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The purpose of this study is to present an analysis of the Islamic good governance concept and means known as Al-Siyasah Al-Syar’iyyah as a principle and approach for combating corruption. This literature review aims to synthesize extant literature that discusses the determinants of integrity and how to prevent and combat corruption based on the Al-Siyasah Al-Syar’iyyah perspective.

A systematic search was conducted on a literature review based on Scopus and referred journals from Google Scholar databases. A manual search on Google Scholar was performed to identify additional relevant studies. Studies were selected based on the predetermined criteria. They were thematically examined using content analysis.

The study found that most of the 45 works of the literature, (41 studies and four chapters) suggested that corruption should be considered a sin and that education of Al-Siyasah Al-Syar’iyyah’s perspective against corruption, emphasizing the principle of piety, the institutionalization of justice and accountability, good governance performance with an emphasis on its belief in self-accountability and justice, is the means to combat corruption.

This study is unique in that it focuses on locating material on battling corruption from the standpoint of Al-Siyasah Al-Syar’iyyah. Based on the al-Quran, the Sunnah and the best practices of Muslim rulership, this notion provides an epistemological, ethical and ontological stance in Islam.

Given the importance of teacher leadership in influencing, motivating and inspiring student learning engagement and associated learning outcomes, a robust instrument to assess this construct is critical. Although there are some teacher leadership instruments available in existing literature, efforts to adapt robust psychometric instruments to measure teachers' leadership practices in Ethiopian higher education institutions have been limited. Therefore, this study attempted to address this gap by adapting the Teacher Leadership Scale (TLS) based on the Multifactor Leadership Questionnaire (MLQ-5X) and validating its psychometric properties for use in higher education settings.

Using a cross-sectional design, the study involved 409 undergraduate university students who were randomly selected from public universities. Factor analytic methodologies, including exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), were used to analyze the data collected.

The result confirmed a set of 36 items arranged in nine factors, which have a theoretically supported factor structure, excellent model fit and robust evidence for validity, and reliability and measurement invariance. These results demonstrate that the scale is a strong psychometric tool for measuring the leadership profile and practice of higher education teachers.

It can be concluded that the TLS can assist stakeholders in several ways. Researchers can benefit from the scale to measure teachers' leadership practices and predict their influence on student learning outcomes. In addition, the scale can help practitioners and policymakers collect relevant data to rethink teacher professional development initiatives, leadership training programs and other practices aimed at improving teacher leadership effectiveness.

The purpose of this paper is to realize the lightweight of connecting rod and meet the requirements of low energy consumption and vibration. Based on the structural design of the original connecting rod, the finite element analysis was conducted to reduce the weight and increase the natural frequencies, so as to reduce materials consumption and improve the energy efficiency of internal combustion engine.

The finite element analysis, structural optimization design and topology optimization of the connecting rod are applied. Efficient hybrid method is deployed: static and modal analysis; and structure re-design of the connecting rod based on topology optimization.

After the optimization of the connecting rod, the weight is reduced from 1.7907 to 1.4875 kg, with a reduction of 16.93%. The maximum equivalent stress of the optimized connecting rod is 183.97 MPa and that of the original structure is 217.18 MPa, with the reduction of 15.62%. The first, second and third natural frequencies of the optimized connecting rod are increased by 8.89%, 8.85% and 11.09%, respectively. Through the finite element analysis and based on the lightweight, the maximum equivalent stress is reduced and the low-order natural frequency is increased.

This paper presents an optimization method on the connecting rod structure. Based on the statics and modal analysis of the connecting rod and combined with the topology optimization, the size of the connecting rod is improved, and the static and dynamic characteristics of the optimized connecting rod are improved.

Leveraging the job demands-resources (JD-R) theory, this study proposes and validates a mediation model depicting the impact of health-promoting leadership (HPL) on innovation performance (IP), with the relationship partially mediated by two health-related factors: psychological well-being (PWB) and positive conflict (PC).

Employing a structured questionnaire developed from validated scales sourced from the existing literature, the study collected data from a sample of 310 employees across various organizations within the service sector of the United Arab Emirates. The dimensionality, reliability, and validity of scales were assessed using exploratory and confirmatory factor analysis. The study’s seven hypotheses were tested through structural equation modeling in AMOS and mediation analysis using the Hayes process model in SPSS.

Support was found for all seven hypotheses, demonstrating that HPL exerts both a direct and an indirect effect on IP, with PWB and PC serving as partial mediators.

Distinct from the traditional leadership literature, which often views an employee’s psychological health as a personal matter, this study highlights the organizational role in promoting psychological well-being. It also provides significant theoretical contributions to the underexplored area of conflict management within the context of innovation.

By promoting employees' PWB, HPL can optimize human capital within organizations. Additionally, leaders can leverage the potential of PC to foster an environment conducive to innovation, resulting in enhanced organizational performance.

The findings enrich the leadership and IP literature by identifying inter-relationships between the three health related antecedents of IP.

Artificial intelligence (AI) radically transforms organizations, yet ethical AI’s effect on employee innovation remains understudied. Therefore, this study aims to explore whether responsible artificial intelligence (RAI) enhances high-tech employees’ innovative work behavior (IWB) through creative self-efficacy (CSE) and employee mental health and well-being (EMHWB). The study further examines how leaders’ RAI symbolization (LRAIS) moderates RAI’s effect.

Through structural equation modeling, 441 responses of high-tech firms’ employees from Pakistan were utilized for hypotheses testing via SmartPLS-4.

The results revealed that second-order RAI enhances employees’ IWB. The effect was supported directly and indirectly through CSE and EMHWB. Findings also showed that LRAIS significantly moderates RAI’s influence on CSE, on the one hand, and EMHWB, on the other.

High-tech firms’ managers can fix AI-outlook issues that impair their employees’ IWB by prioritizing an ethical AI design involving actions like AI control mechanisms, bias checks and algorithmic audits. Similarly, these managers should facilitate RAI discussions and targeted trainings focusing on employees’ cognitive development and well-being. Likewise, RAI embracement programs and evaluations for leadership positions could be incorporated into high-tech firms.

This study advances the mainstream AI literature and addresses a notable gap concerning RAI’s influence on employees’ IWB while grounding in social cognitive theory. Moreover, this study unveils how CSE and EMHWB affect IWB within RAI milieus. Additionally, through signaling theory, it underscores the significance of LRAIS in amplifying the direct association between RAI, CSE, and EMHWB within high-tech firms in emerging markets.

This study clarifies the mediating effects of job satisfaction and knowledge sharing on the relationship between leadership humility and salesperson creativity. It also shows how job satisfaction mediates between leadership humility and knowledge sharing.

This study sampled 380 salespeople in Japan’s financial sector to participate in a two-wave online survey. The partial least squares structural equation modeling was applied to test the research hypotheses.

The results of the partial least squares structural equation modeling showed that the serial mediating effect of leadership humility on salesperson creativity through job satisfaction and knowledge sharing was statistically significant. The supplementary analysis showed that leadership humility had a curvilinear effect on salesperson creativity.

The findings were restricted to salespeople employed in Japan’s financial sector.

Contrary to previous meta-analytic studies, the mere presence of humble leaders is insufficient to induce salesperson creativity.

This study is the first to deeply elucidate the underlying mechanism between leadership humility and salesperson creativity and examine the curvilinear relationship between leadership humility and salesperson creativity.

This study aims to examine the link between boards and audit committees and firm performance in Kuwaiti listed firms in the context of recent and extensive corporate governance regulatory reform.

Panel data regression analysis with fixed effects and clustered standard errors of firm performance for 61–97 listed industrial and services firms in Kuwait over a seven-year period. The dependent variables are the returns on assets and equity, the debt-to-equity ratio and leverage and Tobin’s Q and the independent variables comprise board of directors and audit committee characteristics, including size, the number of meetings and the numbers of independent and outside board and expert committee members. Firm size, subsidiary status and cash flow serve as control variables.

Mixed results with respect to the characteristics of the board of directors. Board size and independent and outsider board members positively relate only to Tobin’s Q and insiders only to debt to equity. For audit committee characteristics, committee size, independence and expertise positively relate to the return on equity and committee size and expertise only to Tobin’s Q. Of the five performance measures considered, board and audit committee characteristics together best determine Tobin’s Q.

Data from a single country limits generalisability and control variables necessarily limited in a developing market context. Need for qualitative insights into corporate governance reform as a complement to conventional quantitative analysis. In combining accounting and market information, Tobin’s Q appears best able to recognise the performance benefits of good corporate governance in terms of internal organisational change.

The recent corporate governance code and guidelines reforms exert a mixed impact on firm performance, with audit committees, not boards, of most influence. But recent reforms implied most change to boards of directors. One suggestion is that non-market reform may have been unneeded given existing market pressure on listed firms and firms anticipating regulatory change.

Kuwait’s corporate governance reforms codified corporate governance practices already in place among many of its firms in pursuit of organisational legitimacy, and while invoking substantial change to audit committees, involved minor change to firm performance, at least in the short term. Some firms may also have delisted in expectation of stronger corporate governance requirements. Regardless, these direct and indirect processes both improved the overall quality of listed firm corporate governance and performance in Kuwait.

Seminal analysis of corporate governance reforms in Kuwait, which have rapidly progressed from no corporate governance code and guidelines to an initially voluntary and then compulsory regime. Only known analysis to incorporate both board of directors and audit committee characteristics. Reveals studies of the corporate governance–firm performance relationship may face difficulty in model specification, and empirical significance, given the complexity of corporate governance codes and guidelines, leads in changing firm behaviour and self-selection of firms into and out of regulated markets.

Drawing on social information processing theory, this study constructs a multilevel moderated mediation model. This model seeks to delve into the intricate and previously overlooked interplay between supervisor bottom-line mentality (BLM) and knowledge hiding. Within this context, we introduce self-interest as a mediating factor and incorporate performance climate as a team-level moderating variable.

The time-lagged data involve 336 employees nested in 42 teams from 23 automobile sales companies in five regions of China. The analysis was meticulously executed using Hierarchical Linear Modeling, complemented by bias-corrected bootstrapping techniques.

The findings reveal that self-interest acts as a full mediator in the positive link between supervisor BLM and knowledge hiding. Furthermore, the performance climate plays a moderating role in both the relationship between supervisor BLM and self-interest, and the entire mediation process. Notably, these relationships are intensified in environments with a high performance climate compared to those with a low one.

This research stands as one of the pioneering efforts to integrate supervisor BLM into the discourse on knowledge hiding, elucidating the underlying psychological mechanisms and delineating the boundary conditions that shape the “supervisor BLM–knowledge hiding” relationship. Further, our insights provide organizations with critical guidance on strategies to curtail knowledge hiding among their employees.

High-efficiency video coding (HEVC) is the latest video coding standard that has better coding efficiency than the H.264/advanced video coding (AVC) standard. The purpose of this paper is to design and develop an effective block search mechanism for the video compression-HEVC standard such that the developed compression standard is applied for the communication applications.

In the proposed method, an rate-distortion (RD) trade-off, named regressive RD trade-off is used based on the conditional autoregressive value at risk (CaViar) model. The motion estimation (ME) is based on the new block search mechanism, which is developed with the modification in the Ordered Tree-based Hex-Octagon (OrTHO)-search algorithm along with the chronological Salp swarm algorithm (SSA) based on deep recurrent neural network (deepRNN) for optimally deciding the shape of search, search length of the tree and dimension. The chronological SSA is developed by integrating the chronological concept in SSA, which is used for training the deep RNN for ME.

The competing methods used for the comparative analysis of the proposed OrTHO-search based RD + chronological-salp swarm algorithm (RD + C-SSA) based deep RNN are support vector machine (SVM), fast encoding framework, wavefront-based high parallel (WHP) and OrTHO-search based RD method. The proposed video compression method obtained a maximum peak signal-to-noise ratio (PSNR) of 42.9180 dB and a maximum structural similarity index measure (SSIM) of 0.9827.

In this research, an effective block search mechanism was developed with the modification in the OrTHO-search algorithm along with the chronological SSA based on deepRNN for the video compression-HEVC standard.

This paper aims to explore students’ intention to use and actual use of the artificial intelligence (AI)-based chatbot such as ChatGPT or Google Bird in the field of higher education in an emerging economic context like Bangladesh.

The present study uses convenience sampling techniques to collect data from the respondents. It applies partial least squares structural equation modeling (PLS-SEM) for analyzing a total of 413 responses to examine the study’s measurement and structural model.

The results explore that perceived ease of use (PEOU) negatively affects intention to adopt AI-powered chatbots (IA), whereas university students’ perceived usefulness (PU) influences their IA positively but insignificantly. Furthermore, time-saving feature (TSF), academic self-efficacy (ASE) and electronic word-of-mouth (EWOM) have a positive and direct impact on their IA. The finding also reveals that students' IA positively and significantly affects their actual use of AI-based chatbot (AU). Precisely, out of the five constructs, the TSF has the strongest impact on students’ intentions to use chatbots.

Students who are not aware of the chatbot usage benefits might ignore these AI-powered language models. On the other hand, developers of chatbots may not be conscious of the crucial drawbacks of their product as per the perceptions of their multiple users. However, the findings transmit a clear message about advantages to users and drawbacks to developers. Therefore, the results will enhance the chatbots’ functionality and usage.

The findings of the study alert the teachers, students and policymakers of higher educational institutions to understand the positive outcomes and to accept AI-powered chatbots such as OpenAI’s ChatGPT. Outcomes also notify the AI-product developers to boost the chatbot’s quality in terms of timeliness, user-friendliness, accuracy and trustworthiness.