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The purpose of this paper is to answer the research question: “Do different pedagogies used in teaching entrepreneurship education influence individual skill development, which then in turn translates into a likelihood of entrepreneurial implementation intention?”

The number of total participants for the quasi-experiment was 308 undergraduate students in Malaysia, in which pre- and post-test (n=203) and control (n=105) groups are included. Students who enroled in the entrepreneurship course were randomly allocated into a class employing teacher-centred pedagogy or student-centred pedagogy. Learning outcomes are measured by objective and subjective measures.

Both pedagogical approaches had a positive effect on the development of the learning outcomes. However, the students who learned using the teacher-centred approach statistically developed a higher level of objective and subjective learning outcomes compared to the students who learned using the student-centred approach. The findings also suggest that the relationship between entrepreneurship education and entrepreneurial intention mediates by learned skills.

The quasi-experimental design greatly improves the ability to make accurate claims about the impact of entrepreneurial education on entrepreneurship-related outcomes. Further, the study uses the implementation intention strategy in measuring the entrepreneurial intention. Thus, the study strongly supports for the view that implementation intention improves predictive validity of the behavioural intention within the framework of theory of planned behaviour by setting out in advance when, where, and how the goal will be achieved.

Local Chambers of Commerce networks provide small- and medium-sized enterprises (SMEs) with an opportunity to access essential information and networking with other businesses, resulting in improved business performance. However, rural SMEs are less likely to participate in these networks and often possess lower performance. This paper aims to examine the relationship between being members of local Chambers of Commerce networks and rural SMEs’ performance by comparing business performance between rural SMEs who are members and non-members of local Chambers of Commerce networks. This paper also further explores difference in business growth plans between rural SMEs members and non-members.

The empirical analysis draws on cross-sectional data of 3,769 rural SMEs in England and Wales from the UK's Government Longitudinal Small Business Survey 2015. Propensity score matching (PSM) is applied to control for selection bias and variations in business characteristics before comparing business performance, measured in terms of annual turnover, sale growth and profitability, between rural SMEs that are members and non-members of local Chambers of Commerce networks.

Our results show that rural SME members of local Chambers of Commerce networks are more likely to grow their sales than non-members. However, they perform as good as non-members in terms of turnover and profitability. The results also emphasise that local Chambers of Commerce networks are crucial for rural SMEs to develop the skills of the workforce and leadership capability of managers, new product/service development and new working practices. Therefore, to enhance rural SMEs' performance, tailoring the services of local Chambers of Commerce to support rural businesses' needs and encouraging rural SMEs to make use of business networks are recommended.

The paper unpacks the relationships between being local Chamber of Commerce membership and business performance, offering lessons for rural SMEs to boost their business performance and growth through participating in local business association networks.

This paper is the first study that explores the comparative analysis of business performance and growth plans between rural SMEs that are members and non-members of the local Chamber of Commerce networks. We provide an empirical evidence-based analysis to existing literature regarding the advantages of being local Chamber of Commerce memberships to enhance business performance in rural areas.

This paper aims to examine the relationship between being members of social media business networks and SME performance by comparing business performance between family-owned SMEs that are members and non-members of social media business networks.

The analysis empirically draws on cross-sectional data of 9,292 English and Welsh family-owned SMEs from the UK's Government Small Business Survey 2015. Propensity Score Matching (PSM) is applied to control for selection bias and differences in firm characteristics before comparing business performance, measured in terms of annual turnover, sales-growth intention and innovation between family-owned SMEs that are members and non-members of social media business networks.

The findings show that family-owned SMEs that are members of social media business networks are more likely to have higher prior turnover and to grow their sales than non-members. Also, they are more likely to report being innovative in products and processes than non-members. The empirical results acknowledge the importance of online business networks and digital social capital on enhanced family-owned business performance.

This paper is the first to explore the comparative analysis of business performance between family-owned SMEs that are members and non-members of social media business networks. This paper is important for the development of family business research by providing a comprehensive evidence-based analysis regarding the importance of online business networks to improve family-owned business performance, given the significant contribution of digital business activities to the UK economy.

The purpose of this paper is to examine the extent to which the perception of crowding by medical staff and patients impacts patients’ perceived service quality (SQ), overall satisfaction and emotional well-being.

Data were collected from 258 matched pairs of medical staff members and their patients at six public hospitals.

Medical staff-perceived crowding negatively influences patients’ perceived SQ. The perceived SQ then impacts patients’ overall satisfaction and emotional well-being. Patients’ perceived crowding does not significantly impact their perceived SQ but increases the positive emotional well-being of patients.

Scant research has investigated a matched pair of service providers and their customers. This study concentrates on how individuals’ perceived human crowding and medical staff SQ affect consumers’ emotional well-being. This research leads to the formulation of theoretical and public policy suggestions to improve the quality of interactive services with minimal cost and disruption.

This perspective article addresses the essential need to comprehend what artificial intelligence (AI) entails and how it can revolutionize the family business sector.

This article presents a literature review and the authors' perspectives to unravel the potential benefits of AI in family businesses.

It is crucial to understand what AI is and its various types before the authors can discern which AI tools can be beneficial or tailored to family businesses. A promising area for future research is the use of Theory of Mind AI, which can help minimize conflicts of interest among family business members and assist in clear decision-making and succession planning. However, integrating AI brings about ethical implications, such as data privacy concerns, the need for transparency in AI decision-making and the necessity to ensure fair AI practices. These are all critical issues that the future research will need to tackle.

This article emphasizes the potential of AI to be customized and incorporated to tackle the distinct dynamics, obstacles and opportunities prevalent in family-owned businesses. It also proposes future research areas that could enhance the application of AI in such enterprises.

The focus of this study is on how online-only retailers, known as pure-play e-retailers, leverage e-commerce platforms to identify and pursue market opportunities. Through the perspective of entrepreneurial marketing, this study aims to explore the influence of e-commerce technologies on the decision-making process of entrepreneurial marketing. This exploration is conducted via a case study of pure-play e-retailers based in China.

This study utilised a qualitative case study methodology to examine the complex processes of entrepreneurial marketing in an online environment. The study gathered detailed insights from both owner-managers and staff members of eight pure-play e-retail businesses. Additionally, the research involved a careful review of the firms' webpages and social media pages. This holistic approach facilitated a comprehensive understanding of their marketing strategies and practices.

The case study findings indicate that while many core aspects of entrepreneurial marketing remain important, there are distinct factors influencing the entrepreneurial marketing decision-making in the online marketplace. The online EM framework can be visualised as follows: (1) trend-orientated as well as innovative-orientated (2) data-orientated and entrepreneur-orientated (3) innovative-driven customer stimulation (4) orientated towards both platforms and proactiveness.

The paper provides an initial understanding of how digitalisation is enabling and transforming entrepreneurship in companies with high level digitalisation but low level digital development. Building on current entrepreneurial marketing literature, this paper develops an online entrepreneurial marketing framework to enhance understanding of the interaction between e-commerce technology and entrepreneurial marketing decision making.

Business literature reveals the importance of generating innovative products and services, but much of the innovation research has been conducted in large firms and not replicated in small firms. These firms are likely to have different perspectives on innovation, which means that they will probably behave differently to large firms. Our study aims to unpack how firms in Spatial Information perceive and engage in innovation as a part of their business operation.

To investigate these questions we conduct 20 in-depth interviews of top management team members in Spatial Information firms in Australia.

We find that small firms define innovation very broadly and measure innovation by its effect on productivity or market success. Innovation is seen as crucial to survival and success in a competitive environment. Most firms engage in product and/or service innovations, while some also mentioned marketing, process and organisational innovations. Most innovations were more exploitative rather than exploratory with only a few being radical innovations. Innovation barriers include time and money constraints, corporate culture and Government tendering practices. Our study sheds a light on our understanding of innovation in an under-researched sector; that is Spatial Information industry.

The purpose of this paper is to examine the possibility of an inverted U‐shaped relationship between job demands and work engagement, and whether social support moderates this relationship.

This study uses 307 technical and information technology (IT) managers who responded to an online survey. Multiple regressions are employed to examine linear and curvilinear relationship among variables.

Overall, results support the applicability of the quadratic effect of job demands on employee engagement. However, only supervisor support, not colleague support, moderated the relationship between job demands and work engagement.

The paper is the first to shed light on the quadratic effect of job demands on work engagement. The findings have noteworthy implications for managers to design optimal job demands that increase employee engagement.

The purpose of this paper is to answer two research questions which are “What are key factors which influence Chinese to adopt mobile technology?” and “Do these key factors differ from factors which are identified from western context?”.

The findings from a pilot study with 45 in-depth interviews are used to develop questionnaires and test across 800 residents from the three research cities. The data were analyzed by structural equation modeling together with multi-group analysis.

The data suggest eight important concepts, i.e. utilitarian expectation, hedonic expectation, status gains, status loss avoidance, normative influence, external influence, cost, and quality concern, are influential factors affecting users’ intentions to adopt 3G mobile technology. Differences are found between the samples in the three research cities in the effect of hedonic expectation, status gains, status loss avoidance, and normative influence on mobile technology adoption intention.

As the stability of intentions may change over time, only measuring intentions might be inadequate in predicting actual adoption behaviors. However, the focus on potential users is thought to be appropriate, given that the development of 3G is still in its infancy in China.

Previous research into information technology adoption among Chinese users has not paid attention to regional diversity. Some research considered China as a large single market and some was conducted in only one province or one city. Culturally, China is a heterogeneous country.

E‐learning is an organizationally risky investment given the cost and poor levels of adoption by users. In order to gain a better understanding of this problem, the aim of this paper is to conduct a study into the use of e‐learning in a rail organization.

Using an online survey, employees of a rail‐sector organization were questioned about their use and likelihood of adoption of e‐learning. This study explores the factors that affect the way in which learners experience and perceive such systems. Using statistical analysis, 12 hypotheses are tested and explored. Relationships between learning satisfaction, intention to adopt, and the characteristics of e‐learning systems were established.

The study found that e‐learning characteristics can buffer the relationship between learner characteristics and intention to adopt further e‐learning in the future. Further, the paper found that high levels of support can compensate individuals who are low in technological efficacy to adopt e‐learning.

The cross‐sectional design of the study and its focus on measuring intention to adopt as opposed to actual adoption are both limitations. Future research using longitudinal design and research employing a time lag design measuring actual adoption as well as intention are recommended.

From a practical perspective, organizations can focus on the actual content and authenticity of the learning experience delivered by the e‐learning system to significantly impact how employees will perceive and use e‐learning in the future. Low technological efficacy individuals tend not to adopt new technology. Instead of changing individuals’ personalities, organizations can implement supportive policies and practices which would lead to higher e‐learning adoption rate among low efficacy individuals.

The study integrates technology adoption and learning literatures in developing enablers for e‐learning in organizations. Further, this study collects data from rail employees, and therefore the findings are practical to an industry.