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The concept of an innovation ecosystem, based on the idea of business ecosystem, has increasingly grown in the literature on strategy, innovation, and entrepreneurship. However, not all innovation ecosystems have the same architectural models or internal collaboration, and existing research rarely deconstructs an ecosystem of innovation and examines its structure. The objective of this article is to systematize the discussion about the structure of an innovation ecosystem and offer a foundation for future research.

Using the Web of Science database as the source for the articles, this paper presents a systematic review of the literature on the structure of the innovation ecosystems. The period of analysis spanned from January 1993 to August 2019. Two methods, bibliometric analysis and content analysis, were used to structure the systematic review.

The results of the content analysis showed that the main classifications related to the structure of an innovation ecosystem are the ecosystem life cycle (birth, expansion, leadership, and self-renewal), the classification according to the ecosystem level (macroscopic, medium, and microscopic), and the layered structure (core–periphery structure, triple-layer structure, triple-layer core–periphery structure, and framework 6C). The results also showed that studies in the field are concentrated around a small group of authors, and few studies have discussed the structure of an ecosystem.

This study includes only peer-reviewed articles from the Web of Science database.

This article contributes to innovation ecosystem theory by exploring the characteristics that influence ecosystem structure. In addition to the theoretical contribution, the triple-layer core–periphery framework and the 6C framework set a benchmark for future research on innovation ecosystems.

The purpose of this paper is to apply an analysis of complex networks to empirically research international agricultural commodity trade and countries’ trading relations. The structure of global agricultural commodity trade is quantitatively described and analysed.

Based on statistical physics and graph theory, the research paradigm of a complex network, which has sprung up in the last decade, provides us with new global perspective to discuss the topic of international trade, especially agricultural commodity trade. In this paper, the authors engage in the issue of countries’ positions in international agricultural commodity trade using the latest complex network theories. The authors at first time introduce the improved bootstrap percolation to simulate cascading influences following the breaking down of bilateral agricultural commodity trade relations.

On a mid-level structure, countries are classified into three communities that reflect the structure of the “core/periphery” using the weighted extremal optimisation algorithm and the coarse graining process. On a micro-level, countries’ rankings are provided with the aid of network’s node centralities, which presents world agricultural commodity trade as a closed, imbalanced, diversified and multi-polar development.

The authors at first time introduce the improved bootstrap percolation to simulate cascading influences following the breaking down of bilateral agricultural commodity trade relations.

The purpose of this paper is to investigate the impact of the different drivers of the establishment of innovation relationships in an aerospace cluster. In particular, the work investigates the impact of the various forms of proximity in the formation of inter-organisational collaborations for innovation.

The analysis is based on primary data collected through interviews and questionnaires on innovation collaborations, administered to all the firms operating in the aerospace cluster in Tuscany. The work applies social network analysis and Exponential Random Graph Models to analyse the forces that drive inter-organisational collaborations for innovation.

Results confirm the importance of geographical proximity in the formation of ties in the cluster, but social proximity is one of the main drivers for tie formation. Reciprocity shows that companies develop innovations in a reciprocal way and that most relationships are bidirectional. Triadic closure is also relevant, where the role played by trust and previous relationships is evident. Finally, hierarchy network processes are underlined, where the most central actors of the network are the most popular confirming a processes of preferential attachment. The central organisations gradually are more important, whereas the marginal ones are left in the periphery.

The work presents some novelties. First, it measures the different impacts of the various forms of proximity together with more advanced measures of network analysis. It allows pointing out the relevance of a firm’s network position in clusters and the fact that clusters assume hierarchical structures similar to centre-periphery networks, where most relevant nodes are in the inner core and marginal organisations are relegated.

Prefabricated construction (PC) can benefit construction industry due to its high efficiency, energy saving, consumption reduction and safety. However, the high capital cost is a critical challenge hindering its development in China. The collaboration of PC stakeholders is conducive to improving cost management efficiency and optimizing resource allocation which has been ignored in previous studies. Therefore, this study aims to explore the collaboration paths of stakeholders in the process of solving critical cost influencing factors (CIFs) of PC to reduce costs.

Firstly, 25 CIFs and five main stakeholders that affect PC capital cost were identified through literature research and expert interviews. Then, questionnaires were used to investigate the relationship between stakeholders and CIFs from the perspectives of three stakeholder attributes of proximity, attitude and power, respectively. Finally, based on the survey data, three stakeholder-CIF networks from three attributes perspective and a comprehensive network were constructed and used for subsequent social network analysis.

(1) Stakeholders mainly show willingness and potential to collaborate on organization and management factors; (2) More stakeholders pay attention to incentive policies and the setting of prefabrication rates and assembly rates, while all stakeholders have the right to facilitate information and resource sharing in the PC supply chain; (3) The comprehensive network shows a core-periphery structure. As core stakeholders, contractor, designer and manufacturer are more likely to actively manage the 14 core CIFs.

This paper innovatively combined stakeholder and cost management in PC, and used two-mode network based on three stakeholder perspectives to reveal the collaboration potential and motivation of stakeholders in PC cost management. The findings not only provide guidance for stakeholders to find potential partners and optimize resource allocation in solving specific cost issues, but also facilitate stakeholders' sustainable collaboration to achieve PC's cost performance.

The purpose of this paper is to explore consumers’ understanding of autonomous driving by comparing perceptions of occasional drivers (ODs) and frequent drivers (FDs).

Data were gathered through semi-structured interviews with 41 drivers. Their responses were categorized into thematic categories or topics on the basis of content analysis, and the topics were structured based on the core-periphery model. Finally, the authors visualized the structure on a perceptual map by adopting a maximum tree approach.

Respondents’ understanding of autonomous driving were categorized into 10 topics. There were significant differences in topics and their relationships between ODs and FDs. Findings also show that FD can better detect hazardousness from autonomous driving environments than ODs.

Differently from prior studies’ focus on its technological aspect and some derived benefits, the study examines it from the viewpoint of consumers, who are critical participants in the dissemination of autonomous driving.

The findings suggest that rather than focusing on developing the highest level of autonomous cars, developing in an evolutionary way by adding automated functions to existing cars can be the better strategy to dominate the autonomous vehicle market.

This study is a pioneering work in that it can be an initial empirical work on autonomous driving from the customer standpoint.

Secondary school leadership provides multiple challenges in terms of the diversity of tasks, multiple demands on time, balancing communities and attending to instructional programming. An emerging scholarship suggests the importance of a distributed instructional leadership approach to high school leadership. However, what has been less thoroughly explored is how secondary school leadership is distributed leaders across a school district. The purpose of this paper is to investigate the social structure and positions urban high school principals occupy in the district system.

This study was conducted in one urban fringe public school district in southern California serving diverse students populations. The data were collected at three time points starting in Fall 2012 and ending in Fall 2014 from a district-wide leadership team including all central office and site leaders. All leaders were asked to assess their social relations and perception of innovative climate. The data were analyzed through a series of social network indices to examine the structure and positions of high school principals.

Results indicate that over time high school principals have decreasing access to social capital and are typically occupying peripheral positions in the social network. The high school principals’ perception of innovative climate across the district decreases over time.

This longitudinal study, one of the first to examine high school principals from a network perspective, sheds new light on the social infrastructure of urban high school principals and what this might mean for efforts at improvement.

Despite carbon reduction commitments, many constraints hinder the delivery of low-carbon buildings (LCBs) in high-rise high-density cities. The collaborative commitment of relevant stakeholders is vital to effectively address and mitigate these constraints. Hence, this study aims to comprehensively explore the required stakeholder collaboration attributes to address and mitigate the “common” constraints of delivering LCBs by focussing on several high-rise high-density cities.

A list of 21 “significant and common” constraints was identified through a systematic literature review followed by a questionnaire survey covering five economies (Hong Kong, Singapore, Australia, Qatar and the UAE). Nineteen influential stakeholders/stakeholder categories were identified through the literature, and their ability to influence the 21 constraints was mapped and identified through a two-round Delphi survey of 15 experienced professionals. The Delphi survey findings were analysed through social network analysis (SNA) methods to assess the stakeholder engagement and collaboration attributes.

The SNA results revealed the ability of stakeholders to influence the constraints, required collaborative stakeholder networks to address the constraints, significance of stakeholders according to the SNA centrality measures, core and periphery stakeholders and individual co-affiliation networks of core stakeholders.

While achieving the planned primary target of exploring stakeholder collaboration and their significance through SNA, this study also presents a useful sequential methodological approach for future researchers to conduct similar studies in different contexts. The findings also provide a foundation for accelerating the delivery of LCBs by strengthening stakeholder collaboration.

This paper aims to explore the contextual role of social-cultural capital in youth entrepreneurship between Malaysia and Lao PDR/Laos, comparing two different entrepreneurial ecosystems designed to identify emergent factors that stimulate and/or stifle the genesis of youth entrepreneurship while identifying similar and divergent entrepreneurial identities and traits among young people from these two sovereign contexts.

Utilizing qualitative-based case study design approach, data collections were garnered from 30 informants through in-depth personal interviews, focus group studies coupled with personal observation conducted via purposive cum snowball sampling.

Thematic analysis reveals a pattern-based outcome that discloses a variety of inter-related factors within the social network ecosystem that stimulate and sometimes stifle youth entrepreneurship, primarily through the active agency of social-cultural capital.

Entrepreneurial ecosystem contextual differences between Malaysia and Laos demonstrate the unifying factor of social-cultural capital through social network in stimulating youth entrepreneurship and unveiling practical similarities and differences that can be used to promote youth entrepreneurial endeavors among varying sovereign socio-economic contexts in ASEAN (Association of Southeast Asian Countries).

This study specifically focuses on the unambiguous contextual differences of two sovereign entrepreneurship ecosystems. Contextual differences may not necessarily demarcate further the gulf of differences within and between two sovereign entrepreneurship ecosystems but, on the contrary, may close the gap through the dynamic role of social-cultural capital via social network ties in youth entrepreneurship.

Successive reorganization of production of work in the French car industry has led to a particular productive matrix. This productive matrix is very effective and has made gains of between 5 and 12% per year possible. The components of the matrix are tight flow, teamwork and competencies model and integration of production in the outspread firm. The matrix can be understood as a subsection of the post-Fordist model of capital accumulation. The question is put whether this matrix can overcome the contradictions between workers and employers and keep the French car manufacturers in profit over the long term.

This research investigates how the value creation interests and activities of different stakeholder groups within one open source software (OSS) project influence the project's development over time.

The authors conducted a case study of OpenSimulator using textual and thematic analyses of the initial four years of OpenSimulator developer mailing list to identify each stakeholder group and guide our analysis of their interests and value creation activities over time.

The analysis revealed that while each stakeholder group was active within the OSS project's development, the different groups possessed complementary interests that enabled the project to evolve. In the formative period, entrepreneurs were interested in the software's strategic direction in the market, academics and SMEs in software functionality and large firms and hobbyists in software testing. Each group retained its primary interest in the maturing period with academics and SMEs separating into server- and client-side usability. The analysis shed light on how the different stakeholder groups overcame tensions amongst themselves and took specific actions to sustain the project.

The authors extend stakeholder theory by reconceptualizing the focal organization and its stakeholders for OSS projects. To date, OSS research has primarily focused on examining one project relative to its marketplace. Using stakeholder theory, we identified stakeholder groups within a single OSS project to demonstrate their distinct interests and how these interests influence their value creation activities over time. Collectively, these interests enable the project's long-term development.