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This study aims to investigate the factors influencing consumer attitudes towards purchasing sustainable fashion. In particular, the authors examine the impact of self-transcendence and self-enhancement values on consumer attitudes towards purchasing sustainable fashion. The authors also examine the enablers (environmental concern, durability and fashion leadership) and barriers (fashion consciousness and price sensitivity) of sustainable fashion purchase behaviour.

The authors used a Web-based self-administered survey to collect data from 350 millennials. Partial least squares structural equation modelling was used to analyse data.

The findings indicate no substantial impact of self-transcendence values on attitudes towards sustainable fashion – while self-transcendence values exerted a notable effect on sustainable purchasing behaviour and environmental concerns. Furthermore, the results revealed no relationship between individuals’ attitudes towards sustainable fashion and their purchasing behaviour, whereas a strong relationship has been established between environmental concerns and attitudes towards sustainable fashion.

It provides empirical insights into factors that are pertinent in understating barriers and drivers of sustainable fashion behaviour among millennials.

This study uses the value-attitude-behaviour hierarchy to understand the purchase intentions of sustainable fashion, extending the range of sustainable consumption factors associated with attitudes and behaviour gaps.

Contemporary changes have occurred in country-level policies and tourists’ intentions in recent years. The role of maintaining a country’s image is trendy in crisis control but has not yet been discussed in domestic tourism research. Extending the Stimulus Organism Response model, this study aims to focus on “trustable WOM creation” in China. In addition, it aimed to discover how behavioral changes encourage domestic tourism intention (DTI).

This study explored the mediating role of DTI and the moderating role of maintenance of country image (MCI) for trustable word of mouth (WOM) creation. Using the snowball sampling technique, a structural equation modeling analysis (Smart PLS-4) was employed to analyze the data of 487 Chinese tourists.

Findings confirm that behavioral changes positively encourage domestic tourism and discourage international tourism, with significant negative moderation by MCI. MCI has an insignificant positive moderating effect between government-media trust and DTI. Furthermore, DTI positively and directly affects the creation of trustable WOM. In addition, it had a 20% mediation effect (VAF%) between behavioral changes and WOM creation, higher than the rejected mediation effect (12%), in the causal relationship between government-media trust and WOM creation.

WOM creation varies from different behavioral changes, but findings suggest that government-media trust and DTI influenced it significantly. Based on the study findings, the government and media can enhance domestic tourism by maintaining the country’s image. These findings both encourage and control the recovery of tourism.

This study provides a theoretical explanation for tourists' behavioral changes during the pandemic. Moreover, it shows that despite avoiding international tourism due to behavioral changes and government-media trust, MCI moderation with the mediation effect of DTI can create trustable WOM. To the best of the authors’ knowledge, this is the first study to theoretically promote tourism through DTI-induced psychology as a mediator and an organism affect prevailing among Chinese tourists.

This study intends to extend the unified theory of acceptance and use of technology (UTAUT) model by integrating perceived enjoyment as an intrinsic motivation so as to investigate factors influencing Chinese undergraduate English as a Foreign Language (EFL) students' intention to use ChatGPT for English learning.

A cross-sectional quantitative survey method research design was used in this study. Data were collected from 432 undergraduate students at two Chinese universities. The data analysis was carried out using SmartPLS 4, a computer software that employs the partial least squares structural equation modelling (PLS-SEM) technique. The analysis of the model was performed in two stages, including the assessment of reflective measurement model and structural model. The PLS predict was utilized to assess the model’s predicting power.

Findings showed that effort expectancy, performance expectancy, social influence and perceived enjoyment were positively related to Chinese undergraduate EFL learners' intention to use ChatGPT for English learning. Perceived enjoyment mediated the relationships between effort expectancy, performance expectancy, social influence and intention to use ChatGPT for English learning respectively.

Through incorporating the perceived enjoyment as an intrinsic motivation into the UTAUT model to explore factors that impact Chinese undergraduate EFL learners' intention to use ChatGPT for English learning, this study has extended the applicability of the UTAUT model and provide insights into factors affecting students' intention to utilize ChatGPT or other AI-based technologies for English learning.

The paper aims to develop a cogent and coherent research instrument to measure the effect of good citizenship actions by corporations on the commitment of their employees through micro-level research (i.e. based on the perceptions of employees’ themselves).

A three-phase modus operandi has been used, where at first scale, items have been phrased from a methodical review, then arranged and finally validated by factor analysis. For this, 240 forms filled out by the top-notch executives of selected Indian family conglomerates have been analysed through a split-sample approach.

The results of exploratory factor analysis and confirmatory factor analysis uncover and underpin three building blocks (employee fidelity, immersion and perseverance) and indicate 14 indicators to reflect employees’ strong commitment on account of corporation’s citizenship endeavours.

This measurement catalyst would function as a panacea while addressing the existing methodological gap (by conducting an all-inclusive micro-level exploration), conceptual gap (using the “extended view” of corporate citizenship) and contextual gap (through culture-specific examination). Also, it could complement the earlier macro-level investigations.

It would realistically support corporate practitioners in identifying how their good deeds of citizenship have been affecting the diverse sides of commitment among their most valued yet overlooked assets.

Corporate citizenship, a concept that has by now theoretical relevance for a company’s internal stakeholders and on the commitment, they manifested, can nonetheless obtain empirical significance as well through this micro-level instrument by divulging employees’ underlying facets of commitment.

Drawing upon social exchange theory, this study investigates how witnessed incivility is related to psychological distress for employees. In addition, scholars dug deep into the potential moderating effect of self-esteem that links witnessed incivility, employee silence and psychological distress.

In data were obtained from 292 bankers at family-owned banks. In this work, data analysis was performed using Smart-PLS covariance-based SEM version 4.

The study results indicate that employee silence mediates witnessed incivility and psychological distress. Findings also suggest that high self-esteem can mitigate the harmful effects of witnessed incivility, indirectly causing silence and psychological distress among employees.

Family-owned bank management should encourage employees to speak up, demonstrate self-esteem and share their concerns. Thus, reducing witnessed incivility increases well-being, stress, and mental health in Pakistani family-owned enterprises which operate in diverse industries.

In the context of family-owned banks, our study adds context and theory to the existing body of knowledge by illuminating the underlying process that relates incivility with psychological distress By exploring the use of social exchange theory.

This study aims to assess how envy, both directly and indirectly, through negative behaviors such as ostracism, negative word-of-mouth and alignment with the negative behaviors of superiors, influences innovative behavior based on the cultural dimension of individualism versus collectivism.

The data was collected using a survey applied to 305 individuals between October 2022 and June 2023. The model developed was analyzed and validated using partial least squares estimation with structural equation modeling (PLS-SEM) and PLS-SEM multigroup analysis techniques.

The results suggest that for individualistic individuals, negative word-of-mouth exerts a greater positive mediating influence on the relationship between envy and ostracism, and that envy exerts a greater positive influence on both alignment with the negative behaviors of superiors and on ostracism. In addition, the results indicate that negative word-of-mouth and ostracism together negatively influence the relationship between envy and innovative behavior.

This research provides empirical evidence that envy triggers negative behavior in both individualistic and collectivist individuals. Thus, in practical terms, envy can be considered as something more primitive that goes beyond the accepted values of sociability, especially in the organizational environment.

The main contribution of this research is to understand the effects of envy on innovative behavior, based on a conceptual model that considers the mental programs that differentiate one group of individuals from another. In addition, it presents theoretical and empirical implications that provide descriptive evidence of behaviors, making it possible to broaden the psychological understanding of them. In this specific sense, this research differs from other organizational studies, whose objectives are to standardize behavior.

Building a robust cold chain logistics system boosts the company’s profits in various ways. Any cold chain logistics company needs well-organised and efficient management of cold chain logistics to produce high-quality products, ensure that the product reaches the customer without any changes to the quality, and do so promptly. This paper aims to identify factors influencing cold chain logistics performance design. These factors are further helpful in analysing the behaviour intentions of stakeholders on increasing the cold chain logistic performance.

The authors conducted a thorough literature review to identify the variables that affect the performance of the cold chain logistics design. The factors were identified using exploratory factor analysis and empirically analysed using confirmatory factor analysis. The study also used structural equation modelling (SEM) to examine cold chain logistics performance determinants. Data was collected from 380 respondents working in the cold chain.

This study selected the factors influencing CCL performance, including five main factors and 22 sub-factors. Distribution, warehouse inventory storage, quality, demand, and technology affect the CCL’s performance. The results confirmed the theoretical model and proved that the factors significantly positively impact CCL performance.

Future studies should focus on actual case studies to confirm the usefulness of the parameters found, examine how they affect performance growth, provide important insights into how to improve overall business performance and assist in identifying crucial research hotspots.

The study provides insight into issues regarding performance development in cold chain logistics for various stakeholders associated with the cold chain logistics industry, including practical managers, academics, and consultants. It also argues in favour of giving problems with CCL performance a higher priority. Policymakers interested in the service sector, like the Indian Department of Commerce and MSMEs, make up a modest additional audience for this work.

Indian meat industry can be organised by implementing this methodology. This work benefits the government to get more transparent transaction and data digitalisation, which comes into account of GST.

There is a lack of significant quantitative literature suggesting modification strategies for factors affecting processed meat and chicken products in storage and transportation levels in India. Thus, this work tried to fill this gap and add the food chain logistics literature that helps practitioners and scholars enhance the food supply chain in developing countries.The framework developed for this study is where its originality lies. A detailed examination of cold chain logistics is included in the paper.

The study investigates the serial mediation of psychological ownership and workplace innovation in the nexus between organizational leadership and employee performance among healthcare workers in Ghana.

Six hundred and thirty-seven samples were selected using convenience sampling technique. The data gathered using self-reported questionnaire were analyzed using SEM-PLS.

The findings reveal that organizational leadership directly improves healthcare employee’s psychological ownership, workplace innovation and employee performance. Psychological ownership and workplace innovation separately and serially mediate the relationship between organizational leadership and healthcare employees’ performance.

The study highlights the significant influence of organizational leadership, psychological ownership and workplace innovation on the performance of healthcare employees. Healthcare organizations ought to allocate resources toward leadership development strategies to foster a favorable work atmosphere that promotes innovation and enables employees to assume ownership of their tasks and contribute to continuing enhancement, ultimately leading to enhanced performance.

This research is a pioneering study on serial mediation of psychological ownership and workplace behavior in the association between organizational leadership and performance in healthcare settings in Ghana.

This study aims to present a research model to investigate the potential impact of human capital, structural capital and social capital on e-banking proactiveness. In addition, it reveals the potential impact of e-banking proactiveness on competitive intelligence and competitive agility. Also, it aims to explore the impact of competitive intelligence on competitive advantage and competitive agility. Finally, the impact of competitive agility on competitive advantage will be examined.

In order to gather data, a questionnaire was prepared and administered to 211 respondents in Jordan. The research model and hypotheses were then assessed using Structural Equation Modeling – Partial Least Squares (SEM-PLS).

The study demonstrated a significant impact of human capital, structural capital and social capital on e-banking proactiveness. The findings confirm that e-banking proactiveness significantly impacts competitive intelligence and achieving competition. Moreover, the findings confirm that competitive intelligence significantly impacts competitive agility. Also, the findings revealed a substantial relationship between competitive intelligence and competitive advantage. Finally, the results discovered that competitive agility significantly impacts competitive advantage.

The research gives valuable insights into the elements that drive e-banking proactiveness, which can beautify the proactiveness literature is well-known. By uncovering the position of intellectual capital in fostering proactiveness, this examination contributes to deeper information on the way financial institutions can successfully respond to market modifications, patron needs and technological advancements. Future scholars can build upon these findings to discover proactiveness in different sectors and industries, thereby broadening the understanding of proactive behaviors throughout numerous contexts.