• Title/Summary/Keyword: Credibility model

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The Effects of the Virtual Avatar Fitting Models for Apparel e-Commerce in Consumer's Purchasing Behavior: Comparing Traditional Model with Virtual Avatar Model (의류 인터넷 쇼핑몰의 가상 아바타 피팅 모델이 소비자 구매행동에 미치는 영향연구: 기존 온라인 쇼핑몰 모델과 가상 피팅 아바타 모델 비교)

  • Hwang, Suyeon;Shin, Sangmoo
    • Journal of Fashion Business
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    • v.17 no.5
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    • pp.57-69
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    • 2013
  • The purpose of this study is to compare the traditional shopping model and virtual avatar fitting model with regards to credibility and favorable impression effects on shopping mall satisfaction, product preferences, and purchasing intentions of apparel e-commerce. Questionnaires are distributed to 10-30s years old consumers who live in Seoul. Data are analyzed by descriptive statistics, Cronbach's ${\alpha}$, and regression analysis. The results are that the provoked credibility and favorable impression from the traditional shopping model affects the consumers' shopping mall satisfaction and buying intention in descending order. In additional, the credibility from traditional shopping model affects the product preference. The provoked credibility from the virtual fitting model influences the consumers' product preferences, and buying intentions. The favorable impression from the virtual fitting model affects shopping mall satisfaction. In general, provoked credibility from virtual avatar fitting model and traditional shopping model play key roles which could influence the consumers' buying intention.

Celebrity Endorser and Purchase Intention: The Mediating Role of Resonance-Based Self-Attitude and Brand Credibility

  • GUNAWAN, Stephanie Angelina;HERMAWAN, Asep;WIDJAJA, Anton Wachidin;BERNARTO, Innocentius
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.7
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    • pp.603-611
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    • 2021
  • This study aims to analyze the mediating influences of resonance-based self-attitude and brand credibility in a relationship between celebrity endorser credibility and celebrity endorser congruity toward brand purchase intention in the current dynamic business environment. It employs a quantitative research method and reports on a survey, using a questionnaire, including the population of consumers of various instant coffee brands in several cities in Indonesia. The number of respondents in this study was 432 people. The analysis was performed using Partial Least Square Structural Equation Modeling and SmartPLS software. The analysis consisted of descriptive statistics, evaluation of the measurement model, evaluation of the structural model, and hypothesis testing. The results partially support the model developed. The findings suggest that the instant coffee product advertising in Indonesia needs to create brand messages focusing on the formation of resonance-based self-attitude from consumers to increase the influence of celebrity endorser credibility and celebrity endorser congruity, as well as the brand credibility towards the brand purchase intention. This study contributes to the marketing literature and the theory of planned behavior by providing empirical evidence on the relationship between celebrity endorser credibility, celebrity endorser congruity, resonance-based self-attitude, brand credibility, and brand purchase intention.

Credibility estimation via kernel mixed effects model

  • Shim, Joo-Yong;Kim, Tae-Yoon;Lee, Sang-Yeol;Hwa, Chang-Ha
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.2
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    • pp.445-452
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    • 2009
  • Credibility models are actuarial tools to distribute premiums fairly among a heterogeneous group of policyholders. Many existing credibility models can be expressed as special cases of linear mixed effects models. In this paper we propose a nonlinear credibility regression model by reforming the linear mixed effects model through kernel machine. The proposed model can be seen as prediction method applicable in any setting where repeated measures are made for subjects with different risk levels. Experimental results are then presented which indicate the performance of the proposed estimating procedure.

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Determinants of Credibility of Electronic Word-of-Mouth (eWOM) in WeChat-based Social Commerce: Applying the Heuristic-Systematic Model (중국의 웨이신(WeChat) 기반 소셜커머스에서 온라인 구전 신뢰성의 결정요인: 휴리스틱-체계적 모델(HSM)의 적용)

  • Qu, Min;Choi, Su-Jeong
    • The Journal of Information Systems
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    • v.26 no.4
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    • pp.107-135
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    • 2017
  • Purpose Along with the growth of smart phones and social networking service (SNS), social commerce continues to expand. Although online reviews have become an important source of the information that consumers use to make purchasing decisions, theoretical development and empirical testing in this area are still limited. Thus, there is a need to develop further understanding about the influence of electronic word-of-mouth (eWOM). Drawing upon the heuristic - systematic model (HSM) which is one of the dual-process theories, this study develops a research model that explains key factors influencing consumers' eWOM credibility. Furthermore, this study verifies that consumer's eWOM credibility is a key determinant of eWOM and purchase intentions. Design/methodology/approach The proposed model is empirically tested with 493 users who have experience in WeChat-based social commerce. The structural equation model (SEM) analysis is used to evaluate the research model and hypotheses. Findings The major findings are as follows. First, argument quality of eWOM (a systematic factor) has a positive effect on eWOM credibility. Second, source credibility and recommendation consistency of eWOM (heuristic factors) are positively associated with eWOM credibility. Finally, purchase and eWOM intentions greatly depend on eWOM credibility. These results confirm the effectiveness of HSM in explaining eWOM mechanisms in SNS-based social commerce. The details of findings and implications are presented.

A study on the credibility estimation model for the indurance experience rate-making (보험 경험요율산정을 위한 신뢰도 추정모형 연구)

  • 강정혁;양원섭
    • Korean Management Science Review
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    • v.11 no.3
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    • pp.153-167
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    • 1994
  • Credibility theory has provided with a useful tool the assignment of weighting factor that reflects the credibility of the observed individual and collective experience to secure fair experience rate-,making. We review credibility models which can effectively estimate risk premiums using credibility theory, and suggest an empirical Bayed model based on the collective statistics to estimate the structural parameters. To illustrate the use of evolutionary models, the models are applied to the actual data, such as loss ratio, claim frequencies and severity, in the Korean automobile insurance. Also the possibilities of generalizations and applications of empirical models are discussed.

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An Estimation of Loss Ratio Based on Empirical Bayes Credibility

  • Lee, Kang Sup;Lee, Hee Chun
    • Communications for Statistical Applications and Methods
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    • v.9 no.2
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    • pp.381-388
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    • 2002
  • It has been pointed out that the classical credibility model used in Korea since the beginning of 1990's lacks in objectiveness. Recently, in order to improve objectiveness, the empirical Bayes credibility model utilizing general exposure units like the number of claims and premium has been employed, but that model itself is not quite applicable in the country like Korea whose annual and classified empirical data are not well accumulated and even varied severely. In this article, we propose a new and better model, Based on the new model, we estimate both credibility and loss ratio of each class for fire insurance plans by Korean insurance companies. As a conclusion, we empirically make sure analysis that the number of claims is a more reasonable exposure unit than premium.

A Study on the Time-Dependent Bonus-Malus System in Automobile Insurance

  • Kang, Jung-Chul
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.4
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    • pp.1147-1157
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    • 2005
  • Bonus-Malus system is generally constructed based on claim frequency and Bayesian credibility model is used to represent claim frequency distribution. However, there is a problem with traditionally used credibility model for the purpose of constructing bonus-malus system. In traditional Bonus-Malus system adopted credibility model, individual estimates of premium rates for insureds are determined based solely on the total number of claim frequency without considering when those claims occurred. In this paper, a new model which is a modification of structural time series model applicable to counting time series data are suggested. Based on the suggested model relatively higher premium rates are charged to insured with more claim records.

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Must-have for Crowd-funding Projects: Credibility

  • Wang, Huaxin;Kim, Taekyung
    • Asia pacific journal of information systems
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    • v.26 no.1
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    • pp.109-123
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    • 2016
  • The success of a crowd-funding project can be attributed to various reasons, among which, backer's (also known as 'investor', or 'funder') perception of project credibility may be a salient one. The purpose of this study is to investigate the extent to which perceived project credibility can affect a backer's investment decision. We examine the factors that could influence the building of perceived project credibility by testing the proposed research model using survey data. Analysis results indicate that perceived project credibility has a significantly positive effect on backer's investment intention. Furthermore, information quality and source credibility are two key determinants of perceived project credibility. This study contributes to crowd-funding literature by enriching the list of successful factors for fund-raising with project credibility. The study also has practical implications because it explains why and how a backer's perception of project credibility can be improved.

A study on the estimation of the credibility in an extended Buhlmann-Straub model (확장된 뷸만-스트라웁 모형에서 신뢰도 추정 연구)

  • Yi, Min-Jeong;Go, Han-Na;Choi, Seung-Kyoung;Lee, Eui-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.6
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    • pp.1181-1190
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    • 2010
  • When an insurer develops an insurance product, it is very critical to determine reasonable premiums, which is directly related to insurer's profits. There are three methods to determine premiums. Frist, the insurer utilizes premiums paid to the similar cases to the current one. Second, the insurer calculates premiums based on policyholder's past records. The last method is to combine the first with the second one. Based on the three methods, there are two major theories determining premiums, Limited Fluctuation Credibility Theory not based on statistical models and Greatest Accuracy Credibility Theory based on statistical models. There are well-known methods derived from Greatest Accuracy Credibility Theory, such as, Buhlmann model and Buhlmann-Straub model. In this paper, we extend the Buhlmann-Straub model to accommodate the fact that variability grows according to the number of data in practice and suggest a new non-parametric method to estimate the premiums. The suggested estimation method is also applied to the data gained from simulation and compared with the existing estimation method.

Why Do We Pay for Advertising Models?: Suggestions for Maximizing Advertising Effectiveness

  • Han, Sang-Ho;Cho, Hee-Young;Yang, Hoe-Chang
    • Asian Journal of Business Environment
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    • v.4 no.1
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    • pp.15-23
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    • 2014
  • Purpose - In this study, we inspected the effects of public-service advertising (PSA) and commercial advertisements on consumers' social and emotional values. Specifically, we include source credibility on advertising models as a mediating variable to compare the path difference between the social and emotional value of consumers, and to test the appropriateness of advertising expenses. Research design, data, and methodology - A total of 219 copies of effective questionnaires were used and methodologies such as Cronbach's alpha, paired samples t-test, and structural equation modeling (SEM) were conducted. Results - The results showed that the consumer model was effective at PSA, while celebrities and CEOs were effective at commercial advertising. Further, only credibility (among source credibility) made a significant difference in the test of PSA models of both PSA and commercial advertising that consumers preferred. Conclusions - The advertising model types varied depending on advertising types (for example, PSA and commercial advertising). Therefore, celebrities and CEOs appearing in commercial advertising should have no ethical or moral defect by self-control, and marketers should elect the model considering such a fact.