• Asian Journal of Business Environment
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• 제5권4호
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• pp.37-46
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• 2015

Purpose - The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology - The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results - According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions - The study's findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study's prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.

• 산경연구논집
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• 제4권2호
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• pp.31-40
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• 2013

Purpose - This study attempted to identify the value promotion clues that may operate as a consumer's motive, by shedding new light on consumer value and by reconstructing each variable analyzed through the means-end chain (MEC) theory. Research design, data, and methodology - In this study, 202 copies of effective questionnaires using the data of Yang and Ju (2012) were subjected to correlation, regression, and SEM. Results - All store selection attributes were verified as having a positive influence on the relationship quality. Although the store selection attributes were verified as exerting a positive influence on the relationship quality, according to the verification result of the mediating effect, consumer value was verified to be influenced only by the relationship quality instead of by the store selection attributes. Conclusion - As a result of path analysis on the proposed model after modification, it was verified that only product factor had a statistically significant positive influence and that social value was completely mediating between relationship quality and emotional value. It may be highlighted that the MEC theory concept would be applicable to the cause-and-effect relationship model.

• 농촌지도와개발
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• 제28권2호
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• pp.85-98
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• 2021

This study aims to examine consumer types based on pet food selection attributes and to analyze the differences in consumer characteristics by those types. In this study, the researcher uses k-means cluster analysis and crossover analysis to determine market segmention, and then analyzes the resultant characteristics by categorizing consumers. A total of 202 cases are used for this study. First, the selection attributes are classified into the six factors of credibility, quality, design, convenience, information, and price. Second, the clusters are categorized into the four clusters, which are designated pet food lower-involvement type, pet food information- and price-seeking type, pet food convenience-seeking type, and pet food higher-involvement type. Third, these four groups exhibit statistically significant differences in terms of occupational variables, number of pets, and purchase frequency. The results of this study may provide helpful information in establishing customized, market-based marketing strategies based on the characteristics of pet food consumers.

• 한국비블리아학회지
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• 제31권4호
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• pp.121-144
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• 2020

본 연구의 목적은 대전 지역의 U-도서관 적정입지를 제안하는 데 있다. 이를 위해 문헌연구 및 국내의 U-도서관 현황 분석을 통해 적정입지선정을 위한 평가지표를 도출하고 이를 바탕으로 공공도서관의 위치, 제안위치와의 반경, 지하철역별 수송실적, 관공서·교통시설·편의시설, 주요시설의 현황, 지역구별 거주인주수 등을 분석, 적용하였다. 최종적으로 이를 종합하여, 대전 지역의 5개 자치구인 대덕구 2개, 동구 2개, 서구 4개, 유성구 6개, 중구 2개 총 16개의 U-도서관 위치를 제안하였다.

• 대한치과기공학회지
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• 제42권4호
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• pp.362-371
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• 2020

Purpose: The following study seeks to ascertain the motivations behind students' academic major selection and to identify the obstacles they encounter in the transition to university life, with the objective of providing information necessary to adapt well to the university and the course. Thereby, we aim to supply basic resources needed in the development of a university adaptation program to prevent academic dropout. Methods: Between October 1, 2019 and November 29, 2019, a self-administered questionnaire was distributed to a study sample consisting of students currently attending dental technology courses in Gangwondo and Gyeonggido. A total of 474 (94.8%) responses to the questionnaire were received and used for the final analysis. Results: Factors including major selection motivation, intrinsic motivation (p<0.001), academic adjustment (p<0.001), social adjustment (p<0.01), and institutional adjustment (p<0.05) all had negative relationships with academic dropout intention. Personal-emotional adjustment (p<0.001), however, showed a positive relationship with dropout intention. The explanatory power of the model was found to be 50.0%. Conclusion: This research shows that intrinsic motivation and personal-emotional adjustment diminish academic dropout intention. Therefore, it is recommended that diverse postenrolment course-adjustment programs should be developed to improve students' confidence in their choice of study, their adjustment to the course, and their level of satisfaction.

• 한국컴퓨터정보학회논문지
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• 제27권10호
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• pp.245-254
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• 2022

본 연구는 기존 연구를 바탕으로 OTT 서비스에 대한 선택요인들을 도출하고, 각 평가 요소에 대한 가중치를 산출하기 위하여 AHP 분석모형을 제시하였다. OTT 서비스 선택요인들을 평가하기 위해서 OTT 서비스를 이용하는 고객들을 대상으로 수집된 자료를 분석에 활용하였다. 본 연구의 결과, OTT 서비스의 1단계 선택요인들인 경제성, 시스템 우수성, 편의성, 다양성, 유희성, 응대성 중에서 다양성이 가장 중요한 요인으로 나타났다. 1단계 요인과 2단계 요인의 가중치를 종합화한 결과에서는 오락이 가장 중요한 요인으로 나타났다. 마지막으로 본 연구는 성별, 연령에 따라 OTT 서비스 1단계 선택요인의 가중치에 차이가 있는지 분석했다. 본 연구를 통해서 소비자들이 OTT 서비스를 이용할 때 어떤 요인을 중요하게 고려하는지를 파악할 수 있을 것이다.

• International journal of advanced smart convergence
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• 제12권1호
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• pp.173-183
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• 2023

Recently, local governments that provide mobile-based public delivery app services have been increasing a lot. The purpose of this study is to analyze whether the restaurant self-employed's public delivery app selection attributes and public institutions' perception of support, which are under economic pressure due to the high delivery fee burden of private delivery apps, affect the intention to use public delivery app services. In this study, the degree of perception of each factor was measured using the Likert 5-point scale, and it was verified through statistical analysis using SPSS. The effect of the selection attribute of public delivery apps and the perception of self-employed people in the restaurant industry on the intention to use the service was empirically analyzed, and the hypothesis was verified using regression analysis. As a result of this study, it was confirmed that convenience, economy, and public interest had a significant effect among the factors of public app selection attributes, and educational support had a significant effect on public institution support.

• 한국유기농업학회지
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• 제32권1호
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• pp.39-54
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• 2024

This study aimed to elucidate the relationship between the selection attributes and visit motivations of Ningxia wineries and tourist satisfaction and intention to revisit. Utilizing multiple linear regression and simple linear regression models, the study quantitatively analyzed tourists' selection attributes and visit motivations for Ningxia wineries. Factor analysis categorized 12 visit motivation variables into four factors: 'Sensation', 'Educational', 'Companion-Friendly', and 'Experiential'. Additionally, 17 selection attribute variables were classified into four factors: 'Service Quality', 'Environmental', 'Facility', and 'Economic'. Through analyzing the impact of visit motivations on satisfaction and revisit intentions, we have identified the pivotal factors as 'Wine Cultural Education', 'Enhanced Companion-Friendliness', and 'Wine Cultural Experience'. In the analysis of the relationship between selection attributes and revisit intentions, crucial elements involve 'Service Quality provided by the winery"'and 'Environmental of the winery'. Conversely, key influencing revisit intentions include 'Environmental of the winery' and 'Costs and Pricing associated with winery visits'. To ensure the sustainable development of the Ningxia winery industry and promote the enduring growth of rural economies, wineries should place greater emphasis on cultivating wine cultural experiences, artisanal activities, and other project endeavors.

• International Journal of Precision Engineering and Manufacturing
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• 제3권4호
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• pp.5-14
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• 2002

This paper addresses the challenges of dealing with uncertainties based on interval analysis. An interval approach is proposed on the basis of Boundary Selection Method (BSM) for treating systems of linear interval equations in the presence of columnwise dependencies. An iterative procedure is developed for the problem solving where uncertainties are characterized in the form of interval quantities. An applied example is used to illustrate effectiveness and usefulness of the proposed approach. This new method can be applied for such circumstances that involve finite element analysis of structures, inverse dynamic analysis of mechanisms, and worst case design studies in the presence of the uncertainties.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.2472-2479
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• 2008

There exist several ways to analyse the accident causal analysis. Selection of a method and procedure depends on the characteristics of the system being analysed. Moreover, the selection should take into account of how the accidents causes are classified, since analysis model should make use of the classified causes to identify factors contributing to the risk of accidents. For railway case, a relational analysis as well as statistical estimation of significant hazard frequencies is applied to identify the dominant causes of accidents. This paper introduces outline of the causal analysis system, which is a significant part of the railway accident information and analysis system.