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The purpose of this study is to examine the mediating role of novelty ecosystem in the relationship between prior knowledge and social entrepreneurial venture creation (SEVC) among community-based organizations (CBOs) in Uganda.

The study is cross sectional and quantitative. Data were collected from CBO owner-managers. Mean, standard deviations, correlations and structural equation modeling were conducted to check the relationships among variables.

Results show that both prior knowledge and novelty ecosystem are significantly associated with SEVC. Results further indicate that novelty ecosystem partially mediates the relationship between prior knowledge and SEVC.

The design was cross sectional in nature, thus limiting monitoring changes in knowledge and its effect on SEVC. The results should be interpreted as they are because there could be some endogeneity biases, which were not detected like measurement errors and failure to identify appropriate instruments.

This study provides an initial empirical evidence on the relationship between prior knowledge, novelty ecosystem and SEVC using evidence from a developing African country – Uganda. Mostly, this provides an initial evidence of the mediation role of novelty ecosystem in the relationship between prior knowledge and SEVC.

The purpose of this paper is to contribute to the interdisciplinary debate promoted by service research community by establishing the conceptual frame within which different perspectives addressing systemic and multifaceted approaches to innovation are framed. Growing research interest in innovation has led to different definitions, which are referred to here as “innovation system(s)”, “innovation network(s)” and “innovation ecosystem(s)”. The paper examines the theoretical foundations, outcomes, and patterns of contributions to which each innovation perspectives is tied and proposed a subject and the framework allowing an exploration of an interdisciplinary dialogue between the different research positions.

A literature review was conducted to discern differences in concepts and their meanings. An overview obtained using Web of Knowledge leads to a focus on studies, followed by a content analysis using NVivo, which enables identification of key concepts and their definitions. By highlighting relationships among terms, the paper establishes a framework of the ontological assumptions of different innovation discourses and explores their contribution to the interdisciplinary dialogue promoted by service research perspective on innovation.

A comparison among the three innovation perspectives leads us to focus on innovation itself, alongside context, actors, enablers, and governance, which are useful to mark the commonalities and differences among the three research approaches. The framework is helpful to break down the fragmented and sometimes overlapping points of view of innovation and provides a more integrative stance from which to address the emergence of the service ecosystems approach on innovation.

The investigation focuses on three innovation perspectives and on top-cited articles alone; hence, it can be complemented with a full analysis through a bibliometric approach to test whether the features highlighted are linked to other elements. Moreover, the different approaches grouped on “innovation ecosystems” perspective suggest the possibility to enhance service ecosystems discourse on innovation by looking at different knowledge and contributions that are rapidly growing in this area.

The central idea this work puts forward is that after some decades of separation, there is a need to move towards an increasing convergence of economics, business and service based on the milestones of innovation systems, innovation networks, and innovation ecosystems thoughts.

This research sheds light on the different ways innovation, in multi-actor and the interconnected setting, is theoretically framed and described. By capturing established thinking in different innovation perspectives, the paper provides an integrated framework to making sense of the full picture of economies and societies seen as complex networks and systems of service systems.

The purpose of this paper is to examine, explain, predict and guide the processes, mechanisms and outcomes of intrapreneurial behaviour to provide evidence that novelty ecosystems mediate the relationships between generative influence, positive deviance and intrapreneurial behaviour. It also enlightens the capacity of replicating the intrapreneurial best practices.

The study uses an integrated approach of entrepreneurship and complexity theories. Its subjects were full-time designated university employees in the Republic of Kenya. A total number of 244 employees were selected using snowball sampling technique from ten public and private universities in the Kenya. A self-administered questionnaire was used to collect data.

The structural equation modelling path analysis and the bootstrapping results confirmed full mediation of novelty ecosystems in the relationship between generative influence and intrapreneurial behaviour. The findings, further, verified that novelty ecosystems partially mediate the relationship between positive deviance and intrapreneurial behaviour.

Subjective appraisals were used, despite the fact that studied variables are ultimately based on what employees perceive. Future research should generate and include more objective measures.

Intrapreneurial behaviour can only be explained and predicted through novelty ecosystems. University leaders need to fully understand and facilitate novelty ecosystems.

A deeper understanding of the power of generative influence, positive deviance and novelty ecosystems will not be fully realized until researchers devote as much energy and attention to facilitation as has been devoted to conflict.

This study extends existing intrapreneurial research into complexity approach.

In social theory, emergence is the process of novelty (1) creation, (2) growth, and (3) formation into a recognizable social object, process, or structure. Emergence is recognized as important for the existence of novel features of society such as new organizations, new practices, or new relations between actors. In this introduction to the volume on emergence, we introduce a framework for examining emergence processes and theories that have been applied or can be applied to each of the three stages. We also review each volume chapter and discuss their relation to each other. Finally, we make suggestions on the future of research on social emergence processes.

This metasynthesis aims to build a theory on the concept of innovation ecosystem from the state of the art of qualitative case studies available in indexed scientific production using interpretive synthesis (Hoon, 2013).

This research was conducted by the postulates of the metasynthesis method (Hoon, 2013) to generate theory from qualitative case studies. The authors retrieved 77 research papers from databases, of which 6 were used for synthesis purposes. Each selected research paper reported one or more cases, which were analyzed separately. At the final stage, a data synthesis was structured and the cases were crossed, which allowed the development of a schematic representation and a theoretical construction of the innovation ecosystem concept. The approach used in this research is a metatheoretical assumption from economics and management and ecology to explore the theoretical gap in the concept of innovation ecosystems.

There is not yet a conceptual consensus on the term, which sometimes leads researchers to address partial or complementary concepts. The analysis identified constitutive elements of an innovation ecosystem that lead to structuring a framework of organic and dynamic interrelationships that a given organization has with various external organizations, allowing the creation of innovative products in a faster way.

This paper helps scholars and researchers consider a new metatheoretical perspective to analyze dynamics, constitutive elements and multilevels of an innovation ecosystem.

For practitioners, this paper sheds lights on the importance of recognizing a systemic consideration of innovation ecosystems that falls in global relationships, industry dynamics and identification of main global–local actors/enablers to produce innovations internally at a given organization.

The novelty of this paper lies in a more delineated definition and a schematic representation of an innovation ecosystem based on a global–local perspective of product creation and manufacturing and interactions that a given company has, regardless of the geographical location of its dispersed strategic partners.

While the importance of interorganizational learning (IOL) as a resource for strategic renewal has been acknowledged in research, limited attention has been placed on exploring IOL in complex networks or ecosystems. This paper aims to bridge this gap in literature through conceptualizing IOL in the tourism industry at the micro, meso and macro levels of the ecosystem.

This paper applies a narrative literature review to explore the tourism industry and IOL. Through insights which evolved from literature, exploratory typologies and propositions were developed forming the basis of the multi-level typology of interorganizational learning in the tourism industry.

Based on the multi-level typology of interorganizational learning in the tourism industry, market actors may develop in isolation, in clusters or networks, with the aggregate output of these formations constituting the basis of the tourism ecosystem. Within the multi-layers of the tourism ecosystem, IOL may be subdivided into seven distinct typologies, with learning ranging from active, passive, interactive to asymmetric. Each typology of IOL is subsequently influenced by relational ties, which may range from collaborative to competitive, and power distribution, which may lead to symmetric or asymmetric relationships.

The novelty of this paper lies in an ecosystem perspective of IOL in the tourism industry, outlining the multi-level nature of IOL in a destination.

This paper aims to explore how intra-industry entrepreneurial experience and failure entrepreneurial experience affect novelty-centered business model design in a new venture. Moreover, the authors also consider whether the contingent value of entrepreneurial experience may differ according to competitive intensity.

A survey via questionnaire was conducted with 290 entrepreneurs and top managers from Chinese new ventures that provided the research data. Hierarchical regression analysis was used to test the proposed theoretical hypotheses.

The empirical results indicate that intra-industry entrepreneurial experience has an inverted U-shaped effect on novelty-centered business model design, whereas failure entrepreneurial experience has a negative effect on novelty-centered business model design. Furthermore, the authors also find that competitive intensity weakens the inverted U-shaped effect of intra-industry entrepreneurial experience on novelty-centered business model design.

This study offers new insights into the effects of intra-industry entrepreneurial experience and failure entrepreneurial experience on novelty-centered business model design and provides useful suggestions for new ventures to promote business model design.

The purpose of the paper is to examine the role of trust and distrust in social networks within the entrepreneurial ecosystem and to develop a conceptual scheme of the impact of trust and distrust on productive and unproductive entrepreneurship.

This study develops a conceptual scheme, founded on the social capital and resource-based view of a firm, by exploring the impact of trust and distrust on entrepreneurial behavior in a social network.

As the paper indicates, trust within an entrepreneurial ecosystem has a positive impact on productive entrepreneurship, while distrust within the ecosystem is expected to be unproductive and destructive (or potentially illegal) to an economy.

The research implication of this paper is that it connects levels of trust and distrust within the ecosystem to the type of the behavior exhibited by entrepreneurs leading either to productive or unproductive entrepreneurial endeavors. As this study is based on the theoretical review resulting in a conceptual scheme, it requires further investigation of proposed interactions.

This paper offers strategic alternatives for entrepreneurs seeking to enhance future endeavors by strengthening trust within social networks for the mutual benefits of the ecosystem and businesses within it.

This study highlights the importance of two social constructs of trust and distrust in maintaining existing and developing future ecosystems. It also reviews potential outcomes of entrepreneurial behavior and their impact on economies.

This research examines both trust and distrust (two separate social constructs) as significant predictors of future outcomes in the entrepreneurial ecosystem that go beyond productive entrepreneurship.

Over recent years, few industries have seen such dramatic changes as the healthcare industry. The potential connectivity of digital technologies is completely transforming the healthcare ecosystem. This has resulted in companies increasingly investing in digital transformations to exploit data across channels, operations and patient outreach, by building on a practice approach and actor-network theory and being informed by service-dominant logic, this study aims to contribute by advancing the agential role of third-party actors to prompt innovation and shape service ecosystems.

This research is grounded in an epistemological contextualism. To gain situated knowledge and address the role of context in knowledge, understanding and meaning the authors adopted a qualitative methodology to study actors in their different contexts. The empirical research was based on case theory. The authors also took guidance from practice scholars about how to investigate actors’ practices. The unit of analysis moves from dyadic relationships to focus on practices across different networks of actors.

This study expands on the conceptualization of triad as proposed by Siltaloppi and Vargo (2017) by moving from the form of triadic relationships – brokerage, mediation and coalition – to the agency of e-health third-parties; and their practices to innovate in the healthcare ecosystem. This study focuses on the actors and the performativity of actions and grounding the conceptual view on an empirical base.

Third-party actors bring about innovative ways of doing business in the healthcare ecosystem. Their actions challenge the status quo and run counter to long-time practices. Third-parties support the complex set of interconnections between different healthcare actors for the provision of new service co-creation opportunities. Considering how these e-health third-parties performs has implications for health managers, patients and other actors.

This study focuses on the actors and the performativity of actions and grounding the conceptual view on an empirical base. The agency of third-party actors is their ability to act among others and to connect multiple social and material structures to boost innovation. They prompt innovation and shape service ecosystems by brokering, mediating and coalescing among a great variety of resources, practices and institutions.

In a context where the process of creation of technology and innovation for agriculture is being disrupted at a fast pace, the authors proposed to study one of the most prominent agtech innovation ecosystems. Therefore, this paper aims to identify key characteristics that make California’s agtech innovation ecosystem remarkable.

The paper is an exploratory and descriptive research carried out in a twofold. First, data were collected through documental research focusing on actors such as universities, R&D centers and programs, business accelerators and venture capital platforms, agtechs, as well as multinational companies. Second, structured interviews were carried out to complement the secondary data collected and to obtain experts’ perception on the relationships between actors of the ecosystem and on the characteristics that make this ecosystem remarkable.

The paper provides empirical insights about the relevance of California's agtech innovation ecosystem to creation of radical innovations in agriculture. It has a differentiated environment, where educational and research institutions play a key role in developing new knowledge. It also shows how important funding is to allow new business to succeed. Additionally, it shows that actors interact in a complex network, with multiple roles. All these key characteristics allow this agtech innovation ecosystem to be so remarkable.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to survey a larger number of actors of this and other agtech innovation ecosystems to test the identified key characteristics further.

The paper includes indication of characteristics necessary to develop a prominent agtech innovation ecosystem, which may contribute to decision makers to develop policies aiming to promote this type of ecosystem.

This paper fulfils an identified need to open the “black-box” of agtech innovation ecosystems, which may then allow radical innovations within the sector to be developed and taken to the market.