Business Models in the Past, Present and Future: Review and Citation Analysis
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F17%3A63516288" target="_blank" >RIV/70883521:28120/17:63516288 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Business Models in the Past, Present and Future: Review and Citation Analysis
Popis výsledku v původním jazyce
This paper analyzes theoretical and practical empirical results on business model research in a selected scientific database - Thomson Reuters’s Web of Science. A dataset of 2,683 records published between 1952 and 2017 was collected and analyzed through the Java application for visualizing trends – CiteSpace. A network of co-citation references was created and labelled by the most-cited author. It has been found out that among the most cited authors belong the following: D. J. Teece, C. Zott, H. Chesbrough, A. Osterwalder, R. Casadesus-Masanel, B. Demil and C. Baden-Fuller. Moreover, 226 clusters of co-citated references were identified and overall properties of the network were supported by the modularity Q and the mean silhouette scores. Furthermore, phrases from the titles of articles that cited a particular cluster were extracted and visualized in a network emphasizing key topics on the business model research having been addressed in the scientific literature till 2017. Among top 5 topics that have formed the research in the given period belong business model innovation, real business cycle model, business process modelling, solution-specific business model and business model frameworks. The paper concludes by summarizing key findings and noting the limitations of the study.
Název v anglickém jazyce
Business Models in the Past, Present and Future: Review and Citation Analysis
Popis výsledku anglicky
This paper analyzes theoretical and practical empirical results on business model research in a selected scientific database - Thomson Reuters’s Web of Science. A dataset of 2,683 records published between 1952 and 2017 was collected and analyzed through the Java application for visualizing trends – CiteSpace. A network of co-citation references was created and labelled by the most-cited author. It has been found out that among the most cited authors belong the following: D. J. Teece, C. Zott, H. Chesbrough, A. Osterwalder, R. Casadesus-Masanel, B. Demil and C. Baden-Fuller. Moreover, 226 clusters of co-citated references were identified and overall properties of the network were supported by the modularity Q and the mean silhouette scores. Furthermore, phrases from the titles of articles that cited a particular cluster were extracted and visualized in a network emphasizing key topics on the business model research having been addressed in the scientific literature till 2017. Among top 5 topics that have formed the research in the given period belong business model innovation, real business cycle model, business process modelling, solution-specific business model and business model frameworks. The paper concludes by summarizing key findings and noting the limitations of the study.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
<a href="/cs/project/GP14-18597P" target="_blank" >GP14-18597P: Tvorba strategického modelu výkonnosti založeného na synergických efektech vybraných soustav řízení</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
PROCEEDINGS OF THE 4th INTERNATIONAL CONFERENCE ON FINANCE AND ECONOMICS
ISBN
978-80-87990-11-7
ISSN
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e-ISSN
neuvedeno
Počet stran výsledku
17
Strana od-do
438-454
Název nakladatele
Melandrium
Místo vydání
Slaný
Místo konání akce
Ho Chi Minh City
Datum konání akce
21. 9. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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