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The Effects of Perceived Satisfaction Level of High-Involvement Product Choice Attribute of Millennial Generation on Repurchase Intention: Moderating Effect of Gender Difference KCI 등재 SCOPUS

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한국유통과학회 (Korea Distribution Science Association)
초록

The purpose of this study is to derive various clues for the establishment of marketing strategies for companies that produce and sell high-involvement products for Millennials who are not the subject of current consumption but who will lead future consumption. For this purpose, this study aimed to derive 17 factors of high-involvement product selection attributes through FGI, and its relationship on repurchase intention after make a variable through PCA. A total of 158 valid questionnaires were used, and IPA, independent sample t-test, regression analysis, and hierarchical controlled regression analysis were performed. The results showed that overall, external and internal selection factors had a positive influence on repurchase intentions, and in particular, appealing to internal and external selection factors in order to promote repurchase intention. Meanwhile, the Millennials were found to have no gender difference. Therefore, the company producing and selling high-involvement products suggests that it is necessary to make a priority effort to secure brand awareness, trust in product producers, store trust, and product self-reputation as components of internal selection factors. It was also concluded that more strategic efforts were needed to focus on and appeal to the characteristics of the Millennial itself rather than to consider gender differences.

목차
Abstract
 1. Introduction
 2. Literature Review
    2.1. Millennial Generation
    2.2. Highly Involvement Product Choice Attributes
    2.3. Repurchase Intention
    2.4. Gender Difference
 3. Research Methods, Materials and Research Design
    3.1. Research Methods and Materials
    3.2. Research Design
 4. Results and Discussion
    4.1. Results of PCA (Principal Component Analysis) on Product Attributes
    4.2. Reliability and Validity Analysis
    4.3. Correlation Analysis
    4.4. Results of IPA (Important-Performance Analysis)
    4.5. Results of Hypothesis Verification
 5. Conclusions
 References
저자
  • Young Ei KIM(Department of Business Administration, Seoul Digital University)
  • Hoe Chang YANG(Dept. of Distribution Management, Jangan University) Corresponding Author