Examining access to big data and its use in supply chain decisions based on financial model with ANN-Big data integrated approach
Subject Areas :Elnaz Alikhani zanjani 1 , Farid Asgari 2 , Amir Najafi 3 , Babak Haji Karimi 4
1 - Abhar Zanjan Azad University
2 - Department of Economics, Abhar Branch, Islamic Azad University, Abhar, Iran.
3 - Zanjan/Assistant Professor of the Department of Industrial Engineering, Faculty of Electrical and Industrial Engineering, Islamic Azad University, Zanjan
4 - Zanjan/Assistant Professor at Islamic Azad University of Zanjan
Keywords: supply chain management, decision making, Integrated approach, Big data, financial model,
Abstract :
The purpose of this study is to investigate the current approach through the development and measurement of a scale to evaluate the availability of big data as well as the role and performance of big data prioritization in decision making. This research is a descriptive-correlation type that was conducted using a survey method. The statistical population of this research was made up of managers and experts of Iran Khodro Company in Zanjan city in 1400, whose number is 108 people.To determine the sample size, the sample size estimation table of Karjesi and Morgan was used and the sample size was estimated to be 84 people, and to select the statistical sample of the research, a simple random sampling method was used. The main tool of this research is a questionnaire whose validity is obtained by obtaining opinions Professors and experts were obtained in the fields of industrial management. The reliability of the questionnaire was tested and confirmed through Cronbach's alpha coefficient. To analyze the data, structural equation modeling was used with the help of Spss and Smart-PLS software.The results of this research showed that the availability of big data has a positive and significant effect on SCM decision-making and big data ideation (BDP). Also, the results of the research showed that the size of big data ideation (BDP) using big data on SCM decision-making and the use of big data in SCM decision-making has a positive and significant effect on SCM performance.
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