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| S.No | Particular | Page No. | |
|---|---|---|---|
| 1 |
Dr. Jaideep KaurAbstract: Leadership plays a critical role in shaping workplace behavior, influencing employee engagement, job satisfaction, and ethical conduct. This study examines the impact of various leadership styles on counterproductive work behavior (CWB), which includes workplace deviance, absenteeism, sabotage, and reduced productivity. Using the Leadership Style Questionnaire (Northouse, 2009) and the Counterproductive Work Behavior Checklist (CWB-C) 32-item questionnaire, this research aims to identify which leadership styles contribute to or mitigate CWB. By analyzing the relationship between leadership approaches—such as Authoritarian, Democratic and Laissez-Faire—and workplace deviance, the study seeks to determine the leadership styles most associated with higher instances of CWB. Data from 100 participants reveal that Democratic Leadership significantly reduces CWB (r = -0.287, p = 0.004), while Authoritarian (r = 0.029, p = 0.773) and Laissez-Faire Leadership (r = -0.080, p = 0.428) show no significant impact. The findings highlight the importance of participative leadership in reducing workplace deviance. Organizations should prioritize leadership training programs, employee engagement initiatives, and ethical workplace policies to foster a positive work environment. Future research should explore moderating factors such as workplace culture and job satisfaction to deepen the understanding of leadership’s influence on CWB. |
|
1-13 |
| 2 |
Ramanpreet Singh BhattiAbstract: Artificial Intelligence (AI) is rapidly transforming human resource functions around the world, significantly reshaping recruitment and selection practices. In India, companies across industries—from IT and startups to large conglomerates—are increasingly adopting AI-based tools to enhance efficiency, reduce cost, and improve hiring quality. This paper explores AI’s impact on India’s recruitment landscapes, examining its applications, advantages, challenges, ethical issues, and future directions. Drawing on empirical research, national case studies, and academic literature, the study reveals that while AI substantially improves operational outcomes—such as resume screening and candidate experience—issues like algorithmic bias, fairness, and cultural sensitivity persist. Recommendations for hybrid human-AI approaches and governance frameworks are presented to ensure ethical and inclusive hiring practices in India’s diverse labor market. |
|
18-30 |
| 3 |
Dr.Gaurav Kumar Gupta, Pankaj Tyagi and Dr.Akhilesh UpadhyayAbstract: Sustainable packaging has become a prominent strategic lever for health-oriented brands, where packaging cues influence credence-based evaluations such as safety, authenticity, and perceived healthfulness. Yet consumer response is heterogeneous: eco-packaging can strengthen trust and trigger a green–health halo, while simultaneously provoking skepticism and price-resistance, limiting behavioral conversion. This paper develops a moderated mediation framework linking perceived sustainable packaging (PSP) to purchase behavior via consumer trust and perceived healthfulness, moderated by green skepticism. To ground theory in real-world practice, the study uses a multiple case study approach across three health-oriented brand initiatives: (i) Dove’s refillable deodorant packaging (Unilever), (ii) Danone Actimel’s packaging redesign reducing plastic and improving recyclability, and (iii) Himalaya BabyCare’s packaging revamp aimed at significant plastic reduction. Cross-case synthesis indicates that (1) visible and comprehensible sustainability cues can enhance trust when aligned with product integrity and hygiene expectations; (2) sustainable packaging often functions as a “health signal,” elevating perceived healthfulness especially for wellness categories; and (3) skepticism and affordability constraints shape boundary conditions, particularly when sustainability claims are not paired with clear proof cues. The paper concludes with an empirically testable model and research agenda suitable for SEM/experimental validation.\r\n |
|
31-41 |
