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This study aims to explore the experiences of people with intellectual disabilities in Singapore receiving inpatient mental health treatment. To date, there has not been any research that examines the views and experiences of this population in Singapore. The research examines how the participants view their mental health problems and their experiences of the services they received.

A qualitative design was chosen to address the research question. Six adult men with intellectual disabilities were recruited from the tertiary hospital and interviewed. The transcripts of these interviews were analysed using interpretative phenomenological analysis.

Four super-ordinate themes were identified; awareness of mental health problems; yearn for a life outside the ward; interacting with other people and finding purpose.

The participants reported that they struggled with being segregated from their families and communities following an inpatient admission. They were able to report on the emotional difficulties that they experienced and hoped to find employment after their discharge from the hospital. They talked about reconstructing their self-identity and forming friendships to cope with their hospital stay. This research is one of its kind carried out in a non-western society and the findings are discussed in the light of how mental health professionals can best support people with intellectual disabilities during their inpatient treatment.

Despite the popularity of the entrepreneurial ecosystem (EE) concept, research on its value-adding activities receives less attention. Thus, in this article, the authors investigate the role of EEs in supporting global value chain (GVC) activities.

The authors employ the fuzzy-set qualitative comparative analysis (fsQCA) technique to identify practical configurations of EE’s framework and systemic conditions spurring GVC activities in 80 countries.

The findings suggest different configurations of EE`s framework and systemic conditions necessary for various GVC activities regarding input-output structure, geographical scope, upgrading, and forward and backward participation.

This study contributes to the extant literature by pioneering the EE approach to explaining GVC development. Moreover, the findings provide novel insights for understanding the EE – GVC interplay. As a result, the study offers a more nuanced understanding of how the EE supports GVC activities.

The entrepreneurial ecosystem (EE) literature is dominated by conceptual studies with insufficient theoretical foundations and empirical evidence on the micro-level. This study aims to explore the largely overlooked question of what the drivers that motivate small and medium-sized enterprises (SMEs) to participate in an ecosystem are.

The study adopts a qualitative exploratory approach. The empirical data consists of 19 semi-structured interviews with top management of SMEs in the health tech ecosystem in Finland. The data were analyzed using a thematic content analysis.

This study reveals a typology of drivers that motivate SMEs to participate in an ecosystem. These include social drivers (networking and cooperation and communication and knowledge sharing), resource drivers (access to resources, formal and informal support and market access) and cognitive drivers (shared goals and common values).

The study contributes to the EE research by highlighting the drivers that motivate health tech SMEs to become members of the local ecosystem. It suggests that managers and entrepreneurs need to be aware of the factors related to social, resource and cognitive drivers to ensure the future success of their business.

The study draws evidence from a micro-level perspective which enriches the understanding of the EE phenomenon. It also explores an increasingly relevant but under-researched field, the health tech ecosystem.

This study examines the mediation effects of entrepreneurial attitudes (EAs) on the nexus of the entrepreneurial ecosystem (EE) quality and productive entrepreneurship for early-stage and high-growth entrepreneurial activities.

The study employs global entrepreneurship monitor (GEM) panel data of 137 economies from 2014 to 2018. Random effect panel regressions and relative effect size estimations were used for data analysis.

The study’s findings show complementary mediation effects suggesting that EE quality steers entrepreneurial activities via the EA. However, such mediation is much more vivid towards high growth than early-stage activities. Vibrant EEs provide necessary resources that boost the attitude of potential and nascent entrepreneurs to engage in early stage and high-growth entrepreneurial activities.

The study utilizes GEM data to explain the EEs and EA dynamics and their related effects on entrepreneurship at the macro level. Future research may study the phenomena by using micro level data.

The paper explores a less empirically researched question on how EEs steer entrepreneurship growth and development. It reveals a need for new perspectives/logics (e.g. mediation/moderation) for improving the explanations on the extant EEs framework. It further informs policymakers and practitioners to design entrepreneur-centred EE policies and programs.

Prior research has extensively explored the dynamics of knowledge creation and transfer within entrepreneurial ecosystems (EEs). However, the research on knowledge integration within EEs, particularly by entrepreneurs, remains scant. Garnering and effectively using knowledge in such a dynamic and complex environment can provide entrepreneurs with a valuable asset for gaining a competitive advantage. To address this gap, this study aims to explore how entrepreneurs garner and capitalise on knowledge within the EE environment by using a transactive memory system lens.

This study is based on 26 semi-structured interviews with different actors and members of the same ecosystem – the northern Finnish health tech ecosystem. The data were analysed using the Gioia methodology.

This study results found that transactive memory processes (i.e. knowledge specialisation, credibility and coordination) and structures (i.e. differentiated-, shared- and meta-knowledge) influence knowledge organising in EEs.

This study provides a conceptual interplay between the EE and the transactive memory system’s processes and structures.

New ventures often encounter legitimation challenges due to their liability of newness and foreignness. This particularly applies to the legitimacy beyond the local entrepreneurial ecosystem (EE). The present study examines how new ventures’ local legitimacy influences legitimacy diffusion beyond the local EEs. It considers both the direct relationship between new venture local legitimacy and its diffusion beyond the EE and the moderating effects of legitimacy brokerage and network activities on this relationship.

A hierarchical multiple linear regression is employed to test a series of hypotheses using the data of 228 Finnish firms which was collected with an online survey.

Firms that garner active local legitimacy have a greater chance to diffuse that legitimacy beyond an existing ecosystem. Results also reveal that network activities and legitimacy brokerage enhance (positively moderate) the association between (passive and active) local legitimacy and its diffusion.

The present study contributes to and extends the literature at the intersection of new venture legitimacy and legitimacy diffusion beyond the existing EE – an aspect which has not been sufficiently studied.

Drawing on entrepreneurship as a social process, the purpose of this paper is to proposes a model of entrepreneurial learning where contextual social and economic structures gain relevance through experiential learning. Concrete experience underpins the emotions, values and interests that support the cognitive and conative processes required to develop an entrepreneurial mind-set. Empirical study undertaken in Kenya and Tanzania explores perceptions of entrepreneurship education (EE) and identify approaches to a social perspective of entrepreneurial learning that is applicable.

The study uses a multi-phase approach consisting of desk research, semi-structured interview and a participatory workshop. Entrepreneurship programmes in 18 universities are benchmarked against accepted standards and 68 participants are purposively selected within key stakeholders for the semi-structured interviews and participatory workshop.

The findings indicate that entrepreneurship as a value creation process is a shared assertion but the social context informs a construct of learning outcomes, and specifically what characterises an entrepreneur. Entrepreneurial learning is multi-layered and its provision necessitates an engagement with the social context in order to gain relevance for the learners. The learning content should enable learners to develop an understanding of the world alongside knowledge of entrepreneurship. Learning tools should be flexible and action-based, to achieve learning for entrepreneurship as opposed to learning about the phenomenon of entrepreneurship. Ultimately, the value creation process can only happen when learning supports the individual and collective capabilities to transform the social context. Particularly in Kenya and Tanzania, meeting job creation and growth aspirations will require the providers such as universities to work closely with businesses of all sizes, including the informal sector, and the use of innovative learning techniques such as local languages where applicable. These findings have policy and practice implications for HEIs and policy-makers in curriculum design and inclusive learning methods.

The study comes short on entrepreneurial orientation and its impact on learning outcomes. Further investigation could establish if necessity entrepreneurs differ from opportunity entrepreneurs in the way they learn, so that national policy and curriculum can respond accordingly. With high levels of unemployment in countries such as Kenya and Tanzania, entrepreneurship often presents the only choice for employment or a paid job.

The study findings indicate the need for educators to develop learning approaches that are informed by the contextual realities of the learners. Policy-makers should also foster the development of curriculum informed by contextual realities, so that learners can make sense of their entrepreneurial world.

Through the adoption of action learning as essential for the process of creation and transformation, the study makes the case for individual motivations in exploring the realities of the local context.

The study contributes to a deeper understanding of EE from a social context, and proposes a model of entrepreneurial learning which could benefit learners and the community. The informal sector is brought to light as a significant actor in entrepreneurial learning and a considerable source of new knowledge.

Serious games are playing an increasingly significant role across a range of educational contexts. Business focused serious games can provide students with an authentic learning experience and their use has been increasingly taken up by business school faculty, including those delivering entrepreneurship education (EE). The purpose of this paper is to evaluate the impact of participation in a serious business game on the entrepreneurial intent (EI) of undergraduate students.

The study adopts a pre-test/post-test quasi-experimental design. It employs a modified version of Linan et al.’s (2011) EI model in the form of a questionnaire survey completed by 263 undergraduate business and management students.

A logic regression model was used to analyse the survey responses. The research findings indicate that the serious game used in this study has a significant negative impact on EI. Gender and role model effects are also identified from the analysis.

The paper contributes to the literature in two ways. First, it demonstrates the impact of serious business games on EI during the enterprise awareness stage of a student’s EE. Second, it provides a foundation for exploring the role that serious games can play in educating the potential entrepreneurs of the future.

The purpose of this paper is to investigate the factors influencing the behavioral intention to adopt payments banks services by Indian underbanked and unbanked population.

The proposed model has assimilated factors from the Unified Theory of Acceptance and Use of Technology (UTAUT) along with perceived credibility. The factors of UTAUT include performance expectancy, effort expectancy, facilitation of conditions and social influence. Apart from testing the direct relationships of the model constructs with the behavioral intention to adopt payments banks services, the study has also explored mediating and moderating effects of certain constructs. The research model has been empirically tested using 660 responses from a field survey conducted in New Delhi – the capital city of India – by using the structured equation modeling (SEM) technique. The target respondents of the study are small businessmen and migrant laborers who are either underbanked or unbanked.

The findings of the study reveal that the model is able to explain 67.5 per cent of the variance in behavioral intention. The results indicate that all the factors are direct determinants of behavioral intention. Perceived credibility is found to be the strongest influencer of behavioral intention. The findings also indicate that perceived credibility partially mediates the relationships between “social influence and behavioral intention” and “performance expectancy and behavioral intention.” The relationship between performance expectancy and behavioral intention is also found to be moderated by facilitating conditions and effort expectancy.

As this study is based on a convenience sample of respondents of only one city of India, this could negatively reflect on the generalizability of results across other cities. Moreover, the study has only focused on the perceptions of small businessmen and migrant laborers. This raises concerns regarding the applicability of the results for other segments of the current population that have different demographic characteristics (e.g. occupation, income, education level and technology experience). Modifying the conceptual model presented in this research to include “experience” and “age” as moderators can also be worth considering in future. Although this study has extended the UTAUT to include perceived credibility, the results of the explanatory power of the model indicate that there is still room for improvement. Therefore, including other constructs, e.g. hedonic motivation, perceived risks and trialability, could be a fruitful path forward. Future studies may also examine the factors influencing the actual use behavior of payments banks, rather than just behavioral intention.

The study looks forward to providing the payments banks service providers in India with suitable guidelines for effectively implementing and designing payments banks services. Specifically, the results of this study have provided clues for Indian payments banks service providers about the crucial role of perceived credibility in influencing the behavioral intention to adopt payments banks. Therefore, service providers have to initially be sure that payments banks are able to conduct financial transactions efficiently, securely and within less time, along with the availability of information required by customers to successfully use the services. Service providers should enhance customer confidence and trust by providing secure and reliable services. They should also emphasize on the positive safety measures of the payments banks during any marketing campaign rather than just creating brand awareness.

The study represents a substantial contribution to the existing knowledge regarding mobile payment channels in particular and technology acceptance area in general. In fact, this study presents a worthwhile direction by examining payments banks services, which, so far, have not been well evaluated in the Indian context. To the best of the authors’ knowledge, this is an early attempt toward a holistic and integrative approach to explain adoption of payments banks in India. Although prior studies have addressed mobile banking and mobile payment adoption, the strength of this research lies in combining the UTAUT constructs with perceived credibility. This is evidenced by the high explanatory power (67.5 per cent) of the research model adopted in this study.

This article aims to compare smart meters' acceptance studies worldwide to consolidate trends and highlight factors that are not a consensus.

This work performs a statistical meta-analysis, using the Hunter–Schmidt method and the UTAUT2 model, of the factors of acceptance of smart meters in the world literature. A meta-regression was also conducted to verify the moderation exercised by gender, level of education and timeline context of the articles.

The main results point to hedonic motivation, performance expectancy and effort expectancy as the leading influencers for smart meter's acceptance. Meta-regression indicates that the influence is more significant among the male gender and that over the years, the social influence must gain weight in the smart meter's acceptance.

Specific strategies are suggested to improve projects for the implementation of smart meters based on the obtained results.

The contribution given by this work is relevant, considering it is the first meta-analysis focused on smart meters' acceptance published in the literature