• 제목/요약/키워드: Customer Product Review

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제품 사용 기간을 반영한 기계학습 기반 사용자 평가 변화 예측 모델 (Machine Learning-based model for predicting changes in user evaluation reflecting the period of the product)

  • 부현경;김남규
    • 디지털산업정보학회논문지
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    • 제19권1호
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    • pp.91-107
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    • 2023
  • With the recent expansion of the commerce ecosystem, a large number of user evaluations have been produced. Accordingly, attempts to create business insights using user evaluation data have been actively made. However, since user evaluation can change after the user experiences the product, it is difficult to say that the analysis based only on reviews immediately after purchase fully reflects the user's evaluation of the product. Moreover, studies conducted so far on user evaluation have overlooked the fact that the length of time a user has used a product can affect the user's product evaluation. Therefore, in this study, we build a model that predicts the direction of change in the user's rating after use from the user's rating and reviews immediately after purchase. In particular, the proposed model reflects the product's period of use in predicting the change direction of the star rating. However, since the posterior information on the duration of product use cannot be used as input in the inference process, we propose a structure that utilizes information about the product's period of use using an auxiliary classifier. As a result of an experiment using 599,889 user evaluation data collected from the shopping platform 'N' company, we confirmed that the proposed model performed better than the existing model in terms of accuracy.

Too Much Information - Trying to Help or Deceive? An Analysis of Yelp Reviews

  • Hyuk Shin;Hong Joo Lee;Ruth Angelie Cruz
    • Asia pacific journal of information systems
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    • 제33권2호
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    • pp.261-281
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    • 2023
  • The proliferation of online customer reviews has completely changed how consumers purchase. Consumers now heavily depend on authentic experiences shared by previous customers. However, deceptive reviews that aim to manipulate customer decision-making to promote or defame a product or service pose a risk to businesses and buyers. The studies investigating consumer perception of deceptive reviews found that one of the important cues is based on review content. This study aims to investigate the impact of the information amount of review on the review truthfulness. This study adopted the Information Manipulation Theory (IMT) as an overarching theory, which asserts that the violations of one or more of the Gricean maxim are deceptive behaviors. It is regarded as a quantity violation if the required information amount is not delivered or more information is delivered; that is an attempt at deception. A topic modeling algorithm is implemented to reveal the distribution of each topic embedded in a text. This study measures information amount as topic diversity based on the results of topic modeling, and topic diversity shows how heterogeneous a text review is. Two datasets of restaurant reviews on Yelp.com, which have Filtered (deceptive) and Unfiltered (genuine) reviews, were used to test the hypotheses. Reviews that contain more diverse topics tend to be truthful. However, excessive topic diversity produces an inverted U-shaped relationship with truthfulness. Moreover, we find an interaction effect between topic diversity and reviews' ratings. This result suggests that the impact of topic diversity is strengthened when deceptive reviews have lower ratings. This study contributes to the existing literature on IMT by building the connection between topic diversity in a review and its truthfulness. In addition, the empirical results show that topic diversity is a reliable measure for gauging information amount of reviews.

지식 결합을 이용한 서로 다른 모델들의 통합 (Integration of Heterogeneous Models with Knowledge Consolidation)

  • 배재권;김진화
    • 경영과학
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    • 제24권2호
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    • pp.177-196
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    • 2007
  • For better predictions and classifications in customer recommendation, this study proposes an integrative model that efficiently combines the currently-in-use statistical and artificial intelligence models. In particular, by integrating the models such as Association Rule, Frequency Matrix, and Rule Induction, this study suggests an integrative prediction model. Integrated models consist of four models: ASFM model which combines Association Rule(A) and Frequency Matrix(B), ASRI model which combines Association Rule(A) and Rule Induction(C), FMRI model which combines Frequency Matrix(B) and Rule Induction(C), and ASFMRI model which combines Association Rule(A), Frequency Matrix(B), and Rule Induction(C). The data set for the tests is collected from a convenience store G, which is the number one in its brand in S. Korea. This data set contains sales information on customer transactions from September 1, 2005 to December 7, 2005. About 1,000 transactions are selected for a specific item. Using this data set. it suggests an integrated model predicting whether a customer buys or not buys a specific product for target marketing strategy. The performance of integrated model is compared with that of other models. The results from the experiments show that the performance of integrated model is superior to that of all other models such as Association Rule, Frequency Matrix, and Rule Induction.

Possible Linkage between Management of the Service Supply Chain and the Power to Influence Potential Customers for Airline Booking

  • Moon-Jeong KIM
    • 유통과학연구
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    • 제21권5호
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    • pp.93-102
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    • 2023
  • Purpose: This study aims to investigate a meaningful connection between the service supply chain and the power to influence potential customers for airline booking. This investigation will cover various topics, including customer service, product quality, and marketing strategies. Additionally, the literature review will examine the various strategies and tactics airlines use to influence customer behavior. Research design, data, and methodology: The data collection process conducted by the author could obtain the justification and establish the quality of the instrument between independent factor (Service Supply Chain) and dependent factor (Power to Influence Potential Customers), selecting peer-reviewed articles mostly for the current study. Results: The findings section thoroughly studied the research findings indicating a potential link between service supply chain management and the ability to persuade potential consumers to book an airline. The research findings will be explored concerning the numerous variables that may affect customers' decision-making in the airline business, the techniques used by airlines to sway consumers. Conclusions: The research has provided evidence that airlines use a variety of strategies to influence potential customers and that these strategies are generally successful in increasing customer loyalty and satisfaction, as well as sales. By utilizing these strategies, airlines can increase their customer base and profitability.

Support Vector Machine 기법을 이용한 고객의 구매의도 예측 (Forecasting of Customer's Purchasing Intention Using Support Vector Machine)

  • 김진화;남기찬;이상종
    • 경영정보학연구
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    • 제10권2호
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    • pp.137-158
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    • 2008
  • 기업 경쟁력 강화의 중요한 이슈인 대량 개별화(mass-customization)의 실행을 위하여 통합 고객관계 관리 프로세스로서의 CRM(customer relationship management)에 대한 관심과 활용에 대한 필요성은 점점 더 높아지고 있다. 특히, 기존 고객들의 구매 정보를 기반으로 고객의 구매 패턴을 파악하고 의도를 예측하는 것은 오늘날 실질적인 판매 전략을 수립하는 마케팅 분야에서 상당히 큰 비중을 차지하고 있다. 고객의 구매의도 예측에는 대량의 데이터로부터 과거에 인지하지 못했던 의미 있고, 근거 있는 정보를 추출하는 데이터마이닝(datamining)이 주로 사용되고 있다. 기존의 구매의도 예측에 사용된 데이터마이닝 기법들은 주로 신경망(neural networks)과 로지스틱 회귀분석(logistic regression analysis)이었는데, 예측 정확성 및 모형 구축의 어려움으로 인한 다양한 문제점들이 제기되고 있는 실정이다. 따라서, 본 논문에서는 기존의 기법들이 가지고 있는 단점들을 개선하기 위하여 신경망과 로지스틱 회귀분석 외에 연관규칙(association rule), 연관성 매트릭스(association matrix), 의사결정 나무(decision tree), 베이지안 망(bayesian network), SVM(support vector machine) 기법들을 추가로 제안하였다. 본 연구의 목적은 고객의 특정 상품에 대한 구매의도 예측을 위하여 새로운 알고리즘을 제시하기보다는 기존의 다양한 데이터마이닝 기법들을 적용시켜 봄으로써, 가장 우수한 예측성과를 나타내는 기법을 발견하는 것이다. 연구에 사용된 자료는 기존의 연구에서는 적용되지 않았던 편의점의 영수증 데이터이다. 예측 목표상품은 카테고리화 된 '우유'와 '냉동식품'이며, 제안된 기법들의 신뢰성을 위하여 전체 데이터를 10개의 training과 test 셋으로 중복되지 않게 구분함과 동시에 10번의 교차 검증(cross validation)을 실시하였다. 실험 결과 SVM이 영수증 데이터를 이용한 고객의 특정 상품에 대한 구매의도 예측에서 가장 우수한 성과를 나타내는 것을 확인하였다.

역방향 로지스틱스 : 과제 및 기존연구 (Reverse Logistics : Research Issues and Literature Review)

  • 이동호;김화중;김지수
    • 대한산업공학회지
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    • 제34권3호
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    • pp.270-288
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    • 2008
  • Among various environmental issues, those for worn-out products are increasingly important due to rapid development and improvement of products, shortages of dumping sites and waste-incineration facilities, and legislation pressures and customer recognitions to protect the environment. Under such circumstances, collection and product recovery activities give rise to additional material flows from customers back to collectors and reprocessors. Reverse logistics, the opposite direction of the conventional forward logistics, is concerned with the management of this material flow. In this paper, we consider the emerging concept of reverse logistics. First, the concept of sustainable development is explained to explain the philosophical background of various environmental issues. Second, we explain the basics of reverse logistics, which includes the overall structure and the classification of network types. Finally, we review the previous research articles, especially in the aspect of industrial engineering, after classifying the decision problems into : (a) product recovery strategy; (b) network design and operation; (c) inventory management; (d) disassembly problems; and (e) remanufacturing problems.

e-Business의 동향과 향후 전개 방향 (The Trend of e-Business and hereafter development direction)

  • 이현식
    • 통상정보연구
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    • 제3권1호
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    • pp.7-24
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    • 2001
  • 많은 기업들이 e-Business를 적극 추진하고 있으나, 기대한 만큼의 경영성과를 올리고 있는 기업은 거의 없는 실정이며, 더 나아가 e-Business의 회의론까지 대두되고 있는 실정이다. 그럼에도 불구하고 e-Business는 Product & Service Leadership, Operational Excellence, Customer Intimacy 확보 차원에서 지속적으로 성장할 것으로 예상된다. 따라서 Off-line 기업의 IT 설비투자 확대, Off-line 기업과 온라인 기업간의 적절한 조화, 기업간 협력 활성화, 닷컴 기업의 경쟁력 확보 등이 갖춰지면 e-business는 향후 우리에게 새로운 도전과 기회를 제공할 것이다.

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제품다양성이 공급사슬에 미치는 영향: 종합리뷰 및 미래연구방향 (The Impact of Product Variety in The Supply Chain: An Integrative Review and Future Research Direction)

  • 김영아
    • Asia Marketing Journal
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    • 제7권1호
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    • pp.67-89
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    • 2005
  • 최근 몇 년 동안, 빠르게 진보하는 기술, 국제적 경쟁, 성숙된 소비자들의 출현 등으로 많은 산업분야에서 제품 다양성은 급격하게 증가되어왔다. 기업들은 자사가 생산 또는 판매하는 제품의 다양성을 확보함으로써 고객만족이 증대하고 이러한 결과로 자사의 시장점유율과 수익률을 증가시키고자 노력한다. 본 연구는 선행된 제품다양성에 관한 문헌연구를 전반적으로 검토하여, 공급사슬상의 기업 및 사업부 내 제품다양성 효과를 밝히고 미래연구 방향을 제시하는데 연구 목표가 있다. 즉, 본 연구는 먼저, 문헌연구에 대한 재검토를 통해서 제품 다양성 수준을 제품설계, 생산, 구매, 물류, 마케팅과 같은 각각의 공급사슬 기능별 단위들로 구분하여 정리하고, 이러한 공급사슬 각 부문에서 수행된 기능들에 대한 제품 다양성의 긍정적, 부정적 영향들을 밝히고자 한다. 또한, 다양성을 위한 제품 설계 할 때, 모듈방식, 부품공유와 같은 제품생산 비용절감에 도움이 되는 요인들, 주문 처리과정, 구매부품 다양성 정도와 같은 구매비용절감에 관련된 요인들, 시장 점유, 고객만족, 경쟁적 우위, 수요예측과 같은 마케팅 관점에서의 제품다양성에 관한 요인들을 분류 제시하고자 한다. 끝으로, 미래연구 방향에 대해서 논의한다.

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서비스지배논리하에서 가치공동창출 매커니즘과 기업성과간의 관계에 대한 연구 (Understanding the Relationship between Value Co-Creation Mechanism and Firm's Performance based on the Service-Dominant Logic)

  • 남기찬;김용진;임명성;이남희;조아라
    • Asia pacific journal of information systems
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    • 제19권4호
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    • pp.177-200
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    • 2009
  • AIn the advanced - economy, the services industry hasbecome a dominant sector. Evidently, the services sector has grown at a much faster rate than any other. For instance, in such developed countries as the U.S., the proportion of the services sector in its GDP is greater than 75%. Even in the developing countries including India and China, the magnitude of the services sector in their GDPs is rapidly growing. The increasing dependence on service gives rise to new initiatives including service science and service-dominant logic. These new initiatives propose a new theoretical prism to promote the better understanding of the changing economic structure. From the new perspectives, service is no longer regarded as a transaction or exchange, but rather co-creation of value through the interaction among service users, providers, and other stakeholders including partners, external environments, and customer communities. The purpose of this study is the following. First, we review previous literature on service, service innovation, and service systems and integrate the studies based on service dominant logic. Second, we categorize the ten propositions of service dominant logic into conceptual propositions and the ones that are directly related to service provision. Conceptual propositions are left out to form the research model. With the selected propositions, we define the research constructs for this study. Third, we develop measurement items for the new service concepts including service provider network, customer network, value co-creation, and convergence of service with product. We then propose a research model to explain the relationship among the factors that affect the value creation mechanism. Finally, we empirically investigate the effects of the factors on firm performance. Through the process of this research study, we want to show the value creation mechanism of service systems in which various participants in service provision interact with related parties in a joint effort to create values. To test the proposed hypotheses, we developed measurement items and distributed survey questionnaires to domestic companies. 500 survey questionnaires were distributed and 180 were returned among which 171 were usable. The results of the empirical test can be summarized as the following. First, service providers' network which is to help offer required services to customers is found to affect customer network, while it does not have a significant effect on value co-creation and product-service convergence. Second, customer network, on the other hand, appears to influence both value co-creation and product-service convergence. Third, value co-creation accomplished through the collaboration of service providers and customers is found to have a significant effect on both product-service convergence and firm performance. Finally, product-service convergence appears to affect firm performance. To interpret the results from the value creation mechanism perspective, service provider network well established to support customer network is found to have significant effect on customer network which in turn facilitates value co-creation in service provision and product-service convergence to lead to greater firm performance. The results have some enlightening implications for practitioners. If companies want to transform themselves into service-centered business enterprises, they have to consider the four factors suggested in this study: service provider network, customer network, value co-creation, and product-service convergence. That is, companies becoming a service-oriented organization need to understand what the four factors are and how the factors interact with one another in their business context. They then may want to devise a better tool to analyze the value creation mechanism and apply the four factors to their own environment. This research study contributes to the literature in following ways. First, this study is one of the very first empirical studies on the service dominant logic as it has categorized the fundamental propositions into conceptual and empirically testable ones and tested the proposed hypotheses against the data collected through the survey method. Most of the propositions are found to work as Vargo and Lusch have suggested. Second, by providing a testable set of relationships among the research variables, this study may provide policy makers and decision makers with some theoretical grounds for their decision making on what to do with service innovation and management. Finally, this study incorporates the concepts of value co-creation through the interaction between customers and service providers into the proposed research model and empirically tests the validity of the concepts. The results of this study will help establish a value creation mechanism in the service-based economy, which can be used to develop and implement new service provision.

How do Retailers' CSR Business Activities affect Customers in Korea?

  • CHO, Young-Sang;CHUNG, Ji-Bok;CHUN, Sung-Mo
    • 유통과학연구
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    • 제17권10호
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    • pp.5-15
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    • 2019
  • Purpose - Compared with the past when customers regarded a price factor as one of the most important criteria when choosing a retailer as a shopping destination, they seem to show different attitudes toward retailers in recent. This research, therefore, aims to explore how Korean customers respond to the CSR business activities provided by retailers. Research design, data, and methodology - The authors have developed the 6 hypotheses based on the literature review and adopted the 4 hypotheses after removing the 2 hypotheses through discriminant validity analysis. Results - Amongst the 4 hypotheses selected, H1 (community support), H3 (environment protection) and H6 (trading with unethical suppliers) related to a retailer's CSR business practices are accepted, whilst H4 (product issues) is rejected. Surprisingly, Korean customers are not interested in a product safety issue, when deciding a shopping store. Conclusions - Rather than emphasizing cheaper prices to attract new customers or maintain existing ones, it is demonstrated through the research that retailers have to pay their attention to their CSR activities. For a retailer's CSR practices, the retailer's social role has become more important than ever before, from a customer's point of view.