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Based on social cognitive theory, this study aims to investigate the influence of perceived overqualification (POQ) on employees’ cyberloafing behavior. The mediating role of moral disengagement and the moderating roles of organizational identification (OID) and organizational decline are further examined.

The authors collected 740 valid questionnaires from participants across multiple organizations. To minimize common method bias (CMB) and enhance the reliability of the findings, data were gathered at two different time points, with a 30-day interval.

POQ positively impacts cyberloafing through the mechanism of moral disengagement. Additionally, the indirect relationship between POQ and cyberloafing via moral disengagement is moderated by OID and organizational decline. Specifically, a higher degree of OID weakens the indirect effect of POQ on cyberloafing, while a higher level of perceived organizational decline strengthens this effect.

While most existing studies on cyberloafing focus on insufficient resources, such as role conflict and workload, the authors propose that surplus personal resources, exemplified by POQ, can also lead to cyberloafing. This research contributes to a broader understanding of antecedents of cyberloafing, highlighting the mechanism of ethical considerations and the interplay between personal qualifications, organizational identification and organizational decline.

This study examines academic librarians' perceptions and attitudes toward Internet of Things (IoT) applications in Hong Kong academic libraries and the problems and possible improvements in using IoT technologies to strengthen library services.

This qualitative research used video conferencing software for semi-structured, one-on-one interviews. Participants were given introductory material about the IoT and asked to complete an interview. The data were analyzed using inductive theme clustering for this study.

The analysis identified three themes: perception about applying IoT technology to the library, problems and improvements in using IoT. Participants were generally optimistic about the potential benefits of IoT for improving library operations and providing personalized services. However, they also expressed concerns about privacy and security, errors and extra efforts for information literacy training. They suggested improvements such as incorporating facial recognition technology, advanced RFID technology and collections identification technology to enhance user experience.

Most studies examined users' views rather than librarians' on IoT applications, which few studies cover, especially in East Asia.

This paper aims to investigate and analyze the air-gap field modulation (AGFM) effect on torque contribution in a 6-slot/4-pole high-speed permanent magnet (HSPM) machine. To further illustrate the torque generation mechanism, the torque contribution is quantified using the Maxwell stress tensor (MST) method.

First, a simplified permanent magnet (PM) magnetomotive force model is established to identify the effective main-order working field harmonics. Then, the MST method is used to determine the average torque contributions of the effective main-order working field harmonics. Finally, the influences of various stator and rotor parameters on the AGFM effect are analyzed and optimized to enhance the torque density.

Apart from the fundamental harmonics, the AGFM harmonics contribute non-negligible average torque on the HSPM machine, and the optimized machine has higher torque density. Finally, a prototype of the 10 kW HSPM machine is manufactured and experimented with to validate the effectiveness of the theoretical analysis.

In this paper, the torque generation mechanism of the HSPM machine is investigated and analyzed. Meanwhile, the AGFM effect of the HSPM machine with different design parameters is analyzed and optimized to enhance the torque density.

The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners’ computational thinking.

By analyzing the mechanism of action of ITF on the development of computational thinking, an ITF strategy and corresponding ITS acting on the whole process of programming problem-solving were developed to realize the evaluation of programming problem-solving ideas based on program logic. On the one hand, a lexical and syntactic analysis of the programming problem solutions input by the learners is performed and presented with a tree-like structure. On the other hand, by comparing multiple algorithms, it is implemented to compare the programming problem solutions entered by the learners with the answers and analyze the gaps to give them back to the learners to promote the improvement of their computational thinking.

This study clarifies the mechanism of the role of ITF-based ITS in the computational thinking development process. Results indicated that the ITS designed in this study is effective in promoting students’ computational thinking, especially for low-level learners. It also helped to improve students’ learning motivation, and reducing cognitive load, while there’s no significant difference among learners of different levels.

This study developed an ITS based on ITF to address the problem of learners’ difficulty in obtaining real-time guidance in the current programming problem-solving-based computational thinking development, providing a good aid for college students’ independent programming learning.

This paper aims to investigate the direct and indirect relationship between CEO compensation and earnings management using corporate social responsibility (CSR) as a mediating variable.

This study examines 159 French firms listed on the SBF 250 index, encompassing 1,908 firm-year observations from 2011 to 2022, to investigate the relationship between CEO compensation, CSR and earnings management. We used discretionary accruals as the earnings management measure, under the Kothariet al. model (2005). The direct and indirect effects between CEO compensation and earnings management were tested using structural equation model analysis.

The results reveal that CEO compensation positively influences earnings management. Higher CEO compensation is associated with a greater likelihood of engaging in earnings management practices. CSR was found to partially mediate the relationship between CEO compensation and corporate earnings management. Further analysis indicates that the social and environmental dimensions of CSR contribute significantly to this mediating effect.

The study’s focus on the French institutional context may limit the generalizability of the findings to other regions. In addition, the relatively small sample size, given the limited number of publicly listed firms in France, suggests that extending the study to include other European countries could enhance the robustness of the results.

The findings have practical implications for companies, policymakers and regulators seeking to curb opportunistic managerial behavior. Regulators can develop policies that promote transparency and ethical financial reporting, leveraging CSR as a governance tool to curb earnings manipulation.

This study highlights the ethical concerns of excessive CEO compensation, which may incentivize earnings management and undermine financial transparency. It emphasizes the need for strong CSR practices, particularly in the social and environmental dimensions, to mitigate these issues and align corporate behavior with societal and sustainability goals.

The originality of this paper lies in its exploration of both direct and indirect relationships between CEO compensation and earnings management, with CSR acting as a mediating variable. Unlike previous studies that have primarily focused on the direct link between CEO compensation and earnings management, this research investigates the potential mediating role of CSR in this relationship. In addition, this study distinguishes itself by examining the impact of the structure of CEO compensation on earnings management. While the existing literature has concentrated on total CEO compensation, the effects of its individual components such as fixed and variable compensation remain underexplored.

This study aims to understand females’ perception on the safety level of urban alleys in Bukit Bintang area, Kuala Lumpur, Malaysia, and thus identify the common safety features present in the alleys.

The study adopted a quantitative approach, based on the descriptive analysis of the safety data, the mean and median were calculated to identify the alleys with higher safety levels and to extract their common features.

These alleys had certain safety features in common, such as open views, high walls or buildings on both sides, a sense of community or business presence, adequate lighting, human and vehicle presence, safety facilities, cleanliness and moderate greenery.

The study identified these features as key contributors to improved safety levels, which in turn enhance the perception of safety among female users. The findings might assist policymakers or urban planners in managing and building urban alleys in a more effective and safe manner.

This study attempts to analyse and rank the impact of work-related issues arising within the Indian construction industry in the context of the existing pandemic. Furthermore, this is the first attempt to provide strategies to overcome issues among a workforce that is highly contractual in nature and is currently witnessing the uncertainties of the pandemic's aftermath. To the best of the author's knowledge, few studies have highlighted the combined analysis of job insecurity, psychological stress and emotional exhaustion in the Indian construction industry.

The “Best Worst Methodology” (BWM) has been used in this study to analyse and rank the key factors that eliminate negative characteristics among contractual construction employees. The BWM, outlined by Rezaei (2015, 2016), is a popular “multi-criteria decision analysis technique” due to its advantage of consistent results and lesser pairwise data requirements.

The study identified and ranked the socioeconomic impact of the three waves of the COVID-19 pandemic on construction sector employees in the Indian subcontinent. The results indicate that job insecurity has the most prominent impact, which ultimately produces psychological stress and emotional exhaustion among employees.

To achieve the objective of identifying and prioritising the criteria of adverse socioeconomic impacts during the pandemic and outlining plans of action for the construction industry, ten experts (civil engineers/managers) from ten different construction projects were involved in a mixed-method case study, which has never been explored in the Indian construction sector.