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This paper integrates research on quiet quitting (a mindset where employees restrict their efforts to their job description) and organizational learning (OL) to illustrate how quiet quitting challenges the sub-processes of OL.

By integrating the existing literature on quiet quitting and OL, this paper identifies and maps the challenges of quiet quitting to the sub-processes of OL, namely, intuiting, interpreting, integrating, and institutionalizing within the 4I framework of Crossan et al. (1999).

This paper conceptually establishes that quiet quitting undermines employees’ cognitive efforts and weakens employees’ contribution to team discussions. Further, quiet quitting undermines suggestion sharing and creates a reluctance to share knowledge, undermining OL.

The paper provides actionable strategies for managers to tackle the challenges of quiet quitting on OL.

To the best of the authors' knowledge, this study is amongst the first to illustrate the challenges of quiet quitting on OL.

Recent research highlights the growing use of anthropomorphizing voice commerce, attributing human-like traits to shopping assistants. However, scant research examines the influence of anthropomorphism on the behavioral intention of shoppers. Therefore, the study examines the mediating role of anthropomorphism and privacy concerns in the relationship between utilitarian and hedonic factors with the behavioral intention of voice-commerce shoppers.

The study employs structural equation modeling (SEM) to analyze responses from 279 voice-commerce shoppers.

Results indicate that anthropomorphizing voice commerce fosters adoption for hedonic factors but not for utilitarian factors. Paradoxically, anthropomorphism decreases shoppers’ behavioral intentions and heightens their privacy concerns.

The cross-sectional survey design serves as a notable limitation of the study. Future researchers can rely on longitudinal designs for additional insights.

Marketers should anthropomorphize voice commerce for hedonic shoppers, not for utilitarian shoppers, and consider implementing customized privacy settings tailored to individual preferences.

The study contributes to academia and management by emphasizing the need to customize anthropomorphic features according to utilitarian and hedonic factors. Furthermore, it highlights the adverse effects of anthropomorphizing voice commerce on shoppers’ behavior, offering policymakers guidance for appropriate regulations.

This study aims to develop a framework for evaluating environmental, social and governance (ESG) factors in the context of commercial banks, addressing the need for a more robust and transparent assessment of ESG subfactors.

Using an integrated multi-criteria decision-making approach, this study uses rough stepwise weight assessment ratio analysis (R-SWARA) to determine the weights of ESG factors, followed by the combined compromise solution (CoCoSo) method to assess the sustainability performance of five major commercial banks. This study involves insights from 15 experts in the banking sector, ensuring a comprehensive understanding of ESG integration.

The research reveals that governance is the most significant ESG factor in the banking sector, followed by social and environmental factors. The CoCoSo method’s results, aligning with the R-SWARA findings, identify the top-performing banks regarding ESG practices, highlighting the importance of robust governance structures for sustainable banking operations.

This study provides a strategic framework for banks to prioritize and implement ESG initiatives effectively. It provides insights into allocating resources toward areas with the most significant impact on ESG performance, thereby enhancing operational efficiency and stakeholder trust.

This study contributes to the existing literature by offering a unique, integrated approach to ESG evaluation in the banking sector, combining the qualitative and quantitative aspects of ESG factors. It addresses the subjectivity issue inherent in ESG evaluation and provides a comprehensive ranking system for ESG factors in commercial banks.