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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.

There is a need to predict whether the consumers liked the stay in the hotel rooms or not, and to remove the aspects the customers did not like. Many customers leave a review after staying in the hotel. These reviews are mostly given on the website used to book the hotel. These reviews can be considered as a valuable data, which can be analyzed to provide better services in the hotels. The purpose of this study is to use machine learning techniques for analyzing the given data to determine different sentiment polarities of the consumers.

Reviews given by hotel customers on the Tripadvisor website, which were made available publicly by Kaggle. Out of 10,000 reviews in the data, a sample of 3,000 negative polarity reviews (customers with bad experiences) in the hotel and 3,000 positive polarity reviews (customers with good experiences) in the hotel is taken to prepare data set. The two-stage feature selection was applied, which first involved greedy selection method and then wrapper method to generate 37 most relevant features. An improved stacked decision tree (ISD) classifier) is built, which is further compared with state-of-the-art machine learning algorithms. All the tests are done using R-Studio.

The results showed that the new model was satisfactory overall with 80.77% accuracy after doing in-depth study with 50–50 split, 80.74% accuracy for 66–34 split and 80.25% accuracy for 80–20 split, when predicting the nature of the customers’ experience in the hotel, i.e. whether they are positive or negative.

The implication of this research is to provide a showcase of how we can predict the polarity of potentially popular reviews. This helps the authors’ perspective to help the hotel industries to take corrective measures for the betterment of business and to promote useful positive reviews. This study also has some limitations like only English reviews are considered. This study was restricted to the data from trip-adviser website; however, a new data may be generated to test the credibility of the model. Only aspect-based sentiment classification is considered in this study.

Stacking machine learning techniques have been proposed. At first, state-of-the-art classifiers are tested on the given data, and then, three best performing classifiers (decision tree C5.0, random forest and support vector machine) are taken to build stack and to create ISD classifier.

The current study has drawn attention to investigating the impact of social media influencers’ (SMIs) authenticity on followers buying behavior by using followers who have an ongoing relationship with an influencer and are knowledgeable about the influencer. The study further intends to reveal the mediating effect of parasocial interaction on the relationship between SMI's authenticity and followers' purchase behavior.

The study has analyzed data from an online survey of 458 participants (Instagram followers) using structured equation modeling (CB-SEM) to investigate the relationship among authenticity attributes, parasocial interaction and followers' purchase behavior.

CB-SEM results reveal that authenticity attributes positively influence followers' buying behavior. The findings from mediation analysis specify that parasocial interaction mediates the relationship between authenticity attributes (sincerity, truthful endorsement and visibility) and buying behavior excluding expertise, uniqueness attributes.

The findings of the study reinforce the need to use authentic influencers by the marketers for the brand endorsements. Further, the findings of the study can benefit marketers in implementing strategic practice of social media influencer marketing.

The study overcomes the limitations of preceding studies by using Instagram followers who are well-informed about SMIs and have an ongoing relationship with them. This study has uniquely combined the behavioral data from real influencer campaigns with followers' assessment of an influencer's authenticity.

Scarcity of resources, ecological imbalance, global warming, rising energy prices and the ever-changing need for variety have attracted the government and manufacturers for sustainable development of the industries. The integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS) provides a solid platform for meeting both the customers’ variety needs and business sustainability requirements. Many organizations opted for ISGLSAMS, but still due to various barriers organizations are not able to fully implement ISGLSAMS. The purpose of this paper is to identify the barriers to the ISGLSAMS, so that a more sustainable industrial manufacturing system and industrial symbiosis can be developed.

A literature review, from the Web of Science and Google Scholar database, has been carried out to identify the various barriers to the implementation of ISGLSAMS in the entire value chain. A total of 168 research papers have been reviewed for identifying the ISGLSAMS barriers.

This paper elaborates the concept of the ISGLSAMS, its attributes and various barriers and contributes to a better understanding and successful implementation of ISGLSAMS to meet business’ sustainability and market performance goals in the entire value chain. The paper also projects the future research framework and directions for the ISGLSAMS, integrated sustainable-green-lean-six sigma-agile (ISGLSA) product and ISGLSA supply and value chain.

The study contributes to a better understanding of ISGLSAMS’ barriers. The government, stakeholders and policymakers may plan the policy, road map and strategies to overcome the ISGLSAMS’ barriers. In-depth knowledge of subclauses of ISGLSAMS’ barriers will help the practitioners to overcome the ISGLSAMS’ barriers strategically. By overcoming the ISGLSAMS barriers, a more sustainable 7 Rs based market focused manufacturing system can be designed. This will also increase the opportunities to enhance the industrial ecology, industrial symbiosis and better recovery of the product, process and supply chain residual value. This will reduce the waste to the ecosystem.

This work has been carried out in search of a more sustainable manufacturing system, i.e. ISGLSAMS (which is 7 Rs based, i.e. 6 Rs of sustainability with 7th R, reconfiguration) to meet the customer variety needs along with sustainability in the ever-changing customer market. This study adds value to the practitioners to identify and prioritize the ISGLSAMS’ industry-specific barriers and design the solution for the more sustainable development of (1) industries, (2) the industrial symbiosis system and (3) the ISGLSA product, process, system and supply value chain with minimum resource consumption and environmental impact. The research also contributes to the (a) ISGLSAMS (b) ISGLSA supply chain (c) reconfigurable, sustainable and modular products and (d) redesign, recovery and refurbishing of the product to increase the product life cycle.

This article overviews some key contributions to service research from the organizational behavior/human resource management (OB/HRM) discipline with its strong focus on the role of employees. This focus complements the Marketing discipline’s heavy emphasis on customers, largely true of service research, overall.

Ten OB/HRM frameworks/perspectives are applied to analyzing the roles of people (with a focus on employees and modest consideration of customers as “partial” employees who co-create value) in a service organization context. Also, commentary is offered on how the frameworks relate to six key themes in contemporary service research and/or practice. The article concludes with five reflections on the role and status of employees in service research—past, present and future.

Employee roles in evolving service contexts; participation role readiness of both employees and customers; role stress in participating customers; an employee “empowered state of mind”; an emphasis on internal service quality; “strong” HRM systems link individual HRM practices to firm performance; service-profit chain with links to well-being of employees and customers; a sociotechnical system theory lens on organizational frontlines (OF); service climate as an exemplar of interdisciplinary research; emotional labor in both employees and customers; the Human Experience (HX); specification of employee experience (EX).

Service remains very much about people who still guide organizational design, develop service strategy, place new service technologies and even still serve customers. Also, a people and organization-based competitive advantage is tough to copy, thus possessing sustainability, unlike with imitable technology.

The continuous evolution of e-commerce with young consumers’ growing interest in online shopping has transformed the retail landscape across the world. With the surge in online sales, counterfeits of luxury goods have also found themselves from brick-and-mortar shelves to online e-commerce sites. Against this backdrop, this study aims to understand and analyse young consumers’ online counterfeit purchase behaviour (OCPB). Additionally, it also aims at identifying the determinants that influence their purchase decisions.

Following an extensive review of the literature, the present study pursued a quantitative approach in exploring critical demographic, psychographic, behavioural and situational factors influencing OCPB. The study was conducted in India through an online survey using a structured questionnaire.

The findings indicate that young consumers’ OCPB is significantly related to influencing factors like brand consciousness, fashion involvement, face consciousness, impulsive buying tendency, acquisition centrality and utilitarian shopping values. Furthermore, moderating effects of perceived anonymity (PA) and moral disengagement (MD) on OCPB were also observed and validated.

The study examined the critical factors and their linkages while building upon a structural framework on OCPB, keeping India as a representative sample. The proposed framework will bring more clarity and further insights that will help scholars expand the research domain with more cross-cultural studies and aid brand e-marketers to strategize their action towards developing strong brand aesthetic values.

The study contributes towards the literature by introducing PA and MD vis-à-vis building a framework for studying young consumers’ OCPB.

Scarcity of resources and ever-changing demand have attracted the government and manufacturers for an integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS). Many organizations failed to adopt ISGLSAMS due to various barriers. The purpose of this paper is to identify and rank the various barriers to ISGLSAMS and to analyze the correlations among the various barriers to ISGLSAMS so that the adoption of ISGLSAMS can be implemented in manufacturing organizations for more sustainable development of the industries, and industrial ecology.

A three tiers methodology is used to analyze the barriers to the adoption of ISGLSAMS. First, a total of 24 ISGLSAMS barriers are identified through a comprehensive literature review. Then data are collected with a structured questionnaire from 108 Indian manufacturing industries. Then, the sign test is used to check the relevance and significance of barriers. Then ISGLSAMS barriers are ranked based on the median and standard deviation. Spearman's correlations between the ISGLSAMS barriers are identified and studied to strengthen the in-depth understanding of correlations among the barriers.

The result shows that most of the Indian manufacturing industries agreed with the selected barriers to the adoption of ISGLSAMS. Low supplier commitment, uncertain financial benefits, the misconception of high cost, difficulty in evaluation of system performance throughout the life cycle, complexity in ISGLSA process design, the complexity of management of ISGLSAMS, complexity in ISGLSA system design, lack of updated information, complexity in ISGLSA product design and uncertain future legislation are found the major barriers for the ISGLSAMS in Indian manufacturing industries. While lack of leadership, low top management commitment, lack of government support, organizational structure, low employees' commitment, technological risk and low public pressure are considered minor barriers for the ISGLSAMS. Inter-relationships study of the barriers further contributes to the methodology to overcome the barriers.

The study contributes to a better understanding of ISGLSAMS barriers. Through this study, government, stakeholders and policymakers may plan the policy, roadmap and strategies to overcome the barriers to the ISGLSAMS. This will lead to the successful adoption of ISGLSAMS for more sustainable development of manufacturing industries in India.

This work contributes to identifying the barriers to a more sustainable manufacturing system, i.e. ISGLSAMS (7Rs based), and prioritizing them in Indian manufacturing industries. The research also contributes to the (1) study of inter-relationships among the ISGLSAMS barriers for analyzing the effect of one barrier over another barrier, and (2) ISGLSAMS literature because the sustainable manufacturing literature still lags the achievement of sustainability goals due to 6Rs focus.

The study aims to examine the impact of social assistance schemes introduced by the Indian government on poverty alleviation in urban slums.

To accomplish the study's objectives, primary data were collected from 585 beneficiaries of government schemes operating in India's northwestern state using a multistage sampling technique (Punjab). The exploratory factor analysis (EFA) technique reduced the total dataset to its minimum factors. Then, using second-order confirmatory factor analysis, the data's validity and reliability were determined. The data were analyzed using statistical techniques such as one-way ANOVA, t-test and structural equation modeling (SEM).

The study's findings indicate that social assistance provided by the Government of India has a direct and substantial influence on poverty alleviation in urban slums. The study demonstrates how access to basic credit financial services through social assistance programmes has improved the lives of urban poor households living in slums and assisted them in escaping poverty.

The investigation was undertaken among a few limitations. First, the in-depth investigation of the study is restricted to only the northwestern state of India solely because of limited resources and time availability. Second, the study focuses primarily on the perspectives of beneficiaries of the social assistance schemes in India. Still, it might be expanded in the future to include additional stakeholders such as bank executives, business colleagues and municipal town panchayats.

Due to policymakers' increased emphasis on poor households living in urban slums, this topic is critical for studying many issues.

The research explores gaps in social welfare schemes to direct policymakers and government authorities to take appropriate steps to aid the urban poor people in sliding out of poverty.

By examining the influence of the Indian government's social welfare schemes on poverty reduction in slums, this study contributes to the literature on public assistance schemes and poverty alleviation. This article can assist policymakers in developing nations in increasing financial capability among disadvantaged urban families on a national and international level.

In highly competitive environments, sustainability positioning is crucial for firms, as they are evaluated based on their sustainable practices. This study aims to draw on the legitimacy and information asymmetry theories to explore attributes that impact business-to-business (B2B) sustainability positioning in emerging economies, such as India, within the service industry.

This study used a mixed-methods exploratory research design to examine the attributes affecting sustainability positioning. In the first phase of the study, a qualitative research method was used to explore the attributes influencing B2B sustainability positioning. In the second phase, this study used these factors to develop a structural model.

A variety of attributes was critical in assessing the sustainability positioning of B2B firms. This study identified a number of factors that explain the attributes affecting sustainability positioning in B2B markets. Some of them included environmental consciousness and external assurance.

This study significantly contributes to the theoretical discourse on sustainable practices in B2B businesses in multiple ways. First, it provides empirical data on the relationship between firms’ environmental consciousness and sustainability positioning in the B2B context, thereby adding to and expanding the current literature on this topic. Second, this study investigates the impact of external assurance on B2B firms’ sustainability positioning and shows how it can enhance credibility, transparency and accountability. Finally, it analyzes sustainable positioning in the service sector, specifically in India, thereby contributing to the body of knowledge on this topic.

The main objective of this paper is twofold: to analyse the progress of a research stream concerning expatriate academics in the last four decades and to make recommendations for further studies in this field.

In this study, the systematic literature review (SLR) concerning expatriate academics was applied. The search embraced the period from 1980–2022. The review was performed in two interdisciplinary electronic databases: Web of Science and Scopus. The selection process of papers was conducted in steps, as recommended by the PRISMA protocol. The total pool of articles received after the exclusion criteria was 110. The content of each paper was thus extracted and categorised in Excel file: author, year of publication, tittle of article, journal, theory applied, research method, sample size, country/field of investigation.

For almost three decades this topic was almost absent in the literature of the subject. The most active publication period started from 2009 and since then there have been two “waves” of published articles devoted to expatriate academics: 2009–2014 and 2017–2021. The significant number of studies appeared in Journal of Global Mobility followed by Personnel Review, IJHRM, Higher Education. The thematic analysis revealed six themes which have been already researched on expatriates academics: (1) motives, (2) adjustment, (3) job factors and work outcomes, (4) academic missions, (5) academic career, (6) women and men in academia.

Practitioners and university management might find this article useful as the article allows to manage this pool of international academics more efficiently with mutual benefits for expatriates and organisations. This study may assist the university authorities to develop systemic approach to attract foreign academics; adjust the same in work and culture domain through effective training; support in organisational, financial and career field; create the performance criteria of expatriate work related to three missions: research, teaching and service; introduce metrics and indicators to evaluate the contribution and work outcomes of foreign scientists into the host university.

This review shows that there are many new perspectives and models through which the academic expatriation can be analysed. This paper gives an insight into the academic literature on academics expatriates. The paper is innovative and has contributed to research by doing an SLR in a new area (academic expats) and tackling all the areas that has been covered by academic research so far. New research directions have been recommended for future research, to open the field further.