Identification and Ranking the Components and indicators of Future Purchase Intention of High-Involvement Products Using Fuzzy Delphi Logic (Case Study: LG’s Brand Products in Iran)

Nowadays, given the rapid changes in customers' desires and demands, forward thinking in the area of ​​predicting future consumer purchases in the field of high-mental involvement can be considered.

This paper identifies and prioritizes the components of the future purchase intention of high-mental involvement products by identifying the factors, dimensions, components and indicators that affect this area.

Based on the theoretical framework of this research, in this research, the fuzzy Delphi Logic was used to find expert opinions on a benchmark. Closed questions (Likert) were used to design and compile questionnaire indices. In this regard, Delphi method was used for designing a questionnaire in the first round and by identifying indicators and components by reviewing the literature and interviewing the experts.

In this step, the research uses a literature study to extract the components and indicators that were intended to buy upcoming products with a high degree of mental convergence in LG brand products. Finally, 18 components and 75 indicators were identified.

In this research, based on experts' opinions and fuzzy Delphi analysis, feedback indicators from the people of the world and attention to product changes and changes from the social component with the highest degree of DI-phase, the most important indicators of research and the index of environmental groups from the component of norms Subjective with the lowest degree of DI-phase is considered the least important indicator.