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This paper aims to empirically investigate the relationship between service quality (SQ) in heritage tourism, destination attachment (DA), and electronic word-of-mouth (eWOM) intention.

This study followed cross-sectional survey-based research design and surveyed 327 foreign tourists visiting the Golden Triangle, a heritage tourist circuit in India through mall interception method. The data were analysed using structural equation modelling.

The results reveal that heritage SQ has a significant positive effect on DA and eWOM intention and DA has a significant positive effect on eWOM intention.

The research findings make the theoretical and practical contribution in the domain, focussing explicitly on heritage tourism, in which such relation has not been studied yet, in sense of the foreign tourists.

Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively influence customer behaviors. Businesses use AI to generate behaviors such as customer retention (CR). The existing literature on “AI and CR” is vastly scattered. The paper aims to review the present research on AI in CR systematically and suggest future research directions to further develop the field.

The Scopus database is used to collect the data for systematic review and bibliometric analysis using the VOSviewer tool. The paper performs the following analysis: (1) year-wise publications and citations, (2) co-authorship analysis of authors, countries, and affiliations, (3) citation analysis of articles and journals, (4) co-occurrence visualization of binding terms, and (5) bibliographic coupling of articles.

Five research themes are identified, namely, (1) AI and customer churn prediction in CR, (2) AI and customer service experience in CR, (3) AI and customer sentiment analysis in CR, (4) AI and customer (big data) analytics in CR, and (5) AI privacy and ethical concerns in CR. Based on the research themes, fifteen future research objectives and a future research framework are suggested.

The paper has important implications for researchers and managers as it reveals vital insights into the latest trends and paths in AI-CR research and practices. It focuses on privacy and ethical issues of AI; hence, it will help the government develop policies for sustainable AI adoption for CR.

To the author's best knowledge, this paper is the first attempt to comprehensively review the existing research on “AI and CR” using bibliometric analysis.

With the changing times, the role of social media has increased manifold. It acts as one of the platforms for disseminating information to the public faster. Social media enables us to focus on widespread ways of reaching the target audience. The principal motto of this research study is to identify the role of social media in public health development with a systematic review of literature in terms of its practice, assistance and application in future areas of public health measures.

The research adopted a bibliometric analysis method to analyze the data from vast sources. The Scopus database was used to extract papers using appropriate keywords. Thus, the study tries to answer the following research questions: (1) to determine the key journals, authors and keywords in the public health development research; (2) to provide a theme-based cluster based on the keywords’ cooccurrences; and (3) to develop a research framework for the upcoming researchers.

The study's findings provide a path to understanding the present research stream regarding the highest publication in terms of journals and the year and relevance of social media in public health development. Five theme-based clusters have been identified based on keyword cooccurrences. Thus, future researchers can extend the research field using different themes and frameworks, adding value to the present research works.

This research work is helpful to the government, health practitioners, policymakers and researchers in investigating areas where social media can be implemented. Lastly, social media applications will provide health development measures and lucrative results to the public.

The research enumerates the significance of social media in public health development through bibliometric analysis. The research work analyzed, reviewed and measured the importance of social media in health development measures by recognizing its usage, application and potential future research directions. The theme-based clusters have also been identified from the keywords’ cooccurrences.

Over the years, the fruit and vegetable supply chain has encountered several challenges. From the harvesting stage until it reaches the consumer, a significant portion of fruits and vegetables gets wasted in the supply chain. As a result, the present study attempts to identify and analyze the growth barriers in the fresh produce supply chain (FPSC) in the Indian context.

An integrated grey theory and DEMATEL based approach is used to analyze growth barriers in the FPSC. The growth barriers were analyzed and sorted based on their influence and importance relations.

The results emphasize that the most critical growth barriers in the FPSC that should be addressed to ensure food waste reduction are as follows: Lack of cold chain facilities (B2), lack of transportation or logistic facilities (B1), lack of collaboration and information sharing between supply chain partners (B3), lack of proper quality and safety protocols (B15), a lack of processing and packaging facilities (B14), and poor productivity and efficiency (B13). Results are also verified by conducting a sensitivity analysis.

The results are highly useful for policymakers to exploit growth barriers within the FPSC that require more attention. The obtained results show that the managers and policymakers need to utilize more funds to develop the cold chain facilities and logistics facilities to develop the FPSC. By improving the cold chain facilities, it is possible to improve the quality of food, make the food safe for human consumption, reduce waste, and increase the efficiency and productivity of the supply chain. Also, this study may encourage policymakers and industrial managers to adopt the most influential SCM practices for food waste reduction.

Many researchers have attempted to analyze the causes of food waste and growth barriers in the FPSC using various decision-making methods. Still, no attempts are made to explore the causal relations among various growth barriers in FPSC through the integrated Grey-DEMATEL technique. Also, we devise policy implications in the light of the new farm bills or the Indian agricultural acts of 2020. Lack of cold chain facilities (B2) was found to be the critical driving barrier in the FPSC, as it influences multiple barriers. Also, there is a dire need for cold chain facilities and transportation systems to enhance productivity and efficiency.

The problem of portfolio optimization involves selecting appropriate stocks for investment by maximising the returns from the portfolio at a pre‐specified level of risk. The current approaches center around Markowitz’s mean variance optimization method that suffers from several pitfalls like instability of beta, and are either computation extensive or lead to sub‐optimal solutions. The present work suggests a heuristics and evolutionary approaches to portfolio optimization. The approach is computationally less intensive. It further extends the approach to include cardinality constraints that limit a portfolio to have a specified number of assets, and to impose limits on the proportion of the portfolio held in a given asset. The heuristics technique is employed for asset selection while the evolutionary technique is used for allocation of funds among the already selected assets. The approach is capable of handling a large number of instruments and scenarios, and is relatively stable to minor variations of the inputs, as is practiced in real life situations. The performance from this approach compares well with the Markowitz’s model, and performs better than the stock market indices of US and India.

The purpose of this paper is to evaluate two different asset selection methodologies and further examine these by forming optimal portfolios.

This paper deals with the problem of portfolio formation, broadly in two steps: asset selection and asset allocation by using the two different approaches for the first step and then well‐known mean variance portfolio optimization. In addition, the resulting portfolios are compared using Sharpe ratio.

The empirical observations prove the applicability of the methodology adopted in the research design, ordered weighted averaging (OWA)‐heuristic algorithm gives us a better portfolio from the sample observations. Also the asset selection procedures adopted in the research proves to be of help when an investor has to narrow down the number of assets to invest in.

The analysis provides two different methodologies for portfolio formation – though the asset allocation is based on the mean variance portfolio optimization, the asset selection methods adopted provide a systematic approach to select the efficient securities.

This paper shows that OWA can be used to decide the order of inputs for the heuristic algorithm. Also an attempt is made to use data envelopment analysis to find a solution to the problem of portfolio formation.

The purpose of this paper is to look back at the first year of publication of the Journal of Indian Business Research (JIBR) and to provide details of the current issue.

It is time to look back at the first year of launch of the JIBR. After all, it is widely believed in the academic publishing world that the first year of a new journal is the most crucial one. This editorial gives details of the current issue, paper by paper.

Filling a much‐felt gap for a high‐quality publishing outlet on Indian business research, JIBR has attracted the attention of leading scholars in the discipline in the very first year of its existence. Renowned scholars such as Jagdish Sheth, Alok Chakrabarti, Raj Aggarwal, Madhukar Angur, G.K. Kalyanaram and Rajendra Sisodia have published their research and/or viewpoints/commentaries in JIBR in its very first year. This issue begins with “Corporate social responsibility communication in the Indian context” wherein Brigitte Planken, Subrat Sahu, and Catherine Nickerson report on research, which investigates the CSR platforms and the communication surrounding those platforms in India. In the second paper titled “Effectiveness of integrated marketing communications: empirical analysis of two brands in India,” Mehir Baidya and Bipasha Maity utilize quarterly, time‐series data over 2000‐2005 for two competing brands in packaged goods business to assess the impact of marketing communication on sales. Pramila Rao, in the third paper titled “A resource‐based analysis of recruitment and selection practices of Indian software companies: a case study approach” enhances our understanding on senior‐level staffing practices of Indian software companies. The next paper by Federica Collato is a case study titled “Is Bangalore the Silicon Valley of Asia? Analysis of the evolution and the structure of this Indian local economy organization.” The final paper of this issue is a viewpoint article on “Overcoming decision flaws from framing” by V.N. Bhattacharya.

The Editorial provides an overview of the inaugural volume of JIBR.

The purpose of this paper is to provide a case study of a global challenge: the relationship between commercial development and the protection of eco-fragile systems particularly where river water is involved. It reviews and critiques the legal and political processes that underpinned the Commonwealth Games (CWG) 2010 in Delhi and the building of the accommodation Village on the floodplain of the river Yamuna.

The paper covers the controversial modern history of the Yamuna river that runs through Delhi. The river is “dead” and has been subject to litigation concerning its usage and that of its flood plain. In particular, the controversy peaked prior to the CWG 2010 in Delhi and the required buildings associated with the games. The paper traces the history of the legal actions and the inter-related involvement of the various actors being the politicians, construction developers, the river bank dwellers and the local environmentalists. Close analysis is made of the statutory administrative procedures required for environmental clearance, the subsequent case law both in the High Court of Delhi and the Supreme Court of India. Additionally, usage is made of the media and its concerns over corrupt and negligent practices.

The Indian judiciary in their willingness to promote the construction of the Village failed to apply its own environmental jurisprudence. There was a failure to “lift the veil” and review flawed administrative practices that violated governing statutes. National pride, time pressures, political support, economic interests and rapid urbanisation created a pressure that the courts could not challenge. It was left to investigative committees, after the Games had concluded, to expose these wrongdoings.

The paper highlights the issue of the relationship of the courts and political and economic interests and how legally protected ecological interests are ignored.

The purpose of this paper was to analyse text mining (TM) literature indexed in the Web of Science (WoS) under the “Information Science Library Science” subcategory. More specifically, it analyses the chronological growth of TM literature, and the major countries, institutions, departments and individuals contributing to TM literature. Collaboration in TM research is also analysed.

Bibliographic and citation data required for this research were retrieved from the WoS database. TM being a multidisciplinary field, the search was restricted to “Information Science Library Science” subcategory in the WoS. A comprehensive query statement covering all synonyms of “text mining” was prepared using the Boolean operator “OR”. Microsoft Excel and HistCite software were used for data analysis. Pajek and VoSviewer were used for data visualization.

It was found that USA is the major producer of TM research literature, and the highest number of papers were published in the Journal of The American Medical Informatics. Columbia University ranked first both in number of articles and citations received in the top ten institutes publishing TM literature. It was also observed that six of the top ten subdivisions of institutions are either from medicine or medical informatics or biomedical information. H.C. Chen and C. Friedman were seen to be the most prolific authors.

The paper analyses articles on TM published during 1999-2013 in WoS under the subcategory Information Science Library Science’.

The paper is based on empirical data exclusively gathered for this research.

Project risk management (PRM) and human resource management (HRM) are the two critical success factors (CSFs) for international project management. This paper aims to correlate these two CSFs, identify the human resource (HR) barriers, develop a hybrid model for risk management and develop strategies to overcome the HR barriers to effective risk management in international projects.

In total, 20 key HR barriers have been identified through a literature survey and verified by project professionals. These HR barriers are ranked according to their ability to trigger other barriers by analysing their interactions using the decision-making trial and evaluation laboratory (DEMATEL) method. Based on Ulrich’s revised model for HR functions, a hybrid framework for international PRM has been proposed.

DEMATEL analysis categorized nine barriers as cause barriers and 11 as affected barriers. The “PROJECTS” model proposed for HR strategy development suggests eight strategies to overcome these nine cause barriers. The hybrid PRM framework developed includes the effect of the HR dimension.

This paper presents the generalized prioritization of HR barriers to international PRM. For a specific international project, the HR barriers and their prioritization may change slightly. The hybrid framework for PRM and the strategy development model suggested are yet to be validated.

Correlating two CSFs in international project management, i.e. HRM and PRM and ranking the HR barriers using the DEMATEL method is the uniqueness of this research paper. The hybrid framework developed for PRM based on HR functions in Ulrich’s revised model and the proposed new HR strategy development model “PROJECTS” are unique contributions of this paper.