Search results

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.

Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.

Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.

Construction enterprises are achieving the goal of production safety by increasingly focusing on the critical factor of “human” and the impact of individual characteristics on safety performance. Emotional intelligence is categorized into three models: skill-based, trait-based and emotional learning systems. However, the mechanism of action and the internal relationship between emotional intelligence and safety performance must be further studied. This study intends to examine the internal mechanism of emotional intelligence on safety performance in construction projects, which would contribute to the safety management of construction enterprises.

A structural equation model exploring the relationship between emotional intelligence and safety performance is developed, with political skill introduced as an independent dimension, situational awareness presented as a mediator, and management safety commitment introduced as a moderator. Data were collected by a random questionnaire and analyzed by SPSS 24.0 and AMOS 26.0. The structural equation model tested the mediation hypothesis, and the PROCESS macro program tested the moderated mediation hypothesis.

The results showed that construction workers' emotional intelligence directly correlates with safety performance, and situational awareness plays a mediating role in the relationship between emotional intelligence and the safety performance of construction workers. Management safety commitment weakens the positive predictive relationships between emotional intelligence and situational awareness and between emotional intelligence and safety performance.

This research reveals a possible impact of emotional intelligence on safety performance. Adding political skills to the skill-based model of emotional intelligence received a test pass. Political skill measures the sincere and cooperative skills of construction workers. Using people as a critical element plays a role in the benign mechanism of “Emotional Intelligence – Situational Awareness – Safety Performance.” Improving emotional intelligence skills through training, enhancing situational awareness, understanding, anticipation and coordination and activating management environment factors can improve safety performance. Construction enterprises should evaluate and train workers' emotional intelligence to improve workers' situational awareness and safety performance.

This study aims at investigating how hybrid intelligence might enhance employee engagement in breakthrough innovation. Specifically, it empirically examines the mediating role of self-extinction and moderating role of social intelligence.

This study, using the lens of socio-technical system (STS) theory, collected data from 317 employees through cross-sectional survey. The hypotheses were tested using MPlus 8.3 by applying Structural Equation Modelling (SEM).

The results support the proposed model, suggesting that hybrid intelligence fosters employees' breakthrough innovation engagement and such a relationship is fully mediated by self-extinction. Besides, the findings provide support for the positive moderating impact of social intelligence on such indirect relationships in a way that high social intelligence will further strengthen the relationship.

As a pioneering contribution, the study uncovers the social mechanism that underlies hybrid intelligence–breakthrough innovation engagement relationship via self-extinction. The research suggests managers leveraging employees' social intelligence for playing a critical role in countering the negative impact of self-extinction by enhancing the employees' engagement in the breakthrough innovation process.

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.

Practitioners and management researchers have chorused the salvific tendencies of spiritual intelligence. Whilst the emergence of spirituality and its derivatives in the workplace is widely acclaimed, the conflict that exists between spiritual ideals and the capitalist ethos of modern organisations raises questions about dark manifestations. This incongruence necessitates the consideration of the misuse of spiritual intelligence.

This paper adopts conceptual lens and theoretical arguments to interrogate the assumption of absolute constructiveness that is accorded spiritual intelligence in its framing and discusses the potential of a dark side.

The dark side of spiritual intelligence is its deployment to achieve self-serving purposes, to harm, rather than to help others. More practitioners and management researchers must acknowledge that spiritual intelligence and workplace spirituality may have dark manifestations and incorporate this reality in the assessment of organisations and the individuals within them.

This exploratory article joins the sparse extant literature on the dark side of spiritual intelligence and workplace spirituality. It contributes to the literature by offering critical insights into spiritual intelligence and the need to integrate the potential for misuse in the existing models.

This study aimed to assess emotional intelligence (EI) among young adults across three Arab countries: Egypt, Jordan and the United Arab Emirates.

A total of 1884 university students participated from the three countries and completed the Schutte Self Report Emotional Intelligence Test (SSEIT). Data were validated by confirmatory factor analysis using SPSS AMOS version 29. Path analysis, t-tests and analyses of variance were performed to understand the influence of background variables on the EI of the study participants.

The results provide theoretical support for the SSEIT and the hypothesized relationship between managing personal and others' emotions. Although significant differences were found between participants in terms of gender and grade point average (GPA), no difference was found between participants based on nationality. The results of this study indicate the need to prioritize EI in young adults and other implications.

The importance of EI in individuals' daily lives cannot be overemphasized. However, scholarly insights into the state of EI in the Arab context are scarce.

The COVID-19 pandemic was an eye-opening experience that put to the test our crisis management competencies across many institutions, including those offered by institutions of higher education. This study aims to review the literature on international business (IB) risks and IB education (IBE) to question whether business graduates are equipped to make decisions in today’s volatile, uncertain, complex and ambiguous (VUCA) marketplace.

While the IB literature has discussed the importance of various sources of risks on global business operations, IBE did not effectively adopt an integrative approach to building the needed risk management competencies related to those risks into our education. The authors argue that this integrative approach to teaching IB is critically needed to prepare future global managers for addressing crises, like that of the pandemic and others. Specifically, this study proposes that this integrated risk management competency can be developed through the building of “synergistic mindsets”.

This study presents a conceptual framework for the components of the synergistic mindset, with intelligence that directly links to present IB risks. These components are cultural intelligence (CQ), emotional intelligence (EQ), public policy intelligence (PPQ), digital intelligence (DQ) and orchestration intelligence (OQ).

Insights related to IBE effectiveness in addressing today’s VUCA market demands and IB risks are discussed.

This study aims to provide empirical insights pertaining to the impact of trait emotional intelligence on the mental well-being of students in higher education institutions (HEIs) in India.

In the current study, responses from a total of 252 students were randomly taken from different universities of Uttarakhand (India). The analysis was done using structural equation modelling AMOS 23.

The current study empirically established the positive impact of trait emotional intelligence (TEI) on the mental well-being of students and highlighted the relevance of TEI in curbing the psychological distress in students of HEIs.

This study endeavours to bridge the empirical and population gap by examining the emotional intelligence and its impact on mental well-being of the students of Indian HEIs, where studies are still scant and demand massive exploration of the perceptions of students. Strong emotional intelligence is pivotal in strengthening the mental well-being of students so that they can make appropriate decisions pertaining to their career and personal life.

The development of new advanced materials, such as photopolymerizable resins for use in stereolithography (SLA) and Ti6Al4V manufacture via selective laser melting (SLM) processes, have gained significant attention in recent years. Their accuracy, multi-material capability and application in novel fields, such as implantology, biomedical, aviation and energy industries, underscore the growing importance of these materials. The purpose of this study is oriented toward the application of new advanced materials in stent manufacturing realized by 3D printing technologies.

The methodology for designing personalized medical devices, implies computed tomography (CT) or magnetic resonance (MR) techniques. By realizing segmentation, reverse engineering and deriving a 3D model of a blood vessel, a subsequent stent design is achieved. The tessellation process and 3D printing methods can then be used to produce these parts. In this context, the SLA technology, in close correlation with the new types of developed resins, has brought significant evolution, as demonstrated through the analyses that are realized in the research presented in this study. This study undertakes a comprehensive approach, establishing experimentally the characteristics of two new types of photopolymerizable resins (both undoped and doped with micro-ceramic powders), remarking their great accuracy for 3D modeling in die-casting techniques, especially in the production process of customized stents.

A series of analyses were conducted, including scanning electron microscopy, energy-dispersive X-ray spectroscopy, mapping and roughness tests. Additionally, the structural integrity and molecular bonding of these resins were assessed by Fourier-transform infrared spectroscopy–attenuated total reflectance analysis. The research also explored the possibilities of using metallic alloys for producing the stents, comparing the direct manufacturing methods of stents’ struts by SLM technology using Ti6Al4V with stent models made from photopolymerizable resins using SLA. Furthermore, computer-aided engineering (CAE) simulations for two different stent struts were carried out, providing insights into the potential of using these materials and methods for realizing the production of stents.

This study covers advancements in materials and additive manufacturing methods but also approaches the use of CAE analysis, introducing in this way novel elements to the domain of customized stent manufacturing. The emerging applications of these resins, along with metallic alloys and 3D printing technologies, have brought significant contributions to the biomedical domain, as emphasized in this study. This study concludes by highlighting the current challenges and future research directions in the use of photopolymerizable resins and biocompatible metallic alloys, while also emphasizing the integration of artificial intelligence in the design process of customized stents by taking into consideration the 3D printing technologies that are used for producing these stents.

This study aims to examine the relationship between a team’s value diversity (VD) and creativity and investigate the moderating effect of emotional intelligence (EI) to explain inconsistent results regarding this relationship.

We conducted a cross-sectional sequential study with 340 employees and tested the hypothesis in a laboratory setting with 180 undergraduate students.

EI had a moderating effect on the relationship between a team’s VD and creativity in that the relationship was positive among teams with high EI. However, the relationship tended to be negative in the long term among teams with low EI.

Managers should pay attention to how teams benefit from VD because it can help or harm team performance. By assigning people with different EI levels into suitable teams and providing EI interventions, organizations may manage affective consequences and enjoy more benefits of cognitive consequences resulting from VD.

No previous study has investigated the effect of a team’s EI in the relationship between VD and team creativity. Drawing on the categorization-elaboration model of diversity and affective events theory, through the present two-study design, we obtained data from multiple sources and improved limitations in measurements of previous studies, thereby broadening the literature by highlighting the dynamic relationship between a team’s EI, VD and creativity in the Vietnamese context.