Awan, A., & Tahir, M. (2015). Impact of working environment on employee’s productivity: a case study of banks and insurance companies in Pakistan. European Journal of Business and Management. 7(1):329-345
Arimie, C. J. (2019). Employer-employee relations and employee engagement in a tertiary institution in Benin City, Edo State. Annals of Management and Organization Research. 1(10): 9-24. https://doi.org/10.35912/amor.v1i1.199
Berthon, P., Ewing, M., & Hah LL. (2005). Captivating company: dimensions of attractiveness in employer branding. International Journal of Advertising. 24(2): 151-172
Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: The Guilford Press.
Cohen, J. (1988). Statistical Power Analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers.
Davidescu, A. A., Apostu, S-A., Paul, A., & Casuneanu, I. (2020). Work Flexibility, Job Satisfaction, and Job performance among Romanian Employees-Implications for Sustainable Human Resource Management. Sustainability. 12:6086. https://doi.org/3390/su12156086
Duru, C. E., & Shimawua, D. (2017). The effect of work environment on employee productivity: a case study of Edo City Transport services, Benin City, Edo State, Nigeria. European Journal of Business and Innovation Research. 5(5): 23-39
Hair, J. F., Hult, G. T., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles., CA: Sage.
Holdford, D. A. (2017). Understanding Business Model in Pharmacy Schools. American Journal of Pharmacy Education. 81(5):82. https://doi.org/10.5688/ajpe81582
Holdford, D. A. (2021). Perspectives on the pharmacist’s ‘’product’’: a narrative review. Pharmacy Practice. 19(2): 2430. https://doi.org/10.18549/PharmPract.2021.2.2430
Inegbenebor, A. U. (2007). Pharmacists as Entrepreneurs or Employees? The role of locus of control. Tropical Journal of Pharmaceutical Research. 6(3): 742-754
Kalliath, P., Kalliath, T., Chan, X. C., & Chan, C. (2018). Linking work-family enrichment to job satisfaction through job well-being and family support: a moderated mediation analysis of social workers across India. British Journal of Social Work. 18:1-22
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York, NY: The Guilford Press
Kock, N. (2019). From composites to factor: Bridging the gap between PLS and covariance-based structural equation modeling. Information Systems Journal. 29(3): 674-706
Kock, N. (2020). WarpPLS User Manual: Version 7.0. Laredo. TX. ScripWarp Systems.
Kock, N. (2015). Common method bias in PLS-SEM: a full collinearity assessment approach. International Journal of e-Collaboration. 11(4):1-10
Kock, N., & Hadaya. (2018). Minimum sample size estimation in PLS-SEM: the inverse square root and gamma-exponential methods. Information Systems Journal. 28(1):227-261
Kock, N. (2010). Using WarpPLS in e-collaboration studies: An overview of five main analysis steps. International Journal of e-Collaboration (IJeC). 6(4):1-10. https://doi.org/10.4018/jec.2010100101.
Kock, N. (2011). Using WarpPLS in e-Collaboration studies: Mediating effects, control and second-order variables, and algorithm choices. International Journal of e-Collaboration (IJeC). 7(3):1-13
Maan, A. T., Abid, G., Butt, T. H., Ashfaq, F., & Ahmed, S. (2020). Perceived organizational support and Job satisfaction; a moderated mediation model of proactive personality and psychological empowerment. Future Business Journal. 6;21
Nguyen, M. H., Luan, N. V., & Khoa, B. T. (2021). Employer attractiveness and employee performance: an exploratory study. Journal of System and Management Sciences. 11(1): 97-123. https://doi.org/10.33168/JSMS.2021.0107
Osborne, S., & Hammoud, M. S. (2017). Effective Employee Engagement in the Workplace. International Journal of Applied Management and Technology. 16(1): 50-67. https://doi.org/10.5590/IJAMT.2017.16.1.04
Oamen, T. E. (2021). Analysis of factors influencing pharmaceutical sales workforce engagement in pharmaceutical marketing in Nigeria: a structural equation modeling approach. Global Journal of Pure and Applied Sciences. 27(4):405-410
Oamen, T. E., & Omorenuwa, S. O. (2021). The nexus of perceived organizational support, job satisfaction, and job motivation on turnover intentions of pharmaceutical sales executives using structural equation modeling. Global Journal of Management and Business Research. 21(9). https://doi.org/10.34257/GJMBRAVOL21S9PG45
Ogueyungbo, O. O., Chinonye, L. M., Igbinoba, E., Salau, O., Falola, H., & Olokundun, M. (2020). Organizational learning and employee engagement: The mediating role of supervisory support. Cogent Business. 7(1):1816419. https://doi.org/10.1080/23311975.2020.1816419.
Parvin, M. M., & Kabir, M. M. (2011). Factors affecting employee job satisfaction in the Pharmaceutical Sector. Australian Journal of Business and Management Research. 1(9): 113-123
Pituch, K. A., & Stevens, J. P. (2016). Applied Multivariate Statistics for the social sciences (6th Edition). New York: Routledge
Raziq, A., & Maulabakhsh, R. (2015). Impact of working environment on job satisfaction. Procedia Economics and Finance. 23(2015):717-725
Sarstedt, M., Ringle, C. M., Sith, D., Reams, R., & Hair, Jr. J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy. 5: 105-115. https://doi.org/10.1016/j.jfbs,2014.01.002.
Taheri, R. H., Miah, S., & Kamaruzzaman. (2020). Impact of working environment on job satisfaction. European Journal of Business and Management Research. 5(6):1-5
Vandenabeele, W. (2014). Explaining public service motivation: the role of leadership and basic needs satisfaction. Review of Public Personnel Administration. 34:153-173. https://doi.org/10.1177/0734371x14521458
Wong, K. K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin. 24:1-32
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Affiliations
Theophilus Ehidiamen Oamen
Department of Business Management, Texila American University, Guyana
Maduabuchi Romanus Ihekoronye
Department of Clinical Phamacy and Pharmacy Administration, Obafemi Awolowo University, Ife, Nigeria
How to Cite
Are There Differences in Perception of Predictors of Satisfaction with Work Among Pharmaceutical Executives? A WarpPLS Multigroup Assessment
Vol 11 No 4 (2022): Management Analysis Journal
Submitted: Aug 1, 2022
Published: Dec 22, 2022
Abstract
Pharmaceutical sales executives are an essential human resource workforce in medicine supply. These executives come from diverse demographic groupings, which may influence their perceptions and feelings about work engagement (WE) and employer responsiveness (EPR), and consequently influence satisfaction with work (SW). The study aimed to evaluate group differences in the hypothesized influence of WE and EPR on SW. An online questionnaire was administered to a random sample of 369 pharmaceutical executives in Nigeria. Composite-based partial least squares structural equation modeling (PLS-SEM) in WarpPLS software provided the multigroup analysis framework to investigate these hypothesized differences at p<0.05. The overall model revealed adequate model fit and quality with high predictive relevance. WE positively influenced EPR (β=0.592, p<0.001, strong effect ƒ²=0.350) and SW (β=0.519, p<0.001, moderate effect ƒ²=0.298). EPR positively influenced SW (β=0.101, p=0.025, small effect ƒ²=0.041). Non-pharmacist respondents compared to pharmacists had a higher path coefficient in WE influencing SW (β=0.564 vs. β=0.359, p=0.035). Group differences in gender and type of pharmaceutical company were not significant. Participants were more concerned about optimal work situations than having positive or negative feelings about work. The study suggests that non-pharmacist executives show greater adaptability and higher engagement with work, and hence were better satisfied at work.