• Title/Summary/Keyword: Customer Product Review

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A Study on the Effects of Price Discount, Product Review, and Perceived Risk and their Interaction Effects in Social Commerce (소셜 커머스에서 가격할인, 상품후기, 지각된 위험의 영향과 상호작용에 관한 연구)

  • Bang, Jounghae;Qian, Chen;Kim, Min Sun;Lee, Eun Hyung
    • Knowledge Management Research
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    • v.14 no.4
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    • pp.87-98
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    • 2013
  • Along with the recent development of Social Network Service (SNS), such as Facebook and Twitter, social commerce market is expanding rapidly. As much, understanding consumers' purchase intention in social commerce becomes important. This study attempted to investigate the factors of consumers' purchase intention, and the effects of these determinants(price discount, perceived risk and product review) on consumer's purchasing intension in social commerce networks. Also, the interaction effects between these factors on consumer's purchasing intension were studied. The results showed that the effect of perceived risk on consumer's purchase intention found to be significantly negative. The interaction effect between price discount and perceived risk, and the interaction effect between price discount and review were meaningful on consumers' purchase intention. It indicates that the important factor for consumers to purchase products in social commerce is not just price discount but perceived risk, and that review which consumers think is manipulated has negative effect on purchase intention.

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A Study on the Enhancing Recommendation Performance Using the Linguistic Factor of Online Review based on Deep Learning Technique (딥러닝 기반 온라인 리뷰의 언어학적 특성을 활용한 추천 시스템 성능 향상에 관한 연구)

  • Dongsoo Jang;Qinglong Li;Jaekyeong Kim
    • Journal of Intelligence and Information Systems
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    • v.29 no.1
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    • pp.41-63
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    • 2023
  • As the online e-commerce market growing, the need for a recommender system that can provide suitable products or services to customer is emerging. Recently, many studies using the sentiment score of online review have been proposed to improve the limitations of study on recommender systems that utilize only quantitative information. However, this methodology has limitation in extracting specific preference information related to customer within online reviews, making it difficult to improve recommendation performance. To address the limitation of previous studies, this study proposes a novel recommendation methodology that applies deep learning technique and uses various linguistic factors within online reviews to elaborately learn customer preferences. First, the interaction was learned nonlinearly using deep learning technique for the purpose to extract complex interactions between customer and product. And to effectively utilize online review, cognitive contents, affective contents, and linguistic style matching that have an important influence on customer's purchasing decisions among linguistic factors were used. To verify the proposed methodology, an experiment was conducted using online review data in Amazon.com, and the experimental results confirmed the superiority of the proposed model. This study contributed to the theoretical and methodological aspects of recommender system study by proposing a methodology that effectively utilizes characteristics of customer's preferences in online reviews.

The Effects of Fashion Product Salesperson's Emotional Labor, Self-Efficacy and Burnout on Customer-Oriented Selling Behavior (패션 제품 판매원의 감정 노동과 자기효능감 및 탈진감이 고객지향적 판매 행동에 미치는 영향)

  • Lee, Kyung-Bok;Chung, Myung-Sun
    • The Research Journal of the Costume Culture
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    • v.16 no.1
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    • pp.33-47
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    • 2008
  • The purposes of this study were to extract the effects of emotional labor, self-efficacy and burnout on customer-oriented selling behavior of salesperson by literature review and to examine the effect variables on customer-oriented selling behavior empirically. The questionnaire was administered to 400 salespersons who were selling clothes, cosmetics, shoes, leather products and accessories in department stores located in Kwang-ju city during August 18-24, 2006. Data collected from 307 salespersons were analyzed by using descriptive statistics, factor analysis, t-test, ANOVA, Duncan-test, correlation, regression analysis and path analysis. The results were as follows: First, Salesperson's emotional labor was composed of two factors; emotional labor toward the customer and emotional labor toward the organization. Second, Salesperson's emotional labor had negative significant influence on customer-oriented selling behavior. Specifically, the emotional labor toward the organization negatively influenced on customer-oriented selling behavior, but the emotional labor toward the customer positively influenced on customer-oriented selling behavior. Third, Salesperson's emotional labor positively influenced on burnout. Specifically, emotional labor toward organization significantly influenced on burnout, but emotional labor toward customer did not influenced on burnout. Fourth, Salesperson's self-efficacy positively influenced on customer-oriented selling behavior. Fifth. Salesperson's self-efficacy negatively influenced on burnout. Finally, Salesperson's burnout negatively influenced on comer-oriented selling behavior. The direct effect of salesperson's self-efficacy on customer-oriented selling behavior was large than the indirect effect of salesperson's self-efficacy mediate burnout. But the indirect effect of salesperson's emotional labor mediate burnout was large than the direct effect of salesperson's emotional labor on customer- oriented selling behavior.

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Online Product Planning in a Fashion Brand -Focused on the Brand of Women's Clothing Run by the Company's Mall- (패션브랜드의 온라인 상품기획 -자사몰 운영의 여성복 브랜드를 중심으로-)

  • Lee, Soojin;Lee, Keumhee
    • Journal of Fashion Business
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    • v.24 no.3
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    • pp.69-84
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    • 2020
  • The purpose of this study is to analyze examples of online fashion product planning of domestic fashion brands, to grasp the characteristics and step-by-step problems in product planning, and to suggest product planning methods. This study consists of a literature study and a case study. The results of th study are as follows. First, in the information analysis and product planning, product planning according to analysis and targeting of online consumers should be conducted separately from offline, and the proportion of online-only products should be expanded. Second, in the design planning and product development stages, it should be possible to secure the quantity through the pre-planning of fabrics, a to acquire the novelty of the material through the preemption of good fabrics and the pre-planning of colors to secure competitive design. Third, in the convention, a systematic review process involving company members and customer review teams should be conducted to ensure product quality and sales-ability Fourth, in the production stage, the production period must be to reduce cost. Fifth, differentiated services according to the characteristics of their products for each brand in the promotion and sales stages. Based on this analysis, a desirable approach online product planning should first run promotion phase, increasing pre-planning for the product, and organizing specialize work and manpower issues.

Determination of engineering characteristic values by quality function deployment (품질 기능 전개를 통한 대용 특성값의 결정 방법)

  • 변은신;염봉진
    • Korean Management Science Review
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    • v.13 no.3
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    • pp.91-104
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    • 1996
  • The basic idea of Quality Function Deployment(QFD) is to deploy the voice of customers into the final product through product planning, part planning, process planning, and manufacturing. In the product planning stage, which is the first stage of product development, customer attributes(CAs) are translated into engineering characteristics(ECs). Then, based on the relationship between CAs and ECs, the target values of ECs are determined. In the previous research, the process of analyzing these relationships is mostly subjective in nature. In this article, we formulate the process of determining the target values of ECs as an optimization model. That is, we first determine the relationship between CAs and ECs as cumulative logit models and construct constraints into which the company strategy as well as the needs of customers can be incorprated. Next, cost functions of ECs are developed, which are summed into an objective function. An algorithm to solve the formulated optimization problem is developed and illustrated with an example.

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A Study on Selection Determinant Factor in the China Market Entry of Korean Manufacture Firms (한국 제조업체의 중국시장 진입유형 선택 결정요인에 관한 연구)

  • Lee, Je-Hong
    • International Commerce and Information Review
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    • v.10 no.4
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    • pp.417-437
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    • 2008
  • Korean firms have had a short history of foreign direct investment and export in China market entry. This present study empirically analyzed determinants of the choice of foreign market entry modes, Particularly forcusing on the China market entry on Korean manufacture firms. This study developed a research model to determinant factor in the China market entry and collected 77 survey responses from the Korean manufacture firms. This study model construct in the third factor, China market character, company character and product character. In China market character, the variance are China trade barrier, culture different, competition power. The variance in company character are internationalization experience, enterprise rage and entry motivation. Also the variance in product character are product different, customer service and cost advantage. It is researcher's main interest that which type of China market entry format brought most positive evaluation form the Korean manufacture firms. therefor, these research results turned out to be different a little both export and direct investment in China market of Korean manufacture firms.

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A Study on the development quality control by application of QFD and Stage-gate in defense system (QFD 및 Stage-gate 모델을 활용한 국방분야 개발단계 품질관리 방안 연구)

  • Jang, Bong Ki
    • Journal of Korean Society for Quality Management
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    • v.42 no.3
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    • pp.279-290
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    • 2014
  • Purpose: The purpose of this study is to propose adoption of QFD and Stage-gate in order to analyze the quality of korea defense system. Methods: Drawing change data of initial production phase in korea defense system were anlayzed and a practical method was proposed. Results: The results of this study are as follows; Off line Quality Control should be introduced in development phase. Specially, in case of defense system, the best method is QFD(Quality Function Deployment) and Stage-gate process. At first, QFD 1 step defines product planning from VOC(Voice Of Customer), QFD 2 step specifies part planning from product planning, QFD 3 step defines process planning from part planning, QFD 4 step defines production planning from previous process planning. Secondly, Stage-gate process is adopted. This study is proposed 5 stage-gate in case of korea defense development. Gate 1 is located after SFR(System Function Review), Gate 2 is located after PDR(Preliminary Design Review), Gate 3 is located after CDR(Critical Design Review), Gate 4 is located after TRR(Test Readiness Review) and Gate 5 is located before specification documentation submission. Conclusion: Off line QC(Quality Control) in development phase is necessary prior to on line QC(Quality Control) in p roduction phase. For the purpose of off line quality control, QFD(Quality Function Deployment) and Stage-gate process can be adopted.

Antecedents to Improve Customer Satisfaction and Loyalty of Department Store (백화점의 고객만족 및 충성도 제고를 위한 선행요인에 관한 연구)

  • Kim, Youn-Hwan;Kang, Myong-Ju
    • Management & Information Systems Review
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    • v.31 no.1
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    • pp.65-88
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    • 2012
  • The reason customer satisfaction has been considered importantly in previous researches is that customer satisfaction can lead repurchase and loyalty. For a department store which tries to differentiate from other retailing stores by providing prestige services with customers, customer satisfaction is an essential element for keeping customer loyalty. Previous researches had mentioned only marketing mix to explain the customer satisfaction of department store. However, this paper would like to examine that differential services of department store can have an effect on the customer satisfaction, as well as marketing mix. As results, place(location) variable and promotion variable of four marketing mix influenced on the customer satisfaction significantly. The rest of marketing mix, product and price, were not confirmed statistically. Most of all, as an additional variable, service can have an strong effect on the customer satisfaction positively. Therefore, department store need to consider not only marketing mix but also service variable when building marketing strategies.

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Korean Customer Attitudes Towards SNS Shopping

  • Cho, Young-Sang;Heo, Jeong-Yoon;Youn, Myoung-Kil
    • Journal of Distribution Science
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    • v.10 no.8
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    • pp.7-14
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    • 2012
  • As a new format of retailing, social shopping on SNS has rapidly grown in recent. Although there is much literature associated with customer behaviours in the academic world, little attention has been paid to identifying the shopping patterns of SNS shoppers. This paper will, thus, identify how perceived value has an impact on the buying intention of SNS shoppers, after illustrating what kind of factor influences the formation process of perceived value in the Korean marketplace. Given that SNS shoppers are for the most part 20s as well as 30s, the authors handed out questionnaires to them. Furthermore, based on literature review results, the conceptualised research model was developed. Despite lack of literature, the authors developed five constructs like price reduction, quantity- and time-limited message, product ranges, information-sharing, and required number of shoppers. The researchers made a considerable effort to identify the relationship between research concepts and each variable, based on a few research analysis methods such as frequency analysis, the Varimax rotation technique used orthogonal rotation, Cronbach's Alpha, PCA (Principle Component Analysis), and the like. Amongst the 5 variables used to measure the degree of influences on the perceived value as a social shopping characteristic, it has been evident that price cut, required minimum shoppers, product variety, and information-sharing have a positive impact on the perceived value formation processes of SNS customers. Also, this research implies that SNS retailers can differentiate themselves from other retailers by differently using the above factors. From a practitioner's point of view, these factors should be strategically used to increase the social shopping opportunities of SNS users. It is, furthermore, evident that the perceived value formed by the above 4 factors have played an important role in the buying decision process of SNS customers. In a sense, whether customers are aware of higher price cut rates, information-sharing, required minimum shoppers, and product variety has a positive impact on making buying decisions. From a retailer's point of view, online shopping mall operators are able to use blog as well as twitter to improve the buying intention as a marketing tool of social network, because the business activities provided by social shopping retailers, like the rapid, accurate responses to customer requirements, the provision of a variety of information, and the communications between customers are closely related to buying intentions. There are a few research limitations to conduct this empirical research. It was not easy to review prior papers, due to its lack. In spite of the increasing number of SNS shoppers in Korea, little research attention has been paid to this kind of research topic by academicians, because buying products or services through SNS is in its infancy. With regard to research populations, it would be difficult to generalise the research findings in Korea, owing to unbalanced respondent distribution. Considering the above research limitations as well as the growth of social shopping, many authors should pay considerable attention to SNS-related issues in the future, and develop the more sophisticated criteria to measure the characteristics of SNS shoppers.

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The Key Success Factors of Design-oriented New Product Development Strategy : A Case Study of Chocolate-Phone (디자인 중심 신제품 개발 전략의 성공 요인 : 초콜릿 폰 개발 사례를 중심으로)

  • Ryu, Sung-Il;Kim, Jin-Woo;Jang, Seong-Keun
    • Korean Management Science Review
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    • v.24 no.1
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    • pp.1-24
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    • 2007
  • The function of product design has been an important part for success on new product development. We deeply studied 'Chocolate-Phone' case which is considered as a representative of adopting design-oriented new product development strategy. According to this study, we found three contextual factors and nine key success factors for design-oriented new product development. The contextual factors consist of the strong needs for innovative product development, customer's needs for the emotional value, competitive situation for the new product launching. The key success factors consist of design, development, marketing, overall sides. The key success factors of design side are to select talented designers and take an insight for market and communication skill. The key success factors of development side are to possess high technological abilities, to do divergence with removing or giving up some function, management's strong support. The key success factors of marketing side are to bring core marketers from outside, capacity to gather ideas from outside. The key success factors of overall side are to share design-oriented principle with other functions and to change member's mind from engineer-oriented to market-oriented.