Decoding the impact of digital paradigms on human capital efficacies: An empirical exploration of digital transformation as a moderator in work engagement frameworks
DOI:
https://doi.org/10.36096/ijbes.v6i6.622Keywords:
Digital transformation, human capital management practices (HCMP), work engagement, fourth industrial revolution (4IR), moderatorAbstract
This study investigates the impact of digital transformation on human capital management practices (HCMPs) and their influence on work engagement. The research aims to evaluate the effects of recruitment and selection, training, career opportunities, and reward on employee engagement, and to examine whether digital transformation moderates these relationships. Using a sample of 607 employees, data were collected through online questionnaires from the banking and hospitality sectors in South Africa and analyzed using partial least squares structural equation modeling (PLS-SEM). The study finds that HCMPs such as recruitment and selection, training, career opportunities, and reward positively affect work engagement. However, contrary to expectations, digital transformation did not significantly moderate the effect of HCMPs on Work engagement. This suggests that the impact of digitalization may be more complex and context dependent. The significance of this study lies in highlighting the stability of HCMP impacts amidst technological change, providing insights for organizations to manage work engagement effectively without over-relying on digital transformation as a moderating factor.
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References
Absar, M. M. N. (2012). Recruitment, & selection practices in manufacturing firms in Bangladesh. Indian Journal of Industrial Relations, 47(3), 436-449
Adler, H., & Leng, X. (2014). Issues faced by human resources managers of multinational hotels in China. Asian Journal of Business and Management, 2(2), 69-84
Adler, H., & Rigg, J. (2012). Expatriate hotel general managers in Jamaica: Perceptions of human resource, organizational, and operational challenges. Journal of Hotel and Business Management, 1(1), 2169-0286 DOI: https://doi.org/10.4172/2169-0286.1000104
Ahlers, E. (2016). Flexible and remote work in the context of digitization and occupational health. International Journal of Labour Research, 8(1-2), 85-99
Aladwan, K., Bhanugopan, R., & D’Netto, B. (2015). The effects of human resource management practices on employees’ organizational commitment. International Journal of Organizational Analysis, 23(3), 472-492 DOI: https://doi.org/10.1108/IJOA-11-2014-0822
Albrecht, S. L., Bakker, A. B., Gruman, J. A., Macey, W. H., & Saks, A. M. (2015). Employee engagement, human resource management practices and competitive advantage. Journal of Organizational Effectiveness: People and Performance, 2(1), 7-35 DOI: https://doi.org/10.1108/JOEPP-08-2014-0042
Ali, A., Murphy, H. C., & Nadkarni, S. (2018). Hospitality employers’ perceptions of technology for sustainable development: The implications for graduate employability. Tourism and Hospitality Research, 18(2), 131-142 DOI: https://doi.org/10.1177/1467358416636929
Andrew, O. C., & Sofian, S. (2012). Individual factors and work outcomes of employee engagement. Procedia-Social and Behavioral Sciences, 40(1), 498-508 DOI: https://doi.org/10.1016/j.sbspro.2012.03.222
Anitha, J. (2014). Determinants of employee engagement and their impact on employee performance. International Journal of Productivity and Performance Management, 63(3), 308-323 DOI: https://doi.org/10.1108/IJPPM-01-2013-0008
Bakker, A. B., & Albrecht, S. (2018). Work engagement: Current trends. Career Development International, 23(1), 4-11 DOI: https://doi.org/10.1108/CDI-11-2017-0207
Barrick, M. R., Thurgood, G. R., Smith, T. A., & Courtright, S. H. (2015). Collective organizational engagement: Linking motivational antecedents, strategic implementation, and firm performance. Academy of Management Journal, 58(1), 111-135 DOI: https://doi.org/10.5465/amj.2013.0227
Boshoff, C., & Allen, J. (2000). The influence of selected antecedents on frontline staff’s perceptions of service recovery performance. International Journal of Service Industry Management, 11(1), 63-90 DOI: https://doi.org/10.1108/09564230010310295
Bresciani, S., Ciampi, F., Meli, F., & Ferraris, A. (2021). Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda. International Journal of Information Management, 60, 1-15 DOI: https://doi.org/10.1016/j.ijinfomgt.2021.102347
Cazan, A. M. (2020). The digitization of working life: Challenges and opportunities. Psihologia Resurselor Umane, 18(1), 3-6 DOI: https://doi.org/10.24837/pru.v18i1.457
Chen, C. F., & Tsai, D. (2007). How destination image and evaluative factors affect behavioral intentions?. Tourism management, 28(4), 1115-1122 DOI: https://doi.org/10.1016/j.tourman.2006.07.007
Ciulu, R., & Dr?gan, L. (2011). Hospitality industry’s competition in terms of attracting and retaining valuable HR in Eastern Europe–the case of Romania. Journal of Tourism, 11, 56-64
Dominici, G., Roblek, V., Abbate, T., & Tani, M. (2016). Click and drive: Consumer attitude to product development. Towards future transformations of the driving experience. Business Process Management Journal, 22(2), 420-434 DOI: https://doi.org/10.1108/BPMJ-05-2015-0076
Ekwoaba, J. O., Ikeije, U. U., & Ufoma, N. (2015). The impact of recruitment and selection criteria on organizational performance. Global Journal of Human Resource Management, 3(2), 22-33
Ertz, M., Karakas, F., & Sarigöllü, E. (2016). Exploring pro-environmental behaviors of consumers: An analysis of contextual factors, attitude, and behaviors. Journal of Business Research, 69(10), 3971-3980 DOI: https://doi.org/10.1016/j.jbusres.2016.06.010
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388 DOI: https://doi.org/10.1177/002224378101800313
Giauque, D., Resenterra, F., & Siggen, M. (2010). The relationship between HRM practices and organizational commitment of knowledge workers. Facts obtained from Swiss SMEs. Human Resource Development International, 13(2), 185-205 DOI: https://doi.org/10.1080/13678861003703716
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014a). Multivariate data analysis. Harlow, UK: Pearson Education Limited
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014b). A primer on partial least squares structural equation modelling (PLS-SEM). Thousand Oaks, Califonia: Sage
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks,NJ: Sage
Harman, H. H. (1976). Modern factor analysis. University of Chicago press
Harsasi, M., Muzammil, M., & Radeswandri (2017). The effects of applying good human resources management practices on organizational citizenship behavior. Review of Integrative Business and Economics Research, 6(4), 196-213
Hashemiparast, M., Montazeri, A., Nedjat, S., Negarandeh, R., Sadeghi, R., & Garmaroudi, G. (2017). Pedestrian road crossing behavior (PEROB): Development and psychometric evaluation. Traffic Injury Prevention, 18(3), 281-285 DOI: https://doi.org/10.1080/15389588.2016.1174332
Hearthfield, S. M. (2012). Keys to employee satisfaction: What you can do to increase employee satisfaction. World Applied Sciences Journal, 26(10), 1304-1309
Hecklau, F., Galeitzke, M., Flachs, S., & Kohl, H. (2016). Holistic approach for human resource management in Industry 4.0. Procedia CIRP, 54(1), 1-6 DOI: https://doi.org/10.1016/j.procir.2016.05.102
Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692-724 DOI: https://doi.org/10.5465/256287
Karanges, E., Johnston, K., Beatson, A., & Lings, I. (2015). The influence of internal communication on employee engagement: A pilot study. Public Relations Review, 41(1), 129-131 DOI: https://doi.org/10.1016/j.pubrev.2014.12.003
Kraus, S., Jones, P., Kailer, N., Weinmann, A., Chaparro-Banegas, N., & Roig-Tierno, N. (2021). Digital transformation: An overview of the current state of the art of research. Sage Open, 11(3), 1-5 DOI: https://doi.org/10.1177/21582440211047576
Kumar, M., Raut, R. D., Mangla, S. K., Ferraris, A., & Choubey, V. K. (2022). The adoption of artificial intelligence powered workforce management for effective revenue growth of micro, small, and medium scale enterprises (MSMEs). Production Planning & Control, 1-17 DOI: https://doi.org/10.1080/09537287.2022.2131620
Landau, J., & Hammer, T. H. (1986). Clerical employees’ perceptions of intraorganizational career opportunities. The Academy of Management Journal, 29(2), 385-404 DOI: https://doi.org/10.5465/256194
Lin, S. W. (2017). Identifying the critical success factors and an optimal solution for mobile technology adoption in travel agencies. International Journal of Tourism Research, 19(2), 127-144 DOI: https://doi.org/10.1002/jtr.2092
Liu, H. C., Qin, J. T., Mao, L. X., & Zhang, Z. Y. (2015). Personnel selection using interval 2?tuple linguistic VIKOR method. Human Factors and Ergonomics in Manufacturing & Service Industries, 25(3), 370-384 DOI: https://doi.org/10.1002/hfm.20553
Malhotra, G. (2017). Strategies in research. International Journal for Advance Research and Development, 2(5), 172-180
Matikiti, R., Mpinganjira, M., & Roberts-Lombard, M. (2018). Application of the technology acceptance model and the technology-organisation-environment model to examine social media marketing use in the South African tourism industry. South African Journal of Information Management, 20(1), 1-12 DOI: https://doi.org/10.4102/sajim.v20i1.790
Mlangeni, S., & Telukdarie, A. (2018). Engineering management qualification: A comparative study for South African universities. In 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 1299-1303). IEEE DOI: https://doi.org/10.1109/IEEM.2018.8607372
Nitzl, C., Roldan, J. L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial Management and Data Systems, 116(9), 1849-1864 DOI: https://doi.org/10.1108/IMDS-07-2015-0302
Nunnally, J. C. (1978). Psychometric theory. New York, NY: McGraw-Hill
Nzukuma, K. C., & Bussin, M. (2011). Job-hopping amongst African Black senior management in South Africa. SA Journal of Human Resource Management, 9(1), 1-12 DOI: https://doi.org/10.4102/sajhrm.v9i1.360
Osborne, S., & Hammoud, M. S. (2017). Effective employee engagement in the workplace. International Journal of Applied Management and Technology, 16(1), 4 DOI: https://doi.org/10.5590/IJAMT.2017.16.1.04
Parham, S., & Tamminga, H. J. (2018). The adaptation of the logistic industry to the fourth industrial revolution: The role of human resource management. Journal of Business Management & Social Science Research, 7(9), 179-191
Pettersson, F., Siljebo, J., Wolming, S., & Ferry, M. (2024). A validated questionnaire for measuring digitalization as sociocultural change in educational contexts. The International Journal of Information and Learning Technology, 41(4), 359-370 DOI: https://doi.org/10.1108/IJILT-08-2023-0149
Rachinger, M., Rauter, R., Müller, C., Vorraber, W., & Schirgi, E. (2019). Digitalization and its influence on business model innovation. Journal of Manufacturing Technology Management, 30(8), 1143-1160 DOI: https://doi.org/10.1108/JMTM-01-2018-0020
Raina, B., & Kalse, A. (2018). A study of human resource practices on employee work engagement in hospitality industry. BVIMSR’s Journal of Management Research, 10(2), 194-206
Rasca, L. (2018). Employee experience – an answer to the deficit of talents in the fourth industrial revolution. Calitatea, 19(S3), 9-14
Rod, M., Carruthers, J., & Ashill, N. (2006). Antecedents and outcomes of service recovery performance: Insights from an organisation post-corporatisation and post-deregulation. Innovative Marketing, 2(2), 20-31
Rodriguez-Bustelo, C., Batista-Foguet, J. M., & Serlavós, R. (2020). Debating the future of work: The perception and reaction of the Spanish workforce to digitization and automation technologies. Frontiers in Psychology, 11, 1-14 DOI: https://doi.org/10.3389/fpsyg.2020.01965
Santana, M., & Cobo, M. J. (2020). What is the future of work? A science mapping analysis. European Management Journal, 38(6), 846-862 DOI: https://doi.org/10.1016/j.emj.2020.04.010
Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006). The measurement of work engagement with a short questionnaire: A cross-national study. Educational and Psychological Measurement, 66(4), 701-716 DOI: https://doi.org/10.1177/0013164405282471
Shamim, S., Cang, S., & Yu, H. (2017). Supervisory orientation, employee goal orientation, and knowledge management among front line hotel employees. International Journal of Hospitality Management, 62(1), 21-32 DOI: https://doi.org/10.1016/j.ijhm.2016.11.013
Shamim, S., Gang, S., & Yu, H. (2016). Influencers of information system usage among employees for knowledge creation: A future research agenda. In 2016 10th International Conference on Software, Knowledge, Information Management, & Applications (SKIMA) (pp. 134-141). IEEE DOI: https://doi.org/10.1109/SKIMA.2016.7916210
Shava, E., & Hofisi, C. (2017). Challenges and opportunities for public administration in the fourth industrial revolution. African Journal of Public Affairs, 9(9), 203-215
Singh, S. P., & Rana, S. (2013). The impact of performance appraisal on organizational commitment of bank employees. International Journal of Science and Research, 4(4), 2964-2967
Spector, P. E., & Brannick, M. T. (2010). Common method issues: An introduction to the feature topic in organizational research methods. Organizational Research Methods, 13(3), 403-406 DOI: https://doi.org/10.1177/1094428110366303
Styvén, M. E., & Wallström, Å. (2017). Benefits and barriers for the use of digital channels among small tourism companies. Scandinavian Journal of Hospitality and Tourism, 19(1), 27-46 DOI: https://doi.org/10.1080/15022250.2017.1379434
Uma, K. P. (2011). A study on manpower models with univariate and bivariate policies of recruitment. Doctoral thesis, Avinashilingam Deemed University for Women, Coimbatore, Tamil Nadu, India
Vinzi, V. E., Trinchera, L., & Amato, S. (2010). PLS path modeling: From foundations to recent developments and open issues for model assessment and improvement. Handbook of Partial Least Squares: Concepts, Methods and Applications, 47-82 DOI: https://doi.org/10.1007/978-3-540-32827-8_3
Willie, P. A., Connor, D., Sole, J., Forgacs, G., Grieve, R., & Mueller, J. (2017). Human capital challenges in the hotel industry of Canada: Finding innovative solutions. Worldwide Hospitality and Tourism Themes, 9(4), 402-410 DOI: https://doi.org/10.1108/WHATT-04-2017-0020
Wood, J., Oh, J., Park, J., & Kim, W. (2020). The relationship between work engagement and work–life balance in organizations: A review of the empirical research. Human Resource Development Review, 19(3), 240-262 DOI: https://doi.org/10.1177/1534484320917560
Zakria, N. M., Tengku Ismail, T. A., Wan Mansor, W. N. A., & Sulaiman, Z. (2019). Validation of infant and young child feeding questionnaire for the assessment of knowledge, attitudes and practices among childcare providers: The IYCF-CCPQ. International Journal of Environmental Research and Public Health, 16(12), 2147 DOI: https://doi.org/10.3390/ijerph16122147
Zwane, F. N., Du Plessis, L., & Slabbert, E. (2014). Analysing employers' expectations of employee skills in the South African tourism industry. SA Journal of Human Resource Management, 12(1), 1-9 DOI: https://doi.org/10.4102/sajhrm.v12i1.550
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