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The purpose of this paper is to study if trust on team members and leaders leads to an experience of civil behavior in the workplace or reduced incivility at the workplace. The study was conducted on women employees and therefore termed as selective incivility.

In the study, the relationship between team trust and leader trust was the antecedent variables and general well-being was the consequent variable. Civil behavior in the workplace was the mediating variable. The research was conducted on 228 working women in different sectors of the Indian organization. Trust (in leaders and on teams) and general well-being were measured by established scales. Selective incivility scale was developed based on the qualitative inputs from working women. Data were analysed on SPSS and AMOS version 20.

The study showed that trust (between leader and subordinates and among team members) led to an experience of civil behavior at workplace, and experience of civil behavior led to an experience of general well-being.

This research has contributed to both theoretical and managerial aspects. On the theoretical front, this research has emphasized the role of trust in building a civil environment in the workplace. On the managerial front, it has contributed to showing how low incivility encourages inclusivity and maintains the general well-being of employees, and therefore advocates the practice of civil behavior.

The study is relevant in managing politics at workplace. With an environment of trust, the insecurity and doubt in the minds of employees are reduced. This leads to higher well-being of employees. In the modern times, workplaces are becoming more diverse. There are not only gender differences but also differences in age, sexual orientation and persons with disabilities. Presence of low incivility can go a long way in encouraging an inclusive workplace. It is thus relevant in managing workplace diversity and for creating a more inclusive environment.

Diverse workplace constituting women and minority race have experienced more workplace incivility (Cameron and Webster, 2011). Also, presence of higher percentage of men in the workforce composition enhanced incivility toward women (Trudel and Reio, 2011). As the paper indicates that low incivility leads to general well-being, it also tries to point out that overall health of organization also improves. It should not be ignored that it is not only the employee who is exposed to incivility who gets affected but also the other employees who are witness to such situation.

This study investigates the mediating effect of civil behavior at the workplace between trust, both team member and leader, and general well-being.

This research aims to analyze the literature on Quality 4.0 and pinpoint the essential factors contributing to its success. Additionally, the research aims to develop a framework that can be used to create a capable workforce necessary for the successful implementation of Quality 4.0.

By following a systematic approach, the authors could ensure that their literature review was comprehensive and unbiased. Using a set of pre-determined inclusion and exclusion criteria, the authors screened 90 research articles to obtain the most relevant and reliable information for their study.

The authors' review identified essential findings, including the evolution of literature in the field of Quality 4.0 and the systematization of previous literature reviews focusing on training and development. The authors also identified several training barriers to implementing Quality 4.0 and proposed a model for building a competent workforce using Kolb's experiential learning model.

The authors' research offers insights into the training barriers that must be considered when building a competent workforce. Using the framework proposed in the authors' research, consultants and managers can better integrate Quality 4.0 into their organizations.

The adoption of Quality 4.0 has significant social implications and is essential for advancing sustainability. It can improve efficiency, reduce waste, minimize environmental impacts and better meet the needs and expectations of stakeholders.

The authors' study stands out as one of the earliest reviews of the literature on Quality 4.0 to incorporate the theory-context-method (TCM) framework, allowing to provide unique insights into future research directions that had not been previously explored.

This study aims to identify the product attributes that influence customer satisfaction related to AI-enabled products with a strong forecast of growth. This study is very timely as the market for AI-based smart home products is still at a nascent stage in emerging economies (Vaishali Dar, 2021). Adding evidence to literature on the experience of customers, identifying the attributes that lead to customer satisfaction and those that lead to dissatisfaction are essential for products that were launched recently during the pandemic. This study makes valuable addition to the existing literature.

Online reviews (12,326 reviews) for EchoDot products launched by Amazon India during the pandemic were collected for the study. The attributes were identified based on the most frequently discussed attributes in the text reviews. Further review valence was determined to group the reviews under positive reviews indicating customer satisfaction and negative reviews indicating customer dissatisfaction. Logistic regression was used to identify the attributes that significantly impact customer satisfaction/dissatisfaction.

The results of the study indicate that while EchoDot is seen to add value to the smart home environment (home variable), video (video variable) and speaker (speaker variable) quality also contribute to customer satisfaction. Further, consumers found the product truly worth their money (value for money variable). Other attributes like a complaint about Bluetooth features are seen to increase the probability of customer dissatisfaction.

This study identifies the most important attributes that influence customer satisfaction in AI-enabled product sales on e-commerce platforms in pandemic times for India. Such studies are scarce in the emerging markets where the AI-based home appliance market is still in its nascent stage, and the customers are trying out their experiences with these products. What the customers expect and are these products fulfill these expectations is an important question that needs to be addressed by research. This study addresses this gap and adds to this literature.