• 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.

• 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.

• 디지털융복합연구
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• 제13권10호
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• pp.225-234
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• 2015

본 연구는 캠핑장 선택속성의 의사결정 융복합 프레임워크 구축을 위해 의사결정의 세부단계를 알아보기 위해 수행되었다. 첫째, 캠핑참여동기 및 캠핑장 선택속성을 파악하기 위하여 요인분석이 수행되었고, 둘째, 캠핑참여동기 유형에 따른 캠핑장 선택속성에 미치는 영향관계 분석, 셋째, 캠핑장 선택속성이 만족과 행동의도에 어떠한 영향관계를 미치는지를 검정하기 위해 회귀분석이 수행되었다. 캠핑참여동기로 5개 요인이 도출, 캠핑장 선택속성은 4개 요인이 도출되었으며, 이 캠핑참여동기의 유형에 따라 캠핑장 선택속성에 미치는 영향력이 다르다는 것을 알게 되었다, 그리고 마지막으로 캠핑장 선택속성은 캠핑객의 만족 및 행동의도에 영향을 미친다는 것을 알게 되었다. 이와 같은 결과는 캠핑장 운영자들은 세분화된 캠핑참여동기를 바탕으로 운영하고 있는 캠핑장이 반드시 갖추어야할 속성들에 대해 알게 해 주었고, 실제 캠핑객의 만족 및 행동의도에 미치는 선택 속성들을 파악함으로써 캠핑 사이트 개발자들의 개발계획 수립을 위한 가이드라인을 제시해 준다.

• 정보처리학회논문지B
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• 제14B권2호
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• pp.135-140
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• 2007

특징선택은 문제 영역에서 관찰된 다차원데이터로부터 데이터가 묘사하는 구조를 잘 반영하는 속성을 선택하여 효과적인 실험 데이터를 구성하는 데이터 준비과정이다. 이 과정은 문서분류, 영상인식, 유전자 선택 분야에서의 같은 분류시스템의 성능향상에 중요한 구성요소로서 상관관계 기법, 차원축소 및 상호 정보 처리 등의 통계학이나 정보이론의 접근방법을 중심으로 연구되어왔다. 이와 같은 선택 분야의 연구는 다루는 데이터의 양이 방대해지고 복잡해지면서 더욱 중요시 되고 있다. 본 논문에서는 데이터가 가지는 특성을 반영하면서 새로운 데이터에 대하여 일반화 할 수 있는 특징선택 방법을 제안하고자 한다. 준비된 데이터의 각 속성 데이터에 대하여 퍼지 클러스터 분석에 의하여 최적의 클러스터 정보를 얻고 이를 바탕으로 근접성과 분리성의 경로를 측정하여 그 값에 따라 특징을 선택하는 매카니즘을 제공한다. 제안된 방법을 실세계의 컴퓨터 바이러스 분류에 적용하여 기존의 대비에 의한 휴리스틱 방법에 의해 선택된 데이터를 가지고 분류한 것과 비교하고자 한다. 이를 통하여 주어진 특징에 시연을 부여할 수 있고 효과적으로 특징을 선택하여 시스템의 성능을 향상 시킬 수 있음을 확인한다.

• 정보기술과데이타베이스저널
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• 제6권1호
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• pp.15-25
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• 1999

We propose an extended relational data model which can represent the reliability of data. In this paper, the reliability of data is defined as the reliability of the source, from which the data originated. We represent the reliability of data at the level of attribute values, instead of tuples, then define the selection, product and join operators.

• 산업경영시스템학회지
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• 제19권37호
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• pp.21-29
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• 1996

It is very important to select the best alternative for a manufacturing enterprise. However, more often than not this work is carried out unsatisfactorily. In this paper, we will present a new model for evaluating alternatives. Two main results derived from this paper are as follows: 1. A selection model of alternative is suggested that each decision maker's opinion is equally evaluated and the preference of each attribute can also be considered simultaneously. 2. A proposed method is especially effective to analyze a data structure with fuzzy and crisp data.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2000년도 추계 학술대회(The 2000 Autumn Conference of korea Technology Inovation Society)(한국기술혁신학회)
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• pp.125-140
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• 2000

In this paper, we suggest energy technologies for a plan of future energy technology innovation. In order to evaluate and analyze of the technologies, we consider various methods such as AHP(Analytic Hierarchy Process), CVM (Contingent Valuation Method) and MAUT(Multi-Attribute Utility Theory). According to MAUT, we present between many attributes and priorities of innovation technologies.

• 품질경영학회지
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• 제25권4호
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• pp.27-49
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• 1997

Quality function deployment is an interdisciplinary team process of listening to customers to learn exactly what they want, and then using a logical system to determine how best to fulfill those needs with available resources. It is examined how to extend quality function deployment in this paper. The Pugh concept selection method, ACE(Attribute Categorization and Evaluation) Matrix, and an inventive problem solving method called TRIZ are discussed in relation with quality function deployment.

• 한국통신학회논문지
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• 제22권3호
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• pp.423-431
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• 1997

A new decision tree generator MEC is proposed in this paper, which uses the difference of multi-base entropy as a consistent criterion for discretization and selection of attributes. To evaluate the performance of the proposed generator, it is compared to other generators which use criteria based on entropy and adopt different discretization styles. As an experimental result, it is shown that the proposed generator produces the most efficient classifiers, which have the least number of leaves at the same error rate, regardless of whether attribute values constituting the training set are discrete or continuous.