• 제목/요약/키워드: Customer Product Review

검색결과 208건 처리시간 0.026초

How to Measure Relationship Value in Principal-Retailer Context

  • PRASETYA, Prita;NAJIB, Mukhamad;SOEHADI, Agus W.
    • 유통과학연구
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    • 제19권1호
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    • pp.37-47
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    • 2021
  • Purpose: This study aims to review existing research on the definition, conceptualization, and measurement of relationship values to guide future research. This study specifically measures the relationship value between principals and retailers, which is still not widely discussed in previous research. Besides, to broaden our knowledge of the value-based determinants of competitive advantage, satisfaction, and retailer loyalty in business-to-business relationships. Research design, data, and methodology: This research assessed three alternative models of the relationship value construct's dimension structure and then tested for reliability, validity, and confirmatory factor analysis. The research sample is 185 retailers-data analysis using Structural Equation Modeling (SEM). Results: The results showed that product-based values and relationship-based values positively influenced competitive customer advantage, satisfaction, and loyalty. Conclusions: Relationship value construct can be measured and consist of five dimensions: product quality, delivery performance, customer orientation, service support, and personal interaction. They are key factors that maintain the relationship between principal and retailers. This study indicates that principals must invest more time and effort in building valuable relationships with their retailers. Finally, the value of relationships is a determinant of retailer performance: satisfaction and loyalty.

A Study on the Development of Railway Logistics Business Model and Track Capacity

  • GyuBae KIM;SungWook KANG
    • 유통과학연구
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    • 제21권9호
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    • pp.93-102
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    • 2023
  • Purpose: This study attempts to analyze the current status of the railway logistics business and to seek ways to improve it by using the business model as an analytical framework. It was intended to reflect practical implications that could be applied to the field, by dealing with issues at the industrial site related to each component in the business model. Research design, data and methodology: This study was conducted through literature review and field research. We analyzed academic papers and industrial reports on the development of the railway logistics industry and interviewed various stakeholders in the railway logistics industry. Results: This study determined the factors that could be eliminated, raised, reduced, or created from the customer and product perspective, infrastructure management perspective, and financial perspective. Conclusions: The growth of existing business can be achieved by lowering service prices, improving service quality, and securing large-scale transportation capacity. The additional transportation of high value goods and cold chain commodities will be promising business opportunities. Existing services can be provided to new customers (large pre-shippers, forwarding customers, etc.) in order to increase the size of sales Urban delivery services and comprehensive logistics services based on complex logistics centers may open an avenue for new market. A more timetable and track capacity need to be assigned to logistics, which significantly improve the flexibility and the competency of railway logistics.

한·중 대형마트 구매자 점포선택요인에 관한 비교연구 (A Study of the Effect of Store Selection factors on the Customer's Satisfaction and Revisit Intention)

  • 노정구;이지은;왕순순
    • 경영과정보연구
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    • 제33권5호
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    • pp.97-115
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    • 2014
  • 최근 한국과 중국의 대형마트시장의 경쟁이 치열해지면서 고객만족을 충족시키기 위해 점포속성, 제품속성, 서비스속성, 물리적 환경요인에 관한 연구가 이루어지고 있다. 이에 본 연구에서 한국과 중국 대형마트 구매자의 점포선택요인을 알아보고, 점포에 대한 고객만족과 재방문의도와의 영향관계를 분석하는 것을 목적으로 연구모형을 설계하였다. 또한 점포에 대한 중국과 한국의 고객만족과 재방문의도에 영향을 미치는 관계차이에 대해서도 알아보았다. 이에 따른 개념적 이해와 기존연구의 검토를 통해 가설을 설정하고 관련성 검증을 실시하였다. 실증분석을 위한 자료의 수집은 한국내 대형마트를 이용한 한국 소비자들과 중국내 대형마트를 이용한 중국인 소비자들 대상으로 자료를 수집하였으며 설정된 연구가설에 대해 구조방정식모형 분석을 통해 검증하였다.

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카테고리 킬러형 온라인 상점의 특성과 쇼핑태도에 대한 제품유형의 조절효과 (Moderating Effects of Product Types on the Relationship between Online Category Killer Store Characteristics and Shopping Attitudes)

  • 최재원;김성호;김경규
    • 지식경영연구
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    • 제15권4호
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    • pp.79-103
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    • 2014
  • This research investigates whether product types moderate the relationship between e-tailer characteristics and shopping attitudes in the context of online category killer stores. To identify the antecedents of consumer attitudes for category killer stores, the product types are characterized by the two dimensions of hedonic and utilitarian. A total of 268 responses were collected from consumers who experienced online category killer stores. The results show that the quality of information contained in a website, customer review, relational benefits, and the expertise of the e-tailer are important determinants for shopping attitudes of consumers. Regarding the moderating effects of product types, hedonic value significantly moderates the relationships between shopping attitudes and relational benefits/e-tailer expertise. However, utilitarian value does not significantly moderate the relationships between shopping attitudes and any of the e-tailer characteristics. Theoretical contributions of this study are the findings of moderating effects of hedonic value on the relationships between e-tailer characteristics and shopping attitudes. In addition, this study practically implies how companies can utilize these characteristics strategically for marketing and the selection of products.

프리코노믹스를 적용한 그린 IT 활성화 전략 (Green IT progressive strategies with Freeconomics)

  • 김도훈;홍영교
    • 한국시스템다이내믹스연구
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    • 제11권2호
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    • pp.103-118
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    • 2010
  • To reduce costs in general process, product quality degradation or lack of services are appeared. To improve these problems, dramatical solution of 'Freeconomics (Free+Economics) are discussed. Freconomics means, producers provide their products and services free of charge but they get customer's interests and reputations. Based on these customer's interests and reputations, producers generate profits with other services or related products. In this paper, we discuss about Green IT strategic plan with the management technique of Freeconomics. Green IT is called as Next-Generation growth engine to develop economy, so every country and industry hopes to develop it. With Freeconomcs, customers could get more quickly and much better use the Green IT products. So it is expected to spread of Green IT with Freeconomics as industry, country and customers are all satisfied.

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고객중심의 CRM 구축비교 사례연구 (Customer-Centric CRM Implementation Case Study)

  • 이호섭
    • 경영과정보연구
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    • 제23권
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    • pp.25-40
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    • 2007
  • In the highly competitive and divers world of financial market, customer is the single most important factor to company's survival. Especially, creating a relationship with valued customers is a key to success. CRM provides the mean to retain high value customers. It takes a prospect of what customers expect. Utilizing those knowledge can help the products and service meet the customers' needs, thereby maximizing customer satisfaction and company's profit. In this report, I am going to suggest a few ways to develop successful CRM in the life insurance industry. First, CRM should innovate the way of communication to keep pace with Web 2.0 era. In other words, the customer's needs should be caught by real-time communication than traditional off-line market research. Thus, the functionality and specification of products can be decided by customer's direct choice so that the customers are able to purchase the understanding and experience of the products. Second, CRM project should consider whether the initial strategy plan can promise the stable growth of customer at the first step. When planning strategy, the project needs to identify what customer wants and how to fulfill the needs with stable growth of the customer. In addition, the CRM should be developed by realizing that customer centric benefits ultimately guarantee the growth of the organization. Third, CRM systems should enhance the organization's ability to take the customer's insight in a 360 degree view and to capture the voice of the customer directly. In order to develop the best matched product package, more precise customer segmentation should be ahead of market segmentation strategy. Forth, the biggest reward from CRM will be a customer royalty program. Many successful banks are already planning and practicing customer royalty strategy. A comprehensive analysis of customers and their behavior allow organization to identify high value potential customers' needs and determine a strategy required to meet those needs. Even life insurance companies such as Prudential Korea are developing products designed for royal customers. Fifth, understanding and managing the experience of customer called Customer Experience Management also can increase customer satisfaction. Measuring only customers' experience and adapting it to marketing strategy make products position in the gap between the customers' expectation and experience not required by market. A key component of CEM is its application across all organizational functions. At last, the direction of change and development of CRM can be defined from the conceptualization of information technology represented by Ubiquitous and Web 2.0. Instead of just managing customer information, companies should take the initiative in personalized system with customer oriented strategy. Furthermore, with the regular communication between CRM stakeholders (Sales-Marketing-IT), customer's demand should be directly reflected to enterprise strategy in real time.

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온라인 구매후기에 나타난 소비자의 비건 패션제품 평가 차원 (Evaluation of Vegan Fashion Products by Consumers in Online Review)

  • 정지운;윤소정
    • 한국의류산업학회지
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    • 제25권4호
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    • pp.419-428
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    • 2023
  • This study examines customer reviews from online stores of Korean vegan fashion brands to determine the qualities that customers value in vegan fashion items. For this purpose, we conducted a case study of online reviews-2,285 reviews were collected and analyzed. The results are as follows: The clothing evaluation criteria for vegan fashion products can be divided into four categories: aesthetics, material characteristics, affordability, and characteristics. This suggests that evaluation standards for vegan fashion items operate at multiple levels. The animal welfare aspect of the product was the most important factor, followed closely by how well the clothes fit. High-quality vegan materials and the use of recycled materials that are environmentally friendly were emphasized. The findings of this study suggest that even for vegan products, stylistic features remain an essential component of fashion items. To understand the main aspects of clothing evaluation criteria in the current vegan fashion market, this study differs from other studies in that it examined online reviews of vegan fashion brands. This comprehensive analysis contributes to a deeper understanding of customer preferences and highlights the importance of ethical considerations alongside style in the evaluation of vegan fashion items, providing valuable insights for the industry. Moving forward, this study is significant in suggesting that vegan fashion brands should develop their products as well as their brands, capitalizing on the demand for ethically conscious and stylish options.

추천기법별 고객 선호도 및 영향요인에 대한 분석: 전자제품과 의류군에 대한 비교연구 (An Analysis of Customer Preferences of Recommendation Techniques and Influencing Factors: A Comparative Study of Electronic Goods and Apparel Products)

  • 박윤주
    • 경영정보학연구
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    • 제18권2호
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    • pp.59-77
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    • 2016
  • 전자상거래 시장에서는 점차 다양한 추천기법들이 적용되고 있으나, 고객 관점에서 이에 대한 사용의도를 비교 분석한 연구는 매우 드물다. 본 연구는, 온라인 쇼핑몰에서 널리 활용되고 있는 베스트셀러 추천, MD(Merchandiser)추천, 내용기반 추천, 협업필터링 추천, 그리고 지인추천 등의 다섯 가지 추천기법들에 대한 고객의 사용의도를, 전자제품군 구매 시와 의류군 구매 시에 대해서 비교 분석하였다. 이와 더불어, 어떠한 요소들이 고객의 추천서비스 사용의도에 영향을 미치는지에 대한 연구를 수행하였다. 이를 위해, 추천서비스 사용경험이 있는 전자상거래 사용자 총 220명을 대상으로 설문조사를 수행한 후, 분산분석(ANOVA), 회귀분석 등을 사용하여 데이터 분석을 수행하였다. 본 연구결과, 추천기법에 따른 고객의 추천서비스 사용의도에는 통계적으로 유의한 차이가 있으며, 특히 전자제품군 구매 시에는 베스트셀러 추천기법이, 의류군 구매 시에는 내용기반의 추천기법이 가장 선호되는 것으로 나타났다. 또한, 고객의 인물특성, 성격요인, 구매성향, 구매하려는 제품에 대한 인식 및 추천서비스에 대한 인식 등이 추천서비스 사용의도에 영향을 미치는 것으로 나타났으나, 세부적인 영향요소들은 추천기법별로 상이하게 도출되었다. 이러한 연구는 기업들에게 제품군 및 개인의 성향에 적합한 기법을 채택하여 추천서비스를 수행할 수 있도록 하는 가이드라인(guideline)을 제시해 줄 수 있을 것으로 기대된다.

다수의 마켓 세그먼트 하에서 품질기능전개 시(時) 기술특성들의 최적 값을 결정하기 위한 혼합정수계획모형 (Mixed Integer Linear Programming Model to Determine the Optimal Levels of Technical Attributes in QFD under Multi-Segment Market)

  • 양재영;유재욱
    • 경영과학
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    • 제33권2호
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    • pp.75-87
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    • 2016
  • Quality function deployment (QFD) is a widely adopted customer-oriented product development methodology by analyzing customer requirements. It is a main activity in QFD planning process to determine the optimal values of the technical attributes (TAs) so as to achieve the customer requirements (CRs) from the House of Quality (HoQ). In most of the previous research, all the TAs in QFD are assumed to have either continuous or discrete values. In the real world applications, the continuous TAs and the discrete TAs are often mixed in QFD. In this paper, a mixed integer linear programming model is formulated to obtain the optimal values for the continuous TAs and the discrete TAs in QFD planning as well as Branch and Bound (B and B) algorithm is proposed as the solution approach. Finally, the proposed model and solution approach are illustrated with an office chair under multi-segment market, and the sensitivity analysis is performed to study how the proposed model and its solutions respond to the variation for the two elements which are budget and CRs' weights.

대형할인매점의 요일별 고객 방문 수 분석 및 예측 : 베이지언 포아송 모델 응용을 중심으로 (Estimating Heterogeneous Customer Arrivals to a Large Retail store : A Bayesian Poisson model perspective)

  • 김범수;이준겸
    • 경영과학
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    • 제32권2호
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    • pp.69-78
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    • 2015
  • This paper considers a Bayesian Poisson model for multivariate count data using multiplicative rates. More specifically we compose the parameter for overall arrival rates by the product of two parameters, a common effect and an individual effect. The common effect is composed of autoregressive evolution of the parameter, which allows for analysis on seasonal effects on all multivariate time series. In addition, analysis on individual effects allows the researcher to differentiate the time series by whatevercharacterization of their choice. This type of model allows the researcher to specifically analyze two different forms of effects separately and produce a more robust result. We illustrate a simple MCMC generation combined with a Gibbs sampler step in estimating the posterior joint distribution of all parameters in the model. On the whole, the model presented in this study is an intuitive model which may handle complicated problems, and we highlight the properties and possible applications of the model with an example, analyzing real time series data involving customer arrivals to a large retail store.