Impact of digitalization on the attractiveness of employee recruitment and retention in Moroccan companies
-
DOIhttp://dx.doi.org/10.21511/ppm.20(3).2022.02
-
Article InfoVolume 20 2022, Issue #3, pp. 12-27
- 915 Views
-
335 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The relevant evolution of social networks and the expansion of digitalization has led to significant changes in the classical processes used by Moroccan companies in different fields such as marketing, human resources management, etc. This paper investigates the effects of digitalization on the attractiveness of Moroccan companies in terms of recruitment and safeguarding these constructs by using structural equation models according to the PLS approach. The study was carried out to touch 74 companies in different sectors. The study showed positive relationships between management support, digitalization, and recruitment performance (defined as the attractiveness of a company for recruitment and federalization of employees). The results show that the T-statistics are equal to 67.55, 6.862, and 5.941, respectively. The Q² value is 0.884 for scanning and 0.937 for performance, which means that the model is predictive in nature. The GoF is 1.388, which means that model is sufficiently large for the overall validity of the PLS model. While jobseeker behavior and competitive intensity did not affect recruitment performance because the test T-statistics is less than 1.64, the two factors have no moderating effect as the p-values are 0.228 and 0.082, respectively, exceeding the threshold of 0.05.
- Keywords
-
JEL Classification (Paper profile tab)C51, L25, M15
-
References51
-
Tables12
-
Figures3
-
- Figure 1. Research framework
- Figure 2. Measurement models, factor loadings, and coefficient values
- Figure 3. Direct relationships from the bootstrap
-
- Table 1. Item definitions
- Table 2. Fornell and Larcker criterion
- Table 3. Determining BETAs and test results
- Table 4. R2-values
- Table 5. Specific indirect effects
- Table 6. Moderating effect of the behavior of jobseekers
- Table 7. Moderating effect of competitive intensity
- Table B1. Discriminant validity – cross-loading
- Table B2. Fk2 values
- Table B3. GoF calculation element
- Table B4. Total effects
- Table B5. Lower leverage and upper leverage
-
- Bagozzi, R. P. (1980). Causal Models in Marketing. New York: Wiley.
- Bhanugopan, R., Aladwan, K., & Fish, A. (2013). A structural equation model for measuring human resource management practices in the Jordanian organisations. International Journal of Organizational Analysis, 21(4), 565-587.
- Borau, S., Akremi, A. E., Elgaaied-Gambier, L., Hamdi-Kidar, L., & Ranchoux, C. (2015). L’analyse des effets de médiation modérée. Recherche et Applications en Marketing, 30(4), 88-128. (In French).
- Boudi, Y., & Qachar, A. (2018). L’usage des médias sociaux dans les pratiques du management des ressources humaines: E-recrutement. Moroccan Journal of Entrepreneurship, Innovation and Management (MJEIM), 3(2). (In French).
- Chae, H.-C., Koh, C. E., & Prybutok, V. R. (2014). Information Technology Capability and Firm Performance: Contradictory Findings and Their Possible Causes. MIS Quarterly, 38(1), 305-325.
- Chavey, D. (2010). Applying organisational capabilities models to access the maturity of digital marketing governance. Journal of Marketing Management, 26(3-4), 187-196.
- Chin, W. W. (1995). Partial Least Squares Is To LISREL As Principal Components Analysis Is To Common Factor Analysis. Technology Studies. Technology Studies, 2(2), 315-319.
- Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295-336). Mahwah, NJ: Lawrence Erlbaum
- Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307-341). Thousand Oaks: CA: Sage Publications
- Davcik, N. S. (2014). The use and misuse of structural equation modeling in management research: A review and critique. Journal of Advances in Management Research, 11(1), 47-81.
- Deltour, F., & Lethiais, V. (2014). L’innovation en PME et son accompagnement par les TIC: quels effets sur la performance? Systèmes d’information management, 19, 45-73. (In French).
- Derquenne, C., & Hallais, C. (2004). Une méthode alternative à l’approche PLS: comparaison et application aux modèles conceptuels marketing. Revue de Statistique Appliquée, 52(3), 37-72. (In French).
- Ekanayaka, E. M. M. S., & Gamage, P. (2019). Factors Influencing Job Seeker’s Intention to Use E-Recruitment: L Evidence from a State University in Sri Lanka. International Journal of Managerial Studies and Research (IJMSR), 7(8), 1-12.
- El Ouizgani, I. (2020). E-Recrutement au Maroc: outil à impact positif ou mode surestimée? (Etude de cas multiples auprès de cabinets de conseil RHà Marrakech). The Journal of Social Sciences and Organization Management, 1(1). (In French).
- Faliagka, E., Ramantas, K., Tsakalidis, A., Viennas, M., Kafeza, E., & Tzimas, G. (2011). An Integrated E-Recruitment System for CV Ranking Based on AHP. In Proceedings of the 7th International Conference on Web Information Systems and Technologies – WEBIST (pp. 147-150).
- Fernandes, V. (2012). En quoi l’approche PLS est-elle une méthode à (re)-découvrir pour les chercheurs en management? M@n@gement, 15(1), 101-123. (In French).
- Fong, C., Ooi, K., Tan, B., Lee, V., & Yee-Loong Chong, A. (2011). HRM practices and knowledge sharing: an empirical study. International Journal of Manpower, 32(5/6), 704-723.
- Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.
- Galanaki, E. (2002). The Decision to Recruit Online: A Descriptive study. Career Development International, 7(4), 243-251.
- Gardner, W. L., Cogliser, C. C., Davis, K. M., & Dickens, M. P. (2011). Authentic Leadership: A review of the literature and research agenda. The Leadership Quarterly, 22(6), 1120-1145.
- Germann, F., Lilien, G. L., & Rangaswamy, A. (2013). Performance implications of deploying marketing analytics. International Journal of Research in Marketing, 30(2), 114-128.
- Giantari, I., Yasa, N., Suprasto, H., & Rahmayanti, P. (2022). The role of digital marketing in mediating the effect of the COVID-19 pandemic and the intensity of competition on business performance. International Journal of Data and Network Science, 6(1), 217-232.
- Haenlein, M., & Kaplan, A. M. (2004). A Beginner’s Guide to Partial Least Squares Analysis. Understanding Statistics, 3(4), 283-297.
- Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121.
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135.
- Höck, M., & Ringle, C. M. (2006). Local strategic networks in the software industry: An empirical analysis of the value continuum. International Journal of Knowledge Management Studies, 4(2).
- Jöreskog, K. G., & Wold, H. (1982). The ML and PLS Techniques for Modeling with Latent Variables: Historical and Comparative Aspects. In H. Wold & K. Jöreskog (Eds.), Systems Under Indirect Observation: Causality, Structure, Prediction (pp. 263-270). Amsterdam: North-Holland.
- Juera, W. B. (2020). Structural Equation Model on Job Performance Among Personnel of Hotels in Caraga Region. The International Journal of Business Management and Technology, 4(3).
- Kamalasaravanan, S. (2019). A Study on the Effectiveness of Job Portal and Networking Sites Recruitment. International Journal of Exclusive Management Research (IJEMR), 9(1).
- Kannan, P., & Hongshuang, L. A. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34, 22-45.
- Khan, N. R. (2010). Online job portals. Business Recorder
- Lacroux, A. (2010). L’analyse des modèles de relations structurelles par la méthode PLS: une approche émergente dans la recherche quantitative en GRH. XXème congrès de l’AGRH. Toulouse. (In French).
- Lievens, F., & Harris, M. M. (2003). Research on Internet Recruitingand Testing: Current Status and Future Directions. In C. L. Cooper & I. T. Robertson (Eds.), International Review ofIndustrial and Organisational Psychology. John Wiley & Sons.
- Morgan, N. A. (2012). Marketing and business performance. Journal of the Academic Marketing Science, 40, 102-119.
- Olomu, M. O., & Irefin, I. A. (2016). E-marketing adoption and performance in the Nigerian paints industry. International Journal of Economics, Commerce and Management, 4(2), 235-252.
- Piening, E. P., Baluch, A. M., & Salge, T. O. (2013). The relationship between employees’ perceptions of human resource systems and organizational performance: Examining mediating mechanisms and temporal dynamics. Journal of Applied Psychology, 98(6), 926-947.
- Preacher, K. J., & Hayes, A. F. (2008). Contemporary approaches to assessing mediation in communication research. In A. F. Hayes, M. D. Slater, & L. B. Snyder (Eds.), The Sage sourcebook of advanced data analysis methods for communication research (pp. 13-54). Sage Publications, Inc.
- Rafiq, Q. A., Brosnan, K. M., Coopman, K., Nienow, A. W., & Hewitt, C. J. (2013). Culture of human mesenchymal stem cells on microcarriers in a 5l stirred-tank bioreactor. Biotechnology Letters, 35, 1233-1245.
- Sheikh, A. A., Rana, N. A., Aneeq I., Arfan S., Awan, H. M., & Wright, L. T. (rev. ed.). (2018). Is e-marketing a source of sustainable business performance? Predicting the role of top management support with various interaction factors. Cogent Business Management, 5(1), 1516487.
- Sylva, H., & Mol, S. T. (2009). E-recruitment: A study into applicant perceptions of an online application system. International Journal of Selection and Assessment, 17(3), 311-323.
- Thielsch, M. T., & Hirschfeld, G. (2012). Spatial frequencies in aesthetic website evaluations – explaining how ultra-rapid evaluations are formed. Ergonomics, 55(2012), 731-742.
- Trainor, K., Rapp, A., Beitelspacher, L. S., & Schillewaert, N. (2011). Integrating information technology and marketing: An examination of the drivers and outcomes of e-Marketing capability. Industrial Marketing Management, 40(1), 162-174.
- Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration. MIS Quarterly, 33(1), 177-195.
- Wold, H. (1973). Non-linear iterative partial least squares (NIPALS) modelling. Some current developements. In P. R. Krishnaiah (Ed.), Multivariate Analysis (III vol.) (pp. 383-407). New York: Academic Press.
- Wold, H. (1975). Soft modeling by latent variables: The Non–Linear Iterative Partial Least Squares (NIPALS) approach. Journal of Applied Probability, 12(S1), 117-142.
- Wold, H. (1980a). The fix-point approach to interdependent systems. Amsterdam: North Holland.
- Wold, H. (1980b). Model construction and evaluation when theoretical knowledge is scarce. In J. Kmenta & J. B. Ramsey (Eds.), Evaluation of econometric models (pp. 47-74). Academic Press.
- Wold, H. (1985). Partial Least Squares. In S. Kotz & N. L. Johnson (Eds.), Encyclopedia of Statistical Sciences (6th vol.) (pp. 581-591). New York: John Wiley Sons.
- Wold, H. O. (1982). Soft modeling: The basic design and some extensions. In K. G. Jöreskog & H. O. Wold (Eds.), Systems Under Indirect Observations, Part II (pp. 1-54). Amsterdam: North-Holland.
- Zhou, L. L., Ayegba, J. O., James, P. M., Ayegba, E. O., Zhang, X. J., & Kachie, A. D. T. (2020). Nexus between Product Innovation and Enterprise Survival: Impact of Competitive Intensity and Competitive Advantage. Preprints, 2020050497.
- Zhu, K., Kraemer, K. L., & Xu, S. (2006). The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Busines. Management sciences, 52(10), 1557-1576.