Imad Al Zeer, Mousa Ajouz and Mahmoud Salahat
Considering the importance of employee performance in the changes in state higher education institutions, this study aims to conceptualize the mediating role of employee…
Abstract
Purpose
Considering the importance of employee performance in the changes in state higher education institutions, this study aims to conceptualize the mediating role of employee engagement and empowerment in predicting employee performance.
Design/methodology/approach
The study uses a quantitative survey method to collect data from staff members employed in higher education institutions and applies a partial least squares structural equation modeling to analyze the data. In addition, the study performs a systematic bibliometric analysis of contemporary literature on the factors influencing employee performance.
Findings
The study's results confirm employee engagement and empowerment's critical role in improving employee performance. Unexpectedly, the study also has found no supporting evidence of the relationship between work environment and employee performance. Further, the proposed model explains 51.6% of the variance in employee productivity.
Originality/value
Among the theoretical implications of this study are the importance of introducing new and theoretically sound mediators to explain how the relationship between a higher education institution's employee engagement and empowerment and its employees' performance unfolds.
Details
Keywords
Big data analytics (BDA) plays a crucial role in understanding customer behavior through Customer Relationship Management (CRM), especially in a rapidly changing business…
Abstract
Purpose
Big data analytics (BDA) plays a crucial role in understanding customer behavior through Customer Relationship Management (CRM), especially in a rapidly changing business environment. This paper investigates the direct effect of BDA use on market performance, besides the mediating effect through Big Data-enabled CRM strategies adoption (e.g. customization and personalization). The paper also examines the moderating role of competitive intensity in these effects.
Design/methodology/approach
Drawing from a knowledge-based view (KBV) and Organizational Information Processing Theory (OIPT), the authors formulated the research model. Subsequently, the measurement model and hypotheses were tested through PLS-SEM on online survey data of 229 managers from 167 companies out of Egypt's top 500.
Findings
The results indicated that BDA use does not directly affect the market performance, but this effect was significant through customization and personalization strategies adoption. The results also revealed a positive association between BDA use and the adoption of these strategies. Furthermore, competitive intensity only moderates the relationship between BDA use and personalization strategy adoption.
Research limitations/implications
Companies can use BDA to improve customer knowledge and experience through customization and personalization, leading to better market performance and moving towards becoming a Big Data-driven organization. This study is limited to companies in the Egyptian context, which restricts the generalizability of the results.
Originality/value
This study conceptually and empirically explores how BDA usage, customization and personalization strategies impact market performance under competitive intensity situations, especially in the context of emerging markets.