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This paper aims to develop a framework that aids in achieving the desired state of financial performance for corporate enterprises based on distinct configurations of corporate governance (CG) practices.

This study uses a fuzzy-based system to arrive at a definitive configuration of CG practices that lead to a specific level of firm’s performance.

This analysis of the panel data of 92 National Stock Exchange–listed companies conducted for RONW on selected CG variables shows that eight fuzzy configurations lead to a particular state of RONW. The authors compare the results with the conventional regression-based scoring models.

Corporate enterprises can use the derived bundles of CG practices leading to a specific set of financial performance (RONW) to aid the decision-making process in defining and implementing their governance structures. The regulators can modify or customize the law-mandated CG practices to reduce redundancies and promote the national agenda of economic efficiency.

The increasing globalization and technological advancements have increased the information spillover on stock markets from various variables. However, there is a dearth of a comprehensive review of how stock market volatility is influenced by macro and firm-level factors. Therefore, this study aims to fill this gap by systematically reviewing the major factors impacting stock market volatility.

This study uses a combination of bibliometric and systematic literature review techniques. A data set of 54 articles published in quality journals from the Australian Business Deans Council (ABDC) list is gathered from the Scopus database. This data set is used to determine the leading contributors and contributions. The content analysis of these articles sheds light on the factors influencing market volatility and the potential research directions in this subject area.

The findings show that researchers in this sector are becoming more interested in studying the association of stock markets with “cryptocurrencies” and “bitcoin” during “COVID-19.” The outcomes of this study indicate that most studies found oil prices, policy uncertainty and investor sentiments have a significant impact on market volatility. However, there were mixed results on the impact of institutional flows and algorithmic trading on stock volatility, and a consensus cannot be established. This study also identifies the gaps and paves the way for future research in this subject area.

This paper fills the gap in the existing literature by comprehensively reviewing the articles on major factors impacting stock market volatility highlighting the theoretical relationship and empirical results.

This study examines how domestic honeymoon destination quality contributes to achieving honeymooners' fantasy experience and how fantasy experience impacts honeymooners' revisit intention.

Using the convenience sampling technique, 202 self-administrated survey questionnaires were collected (184 considered useable) from domestic honeymooners who had experienced honeymoon trip. The analysis was performed by employing partial least squares structural equation modeling (PLS-SEM) using SmartPLS 4.0.

The findings indicate that honeymoon destination image strongly and significantly influenced honeymooners' fantasy experience, followed by honeymooners' privileges, service providers, social aspects and accommodation. At the same time, the dining experience and honeymoon expenses had no significant impact on the honeymooners' fantasy experience. Notably, honeymooners' fantasy experience also had a strong and significant effect on their revisit intention to honeymoon destination in the future.

This study has an important theoretical contribution, being the first to explore the post-consumption behavior, that is, fantasy experience and revisit intention of domestic honeymooners in tourism literature. The study also has important implications for tourism industry stakeholders, that is, government, tourism department and officials, honeymoon tour planners and hotel managers, to make honeymoon destinations more attractive and fascinating, especially among newlywed couples and the young generation of tourists.

The present study is an attempt to extend the Model of Goal-directed Behavior (MGB) to consider health consciousness and perceived privacy protection as two critical factors to predict desire and intention by individuals to adopt and use wearable health devices (WHDs).

Based on the literature review hypotheses were framed and tested using data collected through a questionnaire survey. A total of 418 self-reported complete responses were considered to analyze the hypotheses proposed in the study. Structural equation modeling, effects analysis and model comparison (MGB and extended MGB) were performed to understand the predictability of the suggested model.

The results of the study corroborate that along with MGB, health consciousness and perceived privacy protection also induces the intention of users toward using WHDs. Health-consciousness is found to have a positive and significant direct and indirect impact on intention to use WHDs. Further, the model comparison exhibits that the proposed extended MGB is a better predictor of intention to use WHDs.

Apart from the conventional framework of MGB, health consciousness and perceived privacy protection promote desire and intention to use WHDs. This research provides a framework for marketers to promote health consciousness among consumers by motivating them to adopt WHDs. Further, privacy protection features should be showcased in order to induce trust in consumers which in turn will trigger their intention to use WHDs to lead a healthy lifestyle.

The current study incorporates health consciousness and perceived privacy protection in MGB to fit into the context of healthcare intention study, which enhances the predictability of intention behavior of consumers and adds to the existing body of MGB and healthcare literature.

The purpose of this paper is to examine the risk perception of project sponsors in financing of public–private partnership (PPP) infrastructure projects in India.

The methodology used is survey questionnaire that seeks the perception of risk managers in PPP projects. Rating and relative ranking of risk at various phases of PPP project have been analyzed and supplemented by unstructured interviews.

This paper shows that the perception of project sponsors for various levels of project risk categories differ significantly in PPP infrastructure projects. The practices of assessing risk and handling differ among the financing institutions. The ranking of risks shows a disagreement among respondents for relative importance. The project financiers that include major banks and financial institutions funding for the PPP infrastructure projects perceive risks differently, and their disagreement on the relative importance of risks may create a sub-optimality in risk management, and the essence of project sponsorship may be lost.

This paper examines the perceptions of the various risks involved in PPP infrastructure project financing. The authors emphasize on the infrastructure projects in the transportation and energy sector that are undertaken in the PPPs. This research can further be extended to the other infrastructure sectors such as roads, shipping and communication.

Experiences reveal that risk perception profoundly influence the implementation of infrastructure projects involving PPPs. To ensure smooth implementation and success of PPP infrastructure projects, the project sponsors must align, synchronize and develop consensus on the various funding and non-funding risks into the project curriculum.

The PPP infrastructure projects carry huge investment and are of strategic importance to the nation and society. In order that the provision of infrastructure which can be most economically and efficiently delivered through PPPs, the risk concordance assumes crucial importance.

The authors believe that this research may provide new direction to the visible and invisible misbalances in risk postures of project partners, which has been a cause of concern to the government and policymakers in India in the recent times.

The purpose of this paper is to propose a typology of the information sources for new customers or suppliers on the basis of their existing relational linkage with the acquiring firm and to further explore whether various types of information sources for new customers and suppliers have any differential effect on a firm’s immediate innovation output.

The research sample was taken from the data collected by WB enterprise surveys (2005). The WB enterprise survey is considerably comprehensive for firm-level data. Relevant questions for the study were extracted from the survey. Simultaneously, EFA, CFA and SEM using AMOS 6.0 was run for the analysis.

The findings confirm that sources for a new customer and supplier with a strong relational aspect have a significant positive effect on a firm’s innovation output in the immediately following period.

The research acknowledges the need to measure the effect of new supplier/customer on innovation depending on the type of information sources separately for product and process innovation as one of the major limitations.

This research can help managers obtain information of holistic and critical nature to incorporate in decision making for improving firm performance in innovation.

Customers and suppliers are well-established external sources of innovation ideas and information. But to what extant new customers or suppliers may be effective resources for innovation may depend largely on the sources through which they themselves are acquired by a firm, which is relatively unexplored. This study addresses the gap is the first of its kind to explore the role of the sources of information for new customer/supplier on a firm’s innovation output in the immediately following period.

The purpose of this paper is to investigate the barriers of Lean Six Sigma (LSS) and develop the interrelationship among them using interpretive structural modelling (ISM) and Matriced Impact Croises Multiplication Appliquee a un Classement (MICMAC).

Using systematic literature review and expert’s opinions, 26 LSS barriers have been extracted and finalized through statistical analysis, that is importance-index analysis and corrected item minus total correlation methods. The statistical analysis of purified 22 LSS barriers has been carried out and consistency of finalized barriers has been checked through reliability statistical test in Statistical Package for the Social Sciences software. Finally, the contextual relationship among finalized LSS barriers is developed using ISM and MICMAC approach.

The ISM model indicates that insufficient management commitment and involvement, lack of resources, lack of training and education, lack of strategic thinking, lack of training funds are strategic factors; improper project selection, poor selection of employee for belt training, lack of total employee involvement, lack of awareness of about LSS are prudent factors; unclear vision, high implementation cost, resistance to culture change, weak supplier linkage, poor alignment between company’s goal and customer demand are burst factors. Furthermore, MICMAC analysis is splitting the LSSBs in four clusters according to their driving power and dependency. These results provide a clear mind-set to engineering manager for focusing more on LSS barriers according to their driving power and dependency.

There may be biasness in making pairwise comparison matrix of barriers due to involvement of expert’s opinion as human error.

The outcome of this paper provides robust practical implication for LSS researchers and practitioners. The researcher and practitioners must consciously concentrate on the identified LSSBs more conventionally during LSS implementation, and they need to plan strategically to avoid any implementation failure.

For successful implementation of LSS in any organization, it is necessary and permeable to make strategy for controlling LSS barriers at initial stage. So this paper is a leading attempt to highlight main LSS barriers and interrelate them using ISM and MICMAC approach. It provides a clear path for tackling LSS barriers to engineering managers, researchers and consultants.

This study aims to examine the relationship between brand personality and customer-based brand equity (CBBE) by investigating the mediating role of consumer-brand relationship (CBR), which is represented through three variables, namely, brand trust, attachment and commitment.

This study adopts a cross-sectional descriptive research design. It included a mix of symbolic and utilitarian brands, namely, Pepsi and Sprite (soft drinks), Levi’s and Peter England (clothing), Pantene and Head and Shoulders (shampoos) based on their greater familiarity among Indian consumers. Primary data were gathered from 612 respondents through a self-administered online questionnaire survey approach. Structural equation modeling was performed to analyze data and validate the research model.

The present study establishes both direct, as well as the indirect linkage between brand personality and CBBE. Results also suggest a partial mediating role of the variables representing CBR while linking brand personality to CBBE.

The present study makes two contributions. First, it advances existing literature on brand personality and brand equity by establishing the mediating role of the CBR while linking brand personality to CBBE. Second, it establishes the importance of both the trust and attachment-based commitment mediator model of CBR influencing CBBE, which has not been addressed by prior studies.

This study aims to examine the impact of institutional investors and their classes on the stock return volatility of an emerging market. The paper also determines the moderating role of firm size, crisis and turnover on such relationships.

The study covers nonfinancial companies of the Bombay Stock Exchange-100 index that are listed during the study period. The study uses fixed effects and systematic generalized method of moments estimators to look over the association between institutional investors and firms’ stock return volatility.

The study provides evidence that institutional investors destabilize the Indian stock market. It indicates that institutional investors do not engage in management activities; they earn short-term gains depending on information efficiency. Pressure-insensitive institutional investors have a significant positive relation with stock return volatility, while pressure-sensitive institutional investors do not. The study also reflects that pressure-sensitive institutional investors are underweighted in India, which jointly represents an insignificant nonlinear association between institutional ownership and stocks’ volatility. Furthermore, outcomes reveal that the intersection effect of the crisis, firm size and turnover is positively and significantly related to such relationships.

The outcomes encourage initiatives that keep track of institutional investors in the Indian stock market. To control the destabilizing effect of pressure-insensitive institutional investors, regulators should follow strict regulations on their trading patterns. Moreover, it guides the potential researchers that they should also take into account the impact of other classes of ownership structure or what type of ownership can help in stabilizing or destabilizing the Indian stock market.

Abundant literature studies the relationship between institutional ownership and firm performance in the Indian context. From the standpoint of making management decisions, the return and volatility of stock returns are both different aspects. However, this study examines the effect of institutional ownership and its groups on the volatility of stock return using the panel data estimator, which was previously not discussed in the literature.

The growing trend in environmental, social and governance (ESG) research, along with its relevance to the financial performance of firms, has gained a lot of attraction in academia and industry. This study aims to fill the existing gap in the literature by conducting a thorough systematic review with the latest research articles in this area.

This study adopted a blend of systematic literature review and bibliometric techniques. A proper search string was used to retrieve the data from the Scopus database. The final dataset comprises 296 documents used for science mapping, and the review was done of 60 articles finalised after further refining the documents.

The results of this study indicate that stakeholder, legitimacy and signalling theories are the foundation for ESG and financial performance. Social firms have a lower capital cost because of their low-risk potential. Moreover, this study provides the knowledge structure by framing four clusters, “CSR/ESG determinants and firm performance”, “Moderators and Mediators”, “Investors’ perception” and “CSR in the tourism sector”.

This study has reviewed the literature with both tools, that is, qualitative (systematic review) and quantitative (bibliometric). Moreover, this study presents the latest synthesis of the literature.