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The purpose of this study is to comprehend the traumatic experiences of intensive care unit (ICU) patients during the COVID-19 pandemic and the impact of the same post-discharge. It assesses the role of nature and open green spaces on the mental health and well-being of critically ill patients.

Using interpretative phenomenological analysis, this study highlights the major factors contributing to adverse mental health and well-being. The subjects were interviewed using semi-structured personal interview techniques. Thematic content analysis was adapted to derive the major themes apparent in the succinctly rich information gathered from the participants.

The findings cast light on the significant role of nature and open green spaces in psychotherapeutic healing post-discharge of intensive care survivors.

The study is novel and adds to the existing literature in an advanced manner. To the best of the author’s knowledge, no other study was witnessed, especially in the Indian context, confirming the relationship between humans and nature with ICU patients as a subset.

The present study is centric on the organic food sector and explores the role of social media in pushing local farmers onto the market shelves. The study is intended to analyse the ground reality of the producers and the innate challenges of the traditional market structure. The study aims to explore the impact of social media in establishing small-scale producers in the organic food sector.

The study is pragmatic in approach and with the help of a semi-structured personal investigation it delves deeper and uses an interpretative phenomenological approach to analyse the anecdotes shared by the subjects.

The study finds that access to social media windows leads to a corresponding jump in the sales and brand image of the producers.

The study is novice and original in approach confirming the impact of social media on local farmers and producers. It showcases the power of social media in leveraging the state of the economy of the marginalised sections.

The present study investigates the antecedents of sharenting, underlying strategies to mitigate the privacy risks of sharing children's personally identifiable information (PII) and majorly explores the relationship between sharenting activities of the parents and their buying behaviour. The study corroborates the previous studies in an advanced manner and adds a new construct “sherub marketing” as an effective marketing tool to impact the buying decisions of the parents.

Following interpretative phenomenological analysis, semi-structured personal interviews were conducted towards actively engaged parents on social media. For inferential analysis, responses of 23 parents were analysed with the help of theoretical thematic analysis

The findings uncover the multifaceted reasons persisting behind sharenting activities of the parents and observe a strong relationship between sharenting and buying behaviour of parents. The study results into exploration of sherub marketing as an effective marketing tool to influence the actions of the sharenters.

The study will be of use to both the practitioners and the society as a whole as it indicates the ramification of parental sharing and the role of marketers in influencing the purchasing decisions of the sharenters.

The present study is a novice and untapped area in the literature of interactive marketing and sheds light on sherub marketing as an effective marketing strategy.

The rapid expansion of artificial intelligence (AI) is progressively reshaping the dynamics of human interaction, communication, lifestyle, education and professional endeavors. The purpose of the study is to comprehend and address the barriers which are impeding the implementation of Generative AI Technologies, such as ChatGPT in the educational landscape.

The study used the Fuzzy analytic hierarchy process (AHP) model to analyze the responses gathered from 149 academicians belonging to the northern states of India.

The study established that the three most important criteria that influence the adoption of generative AI in the education sector are Risk of Academic Integrity, Risk of biased outcomes and Erosion of Critical Thinking.

The present study was confined to Fuzzy AHP to extract the critical criteria influencing the decision-making. Various other techniques such as PF-Delphi and PF-CoCoSo can be used further. The results provide significant inputs for future research to understand the effect of adoption of Generative AI in different contexts including both opportunities and the challenges faced by them.

The study will be beneficial to various stakeholders including students, educators, society and policymakers as the study will highlight the importance of AI tools, introduce the various challenges associated with and explain the use of these tools as productivity-enhancing tools.

To the best of the author’s knowledge, the present study is a novice as the use of AI in Academia is unexplored and the major criteria influencing the choices have yet been undiscovered.

This paper analyzes the effect of circular economy practices on firm performance for a circular supply chain and explores the moderating role that big-data-driven supply chain plays within these relationships.

This study uses data collected through an online survey distributed to managers of 378 Italian firms that have adopted circular economy principles. The data are processed using multiple regression analysis.

The results indicate that the three categories of circular economy practices investigated – namely circular economy supply chain management design, circular economy supply chain relationship management and circular economy HR management – play a crucial role in enhancing firm performance from a circular economy perspective. A big-data-driven supply chain acts as a moderator of the relationship between circular economy HR management and firm performance for a circular economy supply chain.

This study makes a number of original contributions to research on circular economy practices in a big-data-driven supply chain and provides useful insights for practitioners. First, it answers the call to capture digital transformation trends and to extend research on sustainability in supply chain management. Second, it enhances the literature by investigating the relationships between three different kinds of circular economy supply chain practices and firm performance. Finally, it clarifies the moderating role of big data in making decisions and implementing circular supply chain solutions to achieve better environmental, social and economic benefits.