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Business models (BMs) are becoming increasingly crucial for value creation in the healthcare sector. The study explores the conceptualization and application of BM concepts within the healthcare sector and investigates their evolution in emerging economies (EEs) and developed economies (DEs). This study aims to uncover these two contexts' shared characteristics and unique variances through a comparative analysis.

The paper systematically investigates and consolidates the literature on healthcare by employing the antecedents, decisions and outcomes (ADO) framework and finally examines 71 shortlisted articles published between 2003 and 2022.

The recognition of the BM within healthcare is increasing, both in EEs and DEs. EEs prioritize value creation and capture through cost efficiency, while DEs focus on innovation. Key theories employed include a resource-based view, the network theory and the theory of innovation. Case studies are commonly used as a methodology. Further research is needed to explore the decisions and outcomes of BMs.

The study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.

Beyond comparing and highlighting gaps in BMs between EEs and DEs, benchmarking DE's healthcare business models (HBMs) helps healthcare organizations in EEs align their practices, mitigate risks and establish efficient healthcare systems tailored to their specific contexts. The study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.

The study analyzes HBMs using an SLR framework perspective and provides practical implications for academicians and practitioners to enhance their decision-making.

The purpose of this study is to examine the underexplored link between entrepreneurship education (EE) and graduate employability in the higher education (HE) sector in the United Kingdom (UK).

The study draws on a thematic content analysis of semi-structured interviews with 45 professionals in UK HE, representing the “supply” side of EE.

The findings demonstrate a unidirectional link between EE and employability outcomes. This link is affected by societal, stakeholder-related, and teaching and learning-related factors.

Although the value of universities’ initiatives connecting EE and employability for economic development is emphasized, the study does not provide direct empirical evidence for this effect. Macroeconomic research is needed.

EE and employability would benefit from knowledge exchange between universities’ stakeholders and a broader understanding of what constitutes a valuable graduate outcome.

The study reveals the benefits of EE on a micro level. Participation in EE supports the connection between individual investments in HE and employability.

Based on human capital theory, many policymakers regard EE as a vehicle through which the relationship between investments in HE and career success on a micro level and economic growth on a macro level can be nurtured. Challenging this logic, the study highlights the potential of institutional theory to explain a contextualization of the link between EE and employability on a national level.

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.

Innovation management in the healthcare sector has undergone significant evolutions over the last decades. These evolutions have been investigated from a variety of perspectives: clusters, ecosystems of innovation, digital ecosystems and regional ecosystems, but the dynamics of networks have seldom been analyzed under the lenses of entrepreneurial ecosystems (EEs). As identified by Cao and Shi (2020), the literature is silent about the organization of resource allocation systems for network orchestration in EEs. This article investigates these elements in the healthcare sector. It discusses the strategic role played by entrepreneurial support organizations (ESOs) in resource allocation and elaborates on the distinction between sponsored and nonsponsored ESOs in EEs. ESOs are active in network orchestration. The literature explains that ESOs lift organizational, institutional and cultural barriers, and support entrepreneurs' access to cognitive and technological resources. However, allocation models are not yet discussed. Therefore, our research questions are as follows: What is the resource allocation model in healthcare-related EEs? What is the role played by sponsored and nonsponsored ESOs as regards resource allocation to support the emergence and development of EEs in the healthcare sector?

The article offers an explanatory, exploratory, and theory-building investigation. The research design offers an abductive research protocol and multi-level analysis of seven (sponsored and nonsponsored) ESOs active in French healthcare ecosystems. Field research elaborates on semi-structured interviews collected between 2016 and 2022.

This article shows explicit complementarities between top-down and bottom-up resource allocation approaches supported by ESOs in the healthcare sector. Despite explicit originalities in each approach, no network orchestration model prevails. Multi-polar coordination is the rule. Entrepreneurs' access to critical technological and cognitive resources is based on resource allocation modalities that differ for sponsored versus nonsponsored ESOs. Emerging from field research, this research also shows that sponsored and nonsponsored ESOs manage their roles in different ways because they confront original issues about organizational legitimacy.

Beyond the results listed above, the main originalities of the paper relate to the instantiation of multi-level analysis operated during field research and to the confrontation between sponsored versus nonsponsored ESOs in the domain of healthcare-related innovation management. This research shows that ESOs have practical relevance because they build original routes for resource allocation and network orchestration in EEs. Each ESO category (sponsored versus nonsponsored) provides original support for resource allocation. The ESO's legitimacy is inferred either from the sponsor or the services delivered to end-users. This research leads to propositions for future research and recommendations for practitioners: ESO managers, entrepreneurs, and policymakers.

Introduction: The growing body of research on employee engagement (EE) has resulted in a new human resource management paradigm. Human resource management researchers are investigating how EE can help with employee retention in higher education.

Purpose: The purpose of this chapter was to determine the quantity, growth trend, global distribution, top journals and authors, dominant countries, and dominant subject areas in EE in the higher education sector.

Methodology: The researcher employed a bibliometric analysis technique using VOS viewer software on one of the worldwide used databases, Scopus. Four combinations of the words were combined in this work using the logical operators TITLE-ABS-KEY (‘Employee engagement’ AND ‘Higher education’ OR ‘Higher educational institutions’ OR ‘universities’), thereby broadening the scope. This bibliometric analysis analysed 139 documents on EE scholarship.

Findings/Practical Implications: EE in higher education is still a developing phenomenon; this review aims to educate and inform contemporary researchers by providing an overview of the field’s current state.

The purpose of this study is to explore the strength and value-relevance of social capital in an entrepreneurial ecosystem. Entrepreneurial ecosystem (EE) provides a new perspective to explaining the configurations and interactions that shape entrepreneurial outcomes in regions. Research on the nature of interactions in EEs is still an ongoing debate. The authors draw from “organisational fields” studies to critically examine the interactions among actors in a non-transparent EE using the case of the Lagos region.

The methodology is based on a qualitative study of 40 semi-structured interviews with various ecosystem actors in the Lagos region, including financiers, government officials, universities, founders and venture capitalists. Additionally, data from the semi-structured interviews were triangulated with data obtained from a two-day focus group discussion Summit where Lagos’ EE issues were raised. This study analysed both data using thematic analysis.

This study suggests that in a non-transparent EE, four types of interactions are apparent: collaborative, stratified, clustered and unleveraged. Authors argue that in a non-transparent EE, there are blockages and distortions in the flow of resources to entrepreneurs and a higher proportion of entrepreneurs are unable to plug into the ecosystem to extract value for their businesses without a strong social capital.

The authors argue that entrepreneurs require deliberate effort to improve structural and relational social capital to plug into their ecosystem to extract value for their businesses.

The focus on interaction in a non-transparent EE is a novel approach to studying interactions within EEs. In addition, the study is an early attempt to explore entrepreneurial interactions within the Lagos region.

This study aims to answer two questions: do self-efficacy and outcome expectations serial mediate the effect of entrepreneurial education (EE) on the intention to start a business? and how can the social cognitive career theory explain entrepreneurial intention (EI)?

This study is based on the social cognitive career theory to examine the effect of EE on start-up intention via self-efficacy and outcome expectations by a serial mediation model. A sample of 1,232 students in Vietnam and the structural equal modelling method was used to test the hypotheses.

The results of this study reveal that entrepreneurial self-efficacy (ESE) significantly mediates the effect of EE on the intention to start a business. Similarly, entrepreneurial outcome expectations (EOEs) mediate the association between EE and EI. Especially, the results of serial mediation analysis show that ESE and EOEs serially mediate the EE–intention relationship.

Under a new perspective of social cognitive career theory, the current study is expected to contribute to clarifying the gap in the relationship between EE and EI. In addition, this study also contributes to investigating the antecedents of ESE and outcome expectations and providing empirical evidence supporting the relevance of social cognitive career theory in explaining EI.

Using the extant literature review, this paper aims to explore the relationship between gender, entrepreneurial education (EE) and entrepreneurial intention (EI) in the Indian context, which the authors believe is a novel approach to this research stream. The authors also use career preparedness as a control variable to examine this relationship.

Data were collected from 368 undergraduate students across four Indian universities (one exclusively for female students) through a standard structured questionnaire. Additionally, rather than examining, EI has been treated as a monolithic construct; however, the authors conceptualize it as comprising three different dimensions that include grand vision and risk-taking ability; opportunity exploitation; and ability to persevere. An additional analysis was conducted for the students who reported higher scores for “being well prepared for their careers” through their institutes’ academic programs and communities of entrepreneurs. The authors also interviewed some entrepreneurship instructors, who confirmed the present findings through their observations.

The findings indicate that, essentially, there is a positive relationship between EE and EI. The authors find that male students scored higher for the first two dimensions of EI but not the third. Additionally, the authors used career preparedness as a control variable for additional analysis. The authors observed that students with higher “career preparedness” reported a positive relationship between EE and EI, independent of gender, for all three dimensions of EI. Thus, it may be assumed that if a community of entrepreneurs needs to be developed in India, a focus on career preparedness is critical.

First, given that the present survey reflected a single moment in linking EE to EI (which may be considered a limitation of the study), future researchers might focus on a longitudinal approach. Second, all the respondents are attending urban universities (and, as such, very likely belong to the upper middle class of Indian society). The financial divide between urban and rural India is well known; as such, the results might be different if the sample was drawn from rural and poor India.

The salience/value of this study lies in the conceptualization of EI comprising three sub-constructs to understand the impact of formal EE (with three sub-constructs) on EI. The focus on career preparedness for a female student is a new direction of inquiry with respect to entrepreneurial intention.

In the organizational behaviour literature, psychological capital (psycap) has been identified as a significant variable affecting the engagement level of employees. Relying on this, this study aims to examine the association between psycap sub-constructs and employee engagement (EE) using systematic review and meta-analysis techniques.

The study analyzed 28 primary studies (selected through a systematic review of literature by incorporating inclusion and exclusion criteria) via meta-analysis techniques conducted using Meta-Essential Software (1.5). Along with this, the Cohen Kappa reliability test and the trim and fill technique have been applied, followed by moderator analysis.

The results of the study contribute to the extant literature in three ways. Firstly, the study confirms the positive association between psycap sub-constructs and EE. Secondly, it looks into the individual constructs of psycap and shows that hope is the primary component that influences EE, followed by optimism, efficacy and resilience. Thirdly, the country acts as a moderator between psycap and EE.

The study’s result highlights numerous implications, suggesting that organizations should focus on bringing out the latent “HERO” (hope, efficacy, resilience and optimism) qualities of their employees to make the workplace more engaging. Lastly, the study concludes by pointing out the limitations and highlighting future directions.

Being the first systematic review and meta-analytical study focusing on psycap sub-constructs and EE associations, this study contributes to the engagement literature.

Extending the springboard perspective with the resource dependence theory, the authors posit that cross-border mergers and acquisitions (M&As) are a new channel for emerging economy firms (EEFs) to enhance their technology capabilities. This study aims to examine the impact of cross-border M&As initiated by EEFs on their technology augmentation vis-à-vis matched domestic M&A cases and investigate the factors influencing the difference in post-merger innovation capability.

This paper estimates the post-acquisition innovation capability of acquirers from emerging economies (EEs) that engage in cross-border M&As. To remove possible selection bias, the authors leverage a difference-in-difference-style approach in combination with a matched sample constructed by pairing each cross-border M&A case with a similar domestic deal. The data set contains 266 cross-border M&As and 266 matched domestic M&A deals between 2003 and 2011, whereby acquirers are based in 6 EEs and targets are in 36 countries consisting of both EEs and advanced economies (AEs).

The present empirical results show that cross-border M&As engaged by EEFs are an important engine for improving EEFs’ innovation capability through technology augmentation. The main empirical results are as follows. First, compared with matched domestic acquirers with similar characteristics, EE cross-border M&As have a positive effect on innovation capability. Second, the positive effect of the EEFs’ cross-border M&As relative to the matched domestic M&As on innovation capability is driven largely by cross-border M&As with targets in AEs. Third, the increase in post-M&A innovation capability of the EE cross-border acquirers comes mainly from deals where targets are based in countries with relatively superior human capital and innovation capability than those of the acquirers.

To the best of the authors’ knowledge, this study is the first systematic study of whether cross-border M&As serve as an effective channel of technology augmentation for EE acquirers compared to matched domestic acquirers with similar characteristics.