Presenting the Management Accounting Model in the Digital Era with a Data-Oriented Approach in Vensim System
محل انتشار: فصلنامه مطالعات پردازش دانش، دوره: 4، شماره: 4
سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 143
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شناسه ملی سند علمی:
JR_IJKPS-4-4_006
تاریخ نمایه سازی: 7 آبان 1403
چکیده مقاله:
The research aims to provide a management accounting model in the digital age with a data-oriented approach in Vensim system. It was applied research and qualitative with the approach of grounded theory. The methodological approach was followed by using different methods of data collection, such as the method of library study and review of sources and specialized texts, as well as semi-structured interviews. Based on targeted sampling, ۲۰ managers and shareholders of the stock exchange and financial management experts were interviewed in ۲۰۲۳. The conducted interviews were coded in ATLAS.TI software. In order to confirm the results obtained based on three classifications, the data were evaluated and qualitatively analyzed. Based on the system dynamics method, mathematical modeling of the codes obtained from the qualitative analysis has been done. The analysis is based on simulated data and improved model in Vensim software. The findings of the research were identified separately in five categories: causal, background, intervention, strategy and consequences. A model was identified in ۶ categories, ۱۶ core codes based on ۱۰۹ coders. Causal conditions (advancement of science and technology, changes in business conditions and management conditions), strategies (education, infrastructure, targeting of financial reporting and policy making), consequences (optimization of decision making, business prosperity and economic productivity), Background conditions (economic and political environment and accounting situation). and intervening conditions (negligence and neglect, cultural and social conditions, access to resources and environmental conditions) are designed. In the digital era, access to large and high-quality data has enabled more accurate analyses.
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نویسندگان
Abdolkarim Gholami
PhD Student Dubai, UAE Branch, Islamic Azad University, Tehran, Iran.
Mohamad Hamed Khanmohamadi
Associate Professor, Department of Accounting, Damavand Branch, Islamic Azad University, Tehran, Iran.
Hamidreza Vakilifard
Professor, Department of Accounting, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Mohamadhosein Ranjbar
Associate Professor, Department of Accounting and Finance, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran.
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