The purpose of this study was to compare and analyze the importance and satisfaction of consumer selective attributes by home meal replacement (HMR) types using local ingredients. This study was conducted from December 4 to December 8, 2020. A total of 380 responses organized according to preferred types of HMR (100 for Ready to Eat (RTE), 92 for Ready to Heat (RTH), 88 for Ready to Cook (RTC), 100 for Ready to Prepared (RTP) were used for the final analysis. Statistical analysis was conducted by descriptive analysis, paired t-test, and importance-satisfaction analysis by HMR type. Findings of this study showed significant differences in consumer selective attributes by HMR type. RTE and RTC need to improve quality while RTH needs to improve quality and packaging. Notable selective attributes were quality, packaging, and information. They were located in different quadrants of each HMR type. All other attributes appeared in the same quadrant. Further research is needed to determine differences in quality, packaging, and information for each HMR type. Results of this study provide basic data for developing products and marketing strategies for each type of HMR products using local ingredients.
The purpose of the study was to compare two different MBTI personality types by evaluating the influence of perceived risk on brand and store loyalty and purchase intention. 340 questionnaires were used for the analysis. For statistical analysis, SPSS 20.0 and AMOS 20.0 were performed, and frequency tests, reliability analyses and Structural Equation Modeling were used. The results of SEM analysis, confirmed that one question of brand loyalty and one question of store loyalty were inappropriate for this study. Thus, these two questions were removed and the research model was modified. To determine the goodness of fit of the research model, convergent validity was tested. Most items fell into the goodness of fit, and the average coefficient was fulfilled. According to the results of a path coefficient analysis for the Judging type, perceived risk has a significant influence on brand loyalty and brand loyalty also affected store loyalty. Furthermore, brand loyalty and store loyalty have a significant effect on purchase intentions, but perceived risk did not affect brand loyalty for the Perceiving type. Brand loyalty influences store loyalty and purchase intentions, but store loyalty did not influence purchase intentions. As a result of this study, it is concluded that considering consumers' personality types is critical to developing strategies that enhance brand loyalty.
The current study aims to segment Chinese female consumers using their lifestyle dimensions in the cosmetics market, and analyze their cosmetics purchasing behavior based on that segmentation. Specifically, lifestyle groups were examined to see if there is any group difference(s) in consumer behavior for Korean cosmetics. Lifestyle groups were examined based on: consumers’ demographic characteristics, perceived brand attributes, loyalty toward Korean cosmetics, usage of Korean cosmetics products, preferred stores of shopping for Korean cosmetics, and use of information sources in purchase decisions. An online survey was administered to female consumers who live in Beijing and Shanghai. A total of 493 surveys were used for data analyses. The results of the study were as follows: First, factor analysis revealed 11 significant lifestyle dimensions. Second, using these 11 lifestyle dimensions, cluster analysis was conducted, which revealed four distinct groups of consumers: (1) “timid inactive group,” characterized by having low scores in most lifestyle dimensions; (2) “showcase goers,” who tend to be highly fashion/appearance-conscious and brand-oriented; (3) “practical buyers,” who tend to be price-conscious, sensitive and timid; and (4) “sensible buyers,” who enjoy finer meals and wellbeing lifestyles, as well as hardworking in everything and impulse-buy things. Third, consumer behavior of purchasing Korean cosmetics brands were examined; significant differences among the four lifestyle groups were found. The study concludes with a discussion of the results and practical implications.