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This study intends to explore the influence of emotional intelligence on employee self-efficacy in Pakistan's telecom industry. Besides, it explores the mediating effect of emotional labor (surface acting and deep acting) between them. This study also tests the relationship between emotional labor (surface acting and deep acting) and self-efficacy in the customer care of Pakistan's telecom division.

The study leads forward with a positivist approach to obtain data in two different waves as a time lag study from the big five telecom companies operating in Pakistan. The data was collected from 270 employees working in Customer Services in the Telecom sector.

The results reveal that there exists a positive relationship between emotional intelligence and self-efficacy in customer care employees in Pakistan's telecommunication division sector. Moreover, emotional labor (deep acting) partially mediates the relationship between emotional intelligence and self-efficacy, and surface acting could not mediate the relationship among the employees of customer care in Pakistan's telecom division.

Management of emotions at the workplace has been an immensely vital area in managing the performance of employees, especially in customer-centric jobs, where dealing with customers is the prime focus and achieving customer satisfaction is the utmost outcome. There is limited evidence of the relationship between emotional intelligence and self-efficacy specifically in the customer care of the Telecom sector.

This research examines the mediating effect of self-efficacy among interrelationships of emotional intelligence, achievement motivation and students’ employability in the Chinese higher education institutions. This study was primarily conducted by applying the social cognitive theory to explain the beliefs and abilities of being employed for university students and influenced by their achievement motivation.

A survey approach was employed to collect the samples of 585 final-year college students using the convenience sampling method from 5 different Chinese higher education institutions. The structural equation modeling (SEM) approach was used as the data analysis method.

The result significantly supported the positive effect of emotional intelligence (ß = 0.298, p < 0.001) and achievement motivation (ß = 0.307, p < 0.001) on students’ employability. Furthermore, the results also showed that self-efficacy significantly had a mediating effect between achievement motivation and employability (ß = 0.119, CI95%: 0.062, 0.195) among college students. However, the study confirmed that self-efficacy was not associated with the relationship between emotional intelligence and employability (ß = 0.029, CI95%: −0.003, 0.075).

This research clarifies and highlights that psychological variables have highly correlated with the employability outcomes of university students. The findings also hold significant value and practical implications for the governments, colleges, and students that enhancing employability should be through targeted interventions. This study sets the stage for future research exploring potential mediators of motivation and other essential factors that may influence among the existing relationship.

This study aims to explore the potential benefits of integrating Artificial Intelligence (AI) with Social Emotional Learning (SEL) in educational settings.

A systematic review of emerging AI technologies such as virtual reality, chatbots, sentiment analysis tools, gamification and wearable devices is conducted to assess their applicability in enhancing SEL.

AI technologies present opportunities for personalized support, increased engagement, empathy development and promotion of well-being within SEL frameworks.

Future research should focus on addressing ethical concerns, fostering interdisciplinary collaborations, conducting longitudinal studies, promoting cultural sensitivity and developing robust ecosystems for AI in SEL.

This study contributes by outlining pathways for leveraging AI to create inclusive and supportive learning environments that nurture students' socio-emotional competencies, preparing them for success in a globally connected world.

Job performance literature has evolved to address the aspects of performance thinking where knowledge sharing (KS) and emotions on the job are considered important. This study evaluates the influence of emotional intelligence (EI), mediated through KS, on job outcomes measured as job performance (JP) and job satisfaction (JS).

Structural equation modeling methods are used to investigate the degree of influence of EI on job outcomes through KS. The data for analysis has been collected from 227 project managers at Information Technology-Information Technology Enabled Services (IT-ITeS) firms.

The findings suggest that the EI has a positive and significant effect on KS. This implies that employees with high EI scores are more involved in the KS behavior. Furthermore, the findings suggest that KS partially mediates the relationship between EI and JP, and it fully mediates the relationship between EI and JS.

For KS, the answer lies in the recruitment and retention of emotionally intelligent persons rather than investing only in information technology. The study enhances the literature on knowledge management, sharing and EI.

The proposed research model suggests a successful infusion of KS within IT-ITeS firms. Knowing the EI of employees and, accordingly, changing their behavior towards sharing knowledge is probably a distinctive, most efficacious and essential strategy for augmenting job outcomes.

The study establishes the role of KS in translating the impact of EI on JP and JS. Furthermore, it contributes a novel framework of KS behavior.

Emotional intelligence (EI) and authentic leadership are essential attributes for effective healthcare management. Understanding their interplay can inform leadership development and improve patient care outcomes. This study aims to determine the relationship between EI and authentic leadership among nurse managers.

Study conducted a cross-sectional study, collecting data from 198 nurse managers using surveys assessing EI and authentic leadership. Correlation and regression analyses were used to explore the relationship and impact of EI on authentic leadership. STROBE checklist used to report the study.

The findings revealed a positive and significant relationship between nurse managers’ EI and their authentic leadership characteristics. Higher EI scores were associated with increased authenticity in leadership. EI, particularly interpersonal EI, plays a crucial role in authentic leadership. Enhancing nurse managers’ EI can foster more authentic leadership, positively impacting healthcare settings.

This research underscores the importance of EI in leadership development and its potential for improving patient care and organizational outcomes.

The paper aims to close a literature gap by proposing a comprehensive conceptual soft skills competency framework for enhancing graduate intern employability through the cultivation of employability capital.

The study employed a theoretical inquiry and delved into the existing literature on employability, soft skills competencies and employability capital to establish a comprehensive foundation to formulate the conceptual framework. A content analysis of existing empirical studies was conducted to derive a generic list of employers’ required soft skills. A Delphi technique was employed to harness expert consensus and insights into the derived framework.

Employability capital can be cultivated in the setting of work-integrated learning programmes and synergised through emotional and social intelligence interventions to enhance soft skills competency and graduate employability.

The soft skills identified may overlook other important skills required by employers. Increasing participation in the Delphi study could yield additional valuable insights. Validation of the framework is needed in practical settings to understand its effectiveness and applicability to real-world organisational needs.

This study significantly enhances understanding of the role of employability capital in soft skills competency development and graduate employability through work-integrated learning programs and self-development. In addition, the framework has the potential to positively impact the employer-employee relationship.

The key theoretical contribution is a soft skill development framework that offers employers and graduates a means to identify and address deficiencies through WIL and self-development.

This exploratory study innovates the pedagogy of undergraduate business research courses by integrating Generative Artificial Intelligence (GAI) tools, guided by human-centered artificial intelligence, social-emotional learning, and authenticity principles.

An insider case study approach was employed to examine an undergraduate business research course where 72 students utilized GAI for coursework. Thematic analysis was applied to their meta-reflective journals.

Students leverage GAI tools as brainstorming partners, co-writers, and co-readers, enhancing research efficiency and comprehension. They exhibit authenticity and human-centered AI principles in their GAI engagement. GAI integration imparts relevant AI skills to students.

Future research could explore how teams collectively interact with GAI tools.

Incorporating meta-reflections can promote responsible GAI usage and develop students' self-awareness, critical thinking, and ethical engagement.

Open discussions about social perceptions and emotional responses surrounding GAI use are necessary. Educators can foster a learning environment that nurtures students' holistic development, preparing them for technological challenges while preserving human learning and growth.

This study fills a gap in exploring the delivery and outcomes of AI-integrated undergraduate education, prioritizing student perspectives over the prevalent focus on educators' viewpoints. Additionally, it examines the teaching and application of AI for undergraduate research, diverging from current studies that primarily focus on research applications for academics.

This study aims to examine the relationship between cultural intelligence and organisational commitment and its effect on learning goal orientation and turnover intention within the expatriate society of the United Arab Emirates (UAE).

A survey instrument was developed to collect data from 173 non-management expatriates employed by multinational corporations located in Dubai, UAE. SmartPLS bootstrap software was used to analyse the path coefficients and test the research hypotheses.

The results demonstrate that cultural intelligence enhances both learning goal orientation and turnover intention of expatriates. Moreover, organisational commitment partially mediates the relationship between cultural intelligence and turnover intention/learning goal orientation.

This study contributes by advancing extant knowledge with regard to cultural intelligence and organisational commitment effects on turnover intention and learning goal orientation of expatriates within a context of high cultural heterogeneity.

The evolution of digital construction within Industrial Revolution 5.0 emphasises the harmonious integration of humans and technology, value-driven technology implementation, adaptive leadership and user-centric design solutions. This shift necessitates architects to enhance their soft skills to navigate the transition effectively. Failure to demonstrate these skills may confine architects to passive roles as technology consumers rather than innovative leaders. While existing research predominantly focuses on the technical aspects of digital construction, this study investigates how architects effectively manifest their soft skills within such dynamic contexts, addressing a critical gap in the current literature.

Employing an interpretive phenomenological approach, the research engaged 14 individual architects practicing in architectural consultancy practices (ACPs) in Malaysia through semi-structured interviews and written exercises to unveil their experiences.

Thematic analysis revealed six primary themes: “analytical and critical thinking,” “digital communication,” “diversity in leadership styles,” “emotional intelligence,” “ethics and professionalism,” and “curiosity and agility.”

Furthermore, the developed thematic map serves as a foundational resource for human resource practices aiming to design upskilling and reskilling programs that focus on nurturing soft skills. Emphasising soft skills, these programs are designed to thrive in the digital construction era and beyond.

These shared experiences significantly contribute to the theoretical understanding of soft skills within the digital construction context, providing novel insights into their practical application when addressing real-world implications.

The current research elucidates the role of empathy in design of artificial intelligence (AI) systems in healthcare context, through a structured literature review, analysis and synthesis of academic literature published between 1990 and 2024.

This study aims to advance the domain of empathy in AI by adopting theory constructs context method approach using the PRISMA 2020 framework.

The study presents a current state-of-the-art literature to review the connections between empathy and AI and identifying four clusters showing the emerging trajectories in the field of AI and empathy in healthcare setting.

Despite a rise in empirical research, the potential pathways enhancing AI accountability by incorporation of empathy is unclear. The research aims to contribute to the existing literature on AI and empathy in the healthcare sector by carving out four distinct clusters depicting the future research avenues.