• Home
  • Scientific Map
    • List of Articles Scientific Map

      • Open Access Article

        1 - Analysis of the scientific stream of management accounting research in the Web of Science database
        seyed ali hosseini fatemeh geramirad tayyebeh zare zardeini
        The Scientific flow analysis plays a key role in identifying important research areas that reflect developments, challenges and solutions in a scientific field. In this regard, the purpose of this study is to identify the current research areas in management accounting More
        The Scientific flow analysis plays a key role in identifying important research areas that reflect developments, challenges and solutions in a scientific field. In this regard, the purpose of this study is to identify the current research areas in management accounting in global research. This is a descriptive applied research that has been done by content analysis and scientometric method. The sample of this study is 6305 articles in the field of management accounting that are indexed on  Web of Science database from beginning to 2019. Data analysis was performed using Vosviewer and overview softwares. The findings indicate that research in this field can be classified into 9 clusters: agency theory, corporate governance, performance evaluation, institutional theory, game theory, management control systems and capital budgeting. The evolution of key theories can also be classified into seven stages: (1) stewardship theory (2) structuration theory (3) contingency theory (4) representation theory (5) institutional theory (6) Transaction costs (7) Game theory (8) New institutional theory (9) Evolutionary game theory (10) Actor network theory. Manuscript profile
      • Open Access Article

        2 - Drawing word co-occurrence map in the field of digital transformation in the Web of Science database
        ُSoheila Khoeini Alireza Noruzi Nader Naghshineh Zeinab Jozi
        Objective: The current research was conducted with the aim of drawing word co-occurrence map in the field of digital transformation in the public sector in the Web of Science database.Methodology: This analytical research was carried out using scientometric techniques w More
        Objective: The current research was conducted with the aim of drawing word co-occurrence map in the field of digital transformation in the public sector in the Web of Science database.Methodology: This analytical research was carried out using scientometric techniques with library methods, vocabulary co-occurrence analysis and social network analysis. The statistical population of the research consists of 536 scientific publications in the field of digital transformation from 1996 to 2022 in the Web of Science database. Data analysis and the word co-occurrence map were done with the Excel, Bibexcel and HistCite and VOSviewer softwares.Results: The findings showed that the UK, Russia and India had the most publications on this subject. Dalhousie University, Plekhanov Russian University of Economics, Brunel University London were the most prolific research institutes for publications on digital transformation. Six clusters of digital transformation research were identified in the public sector, which include digital government services, digital infrastructure, digital transformation strategy, digital leadership and governance, transformative technologies, and digital innovation cluster (disruptive technologies).Conclusion: The results indicate that the majority of publications have been conducted around e-government, information and communication technology, digitalization, business, digitization and digital strategy, which shows the need to pay attention to the appropriate infrastructure and transform governments to move towards digital transformation in services. The need for international cooperation is necessary for the countries to achieve such a goal. Manuscript profile
      • Open Access Article

        3 - Co-occurrence analysis of words and visualizing a scientific map of researches about schools
        Niloofar Parsafard Ali Khalkhali Zohreh Shakibaei
        Objective: The purpose of this research was to analysis the co-occurrence of words and visualizing a scientific map of researches about schools.Methodology: This research was applied, descriptive/ analytical, and based on scientometrics technique. The statistical popula More
        Objective: The purpose of this research was to analysis the co-occurrence of words and visualizing a scientific map of researches about schools.Methodology: This research was applied, descriptive/ analytical, and based on scientometrics technique. The statistical population were articles indexed in SID, comprehensive humanities portal, Magiran, and Eric databases, in 9 years (2012-2020), searching for the keyword "school". In one part of the study, the whole community and in another part, Bradford's law were used for sampling. Also, diagrams of co-matrices and scientific maps were prepared by Raver-Matrix and VOSviewer software, respectively.Results: In search of the keyword "school" in the databases, 4390 Persian articles (2012-2020) and 14313 English articles (2012-2020); Also 1712 Persian words, and 3563 English words were found. According to the findings, the highest growth rates of school-centered Persian researches were in 2019 (16.42%) and 2018 (14.33%), and in English in 2012 (20.09%). Most of these articles were in the fields of "psychology" and "education". Also, the highest co-occurrence rate of words with the school belonged to the "critical thinking-mind" in Persian and "students-schools" in English articles.Conclusion: Analysis of "school" developments at the national and international levels has shown that many researches have addressed this concept in recent years. The study of the publication rate of researches; and words co-occurrence with "school", suggests that "school" was implicitly within various fields; that’s necessary to focus on studied in a specialized field instead of scattered. Manuscript profile