Business & Innovation

2014-2024 Bibliometric analysis

Author

Pablo A. Cortés

Published

April 16, 2024

1 Purpose

The objective is the identification of top talent conducting research in the areas of Business & Innovation. The selection criteria are based on scientific merit, publication, and citation records. Moreover, the corresponding authors of the most cited articles were pinpointed. Subsequently, a content analysis was conducted to identify articles centered on pertinent research topics.

2 Methodological Approach

An electronic search was conducted through the Web of Sciences (WoS) database to retrieve peer-reviewed studies published in the most important journals in Business & Innovation from January 1st, 2014, to March 31st, 2024

The search strategy was as follows:

SO = (Academy of Management Review OR Academy of Management Journal OR Organization Science OR Management Science OR Research Policy OR Journal of Product Innovation Management OR Academy of Management Discoveries OR Journal of Business Venturing OR Strategic Management Journal OR Strategic Entrepreneurship Journal OR MIS Quarterly OR Administrative Science Quarterly OR Information Systems Research OR Marketing Science OR Strategy Science OR Industrial and Corporate Change OR Long Range Planning OR Journal of Operations Management OR California Management Review OR Entrepreneurship Theory and Practice OR Organization Studies OR Journal of Organizational Behavior)

A total of 17,562 articles, including research articles, reviews, and proceeding papers, were initially collected. After cleaning the database to remove potential duplicates, we obtained 16,473 articles.

3 Main Information

Table 2 illustrates the primary bibliometric indicators extracted from the academic database.

3.1 Annual scientific production

Figure 1 illustrates the annual scientific output of articles published in the key journals in Business & Innovation from January 1, 2014, to March 31, 2024.

4 Author-level

Author-level metrics focus on evaluating the research output and impact of individual researchers. These metrics help determine the productivity, collaboration patterns, and influence of authors in the scholarly community.

4.1 Researchers and their publications

Table 3 presents a comprehensive list of all researchers included in the database, detailing their publications and associated keywords for each article.

4.2 Researchers and their productivity

Table 4 displays a list of all researchers in the database, along with their total number of citations, h-index (Hirsch index), and g-index (Egghe’s g-index). The h-index measures a researcher’s citation impact by looking at the highest number of their papers with at least the same number of citations. Conversely, the g-index focuses on highly cited papers, indicating the impact of a researcher’s most influential publications. These metrics are calculated based on the available articles in the database.

5 Institutional-level

Institutional-level metrics provide insights into the research performance of individual institutions such as universities, research institutes, or organizations. These metrics help to evaluate the quantity and quality of research output, collaboration patterns, and impact within an institution.

5.1 Most relevant affiliations

Table 5 provides an overview of the top 20 institutions based on the number of publications, considering the affiliations of all co-authors for each paper.

6 Country-level

Country-level metrics provides an overview of research productivity across different countries.

6.1 Country Scientific Production

Figure 2 illustrates the academic productivity of the top 20 most productive countries based on authors’ affiliations.

6.2 Country Collaboration

An alternative analysis that takes into account the country dimension involves calculating the proportion of articles where at least one author is affiliated with a country different from that of the corresponding author. Figure 3 provides insight into the number of multi-country publications (MCP) and single-country publications (SCP). It showcases influential countries, with China standing out for its significant level of international collaboration.

7 Article-level

Article-level metrics focus on evaluating the impact and influence of individual research articles. These metrics help to assess the visibility, citation impact, and dissemination of specific publications. The top 20 most cited articles in the data base, and its DOI, corresponding author name, affiliation and e-mail are presented in Table 6.

Table 6. Top 20 most cited articles
Title Publication Year DOI Corresponding author E-mail
Crowdfunding: Tapping The Right Crowd 2014 https://doi.org/10.1016/j.jbusvent.2013.07.003 Schwienbacher, A (Corresponding Author), Univ Lille 2, Univ Lille Nord France Skema, Fac Finance Banque \& Comptabilite, Rue Mulhouse 2 Bp 381, F-59020 Lille, France paul.belleflamme@uclouvain.be thomas.lambert@uclouvain.be armin.schwienbacher@skema.edu
Crowdfunding: Tapping The Right Crowd 2014 https://doi.org/10.1016/j.jbusvent.2013.07.003 Schwienbacher, A (Corresponding Author), Univ Lille 2, Univ Lille Nord France Skema, Fac Finance Banque \& Comptabilite, Rue Mulhouse 2 Bp 381, F-59020 Lille, France paul.belleflamme@uclouvain.be thomas.lambert@uclouvain.be armin.schwienbacher@skema.edu
Towards A Theory Of Ecosystems 2018 https://doi.org/10.1002/smj.2904 Jacobides, Mg (Corresponding Author), London Business Sch, Strategy \& Entrepreneurship Area, Sussex Pl,Regents Pk, London Nw1 4sa, England mjacobides@london.edu
Thinking About U: Theorizing And Testing U- And Inverted U-Shaped Relationships In Strategy Research 2016 https://doi.org/10.1002/smj.2399 He, Zl (Corresponding Author), Tilburg Univ, Dept Management, 2 Warandelaan, Nl-5037 Ab Tilburg, Netherlands z.l.he@tilburguniversity.edu
Consistent Partial Least Squares Path Modeling 2015 https://doi.org/10.25300/MISQ/2015/39.2.02 Dijkstra, Tk (Corresponding Author), Univ Groningen, Fac Econ \& Business, Nettelbosje 2, Nl-9747 Ae Groningen, Netherlands t.k.dijkstra@rug.nl j.henseler@utwente.nl
Leveraging External Sources Of Innovation: A Review Of Research On Open Innovation 2014 https://doi.org/10.1111/jpim.12125 West, J (Corresponding Author), Kgi, 535 Watson Dr, Claremont, Ca 91711 Usa kgi@joelwest.org
Leveraging External Sources Of Innovation: A Review Of Research On Open Innovation 2014 https://doi.org/10.1111/jpim.12125 West, J (Corresponding Author), Kgi, 535 Watson Dr, Claremont, Ca 91711 Usa kgi@joelwest.org
The Impact Of Corporate Sustainability On Organizational Processes And Performance 2014 https://doi.org/10.1287/mnsc.2014.1984 Eccles, Rg (Corresponding Author), Harvard Univ, Sch Business, Boston, Ma 02163 Usa reccles@hbs.edu iioannou@london.edu gserafeim@hbs.edu
The Impact Of Corporate Sustainability On Organizational Processes And Performance 2014 https://doi.org/10.1287/mnsc.2014.1984 Eccles, Rg (Corresponding Author), Harvard Univ, Sch Business, Boston, Ma 02163 Usa reccles@hbs.edu iioannou@london.edu gserafeim@hbs.edu
Digital Entrepreneurship: Toward A Digital Technology Perspective Of Entrepreneurship 2017 https://doi.org/10.1111/etap.12254 Nambisan, S (Corresponding Author), Univ Wisconsin, Sheldon B Lubar Sch Business, Entrepreneurship \& Technol Management, Milwaukee, Wi 53201 Usa nambisan@uwm.edu
Business Models And Dynamic Capabilities 2018 https://doi.org/10.1016/j.lrp.2017.06.007 Teece, Dj (Corresponding Author), Univ Calif Berkeley, Inst Business Innovat, F402 Haas Sch Business 1930, Berkeley, Ca 94720 Usa teece@haas.berkeley.edu
Industry Platforms And Ecosystem Innovation 2014 https://doi.org/10.1111/jpim.12105 Gawer, A (Corresponding Author), Univ London Imperial Coll Sci Technol \& Med, Sch Business, South Kensington Campus, London Sw7 2az, England a.gawer@imperial.ac.uk
Industry Platforms And Ecosystem Innovation 2014 https://doi.org/10.1111/jpim.12105 Gawer, A (Corresponding Author), Univ London Imperial Coll Sci Technol \& Med, Sch Business, South Kensington Campus, London Sw7 2az, England a.gawer@imperial.ac.uk
Signaling In Equity Crowdfunding 2015 https://doi.org/10.1111/etap.12157 Cumming, D (Corresponding Author), York Univ, Schulich Sch Business, Ontario Res, 4700 Keele St, Toronto, On M3j 1p3, Canada gerrit.ahlers@atkearney.com dcumming@schulich.yorku.ca christina.guenther@whu.edu denis.schweizer@concordia.ca
Managerial Cognitive Capabilities And The Microfoundations Of Dynamic Capabilities 2015 https://doi.org/10.1002/smj.2247 Helfat, Ce (Corresponding Author), Tuck Sch Business Dartmouth, 100 Tuck Hall, Hanover, Nh 03755 Usa constance.helfat@dartmouth.edu
Women On Boards And Firm Financial Performance: A Meta-Analysis 2015 https://doi.org/10.5465/amj.2013.0319 Post, C (Corresponding Author), Lehigh Univ, Coll Business \& Econ, Management, Bethlehem, Pa 18015 Usa corinne.post@lehigh.edu kbyron@gsu.edu
Financial Literacy, Financial Education, And Downstream Financial Behaviors 2014 https://doi.org/10.1287/mnsc.2013.1849 Fernandes, D (Corresponding Author), Erasmus Univ, Rotterdam Sch Management, Nl-3000 Dr Rotterdam, Netherlands daniel.fernandes@ucp.pt john.g.lynch@colorado.edu rgn3p@comm.virginia.edu
Financial Literacy, Financial Education, And Downstream Financial Behaviors 2014 https://doi.org/10.1287/mnsc.2013.1849 Fernandes, D (Corresponding Author), Erasmus Univ, Rotterdam Sch Management, Nl-3000 Dr Rotterdam, Netherlands daniel.fernandes@ucp.pt john.g.lynch@colorado.edu rgn3p@comm.virginia.edu
Understanding And Tackling Societal Grand Challenges Through Management Research 2016 https://doi.org/10.5465/amj.2016.4007 George, G (Corresponding Author), Singapore Management Univ, Lee Kong Chian Sch Business, Innovat \& Entrepreneurship, Singapore 178902, Singapore NA
Dynamic Capabilities And Organizational Agility 2016 https://doi.org/10.1525/cmr.2016.58.4.13 Teece, D (Corresponding Author), Univ Calif Berkeley, Haas Sch Business, Global Business, Berkeley, Ca 94720 Usa NA
Building Dynamic Capabilities For Digital Transformation: An Ongoing Process Of Strategic Renewal 2019 https://doi.org/10.1016/j.lrp.2018.12.001 Warner, Ksr (Corresponding Author), Edinburgh Napier Univ, Business Sch, Room 2-44,Craiglockhart Campus, Edinburgh Eh14 1dj, Midlothian, Scotland k.warner@napier.ac.uk maximilian.waeger@nunatak.com
Bridging Differing Perspectives On Technological Platforms: Toward An Integrative Framework 2014 https://doi.org/10.1016/j.respol.2014.03.006 Gawer, A (Corresponding Author), Univ London Imperial Coll Sci Technol \& Med, Imperial Coll Business Sch, South Kensington Campus, London Sw7 2az, England a.gawer@imperial.ac.uk
Bridging Differing Perspectives On Technological Platforms: Toward An Integrative Framework 2014 https://doi.org/10.1016/j.respol.2014.03.006 Gawer, A (Corresponding Author), Univ London Imperial Coll Sci Technol \& Med, Imperial Coll Business Sch, South Kensington Campus, London Sw7 2az, England a.gawer@imperial.ac.uk
Multiple Institutional Logics In Organizations: Explaining Their Varied Nature And Implications 2014 https://doi.org/10.5465/amr.2011.0431 Besharov, Ml (Corresponding Author), Cornell Univ, Ilr Sch, Ithaca, Ny 14853 Usa mlb363@cornell.edu smithw@udel.edu
Multiple Institutional Logics In Organizations: Explaining Their Varied Nature And Implications 2014 https://doi.org/10.5465/amr.2011.0431 Besharov, Ml (Corresponding Author), Cornell Univ, Ilr Sch, Ithaca, Ny 14853 Usa mlb363@cornell.edu smithw@udel.edu
The Digital Transformation Of Innovation And Entrepreneurship: Progress, Challenges And Key Themes 2019 https://doi.org/10.1016/j.respol.2019.03.018 Nambisan, S (Corresponding Author), Case Western Reserve Univ, Cleveland, Oh 44106 Usa satish.nambisan@case.edu mike.wright@imperial.ac.uk maryann.feldman@unc.edu
Renaissance Of Case Research As A Scientific Method 2014 https://doi.org/10.1016/j.jom.2014.03.004 Ketokivi, M (Corresponding Author), Ie Univ, Ie Business Sch, Maria De Molina 12-5, Madrid 28006, Spain mikko.ketokivi@ie.edu thomas.choi@asu.edu
Renaissance Of Case Research As A Scientific Method 2014 https://doi.org/10.1016/j.jom.2014.03.004 Ketokivi, M (Corresponding Author), Ie Univ, Ie Business Sch, Maria De Molina 12-5, Madrid 28006, Spain mikko.ketokivi@ie.edu thomas.choi@asu.edu

8 Content Analysis

Content analysis is the systematic categorization and examination of research publication content to reveal prevalent themes, patterns, trends, or relationships within the academic dataset. This method assists researchers in understanding the common subjects, methodologies, and contexts present in the literature, enabling the generation of valuable insights and knowledge within a specific research field.

8.1 Most frequent bigrams based on publishes abstracts

Bigrams are pairs of successive words that occur together in a text, and analyzing their frequency provides valuable insights into content relationships and patterns. The importance of bigram frequency analysis lies in its ability to capture more nuanced meaning and context compared to single word analysis. This allows researchers to identify specific phrases or terms that hold unique significance within a particular field of study.

Figure 4 displays the twenty most frequent bigrams identified in the abstracts within the database.

8.2 Topic Modelling

Latent Dirichlet Allocation (LDA) is an unsupervised machine learning algorithm that effectively aids in identifying research topics from a corpus of information. Abstracts of retrieved articles are analyzed to unveil underlying themes, enabling the search for specific topics and keywords in our database, along with exploring the publications and their authors. Figure 5 showcases the five topics identified through the LDA analysis, with topic labels generated using the OpenAI gpt-3.5-turbo Model.

8.3 Semantic Context

The analysis of the semantic context of words and phrases involves examining the surrounding text elements both before and after the target words or phrases of interest. This analysis aims to uncover the relationships and associations between the chosen terms and their contextual environment within the text. By identifying this context, it´s possible to gain insights into how the terms are understood across different contexts. This analysis utilized relevant keywords and information from the bigrams and LDA analysis.

8.3.1 Technology Impact

8.3.2 Organizational Processes

8.3.3 Performance Outcomes

8.3.4 Strategic Management

8.3.5 Innovation Insights

8.3.6 Data-Driven Business

8.3.7 Social Impact

8.3.8 Innovation Performance

8.3.9 Entrepreneurship and innovation

8.3.10 Open Innovation

8.3.11 Digital Innovation

8.3.12 Intellectual Property

8.3.13 Strategic Management

8.3.14 AI Ventures

8.3.15 Artificial Intelligence

8.3.16 Machine Learning