Industrial Innovations

Industrial Innovations

Presenting a Model to Examine Causal Relationships between the Key Criteria of Artificial Intelligence-based Innovation Management using DIMATEL Technique (Case Study: Home Appliances Industry)

Document Type : Original Article

Authors
Samaneh Jamal Abadi 1
Roxana Fekri 2
1 Department of Industrial Engineering, Payame Noor University, Tehran, Iran.
2 Department of Industrial Engineering, Payame Noor University, Responsible, Tehran, Iran.
10.66224/jii.4.2.90
Abstract
In the present era, artificial intelligence has gained a prominent position in many industrial and manufacturing sectors. In order to achieve a deeper understanding of the application of artificial intelligence in the innovation process, the present study aims to identify the causal and effect factors influencing the artificial intelligence–based innovation management process in the home appliance industry. Data were collected using both library and field methods. In the library method, effective factors were identified through a review of the literature. Subsequently, analysis was conducted using data obtained from a pairwise comparison questionnaire. Twelve experts, including managers and specialists from the home appliance industry, responded to the questionnaires. The collected data were then analyzed using the DEMATEL technique. The results indicate that among the main criteria, process-related and organizational criteria are causal and influential, and they affect the economic criterion. Therefore, in order to reduce costs and achieve economic growth during the innovation process, the aforementioned criteria should be controlled and improved.
Keywords
Innovation Management
Artificial Intelligence
DEMATEL Technique
Home Appliance Industry
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  • Receive Date 22 February 2026
  • Revise Date 02 June 2026
  • Accept Date 07 June 2026