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This study aims to construct an appropriate framework by incorporating essential components from the most renowned theories to investigate the variables that impact behavioural intentions towards embracing cashless transactions (CLT).

A survey was conducted to ascertain the users’ intention to adopt CLT in Chennai, Tamil Nadu, India. Further, this study used a “partial least squares-based structural equation modelling” technique to analyse the relationships between latent factors.

The results of the proposed model revealed that 11 independent variables together explain the intention to use CLT with a 60.5% explanatory power. Further, perceived usefulness is the most influential factor in predicting users’ willingness to adopt CLT, followed by social influence, perceived costs, attitude, trust and device barriers. Finally, the findings of moderator effects indicate that income and experience interact positively and strongly with behavioural intention to adopt CLT. It indicates that high-income, experienced users are more likely to convert their intentions into actions.

This study integrated critical elements from the major theories, such as Theory of Reasoned Action, Technology Acceptance Model, Decomposed Theory of Planned Behaviour, the unified theory of acceptance and use of technology (UTAUT) model and UTAUT2, to investigate the adoption of CLT. As a result, 11 crucial factors were identified from the existing literature that impacts CLT adoption without overlapping. Consequently, the model presented in this study provides a more profound understanding than previous research regarding why individuals adopt CLT systems. Accordingly, these results could aid policymakers in addressing people’s concerns and facilitating a seamless transition to a cashless society.

Introduction: Historically, the corporate governance (CG) framework was designed primarily to safeguard the economic interests of shareholders, as a result of political and legal interventions, developing into an effective instrument for stakeholders and society in general.

Purpose: The core objectives of the study include: identifying journals/publications responsible for publishing CG studies in India, key CG issues covered by CG researchers, the amount of high-impact CG literature across different time periods, sectors/industries covered by CG researchers and different research instruments (quantitative or qualitative) used in CG studies in India.

Design/methodology: The chapter used a sample of 130 corporate governance studies that fulfil the selection criteria, drawn from the repository of over 100 reputed journals that are either recognised by the Australian Business Deans Council (ABDC) or indexed by SCOPUS. A systematic literature review has been carried out pertaining to CG issues in India, based on various statistical tools, data, industries, research outlets & citations, etc.

Findings: The results show an overwhelming number of studies have assessed the relationship between CG variables and firm performance, which could be measured through a variety of performance metrics such as ROA and ROI. Apart from empirical analysis, many conceptual studies use repetitive basic statistical tools like descriptive statistics or regression analysis. The chapter offers insights into current achievements and future development.

Originality/value: This bibliometric study is a useful guide for policymakers, corporate leaders, research organisations and management faculty to draw insights from work produced by eminent researchers in GC in India.

To identify and analyze the relevant themes in the literature on digital transformation and internationalization, revealing opportunities for future studies.

A systematic literature review was developed using the Scopus and Web of Science databases. Initially, 156 publications were identified. Based on inclusion/exclusion criteria, a final sample of 74 articles was reached. A bibliometric and qualitative analysis were developed.

Eight main themes related to internationalization, such as internationalization strategy, internationalized companies, marketing-related issues, export, global supply chain, entrepreneurship and new ventures, SMEs internationalization and internationalization of educational institutions, were identified. Eight main themes related to digital transformation were also identified, including internationalization drivers, digital technologies, business model innovation, digitalization, Industry 4.0, digital platforms and e-commerce, people and digital transformation and digital institutional environment.

In recent years, the term digital transformation has become part of the daily lives of many organizations and of life in society itself. For internationalized companies, this discussion has also become present. Although a relationship between digital transformation and internationalization is often presented, the dimensions of analysis of this relationship are still very fragmented, and this study presents a systemic view of the themes. These themes represent opportunities for future studies.

The relationship between corporate-level green entrepreneurial orientation (GEO) and the implementation of cleaner production practices (CPPs) is to a great extent unexplored in previous literature. This study aims to connect them with the corporate-level green supply chain learning and organizational competitive aggressiveness, presenting a novel interpretation of social ethics and morality in CPPs.

To thoroughly explore this novel relationship, this study has used PLS-SEM for examining the moderated-mediation of competitive aggressiveness and green supply chain learning.

Findings based on the data collected from 176 German firms have largely confirmed our propositions. Suggesting that there is a strong positive relationship between corporate level GEO and CPPs. Furthermore, our findings have confirmed that green supply chain learning mediates the macro-level relationship between GEO and CPPs. Moreover, it is also confirmed that the mediation of green supply chain learning in the macro-level relationship between GEO and CPPs is negatively moderated by competitive aggressiveness.

This study offers a first-hand view of negatively moderated-mediation of competitive aggressiveness. Therefore, its findings are extremely relevant for policymakers in the domain of morality, social ethics, corporate-level GEO, sustainability, corporate-level green supply chain learning and CPPs.

While existing research in organizational behavior has explored such constructs as perceived social impact and extra-role behaviors, there remains a limited understanding of how employees can make positive changes inside and outside the organization within their professional roles. This study aims to bridge the existing research gap by introducing a novel construct, Employee Social Impact Behavior (ESIB), alongside developing and validating a corresponding scale, the Employee Social Impact Behavior Scale (ESIBS), to measure employees' contributions both within their organizations and toward broader societal welfare.

The authors used Hinkin’s (1998) psychometric methodology to develop and validate the ESIBS. The process encompassed initial item generation, item reduction with reliability estimation, confirmatory factor analysis and convergent and discriminant validity examination. The authors used data from diverse samples to find that the ESIBS had a consistent unidimensional structure.

The scale exhibits both convergent and discriminant validity, and criterion-related validity is demonstrated through the scale’s relation with related constructs such as perceived social impact and extra-role behaviors. Overall, the ESIB is found to be a reliable and valid measure.

This study unveils a validated ESIB construct, serving both researchers and practitioners to assess impactful employee behaviors within organizations and toward society. This marks a pivotal enhancement in measuring contributions that extend beyond traditional organizational roles to broader societal change.

This research explores the impostor phenomenon (IP) within the context of gender and leadership, aiming to transform impostor feelings into catalysts for leadership empowerment and positive career outcomes.

Utilizing grounded theory, this study conducts in-depth interviews with 34 female Spanish senior executives to analyze their experiences with IP.

The research reveals that top executive women are not only affected by IP but can also harness it to foster personal and professional growth. It identifies key strategies – such as self-reflection, effective communication and cultivating positive habits – that enable women to transform IP into a lever for enhancing their careers. This approach leads to a proposed virtuous cycle model that empowers women to overcome the negative impacts of IP and advance their leadership capabilities.

This study contributes to the literature on gender and leadership by offering insights into the gendered nuances of IP. By framing IP as a potential catalyst for growth rather than a barrier, the study provides practical tools for human resource (HR) departments to promote gender diversity at senior levels. It also advocates for HR practices to dismantle internal barriers to women’s career progression and address conscious and unconscious gender biases.

The research on corporate social responsibility (CSR) and firm performance (FP) has seen a surge over the years. However, the role of corporate reputation (CR), advertising strategy and market competition is still unclear. The purpose of this study is to consider this gap and test an integrative model of CSR-FP, in the context of India.

The data for CSR expenditure were collected from the annual reports of the selected companies. CR was captured using the ranks of Fortune India 500, Business Standard 1,000 and Economic Times 500. The financial data were collected from CMIE (Prowess) database.

Results of structural equation modeling (SEM) revealed a significant relationship between CSR expenditure of the firm and its reputation; but no relationship between CR and performance. When CR increases, the performance of a firm may not improve. Competitive intensity (CI) had no statistically significant role in the CR-FP relationship for performance. Results suggest that reputed firms perform well despite high competition within an industry. High reputation is effective in improving performance irrespective of competition. CI has a positive impact in the reputation–performance linkage. Advertising intensity (AI) played a significant moderating role in the CSR intensity and CR relationship.

This research represents an added value for the literature on CSR by highlighting the importance of CR, advertising strategy and market competition in the relationship between CSR and FP. The findings have several implications for theory and practice, which have been discussed in the study.

The demand for electric vehicles (EVs) has significantly increased in recent years, though some countries like Sri Lanka have reported the opposite direction compared to the global trend. Hence, this study focused on identifying factors affecting EV purchase intention and barriers to the widespread adoption of EVs in a developing country context. Also, this study presents an overview of the theoretical perspectives utilized for understanding consumer intentions and adoption behavior toward alternative fuel vehicles (AFVs).

The questionnaire method was employed, and 394 individuals who lived in Colombo City, Sri Lanka, with valid driving licenses and a hybrid or conventional vehicle were the study sample. The partial least squares structural equation modeling (PLS-SEM) was used to test the research hypothesis.

The findings confirmed that the three relationships between the unified theory of acceptance and use of technology (UTAUT) variables and EV purchase intention are significant, and there is no significant moderator effect from the consumer’s perceived risk.

These results offer useful information for governments and EV companies to better understand consumer behavior toward purchasing EVs.

Although risk culture is a key determinant for an effective risk management, identifying the risk culture of a firm can be challenging due to the abstract concept of culture. This paper proposes a novel approach that uses unsupervised machine learning techniques to identify significant features needed to assess and differentiate between different forms of risk culture.

To convert the unstructured text in our sample of banks' 10K reports into structured data, a two-dimensional dictionary for text mining is built to capture risk culture characteristics and the bank's attitude towards the risk culture characteristics. A principal component analysis (PCA) reduction technique is applied to extract the significant features that define risk culture, before using a K-means unsupervised learning to cluster the reports into distinct risk culture groups.

The PCA identifies uncertainty, litigious and constraining sentiments among risk culture features to be significant in defining the risk culture of banks. Cluster analysis on the PCA factors proposes three distinct risk culture clusters: good, fair and poor. Consistent with regulatory expectations, a good or fair risk culture in banks is characterized by high profitability ratios, bank stability, lower default risk and good governance.

The relationship between culture and risk management can be difficult to study given that it is hard to measure culture from traditional data sources that are messy and diverse. This study offers a better understanding of risk culture using an unsupervised machine learning approach.

The purpose of this study is to investigate the significance and impact of strategic knowledge management (SKM) practices and organisational change capacity (OCC) in improving strategic thinking and strategic orientation in small and medium-sized enterprises (SMEs) and their contribution in overall improvement of entrepreneurial performance.

Quantitative research methodology using partial least square structural equation modelling with data of 296 sample from the target group as managers and owners from various SMEs in the UK has been used in the study.

The findings suggest that SMEs that invest in SKM and OCC are more proficient at adjusting to fluctuations in the business landscape and develop effective strategies that lead to improved entrepreneurial performance. The study provides evidence that SKM encompasses more than just the acquisition and use of information. It also involves the establishment of a learning and innovation culture that facilitates strategic thinking and direction. Similarly, OCC is not just about implementing change but also about developing the agility and flexibility to adapt to market changes, consumer demands and technology.

According to the research, SMEs may boost their entrepreneurial performance and keep a competitive advantage in the modern, dynamic business environment by investing in SKM and OCC. The capacity of SMEs to implement SKM and organisational change should be encouraged and supported by policymakers and practitioners, who should also offer the necessary tools and assistance to do so.

This study offers a valuable addition to the previously published works on SKM and OCC within SMEs. It offers empirical data that highlights the significance of SKM and OCC in fostering strategic thinking, strategic orientation and ultimately, boosting entrepreneurial performance. The study also highlights the challenges faced by SMEs in implementing SKM and OCC and provides recommendations for overcoming these challenges.