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This study aims to examine empirically the nature of supply chain disruptions caused by the COVID-19 pandemic, particularly on the Indian automobile sector.

The authors evaluate the stock market performance of individual company and its quantitative relationship to certain variables related to company’s supply chain.

The authors analysed the company’s operations considering several ratios like asset intensity, company size, labour intensity and inventory to revenue.

The results of analysis can help the companies to understand how disruptions in the supply chain can affect the company’s operations and how it is perceived by the investors in the stock market.

Also, investors are benefitted, as they can understand how different companies with different operational characteristics react to global disruptions in supply chains, which in turn would help them to find better investment opportunities.

Although there is some literature available on the qualitative as well as quantitative analysis, the authors go further to analyse the impact of supply chain disruption on the stocks of the automobile sector.

This study aims to examine the hedonism attributes, memorable tourism experience (MTE), revisit intention and their relationships. This study explores the antecedents of hedonism as physical environment, shopping at the destination, service quality, personalisation and exclusivity that influence MTE. The relationship of hedonism factors with revisit intention is also investigated in light of the mediation of MTE between them.

For this study, a sample of 600 tourists is collected by using the convenience sampling technique. The collected data is analysed by using the confirmatory factor analysis-structural equation modelling approach.

The empirically validated model recommends the significant relationships between the hedonism elements and revisits intention with the mediating effect of MTE. The findings suggest that tourists who positively perceive hedonism attributes are more likely to have positive MTEs, and they revisit the destination.

This research study examines the relationship of hedonism determinants with MTE of the tourists leading to their revisit intention for a tourism destination. It helps to understand MTE as the main component to affect tourists’ revisit intention for a destination and make sustainable tourism.

The relationship between corporate social responsibility (CSR) and financial performance (FP) is a much-researched topic in academic arena. Recent studies disclosed that intellectual capital (IC) significantly impacts the success and survival of organizations. Moreover, theoretical assertions confirm that competitive advantage (CA) mediates the association between IC and FP. This has opened up new dimensions for the study. Therefore, this study aims to develop a theoretical model, first, to specify these relations and, second, to explore the mediating role of IC and CA on the relation between CSR and FP in the context of small- and medium-sized enterprises (SMEs).

Hypotheses are tested through a survey conducted on 384 SMEs in Rajasthan state. A structured questionnaire having 38 variables was used, and collected data are subjected to confirmatory factor analysis. Structural equation modeling was used to validate the measurement model and to test the mediating effect.

The findings indicate a weak positive relation between CSR and FP. The empirical data provide supportive evidence that IC has a profound impact on CSR and FP relationship. Specifically, it was noticed that the mediating role of CA on this relationship was not as reflective as described in the literature.

The limitation of this study is that it is limited to one country, more specific to one geographical area of a country; therefore, findings of the study cannot be generalized in terms of its implications to other regions and countries.

Very few empirical studies have analyzed the mediating role of IC and CA on the relationship between CSR and FP. This study is expected to enable scholars and practitioners to have a more definite and direct understanding of the implication of IC and CA in association between CSR and FP.

This paper aims to measure the human resource (HR) flexibility and firm performances confirmatory model and to map the causal relation structures in the HR flexibility and firm performance dimensions using the DEMATEL method.

Data were collected from leading national and multinational information technology (IT) firms operating in the southern part of India. Confirmatory factor analysis was used to measure the confirmatory model, and the DEMATEL method was used to map the causal relation among the dimensions of HR flexibility and firm performance.

HR flexibility could exist across IT firms. Organisations are required to anticipate and respond promptly to changing conditions in such a way that both technical and stakeholders’ complexity are effectively managed.

The study was conducted at leading national and multinational IT firms operating in the southern part of India.

HR flexibility allows employees with a wide variety of work styles and lifestyles to be successful contributors, to advance and to lead in the parent firm. It brings out diversity and individuality, shared responsibility, wholeness, etc., among the employees. It applies to work schedules and career paths across the organisation. IT firms are advised to adopt an external focus, an organic and employee-oriented approach and long-term orientation.

Confirming the measurement model and mapping the causal relationship among the dimensions of HR flexibility and firm performance would be the novel contributions to the research in the areas of HR flexibility and firm performance with regard to IT firms. This paper contributes to the literature by theoretically and empirically investigating such relationships, thereby addressing the research gaps reviewed from literature.

This study aims to assign efficiency score and then ranking the Indian companies known for best practices to control carbon-emission in the environment. It is destined to benchmark one company for best performance on the basis of selected alternatives among its peer group companies.

The present study has used a hybrid model by applying data envelopment analysis (DEA)-technique for order performance by similarity to ideal solution (TOPSIS) to measure the efficiency and ranking of various decision units on the basis of specified variables.

The findings of DEA have given the best alternative or best decision-making unit (DMU) among the set of 25 DMUs considered for empirical testing. The DEA technique is used with TOPSIS, which is another popular multi-criteria decision model. The integrated DEA-TOPSIS model has helped to compute the efficiency score of all 25 DMUs of study and also provide a unique rank to each of the efficient unit identified with the help of DEA technique.

The findings of the study have provided Benchmark Company amongst the companies following best practices for saving energy and having best operating profits too. This benchmark business unit can be studied extensively by peer group companies to compare various parameters affecting their efficiency and profits both.

The findings of the study will promote the socially responsible practices by corporate citizens and adopt the practices to reduce their carbon footprints. It will also suggest to socially responsible investors to select the benchmark and most efficient companies for investment purpose.

The study is original in terms of measuring efficiency and ranking of companies known for best practices for controlling their carbon footprints and suggesting a benchmark company to its peer group. Also, the integrated approach of using DEA-TOPSIS for such type of studies also makes it distinctive from earlier work done in the related field.

Understanding the effect of competitor’s marketing activities as well as analyzing the impact of one’s own marketing activities is equally important. The purpose of this paper is to determine the role of competing bank’s marketing activities (i.e. competitor’s price and product variety) and main bank’s characteristics (bank’s reputation and expertise) in the cross-buying intentions of customers by studying the interrelationships among these.

This study has adopted a hybrid model of confirmatory factor analysis and the decision-making trial and evaluation laboratory. Data were gathered from two different samples of bank customers and bank experts, using closed-ended questionnaire.

The results revealed that competitor’s price influences the cross-buying intentions of customers more than the reputation and expertise of primary bank. Bank’s reputation, expertise and competitor’s price were found causing factors. The remaining two factors, namely competitor’s product variety and cross-buying intentions, were belonging to the effect group.

For practice, this study guides banking institutions for resource allocation. Continuous and extensive staff training should be provided to sales staff. Bank should realize customers that they are getting much more value in return of what they are paying.

This study is one of few studies in marketing literature which investigates the effect of competitors on cross-buying.

We aim to analyze the capital structure heterogeneity for manufacturing and service sector firms. Additionally, we analyze the impact of the COVID-19 pandemic on the leverage adjustments of corporate firms.

This study applies the two-step system generalized method of moments (system-GMM) and panel data of 1,115 manufacturing and 482 service sector firms listed with the Bombay Stock Exchange (S&P BSE) from 2010 to 2023. We developed and analyzed three models. Model 1 analyzes the leverage determinants and speed of adjustment (SOA) for the manufacturing and service sectors. Model 2 evaluates the leverage SOA for various sub-sectors, and Model 3 analyzes the impact of the COVID-19 pandemic on the leverage SOA.

This study suggests the three following. First, the direction of leverage determinants suggests that manufacturing firms are highly tangible. In contrast, service sector firms are high-growth firms and recorded a higher SOA (12.01%) than manufacturing (9.09%). Second, analyzing the leverage heterogeneity, we found that SOA varies across the sub-sectors. For manufacturing, food and beverage sub-sector recorded the highest SOA (12.58%), while consumer durables reported the lowest (6.38%). Communication recorded the highest (24.15%) for services, while industrial services recorded the lowest (11.18%). Third, firms across sectors and sub-sectors increased their SOA during COVID-19 pandemic.

This in-depth analysis of leverage heterogeneity for different sectors and subsectors will assist policymakers, corporate managers and other stakeholders in making agile financial decisions.

The analysis of leverage heterogeneity for the manufacturing and service sector from the emerging Indian economy marks a novel contribution to existing literature.

This study aims to quantify and prioritize the financial performance (FP) determinants in Indian small and medium-sized enterprises (SMEs).

Analytic hierarchy process, a multi-criteria decision-making tool, was used. Experts were allowed to express the opinion regarding the relative importance of each factor and sub-factors by making pairwise comparisons through a structured questionnaire based on a nine-point scale.

Market orientation (0.4529) was perceived as the most important FP determinant followed by the entrepreneurial orientation (0.3382) and corporate social responsibility (0.2089) in SMEs.

This study can be considered as a pilot study because it is confined to Indian SMEs. Future research studies can incorporate the opinion or insights of other stakeholders and may target the SMEs situated in different geographical areas.

The inferences drawn in this study would clarify the conceptual and contextual applicability of competitive strategies in SMEs. Indeed, proposed hierarchy and developed framework would guide the SMEs in strategic planning. Moreover, it would help in repositioning and alignment of core strategies duly with business objectives.

The study represents the foremost step and a unique effort in the area of development of hypothetical model (a hierarchal model) with the framework considered to prioritize the FP determinants in SMEs.

The existing literature on venture capitalists’ (VCs’) exits provides insufficient evidence regarding factors affecting the exit decision. This study aims to identify these factors and examine how VC firms do ranking or prioritize these factors.

The study is based on primary data. The qualitative analysis was done to develop the survey instrument. Fuzzy analytical hierarchical process, which is a popular method of multi-criteria decision modeling, is used to identify or rank the determinants of exit strategy by venture capital firms in India.

Broadly, eight determinants of exit strategy are ranked by VCs. A total of 33 statements describe these eight determinants. The results are analyzed on the basis of four measures of VCs’ profile, i.e. age of VC firm, number of start-ups in portfolios, type of investment and amount of investment.

The survey instrument needs to be validated with a larger sample size and other financial backers than VCs.

The study has direct managerial implication for VC firms as it provides useful information regarding the determinants of exit strategy by VC firms in India. These findings can provide necessary information to other financial backers too, viz., angel investors, banks, non-banking financial institutions and other individual and syndicated set-ups providing funding to start-ups.

The current research is unique as no prior study has explored the determinants of VCs exit strategy and prioritizing these determinants.

The study aims to explore the role of digital economy and technology adoption for financial inclusion in the Indian context.

A conceptual framework was developed and hypotheses were tested through a survey conducted on 433 educated adults (males and females) residing in different districts of Rajasthan (India). Data was collected through a structured questionnaire and was subjected to confirmatory factor analysis. Structural equation modeling (second-order) was used to validate the measurement model and to test the mediating effect.

The measurement model is a confirmatory factor analysis and measures the reliability of the observed variables in relation to the latent constructs and indices shows the overall model fit. Structural model results indicate a complete mediation and a reflective impact (R² = 0.28) of the extended technology acceptance model on digital economy and financial inclusion relationship.

The study has taken into account only the perception of educated adults residing more specifically in one geographical area of a country. Thus, it limits the generalization of results in terms of implications to other regions and countries.

The proposed framework and implications are quite significant for policymakers and service providers to understand the nexus and strategic choices involved in this area. Moreover, understanding of user’s frame dependence would help in the development of digital assistive models that would perhaps mitigate the gap from participation (digital economy) to acceptance (financial inclusion).

Present study proposed a three-dimensional hypothetical model and conceptualized the digital economy (independent variable) as participation, behavioral intentions measured through the extended technology acceptance model (mediating variable) as adoption and financial inclusion (dependent variable) as acceptance to better understand the nexus. It represents the foremost step and a unique effort in this area. Moreover, the study was empirical and has wider applications both from the perspectives of end-users and service providers.