• Title/Summary/Keyword: reputation

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Measuring Trusts And The Effects On The Consumers' Buying Behavior

  • LE, Nguyen Binh Minh;HOANG, Thi Phuong Thao
    • Journal of Distribution Science
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    • v.18 no.3
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    • pp.5-14
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    • 2020
  • Purpose: Trust plays an important role in e-commerce because consumers perceive more risk involved with this type of shopping than traditional way of shopping. Trust is defined as complex and multidimensional issue. This paper argues that trust should be considered to have two important components as trust belief and trust intention, in which trust belief has three components as competence, integrity and benevolence. Research design, data and methodology: This study examines the relationship between retailer website quality (web design, navigation, information), reputation and risk toward trust. In addition, trust and risk toward buying behavior are also considered, leading to customer satisfaction. The paper is conducted on a sample of 594 customers with direct experience of online shopping in Vietnam. Both confirmatory factor analysis (CFA) and a structural equation model (SEM) were utilised. Results: Empirical findings from this paper indicate that trust is high order construct. Website quality and reputation have positive impacts on customers' trust. Trust has a positive relationship to buying behavior and customers' satisfaction while perceived risk has negative relationship to buying behavior. In contrast, a relationship between perceived risk and trust is not supported in this study. Conclusions: Improving reputation and website quality (especially information) may increase customers' trust and eventually lead to purchase decision.

A Study on Prediction Reputation System for Prevention of SPIT (SPIT 차단을 위한 예측 평판도 기법에 대한 연구)

  • Bae, Kwang-Yong;Lee, Jae-Eun;Kim, Young-Beom
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.2
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    • pp.152-160
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    • 2013
  • This paper proposes a prediction reputation system for the anti-SPIT solution in real-time VoIP environment. The existing schemes need to get the user's feedback and/or have experienced the time delay and overload as session initiates due to real-time operation. To solve these problems, the proposed scheme predicts the reputation through the statistical analysis based on the period of session initiation of each caller and the call duration of each receiver. As per the second mentioned problem, this scheme performs the prediction before session initiation, therefore, it's proper for real-time VoIP environment.

Restoring the Role of Credit Rating Agencies as Gatekeepers (신용평가기능 개선을 위한 과제)

  • CHO, Sungbin
    • KDI Journal of Economic Policy
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    • v.33 no.2
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    • pp.81-110
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    • 2011
  • Credit rating agencies(CRAs) are accused of failing to provide accurate and fair credit ratings and hence being responsible for the crisis. This paper tries to add on to the literature on credit rating reform through examining the CRAs in a model where rating quality is unobservable. We show that unobservability of rating effort results in the sub-optimal level of quality. Then the paper extends the model to incorporate ancillary services, competition and reputation. We show that ancillary services worsen the conflict of interests of the CRAs and that competition and reputation may not be strong enough to discipline the CRAs. Hence regulatory oversight and imposition of liability may be necessary in order to increase the accuracy of ratings.

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The Influence of Visible Clues on Non-visible Clues in Context of Franchise Family Restaurants (프랜차이즈 패밀리레스토랑의 유형적 요소가 무형적 요소에 미치는 영향)

  • Yang, Dong-Hwi;Joo, Hyeon-Cheol;Park, Jeong-Mee
    • Culinary science and hospitality research
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    • v.23 no.3
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    • pp.216-226
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    • 2017
  • This study was conducted to examine the relationships among various visible clues and non-visible clues as perceived by franchise family restaurant consumers. Using online survey tool in South Korea, total 450 survey was distributed and 400 participants were used for further statistical analysing with SPSS 23.0 and AMOS 20.0. Twelve items were categorized into four visible factors (food, interior, exterior, employee). The result shows that food and employee have positive effects on brand reputation and distinctiveness, and the interior and employee were critical antecedents for brand distinctiveness. In addition, the brand reputation and brand distinctiveness have positive influence on experiential value as well as revisit intention. Although there were many studies which demonstrated the relationships among various quality clues and other outcome variables, such as brand image, loyalty, little research explained the relationships among visible elements of franchise family restaurants, brand reputation, brand distinctiveness, and revisit intention. The present study will provide theoretical and practical implications for both academia and the franchise family restaurant industry. (what is the meaning of the red part?)

The Customer Knowledge Structure for Building Perceived Value and Reputation of Location-based App Service (위치기반 앱 서비스를 통한 인지된 가치와 평판 형성을 위한 소비자 지식 구조)

  • Sohn, Bong-Jin;Choi, Jaewon
    • Knowledge Management Research
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    • v.18 no.1
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    • pp.159-176
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    • 2017
  • Recently, the popularity of smartphones has led to a dramatic increase in the frequency of use of App(Application) services. LBS (Location-Based Service) App service adopts various methods such as push marketing and useful information by region through providing location-based service based on the location of the consumer. In particular, an enterprise or an App management company can provide necessary information to the consumer through the necessary information among the customer related knowledge information obtained by utilizing the location information of the consumer in real time. Nevertheless, since LBS is a service that can be performed only when the company obtains consent to provide location information voluntarily by the consumer, there is a case of privacy infringement due to consumers' use of personal information. The purpose of this study is to identify the characteristics of privacy related variables and the knowledge structure for consumer value formation based on the theory of privacy calculation. We also compared the characteristics of Korea with those of China in privacy issue. As a result of the analysis, it was confirmed that factors such as information utilization ability and information control ability were influential as a key factor of privacy calculation. In addition, perceived value influences the reputation of the LBS App service.

A Scalable and Robust Approach to Collaboration Enforcement in Mobile Ad-Hoc Networks

  • Jiang Ning;Hua Kien A.;Liu, Danzhou
    • Journal of Communications and Networks
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    • v.9 no.1
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    • pp.56-66
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    • 2007
  • Mobile ad-hoc networks (MANETs) have attracted great research interest in recent years. Among many issues, lack of motivation for participating nodes to collaborate forms a major obstacle to the adoption of MANETs. Many contemporary collaboration enforcement techniques employ reputation mechanisms for nodes to avoid and penalize malicious participants. Reputation information is propagated among participants and updated based on complicated trust relationships to thwart false accusation of benign nodes. The aforementioned strategy suffers from low scalability and is likely to be exploited by adversaries. In this paper, we propose a novel approach to address these problems. With the proposed technique, no reputation information is propagated in the network and malicious nodes cannot cause false penalty to benign hosts. Nodes classify their one-hop neighbors through direct observation and misbehaving nodes are penalized within their localities. Data packets are dynamically rerouted to circumvent selfish nodes. As a result, overall network performance is greatly enhanced. This approach significantly simplifies the collaboration enforcement process, incurs low overhead, and is robust against various malicious behaviors. Simulation results based on different system configurations indicate that the proposed technique can significantly improve network performance with very low communication cost.

Reputation and Disenrollment : Role of Consumer Information in Health Insurance Markets (평판과 탈퇴 : 의료보험시장에서의 소비자정보의 역할)

  • Kwon, Soon-Man;Pauly, Mark V.;Hillman, Alan L.
    • Health Policy and Management
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    • v.8 no.1
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    • pp.266-282
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    • 1998
  • We model that separation is a rational decision to resolve the inherent uncertainty about quality form the matching process. In health insurance markets, quality of services is revealed to consumers only after enrollment. Discrepancies between the expected and realizeed quality lead utility-maximizing enrollees to disenroll if they find a better alternative. Accordingly, factors that reduce this discrepancy will decrease disenrollment. The firm-level empirical analysis shows that disenrollment is relatively small in markets where the reputation effect works efficiently becuse consumers can predict the expected quality accurately.

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A Security Model based on Reputation and Collaboration through Route-Request in Mobile Ad Hoc Networks

  • Anand, Anjali;Rani, Rinkle;Aggarwal, Himanshu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.11
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    • pp.4701-4719
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    • 2015
  • A Mobile Ad hoc Network (MANET) consists of mobile nodes which co-operate to forward each other's packets without the presence of any centralized authority. Due to this lack of centralized monitoring authority, MANETs have become vulnerable to various kinds of routing misbehaviour. Sometimes, nodes exhibit non-cooperating behaviour for conserving their own resources and exploiting others' by relaying their traffic. A node may even drop packets of other nodes in the guise of forwarding them. This paper proposes an efficient Reputation and Collaboration technique through route-request for handling such misbehaving nodes. It lays emphasis not only on direct observation but also considers the opinion of other nodes about misbehaving nodes in the network. Unlike existing schemes which generate separate messages for spreading second-hand information in the network, nodes purvey their opinion through route-request packet. Simulation studies reveal that the proposed scheme significantly improves the network performance by efficiently handling the misbehaving nodes in the network.

Examining the Antecedents of Trust in Apparel Manufacturer-Contractor Relationships (의류기업의 협력업체에 대한 신뢰에 영향을 미치는 선행변인)

  • Park, Na-Ri;Park, Jae-Ok
    • Journal of the Korean Society of Clothing and Textiles
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    • v.34 no.2
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    • pp.280-290
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    • 2010
  • This study identifies the antecedents of trust in the examination of the effects of the antecedents of trust on trust in apparel manufacturer-contractor relationships. A total of 92 apparel manufactures participated in this study. A factor analysis, Cronbach's alpha coefficient, and multiple regression analysis were conducted for the statistical analysis. Five antecedents of trust were classified: flexibility, opportunistic behavior, communication, specific investment, reputation. Two factors of trust were identified: credibility and benevolence. Flexibility, communication, and reputation of a contractor positively influenced the credibility of an apparel manufacture in a contractor. Flexibility, communication, and specific investment of a contractor positively relate to the benevolence of an apparel manufacture in a contractor. However, the opportunistic behavior of a contractor did not relate to either the credibility of an apparel manufacture or the benevolence in a contractor. The results of this study provide empirical evidence of the impact of flexibility, communication, specific investment, reputation on trust in apparel manufacturer-contractor relationships, and additional insight for selecting contractors that seek to improve trust in apparel manufacturer-contractor relationships.

A Study on the Factors Influencing Repurchase Intention in Social Commerce (공동구매형 소셜 커머스의 재구매의도에 영향을 미치는 요인에 관한 연구)

  • Wang, Yu;Kwon, Sun-Dong
    • Journal of Information Technology Applications and Management
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    • v.19 no.4
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    • pp.137-152
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    • 2012
  • As social media such as facebook and twitter is widespread, social commerce appears as a new way of e-commerce. Social commerce is a subset of electronic commerce that involves using social media that supports social interaction and user contributions. From the understanding of social commerce and literature review, we deduced the research model that relationship, collectivism, convenience, usefulness, low price, reputation, and rapidness have influence on satisfaction and repurchase intention. As a result of data analysis, relationship, convenience, usefulness, low price, and rapidness had influence on satisfaction and repurchase intention. And collectivism had influence on relationship. But reputation did not have influence on satisfaction. The focus of this study is on the effect of relationship and collectivism on satisfaction and repurchase, because relationship and collectivism is the major feature of social commerce. Succinctly speaking, collectivism affects relationship among users, in turn, relationship affects satisfaction and repurchase intention. This study gives a contribution to business. Business related with social commerce has to make a business strategy for managing relationship and consider collectivism tendency for selecting target customer.