Psychological capital (PsyCap) has been the subject of more publications lately, mostly in the realm of organizational psychology rather than educational psychology. Existing literature has also revealed a gap in the exploration of connections between psychological capital themes and factors related to the health and education of Indian students studying management. This study investigates if PsyCap among management students is a predictor of psychological well-being indirectly through academic engagement. For the study, 912 management students (male = 607, female = 305) completed the survey through the PsyCap Questionnaire (12 Item Scale), the Students' Psychological Well-Being Questionnaire (PPWB) (18 Items), and the Modified Utrecht Engagement Scale (9 Items). The findings showed a positive correlation between psychological well-being and management students' academic engagement on PsyCap. Furthermore, students' academic engagement mediated PsyCap's impact on psychological well-being. In particular, the multiple mediation model showed that dedication, vigor, and absorption were primarily responsible for PsyCap's indirect impacts on psychological well-being. Study findings may assist educators in creating and preserving a positive learning environment in their classrooms and institutions. • A research gap exists in studying links between psychological capital and health-education factors among Indian management students. • Positive correlation between psychological well-being and management students' academic engagement on PsyCap. • PsyCap’ s impact on psychological well-being was mediated by students' academic engagement. • Findings of this study may assist educators in creating and preserving a positive learning environment in their classrooms and institutions.

Psychological and academic effects of curriculum-integrated wellbeing course in India: Evidence from undergraduate management students.

The rapid pace of digital transformation has created a pressing need for data literacy. While its importance is widely recognized, there is no clear consensus on the specific skills required. Current Data Literacy Education (DLE) approaches in data science and machine learning courses often focus on digital skills such as data preparation and analysis, overlooking essential foundational skills like creativity, agility, and collaboration. Moreover, as DLE spans beyond traditional STEM boundaries, there is a growing need for inclusive approaches that engage non-STEM learners and address students’ diverse needs, interests, and goals. In response, we propose a practical framework for DLE in data science and machine learning courses that cultivates both digital and foundational skills within an inclusive learning environment. Our approach prioritizes active learning and coaching, leveraging our web application STATY to bridge the gap between theory and practice by engaging students in real-world data problem-solving. We illustrate its application through the master’s-level course “Business Data Science—From Data to Forecasts and Decisions,” along with our experiences and lessons learned. Supplementary materials for this article are available online.

Student engagement is increasingly recognized as a critical factor influencing academic success in higher education. This study investigates the relationship between student engagement and academic performance among management students. Student engagement is conceptualized as a multidimensional construct comprising behavioral, emotional, and cognitive involvement in learning activities. Engaged students are more likely to actively participate in classroom discussions, complete assignments on time, collaborate with peers, and demonstrate intrinsic motivation toward learning. The research adopts an empirical approach, collecting primary data from undergraduate and postgraduate management students through a structured questionnaire. Academic performance is measured using students’ cumulative grade point averages (CGPA) and self-reported performance indicators. Data analysis includes descriptive statistics, correlation analysis, and multiple regression to examine the strength and direction of the relationship between engagement dimensions and academic outcomes. The findings indicate a significant positive relationship between student engagement and academic performance. Cognitive engagement emerged as the strongest predictor of academic success, followed by behavioral and emotional engagement. The study highlights the importance of fostering interactive and motivating learning environments in management education to enhance student engagement and academic achievement. These findings provide valuable insights for educators, administrators, and policymakers aiming to improve student learning outcomes in higher education.

The issue of communication apprehension has been a major obstacle to the professional incorporation of non-native English-speaking (NNES) students in management, frequently halting the process of adapting to international leadership. Whereas the conventional language training focuses on accuracy in languages, often overlook the psychological affective filter that constitutes an impediment to the performance of the language. To overcome these barriers, this study hypothesizes a multidisciplinary model of intervention that combines the Emotional Intelligence (EI) and Cognitive Behavioral Models (CBM) interventions. Based on a mixed-methods quasi-experimental design, the study selected N=120 management students who took an eight-week Integrated Communication Resilience Program (ICRP), a self-regulation and cognitive restructuring program. The findings reveal a statistically significant change in the student performance, with the most significant change evident in the 29.5% decrease in the total score of the communication apprehension scores (p <.001) after the intervention. The qualitative analysis also indicates that emotional mastery based on EI and thought restructuring based on CBM enabled students to change their professional role as language learners into global managers. The paper concludes with the idea that sustainable human capital development in higher education needs a shift toward a Sustainable Pedagogy, which focuses on the development of psychological resilience as well as technical skills. The results provide a feasible approach for business schools to meet the Sustainable Development Goals (SDG 4 and 8) to provide inclusive and equal access to professional opportunities to diverse student groups.

This study aims to analyze the effect of financial literacy and financial attitudes on financial behavior, mediated by behavioral intentions, among Management students at Muhammadiyah University Yogyakarta. The subjects in this study were active students enrolled in the Management program at Muhammadiyah University Yogyakarta. In this study, the sample consisted of 340 respondents selected through purposive sampling. The analysis tool used was SmartPLS 4.1.1.4 software. Based on the analysis, it was found that financial literacy and financial attitudes had a positive and significant effect on financial behavior. Behavioral intention significantly mediated the effect of financial literacy and financial attitudes on financial behavior.

Research on students’ inclination towards entrepreneurial activities has garnered worldwide attention from scholars and practitioners. However, there is a lack of studies from the Global South investigating entrepreneurial inclinations and their antecedents among university students in business management. Therefore, this study examines the impact of gender and work experience on entrepreneurial characteristics, that is, self-efficacy, motivations and inclination. This study utilizes ‘social cognitive theory’ to analyse how gender and work experience influence the associations among self-efficacy, entrepreneurial incentives (career, innovation and independence) and entrepreneurial inclination. This study utilized a ‘partial least squares structural equation modelling’ technique to analyse data collected from 364 students in a postgraduate business management programme. The results support significant relationships between entrepreneurial inclination and its predictors. Further, work experience demonstrates a more uniform moderating effect across variables, whereas gender mainly moderates the independence motive and entrepreneurial inclination. The study findings can assist all stakeholders in fostering an environment that encourages students’ interest in entrepreneurial activities, considering their gender and work experience, particularly in a developing country in the Global South. The research enriches entrepreneurial literature by contextualizing findings within a developing country and offering implications for gender-related policy and experiential entrepreneurship education.

From altruistic values to sustainable entrepreneurial intention: A multiple mediation analysis using the value-attitude-behavior framework in Latin America.

The increasing integration of Instagram into students’ daily lives has raised concerns regarding its impact on academic behavior and performance. This study examines the relationships among Instagram addiction, Instagram entertainment, procrastination, and academic performance among management students in Gujarat. Data from 285 respondents were analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings indicate that Instagram addiction significantly increases procrastination, whereas Instagram entertainment does not have a significant effect. Procrastination does not mediate the relationship between Instagram use and academic performance. However, Instagram addiction shows a direct negative association with academic performance. The study highlights the importance of digital self-regulation and balanced social media use to protect students’ academic productivity.

To assess the knowledge and performance of high school students in cardiopulmonary resuscitation and foreign body airway obstruction management using an objective structured clinical examination. An interventional design was implemented with high school students, who were assessed before and after the intervention. Participants completed a theoretical questionnaire and two objective structured clinical examinations-one for cardiopulmonary resuscitation and one for foreign body airway obstruction-before receiving theoretical and practical first aid training. Subsequent assessments included the same theoretical questionnaire and objective structured clinical examinations, administered immediately after training and again after six months to measure knowledge retention. Comparison of pre-training, immediate post-training, and six-month follow-up data revealed significant improvements in knowledge and performance across all student groups and scenarios (p<0.001), with sustained retention over time. Implications for School Health Policy, Practice, and Equity: Utilizing handmade mannequins alongside the objective structured clinical examination methodology offers a cost-effective approach for training students and mitigating adverse outcomes in high schools. The objective structured clinical examination is an effective and evaluative tool for first aid training among high school students.

ABSTRACT Profitability analysis is one of the most important tools used to measure the financial strength, operating efficiency, and long-term sustainability of any business organization. In the highly competitive automobile industry, profitability determines the ability of a company to survive market fluctuations, changing consumer preferences, rising raw material costs, and technological transformation. Maruti Suzuki India Limited has established itself as one of the leading passenger vehicle manufacturers in India through strong brand value, wide product portfolio, extensive dealer network, cost efficiency, and customer trust. Various accounting ratios, income statement trends, operational performance indicators, and the company's market position are the primary focus of this study. The analysis aids in comprehending the company's efficient resource utilization for profit and shareholder value. The study also examines the relationship between sales growth, production efficiency, operating margin, net profit margin, return on assets, and return on equity of the company over a period of years. It highlights the impact of economic conditions, fuel prices, inflation, taxation policies, and consumer demand on company profitability. The findings reveal that Maruti Suzuki India Limited has maintained a strong market presence through innovation, fuel-efficient vehicles, strategic pricing, and effective cost control measures. The business has demonstrated resilience and consistent financial performance despite obstacles like competition, shortages of semiconductors, and shifting environmental regulations. Investors, researchers, management students, and policymakers can all benefit from this study's understanding of automotive sector profitability trends. Keywords: Profitability Analysis, Automobile Industry, Net Profit, Operating Margin, Return on Equity, Financial Performance, Maruti Suzuki.

The application of Artificial Intelligence (AI) in the field of health management is becoming increasingly widespread, driving health services toward precision, personalization, and intelligence. This study aims to explore the behavior patterns of health management college students in AI learning and device usage. In addition, the study also aims to enhance students' motivation and ability to apply AI by constructing a feedback oriented behavior promotion system based on machine learning technology. This study targeted college students from the School of Health Management at Zaozhuang University. A survey questionnaire based on the "Knowledge-Belief-Action" (KBA) model was designed, and a total of 184 valid responses were collected. The XGBoost algorithm was used to construct a predictive model for AI learning and usage behavior, and SHAP technology was applied for interpretative analysis of the model results to identify key influencing factors. Furthermore, the model was integrated into a web platform, and a visualized behavior promotion system was developed. The accuracy, precision, recall, and F1-score of the predictive model all exceeded 0.698, indicating strong predictive capability. SHAP analysis revealed that factors such as knowledge mastery, awareness of ethical issues, and educational background have a significant impact on students' AI learning and usage behavior. The behavior promotion system developed based on this model not only predicts students' learning and usage behaviors but also provides a basis for personalized intervention. This study combines the "KBA" model with machine learning to construct an interpretable predictive model for students' AI learning and usage behavior. The study shows that ethical awareness, educational background, and practical application experience are important factors influencing students' behavior. Based on this model, we further developed a behavior promotion system, providing new ideas and tools for optimizing AI education in universities. However, this study also has limitations, such as a single source of sample data. Future research could expand the sample range to further verify the generalizability of the research conclusions.

Higher education Islamic Religious Education plays a strategic role in shaping students who not only understand Islamic teachings conceptually but also internalize spiritual values in their daily lives. However, learning practices in universities often emphasize cognitive understanding rather than the integration of cognitive and affective dimensions. This study aims to analyze the implementation of mind mapping in the “Manusia Bertuhan” (Human as a Theistic Being) learning material to integrate students’ cognitive understanding and spiritual awareness in the Management Study Program, Faculty of Economics and Business, Universitas Negeri Makassar, Indonesia. The study employed a quantitative approach using a quasi-experimental design with a one-group pretest–posttest model. The participants consisted of 38 management students enrolled in the Islamic Religious Education course in the 2025/2026 academic year, selected through purposive sampling. Data were collected through cognitive tests, a spiritual awareness questionnaire using a Likert scale, observation sheets of student engagement, and assessment rubrics for mind mapping products. Data analysis included descriptive statistics, normality testing, paired sample t-test, normalized gain (N-gain), correlation analysis, and effect size calculation (Cohen’s d) using SPSS. The findings revealed significant improvements in both cognitive and affective domains after the implementation of mind mapping. The mean cognitive score increased from 67.4 to 82.6, while spiritual awareness scores increased from 72.1 to 85.3. The paired sample t-test showed a significant difference (p &lt; 0.001) with a large effect size (Cohen’s d = 0.87). In addition, correlation analysis indicated a positive relationship between cognitive understanding and spiritual awareness (r = 0.61, p &lt; 0.01). These results suggest that mind mapping effectively supports the integration of knowledge and value internalization in Islamic Religious Education learning. The study implies that visual and student-centered learning strategies can strengthen both conceptual understanding and spiritual development of university students. Future studies may expand the design using control groups and broader academic contexts.

Probability and Mathematical Statistics is a fundamental public mathematics course widely offered to science, engineering, and economics–management students in Chinese universities. [1] Driven by global educational digitalization and national initiatives of emerging engineering and emerging liberal arts, traditional teaching has been constrained by overemphasis on abstract theories, insufficient practical instruction, limited personalized support, and oversimplified assessment systems. These shortcomings severely hinder the cultivation of data literacy and statistical reasoning abilities required by contemporary talent development. As an advanced technological tool, generative artificial intelligence presents great potential for innovating instructional design and improving learning effectiveness in higher mathematics education. Based on authoritative data from the Ministry of Education of China, national teaching surveys, and institutional teaching practices, this study identifies core challenges in current probability and statistics education, analyzes the transformative value of generative AI for teaching improvement, and proposes a systematic reform framework covering curriculum optimization, pedagogical innovation, practical training enhancement, and diversified assessment construction. This paper also clarifies ethical boundaries and practical principles for the responsible integration of generative AI. The conclusions and pathways are intended to provide reliable, evidence-based references for advancing the high-quality development of probability and statistics teaching in Chinese tertiary education.

This research investigates how Buddhist-Inspired Mindful Practices which include: Mindful Awareness, Right Intention, Right Effort, Compassion and Wisdom influence Learning Effectiveness among postgraduate management students in Butwal Sub-metropolitan City, Nepal. A quantitative design, cross-sectional design was used. A structured questionnaire comprising of thirty questions on a five-point Likert scale was used to collect data. A census method was used and 420 questionnaires were administered to get 412 responses. Partial Least Squares Structural Equation Modeling with bootstrapping was used to test reliability, validity, model fit and hypotheses. The findings revealed that Buddhist-Inspired Mindful Practices is very important in boosting Learning Effectiveness. Likewise, among the five dimensions of BIMP, the strongest contributors were Mindful Awareness and Right Effort which were followed by Wisdom, Right Intention and Compassion. The model demonstrates power of prediction, which proves that these inner potentials contribute towards acts of concentration, perseverance, emotional control, and significant scholastic interaction. The study proves Buddhist-oriented model of mindfulness in universities and suggests that higher education must integrate mindful practices in education, curriculum and student progress to promote overall scholastic and individual well-being.

Water conservation has become one of the major ecological challenges of the 21st century. Education is therefore critical to fostering awareness of water-related issues among future managers and policymakers. In this regard, this study examines the XL Blue Walk, an experiential learning program implemented in France. Thirteen business school students (undergraduate and graduate levels) participated in the initiative. The program combined a walking journey with site visits and meetings with water management experts. Drawing on a three-stage data collection process and thematic content analysis, the research highlights the nuanced effectiveness of the experiential learning program for knowledge acquisition and assimilation. While the program’s flexible structure and diverse interactions facilitated knowledge transmission, students tended to retain lived experiences more strongly than the theoretical knowledge conveyed during the XL Blue Walk. However, their perception of water evolved toward a heightened awareness of the need to preserve this resource. Several participants even reported initial behavioral changes, adopting more sober and conservation-oriented practices following their participation in the program. Thus, this study contributes to theoretical knowledge on the effectiveness of experiential learning and on raising students’ awareness of water-related issues. By proposing adaptable formats, the study presents the XL Blue Walk as a transferable model for management education.

On-the-job training (OJT) is a vital component of hospitality education, bridging classroom learning with real-world industry experience and preparing students for professional careers. This study explored the workplace experiences of Hospitality Management students during their OJT, focusing on daily tasks, challenges, learning outcomes, and coping strategies. A convergent parallel mixed-methods design was employed, combining quantitative survey data and qualitative insights from in-depth interviews with 51 fourth-year students of Columban College, Inc. Data were analyzed using descriptive statistics and thematic analysis and integrated to provide a holistic understanding of the OJT experience. Findings revealed that most students were assigned to local hotels, primarily in housekeeping and food and beverage departments. Students expressed high satisfaction with skill development and workplace exposure, showing improvements in technical competencies, communication, and adaptability. However, supervision, mentorship, and application of academic knowledge were moderately rated, indicating gaps between theory and practice. Challenges included heavy workloads, work-related stress, communication issues, limited support, and adjustment difficulties. Despite this, students demonstrated resilience through seeking guidance, maintaining positivity, and adapting to workplace demands. Overall, OJT positively influenced knowledge, skills, and professional attitudes. The study recommends enhancing supervision, aligning curricula with industry needs, and strengthening support systems to improve OJT effectiveness.

The aim of this research is to analyze the influence of entrepreneurial education and the theory of planned behavior on digital entrepreneurial intention at universities in Banten. The method used in this research is quantitative with a purposive sampling method. In this research, the subjects were 230 respondents consisting of active management students. Data analysis in this study used the Smart PLS application Version 4.0. and used partial least squares-structural equation modeling (PLS-SEM). This research has the results that Attitude toward Behavior 0.167, Subjective Norm 0.158, Perceived Behavioral Control 0.132, and Entrepreneurial Education 0.163, have a positive and significant influence on Digital Entrepreneurial Intention. R2 is 0.130 in low category. According to the managerial implication Universities located in Banten can provide facilities that bring together fellow management students interested in Digital Entrepreneurship, also can provide students with more knowledge about Digital Entrepreneurship, such as seminars.

This study aims to analyze the role of affiliate marketing, cashback programs, and flash sales in driving consumer purchase decisions on the Shopee marketplace. The research adopts a quantitative approach using a survey method involving 130 respondents from Management students at Universitas Muhammadiyah Bengkulu. Data were collected through structured questionnaires and analyzed using multiple linear regression. The findings indicate that affiliate marketing has a positive and significant effect on purchase decisions, reflecting the importance of credible recommendations and promotional content. Cashback programs also show a significant positive influence by enhancing perceived economic value among consumers. Furthermore, flash sales demonstrate the strongest effect, as time limited promotions create urgency and encourage immediate purchasing behavior. Simultaneously, all three variables significantly influence consumer purchase decisions. This study highlights the importance of integrated digital marketing strategies in influencing consumer behavior in the e-commerce sector.

The purpose of this paper is to contribute meaningful insights into the literature of psychological/ individual factors that influence the intention of post graduate management students to pursue entrepreneurship as a career option. The psychological factors chosen for this study are Innovativeness, Need for Achievement, Tolerance of Ambiguity, Locus of Control, Propensity to Take Risk, and Self-Confidence, Additionally, this study seeks to understand whether the entrepreneurial background of the student’s family plays a vital role in such career decisions. Data was collected from 120 Post graduate management students in colleges of Kerala’s North Malabar region using a 33-item, self-administered, web-based questionnaire measured with five-point Likert scale. The findings highlight strong association of self-confidence, need for achievement, and innovativeness with Entrepreneurial intention while the rest of the factors showing insignificant or low association with entrepreneurial intention. Reliability and validity analyses confirm the robustness of the model. The study offers insights that can help shape entrepreneurship education and policy.