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This paper aims to develop and validate a cashless transaction adoption model (CTAM) that integrates all essential elements to investigate the adoption of “cashless transactions (CLT)”.

The researchers surveyed 375 respondents from each of Bengaluru’s eight zones in India. In addition, using the respondents’ replies, a “partial least squares-based structural equation modelling (PLS-SEM)” technique was used to analyse the relationship between the components.

The results of CTAM reveal that 12 independent variables explain 84.7% of the variation in behavioural intention to adopt CLT. In addition, performance expectancy is the strongest predictor of users’ intentions to embrace CLT, followed by perceptions of the economy’s security and economic offence reduction, social influence, perceived trustworthiness, the expected level of effort and innovativeness. Furthermore, in terms of impediments, perceived risk and cost are the negative influence factors that affect behavioural intention to adopt CLT.

The research successfully developed and validated a comprehensive CTAM that integrates essential elements to investigate the adoption of CLT. Consequently, this research, for the first time, elucidates the precise role of “Perceived Economic Offense Reduction (PEOR)”, “Perceived Economic Benefit (PEB)” and “Perceived Economy’s Security (PES)” in influencing individuals’ behavioural intentions towards adopting CLT. Accordingly, this CTAM offers a more in-depth explanation than any other research for understanding why individuals embrace CLT systems.

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.

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.

After analyzing these uncountable benefits of digital or cashless payment, many European countries like Sweden, Finland and Canada has been trying to convert their payment system into cashless. Following these developed countries, the Bangladesh Government has taken a decision to transfer society as a cashless society by using information technologies for adopting the fourth industrial revolution over the world. Digital payment system is among the various options available for transforming a cashless society. First, this empirical study presents demographic information and digital payment characteristics on the basis of income levels. This study identifies influential factors of adopting digital payment systems. Finally, this study aims to justify how digital payments transform the Bangladeshi economy into a cashless society in developing countries.

The study was administered to a sample of 1,000 Bangladeshi customers who had engaged in online banking transactions for the purpose of acquiring items and services through both social media platforms in Google Form format and face-to-face interactions in hard copy format. Among these, 647 questions were deemed usable and were used for data analysis, where the response rate was 68%. The SmartPLS is used to create and validate the structural equation modeling model presented for the research, as well as to evaluate the hypothesized correlations between the different constructs.

This cross-sectional study conducted the extended technology acceptance model (TAM) with perceived security (PS) and personal innovation (PI) variables to identify the influencing adoption factors of digital payment systems. This study finds that perceived ease of use, PI and perceived usefulness have a favorable impact on individuals’ attitudes toward adopting digital payment methods (DPMs). The study also indicated that PS did not influence negatively the adoption of digital payment system. Besides this, the adoption of digital payment will help to transform society into a cashless society in the future.

Increasingly prevalent across the nation. Several variables are required to facilitate the transition toward a cashless society. This study exclusively focuses on DPMs. Additionally, the data has been obtained exclusively from a single urban area. The adoption of DPMs has become increasingly prevalent across the nation.

This study would help policymakers, marketers and bankers understand which factors affect digital payment infrastructure expansion. So, they can produce digital payment apps that are compatible with different devices, have fast transactions, are user-friendly, easy to use and highly secure to maintain good attitudes toward digital payment systems.

Few studies have examined how DPMs affect cashless societies in developing countries like Bangladesh. According to researchers, to the best of the authors’ knowledge, this is the first study to explore how digital payments affect cashless society in Bangladesh and raise awareness about it.

The study extended the TAM model to PS and PI. This paper is also unique in the conceptual arguments and the subject theme of the research area.

This paper aims to synthesise the latest literature on supply chain operations of offsite manufacturing in the construction industry to identify and evaluate the uncertainties at each stage of the offsite construction supply chain (OSC-SC) to compile contributions to knowledge and thereby determine the future research directions to improve supply chain resilience (SCR).

The study was conducted as a systematic literature review. In total, 99 peer-reviewed journal papers published between 2015 and mid-2022 were shortlisted and analysed through the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

The bibliometric analysis revealed that the research focusing on supply chain issues and developing best practices in offsite construction adopt case study approaches to investigate the research problems comprehensively. The content analysis revealed the lack of up-to-date knowledge in the construction workforce regarding OSC; low preparedness for the changes brought by the SC uncertainties; the lack of a proper procurement model for OSC; lack of end-to-end visibility of the supply chain to identify uncertainties and lack of national or government standards on OSC-SC, as some of the key problems instigating the identified the uncertainties.

This study clarifies the current knowledge by systematically presenting uncertainties at each stage of the OSC-SC. Moreover, it provides a framework and proposes that future research should focus specifically on individual/team, organisational, supply chain/network and sector/national/supranational levels to improve SCR.

Many work-related factors particularly affect the mental well-being of young construction workers and subsequently affect their productivity at work. Young construction workers in South Australia are more vulnerable than other workers because they consider the distress arising from work-related factors to be part of adapting to a new work life. Therefore, this study seeks to draw out the work-related factors that affect the mental well-being of young construction workers.

The study employed a sequential mixed method approach including a preliminary qualitative case study and a quantitative survey. Around 20 interviews across two organisations were conducted in the initial case study and content analysis was used to contextualise the factors and identify new factors. Then, the outcome of the case study was fed into a questionnaire survey for further analysis. The survey received 43 valid responses. Principal component analysis (PCA) was performed on the survey outcome to assess and categorise the work-related factors.

The findings indicate ten prominent work-related factors contributing to poor mental well-being of young construction workers related to three main categories of factors, namely “nature of work”, “task-related stress” and “unsupportive behaviour”. The work-related factors that have the greatest impact on mental well-being are the machoism culture of industry, work overload and workplace bullying.

The outcome from this study enhances the understanding of key work-related factors affecting the mental well-being of young construction workers. Research findings would also help inform the development of clear, industry-informed initiatives tailored to protect and support young construction workers.

The pressing issues of climate change and environmental degradation call for a reevaluation of how we approach economic activities. Both leaders and corporations are now shifting their focus, toward adopting practices and embracing the concept of circular economy (CE). Within this context, the Food and Beverage (F&B) sector, which significantly contributes to greenhouse gas (GHG) emissions, holds the potential for undergoing transformations. This study aims to explore the role that Artificial Intelligence (AI) can play in facilitating the adoption of CE principles, within the F&B sector.

This research employs the Best Worst Method, a technique in multi-criteria decision-making. It focuses on identifying and ranking the challenges in implementing AI-driven CE in the F&B sector, with expert insights enhancing the ranking’s credibility and precision.

The study reveals and prioritizes barriers to AI-supported CE in the F&B sector and offers actionable insights. It also outlines strategies to overcome these barriers, providing a targeted roadmap for businesses seeking sustainable practices.

This research is socially significant as it supports the F&B industry’s shift to sustainable practices. It identifies key barriers and solutions, contributing to global climate change mitigation and sustainable development.

The research addresses a gap in literature at the intersection of AI and CE in the F&B sector. It introduces a system to rank challenges and strategies, offering distinct insights for academia and industry stakeholders.

This study aims to argue that responses in economic growth (EG) resulting from positive and negative shocks in energy consumption could be a non-linear phenomenon. Thus, the study aims to investigate the existence of non-linear long-run effects of positive and negative shocks in green and conventional energy consumption on EG for China and India. By decomposing energy consumption in positive and negative shocks, the study seeks to determine the distinct impact of positive and negative shocks in energy (conventional and green) consumption on EG of China and India.

A non-linear autoregressive distributed lag (NARDL) model based on energy-augmented environment Kuznets curve (EKC) framework is used on annual time series covering the period 1965–2021. The study uses a precise econometric methodology, starting with unit root tests to assess stationarity, moving to the estimation of the NARDL model, which resulted in the calculation of long-run coefficients and error correction terms to analyse the rate of adjustment towards equilibrium.

The empirical findings demonstrate that there exists a non-linear cointegrating relationship among EG, carbon emissions and green and conventional energy consumption for both economies. In the long run, a non-linear impact of green energy consumption (GEC) on EG is evident for China only, whereas non-linear impact of conventional energy consumption (CEC) on EG is visible for both countries.

While China and India prioritise energy diversification by embracing green energy to promote energy security and limit rising carbon emissions, it is interesting to investigate how positive and negative shocks in GEC and CEC have affected their EG. Second, this paper examines the trade-offs between EG and GEC/CEC in China and India, two high-carbon emitters. The disparities in trade-offs may indicate how well each country’s energy policies address increased EG with fewer energy-induced carbon emissions.

This study examines non-linear cointegration among the variables of interest, whereas most prior studies have focused on linear cointegration. The existence of non-linear cointegration may suggest that positive and negative shocks in GEC and CEC can result in non-linear reactions in EG. Thus, it establishes a basis for examining the non-linear long-term effects of GEC and CEC on EG. The research findings indicate significant consequences and necessitate prompt intervention to alleviate the detrimental impacts of shocks in GEC and CEC on EG in China and India and provide several important inputs to address the inherent challenges of energy transition goals.

This study aims to examine the role of employee experience in influencing employee well-being and turnover intentions within organizations. The mediating role of well-being will also be investigated, along with an exploration of whether these relationships differ across genders, specifically in the Indian corporate context.

A descriptive, quantitative study was conducted using structured questionnaires to gather data from 111 employees in the Indian corporate sector. The study used a non-probability judgment sampling method. Data was analyzed through SPSS for descriptive and inferential statistics, and partial least squares was used to explore mediation and model fit.

The study found a significant impact of employee experience on well-being, as well as a negative correlation between both employee experience and turnover intention and well-being and turnover intention. Well-being was found to partially mediate the relationship between employee experience and turnover intention. Gender-based analysis revealed no significant differences in the relationships between these variables for men and women.

This research highlights the universal applicability of employee experience as a predictor of well-being and turnover intention, irrespective of gender. By establishing that gender does not moderate these relationships, this study provides new insights challenging traditional assumptions about gender disparities in workplace outcomes.

The purpose of the this study is to discover the impact of practices of knowledge management, intellectual property protection and management innovation on entrepreneurial leadership, which in turn leads to sustainable growth in small and medium-sized enterprises.

The data was collected from 292 small and medium-sized businesses (SMEs) in the USA using a cross-sectional survey. To evaluate the study hypotheses and analyse the data, structural equation modelling was used. SMART-PLS software was used for both confirmatory factor analysis and structural analysis.

The work has significantly contributed in revealing that knowledge management practices, management innovation and intellectual property protection have a substantial and constructive impact on entrepreneurial leadership, which in turn leads to sustainable growth in SMEs.

The study findings recommend that SMEs must focus on knowledge management practices, intellectual property protection and management innovation to nurture entrepreneurial leadership, which can lead to sustainable growth. SMEs can benefit from investing in knowledge management practices, protecting their intellectual property and innovating their management practices to achieve sustainable growth. Also, the absorptive capacity of an SME can help it to aggravate the impact of the above factors and lead them to sustainable growth faster.

The current work studies the association between knowledge management practices, intellectual property protection, management innovation, entrepreneurial leadership and sustainable growth in SMEs, thus contributing to the literature. The study provides insights into the factors that can nurture entrepreneurial leadership and contribute to sustainable growth in SMEs, which can inform policy and practice in the field of entrepreneurship.