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Grounded in the Social Exchange theory, this study focuses on the perception of digital leadership and innovative work behaviors. It also examines the complex effects of leader-member exchange, learning orientation, and innovation capabilities.

We undertake a quantitative approach using a two-wave longitudinal field survey of 440 employees and managers from various backgrounds working in the automobile industry in France.

The findings based on Structural Equation Modeling reveal that the perception of digital leadership leads to innovative work behavior while leader-member exchange moderates between the perception of digital leadership and learning orientation. The findings also support the mediating roles of learning orientation and innovation capabilities.

The study contributes important policy suggestions, raises queries for additional investigation, and suggests theoretical and practical implications for leadership and organizational environmental factors to foster innovative work behaviors in organizations.

E-learning has demonstrated its value as a powerful tool for enhancing students' educational experience. This paper uses a quantitative approach to examine the impact of students' cognitive problem-solving skills on their e-learning management ability. In addition, it investigates the parallel mediation role of student psychological motivation and peer collaboration. Moreover, the moderating role of gender was examined to identify the difference in e-learning management ability among male and female students.

Data were collected from 214 Malaysian business students using an online survey. For the analysis, the researcher utilized both SPSS and a SMART PLS software.

The results show that cognitive problem-solving skills directly impact student e-learning management. Moreover, psychological motivation and peer collaboration mediate the relationship between cognitive problem-solving and student e-learning management. The study's results reported that female students' psychological motivation is higher than males in managing their e-learning environment. The study found that an e-learning environment helps students develop cognitive problem-solving skills, and students can manage their e-learning independently.

The COVID-19 pandemic in 2020 worldwide has shifted the educational system from a traditional approach to an online context. There is a lack of studies examining students' cognitive problem-solving skills, their ability to manage e-learning and investigating gender differences. The findings reported here are novel in the context of Malaysia. Little evidence exists about the impact of problem-solving among business students on e-learning management ability while providing insight into gender differences.

The psychological theory of self-determination postulated that gamification enhances learning engagement by intrinsically motivating learners to undertake tasks spontaneously. Gamification has then been integrated into adult learning as part of the initiative of learner-centred pedagogies to curb the low retention rates of adult learners who struggle with heavy work commitments, family obligations and financial pressure. Gamification, being one of the technological mediations, assumes the crucial role of engaging and retaining adult learners. Adult learners have received less attention in research when compared with conventional university students. The purpose of this study is to conduct a bibliographic analysis to assess the past, present and future publication trends of gamifying adult learning and to identify the research gap.

This study included publications related to gamification and adult learning from 2014 to 2022, extracted from Dimensions. A total of 79,864 publications were retrieved initially, and 3,469 publications were ultimately selected for final analysis after the refinement of the keyword search. VOSviewer was used for bibliographic coupling, keyword co-occurrence, clustering and co-citation analysis of countries.

The number of publications related to gamification in adult learning has decreased since its peak in 2020. The saturation is mainly concentrated in the USA, the UK and China, with similar levels of national income and technology advancement skills. However, gamification in adult learning remains a popular and growing research area in developing countries like Malaysia, which has huge potential due to government investments in education, technology and lifelong learning. There is also an evident research gap on gamification, adult learning and personality traits, which have not been covered in previous studies.

Prior research mostly focused on systematic literature reviews, while the use of bibliometric analysis could be a missing link in this research domain. This paper unveils the evolution of publications on this topic over time by scientifically analysing a large number of publications and rigorously identifying research gaps contributing to future research avenues.

This study examined the reciprocal influence of demand learning and preference matching in the context of store brand customization. The demand-learning effect refers to the collection of market demand information through production, based on pre-order demands, enabling retailers to accurately predict and allocate product quantities, thus improving inventory management. The preference-matching effect involves engaging consumers in the production and design processes of store brands to align fully with their preferences, thereby increasing the purchase impact of store brand products and promoting consumption.

We employ game-theoretic models to analyze a two-echelon supply chain consisting of a manufacturer and a retailer. The retailer offers both national brands, manufactured by the supplier and in-house store brands. To enhance their competitive edge, the retailer can adopt a customized strategy targeting the store brand to attract a wider consumer base.

The analysis reveals that, under low commission fees, the manufacturer consistently opts for high production quantities, irrespective of the level of demand uncertainty. However, when the perceived value of a store brand is low and demand uncertainty is either low or high, the retailer should choose a minimal or zero production quantity. The decision-making process is influenced by the customization process, wherein the effects of demand learning and preference matching occasionally mutually reinforce each other. Specifically, when the perceived value of a store brand is low, or the product cost is high, along with high customization costs, the interplay between demand learning and preference matching becomes mutually inhibiting. Consequently, the significance of store brand customization diminishes.

This study enhances the current body of knowledge by providing a deeper understanding of the theoretical value of store brand customization. In addition, it offers valuable decision-making support to enterprises by assisting them in selecting appropriate inventory and customization strategies.

The purpose of this action research study was to design, implement and evaluate interventions that enhanced the induction program for new teachers in a P-12 school district. At the outset, we hoped the study would provide new teacher support resulting in improved teaching practices, increased job satisfaction and/or increased teacher retention among the target population. With this in mind, our research question was: What structures and supports from a school-university partnership facilitate capacity-building among university teacher education faculty, school and district leaders, mentor teachers, and new teachers in the context of an induction program?

This study used an intervention-centered mode of action research methodology that aims to make systems-level change. This type of action research intends to solve real organizational problems with a focus on conducting “research in action” rather than “research about action” (Coghlan and Brannick, 2014, pp. 5–6). This approach necessitates that data collection and analysis are iterative processes, occurring throughout the research process, instead of solely at the end stages of the research process. Our action research process used Coghlan and Brannick’s (2014) action research cycle model. The cyclical four-step process includes constructing (verifying the problem in the local context), planning action, taking action and evaluating action. Facilitated by the interim director of a Professional development schools (PDS) partnership in the Southeastern United States, a team of co-researchers which included three university teacher education faculty and four school district administrators used action research methodology to create systemic change that enhanced the district’s induction program. We collected data through multiple qualitative methods, including surveys, focus groups, observations and interviews during the course of three action research cycles. These data and our theoretical framework (complex adaptive systems theory and social network theory) informed two major interventions that supported new teachers during the challenging first year of the coronavirus disease (COVID-19) pandemic.

The interventions and the research process were mutually beneficial for both institutions and contributed to professional learning and growth at the individual, group and system levels. The three major findings described include: (1) engaging in collaborative action research is mutually beneficial for both schools and universities; (2) induction programs benefit from university resources; (3) learning communities build all educators’ professional capacity.

Our research recommendations are: (1) more research is needed on the benefits of school-university partnerships to induction programs; (2) school-university partnerships should leverage action research to improve systems; (3) within school-university partnerships, the connection between collaborative leadership and sustainability requires further research. One limitation was that this study was conducted in a single school-university partnership context involving a large public university and a mid-sized public school district that had a well-established partnership. More induction-centered research is needed in different types of school-university partnership contexts that have varying levels of longevity and partnership structures.

Our recommendations for practice include (1) school-university partnerships should leverage collaborative learning communities to catalyze individual, group and systems-level learning and change, and (2) school-university partnerships must prioritize induction support to strengthen the teaching profession.

Since Hunt’s (2014) literature review on induction support in PDS partnerships, very few empirical studies have been conducted in this research area. This study, which examined induction support in a PDS partnership over a two-year period, makes a significant contribution to the scholarly literature on induction teacher support in school-university partnership contexts. Facilitated by the interim director of a PDS partnership, a team of co-researchers, which included three university teacher education faculty and four school district administrators, used action research methodology to create systems-level supports that enhanced the district’s induction program.

Gamification has emerged as a dynamic force in education, with increasing interest in its impact on college students' learning. Most previous research regards gamification as a single element and only focuses on the cognitive level of gamification elements, lacking an overall exploration of the impact mechanism of gamification elements. Against the backdrop of virtual learning communities, we apply the cognition-affection-conation theory to examine the influence of various gamification elements on college students' online learning behaviors, examining both cognitive and affective pathways.

Data were collected through a predefined questionnaire from 11 Chinese virtual learning communities, with 587 respondents participating in the study. SmartPLS was employed to conduct a Partial Least Squares (PLS) analysis of the research model and test the hypotheses.

Our findings reveal that immersion and achievement-oriented gamification elements positively impact learning behavior. Conversely, the social gamification element exhibits a negative influence due to social burnout within virtual learning communities. This study pioneers a model to understand the intricate influence mechanisms of gamification elements on college students' online learning behaviors. The model contributes to the enriched exploration and practical application of college students' learning behaviors in virtual learning communities.

Unlike previous studies that often treat gamification as a single element and focus solely on cognitive aspects, this research explores both cognitive and affective pathways using cognition-affection-conation theory. By examining the influence of various gamification elements on college students' online learning behaviors in virtual learning communities, this study provides nuanced insights. In particular, immersion and achievement-oriented gamification elements positively impact learning behavior, while social gamification elements have a negative influence due to social burnout. This comprehensive approach deepens our understanding of how gamification affects students' learning experiences, enriches knowledge, and provides practical insights for educators and instructional designers.

Experiential learning is considered to be a crucial factor in students' perceived learning outcomes. This study aims to explore the development of a mechanism in hospitality education and to analyze the learning outcomes (i.e. perceived quality, perceived value and learning satisfaction) using experiential learning (i.e. previous learning experience and personalized learning environment).

The course design consisted of two activities (instructing and learning activities) and three phases (before, during and after class) using the Moodle version 3.5 online platform as the educational and training site to sustain e-learning archives and activities. A longitudinal survey using a sample of 207 hospitality students in blended e-learning environment indicates positive relationships among the previously mentioned factors.

Results indicated that both previous learning experience and personalized learning environment have positive direct effects on perceived quality and perceived value, while both perceived quality and perceived value have positive direct effects on learning satisfaction. Furthermore, both perceived quality and perceived value mediate the relationship between previous learning experience and learning satisfaction, as well as the relationship between personalized learning environment and learning satisfaction.

These findings sustain the value of experiential learning, particularly the curriculum, student and faculty development in sustainable development education for hospitality.

The existing traditional recommendations based on content-based filtering (CBF), collaborative filtering (CF) and hybrid approaches are inadequate for recommending practice challenges in programming online judge (POJ). These systems only consider the preferences of the target users or similar users to recommend items. In the learning environment, recommender systems should consider the learning path, knowledge level and ability of the learner. Another major problem in POJ is the learners don't give ratings to practice challenges like e-commerce and video streaming portals. This purpose of the proposed approach is to overcome the abovementioned shortcomings.

To achieve the context-aware practice challenge recommendation, the data preparation techniques including implicit rating extraction, data preprocessing to remove outliers, sequence-based learner clustering and utility sequence pattern mining approaches are used in the proposed approach. The approach ensures that the recommender system considers the knowledge level, learning path and learning goals of the learner to recommend practice challenges.

Experiments on practice challenge recommendations conducted using real-world POJ dataset show that the proposed system outperforms other traditional approaches. The experiment also demonstrates that the proposed system is recommending challenges based on the learner's current context. The implicit rating extracted using the proposed approach works accurately in the recommender system.

The proposed system contains the following novel approaches to address the lack of rating and context-aware recommendations. The mathematical model was used to extract ratings from learner submissions. The statistical approach was used in data preprocessing. The sequence similarity-based learner clustering was used in transition matrix. Utilizing the rating as a utility in the USPAN algorithm provides useful insights into learner–challenge relationships.

The purpose of this study was to examine entrepreneurs’ learning before, during and after entrepreneurial failure and understand the relationship between learning and recovery from failure.

A qualitative multiple case study was carried out based on entrepreneur interviews who have experienced the failure of their businesses.

The study finds that entrepreneurs learn both during the company’s lifespan and post-failure, with distinct types and intensities of learning at different life cycle phases. It highlights the link between learning and emotions during the failure process, revealing entrepreneurs’ limited awareness of their knowledge gaps, particularly during successful business phases, and shows the difference between women and men.

One limitation of this study is that the companies are all located in northern and central Portugal, and the number of entrepreneurs starting new ventures post-failure is limited. Another is a lack of comprehensive measurement of the economic impact, especially on the health of individuals who have experienced the impact of failure. The absence of concrete data hampers understanding and the development of targeted support mechanisms for these individuals.

This study stands out for its unique approach, thoroughly exploring the intricate, profound and significant experiences during a crisis, such as a business failure, from the entrepreneurs’ perspective. It delves into their learning processes before, during and after the failure, providing a comprehensive understanding. This study evidence that significant learning occurs during the operation of the business, and not during or after failure, due to the limitations imposed by the pain and disorientation it causes. Therefore, if recovery does not occur, learning does not happen either. It also highlights the differences between women and men in their learning experiences, adding a new dimension to the research.

The present study’s goal is to assess the effect of a serious game on the development of entrepreneurial competence, self-efficacy and intention and thereby contribute to clarifying the usefulness of this approach in entrepreneurship education.

The study sample and method included 76 graduate students, selected through a convenience sampling technique and collected through a self-administered questionnaire. To examine the impact of the gaming session, a pre-test post-test design approach was employed. Consequently, all students completed a survey both at the beginning and end of the gaming session.

Our study found that game-based learning effectively enhances students' entrepreneurial competence, particularly in areas like generating ideas, managing resources and taking action, while also boosting self-efficacy. However, it didn't significantly impact entrepreneurial intentions. The effectiveness depends on students' prior gaming experience, especially in resource management and taking action. Additionally, it positively influences women's self-efficacy more than men. The field of study also plays a role, with design students showing notable development in idea generation, entrepreneurial intentions, and self-efficacy. Overall, game-based learning is a valuable tool for entrepreneurship education, but its effects vary based on prior experience, gender and field of study.

Several limitations of the study should be considered. First, the small sample size acquired through convenience sampling and the potential for social response bias, even with respondent anonymity, could limit the generalizability of the study's findings. Second, the study recognizes that the effectiveness of a serious game is greatly influenced by the game's design, making findings from studies with different game-based learning approaches potentially different. Lastly, the impact of student interactions during the game session was not evaluated.

The study's practical implications are significant. It demonstrates the effectiveness of game-based learning in cultivating entrepreneurial competence and self-efficacy, particularly benefiting women and design students. These findings emphasize the importance of integrating serious games (SG) into entrepreneurship education to nurture vital entrepreneurial competences essential for students' career development as entrepreneurs or employees. The study encourages the development of SG tailored for use in entrepreneurship classes. Additionally, it underscores the need to educate educators about the advantages of incorporating game-based learning into their teaching strategies, offering a practical pathway to enhance entrepreneurship education and better prepare students for the modern job market.

The study's social implications are substantial. It highlights the effectiveness of game-based learning in nurturing entrepreneurial competence and self-efficacy, particularly benefiting women and design students. This underscores the importance of integrating Serious Games (SG) into entrepreneurship education, emphasizing the need for more SG tailored for use in entrepreneurship classes. Furthermore, it calls for increased awareness among educators about the advantages of incorporating game-based learning into their teaching methods. Ultimately, these findings have the potential to positively impact students' career development, whether as entrepreneurs or employees, by equipping them with crucial entrepreneurial skills.

This study brings a novel perspective in three distinct ways. Firstly, it centers on the pivotal entrepreneurial competences outlined in the EntreComp framework by the European Commission, addressing the challenge of identifying which competences are most relevant for entrepreneurial education. By doing so, it ensures a focus on competence areas critical for entrepreneurs, such as ideas and opportunities, resources, and action. Secondly, it explores the impact of game experience on the development of entrepreneurial competences, entrepreneurial intention, and self-efficacy, a relationship hitherto unexplored. Thirdly, the study examines how students' demographic and contextual characteristics influence the development of entrepreneurial competence, intention, and self-efficacy through a game-based learning approach. These unique perspectives contribute valuable empirical data to both theory and practice in the field of entrepreneurship education.