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To encourage entrepreneurship, which accelerates economic growth by increasing employment opportunities and competitiveness, stakeholders must conduct studies and develop policies that consider both the current situation and future expectations. This study aims to examine the environmental and personal factors that influence students’ entrepreneurial intentions (EIs), using a model based on the theory of planned behaviour (TPB) and social cognitive theories (SCT).

This study proposed an institutional framework demonstrating contextual features to achieve this objective. This theoretical framework is evaluated using a sample of 375 university students in Türkiye.

The empirical findings can help policymakers develop effective policies to encourage entrepreneurship.

The study focuses on EIs; it is possible that even if a participant indicated a high EI in the survey, they will ultimately pursue a completely different career path.

The study also contributes to entrepreneurship literature studies investigating the relationships between the TPB and SCT.

By testing specific hypotheses for Türkiye, this study contributes to the demand for entrepreneurship research in countries that are major global players but have vastly different sociocultural contexts than Western countries.

The study draws a theoretical model that explains the factors affecting the EIs of university students and attempts to explain the EIs of university students with and without business education within this model.

While technical vocational education training (TVET) has been studied in-depth, the evolution and performance patterns of the subject remain unknown and limited. A bibliometric analysis was performed to examine the global scientific literature to assess the state of the art in TVET research over the past 23 years.

The Web of Science (WoS) database was searched to explore TVET-related research from 1999 to 2021, resulting in the identification of 7,512 articles. The VOSviewer software was used to investigate the network of collaboration between authors, institutions, countries and author keywords.

The results reveal that the subject categories of “education” and “educational research” are the most prolific contributors to TVET-related research, with 3,314 articles. Most of the previous studies in Phase I (1999–2006) focussed on human capital resources development in the TVET sector. Phase II (2007–2014) follows with the centralisation of TVET, focussing on technology transition in education. However, in Phase III (2015–2021), researchers appear to focus on vocational studies in higher education towards increasing the productivity of human resources via the implementation of technology transition.

The valuable findings of this study can facilitate better understanding among scholars on the trends of TVET research developments and on the direction of future research.

Customer relationships and transforming customers into evangelists are imperative in today's world. Therefore, this study aimed to examine the influence of online brand experience (OBE) on brand evangelism (BEM) via relationship quality (trust-TRT, satisfaction-SAT, and commitment-CMT) by integrating the moderating effects of brand reputation (BR), particularly in the Vietnamese banking sector.

This research obtained data from 486 Vietnamese customers who routinely used online banking services. The analysis was performed using structural equation modeling.

The findings demonstrate that OBE directly/indirectly positively affects BEM via relationship quality (TRT, SAT, CMT). Likewise, this study identified relationship quality (TRT, SAT, CMT) as an important mediator. Finally, the findings demonstrate that the moderation effects of BR significantly improved relationship quality (TRT, SAT, CMT) in the banking industry.

This study showcases the significance of OBE in increasing brand evangelists in the financial sector. Thus, this study assists Vietnamese bank managers in creating new branding strategies to foster long-lasting customer relationships.

This original study contributes to the commitment-trust theory and signaling theory by examining the impact of the OBE on brand evangelism via relationship quality by considering the moderating effect of brand reputation in the Vietnamese banking sector.

The direction of causality between job satisfaction and job performance (known as the holy grail of industrial psychologists) is undetermined and related research findings in different organizational contexts are mixed. Based on the ample literature, mainly from Western countries, on the relationship between job satisfaction and job performance, a non-recursive bow pattern model was utilized to investigate the direct relationship between these two variables in an Asia–Pacific higher education system.

This study is quantitative in approach and survey in design. Additionally, to meet the statistical requirements of non-recursive bow pattern analysis, the authors added welfare as a theory-driven instrumental variable to introduce exogenous variability. Using the efficient partial least squares (PLSe2) estimator, the authors fitted the model to the data collected from 2008 academics affiliated with Malaysian public universities and polytechnics.

The results showed that while job satisfaction is considerably influenced by welfare, it is not a significant predictor of job performance directly. In addition, a meaningful positive correlation between the disturbance terms of job satisfaction and job performance was observed, suggesting the existence of other factors that could increase both job satisfaction and job performance. The findings' theoretical and practical implications are discussed, and a list of theory-driven evidenced-based policies in this regard is provided.

This is the first study to test a non-recursive bow pattern model and examine the holy grail of industrial psychology based on the PLSe2 methodology, as a parametric approach to partial least squares (PLS), in a higher education context. This study also provides higher education researchers with the advantages of the PLSe2 method, especially in causal-predictive modeling, in the context of applied higher education research.

This study aims to examine the effectiveness of the Central Board of Secondary Education (CBSE)-based English textbooks and question papers in developing second-language higher-order thinking skills (HOTS).

Descriptive analysis establishes a causal relationship between learning objectives and second language (L2) writing proficiency. Content analysis is used to compare and analyze tabulated data for textbooks and question papers for the English language by the National Council of Educational Research and Training (NCERT) and CBSE. This method categorizes the materials and their assessments under HOTS and lower-order thinking skills to ascertain the relationship between learning objectives and L2 writing proficiency.

The study highlights teaching material and assessment shortcomings and their alignment with learning outcomes to enhance students' writing skills. It underscores the need for HOTS-focused materials, discussing their impact on writing skills. The study also explores how textbook–question paper mismatch hampers Bloom's taxonomy-based cognitive skills.

This research illuminates the efficacy of teaching and learning English as a second language (ESL) writing skills to improve the quality of education, which has real-world implications. The study highlights flaws in the educational system in India and suggests curricular and pedagogical changes.

The research examines NCERT and CBSE ESL textbooks and question papers to align teaching and assessment methods. The results aim to improve education through ESL writers' HOTS.

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

The extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.

A process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.

The study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.

The maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.

This research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.

This paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.

Having the right intent, aspiration, ability and attitude to become an entrepreneur has become the mantra in the extant literature to be driver of entrepreneurship and small and medium enterprise (SME) growth. Why would zealous and ambitious individuals with all rightful attributes so required of entrepreneurs have to fizzle out few years after venturing into business or SMEs? Perhaps these same individuals may relocate to other jurisdictions and would establish successful firms even beyond their imaginations. Beyond the individual’s entrepreneurial attributes, there are other external countervailing forces which either “enable” or “impede” entrepreneurial drive and SME growth processes. Adopting the theory of planned behavior, this study conceptualizes a systems framework to analyze how SMEs either flourish or fail in developing countries.

The study relies on secondary sources of data. It adopts a critical stage review of secondary data.

The study argues that the interplay of “internal factors” and “external factors” of prospective entrepreneurs provides a useful framework to explain the general SME outlook of an economy. The study postulates that many internally driven prospective SME entrants (with entrepreneurial attitudes, abilities and aspirations) mostly in the developing economies may have their dreams shattered because of obstructive external ecological elements which tend to frustrate new business entrants as well as existing ones.

With the aid of a framework, this study conceptualizes a comprehensive framework to analyze how SMEs either flourish or fail in developing countries.

This study aims to explore and identify potential challenges and prospects for conducting the professional shariah audit training programme via an e-learning approach during coronavirus disease 2019 (COVID-19).

Questionnaires were administered to 296 participants who were enrolled in the professional shariah audit training programme via e-learning during the COVID-19 pandemic outbreak in 2020. These participants were final-year students from selected Malaysian public universities.

Findings show that several main challenges are faced in adopting an e-learning approach for conducting the professional shariah audit training programme such as the inability to do more hands-on, group and physical activities, different understandings based on academic backgrounds, difficulty in learning practical and technical topics, technical issues and problems during e-learning sessions. These lead to the unsuitability of conducting professional training via the e-learning approach. In terms of prospects of knowledge learnt via the e-learning approach, participants showed that they are able to master all six modules covered in the professional shariah audit training programme via the e-learning approach. These include (1) shariah principles; (2) shariah governance; (3) Islamic financial transactions; (4) shariah risk management; (5) shariah audit planning and programme; and (6) shariah audit fieldwork and communication.

Based on the findings, it is suggested to have more time spent and earlier preparation on the learning contents and sessions, more discussion on actual contents and practical exercises and competency of the trainers in delivering e-learning sessions.

This study is believed to be one among the pioneering studies on the potential challenges and prospects in adopting e-learning for conducting the professional shariah audit training programme due to COVID-19.

Higher education institutions (HEIs) face the formidable responsibility of equipping students with the requisite knowledge and skills essential for a successful transition into the professional workforce. In contemporary education, simulation-based learning (SBL) has emerged as a pivotal tool employed by HEIs to facilitate and enhance the learning experience. MonsoonSIM stands out as a notable simulation-based experiential learning platform, encompassing a wide spectrum of business processes. This study aims to investigate the effectiveness of SBL in Malaysian HEI, with a specific focus on utilizing MonsoonSIM to bolster students' knowledge and skills.

To gather empirical evidence, an online survey questionnaire was methodically distributed to 254 students enrolled in Malaysian HEIs, employing purposive sampling techniques. A total of 114 valid responses were collected and subjected to rigorous analysis using SmartPLS4, leveraging the partial least squares structural equation modeling methodology.

The outcomes of this investigation shed light on the positive influence of marketing management knowledge on the effectiveness of SBL. However, it was observed that problem-solving and critical thinking skills, financial management and production management knowledge did not exhibit a statistically significant impact on the effectiveness of SBL.

This study contributes to the existing body of knowledge by offering valuable insights into how students engage with and derive learning outcomes from simulation-based educational tools. The findings underscore the pivotal role of integrating SBL into the broader pedagogical framework to enhance the overall learning experience.

The aim of this paper is to systematically review the literature published in recognized journals focused on recognition-based heuristics and their effect on investment management activities and to ascertain some substantial gaps related to them.

For doing research synthesis, systematic literature review approach was applied considering research studies published within the time period, i.e. 1980–2020. This study attempted to accomplish a critical review of 59 studies out of 118 studies identified, which were published in reputable journals to synthesize the existing literature in the behavioural finance domain-related explicitly to recognition-based heuristics and their effect on investment management activities.

The survey and analysis suggest investors consistently rely on the recognition-based heuristic-driven biases when trading stocks, resulting in irrational decisions, and an investment strategy constructed by implementing the recognition-based heuristics, would not result in better returns to investors on a consistent basis. Institutional investors are less likely to be affected by these name-based behavioural biases in comparison to individual investors. However, under the context of ecological rationality, recognition-based heuristics work better and sometimes dominate the classical methods. The research scholars from the behavioural finance community have highlighted that recognition-based heuristics and their impact on investment management activities are high profile areas, needed to be explored further in the field of behavioural finance. The study of recognition-based heuristic-driven biases has been found to be insufficient in the context of emerging economies like Pakistan.

The skilful understanding and knowledge of the recognition-based heuristic-driven biases will help the investors, financial institutions and policy-makers to overcome the adverse effect of these behavioural biases in the stock market. This article provides a detailed explanation of recognition-based heuristic-driven biases and their influence on investment management activities which could be very useful for finance practitioners’ such as investor who plays at the stock exchange, a portfolio manager, a financial strategist/advisor in an investment firm, a financial planner, an investment banker, a trader/ broker at the stock exchange or a financial analyst. But most importantly, the term also includes all those persons who manage corporate entities and are responsible for making its financial management strategies.

Currently, no recent study exists, which reviews and evaluates the empirical research on recognition-based heuristic-driven biases displayed by investors. The current study is original in discussing the role of recognition-based heuristic-driven biases in investment management activities by means of research synthesis. This paper is useful to researchers, academicians, and those working in the area of behavioural finance in understanding the role that recognition-based heuristics plays in investment management activities.