Search results

This study explores the factors influencing artificial intelligence (AI)-driven decision-making proficiency (AIDP) among management students, focusing on foundational AI knowledge, data literacy, problem-solving, ethical considerations and collaboration skills. The research examines how these competencies enhance self-efficacy and engagement, with curriculum design, industry exposure and faculty support as moderating factors. This study aims to provide actionable insights for educational strategies that prepare students for AI-driven business environments.

The research adopts a hybrid methodology, integrating partial least squares structural equation modeling (PLS-SEM) with artificial neural networks (ANNs), using quantitative data collected from 526 management students across five Indian universities. The PLS-SEM model validates linear relationships, while ANN captures nonlinear complexities, complemented by sensitivity analyses for deeper insights.

The results highlight the pivotal roles of foundational AI knowledge, data literacy and problem-solving in fostering self-efficacy. Behavioral, cognitive, emotional and social engagement significantly influence AIDP. Moderation analysis underscores the importance of curriculum design and faculty support in enhancing the efficacy of these constructs. ANN sensitivity analysis identifies problem-solving and social engagement as the most critical predictors of self-efficacy and AIDP, respectively.

The study is limited to Indian central universities and may require contextual adaptation for global applications. Future research could explore longitudinal impacts of AIDP development in diverse educational and cultural settings.

The findings provide actionable insights for curriculum designers, policymakers and educators to integrate AI competencies into management education. Emphasis on experiential learning, ethical frameworks and interdisciplinary collaboration is critical for preparing students for AI-centric business landscapes.

By equipping future leaders with AI proficiency, this study contributes to societal readiness for technological disruptions, promoting sustainable and ethical decision-making in diverse business contexts.

To the author’s best knowledge, this study uniquely integrates PLS-SEM and ANN to analyze the interplay of competencies and engagement in shaping AIDP. It advances theoretical models by linking foundational learning theories with practical AI education strategies, offering a comprehensive framework for developing AI competencies in management students.

The rapid development of digital reading has made it a mainstream reading method for the public, and scholars have conducted research on its effectiveness.The purpose of this study is to systematically summarize and generalize the factors that affect the effectiveness of digital reading in current practical research.

Retrieved the search results from the Web of Science database and the China National Knowledge Infrastructure database, collected the relevant literature in both Chinese and English on the effectiveness of digital reading, qualitatively coded the relevant literature, and conducted a systematic literature review analysis on the factors affecting the effectiveness of digital reading.

There are 37 factors that influence the effectiveness of digital reading, forming five factor themes, namely, the reading subject, reading environment, organizational support, technical support and reading text. The five influencing factor themes are further divided into three types of functional mechanisms, namely, driving, supportive and assurance mechanisms. Based on this, a research framework is proposed, providing a comprehensive approach for the research positioning of digital reading effectiveness.

A research framework is proposed, providing a comprehensive approach for the research positioning of digital reading effectiveness.

This study investigates the drivers and mitigators of workplace bullying in surgical environments in Australia and Aotearoa New Zealand, utilizing social identity theory (SIT) and contemporary models of psychological safety. It introduces the concept of personality traits as a bridging factor between drivers and mitigators.

Qualitative interviews were conducted with 31 surgeons. Thematic analysis, supported by NVivo, was used to map findings to the SIT framework and incorporate psychological safety and personality theory.

Key drivers of workplace bullying include entrenched hierarchical power structures, gender dynamics and early socialization in competitive environments. The “bad apple” phenomenon, where personality traits such as narcissism and low emotional intelligence exacerbate bullying, contrasts with individuals demonstrating empathy and interpersonal awareness, who mitigate such behaviors. Effective leadership, generational shifts and team stability through procedural inclusion are key mitigators that promote psychological safety and collaboration.

Sample diversity, self-reporting bias and temporal context may impact the generalizability of findings across broader health and surgical settings in contemporary practice.

Addressing entrenched power imbalances and fostering inclusive leadership and practices are critical to mitigating bullying. Promoting psychological safety and leveraging generational change can reshape surgical culture, leading to healthier teams and improved patient outcomes.

This study bridges SIT with theories of personality and psychological safety, offering new perspectives on how individual traits and systemic dynamics shape bullying behaviors and culture in surgical teams, highlighting the need for targeted interventions.

The purpose of this study is to assess the role of renewable energy as a means of promoting women’s economic participation and improving their health by mitigating climate vulnerability.

To shed light on this relationship, the authors assess the capacity of renewable energy to reduce the negative impact of climate vulnerability on women’s economic empowerment and health, using the generalized method of moments estimator for 36 African countries over the period 1990–2021.

The empirical results show that climate vulnerability reduces economic empowerment and climate vulnerability increases child mortality. These results are mitigated by the use of renewable energy. The use of renewable energy mitigates the negative impact of climate vulnerability on women’s economic empowerment. Renewable energy use also reduces the pressure of climate vulnerability on child mortality. In addition, the authors take into account regional heterogeneities and find distinct effects. The results remain stable after further robustness testing.

Renewable energy thresholds are provided at which climate vulnerability no longer reduces women’s socio-economic well-being.