본 연구에서는 인터넷 점포에서 의류상품 구매후기를 작성하는 동기의 유형을 규명하는 한편 작성 동기 유형에 따라 인터넷 점포 고객들을 범주화하고, 각 집단의 작성행동, 인터넷 구매 행동, 인구사회적 특성의 차이를 규명하였다. 초점집단 면접과 온라인 서베이를 통해 연구되었으며, 정량적 연구에서는 의류상품 구매후기를 읽은 경험과 작성한 경험이 많은 국내 인터넷 점포 여성 고객 252명을 대상으로 자료가 수집되었다. 연구결과, 인터넷 점포에서 구매후기를 작성하는 동기 유형은 이타적 정보 공유, 불만해소 및 보복, 경제적 보상 추구, 상품 개발 지원, 감동 표현으로 나타났다. 특히, 작성행동에 대한 영향력이 큰 동기는 이타적 정보 공유 동기와 경제적 보상 추구 동기였다. 인터넷 점포 고객은 작성동기 유형에 따라 소비자 옹호 집단, 이익 추구 집단, 중도적 집단으로 범주화되었으며, 세 집단은 구매후기 작성행동, 인터넷 구매빈도, 인구사회적 요인들에서 차별적 특성을 보였다. 소비자 옹호 집단과 이익 추구 집단을 대상으로 인터넷 점포 구전 채널 관리 방안이 제시되었다.
본 연구에서는 인터넷 점포에서 의류상품 구매후기를 작성하는 동기의 유형을 규명하는 한편 작성 동기 유형에 따라 인터넷 점포 고객들을 범주화하고, 각 집단의 작성행동, 인터넷 구매 행동, 인구사회적 특성의 차이를 규명하였다. 초점집단 면접과 온라인 서베이를 통해 연구되었으며, 정량적 연구에서는 의류상품 구매후기를 읽은 경험과 작성한 경험이 많은 국내 인터넷 점포 여성 고객 252명을 대상으로 자료가 수집되었다. 연구결과, 인터넷 점포에서 구매후기를 작성하는 동기 유형은 이타적 정보 공유, 불만해소 및 보복, 경제적 보상 추구, 상품 개발 지원, 감동 표현으로 나타났다. 특히, 작성행동에 대한 영향력이 큰 동기는 이타적 정보 공유 동기와 경제적 보상 추구 동기였다. 인터넷 점포 고객은 작성동기 유형에 따라 소비자 옹호 집단, 이익 추구 집단, 중도적 집단으로 범주화되었으며, 세 집단은 구매후기 작성행동, 인터넷 구매빈도, 인구사회적 요인들에서 차별적 특성을 보였다. 소비자 옹호 집단과 이익 추구 집단을 대상으로 인터넷 점포 구전 채널 관리 방안이 제시되었다.
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 ...
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=.
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=.
이와 같이 오프라인 환경에서의 구전 동기는 이타적 욕구(예: 타인 관여, 다른 사람들에 대한 배려, 이타주의), 정보 제공/공유 욕구 (예: 상품 관여, 관여), 감정 표현 욕구(예: 분노해소), 오락적 욕구(예: 메세지 관여, 오락적 이야기 거리), 자아 고양(예: 자아 관여, 자아 고양), 도움 지원/요청 욕구(예: 기업지원, 조언 요청) 등과 관련되었다. 온라인 환경에서의 구전 동기는 온라인 시스템 특성의 반영으로 오프라인 환경에서의 구전과 다를 수 있다.
온라인 구매후기는 무엇인가?
실제로 온라인 점포에 올려진 구매후기의 양이나 특성은 온라인 점포의 매출액과 긍정적 관계가 있는 것으로 보고되었다(예: Chevalier and Mayzlin 2006). 온라인 구매후기는 구매한 상품/서비스 자체에 대한 평가나 의견은 물론 구매 과정이나 사용 과정에서 느낀 긍정적/부정적 의견, 평가, 감정에 대해 이전 구매자가 인터넷 상에 올린 온라인 구전 정보이다. 여기서 온라인 구전(electronic word-of-mouth: e-WOM)은 소비자의 정보가 인터넷 매체를 통해 다른 소비자들에게 전달되는 것을 의미한다 (Hennig-Thurau et al.
Engel et al.(1993)는 구전 동기의 개념에 새로운 동기(인지 부조화 감소)를 추가하여 5개 유형의 전통적 구전 동기를 재구성 하였는데, 여기서 인지부조화 감소 동기는 무엇과 관련되는가?
(1993)은 이러한 구전 동기의 개념(Dichter 1966)에 새로운 동기(인지 부조화 감소)를 추가 하여 5개 유형의 전통적 구전 동기를 재구성하였다. 여기서 인지부조화 감소(dissonance reduction) 동기는 구매한 제품에 대해 다른 사람들과 의견을 나눔으로써 구매 후 느끼는 불안감을 줄이고 자신의 구매결정에 대한 확신감을 추구하고자 하는 욕구와 관련된다. 한편, Sundaram et al.
AI-Helper
※ AI-Helper는 부적절한 답변을 할 수 있습니다.