doi: 10.58763/rc2024300

 

Scientific and Technological Research Article

 

Scientometric and bibliometric review on entrepreneurship networks and ecosystems

 

Revisión cienciométrica y bibliométrica sobre redes y ecosistemas de emprendimiento

 

María Lourdes Meléndez Mejía1  *

 

Abstract

The scientometric and bibliometric review on Entrepreneurship Networks and Ecosystems seeks to characterize the existing information on this field, thus delving into trends, structures, knowledge systems, and other relevant indicators. In the field of business entrepreneurship, it is critical to understand the coexistence of different actors and the articulation of their efforts to achieve the expected objectives and generate synergies. Therefore, a study was conducted aimed at resolving the following question: What scientometric and bibliometric characteristics does the field of Entrepreneurial Networks and Ecosystems present? The quantitative and retrospective methodology was applied by combining databases and the VOSviewer program. As results, it is established that the countries that have the greatest content of scientific research in the field, the authors and collaboration networks, the evolution of citations and publications, as well as inferences and comparisons that favor the representation of the field. It is concluded that it is necessary to establish refined review systems, delve into hidden colleges, and generate comprehensive frameworks to understand disciplinary interactions.

 

Keywords: development administration, enterprises, organization and management, small enterprises.

 

JEL Classification: D21, D52, L26

 

Resumen

La revisión cienciométrica y bibliométrica sobre redes y ecosistemas de emprendimiento persigue establecer una caracterización de la información existente sobre este campo, por lo que se profundiza en tendencias, estructuras, sistema de conocimientos y otros indicadores relevantes. En el campo del emprendimiento empresarial es crítico comprender la coexistencia de diferentes actores y la articulación de sus esfuerzos para lograr objetivos esperados y generar sinergias. La metodología fue cuantitativa y retrospectiva, aplicada bajo la combinación debases de datos y el programa VOSviewer. Como resultados se encontraron los países que tienen mayor contenido de investigación científica en el campo, los autores y redes de colaboración, la evolución de las citaciones y las publicaciones, así como inferencias y comparaciones que favorecen la representación del campo. Se concluye que es necesario establecer sistemas refinados de revisión, profundizar en los colegios ocultos y generar marcos comprensivos apara entender las interacciones disciplinares.

 

Palabras clave: administración del desarrollo, empresa, organización y gestión, pequeña empresa.

 

Clasificación JEL: D21, D52, L26

 

Received: 03-03-2024          Revised: 05-05-2024          Accepted: 15-06-2024          Published: 01-07-2024

 

Editor: Carlos Alberto Gómez Cano

 

1Universidad Nacional Autónoma de Honduras. Comayagua, Honduras.

 

Cite as: Meléndez, M. (2024). Revisión cienciométrica y bibliométrica sobre redes y ecosistemas de emprendimiento. Región Científica, 3(2), 2024300. https://doi.org/10.58763/rc2024300

 

 

 

INTRODUCTION

 

Business relationships are essential for entrepreneurs as a gateway to external resources and for mobilizing them. In the business world, networks play a fundamental role in entrepreneurial ecosystems, as they develop based on cultural, territorial, social, political, and economic factors (Candeias & Franco, 2022; Fernandes & Ferreira, 2022; Knox & Arshed, 2022). Furthermore, these foundations do not act as passive foundations for their functioning but rather represent opportunities for generating synergies, strengthening business-society relationships, and building helix models adapted to local needs (Calabuig-Moreno et al., 2021; Medeiros et al., 2020; Rodrigues et al., 2023), among other benefits of a dynamic ecosystem.

 

Among the main causes of the emergence and popularity of active networking are high levels of unemployment and uneven growth in some economic sectors. It can be said that the stimulation of entrepreneurship has grown through public policies (Frisch et al., 2020; Audretsch et al., 2022); migration governance (B. Nguyen & Canh, 2020); education (Hassan et al., 2021; Longva, 2021; Q. D. Nguyen and Nguyen, 2023); mass media and social networks (Fan et al., 2021; Fang et al., 2022; Sahaym et al., 2021), and others. Prominent examples include grocery stores with or without delivery, which have provided alternatives for economic growth and job creation (Cvijanović et al., 2020; Kwil et al., 2020; Rosenthal et al., 2021).

 

According to the literature reviewed, there is a solid line of studies that approach the field from the perspective of its technological and innovation dimensions (González-Serrano et al., 2020; Mohammadi & Karimi, 2022; Suseno & Abbott, 2021; Zahra et al., 2023). This line of research is fundamental as it is based on the relationship between ventures, local government, established companies, and other key social actors, including at the community level. Among the most notable challenges we can mention the need to design joint strategies where ventures can break schemes, adapt paradigmatic approaches, and remain competitive without altering the essence of entrepreneurial activity, but with great contributions to transformation (Kreiterling, 2023; Si et al., 2023; Vig, 2023).

 

Another notable element relates to the information-knowledge transition. The transfer of new knowledge within the network of entrepreneurial firms can alter perceived organizational effectiveness, the management of technological capabilities, and market uncertainty (Funko et al., 2023; Kordshouli et al., 2024). Inadequate integration can determine how the firm adopts or combines the two opposing logics of causality and effectuation (Jin Zhang et al., 2022).

 

These insights highlight the distinct natures that converge in entrepreneurial ecosystems, as well as the need to explore how business, academic, student, and other emerging civil society ventures are linked (Correia et al., 2024; Guerrero et al., 2021). This line of research should contribute to a better understanding of networks, especially knowledge networks (Dameri & Demartini, 2020; Gerli et al., 2020; Calabuig-Moreno et al., 2021; Thai et al., 2023).

 

However, despite the relevance of the field, as well as the precise knowledge about its structure, studies tend to focus on specific lines. According to Fernandes and Ferreira (2022), entrepreneurship ecosystems have become a central topic on multiple agendas, both academic and industrial. These authors even support the need to establish a clear framework for understanding the theoretical framework of these relationships and their network nature, as well as to delve deeper into the disciplinary relationships and trends that have marked the emergence and evolution of this field in its configuration.

 

Based on the above, it is important to conduct a scientometric and bibliometric review to understand the level of scientific research addressing a critical social phenomenon in economic and social development, as well as an emerging transdisciplinary field. Additionally, data visualization and the identification of trends in institutions, publications, authors, and other indicators could foster the growth of the field in Latin America, as it provides guidance to interested researchers.

 

METHODOLOGY

 

The combination of scientometric and bibliometric analyses has recently become a growing trend, as it combines the strengths of both approaches to determine the trend behavior of a field, make inferences about it, and evaluate the performance of lines, authors, and the impact of scientific research (Kang et al., 2021; Rubiales-Núñez et al., 2024; Sánchez-Castillo et al., 2024). Consequently, both types of studies are considered key to improving scientific research, as they facilitate the development of networks for academic collaboration, the identification of gaps or needs, as well as future avenues (Tamasiga et al., 2023). In the context of the exponential growth of funds allocated to research and the number of research results that are socialized, the combination of the tool sets of both approaches contributes considerably to the quality and rigor of the studies (Jambrino-Maldonado et al., 2022; Malik et al., 2021).

 

Rationality

 

The protocol was designed jointly, retrospectively, quantitatively, non-experimentally, and inferentially oriented. Additionally, a broad approach was established, chosen to fulfill the fundamental objectives, but especially to observe the evolution of the field based on the disciplinary relationships that have shaped it. To guide its execution, we developed what the literature recognizes as the central element of these combined proposals: the research question, defined as follows:

What scientometric and bibliometric characteristics does the field of entrepreneurial networks and ecosystems present?

 

Finally, a combinatorial approach with databases was chosen. Initially, a search was conducted in the Dimensions database due to its versatility, coverage, and analytical capabilities (Ejaz et al., 2022; Moral-Muñoz et al., 2020). Subsequently, the utilities offered by the Scimago Journal & Country Rank were used to explore recent trends in map configuration and measure knowledge trends (García-Villar & García-Santos, 2021; Valderrama et al., 2022).

 

Search strategy and indicators

 

The search strategy was based on a broad approach, established year ranges, and the absence of restrictions. The formula used was TITLE-ABS-KEY (“Entrepreneurship” OR “ecosystem” OR “network”). According to temporary needs, the formula was modified, which in general was AND PUBYEAR > X AND PUBYEAR < X AND ( LIMIT-TO ( OA , “all” ).

 

Table 1.

Search strategy 

Type of study

Bibliometric analysis

Scientometric analysis

Indicadores

Temporal evolution of trends in different ranges.

Unrestricted document typology.

Knowledge structure by subject area.

Production by country or region.

Affiliations.

Lotka's Law.

Zipf's Law.

Hirch Index.

Source: own elaboration

 

Data analysis

 

Two fundamental tools were used: VIZ Tools, offered by Scimago Journal & Country Rank, and VOSviewer software. First, the Subject Bubble Chart was used to explore the composition of the knowledge map by discipline within the area of ​​Business, Management, and Accounting for the three countries with the highest number of publications. Second, the software was used to apply the scientometric indicators presented in table 2 and three types of analysis with all their units: co-authorship, citations, and co-citations. This software offers multiple advantages, including the fact that it does not generate duplicates, offers basic visualization tools, and frees the researcher from excessive data cleaning burdens, ideal for the broad design of this study (Moral-Muñoz et al., 2020). Regarding its limitations, it was considered that it does not provide advanced analysis in terms of evolution, geospatial visualization, and spectrograms (Moral-Muñoz et al., 2020).

 

RESULTS

 

Below are the results obtained according to the indicators explored. The findings are displayed separately and discussed later for greater clarity and quality.

 

Initial scientometric analysis

 

Application of Lotka's Law

 

The first indicator analyzed was the application of Lotka's Law, the importance of which lies in the partial identification of the contribution of the most relevant authors to the development of the field (Shelton, 2020). A total of thirteen authors were identified (Figure 1), the first being Sarah Jack, with a total of nine documents and 618 citations. This analysis showed that Ronald S. Burt had the most citations, with 940, associated with four documents. Regarding the relationship between authors, two small invisible colleges were found; the most important was the one related to Sarah Jack.

 

Figure 1.

Application of Lotka's Law

Tabla

Descripción generada automáticamente

Gráfico

Descripción generada automáticamente

Source: own elaboration, based on VOSviewer

 

Application of Zipf's Law

 

The second indicator corresponded to the application of Zipf's Law, whose importance is given by the identification of keyword frequencies, not only by language but also based on the knowledge structure they represent (Shelton, 2020). A total of 20 keywords were found, including constructions and the rest as terms (Figure 2). The main result of this indicator was the unexpected relationship between the terms "performance" (rank 1, with 79 occurrences) and "entrepreneurship" (rank 20). This phenomenon can be interpreted based on indexing strategies since the use of thesauri or other catalogs can alter frequencies, especially in favor of traditional categories and to the detriment of emerging fields.

 

Figure 2.

Application of Zipf's Law

Source: own elaboration, based on VOSviewer

 

Application of the Hirsch index

 

Based on the results of the previous indicator, it was decided to expand the search to the megafield "Business, Management, and Accounting" using the tools offered by ScimagoJCR. As can be seen in table 1, among the countries with the greatest production on topics related to entrepreneurship ecosystems and networks through scientific production in the megafield are the United States, the United Kingdom, and Germany. Fundamentally, the first two stand out in terms of the h-index, although the North American predominance is also evident in the number of documents.

 

Table 2.

Country Ranks

Country

Region

Documents

Citable documents

Citations

Self-citations

Citations per document

H index

United States

Northern America

80456

72720

2469514

795032

30.69

517

United Kingdom

Western Europe

37721

34026

961447

227888

25.49

301

Germany

Western Europe

23462

20005

335711

56952

14.31

199

China

Asiatic Region

20921

20246

297500

133128

14.22

180

India

Asiatic Region

19511

18623

168696

60673

8.65

126

Australia

Pacific Region

14448

13689

365467

57481

25.3

212

Canada

Northern America

11184

10360

374007

40168

33.44

234

Italy

Western Europe

10806

9718

215531

46966

19.95

165

Spain

Western Europe

10788

10290

211023

37599

19.56

168

Russian Federation

Eastern Europe

9934

9535

36737

19187

3.7

59

Source: own creation based on ScimagoJCR

 

Regarding publications from the most recent available period, the analysis performed using ScimagoJCR tools in the top ten journals in the field showed a range of publication impact from 24.6 to 11.4 (Table 3). Regarding the relevance of the field of entrepreneurial ecosystems and networks, Small Business Economics (14.1 CiteScore) and Journal of Small Business Management (11.4 CiteScore) stood out, which underlines the growing interest in this area of ​​knowledge.

 

Table 3.

Field “General business, Management and Accounting”

Source title

CiteScore

Highest percentile

2020-23 Citations

2020-23 Documents

% Cited

SNIP

SJR

Publisher

Academy of Management Review

24.6

99.0 %
1/478
Strategy and Management

4260

173

92

5.128

10.486

Academy of Management

International Journal of Production Economics

21.4

99.0 %
1/207
Management Science and Operations Research

25144

1177

89

2.855

3.074

Elsevier

Supply Chain Management

16.7

98.0 %
3/218
General Business, Management and Accounting

3615

216

91

2.275

2.507

Emerald Publishing

Journal of International Business Studies

16.2

98.0 %
4/218
General Business, Management and Accounting

4441

274

88

3.481

4.6

Springer Nature

Academy of Management Journal

16

97.0 %
5/218
General Business, Management and Accounting

4602

287

93

3.745

8.271

Academy of Management

Journal of Intellectual Capital

14.5

98.0 %
19/1543
Education

3228

222

91

2.341

1.611

Emerald Publishing

Small Business Economics

14.1

97.0 %
20/716
Economics and Econometrics

8828

627

89

2.827

2.53

Springer Nature

Journal of Business Ethics

12.8

99.0 %
6/1025
Law

16276

1273

91

2.841

2.624

Springer Nature

Decision Sciences

12.4

96.0 %
9/218
General Business, Management and Accounting

2078

167

86

2.036

2.145

John Wiley y Sons

Journal of Small Business Management

11.4

95.0 %
10/218
General Business, Management and Accounting

2775

244

97

2.44

1.632

Taylor y Francis

Source: own elaboration, based on Scopus database

 

Bibliometric analysis in Dimensions

 

The first indicator analyzed was research categories, limiting the area to the top five results. The data collected confirms the diversity of studies that include aspects related to entrepreneurial ecosystems, networks, and sustainability in their research intentions (Table 4). Furthermore, interest was evident from other disciplines, which supports the growing approach to entrepreneurship as a phenomenon that transcends economic issues. This result coincides with those found by similar studies, which show growing interest over time and in terms of areas (Knox & Arshed, 2022; Robertson et al., 2020). Among the most common were digital transformation, the food industry, and environmental and human sciences.

 

Table 4.

Research categories

Area

Number of articles

35 Commerce, Management, Tourism and Services

49 727

3507 Strategy, Management and Organisational Behaviour

33 756

44 Human Society

30 770

46 Information and Computing Sciences

18 788

38 Economics

8 545

Source: own elaboration

 

Regarding the publication type, articles and book chapters predominated (Table 5). This result points to the progressive consolidation of the field, although the limited number of conference papers could be indicative of an early stage in knowledge transfer and represent an interest in the empirical study of phenomena (Bacon et al., 2020), especially those associated with entrepreneurship and small businesses (Anand et al., 2021).

 

Table 5.

Publication type

Type

Number of articles

Article

66 857

Chapter

53 751

Edited Book

22 705

Monograph

13 007

Proceeding

5 026

Source: own elaboration

 

Regarding the most important and influential journals, the analysis of scope and objectives revealed that entrepreneurship ecosystems attract researchers from diverse disciplines who address the outcomes, barriers, and limitations associated with the visions of these companies without disregarding the social and environmental impact. Regarding impact, among the top ten journals, only one was classified by ScimagoJCR as Q4 (Lecture Notes in Networks and Systems), while five appeared as Q1, two as Q2, and two are not indexed but belong to the prestigious Springer publishing house and the SSRN network (a repository managed by Elsevier).  

 

Table 6.

Most relevant sources

No.

Name

Publications

Citations

Citations means

Scimago JR quartile

1

SSRN Electronic Journal

4 073

4 073

4 073

-

2

Sustainability

3 355

3 355

3 355

Q1

3

Encyclopedia of the UN Sustainable Developmental Goals

2 656

2 656

2 656

Book series by Springer

4

Technological Forecasting and Social Change

1 029

1 029

1 029

Q1

5

Tobacco Induced Diseases

956

956

956

Q1

6

Lecture Notes in Computer Science

914

914

914

Q2

7

Lecture Notes in Networks and Systems

847

847

847

Q4

8

Journal of Business Research

774

774

774

Q1

9

Journal of Cleaner Production

765

765

765

Q1

10

HortScience

529

529

529

Q2

Source: own elaboration

 

Regarding the analysis by co-authorship by authors, a total of 10 399 (N=10 399) were found, of which 39 (n=39) met the minimum document indicator (5>) (Figure 3). The result showed a predominance of Chinese authors concentrated in two well-defined clusters. The most important is the one formed around X Guan, an author with a large number of publications and co-authorships, which confirms the existence of invisible colleges around the field (Goyanes & De-Marcos, 2020).

 

Figure 3.

Analysis by co-authorship by authors

Source: own elaboration

 

Regarding the analysis by co-authorship by organizations, a total of 3 643 (N=3 643) were found, of which 283 met the minimum document indicator (5>), but only 277 showed connection (n=277). An overlap analysis was carried out in the period 2020-2023, which confirmed the trend towards strengthening the field in China and the presence of North American and British universities (Figure 4).

 

Figure 4.

Analysis by co-authorship by institutions

Source: own elaboration

 

Regarding the analysis by co-authorship by country, a total of 107 (N=107) were found, of which 69 (n=69) met the minimum document indicator (5>). The result confirmed previous analyses by showing the United States as the center and China as one of the main producing countries, but with less centrality and collaboration. These results coincide with those found by other studies with a similar rationale (Calabuig-Moreno et al., 2021; García-Lillo et al., 2023; Robertson et al., 2020). In addition, there is a need to delve deeper into the conditions of the different contexts and their impact on the formation of ventures (Mourao & Martinho, 2020).

 

Figure 5.

Analysis by co-authorship by country

Source: own elaboration

 

CONCLUSIONS

 

The analysis of the study confirms the importance and growth of the field of entrepreneurship ecosystems and networks. It also demonstrates the importance of considering megafields and their relationship with different disciplines that, outside of them, contribute to shaping current and future lines of research. The most prominent countries were identified as the United States, the United Kingdom, and Germany. Close behind in terms of relevance is China, a country with limited external collaboration networks but solid recent production.

 

Another notable result was the tendency toward the formation of hidden networks, both in the scientometric and bibliometric analysis. This finding reinforces the need to integrate into academic networks and participate in international collaborations. In this sense, it can be concluded that invisible colleges are crucial for the future development of knowledge in the field of entrepreneurship networks and ecosystems.

 

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FINANCIING

None

 

CONFLICT OF INTEREST STATEMENT

None.

 

AUTHORSHIP CONTRIBUTION

Conceptualization: María Lourdes Meléndez Mejía.

Data curation: María Lourdes Meléndez Mejía.

Formal Analysis: María Lourdes Meléndez Mejía.

Investigation: María Lourdes Meléndez Mejía.

Methodology: María Lourdes Meléndez Mejía.

Software: María Lourdes Meléndez Mejía.

Supervision: María Lourdes Meléndez Mejía.

Validation: María Lourdes Meléndez Mejía.

Visualization: María Lourdes Meléndez Mejía.

Writing - original draft: María Lourdes Meléndez Mejía.

Writing - proofreading and editing: María Lourdes Meléndez Mejía.