The structure of an innovation ecosystem: foundations for future research

2020 ◽  
Vol 58 (12) ◽  
pp. 2725-2742 ◽  
Author(s):  
Tomás Dias Sant´Ana ◽  
Paulo Henrique de Souza Bermejo ◽  
Marina Fiqueiredo Moreira ◽  
Wagner Vilas Boas de Souza

PurposeThe 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.Design/methodology/approachUsing 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.FindingsThe 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.Research limitations/implicationsThis study includes only peer-reviewed articles from the Web of Science database.Originality/valueThis 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.

2019 ◽  
Vol 27 (5) ◽  
pp. 1336-1361
Author(s):  
Linda Rothman ◽  
Frans De Vijlder ◽  
René Schalk ◽  
Martine Van Regenmortel

Purpose This paper aims to present a systematic review on organizational empowerment (OE) using Peterson and Zimmerman´s model (2004) as a starting point. The aim is to further conceptualize OE, discover how the components in the model influence each other and identify recommendations for future research. Design/methodology/approach All articles that cited the OE model, published in 2004 by Peterson and Zimmerman, have been systematically reviewed. In total, 37 studies of 410, found in Google Scholar and Web of Science, are included in the review. Findings The review revealed that intra-, inter- and extra-organizational empowerment affect each other and that evidence for the processes and outcomes on intra-organizational empowerment have increased, but there is limited additional evidence for the other two components. Research limitations/implications Literature was searched in two databases, focusing on the OE model. A search using other databases on OE as a broad concept might provide additional sources. Practical implications Findings are relevant for professionals, leaders in human service organizations, educators and researchers. Practice can be improved by applying the knowledge; educators can use the results in their program and researchers may use the findings for the further development of OE. Originality/value Since the OE model was presented in 2004, no systematic review has been performed. Therefore, this review contributes to the further conceptualization of OE.


Information ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 226 ◽  
Author(s):  
Parisa Maroufkhani ◽  
Ralf Wagner ◽  
Wan Khairuzzaman Wan Ismail ◽  
Mas Bambang Baroto ◽  
Mohammad Nourani

The literature on big data analytics and firm performance is still fragmented and lacking in attempts to integrate the current studies’ results. This study aims to provide a systematic review of contributions related to big data analytics and firm performance. The authors assess papers listed in the Web of Science index. This study identifies the factors that may influence the adoption of big data analytics in various parts of an organization and categorizes the diverse types of performance that big data analytics can address. Directions for future research are developed from the results. This systematic review proposes to create avenues for both conceptual and empirical research streams by emphasizing the importance of big data analytics in improving firm performance. In addition, this review offers both scholars and practitioners an increased understanding of the link between big data analytics and firm performance.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Laura Aibolovna Kuanova ◽  
Rimma Sagiyeva ◽  
Nasim Shah Shirazi

Purpose This paper aims to study the main trends of scientific research in Islamic finance’s social aspects to clarify place, role and functions, especially in the context of increasing social problems. To achieve this goal, this paper focuses on the social component of Islamic finance, analyzes publications on social Islamic finance in the Web of Science database, covering the period from 1979 to 2020, specify the geographical localization of research networks, determines the most cited authors and their scientific position. Design/methodology/approach The authors have applied several literature review techniques, a bibliometric citation and co-citation analysis, a co-authorship analysis and a review of the most cited papers. The analyzes’ results allow us to offer five future questions in Islamic social finance, zakat and waqf, which have not been investigated before and could influence Islamic social finance and Islamic finance research. Findings The authors also derive and summarize five leading future research questions. Research limitations/implications This is a limitation of using only the Web of Science Core Collection database as the premier resource and the most trusted citation index for the world’s scientific and scholarly research. Further study might expand the types of analyzed units, include more keywords and include other databases, such as Scopus. Originality/value This paper can be considered as an inspirational one to future researchers and policymakers in Islamic social finance.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jindrich Spicka

PurposeInnovation ecosystems face many environmental challenges. The literature review shows that innovation ecosystems accelerate innovation activity, but empirical studies have not provided enough case studies focusing on the minimum-waste business strategy as one aspect of the circular economy. Various forms of interaction between members occur in the innovation ecosystems, which determines the level of cooperation. This paper aims to show the structure and forms of cooperation in an innovation ecosystem using the Czech Hemp Cluster (CHC) and its surroundings and suggest research directions in the field of interaction between members in an innovation ecosystem. Although hemp is associated with the production and distribution of narcotics, it is a versatile plant supporting the minimum-waste business strategy.Design/methodology/approachThe research is based on a theoretical part of a literature review of major scientific articles on innovation ecosystems from 2016 to 2021. The case study of the CHC and the hemp ecosystem is based on qualitative research in the form of a content analysis of the mission of the cluster members. In addition to content analysis, the classic multidimensional scaling method and hierarchical cluster analysis were used to reveal ecological guilds.FindingsThe case study highlighted the specific relationship between the cluster and the ecosystem. The cluster does not determine the ecosystem boundaries, but the ecosystem is a much broader system of cooperation and interaction between organisations. Clusters emerge after an ecosystem has existed for a particular time to coordinate collaboration and information between organisations and stakeholders. The analysis of the CHC revealed the specific role of non-profit organisations (NPOs) in the innovation ecosystem. NPOs are not engaged in primary functions in the value chain, but they provide supporting activities through coordinated networking, disseminating information on innovation, awareness-raising and stakeholder education. Compared to natural ecosystems, innovation ecosystems are typically characterised by higher forms of collaboration between members.Research limitations/implicationsAn exciting opportunity for research on innovation ecosystems is the ecological guilds taken from natural ecosystems and whose identification can help define the boundaries of innovation ecosystems. An opportunity for further research is the comparison of NPO-based and government-based clusters playing a central role in developing innovation ecosystems. Regarding the problematic generalisability of the case study to the entire agricultural production, a challenge is a search for minimum-waste business models in agriculture characterised by the biological nature of production.Originality/valueTheoretical and empirical studies have not yet considered innovation ecosystems in the minimum-waste context to a sufficient extent. The paper builds on previous scholarly studies focusing on innovation ecosystems and, for the first time, discusses the role of NPOs in the innovation ecosystem. The CHC case study adds a suitable minimum-waste business model to the still very scarce literature on sustainable innovation ecosystems. The article discusses the purpose and forms of cooperation in an innovation ecosystem, identifies a complementarity of roles in the innovation cluster and describes the interrelationship between the cluster and the ecosystem. Discussion of the ecosystem leader in the cluster-based innovation ecosystem shows the differences between Czech, Polish and German life science ecosystems.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Nave ◽  
Paulo Duarte ◽  
Ricardo Gouveia Rodrigues ◽  
Arminda Paço ◽  
Helena Alves ◽  
...  

Purpose In recent years, the craft beer (CB) industry has gained impetus and has experienced significant growth in scientific publications. This study aims to present a systematic review of the literature on CB in areas related to economic and business sciences. Design/methodology/approach Based on the data from Scopus, Web of Science and a set of articles not indexed to these databases until June 2021, a total of 132 articles were included for analysis, using bibliometric and content analysis techniques. Findings The study allowed us to identify that CB has four main clusters/themes of research, namely, CB industry and market, marketing and branding, consumer behavior and sustainability. Detailed information on the clusters is provided. In addition, the results showed that publications addressing CB have grown significantly from 2015 onwards and are dispersed across many journals, with none assuming a clear leadership. Quantitative approaches account for more than half of publications. Research limitations/implications This study is a useful guide for academics intending to develop studies with CB. It provides a framework to structure future research by identifying existing literature clusters and proposes several research propositions. Practical implications The findings from this study are useful for CB companies to get an overview of the main issues affecting the CB industry and market to be able to adapt their strategies and stay aligned with market tendencies in the four main clusters identified. Originality/value This is the first systematic review of CB. Therefore, it provides a significant contribution to frame and strengthening the literature on CB and serves as a reference for future research. Based on the content analysis and cluster identification, the findings portray the status of current research. Accordingly, a set of research opportunities are offered.


Author(s):  
Huseyin Uzunboylu ◽  
Zehra Ozcinar ◽  
Sergey M. Kolotushkin ◽  
Olga A. Kalugina ◽  
Teymur E. Zulfugarzade

The purpose of this study was to examine research and trends in technology usage in gifted child published in selected professional sources during the period 1990-2019. Content and Citation analysis was used in this study to investigate documents related to technology usage in gifted child researches, which were indexed in the Web of Science. “Technology” and “gifted” (high abilities) related keywords were used jointly in the search for documents. There was a total of 240 documents judged to be relevant to the field of technology usage in gifted child education and were analyzed. However, as a result of individual review of the sources, 40 documents that were not relevant for the purpose of the research were excluded from the scope of the re-search. As a result of this study, it can be seen that the documents and the number of citations related to the technology usage in gifted child education field has been continuously increasing since 2005. It is recommended that a combination of citation analysis and other types of analyses should be used in future research studies.


2018 ◽  
Vol 42 (1) ◽  
pp. 107-123 ◽  
Author(s):  
Danila Feitosa ◽  
Diego Dermeval ◽  
Thiago Ávila ◽  
Ig Ibert Bittencourt ◽  
Bernadette Farias Lóscio ◽  
...  

Purpose Data providers have been increasingly publishing content as linked data (LD) on the Web. This process includes guidelines (i.e. good practices) to publish, share, and connect data on the Web. Several people in different areas, for instance, sciences, medicine, governments and so on, use these practices to publish data. The LD community has been proposing many practices to aid the publication of data on the Web. However, discovering these practices is a costly and time-consuming task, considering the practices that are produced by the literature. Moreover, the community still lacks a comprehensive understanding of how these practices are used for publishing LD. Thus, the purpose of this paper is to investigate and better understand how best practices support the publication of LD as well as identifying to what extent they have been applied to this field. Design/methodology/approach The authors conducted a systematic literature review to identify the primary studies that propose best practices to address the publication of LD, following a predefined review protocol. The authors then identified the motivations for recommending best practices for publishing LD and looked for evidence of the benefits of using such practices. The authors also examined the data formats and areas addressed by the studies as well as the institutions that have been publishing LD. Findings In summary, the main findings of this work are: there is empirical evidence of the benefits of using best practices for publishing LD, especially for defining standard practices, integrability and uniformity of LD; most of the studies used RDF as data format; there are many areas interested in dissemination data in a connected way; and there is a great variety of institutions that have published data on the Web. Originality/value The results presented in this systematic review can be very useful to the semantic web and LD community, since it gathers pieces of evidence from the primary studies included in the review, forming a body of knowledge regarding the use best practices for publishing LD pointing out interesting opportunities for future research.


2019 ◽  
Vol 31 (6) ◽  
pp. 910-925
Author(s):  
José Miguel Pina

Purpose This study aims to analyse the spread of terms describing “marketing types” (e.g. services marketing) in the marketing and non-marketing literature and to determine whether the research into specific terms represents a fashion trend. Design/methodology/approach A total of 113 marketing terms were identified by content-analysing all the articles indexed in the web of science. These data were used to estimate a panel model, which predicted the number of articles that refer to a specific marketing type over a 20 years’ period. Findings The model estimation indicates that the “age” of a marketing term has a significant effect on the number of articles published using that term, after controlling for previous research. This effect is not significant for top-tier journals. Research limitations/implications Future research might undertake more comprehensive analyses by including other scientific outlets (e.g. white papers) and databases. Practical implications The results offer new insights for researchers interested in bibliometrics and knowledge diffusion. It warns practitioners and academia about a bias in favour of novel terms. Originality/value The paper demonstrates a “fad effect” that may undermine research into traditional marketing fields. It helps to identify past and current research priorities.


2020 ◽  
Vol 54 (5) ◽  
pp. 643-663
Author(s):  
Sirje Virkus ◽  
Emmanouel Garoufallou

PurposeThe purpose of this paper is to present the results of a study exploring the emerging field of data science from the library and information science (LIS) perspective.Design/methodology/approachContent analysis of research publications on data science was made of papers published in the Web of Science database to identify the main themes discussed in the publications from the LIS perspective.FindingsA content analysis of 80 publications is presented. The articles belonged to the six broad categories: data science education and training; knowledge and skills of the data professional; the role of libraries and librarians in the data science movement; tools, techniques and applications of data science; data science from the knowledge management perspective; and data science from the perspective of health sciences. The category of tools, techniques and applications of data science was most addressed by the authors, followed by data science from the perspective of health sciences, data science education and training and knowledge and skills of the data professional. However, several publications fell into several categories because these topics were closely related.Research limitations/implicationsOnly publication recorded in the Web of Science database and with the term “data science” in the topic area were analyzed. Therefore, several relevant studies are not discussed in this paper that either were related to other keywords such as “e-science”, “e-research”, “data service”, “data curation”, “research data management” or “scientific data management” or were not present in the Web of Science database.Originality/valueThe paper provides the first exploration by content analysis of the field of data science from the perspective of the LIS.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marina Dabic ◽  
Jane Maley ◽  
Ivan Novak

Purpose The rise of the global economy has been an essential element in the international business (IB) agenda since the 1980s, and the topic of globalisation has not failed to captivate the attention of IB researchers and practitioners alike. Globalisation has impacted on such diverse issues as trade relations, geopolitical boundaries, social class, human rights, environmental commitments, religion, ethnicity, sovereignty and conservation of culture. The purpose of this paper is to provide an analysis of the current state of IB research on the topic of globalisation and to guide researchers who are new to IB research as to which journals and authors to consult when studying this phenomenon. Design/methodology/approach The paper presents a bibliometric analysis using the Web of Science database. A multiple correspondence analysis provides a map of keywords and authors, as well as a framework to track the globalisation literature over the 26-year period, 1993–2018. Findings The findings identify several fundamental themes and significant gaps in the extant literature; the most alarming gap centres around the effect of globalisation on social issues and, consequently, the rise of the anti-globalisation crusaders. Research limitations/implications The literature review produced 529 articles listed only in the Web of Science Core Collection in the period 1993–2018. Practical implications A distinctive contribution of this study is that it investigates the intersection between globalisation and IB. This paper seeks to expose the intellectual structure of globalisation research, identify existing and emerging themes of globalisation research and discuss future research streams. Social implications The findings show the rise of the globalisation sceptic and reveal the mounting concerns regarding the unequal benefits of globalisation. Originality/value There are two key benefits of this review. First, the theory extends by identifying a swing from an alignment with the transformationalist theory to sceptical theory. Second, the review has the potential to guide scholars on precisely what needs to be explored in IB globalisation research.


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