Purpose: The objective of this research study is to know the association between employee engagement level and its drivers; and to study relationship between demographic variables and drivers of engagement along with level of employee engagement.
Design/methodology/approach: This Correlational study, employed convenience sampling technique i.e. non probability sampling method to select the sample consisted of 325 employees of Fertilizers and Chemicals Travancore (FACT) Ltd, Kerala from India. And data were collected using surveys and were analyzed using ANOVA, factor analysis, and multiple correlations.
Results: Factor analysis has identified the six key drivers of employee engagement which is proposed in USAID Health Care Project. Correlation study analyzed relationship between the employee engagement level and demographic factors; employee engagement and its predictors. Increase support and recognition, belief in ability to succeed and belief in job and organization are highly correlated with employee engagement level.
Conclusion: The study supports that the employee engagement level relies mainly on the practices of support (motivational) and recognition, belief in ability to succeed and belief in job and organizational.
Paper Type: Research
Key words: Engagement, Employee engagement, Engagement drivers.
Supply chain risk management has drawn tremendous attention from academic researchers and practitioners in the recent period. Several attempts were made by the practitioners and academicians to understand supply chain risks and their sources. As the supply chain environment is getting sophisticated day by day, the understanding of supply chain becomes increasingly challenging and need of the hour. This empirical paper attempts to understand the sources of supply chain risk and its effect on supply chain demand management. Survey instrument was administered to collect response from the manufacturing companies in India. Data was analysed with the help of PLS and SmartPLS 2.0 M3 was utilised to compute PLS. The result shows that the variables like supply management capability, supply chain information management and supply chain environmental uncertainty management capability are having positive impact on supply chain risk as well as on supply chain demand management. These findings will provide various insights for the practitioners and be used as a knowledge repository in the area of supply chain risk management.
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