علم سنجی

Abstract This article analyzes and illustrates the state of the scientific production of financial literacy, knowledge, and customer experience in the context of the capital market based on scientometric techniques, articles indexed in the Web of Science database between the period of 1977-2022 and the discovery of research gaps. The current research is of a descriptive and applied type, which was conducted using co-occurrence analysis of words. The statistical population of this study comprises scientific articles in the fields of financial literacy and customer experience. A total of 789 articles were selected from two areas close to business management and business finance, and the data were analyzed using VOSviewer software. The most and most frequent words "financial literacy" and "behavior" which are the results of co-occurrence of words and are related to the word "investment"; Seven thematic clusters were also identified: the experience of the financial crisis of COVID-19, financial literacy and investor behavior, asset management, customer satisfaction and experience of services, financial education and knowledge, retirement economy, strategic plan and development of financial education. Keywords: Financial literacy, financial knowledge, customer experience, capital market, scientometrics

Business model innovation is a novel field of research in the literature of organizational entrepreneurship and strategic business renewal that allows acquiring of new competitive benefits by aligning the basic elements of organizations with environmental changes. However, the behaviors of business model renewal and research in this area, particularly in Iran are scarce, and sporadic. This research that is conducted by scientometric method and using citation analysis, evaluative technique and documents content analysis aims to sum up the studies on business model innovation and in addition to present an image of existing researches, identify research gaps and provide suggestion for future studies. Accordingly, the statistical population includes all documents provided in Scopus database with 834 data which was assessed and illustrated using bibexcle and Vosviewer software. Moreover, innovation in business models can led to improve the financial performance of businesses. Studying business innovation can be a reflection of potential for cash – in flow (firm income) of the business in progress. Therefore, in this paper, the classification of the research on the impact of innovation performance on financial performance in different industries is discussed. In the following, the business model innovation studies is classified based on documents content analysis and is presented a general framework of existing knowledge and research gaps of this domain that can provide valuable insights for managers and researchers to enhance the business model innovation researches and behaviors to improve the financial performance of business in Iran.

The purpose of this article is to scientometrics study of treatises in the Islamic finance sphere in Iran with using the content analysis technique. The statistical population of the study consists of 153 thesis published in universities and educational centers of the country. Research data were collected by using a check list tool and analyzed by Excel software. The findings of the research show that Imam Sadegh University and Qom Seminary each with 35 and Allameh Tabataba'i University with 14 thesis titles produced the highest number of treatise in this field. Of all the treatises; 58 titles (38%) were in the subject of Islamic jurisprudence, Islamic financial law with 29 (19%) and Islamic banking with 19 (12%) titles of theses are in the next rank. The most research method used in the writing of treatises is a descriptive-analytic research method that has been used with a jurisprudential approach. Also, educational disciplines of Islamic sciences with 36 titles, Jurisprudence and principles of Islamic law with 26 titles and Private law and economics each with 23 titles, have published the highest number of dissertations in this field.