Purpose: The present study is an attempt to explore the antecedents of behavioral intention to use artificial intelligence (AI) in recruiting talents by the HR professionals in Bangladesh. Drawing on the principle of the unified theory of acceptance and use of technology (UTAUT), which was built on the premise of technology acceptance model, the theory of planned behavior, the theory of reasoned action, and so forth, the current study has been conducted in the context of Bangladesh. Method: Building on the understanding of the deductive reasoning approach, the investigation followed the positivism paradigm via a quantitative research strategy. We collected 226 replies from the end-users of AI through a self-administrative survey. We used structural equation modeling (SEM) via SmartPLS. Results: Henceforth, the results in the findings filmed that all the hypotheses were supported. Implications: One of the important implications of the present study is the use of the intervention mentioned in this study for the manufacturing and service firms. Limitation: The major limitation is the use of cross-sectional data which implies that future research must use both cross-sectional and longitudinal data for the generalizability of the observed findings.
Purpose: The study aims to evaluate the impact of emotional intelligence (EI) on the sustainable leadership of managers in the context of Bangladesh. Emotional intelligence is made up of five components, viz. self-awareness, self-regulation, motivation, empathy, and social skills. Methods: This is a quantitative study based on survey data. Data were collected from the managers (n=262) working in different organizations located in Dhaka and Chittagong region by using the convenience sampling technique. EI was measured with 30 items adopted from the EQ Index (Rahim et al., 2002, 2006), while sustainable leadership was measured with 15 items adopted from the SLQ (McCann & Holt, 2010). PLS-SEM was applied to analyze the data and evaluate the measurement and structural models. Results: The findings suggest that managers’ emotional intelligence significantly influences sustainable leadership. Originality: This study is a pioneering study in the context of Bangladesh and it contributes to our understanding of the impact of emotional intelligence on sustainable leadership, which in turn, enhances managers' sustainable performance. Limitations: The use of the convenience sampling technique may limit the generalizability of the findings.
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