• Title/Summary/Keyword: 여성 소비자 유형

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Motives for Writing After-Purchase Consumer Reviews in Online Stores and Classification of Online Store Shoppers (인터넷 점포에서의 구매후기 작성 동기 및 점포 고객 유형화)

  • Hong, Hee-Sook;Ryu, Sung-Min
    • Journal of Distribution Research
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    • v.17 no.3
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    • pp.25-57
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    • 2012
  • This study identified motives for writing apparel product reviews in online stores, and determined what motives increase the behavior of writing reviews. It also classified store customers based on the type of writing motives, and clarified the characteristics of internet purchase behavior and of a demographic profile. Data were collected from 252 females aged 20s' and 30s' who have experience of reading and writing reviews on online shopping. The five types of writing motives were altruistic information sharing, remedying of a grievance and vengeance, economic incentives, helping new product development, and the expression of satisfaction feelings. Among five motives, altruistic information sharing, economic incentives, and helping new product development stimulate writing reviews. Store customers who write reviews were classified into three groups based on their writing motive types: Other consumer advocates(29.8%), self-interested shoppers(40.5%) and shoppers with moderate motives(29.8%). There were significant differences among three groups in writing behavior (the frequency of writing reviews, writing intent of reviews, duration of writing reviews, and frequency of online shopping) and age. Based on results, managerial implications were suggested. Long Abstract : The purpose of present study is to identify the types of writing motives on online shopping, and to clarify the motives affecting the behavior of writing reviews. This study also classifies online shoppers based on the motive types, and identifies the characteristics of the classified groups in terms of writing behavior, frequency of online shopping, and demographics. Use and Gratification Theory was adopted in this study. Qualitative research (focus group interview) and quantitative research were used. Korean women(20 to 39 years old) who reported experience with purchasing clothing online, and reading and writing reviews were selected as samples(n=252). Most of the respondents were relatively young (20-34yrs., 86.1%,), single (61.1%), employed(61.1%) and residents living in big cities(50.9%). About 69.8% of respondents read and 40.5% write apparel reviews frequently or very frequently. 24.6% of the respondents indicated an "average" in their writing frequency. Based on the qualitative result of focus group interviews and previous studies on motives for online community activities, measurement items of motives for writing after-purchase reviews were developed. All items were used a five-point Likert scale with endpoints 1 (strongly disagree) and 5 (strongly agree). The degree of writing behavior was measured by items concerning experience of writing reviews, frequency of writing reviews, amount of writing reviews, and intention of writing reviews. A five-point scale(strongly disagree-strongly agree) was employed. SPSS 18.0 was used for exploratory factor analysis, K-means cluster analysis, one-way ANOVA(Scheffe test) and ${\chi}^2$-test. Confirmatory factor analysis and path model analysis were conducted by AMOS 18.0. By conducting principal components factor analysis (varimax rotation, extracting factors with eigenvalues above 1.0) on the measurement items, five factors were identified: Altruistic information sharing, remedying of a grievance and vengeance, economic incentives, helping new product development, and expression of satisfaction feelings(see Table 1). The measurement model including these final items was analyzed by confirmatory factor analysis. The measurement model had good fit indices(GFI=.918, AGFI=.884, RMR=.070, RMSEA=.054, TLI=.941) except for the probability value associated with the ${\chi}^2$ test(${\chi}^2$=189.078, df=109, p=.00). Convergent validities of all variables were confirmed using composite reliability. All SMC values were found to be lower than AVEs confirming discriminant validity. The path model's goodness-of-fit was greater than the recommended limits based on several indices(GFI=.905, AGFI=.872, RMR=.070, RMSEA=.052, TLI=.935; ${\chi}^2$=260.433, df=155, p=.00). Table 2 shows that motives of altruistic information sharing, economic incentives and helping new product development significantly increased the degree of writing product reviews of online shopping. In particular, the effect of altruistic information sharing and pursuit of economic incentives on the behavior of writing reviews were larger than the effect of helping new product development. As shown in table 3, online store shoppers were classified into three groups: Other consumer advocates (29.8%), self-interested shoppers (40.5%), and moderate shoppers (29.8%). There were significant differences among the three groups in the degree of writing reviews (experience of writing reviews, frequency of writing reviews, amount of writing reviews, intention of writing reviews, and duration of writing reviews, frequency of online shopping) and age. For five aspects of writing behavior, the group of other consumer advocates who is mainly comprised of 20s had higher scores than the other two groups. There were not any significant differences between self-interested group and moderate group regarding writing behavior and demographics.

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Meal kit purchasing behavior and relationship with the nutrition quotient of young adults in Chungnam (충남 일부지역 젊은 성인의 밀키트 구매행태 및 영양지수와의 관련성)

  • Lee, Eun-Young;Kim, Yu-Mi;Choi, Mi-Kyeong
    • Journal of Nutrition and Health
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    • v.54 no.5
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    • pp.534-546
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    • 2021
  • Purpose: This study aimed at understanding meal kit purchasing behavior and investigating its relationship with the Nutrition Quotient (NQ) of young adults. Methods: We conducted a survey on adults in their 20s and 30s covering their meal kit purchase experience, satisfaction, recognition, and purchase intention, and examined the relationship between the meal kit purchase and their NQ from February to March 2021. Results: Among the 404 subjects, 37.9% of males and 48.0% of females had experience in purchasing a meal kit (p < 0.001). The highest response indicated that the purchase cost of meal kits was 10,000-20,000 Won at a time, and the frequency of purchase was less than once a month. The convenience of cooking was the main reason for the purchase of meal kits, which were consumed mainly in the evening with family. The satisfaction with the purchase experience of a meal kit was rated 3.6 points for males and 3.7 points for females out of 5 points, and the satisfaction experienced by women was significantly higher than men in terms of freshness of ingredients, packaging design, and adequacy of the quantity of content (p < 0.05). Recognition of the meal kit was rated 3.5 points for males and 3.7 points for females out of 5 points. The purchase intention of the meal kit was rated 3.8 points for those with prior purchase experience, 3.2 points for the non-experienced, 3.3 points for males, and 3.6 points for females out of 5 points each (p < 0.001). The NQ score of dietary behavior in females with experience of meal kit purchases was significantly higher than non-experience (p < 0.05). Conclusions: The dietary behavior of female showed a significant difference by the meal kit purchase experience. It is necessary to understand the consumers' meal kit purchasing behavior to enable the development of various health-oriented meal kit products.

Discovering Customer Service Cool Trends in e-Commerce: Using Social Network Analysis with NodeXL (e-커머스 기업의 고객서비스 쿨트랜드 발견: 사회네트워크분석 NodeXL 활용)

  • Lee, Chang-Gyun;Sung, Min-June;Lee, Yun-Bae
    • Information Systems Review
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    • v.13 no.1
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    • pp.75-96
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    • 2011
  • This research uses coolhunting to predict the future trend of e-Commerce industry. Coolhunting is a method to take Cool Trends which are the future trend through social network analysis for discovering the trendsetter and its collective intelligence. Coolhunting is generally carried out by social network analysis while this research uses NodeXL of social network analysis tools. We designed industrial network research model for relation among e-Commerce corporation, product, the types of customer service and customer service employee to discover the Cool Trends of e-Commerce industry. According to the result of this research, e-Commerce industrial network was being changed from chaos to collective intelligence form. As a analysis result for network influences, we found that Cool Trends of e-Commerce industry invigorate social commerce industry through the collective intelligence focusing intelligence VIP, Excellence, grade of Administrating for women customers(trendsetter) and it promotes semantic consumption from customers and purchasing power will be concentrated on cosmetic, beauty, perfume product categories in social commerce. We propose the strategic direction for e-Commerce corporation and hope that domestic e-Commerce corporation continues to grow and high-quality services are provided for customers.

Differences Between Wearing Styles and Preferring Styles and the Sensibility According to Men's Fashion Style (남성복의 감성 및 선호 스타일과 실제 착용간의 차이)

  • Rim, Byungmook;Lee, Janghyung;Kim, Jisu;Na, Youngjoo
    • Science of Emotion and Sensibility
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    • v.19 no.4
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    • pp.71-82
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    • 2016
  • As times change rapidly the lifestyle, personality, and values of men have changed diversely. Not only have preferences for men's clothing changed, men's fashion market has also grown, and novel, non-preexisting styles have come into place. Also, there are many studies on sensibility of women's fashion while studies on sensibility of men's fashion are insufficient. This study categorized common styles for men in their 20s into 7 different representative samples and investigated consumers' sensibility evaluations for each representative sample. Style 1 (suit), style 2 (rider jacket + skinny pants), style 3 (blouson + straight pants), style 4 (cardigan + half pants), style 5 (military jacket + straight pants), style 6 (loose fit jacket + skinny pants), and style 7 (baseball jumper + straight pants) were prepared in the evaluation questionnaire. The study compared male and female interest and knowledge of men's fashion, evaluated the sensibility difference depending on the men's fashion, analyzed whether there is a difference between preferred men's clothing and actual wearing of the clothing, and examined the preferred style in relation with the lifestyle. The results are as follows: First, men's fashion was diversified and subdivided, and interest and knowledge about men's fashion was greater for males than females. Second, sensibility of men's fashion had significant differences depending on the style, and it did not depend on genders. Third, there was a clear difference between the most favored style by the 20s and the actual style they commonly wear; the favored style and the actual worn style were consistent 66.1% of all the cases, inconsistent 33.9% of those. Style 3 had the highest preference and the actual wearing rate, and style 5 was the least preferred and worn. Fourth, the more extroverted lifestyle rather than introverted one, the more it was likely to prefer diverse styles.