DOI: https://doi.org/10.1201/9781003429722-14
Toth-Peter, A., de Oliveira, R.T., Mathews, S., Braner, L., & Figueira, S. (2023). Industry 4.0 as an enabler in transitioning to circular business models: A systematic literature review. Journal of Cleaner Production, 393, 20, 136284. Doi: 10.1016/j.clepro.2023.136284. DOI: https://doi.org/10.1016/j.jclepro.2023.136284
Valette, E., El-Haouzi, H.B., & Demesure, G. (2023). Industry 5.0 and its technologies: a systematic literature review upon the human place into IoT- and CPS-based industrial systems. Computers & Industrial Engineering, 184, 109426. DOI: https://doi.org/10.1016/j.cie.2023.109426
Wang, J., Liu, H., Wei, Z., Pan, K., Ji, W., Jiang, Y., Ye, D., & Wang, H. (2023). Mapping the research on the spontaneous combustion of high-pressure hydrogen leakage: a bibliometric analysis. International Journal of Hydrogen Energy. Doi: 10.1016/j.ijhydene.2023.08.196. DOI: https://doi.org/10.1016/j.ijhydene.2023.08.196
Wils, T., Wils, L., & Tremblay, M. (2014). Revisiting the career anchor model: a proposition and an empirical investigation of a new model of career value structure. Relations Industrielles (Industrial Relations), 69(4), 813-838. DOI: https://doi.org/10.7202/1028113ar
Zhang, T.Y., & Ye, D. (2020). False data injection attacks with complete stealthiness in cyber-physical systems: a self-generated approach. Automatica, 120, 109117 DOI: https://doi.org/10.1016/j.automatica.2020.109117
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