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Proposing a Model for the Formation of Digital Marketing and Technology in Petrochemicals Using Artificial Intelligence
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Shohreh Banoo Farhang1   , Manouchehr Ansari2 |
1- PhD student of Business Administration, Subdiscipline of Marketing Management, Tehran University, Kish International Campus, Tehran, Iran
2- Associate Professor, Department of Business Administration, Faculty of Management, University of Tehran, Tehran, Iran , mansari@ut.ac.ir |
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Abstract: (6 Views) |
| The aim of study was to elucidate the criteria influencing the formation of digital marketing using artificial intelligence. The research method was a mixed-methods approach. In the qualitative section, the thematic analysis and in the quantitative section, path analysis was employed using artificial intelligence. The statistical population in the qualitative section consists of all articles, scientific reports. In the quantitative section, the population includes experts and managers in the field of digital marketing and technology in the petrochemical industry in Kermanshah. The qualitative sampling method is snowball sampling, and the quantitative sampling method is simple random stratified sampling. The sample size is estimated to be around 380 individuals. The data collection tools in the qualitative section were note-taking, and in the quantitative section, a researcher-designed questionnaire was used. The results showed that the formation of digital marketing using artificial intelligence significantly leads to the expansion of customer interactions, time savings, reduction in human errors, and identification of risky investments |
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| Keywords: Digital Marketing, Artificial Intelligence, Kermanshah Petrochemicals. |
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Full-Text [PDF 738 kb]
(13 Downloads)
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Type of Study: Research |
Subject:
Management
Received: 2024/12/25 | Accepted: 2025/05/5 | Published: 2025/12/22
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