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This study aims to enhance our understanding of employee emotional competence (EEC) in the context of service failure and recovery. Accordingly, the present study investigates the relationship between perceived EEC and customer emotional attachment (CEA) through the mediating role of service recovery satisfaction (RES). Furthermore, the study examines the moderating impact of service failure severity (SFS) on the relationship between perceived EEC and RES.

A self-administered online survey was carried out to collect data. Using a convenience sampling technique, 195 US consumers were recruited from Prolific Academic. To test the hypotheses, this study employed partial least squares structural equation modeling (PLS-SEM).

According to the analysis, perceived EEC impacts CEA directly and indirectly via RES. Additionally, the study finds that consumers reported feeling more emotionally connected to the restaurant when they were satisfied with service recovery. Finally, the study identified that the connection between perceived EEC and RES increases with service failure severity.

This study emphasizes enhancing EEC through organization-wide training to increase customer satisfaction and emotional attachment to the service organization. Furthermore, it underscores the need for comprehensive employee training to categorize service failure severity and formulate appropriate recovery strategies.

The authors believe this is the first RES study to examine perceived EEC’s effect on CEA. By combining the affect infusion and cognitive appraisal theories to examine recovery satisfaction, this study contributes to the existing body of research on service recovery by shedding light on the relationship between perceived EEC and CEA. Furthermore, the study offers preliminary findings indicating an increase in the impact of perceived EEC on RES during high failure severity (SFS).

Rapid industrialization and construction generate substantial concrete waste, leading to significant environmental issues. Nearly 10 billion metric tonnes of concrete waste are produced globally per year. In addition, concrete also accelerates the consumption of natural resources, leading to the depletion of these natural resources. Therefore, this study uses artificial intelligence (AI) to examine the utilization of recycled concrete aggregate (RCA) in concrete.

An extensive database of 583 data points are collected from the literature for predictive modeling. Four machine learning algorithms, namely artificial neural network (ANN), random forest (RF), ridge regression (RR) and least adjacent shrinkage and selection operator (LASSO) regression (LR), in predicting simultaneously concrete compressive and tensile strength were evaluated. The dataset contains 10 independent variables and two dependent variables. Statistical parameters, including coefficient of determination (R²), mean square error (MSE), mean absolute error (MAE) and root mean square error (RMSE), were employed to assess the accuracy of the algorithms. In addition, K-fold cross-validation was employed to validate the obtained results, and SHapley Additive exPlanations (SHAP) analysis was applied to identify the most sensitive parameters out of the 10 input parameters.

The results indicate that the RF prediction model performance is better and more satisfactory than other algorithms. Furthermore, the ANN algorithm ranks as the second most accurate algorithm. However, RR and LR exhibit poor findings with low accuracy. K-fold cross-validation was successfully applied to validate the obtained results and SHAP analysis indicates that cement content and recycled aggregate percentages are the effective input parameter. Therefore, special attention should be given to sensitive parameters to enhance the concrete performance.

This study uniquely applies AI to optimize the use of RCA in concrete production. By evaluating four machine learning algorithms, ANN, RF, RR and LR on a comprehensive dataset, this study identities the most effective predictive models for concrete compressive and tensile strength. The use of SHAP analysis to determine key input parameters and K-fold cross-validation for result validation adds to the study robustness. The findings highlight the superior performance of the RF model and provide actionable insights into enhancing concrete performance with RCA, contributing to sustainable construction practice.

This study examines direct effect of leader-member exchange (LMEX) and learning orientation (LEOR) on workplace innovation (WPIN) and indirect effect between underline relationships in presence of mediators such as creative self-efficacy (CRSE), thrive at work (THAW), task interdependence (TAIN) work significance (WOSI) and creative performance (CRPE). Moreover, this study investigates the serial mediating effect of CRSE, WOSI, THAW, TAIN and CRPE between LMEX, LEOR and WPIN in entrepreneurial small and medium-sized enterprises (SMEs).

This study collected a total of 286 usable responses from entrepreneurial SMEs in three major business cities in Pakistan. In this cross-sectional study, data were gathered through self-administered surveys using purposive sampling approach and tested hypotheses using structural equation modeling (SEM).

The findings suggested insignificant direct effect of LMEX and LEOR on WPIN in the presence of mediators. Interestingly, CRSE, THAW, TAIN and CRPE were identified as significant mediators between LMEX, LEOR and WPIN. However, WOSI was found to be an insignificant mediator in the observed context. Moreover, the results revealed significant serial mediating effect of CRSE and CRPE with work context elements such as THAW and TAIN between LMEX, LEOR and WPIN, while serial mediating effect of WOSI in underline relationships found insignificant.

The study emphasizes that chief executive officers (CEOs) of entrepreneurial SMEs should prioritize individual, team and organizational factors to improve WPIN for competitiveness. Entrepreneurial management should focus on building strong relationships with employees to foster creativity and create a learning-oriented work environment that improves motivation and collaboration, thereby boosting employees' CRSE and CRPE, leading to enhanced WPIN.

This research offered a novel research framework and identified critical mediators and serial mediators between LMEX, LEOR and WPIN for entrepreneurial SMEs in developing countries, a domain grossly underrepresented in the literature.

This study aims to develop a comprehensive insolvency model tailored to Islamic banks, ensuring alignment with Shariah principles throughout pre-insolvency, bankruptcy and post-bankruptcy stages.

The research adopts a qualitative research method, using a desktop research approach. Primary sources and secondary sources are examined to gather information and draw conclusions.

This study presents a comprehensive insolvency model designed for Islamic banks, rooted in Shariah principles. The model covers pre-insolvency, bankruptcy (taflis) and post-bankruptcy stages, incorporating key Shariah parameters to ensure adherence to Islamic finance principles. It addresses challenges such as adapting to dynamic financial landscapes and varying interpretations of Shariah principles. Notably, the model recognizes the separate legal personality of Islamic banks and emphasizes transparency, fairness and compliance with religious obligations. In the post-bankruptcy stage, directors are urged to voluntarily settle remaining debts, aligning with ethical and Shariah-compliant standards.

The study contributes to the stability and growth of Shariah-compliant financial systems by extending insolvency principles to Islamic banks, providing a foundation for future research and policymaking specific to this context.

Several governments in developing countries have attempted via policies and programmes to improve access to low-cost housing (LCH) finance for low-income house owners, but sustainability has been an issue. Therefore, sustainable LCH (SLCH) financing framework may mitigate issues hindering LCH financing sustainability in developing countries. There is a paucity of studies about SLCH financing through a framework in Nigeria. Thus, the study investigated the barriers facing low-income earners (LInEs) accessing SLCH finance and developed a framework for promoting Nigerian SLCH financing.

The research employed a soft system methodology (SSM) to understand Nigeria’s LCH financing sustainability. The adopted method permitted a substitute to enhance LCH financing sustainability part way through a developed framework. The study conducted interviews across seven cities in Nigeria with selected practitioners.

The results were presented using the SSM seven steps. Findings reveal the state and barriers facing LInEs in accessing SLCH finance. Also, findings show that there is a need for a finance framework. It would improve sustainability, especially for intending low-income house owners across Nigeria’s cities. Findings include a framework to reposition LCH financing sustainability to promote homeowners for intending low-income house owners across Nigeria’s cities.

Besides the developed LCH financing sustainable framework, housing policymakers and developers can employ SLCH financing to improve low-income intending house owners in Nigeria. This may be the first study to develop a SLCH financing framework using SSM in a developing economy.

Sustainability is a pressing global issue that affects everyone on the planet. This study aims to provide a deeper understanding of the nuanced interplay between mindful organizing (MO), organizational learning capability (OLC), leadership commitment to sustainable development goals (SDGs) and sustainability performance, adopting the theoretical foundation of organizational learning.

The survey data from 728 middle management employees of exporting firms in Pakistan were collected at two points. The mediated moderation analysis was performed through structural equation modeling in AMOS 26.

The results indicate a positive relationship between MO and sustainability performance. The mediating effect of OLC highlights that firms that acquire, assimilate and apply knowledge and insights leverage their MO strategies to improve sustainability performance more effectively. Additionally, the leadership commitment to SDGs amplifies the positive effect of OLC on sustainability performance.

These results have important implications for managers and policymakers who seek to promote sustainability in organizations. The findings suggest that cultivating a mindful organizational culture and investing in learning capability enhance sustainability performance. Exporting firms should develop comprehensive learning programs that embed mindfulness and sustainability into the core of organizational culture. More interdisciplinary research is needed to integrate insights from environmental science, psychology, management and organizational behavior.

This research stands out for its integrative approach, practical relevance, empirical examination of important concepts and alignment with global sustainability goals. Exporting firms must understand how organizational learning capabilities and MO can be harnessed to achieve sustainable outcomes.

This study aims to explore the factors influencing Muslim behavior toward halal nutraceutical products in Malaysia.

This study used a quantitative survey approach to 400 Muslim respondents in Malaysia who have experience in consuming or purchasing nutraceutical products. The sampling technique used was multistage stratified sampling, and the data was analyzed using structural equation modeling.

This study revealed that perceived safety is the most influential factor contributing to Muslims’ behavior toward halal nutraceutical products in Malaysia, followed by Islamic values, trust, religiosity, maqasid al-Shariah and halal literacy.

This study has only focused on halal nutraceutical products from the perspective of Muslim consumers in Malaysia.

This study contributes to understanding the factors that influence Muslim consumers’ behavior toward halal nutraceutical products by adopting the Social Cognitive Theory and Islamic Theory of Consumer Behavior.

This study aims to examine the dynamic effect of FinTech on financial stability, with the moderating role of green finance (GF), its dimensions and mechanisms in the context of the spillover effects of the COVID-19 shock. This study used balanced panel data from 148 countries, including 76 developed and 72 emerging nations, from 2005 to 2022.

The research utilized the dynamic two-step system (GMM), and robustness was performed with the bootstrapped panel quantile regression.

The findings reveal that FinTech significantly affects financial stability across the entire sample. The overall composite of GF boosts financial stability by improving financial soundness. The GF dimensions, such as environmental, resource and financial, positively influence FS, while the GF economic dimension hurts FS. The moderating role and all interaction terms of GF dimensions with FinTech contribute positively and significantly to FS. While the interaction term GF resources with FinTech negatively impacts FS, indicating that countries should utilize resources more efficiently. Additionally, the COVID-19 spillover effect negatively influences FS across all samples. In advanced countries, FinTech and green finance positively affect FS. In emerging countries, green finance (except for the resource dimension) and FinTech interactions enhance financial stability, (except for the environmental dimension), leading to environmental hazards from their highly intensive industrial carbon policies.

The findings suggest that policymakers should prioritize promoting the adoption of initiatives related to FinTech and green finance by integrating sustainable transition finance policy frameworks to maintain stability and foster low-carbon economies for a sustainable future.

Improved financial stability has more significant social effects, such as better investment instruments, confidence and economic growth. Policymakers can leverage these findings to establish resilient financial ecosystems, fostering sustainable economic development and decreasing the risk of financial crises.

This study offers novel insights into how FinTech and multi-dimensional green finance effect financial stability in advanced and emerging nations. It provides unique insights into context-specific dynamics and enhances the literature on financial stability.

This study aims to fill the research gap in Nigeria and Africa concerning the role of records and archives in countering disinformation and misinformation.

Using a descriptive research design and qualitative method, the perspectives of LIS educators from two federal universities in Nigeria are explored. A purposive sampling technique was used to select both institutions and participants for the study by linking up with heads of each library school involved in the study. The data collection exercise started from the 3rd to the 19th of July 2023. In the process of conducting the study, 12 participants voluntarily participated in the interviews and discussion sessions lasted for two weeks interval.

The findings from the study highlight the crucial role of archives as guardians of primary sources, enabling fact-checkers to verify information and challenge deceptive narratives effectively. The findings also showed that archives also offer historical context, countering the distortion of information in disinformation campaigns. The study acknowledges challenges such as limited access to certain archival materials and concerns about data privacy, underscoring the importance of vigilance against manipulation and misinformation. Overall, the findings emphasized the significance of using archives to combat false information and create a well-informed society.

Three key recommendations emerged from the study: enhancing archival accessibility and digitalization, integrating archival materials into media literacy programs and fostering collaborative partnerships between archivists and fact-checkers. Implementing these recommendations will enable better utilization of insights from this study in countering disinformation and misinformation, ultimately mitigating their impact.

The purpose of this study was to investigate the implications of green knowledge sharing (GKS), organizational green culture (OGC) and green training and development (GTD) for organizational environmental citizenship behavior (OECB) in the hotel sector in Ghana.

Using self-administered survey procedures, 415 operational-level employees in hotel facilities provided the data and was analyzed through partial least square structural equation modeling. Bootstrapping was conducted using 10,000 subsamples and Importance-Performance Map Analysis (IPMA) performed.

It was established that GKS influences both OECB and OGC. OGC also influenced OECB and played a mediating role in the influence of GKS on OECB. Similarly, GTD played a positive moderating role in the link GKS has on OECB. Finally, it was revealed via IPMA that OECB’s most important antecedent is GKS.

Due to the roles of GKS and GTD in promoting OGC and OECB, organizations should motivate their employees to share green knowledge and also invest more in GTD. Gamification and sponsoring employees to attend GTD programs are examples of actions to be taken in this regard.

This study explores antecedents of OECB which is overlooked in the literature in general and specifically, hospitality industry-focused green studies. Using IPMA, it also determines the most important antecedent of OECB which most studies focused on the hospitality industry do not go further to do.