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The purpose of this paper is to review the diversified existing literature on tourism and carbon emissions using bibliometric analysis to churn down the multiple studies under one paper, which not only provides insights into the evolution and progress of the research area but also sets the future research agenda.

The study adopted the Scientometrics review methodology based on the bibliometric analysis. Bibliometric analysis is conducted through the following techniques, namely, citation analysis, thematic mapping, country collaboration, co-citation analysis and co-occurrence of keywords with the help of R-based bibliometrix and visualization of similarities (VOS) viewer open-source software.

The study identified the most prominent authors, studies, journals, affiliations and countries in the field of sustainable tourism, as well as the most co-cited authors and journals, based on a bibliometric analysis of 398 research papers retrieved from the Scopus database during the past three decades (1990–2021). Moreover, some of the relevant themes identified by the authors are energy use and carbon dioxide (CO₂) emission of the tourism sector, economic impacts of tourism and CO₂ emissions and CO₂ emissions and carbon tax.

The outcome of the selected studies is a unique contribution to the field of sustainable tourism as it is one of the first known studies to review tourism and carbon emissions. It provides in-depth bibliometric analysis of articles and identification of the important research trends.

Human resource management, business ethics, public policy.

The case can also be taught in MBA/postgraduate in management programmes in general management or HR classes to give a lesson in organizational conflict and resolution, negotiation skills (strategies, tactics and power in negotiation) towards the middle or end of the course. The course can also be taught in MBA/postgraduate in management programmes in business ethics classes to make students appreciate the various approaches to ethics – end-results, duty, social contract and personalistic ethics. It also helps students learn how to institute ethics into the cultural fabric of the organization. In public policy programmes, it could be taught to illustrate the crucial role and at times unintended outcomes of actions of street level bureaucracies in policy implementation. The course can also be taught in refresher training programmes for executives to give lessons in conflict management, mediation strategies, union negotiations and ethics.

This teaching case is based on a real incident that took place in a defence production factory of India in the year 2009. It succinctly unfolds a small showdown between two officers that acquires a disproportionate size and explosive dimension and vitiates the environment of the entire organization. The case is a narration of a small row that in no time became a full-blown organizational dispute with layers of issues. Two officers, one very senior and the other influential, got entangled in a conflict, unfortunately in the presence of a large audience; dissatisfied workers and officers fanned the sentiments and encouraged them to unethically leverage legal privileges by gaming in the name of caste and sexual harassment to gain power in the messy dispute. The protagonist Ram Sharma, the General Manager (head) of the factory, is in a precarious situation as the conflict not only puts his managerial skills but also his moral standards and ethics to test.

After discussion and analysis of this case, the students should be able to: appreciate and evaluate the complexities and multiple facets of an organizational conflict including ethical challenges faced in a real life situation, recommend the options and course of action a manager could resort to in a high stake and time bound situation, learn to develop a basic framework for analysing, negotiations and strategize to resolve a conflict as a manager-mediator in such a situation, learn to handle difficult negotiation bound by complexities of unethical and legal disputes, answer to themselves the criticality of ground level bureaucracy's role in implementation of public policies (optional if the faculty decides to discuss the part provided in the teaching note). For international students, this is a case to learn dynamics of “negotiations in Indian context”. Overall development of critical thinking and analytical skills.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

The purpose of this study is to determine the impact of environment, social and governance (ESG) disclosure on credit ratings of companies in India.

Firms under study are listed on the Bombay Stock Exchange (BSE) 500 and represent almost 93 per cent of the total market capitalization on BSE. This study considers a sample of 122 firms from a population of 500 to examine the relationship between ESG scores and Credit Rating. The scope of this study is confined to those firms listed on the S&P BSE 500 which have made ESG disclosures and were rated by various credit rating agencies like Crisil, ICRA and CARE. Data were sourced from Bloomberg. Ratings were given in ascending order. In the first model, credit rating was used as predicted variable; ESG score as predictor variable and market capitalization, net debt to equity, and total debt to asset as control considering the ordered nature of dependent variable in the study, ordered logistic regression was applied. It was repeated taking individual scores on environment rating, social rating and governance rating as predictors. The authors further segregated the 122 selected firms into large, medium and low capital firms and assessed separate logistic regression models taking credit rating as the predicted variable and overall ESG score as the predictor.

It was found that overall ESG performance and performance of individual components (environment, social and financial variables such as market capitalization, and debt to equity ratio) had significant positive indicators of creditworthiness as measured through credit rating. Governance score had a positive and insignificant relation with credit rating. Market capitalization was observed to have significant direct relationship with credit worthiness. On the other hand, number of independent directors in companies showed significant inverse relationship with creditworthiness. ESG significantly impacted credit rating in the desired direction only for small- and middle-level firms; for large firms which already had higher credit rating, ESG showed no effect. It was also found that credit rating itself determined significantly the extent of overall ESG reporting and disclosure of its components.

This is unique study that covers the aspects of ESG reports and its impact on credit rating.

This study attempts to critically assess one of the financial inclusion policy “Pradhan Mantri Jan Dhan Yojna” introduced by the government of India in 2014.

Number of bank accounts opened (rural, urban and overall) under the policy, total balance in such account and total number of debit cards issued till October, 2017 were taken as the criterion variables. The macroeconomic indicators, infrastructure, literacy, regional dummy and percentage labour participation were taken as predictors. Finally, a State index for financial inclusion under the policy was developed through Normalized Inverse Euclidean Distance using per capita number of accounts, total balance and number of debit cards issued as the parameters.

Andaman and Nicobar, Puducherry and Chandigarh came out to be the top three State indexes for Financial Inclusion under the policy. Status of infrastructure (such as number of roads) was found to be the most significant determining factor. Other factors were labour force participation, poverty and regional disparity.

This paper is unique in the sense that financial inclusion policy has been assessed both through its reachability and assessment of its predictors.

The purpose of this study is to understand consumers in the emerging wine market of India to ensure the best services. To this end, factors were identified to describe Indian wine consumer behavior and further segments for consumers were created based on the factors identified.

The research design is descriptive in nature and based on primary data. Data was collected by a structured questionnaire from 232 respondents in five major cities of India (Mumbai, Delhi NCR, Bangalore, Pune and Hyderabad). The scale was mainly adopted from wine-related lifestyle approaches.

The principal component factor analysis resulted in six factors, namely, drinking ritual, consumption reason (social), consumption reason (mood, enjoyment and relaxation), consumption practice, consumption planning and quality. Cluster analysis resulted in a three-cluster solution. These clusters were named as cautious social drinker, loner regular drinker and highly engaged drinker based on the attributes possessed.

The segmentation of urban Indian wine consumers will be helpful for marketers to identity and describe the differences in attributes and behaviors, to create customized promotions to match the needs.

The purpose of this study is to examine the relationship between subjective career success (SCS) and proactive career behavior as well as family support, with a focus on women professionals in India. The study also investigates the moderating role of perceived organizational support and marital status on these relationships.

The sample consists of 363 women professionals working in the information technology-enabled services industry in India. The study is cross-sectional in design.

Findings from this study posit the positive moderating role of perceived organizational support on the relationship between proactive career behavior and SCS and on the relationship between family support and SCS. As a moderator, marital status has a positive impact on the relationship between proactive career behavior and SCS but has a negative impact on the relationship between family support and SCS.

The results from this study will help organizations understand the predictors of career success of women employees. Another practical implication is that this study establishes knowledge of perceived organizational support, a controllable organizational factor as a moderator in positively influencing the success of women’s careers. Leaders and managers can, therefore, use organizational factors to facilitate the success of women employees.

This study is perhaps the first to examine the relationship between antecedents of career success for women professionals in the context of India.

Amidst the backdrop of a wide array of structural developments that have revolutionized the competitive landscape of Indian commercial banking, this paper aims to empirically examine the role of two external monitoring mechanisms – competition and concentration on financial stability and further highlights the significance of bank-level heterogeneity in the nexus.

The study uses the Lerner index, defined through a translog specification, as a measure of market power. A system generalized method of moments technique accounts for the dynamic associations among the competition-concentration-stability nexus. The study further examines the moderating effect of ownership, size and capitalization on the nexus. The study also uses the Boone indicator and comments on the competition-bank stability relationship after controlling for bank governance.

The findings indicate that banks are less stable in a more competitive and higher concentrated environment. Exploring bank-level heterogeneity, first, the authors report that as competition increases, state-owned banks have greater incentives to undertake risky activities than private and foreign banks, which point to implicit sovereign guarantees that characterize the former. Second, the authors document an adverse influence of competition on the soundness of larger banks consistent with the “too-big-to-fail” assertion. Third, results corroborate the disciplinary role of regulatory capital and lend support to stricter capital norms under Basel III in a more competitive environment.

This paper is perhaps the first to capture competition and concentration in a single model; to reconcile conflicting evidence on competition-risk nexus; to shed light on the joint effect of competition and Basel accords for Indian banks.

Plastic has been a very useful material which is very cheap, easy to carry and is resilient to biodegradation. That is why plastic has been used, sometimes reused, and overused due to the reasons mentioned above. As a result, landfills and oceans are full of plastic. But if we consider all the negative health effects, environmental / ecological effects it has in present times, we can understand that it is environmentally very expensive to use plastic. Bangladesh is a relatively young country with dense population and limited resource. Proper management of plastic remains an issue with the country. Considering these, this chapter focuses on how plastic is used, how it is treated as waste and what can be possible solutions in reducing the amount of plastic in Bangladesh.

This study intends to advance the research on the relationship between high-performance work systems (HPWS) and change readiness by examining the mediating role of positive employee outcomes. Therefore, the streams of strategic human resource management (SHRM) and change management are studied in the context of digital transformation in the post-COVID-19 pandemic scenario.

Primary responses from 409 Information Technology (IT) employees were analysed to investigate the mediating relationship between HPWS, positive employee outcomes and employee readiness to change. Researchers used statistical techniques to analyse the data, such as confirmatory factor analysis, correlations, regression and bootstrapping. In addition, sequential mediation was examined using “PROCESS Macro” and syntax for SPSS.

Results of the study revealed that implementation of HPWS through extensive training and development, performance-based appraisal and compensation, participation in decision-making, flexible work arrangements and rigorous recruitment and staffing results in enhanced employee-level outcomes. Thereby conclusively impacting their readiness to change for digital transformations.

This study revisits the elements of HPWS in the post-pandemic work-from-anywhere (WFA) scenario. Thus, it provides adequate indications that investment in designing bundles of change-oriented human resource (HR) practices amplifies the chances of success of a change initiative by creating a favourable mindset and attitude among IT employees in India.

This study is among the earliest to link two major streams of SHRM and change management by establishing HPWS as an essential antecedent of a change-related outcome by introducing multiple mediators in the sequence. This sequence provides new insights for enhancing the probability of organisational change directives succeeding.

Better forecasting always leads to better management and planning of the operations. The container throughput data are complex and often have multiple seasonality. This makes it difficult to forecast accurately. The purpose of this paper is to forecast container throughput using deep learning methods and benchmark its performance over other traditional time-series methods.

In this study, long short-term memory (LSTM) networks are implemented to forecast container throughput. The container throughput data of the Port of Singapore are used for empirical analysis. The forecasting performance of the LSTM model is compared with seven different time-series forecasting methods, namely, autoregressive integrated moving average (ARIMA), simple exponential smoothing, Holt–Winter’s, error-trend-seasonality, trigonometric regressors (TBATS), neural network (NN) and ARIMA + NN. The relative error matrix is used to analyze the performance of the different models with respect to bias, accuracy and uncertainty.

The results showed that LSTM outperformed all other benchmark methods. From a statistical perspective, the Diebold–Mariano test is also conducted to further substantiate better forecasting performance of LSTM over other counterpart methods.

The proposed study is a contribution to the literature on the container throughput forecasting and adds value to the supply chain theory of forecasting. Second, this study explained the architecture of the deep-learning-based LSTM method and discussed in detail the steps to implement it.