The Effect of Innovation on Small and Medium Enterprises: A Bibliometric Analysis

Abstract

Innovation plays great role in organizational competitiveness and sustainable business processes and it should be a key success policy for small and medium-sized enterprises (SMEs) all over the world. To this effect, the purpose of this study is to present a comprehensive understanding of the scientific studies made on the field of innovation and its effect on small and medium enterprises performance. A bibliometric study was used to analyze articles published between 1976 and 2020 and create an illustrative map of innovation in small and medium enterprises; a sample of papers gathered through Web of Science Core Collection database. Accordingly, there were found 2219 documents which were published in 332 sources. VOS viewer was employed to portray network analysis of, authorship, keywords visualization, citations, and countries dealing with the subject. SCIMAT software was also used to do longitudinal thematic analysis. Even though many countries, universities, research institutes, funding agencies, and authors contributed for the growth of this field of study, almost all are from developed nations. This study is one amongst the very few studies made using bibliometric analysis in this field. Moreover, the thematic network diagram reveals two other new themes in the subject, which are taken as knowledge seed, and have high potential for a future study.

Effects of Corporate Entrepreneurship Dimensions on Organizational Performance: Case of Small and Medium Enterprises in Holeta Town, Ethiopia

“…Therefore, it is concluded that the proposed Hypothesis (H1) is supported by the research results. These results are supported by a study conducted in Ghana [86] which found a significant positive relationship between innovation, proactiveness, and profitability. Additionally, in their study of 94 Turkish manufacturing foreign direct investment (FDI) firms, [87] found that two dimensions of entrepreneurial orientation, innovation and proactiveness, positively and significantly affected the performance of the firms.…”

Innovative behavior of Small and Medium Enterprises: A comprehensive bibliometric analysis

“…Moreover, recent studies have recommended that more countries collaborate in their research on SME innovation to share the resulting benefits and costs [66]. Accordingly, the results of the analysis showed much cooperation among the different clusters, but also the USA and the People's Republic of China collaborated in one cluster, the collaboration of England, Germany, Italy, and France in the second cluster, Spain, Brazil, and Sweden collaborating in another cluster, while Australia, Malesia and Pakistan also collaborate in other clusters.…”

“…The bibliometric analysis examines the bibliographic data quantitatively, thus offering an overview of some research fields in accordance with adequate indicators, whereas through some other methods, such as a systematic literature review, the most relevant articles may be selected and analyzed more closely [65]. The main indicators which this approach uses to identify top trends include the publications number, the citations number, the most relevant authors, and the most influential research institutions and countries [66].…”

“…The most productive countries in the blue cluster are England, Italy, and Germany, in the red cluster, and Australia and India in the purple one. To achieve an even deeper insight into the field of interest, the analysis of the keyword is of extreme importance as the keywords represent the publications' context [66]. The keywords indicate the top topics of the field, and their network represents the keywords and topics collaboration.…”

A Decision Management Model for Small and Medium-sized Enterprises Based on Artificial Neural Network

“…(5) The information asymmetry of SaMSE and financial institutions, their corporate credit information and the personal credit information data of business owners are not optimistic, and the acquisition of their credit information data is difficult to reflect through the current official query system [9][10].…”