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This paper aims to explore whether financial statement readability overcomes the information disadvantage of foreign equity investors.

A comprehensive data set of Indian firms listed on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) for 2007–2019 has been used to evaluate the proposed research questions. This study uses the Panel data method to investigate the research question.

The results reveal that readable financial statements attract foreign investments. The readability benefits are more noticeable for firms operating in less competitive industries and having poor earnings quality.

This study suggests that foreign investors facing informational disadvantages prefer firms with better readability as a substitute for informational acquisition, processing and monitoring.

The paper examines how earnings transparency affects dividend payouts for Indian firms. The authors also explore the channels through which earnings transparency affects dividend payouts.

The authors employ panel data estimation with fixed effects to examine the role of earnings transparency on dividend payouts. The authors also use path analysis to explore causation. The paper uses a sample of more than 2000 Indian listed firms, over the period 2001–2016.

The authors report that firms showing grater earning transparency pay more cash dividend. Their results do not support the signaling hypothesis about the dividend. However, these results provide explicit support to the theory that corporate dividend policy is an outcome of information asymmetry. Moreover, the path analysis reveals the effect of earnings transparency on corporate payout through the financial constraint channel. The results are robust to idiosyncratic controls; alternate measures of payout; alternate models; endogeneity concerns; and the alternate channel of returning money to stockholders.

Managers should also examine earnings transparency while formulating an adequate dividend policy for their firms. This study also helps investors to identify dividend-paying stocks.

This study particularly contributes to the literature examining the effect of earnings quality on dividend payouts through its effect on financial constraints. We, therefore, connect two streams of research that contemplate the relation between accounting-based information variables and dividend payouts and the relationship between financial constraints and dividend payouts. Moreover, using path analysis uniquely, the authors provide evidence on the relative importance of both the direct and the indirect link.

We examine how business group affiliation affects corporate debt maturity.

This study employs the financial data of all listed Indian companies obtained from the CMIE database for 2011–2018. The ordinary least square, firm-fixed effect and Fama–Macbeth regression methods are used for empirical analysis. We use propensity score matching and difference-in-difference method to address endogeneity issues. Further, two-stage least square (2SLS) regression is performed to mitigate the endogeneity that stems from simultaneity between debt maturity and leverage.

Using Indian firms, we report that group affiliation is positively associated with corporate debt maturity; group firms use more long-term debt compared to similar standalone firms. We also observe that the positive effect of group affiliation on debt maturity is more pronounced in business group firms associated with a group having more resources and having unrelated diversification. However, information asymmetry and moral hazard problems weaken the impact of group affiliation on debt maturity structure of a firm. Overall, our results are consistent with co-insurance benefits that are an argument for the presence of business groups in emerging markets.

This study contributes to the existing literature by testing the role of group affiliation on corporate debt maturity decisions in the Indian market context where market imperfections persuade firms to borrow from banks. This is also the first study on determinants of corporate debt maturity that distinguishes between public and private debt.

Tourism is one of the upcoming service industry in India with high potentials for future growth, particularly in rural areas. Many potential barriers are affecting the growth of tourism in rural India. Therefore, it is essential to explore and prioritize the barriers to tourism growth in rural India.

Qualitative and quantitative responses from “16” experts related to tourism and hospitality management from central India are collected for this study. An integrated Multi-Criteria Decision Making (MCDM) based framework is adopted to identify and relate significant barriers to tourism growth in India.

The result of the study identified many significant barriers and their importance to tourism growth in rural India.

The findings of this study add to the knowledge base of tourism research in line with the previous literature. This study offers an in-depth understanding of barriers focusing on rural tourism growth and devising both the plan of action and the suggestive measures in dealing with rural tourism.

The study provides a robust framework by integrating Interpretive Structural Modelling(ISM) and Decision Making Trial and Evaluation Laboratory (DEMATEL) to explore and prioritizing the critical barriers to rural tourism growth in India. The results of this study can help the decision-maker to fundamentally improve the economy of India through the growth of rural tourism.

In recent years, the proliferation of social commerce (s-commerce) has attracted many researchers to investigate the drivers of individuals' intentions. However, the empirical results reported in these studies were fragmented and inconsistent. This has led various meta-analyses to synthesize these findings, but without including a large number of s-commerce studies. In addition, investigating meta-analytically the effects of moderators such as the six dimensions of Hofstede's national culture is still lacking.

Drawing on nine theories and models, this meta-analysis aims to summarize the findings reported in 109 s-commerce studies published between 2011 and 2021 and to examine the moderating role of national culture. The correlation coefficient (r) has been used as the main effect size for this study. Based on the random-effects method, the CMA V3 software has been employed to calculate the weighted mean effect sizes.

The meta-analysis results showed that all the 11 hypothesized direct relationships are positive and significant. The moderator results also revealed that five out of six cultural dimensions significantly moderate the examined associations.

This research serves to enrich the existing s-commerce literature by addressing contradictory and mixed results reported in the empirical studies. This study is one of the first of its kind to investigate the role of Hofstede's six cultural dimensions as moderators in the field of s-commerce using the meta-analytic techniques.

This study aims to identify service quality dimensions for logistics service providers (LSPs) and to examine their relationships with customer satisfaction and customer loyalty.

Service quality dimensions are identified from vast literature review. Customers who take services from LSPs were surveyed to collect data on basis of developed survey instrument. Structural Equation Modelling (SEM) is applied to test the proposed research hypotheses.

The study shows that all the five service quality constructs, i.e. “Operational Quality”, “Resource Quality”, “Information Quality”, “Personnel Contact Quality” and “Customization and Innovation Quality” have direct relationship with customer satisfaction. They also have indirect relationship with customer loyalty, implying the full mediation of customer satisfaction.

The results of the study suggest that the logistics service quality (LSQ) can be measured multi-dimensionally. It provides clear implications to LSPs for improvement of service quality. The present research work is expected to be useful for both, logistics service providers and the customer organizations, which take services from LSPs. LSPs can develop strategies to improve their service quality on basis of findings from this study.

The present research will help in extending the existing literature on service quality in context to LSPs.

The purpose of this paper is to identify the factors influencing the citizens of India to prevent cybercrimes in the proposed Smart Cities of India.

A conceptual model has been developed for identifying factors preventing cybercrimes. The conceptual model was validated empirically with a sample size of 315 participants from India. Data were analyzed using structural equation modeling with SPSS and AMOS softwares.

The study reveals that the “awareness of cybercrimes” significantly influences the actual usage of technology to prevent cybercrimes in Smart Cities of India. The study reveals that government initiative (GI) and legal awareness are less influential in spreading of the awareness of cybercrimes (AOC) to the citizens of the proposed smart cities.

The conceptual model utilizes two constructs from the technology adoption model, namely, perceived usefulness and ease of use. The study employs other factors such as social media, word of mouth, GIs, legal awareness and organizations constituting entities spreading awareness from different related literature works. Thereby, a comprehensive theoretical conceptual model has been proposed which helps to identify the factors that may help in preventing cybercrimes.

This study provides an insight to the policy maker to understand several factors influencing the AOC of the citizens of the proposed Smart Cities of India for the prevention of cybercrimes.

There are few existing studies analyzing the effect of AOC to mitigate cybercrimes. Thus, this study offers a novel contribution.

The Internet is used as a tool to seek health information by individuals. Mental health concerns are the high prevalence of the novel coronavirus disease 2019 (COVID-19) and preventive steps are required to curb the illness. Therefore, to gain more insight into health concerns, it is now a common practice to seek health information on the Internet. This study propose an integrated theoretical model to explore the relationship between COVID-19 protocols and perceived online trust with online health information seeking intention (OHISI) and a moderating effect of perceived severity and perceived urgency.

Data are collected from 325 athletes in the category of individual and team sports through an online survey in a Likert-scale questionnaire. The analysis is performed with a quantitative methodology.

The study reveals the bright side of online health information (OHI), which brings athletes together and has played out with virtual happy hours, meetings and events. The bright side of OHI reflects social, cultural, technological and economic benefits. An OHI chatbot offers bright personalised side information to the individual seeker, which is more convenient and efficient than human capabilities.

The pivotal contribution is the integrated theoretical framework that is derived from multidisciplinary literature to capture the complexity of OHI. Also, it conceptualises the constructs in the context of OHI and COVID-19.

This chapter aims to analyse the evolution of research in the Indian tourism and hospitality domain from 1976 to 2021. By employing the bibliometric and systematic literature review, the chapter highlights the prominent authors, institutions, methods, emerging and explored research themes in the tourism and hospitality field. Accordingly, the authors collected 458 articles from core tourism and hospitality related journals using PRISMA and evaluated them using VOSViewer. The findings revealed an emic perspective of research contribution in Indian tourism and hospitality. While some topics such as religious tourism, sustainability, cultural and heritage tourism products have attained more attention, topics such as tourism entrepreneurship, technology and human resource development failed to seek attention in the eyes of journals and researchers. Although the literature has expanded significantly, there is a need to build global academic networks to examine the state of Indian tourism and hospitality. The chapters suggest that future research should critically evaluate the schemes and initiatives undertaken by the government to promote Indian tourism, expand research to western and eastern parts of the country, and follow the mixed-method research to contribute holistically to the topic.

The purpose of this study is to investigate the role of blockchain technology in reducing online fraud among Gen Y and Gen Z.

This study uses a two-phase approach. Firstly, a systematic literature review is conducted to examine various aspects of blockchain technology and cyber security. Secondly, the Technology Adoption Model is used to study the adoption dynamics of blockchain-based platforms for online data exchange among 415 Gen Y and Z users.

The results indicate that efficiency and security, perceived ease of use, perceived usefulness, and trust have a positive effect on behavioral intention and attitude towards use. This is the first study to examine the role of blockchain technology to reduce fraud among Gen Y and Gen Z.

This study provides new insights into the adoption of blockchain-based platforms for online data exchange among Gen Y and Gen Z. The study highlights the critical areas of concern for the adoption of blockchain technology and provides managerial implications for fintech firms, banks, and e-commerce platforms. It is unique in its focus on the potential for blockchain technology to reduce fraud among Gen Y and Gen Z, which has not been previously explored in the literature.