Oamen, Theophilus Ehidiamen
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Are There Differences in Perception of Predictors of Satisfaction with Work Among Pharmaceutical Executives? A WarpPLS Multigroup Assessment Oamen, Theophilus Ehidiamen; Ihekoronye, Maduabuchi Romanus
Management Analysis Journal Vol 11 No 4 (2022): Management Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/maj.v11i4.58987

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.
TECHNOLOGY ACCEPTANCE MODEL (TAM) FOR PHARMACEUTICAL MARKETING EXECUTIVES: VALIDATION AND IMPLICATIONS FOR HUMAN RESOURCE MANAGEMENT OAMEN, Theophilus Ehidiamen
Jurnal Aplikasi Manajemen Vol. 21 No. 4 (2023)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jam.2023.021.04.02

Abstract

The technology acceptance model (TAM) is a popular measure of user adoption and acceptance of technology. The pharmaceutical marketing industry has largely incorporated technology-based applications to enhance operational efficiency, effectiveness, and client engagement in the past decade. No study has explored user acceptance by pharmaceutical executives in the context of technology's impact on performance. The study aims to explore the relationship between perceived ease of use (PEOU), perceived usefulness (PU), and behavioral intention (BIU) in the context of the perceived impact of technology on performance (TechIMP). Hypotheses were tested using factor-based structural equation modeling. A random sample of 282 marketing executives was drawn from pharmaceutical companies in Nigeria using an online questionnaire. The developed model provided acceptable measures of fit and validity. Significant positive relationships exist between PEOU, PU, and BIU, explaining 58% of the variance in TechIMP. PEOU had a stronger impact on BIU compared to PU. BIU was a significant link between PEOU and PU to TechIMP. Multigroup analysis showed key differences between male and female executives. The study adds to the existing literature by extending TAM to include TechIMP. Managers should enhance positive user perception and acceptance by engaging in simulated training before introducing new technology and ensuring flexibility of technology use.