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The purpose of this ontologically qualitative research study was to (a) explore student narratives regarding their educational experiences in at-home internationalization programs; (b) provide an in-depth narrative analysis of student learning challenges and achievements; and (c) add valuable research-based knowledge of student-described experiences for use by program administrators.

Participants were selected with a form of four-stage non-proportional stratified sampling. 29 participants were interviewed using a basic demographic questionnaire and an episodic interview protocol. Data were analyzed in QSR NVivo software through open, axial, and selective coding stages under the framework of grounded theory.

The findings focus on student-identified links between the challenges they encountered and their achievements. In addition, student performance level and gender were associated with the challenges and achievements reported by students. In understanding the results, the student-learning concepts found in the learned optimism, growth mindset, grit and expectancy theory approaches provide potentially fruitful insights.

The findings of this research have instructive implications for program administrators regarding how student challenges can be strategically chosen and shaped to generate specific, positive student achievements.

The purpose of this paper is to increase knowledge of the key drivers, and challenges, of the internationalization of Higher Education (HE), especially in the transitioning economy of Vietnam.

An exploratory qualitative research design used semi-structured interviews. Nine senior institutional leaders from five Vietnamese universities were interviewed. Thematic analysis, informed by the literature, was undertaken on English-translated transcripts.

The findings shared senior HE leader perspectives on how internationalization of HE in Vietnam was being conceptualized and operationalized, as well as insights as to how these processes might be improved. Further research to monitor the success of internationalization processes in Vietnam, and beyond, is recommended.

This was an exploratory qualitative study including nine interviews with senior HE leaders from Vietnamese Universities. Exploratory findings only are shared.

No previous studies exploring internationalization of HE in Vietnam have been located. Vietnam is a nation in economic transition from a state-based to market-driven economy, and is different culturally, economically and socially, to its Asian neighbors. Internationalizing HE is considered essential to the global integration and development of Vietnam.

This study aims to build on equity theory to assess the effect of chief executive officer (CEO) underpayment on the accumulation of firm-specific knowledge, accounting for the moderating effects of the CEO compensation gap and the clarity of the board’s informal hierarchy.

This study starts with all firms listed in the Execucomp database for the period 1992 to 2006. Then, all data sources are merged and entries with missing information are excluded. The final data set used for model estimations includes 1,152 firm-year observations. The command xtreg in Stata 12 with the fixed-effect option (fe) is used to estimate the relationship between CEO underpayment and firm-specific knowledge.

This study proposed and examined the role of CEO underpayment in discouraging CEO willingness to invest firm-specific human capital and, accordingly, to adopt a strategy of accumulating lower levels of firm-specific knowledge assets. The empirical analyses strongly support this argument. Moreover, CEO compensation gaps and the informal hierarchy of boards negatively moderated this relationship. That is, CEO underpayment had a weaker negative effect on firm-specific knowledge when the CEO compensation gap and the clarity of the board’s informal hierarchy were high.

Prior studies from the knowledge-based perspective have focused on the importance of firm-specific knowledge in enabling a firm to achieve superior financial performance. However, relatively little attention has been paid to CEOs’ willingness to accumulate firm-specific knowledge. The present study contributes to the knowledge-based view of the firm. This study integrates equity theory with the knowledge-based view of the firm by highlighting how unfair compensation of CEOs may discourage them to fully realize a firm’s potential to generate specific knowledge. By incorporating the fairness issue of CEO compensation into the knowledge-based view, this study contributes to a deeper understanding of the origins of firm-specific knowledge.

Despite abundant research on the negative effect of gender stereotypes on female leaders, it remains unclear whether leader competence perceived by the subordinates could overcome this backlash effect. Drawing on expectation states theory and expectancy violation theory, the authors investigate how the interaction among leaders' gender roles, leader sex and subordinates' perceived leader competence influences leader effectiveness through subordinates' affective trust.

Data were collected through two-wave surveys among 489 participants from various sectors in different parts of China. SPSS and Hayes PROCESS were used to test the hypotheses.

High competence perceived by the subordinates helps female leaders to overturn the negative effect of masculinity and strengthen the positive effect of femininity, whereas this positive moderation does not hold for male leaders.

This study addresses the ongoing debate about “female advantage” in leadership by showing that female leaders benefit from high perceived competence and are penalized by low perceived competence to a greater extent than male leaders in terms of leader effectiveness.

This study clarifies the operational performance of fashion companies during the coronavirus pandemic. Meanwhile, improvement strategies have been provided in the post-pandemic era.

The static and dynamic perspectives were combined to comprehensively analyze the operational performance of fashion companies before, during and after the COVID-19 outbreak. A comparative analysis among five representative countries was conducted to achieve global conclusions. Additionally, data envelopment analysis (DEA) theory and various DEA models were employed for the analysis.

The fashion industry has not achieved overall effectiveness. American companies have the best operational performance, followed by European and Chinese companies. In contrast, the impact of the pandemic on American companies was severe, whereas Chinese and European companies showed operational resilience. In addition, the pandemic had a devastating influence on the global fashion industry. This resulted in a decline in total factor productivity, and the main reason was technological regress. Furthermore, labor redundancy is a critical issue for the fashion industry in the post-pandemic era, even if it shows a decrease because of the pandemic.

The existing theory on the fashion industry during the pandemic was improved by expanding the time and geographical dimensions and integrating the advantages of various DEA models. Scientific improvement strategies were presented in the post-pandemic era with application value.

The purpose of this paper is to examine how analyst recommendation change is associated with a firm’s magnitude of strategic change.

This study argues that unfavorable analyst recommendation change serves as a powerful external assessment that current strategies are inappropriate and that changes are needed. This study also incorporates the moderating roles of CEO power and board’s informal hierarchy in the relationship between analyst recommendation change and firm’s magnitude of strategic change. Results from a sample of 824 observations generally support our predictions.

The findings of this study show that the greater the analysts downgrade for the company’s stock, the larger the magnitude of strategic change will be made. This study also considers the moderating roles of CEO power and the clarity of board’s informal hierarchy. In particular, the higher the CEO power, the weaker the relationship between analyst recommendation change and the magnitude of strategic change will be. The higher the clarity of board’s informal hierarchy, the more positive the relationship between analyst recommendation change and the magnitude of strategic change will be.

It extends research on the external predictors of strategic change by incorporating the role of unfavorable analyst recommendation change. In addition, it contributes to institutional theory by showing how external legitimacy pressure and internal corporate governance tool complement each other.

This paper aims to study the application of reinforcement learning (RL) in the control of an output-constrained flapping-wing micro aerial vehicle (FWMAV) with system uncertainty.

A six-degrees-of-freedom hummingbird model is used without consideration of the inertial effects of the wings. A RL algorithm based on actor–critic framework is applied, which consists of an actor network with unknown policy gradient and a critic network with unknown value function. Considering the good performance of neural network (NN) in fitting nonlinearity and its optimum characteristics, an actor–critic NN optimization algorithm is designed, in which the actor and critic NNs are used to generate a policy and approximate the cost functions, respectively. In addition, to ensure the safe and stable flight of the FWMAV, a barrier Lyapunov function is used to make the flight states constrained in predefined regions. Based on the Lyapunov stability theory, the stability of the system is analyzed, and finally, the feasibility of RL in the control of a FWMAV is verified through simulation.

The proposed RL control scheme works well in ensuring the trajectory tracking of the FWMAV in the presence of output constraint and system uncertainty.

A novel RL algorithm based on actor–critic framework is applied to the control of a FWMAV with system uncertainty. For the stable and safe flight of the FWMAV, the output constraint problem is considered and solved by barrier Lyapunov function-based control.

Social mediametrics is a subfield of measurement in which the emphasis is placed on social media data. This paper analyzes the trends and patterns of paper comprehensively mentions on Twitter, with a particular focus on Twitter's mention behaviors. It uncovers the dissemination patterns and impact of academic literature on social media. The research has significant theoretical and practical implications.

This paper explores the fundamental attributes of Twitter mentions by means of analyzing 9,476 pieces of scholarly literature (5,097 from Nature and 4,379 from Science), 1,474,898 tweets and 451,567 user information collected from Altmetric.com database and Twitter API. The study uncovers assorted Twitter mention characteristics, mention behavior patterns and data accumulation patterns.

The findings illustrate that the top academic journals on Twitter have a wider range of coverage and display similar distribution patterns to other academic communication platforms. A large number of mentioners remain unidentified, and the distribution of follower counts among the mention users exhibits a significant Pareto effect, indicating a small group of highly influential users who generate numerous mentions. Furthermore, the proportion of sharing and exchange mentions positively correlates with the number of user followers, while the incidence of supportive mentions has a negative correlation. In terms of country-specific mention behavior, Thai scholars tend to utilize supportive mentions more frequently, whereas Korean scholars prefer sharing mentions over communicating mentions. The cumulative pattern of Twitter mentions suggests that these occur before official publication, with a half-life of 6.02 days and a considerable reduction in the number of mentions is observed on the seventh day after publication.

Conducting a multi-dimensional and systematic analysis of Twitter mentions of scholarly articles can aid in comprehending and utilizing social media communication patterns. This analysis can uncover literature's distribution patterns, dissemination effects and social significance in social media.

This study aims to focus on the clothing recycling supply chain and aims to provide optimal decisions and managerial insights into supply chain strategies, thereby facilitating the sustainable development of the clothing industry.

Based on previous single- and dual-channel studies, game theory was employed to analyze multiple recycling channels. Concurrently, clothing consumer types were integrated into the analytical models to observe their impact on supply chain strategies. Three market scenarios were modeled for comparative analysis, and numerical experiments were conducted.

The intervention of fashion retailers in the clothing recycling market has intensified competition across the entire market. The proportions of various consumer types, their preferences for online platforms and their preference for the retailer’s channel influence the optimal decisions and profits of supply chain members. The diversity of recycling channels may enhance the recycling volume of clothes; however, it should meet certain conditions.

This study extends the existing theory from a channel dimension by exploring multiple channels. Furthermore, by investigating the classifications of clothing consumers and their influence on supply chain strategies, the theory is enhanced from the consumer perspective.

This study attempts to demonstrate how a tourism attraction (i.e., museum) could establish its brand equity. It involves a case study on one of the most famous museums in Taiwan which involves an in-depth interview. The results show that the museum under investigation has established a clear brand identification and its brand communications but has a limited interpretation of its brand assets. Recommendations include strengthening its experiential propaganda, organizing large-scale intercity festivals, coordinating with other vendors to sell cultural products, increasing the number of professional exhibitions, and establishing a self-evaluation mechanism.