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Work and leisure, as important activity domains, play important roles in the lives of individuals. However, most previous studies focused on only the interference and negative effects of work on leisure, with little focus on the facilitation of work and the positive effects of work on leisure. In view of the shortcomings of previous studies, this study focuses on the facilitation effect of work on leisure and its impact on individual psychology. This study aims to explore the relationship between work–leisure facilitation (WLF) and turnover intention and the role of positive emotions and perceived supervisor support in this relationship.

In this study, the method of multipoint data collection was adopted to measure the subjects; 180 employees were sampled for 5 consecutive working days, and a multilevel structural equation model was established for analysis.

The results show that WLF is negatively related to turnover intention, and positive emotions play a mediating role in this relationship. Perceived supervisor support significantly positively moderates not only the relationship between WLF and positive emotions but also the indirect effect of WLF on turnover intention through positive emotions.

Based on affective events theory, this study explored the relationship between WLF and turnover intention and its mechanism by using the daily diary sampling method for the first time, to the best of the authors’ knowledge. The results not only deepen the understanding of affective events theory but also provide management suggestions for reducing employees’ turnover intentions.

Considering the importance of employees' voice behavior (VB) and psychological capital (PC) amidst the coronavirus disease 2019 (COVID-19), this study highlights the role of authentic leadership (AL) in building a psychologically strong workforce that can provide meaningful suggestions for the improvement of organization.

The study employed a questionnaire survey to collect the data and recruited 261 participants from the telecom sector Sindh, Pakistan. The data analysis was done using partial least squares structural equation modeling (PLS-SEM).

The findings of the study supported the hypotheses suggesting that AL can directly influence employees' VB and indirectly via PC.

The study was conducted during the COVID-19 in the telecom sector of Sindh, Pakistan. This study contributes by providing useful insights into that AL is an important form of leadership that encourages employees' voluntary behavior and psychological strength during the COVID-19 pandemic.

This study examines how chatbots could improve the client experience in the banking sector. Due to their quick and effective customer service, chatbots are becoming more and more popular, but it is still unknown whether they can improve the customer experience. In order to gather data from a simple random sample of Palestinian banking clients in the Gaza Strip, a survey was conducted utilizing the explanatory technique. To test hypotheses, data collected from 337 individuals was evaluated using simple regression analysis. According to the results, chatbots may enhance the customer experience by offering 24/7 availability, prompt support, and customized replies. However, issues with data privacy, lack of human interaction, and chatbot accuracy were also noted. The study comes to the conclusion that chatbots may be an effective tool for increasing customer experience in the banking sector, but their design, deployment, and interaction with current customer service channels must be carefully considered. This study significantly adds to the body of knowledge on chatbots and their potential influence on customer experience. The study offers useful insights into the particular difficulties and potential of employing chatbots in a highly regulated and customer-focused industry by concentrating exclusively on the banking sector. The results show that chatbot implementation in banking needs to be approached thoughtfully and strategically to maximize their potential for improving customer experience while limiting any possible downsides.

Trade credit is an important business-to-business marketing tool for building firms’ competitive advantage. Many studies explore the determinants of trade credits from a trust-based view, but the role of political connections is largely overlooked, despite their potential influence in assessing firms’ trustworthiness in the context of emerging economies. This study aims to fill this gap by examining how political connections affect the capacity of emerging economy firms (EEFs) to grant and receive trade credit.

This study tests a conceptual model using secondary data collected from 1,149 Chinese privately owned listed manufacturing firms between 2008 and 2016.

This study finds that political connections reduce EEFs’ accounts receivable and payable; their philanthropic activities alleviate this negative effect for accounts payable, while patent applications reduce it for accounts receivable. These findings suggest the effect of political connections can spillover to EEFs’ relationship with their up- and down-stream partners.

This study has implications EEF managers, particularly in pointing to the detrimental effect of political connections on relationships with buyers and suppliers, and highlights the need to adopt suitable approaches to offset this effect.

This study sheds new light on the negative effect of political connections on EEFs’ capacity to grant and receive trade credit in their exchanges with up-stream and down-stream partners. It enriches the trust-based view of trade credit by revealing the significant influence of EEFs’ political connections, while also advancing a contingency view by testing the moderating role of corporate philanthropic activities and patent applications.

This paper aims to investigate the moisture diffusion behavior in a system-in-package module systematically by moisture-thermalmechanical-coupled finite element modeling with different structure parameters under increasingly harsh environment.

A finite element model for a system-in-package module was built with moisture-thermal-mechanical-coupled effects to study the subsequences of hygrothermal conditions.

It was found in this paper that the moisture diffusion path was mainly dominated by hygrothermal conditions, though structure parameters can affect the moisture distribution. At lower temperatures (30°C~85°C), the direction of moisture diffusion was from the periphery to the center of the module, which was commonly found in simulations and literatures. However, at relatively higher temperatures (125°C~220°C), the diffusion was from printed circuit board (PCB) to EMC due to the concentration gradient from PCB to EMC across the EMC/PCB interface. It was also found that there exists a critical thickness for EMC and PCB during the moisture diffusion. When the thickness of EMC or PCB increased to a certain value, the diffusion of moisture reached a stable state, and the concentration on the die surface in the packaging module hardly changed. A quantified correlation between the moisture diffusion coefficient and the critical thickness was then proposed for structure parameter optimization in the design of system-in-package module.

The different moisture diffusion behaviors at low and high temperatures have seldom been reported before. This work can facilitate the understanding of moisture diffusion within a package and offer some methods about minimizing its effect by design optimization.

The study aims to optimize truck routes by minimizing social and economic costs. It introduces a strategy involving diverse drones and their potential for reusing at DNs based on flight range. In HTDRP-DC, trucks can select and transport various drones to LDs to reduce deprivation time. This study estimates the nonlinear deprivation cost function using a linear two-piece-wise function, leading to MILP formulations. A heuristic-based Benders Decomposition approach is implemented to address medium and large instances. Valid inequalities and a heuristic method enhance convergence boundaries, ensuring an efficient solution methodology.

Research has yet to address critical factors in disaster logistics: minimizing the social and economic costs simultaneously and using drones in relief distribution; deprivation as a social cost measures the human suffering from a shortage of relief supplies. The proposed hybrid truck-drone routing problem minimizing deprivation cost (HTDRP-DC) involves distributing relief supplies to dispersed demand nodes with undamaged (LDs) or damaged (DNs) access roads, utilizing multiple trucks and diverse drones. A Benders Decomposition approach is enhanced by accelerating techniques.

Incorporating deprivation and economic costs results in selecting optimal routes, effectively reducing the time required to assist affected areas. Additionally, employing various drone types and their reuse in damaged nodes reduces deprivation time and associated deprivation costs. The study employs valid inequalities and the heuristic method to solve the master problem, substantially reducing computational time and iterations compared to GAMS and classical Benders Decomposition Algorithm. The proposed heuristic-based Benders Decomposition approach is applied to a disaster in Tehran, demonstrating efficient solutions for the HTDRP-DC regarding computational time and convergence rate.

Current research introduces an HTDRP-DC problem that addresses minimizing deprivation costs considering the vehicle’s arrival time as the deprivation time, offering a unique solution to optimize route selection in relief distribution. Furthermore, integrating heuristic methods and valid inequalities into the Benders Decomposition approach enhances its effectiveness in solving complex routing challenges in disaster scenarios.

Cultural festivals have started to be held face-to-face with masks and distance measures after the gradual lifting of restrictions following the COVID-19 pandemic. On the other hand, the risk of COVID-19 transmission continues. This study aimed to test the relationship between participants' experience quality and life satisfaction and the moderator role of the COVID-19 risk perception in this relationship within the scope of the Festival on Wheels (Gezici Festival) as a cultural festival.

The data were collected by face-to-face and online survey techniques in Ankara, Sinop and Kastamonu cities in the context of the 26th Festival on Wheels. A total of 130 questionnaires were collected, and structural equation modelling was applied to the data analysis.

According to the findings, the experience quality with the dimensions of entertainment and escape has a significant effect on life satisfaction. On the other hand, the perceived risk of COVID-19 does not have a statistically significant effect on this relationship.

The results indicate that experience quality directly affects subjective life satisfaction, while the impact of the COVID-19 pandemic on event experiences and outcomes has begun to disappear.

Limited use of Internet of Things (IoT) technology on construction sites has restricted its value in the construction industry. To propel its widespread application, this paper explores the influencing factors and action paths of construction companies' IoT technology adoption behavior.

First, literature research, technology adoption theories, and semi-structured expert interviews were employed to build the adoption model. Second, a questionnaire survey was conducted among Chinese construction contractors to collect empirical data. Third, the structural equation model method and regression analysis were used to test the adoption model. Finally, the findings were further validated with interviews, case studies, and field observations.

External environmental pressure (EEP), perceived benefit (PB), top management support (TMS), company resource readiness (CRR), adoption intention (AI), and perceived compatibility (PCA) have a direct positive impact on adoption behavior (AB). In contrast, perceived cost (PC) and perceived complexity (PCL) exert a direct negative impact on AB. The EEP, PB, and PC are critical factors affecting AB, whereas AI is strongly affected by CRR and TMS. Besides, AI plays a part mediating role in the relationship between seven factors and AB. Company size and nature positively moderate AI's positive effect on AB.

This paper contributes to the knowledge of IoT technology adoption behavior in the construction sector by applying the technology adoption theories. Exploring the implementation barriers and drivers of IoT technology in construction sites from the perspective of organizational technology adoption behavior and introducing moderating variables to explain adoption behavior are innovations of this paper. The findings can help professionals better understand the IoT technology adoption barriers and enhance construction companies' adoption awareness, demand, and ability. This work also provides a reference for understanding the impact mechanism of the adoption behavior of other innovative technologies in construction.

Food-related innovations might contribute to a qualitative leap in the transition to sustainable food systems. In this article, the authors map the existing literature on food and innovation in order to identify and systematise major research streams and relate them to current discussions on sustainability. The authors rely on a broad definition of innovation covering specific technological innovations as well as social, environmental and system innovations.

The authors analysed the relationship between innovation and food through bibliometric and content analysis, augmented with visualisation based on data (N = 7,987) extracted from the Web of Science. The published volume, research areas and influential journals were investigated using descriptive analyses.

This review categorises the literature on innovation and food into six main clusters, showing that most of the studies are carried out at the macro-level related to the global sustainable food systems. Network visualisation allowed them to distribute recent keywords associated with innovation across the agri-food value chain. Moreover, the authors identified environmental, social and economic pillars of innovation, which not only relate to sustainability but also are associated with open innovation as well as social innovation and eco-innovation.

This bibliometric analysis is amongst the first to examine the holistic knowledge structure surrounding a triple concept of innovation, food and sustainability. In addition, the study identifies research gaps and indicates new research directions, which add further value.

In the era of the digital economy, higher demands are placed on versatile talents, and the cultivation of students with innovative and entrepreneurial abilities has become an important issue for the further development of higher education, thus leading to extensive and in-depth research by many scholars. The study summarizes the characteristics and patterns of dual-innovation education at different stages of development, hoping to provide a systematic model for the development of dual-innovation education in China and make up for the shortcomings.

This paper uses Citespace software to visualize and analyze the relevant literature in CNKI and Web of Science databases from a bibliometric perspective, focusing on quantitative analysis in terms of article trends, topic clustering, keyword co-linear networks and topic time evolution, etc., to summarize and sort out the development of innovation and entrepreneurship education research at home and abroad.

The study found that the external characteristics of the literature published in the field of bi-innovation education in China and abroad are slightly different, mainly in that foreign publishers are more closely connected and have formed a more stable ecosystem. In terms of research hotspots, China is still in a critical period of reforming its curriculum and teaching model, and research on the integration of specialization and creative education is in full swing, while foreign countries focus more on the cultivation of students' entrepreneurial awareness and the enhancement of individual effectiveness. In terms of cutting-edge analysis, the main research directions in China are “creative education”, “new engineering”, “integration of industry and education” and “rural revitalization”.

Innovation and entrepreneurship education in China is still in its infancy, and most of the studies lack an overall overview and comparison of foreign studies. Based on the econometric analysis of domestic and foreign literature, this paper proposes a path for domestic innovation and entrepreneurship education reform that can make China's future education reform more effective.