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Adopting an institutional view of entrepreneurship, this study aims to explore the potential mediating role of entrepreneurial self-efficacy (ESE) in the relationship between subjective norms and the entrepreneurial intentions of Malaysian students. Additionally, social role theory (SRT) was used to examine whether gender acts as a boundary condition in the proposed relationship.

Empirical evidence was based on responses from 220 final-year students registered from a final-year entrepreneurship module at a private university in Malaysia. The hypothesised relationships were tested using Model 7 of the PROCESS macro.

The findings indicated that subjective norms had a weak but positive effect on the entrepreneurial intentions of Malaysian students. Moreover, ESE was found to mediate the relationship between subjective norms and entrepreneurial intentions. However, contrary to theoretical expectations, gender did not act as a boundary condition in the proposed mediation relationship.

By incorporating SRT with institutional theory, this study sought to address a knowledge gap in the existing literature by investigating and empirically exploring the moderating influence of gender on the mediating effect of ESE in the relationship between subjective norms and entrepreneurial intentions.

Youth entrepreneurship has been identified as a key driver in overcoming the economic crisis spurred by youth unemployment. However, the understanding of youth entrepreneurship is largely based on research in high-income countries. Furthermore, entrepreneurship studies to date are largely limited to the independent effects of individual traits on entrepreneurial intention (EI). Hence, this study aims to model the cognitive and social conditions, mediating processes and interactions to understand how youth EI can be formed and strengthened in an emerging economy.

A cross-sectional sample of 295 Malaysian youths participating in an online entrepreneurship program were included to assess their family socioeconomic background, individual personality traits and EI using regression, mediation and moderation models. Within the sample, 29 youths who completed the program were examined for pre- and post-training intervention differences to identify whether entrepreneurial traits can be developed.

Results showed that a proactive personality or proactiveness was a key mediator in how an internal locus of control (ILOC) and self-esteem influence EI. Furthermore, ILOC and proactiveness were found to compensate for the lack of parental financial support in the formation of EI among low-income youth. Finally, there was a significant increase in proactive personality scores post-intervention, indicating that this trait can be strengthened through entrepreneurship programs.

This study focused on parental income as an indicator of family socioeconomic background, which may not accurately represent the diversity of the socio-ecological environment of an individual. Therefore, future research should assess the multi-dimensional indicators of socioeconomic status and their relations with psychological attributes in shaping EI. Furthermore, this study observed a small sample size for the pre- and post-intervention analysis. Hence, more studies with large sample sizes are needed to examine the impact of entrepreneurship education.

Considering that entrepreneurship is envisioned as an instrument to lift youths out of poverty, this study has important implications for entrepreneurship programs that target low-income youths. The findings suggest that such programs need to first emphasize developing ILOC and proactiveness among these youths, thus enabling them to overcome various structural barriers toward entrepreneurship, as opposed to a purely knowledge-based learning approach.

To effectively lift youths out of poverty through entrepreneurship, policymakers and educational institutions need to first recognize that the EI of youth from varying socioeconomic backgrounds are formed differently. Hence, the approach of entrepreneurship programs catered toward youth from lower socioeconomic backgrounds will differ from programs catered to youths who are financially secure. Instead of a one-size-fits-all approach, entrepreneurship programs targeted at low-income youths must first emphasize building their mindsets of ILOC and proactivity to overcome financial challenges as opposed to focusing solely on building entrepreneurial skills and knowledge.

The findings offer a more holistic and nuanced view of the contingencies where the efforts of policymakers, educational institutions and practitioners are more likely to succeed in stimulating EI among youths in emerging economies. In addition, the study also bridges the gap between the theoretical understanding of EI and the practical implications of developing effective entrepreneurship programs by combining the cross-sectional analysis and pre- and post-intervention test in the same study. Importantly, the study highlighted the importance of considering youth’s socioeconomic background in the design and implementation of entrepreneurship programs.

Entrepreneurship studies have established various antecedents leading to eventual entrepreneurship by measuring entrepreneurial intention (EI). However, evidence has shown that intention does not necessarily translate into behaviour, especially for complex behaviours such as creating a business venture. Hence, this paper aims to examine how contextual and individual factors interact with one another to promote or inhibit one’s translation of EI into entrepreneurial action in an emerging economy.

The authors adopt a retrospective qualitative approach by interviewing 37 Malaysian micro and small business owners. Then, multidimensional scaling is used to examine the interactions between the identified factors.

The authors find that social networks are the main influence on an individual’s propensity to start a business – it provides financial and social capital, provides other means of support such as practical help and business opportunities and instils passion and drive. Furthermore, organisations such as schools, universities and employers play an important role in instilling the motivation for a career shift to entrepreneurship and by providing opportunities to upskill. In addition, the findings indicate that entrepreneurial traits such as proactiveness, resourcefulness and passion enable individuals to overcome entrepreneurial structural constraints, such as lack of resources and negative action-related emotions. By contrast, the role of macro-environmental factors such as governmental support play less prominent roles in the narratives of the entrepreneurs.

This study has important implications for governments and policymakers in implementing support for those transitioning from salaried employment to self-employment and for entrepreneurship interventions to adopt a holistic approach that encompasses building one’s entrepreneurial knowledge, skills and mindsets, alongside providing external incentives.

The authors provide a more holistic approach to exploring the EI–behaviour gap. In addition, this study explored facilitators and barriers to entrepreneurship specific to the context of an emerging economy such as Malaysia, which is highly dependent on small-scale self-employment.

China has become the world’s largest vehicle market, because of the strong governmental support to boost car sales and particularly because of the establishment of joint ventures between state-owned enterprises and world-class automakers. However, because many Sino-foreign joint ventures have performed unsatisfactorily in terms of creating indigenous brands, the purpose of this paper is to explore the cause-and-effect relationships among governmental policy support, Sino-foreign joint ventures and own-brand innovation in China’s passenger-car industry.

After briefly introducing the development history of the Chinese auto industry and reviewing relevant literature, first, the analytic hierarchy process method is used to create a unique, context-specific equation to measure the degree of policy support in China. This paper then uses the hierarchical multiple regression method to process the 2014 public data set.

The findings show that the degree of policy support increases the preference of the firms for producing foreign-brand cars, while such a relationship is fully mediated by the establishment of Sino-foreign joint ventures.

The research brings greater and deeper insights into the interplay among governmental policy, the conduct of own-brand strategy and international joint ventures in China’s auto market, showing that policy support may not always be beneficial, but sometimes be detrimental to indigenous innovation.

This paper can be seen as an exciting step that adds to a better understanding of the role of political support in shaping the strategic choices of firms in terms of brand innovation in the Chinese automobile industry. The proposed novel, context-specific approach for evaluating the degree of policy support embodies the distinctive institutional complexity and intricate social network embedded in the local car market during the period of China’s socio-economic transformation – an approach that is original in this field.

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has helped to develop novel teaching and learning solutions that are currently being tested in various contexts. Businesses and governments across the globe have been pouring money into a wide array of implementations, and dozens of EdTech start-ups are being funded to capitalise on this technological force. The penetration of AI in classroom teaching is also a profound matter of discussion. These have garnered massive amounts of student big data and have a significant impact on the life of both students and educators alike.

Purpose: The prime focus of this chapter is to extensively review and analyse the vast literature available on the utilities of AI in health care, learning, and development. The specific objective of thematic exploration of the literature is to explicate the principal facets and recent advances in the development and employment of AI in the latter. This chapter also aims to explore how the EdTech and healthcare–education sectors would witness a paradigm shift with the advent and incorporation of AI.

Design/Methodology/Approach: To provide context and evidence, relevant publications were identified on ScienceDirect, PubMed, and Google Scholar using keywords like AI, education, learning, health care, and development. In addition, the latest articles were also thoroughly reviewed to underscore recent advances in the same field.

Results: The implementation of AI in the learning, development, and healthcare sector is rising steeply, with a projected expansion of about 50% by 2022. These algorithms and user interfaces economically facilitate efficient delivery of the latter.

Conclusions: The EdTech and healthcare sector has great potential for a spectrum of AI-based interventions, providing access to learning opportunities and personalised experiences. These interventions are often economic in the long run compared to conventional modalities. However, several ethical and regulatory concerns should be addressed before the complete adoption of AI in these sectors.

Originality/Value: The value in exploring this topic is to present a view on the potential of employing AI in health care, medical education, and learning and development. It also intends to open a discussion of its potential benefits and a remedy to its shortcomings.

Although social media use at work has made great impact on employee work performance, little is known about the effect of social media use at work on construction employees, especially construction managers. In this way, the purpose of this study aims to investigate the impact of social media use at work on construction managers' work performance based on the enabler-process-intermediate outcome-performance framework.

This study adopts the knowledge seeker's perspective to empirically investigate the mechanism through which social media use at work impacts construction managers' work performance. Questionnaire survey was conducted with 210 construction managers to test the research model proposed in this study. A component-based structural equation modeling technique was employed to analyze the data.

Results show that social media use at work positively influences knowledge acquisition both internally and externally, and knowledge acquisition promotes task self-efficacy and creativity, which in turn improve construction managers' work performance. In addition, the interaction of task self-efficacy and creativity is found to negatively influence work performance.

These findings contribute to a comprehensive understanding about the impact of social media use at work on construction managers' work performance. This research also provides informative insights for practitioners on how to improve work performance.

This paper aims to propose an integrated bionic optimal design system to assist engineers in bionic design tasks. In this age of ecological awareness and sustainability, engineers are increasingly applying bionics to their product designs. A recent surge of research on bionics has presented new opportunities and challenges. To deal with these challenges, an integrated design system equipped with the capabilities of conducting biologically inspired design, solving technical contradictions, optimizing design parameters and verifying design effectiveness is required.

This study proposes a two-level analysis to help decision makers conduct multi-faceted observation and assessment on conceptual bionic design. The contradictions incurred when transferring biological principals to engineering design are solved using BioTRIZ, and the conceptual design is then created. This study conducts computer-aided engineering analysis, incorporating the Taguchi method and TOPSIS method, to obtain the optimal design of bionic products.

The proposed design process focuses on improving the product structure instead of changing the materials, and thus, the authors are able to put the goals of saving energy, environmental protection and sustainability into practice.

Through the design and analysis processes, the authors prove that their designed bionic-fan can effectively enhance operational efficiency and reduce the aerodynamic noise. The system can provide a practical tool for engineers intending to accomplish complete designs and verifications using bionics.

Most existing design methodologies that have attempted to combine biology with engineering design have fallen short in their level of thoroughness. This study proposes a complete bionic design system by integrating the processes of bionic-inspired design, optimization and verification.

This paper gives a review of the finite element techniques (FE) applied in the area of material processing. The latest trends in metal forming, non‐metal forming, powder metallurgy and composite material processing are briefly discussed. The range of applications of finite elements on these subjects is extremely wide and cannot be presented in a single paper; therefore the aim of the paper is to give FE researchers/users only an encyclopaedic view of the different possibilities that exist today in the various fields mentioned above. An appendix included at the end of the paper presents a bibliography on finite element applications in material processing for 1994‐1996, where 1,370 references are listed. This bibliography is an updating of the paper written by Brannberg and Mackerle which has been published in Engineering Computations, Vol. 11 No. 5, 1994, pp. 413‐55.

The advancements of mobile technologies and devices have greatly facilitated the extension of online services from web to mobile environments. Drawing on the categorization theory, the purpose of this paper is to explore the impact of perceived entitativity on users’ web-mobile service extension behavior. The research model considers how perceived entitativity serves as a category cue to link the category- and piecemeal-based processing and shape users’ adoption of extended mobile services.

An online survey (n=552) was conducted to empirically test the model. The data were analyzed by structural equation modeling approach.

The results offer two major findings. First, performance expectancy, perceived controllability and subjective norm are important antecedents of users’ usage intention. Second, perceived entitativity has three types of effects on usage intention: it exerts a direct and positive influence on usage intention; it indirectly facilitates usage intention through increasing PE and perceived controllability; and it moderates the relationship between subjective norm and usage intention.

This study contributes to the literature by taking into account the interplay of category- and piecemeal-based processing to understand consumers’ web-mobile service extension behavior.

This study aims to explore how communication visibility affects employees’ work engagement from the negative perspective of employees’ perceived overload in the context of enterprise social media (ESM) and the role of ESM policies in the relationship between communication visibility and perceived overload.

This study examines how communication visibility (i.e. message transparency and network translucence) affects employees’ perceived overload (i.e. information overload and social overload), which in turn affects employees’ work engagement, and how ESM policies moderate the relationship between communication visibility and perceived overload. Partial least squares (PLS) analysis was conducted on data gathered from 224 ESM users in workplaces.

Communication visibility has significant positive impacts on perceived overload, perceived overload has significant negative impacts on work engagement and ESM policies negatively moderate the relationships between communication visibility and perceived overload, except for the relationship between message transparency and social overload.

The findings provide new insights for organizational managers to formulate ESM policies to mitigate perceived overload and guidance for ESM developers to improve ESM functions to alleviate perceived overload.

This study provides empirical evidence to explain the role of communication visibility and perceived overload in employees’ work engagement, which contributes to the existing literature on the negative impacts of communication visibility.