Integrating Artificial Intelligence and SWOT Analysis in Strategic Planning

In today's digital world, strategic planning will be considered as a critical factor in the success of organizations. The SWOT analysis tool has been widely used in this field; however, this traditional method has limitations such as dependence on managers' subjective knowledge and inability to process big data. Artificial Intelligence (AI), with capabilities such as big data processing, pattern recognition, and accurate prediction, can serve as a suitable solution to overcome these limitations. In this study, the integration of AI and SWOT analysis has been investigated in order to improve the accuracy and flexibility of the strategic planning process. Using a review method and studying domestic and foreign literature, the application of artificial intelligence algorithms in identifying and assessing strengths, weaknesses, opportunities, and threats was analyzed. The results showed that the use of technologies such as neural networks, fuzzy algorithms, and machine learning can automate and accurately perform the SWOT analysis process. Also, scenario prediction and strategy prioritization using AI can improve strategic decision-making. However, there are challenges such as organizational resilience, high implementation costs, and the need for multidisciplinary experts. Therefore, the integration of AI and SWOT analysis can be used as a new approach in strategic planning and help organizations achieve success in today's dynamic and competitive environments.

کلیدواژه ها:

Program ، strategic planning ، SWOT analysis ، artificial intelligence ، intelligent decision-making