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The purpose of this study is to reveal important insights by examining the relationships of two different field managers’ monitoring styles with performance through salespersons’ engagement.

Data was collected from 318 salespersons’ from 20 pharmaceutical firms. Given the performance-driven nature of the pharmaceutical sales profession, field managers seek to adopt the best monitoring style, which can optimize individual’s performance while providing a healthy work environment.

The results from multivariate analysis show the evidence of positive relationship between interactional monitoring and salespersons’ engagement. The results also confirm that engagement partially mediates the proposed relationships.

Authors assimilate and extend research and theory on field managers’ monitoring, salespersons’ performance and salespersons’ engagement to advance a model of salespersons’ reactions to different monitoring styles based on self-determination theory. Perhaps in no other field, the salespersons-field managers’ relationship is as important as in the field of pharmaceutical selling. The study offers insights about the important consequence of two different monitoring styles; also the study is one of the exceptional efforts to provide evidence regarding the role of engagement in the relationship between two different monitoring styles and salespersons’ performance.

In hypercompetitive markets, retail brands should fuel their sales employees’ to responsively serve customers. In connection, the study aims to unpack the direct and indirect, via psychological flourishing, the role of inclusive leadership in paving the path for retail salesperson adaptive selling behaviour. Additionally, the study also empirically investigates the moderating role of work centrality to offer critical insights for effective managerial interventions.

Drawing upon conservation of resource theory to test the nexuses of the model, time-lagged survey data were collected from 313 retail salespersons from the leading retail brands. Data were analyzed using the bootstrapping method.

Results revealed the direct positive association between inclusive leadership and adaptive selling behaviour and indirect association via psychological flourishing. Furthermore, the direct association between inclusive leadership and adaptive selling becomes more pronounced for employees high on work centrality.

Findings can help retail brands to enhance adaptive selling behaviour, which enables them to provide efficient solutions and gain sustainable competitive advantage.

The study offers several important contributions to the sales literature by establishing the direct and indirect link between inclusive leadership and adaptive selling via psychological flourishing. Moreover, the result of the interaction effect highlights the critical aspects of work centrality in the retail sales context.

Planning for Jaipur City in Rajasthan, north-western India, which was added to the World Heritage List in 2019, considers the surrounding hills and water systems. Rapid urbanisation is currently placing strain on the area, and natural resources and city green spaces are deteriorating. A multidisciplinary team of academicians, researchers and practitioners was assembled under the Heritage Place Lab (HPL) initiative with the aim of developing a research agenda to complement the city's Special Area Heritage Plan (SAHP) that is currently in development.

Given the complicated urban structure of Jaipur, an interdisciplinary approach involving experts from various fields and engagement from all levels of the city's stakeholders was necessary. The partnership proceeded following the parameters provided under the HPL to jointly build a research agenda focussing on the management challenges of the World Heritage Site.

The co-produced research programme narrowed its initial emphasis on documenting of the natural heritage of the city to reflect the functions it served in a social setting. It was also revealed that the conflicting nature of activities within the World Heritage Site is caused by overlapping jurisdictions of several administrative and legislative components.

Jaipur, examined here by an interdisciplinary Research-Practice Team, provides a valuable and unique case study for heritage management, particularly given that most historic cities in India are facing comparable concerns surrounding urbanisation with rising pressures on natural resources.

This study aimed to determine whether the brand image of fast-food restaurants moderates the relationship between satisfaction and loyalty among Chilean customers.

The study was conducted using a structural equation modeling approach and involved a sample of 1,000 fast-food customers who were surveyed through nonprobabilistic sampling with a questionnaire consisting of 21 items. The instrument underwent validation by a panel of experts, and the results obtained were processed using the statistical software Smart PLS4. Convergent validity, discriminant validity and the structural model were tested to assess the acceptance or rejection of the proposed hypotheses.

The results of the research indicate that product quality, service quality and physical environment are crucial factors influencing customer satisfaction and shaping customer loyalty. However, it was found that brand image does not moderate the relationship between satisfaction and loyalty in fast-food consumption.

The present study contributes to the field of knowledge on fast-food consumption behavior and unveils findings that help fill knowledge gaps regarding the influence of restaurant brand image on the relationship between satisfaction and consumption loyalty. Thus, it demonstrates that, for certain customers, the brand becomes an irrelevant factor for their consumption loyalty as long as the restaurant offers product quality, excellent service and a pleasant physical environment.

Robotic Process Automation (RPA) is a digital transformation tool that demonstrated tremendous growth in research output as well as its application in the past decade. This study attempts to identify essential research gaps and proposes future research agendas in the field by analyzing publishing trends, major stakeholders (authors, countries, affiliations, journals), key clusters and evolving themes by mapping the most recent research (2016–2022) in the field.

Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) was used to retrieve a total of 244 publications from the Web of Science (WOS) database for this analysis. The study then uses the open-source R program bibliometrix to conduct bibliometric analysis. A variety of tools and methods including collaboration network, word dynamics, co-occurrence network, thematic map and strategy map were utilized.

The analysis reveals the most influential stakeholders (country: the USA, author: Arai K, affiliation: Christ Deemed University), main clusters of intellectual structure (process mining, digital transformation, blockchain, information systems) and the evolution of themes (model innovation, artificial intelligence, big-data, design science and user acceptance) in the subject.

This study uses bibliometric analysis to provide a comprehensive overview of RPA literature which unravels the conceptual structure of the stream and proposes a research agenda for the future. Based on the growth of themes and the strategy map, this study may assist entrepreneurs and practitioners in determining field priorities for strategizing process innovation.

The main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various aspects of green and sustainable supply chains (SSCs).

The present study conducts a systematic literature review (SLR) and bibliometric analysis of 252 research articles. This study employs various tools such as VOSviewer version 1.6.10, Publish or Perish, Mendeley and Excel that aid in descriptive analysis, bibliometric analysis and network visualization. These tools have been used for performing citation analysis, top authors' analysis, co-occurrence of keywords, cluster and content analysis.

The authors have divided the literature into seven application areas and discussed detailed insights. This study has observed that research in the social sustainability area, including various issues like health and safety, labor rights, discrimination, etc. is scarce. Integration of the Industry 4.0 technologies like blockchain, big data analytics, Internet of Things (IoT) with the sustainable and green supply chain (GSC) is a promising field for future research.

The authors' contribution primarily lies in providing the integrated framework which shows the changing trends in the use of fuzzy methods in the sustainability area classifying and consolidating green and sustainable supply chain management (SSCM) literature in seven major areas where fuzzy methods are predominantly applied. These areas have been obtained after the analysis of clusters and content analysis of the literature presenting key insights from the past and developing the conceptual framework for future research studies.