• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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• pp.709-710
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• 2023

Consumer attitudes and behaviors towards brands are not only related to the perception of corporate brand image but also to factors such as the image of the country of origin, the characteristics of the host country, and consumer individual traits. This article focuses on Chinese multinational companies and aims to study the impact of brand international image and country-of-origin brand image on consumer behavior. A model is constructed with brand international image and country-of-origin brand image as antecedent variables, host country characteristics and consumer traits as moderators, and consumer behavior as the outcome. This study employs a questionnaire survey method targeting foreign residents living in China as participants. The research findings reveal that during the internationalization process, both brand international image and country-of-origin brand image have a significant positive impact on consumer behavior, while host country characteristics and consumer traits play a moderating role. The conclusions of this research enrich the theoretical understanding of brand internationalization and explore the influencing factors of consumer behavior, providing a basis for decision-making for multinational company executives.

• 마케팅과학연구
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• 제13권
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• pp.135-158
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• 2004

본 연구에서 온라인 소비자들이 재방문단계(revisit stage)와 구매의사결정 단계(decision-making stage)에서 어떤 방문행동 특성상의 차이를 보이고 있는가를 파악하기 위한 목적을 가지고 있다. 인터넷 쇼핑몰 시장에서 어떤 방문행동특성을 가진 온라인 소비자들이 지속적으로 같은 사이트를 방문하고, 구매행동을 하는지에 관한 정보는 사이트 관리자의 입장에서 볼 때 수익성 제고 측면에서 공헌하는 바가크다. 특히 본 연구에서는 2단계 Mixture Model 율 이용하여 온라인 소비자들의 방문행동 특성을 파악함으로써 인터넷 쇼핑몰의 경쟁력을 강화활 수 있는 세분시장 결정방법을 제시하고자 한다. 또한 사이트 재방문단계 (revisit stage) 와 구매의사결정 단계 (decision-making stage) 훌 통한 온라인 소비자들의 방문 행동 특성 정보는 사이트 경쟁력 강화를 위한 전략적 시사점율 제공해줄 것으로 기대된다. 본 연구는 온라인 소비자들의 구매의사결정이 재밤문단계 (revisit stage) 와 구매단계 (purchase stage) 라고 하는 2단계 의사결정과정을 거치고 있음을 보여주는 실증분석을 통해 온라인 소비자들의 방문행동 특성을 파악하여 이에 적합한 대응전략을 전개할 수 있음을 논의함으로써 온라인 소비자들의 방문행동 특성을 사이트 밀착도 및 항해유형에 따라 파악할 수 있다는 학문적 공헌점을 제시 하고 있다.

• 정보처리학회논문지D
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• 제13D권4호
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• pp.603-612
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• 2006

최근 웹 서비스 분야는 SOA(Services-Oriented Architecture)에 대한 관심의 증가와 B2B 시장의 성장으로 인해 차세대 IT 패러다임으로 급부상하고 있다. UDDI(Universal Description, Discovery and Integration)를 통한 서비스 발견은 오직 기능적 측면에만 기반을 두기 때문에, 서비스의 사용 빈도와 상호간의 신뢰성에 미치는 영향은 고려하지 않았다. 즉, 웹 서비스의 비기능적 측면인 품질은 소비자와 제공자 상호간에 성공을 위한 중요한 요인이 될 것이며, 이에 품질을 고려한 웹 서비스 선정 방법이 요구된다. 본 논문에서는 서비스 소비자의 입장에서 소비자가 원하는 최적의 품질을 제공하는 서비스를 찾도록 도와주는 에이전트 기반 품질 브로커 아키텍처와 선정 프로세스를 제안한다. 웹 서비스와 같이 분산되고 이질적인 환경에서 에이전트에 관한 이론들은 널리 받아들여지고 있으므로 제안하는 시스템 아키텍처에 적합하다. 본 논문에서는 웹 서비스 선정에 관한 기존 연구의 문제점을 개선하기 위해 평가과정에서 QoS와 CoS를 고려하였으며, 평가 방법으로 다기준 의사결정 기법들 중에서 웹 서비스 선정에 가장 적합하다고 판단된 PROMETHEE(Preference Ranking Organization MeTHod for Enrichment Evaluations)를 사용하였다. PROMETHEE는 비교 서비스들이 추가되거나 삭제되더라도 이원비교를 다시 수행해야 하는 문제를 극복할 수 있는 장점이 있다. 본 논문에서는 제시한 선정 프로세스를 검증하기 위하여 서비스 조합 시나리오를 갖는 사례 연구를 제시하였다. 사례 연구에서 웹 서비스 선정 프로세스는 소비자 관점의 품질 측정값과 정의된 서비스 레벨을 바탕으로 의사 결정 문제를 기술하였다.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.561-573
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• 2021

Knowing how to build and maintain consumer trust is crucial for e-commerce. Despite the number of empirical studies that have explored the factors that influence consumer trust, none of them considers the relative importance of different antecedents and how they interact to influence consumer trust. Therefore, based on the integrated Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) approaches, we establish a hierarchical structural model, which not only demonstrates the intensity of the relationships but also identifies the interdependence among the drivers of consumer trust in E-commerce. The findings confirm that propensity to trust is the most important determinant of consumer trust. The brand-related factors and platform-related factors are prominent in the process of building trust as they influence consumer trust indirectly through propensity to trust. Geographic location, demographic variables, and high security are identified as the root causes that affect consumer trust through other trust antecedents. Furthermore, the findings of this study offer valuable insights into an important element of e-commerce and provide a useful platform for future research. More represented samples and factors are encouraged for further research to ensure research fairness and minimize consumer distrust and uncertainty.

• 대한가정학회지
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• 제26권1호
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• pp.21-31
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• 1988

The main problem of consumer behavior is choice since the outcome of me of a choice can only be known in the future, consumers are forced to deal with the risks of und\certainty. So, perception of risk is pivotal aspect of consumer behavior. This study was designed to investigate the relationships between purchasing behavior of textile and perceived risk. Data were obtained from 276 housewives. ANOVA, x2-test were employed to analyse the data. The result were : 1. general features of textile purchase behavior are as follows. Blend wools and pure wool products are prefered. Fall is the major season in purchasing textile. Wholesalers, department stores and agent stores are prefered. Purchasing decision making process independent upon not only textile itself but the practice value of the textile. Purchasing textile, married young women depend on outward shape of the textile, middle and old aged groups depend on the economic value of the textile and the credibility of the stores. 2. Perception of risk is relatively high in the preference of store, color/design, and psycological uncertainty. But the perceived risks is relatively low in brand, price and social credibility. 3. There is significant relationship between the recognition rate of risk and the sensitiveness of the consumer. In addition, there are strong relationship between the risk rate and the preference of shop, brand, and price. On the other hand, there are no significant relationship between the color, design, and sociopsyco-logical risk and demographic variables. 4. The perceived risk of consumer would be a key stone to grasp the consumer behavior. The product company needs to provide full information which could reduce the perceived risk of consumer. there attitude would help for the mutual interests. In the future research, we need to develop the precise methods for finding variables on the perceived risk during the process of making purchase intention.

• 패션비즈니스
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• 제5권4호
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• pp.37-55
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• 2001

This study put its major concern in consumer behavior during a purchase of fashion products through the Internet marketing channels. Therefore, it investigated the Internet shopping and tried to find the reasons why clothes shopping through the Internet marketing channels is not popular enough. Then, alternative marketing strategies would be suggested which is accessible from the relationship marketing approach. The study adopted a qualitative research method to implement those purposes. In-depth interviews were conducted with the interviewees who had an experience of buying a fashion merchandise through the Internet or who had such an intention. And the information on stages of decision-making process and actual purchase was obtained by participating in and observing the process. The results revealed stages of decision-making in purchasing a fashion product through the Internet channels, the process of relationship development, and the elements of relationship marketing which affect purchase intention. The elements of relationship marketing to promote a purchase of a clothing product via the Internet marketing channels included convenience; communication and socal experience; sensual information; risk acknowledgement and pursuit for safety; and usage of complexed marketing channels. Based on these, a few strategic points such as remote reality, database of communication basis, strengthening individualized services, and development of complex marketing channels were suggested.

• 복식문화연구
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• 제14권6호
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• pp.971-986
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• 2006

As baby boomer generations become older, these "New-age elderly" have emerged as an important consumer segment for apparel products. These young-minded elderly have positive attitudes to technology and enjoy many of high technology tool in their everyday life, which signals a huge market potential for internet apparel retailing targeting these elderly consumers. Internet apparel businesses are required to provide various consumer information to its consumers to facilitate the decision making process. For elderly consumers, who might have different shopping behaviors from the younger consumer segments, different kinds of information with higher quality would be required. As a preliminary step to develop internet consumer information model for elderly consumers, this study seeks to investigate the current practice of information offerings of internet apparel businesses for elderly consumers. Ten internet sites carrying apparel products for elderly consumers were selected and analyzed their offerings of consumer information by five researchers. This study found that internet apparel businesses targeting elderly consumers were still small-sized and lack of sophisticated technology to support these elderly consumers. Most web sites provided basic product information and service information but not fashion and trend related information. Managerial implications were discussed.

• 한국IT서비스학회지
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• 제2권1호
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• pp.123-133
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• 2003

Because of rapid evolution of software technique, numerous software professionals have been concerned with component based development methodologies. However, it is hard to find out a systematic technique for the selection of COTS (Commercial Off The Shelf) component in consumer position. Up to date, the major of component quality evaluation is object-oriented metric based evaluation methodology. But this paper present four step process and evaluation criteria based on MCDM (Multiple Criteria Decision Making) technique for optimal COTS component selection in consumer position. Weconsidered funtionality, efficiency, usability based on ISO/IEC 9126 for quality measurement and executed practical analysis about commercial EJB component in internet. This paper show that the proposed selection technique is applicable to optimal COTS component selection.

• 복식문화연구
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• 제31권5호
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• pp.607-626
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• 2023

This study analyzes consumer fashion purchase patterns from a big data perspective. Transaction data from 1 million transactions at two Korean fashion brands were collected. To analyze the data, R, Python, the SPADE algorithm, and network analysis were used. Various consumer purchase patterns, including overall purchase patterns, seasonal purchase patterns, and age-specific purchase patterns, were analyzed. Overall pattern analysis found that a continuous purchase pattern was formed around the brands' popular items such as t-shirts and blouses. Network analysis also showed that t-shirts and blouses were highly centralized items. This suggests that there are items that make consumers loyal to a brand rather than the cachet of the brand name itself. These results help us better understand the process of brand equity construction. Additionally, buying patterns varied by season, and more items were purchased in a single shopping trip during the spring season compared to other seasons. Consumer age also affected purchase patterns; findings showed an increase in purchasing the same item repeatedly as age increased. This likely reflects the difference in purchasing power according to age, and it suggests that the decision-making process for pur- chasing products simplifies as age increases. These findings offer insight for fashion companies' establishment of item-specific marketing strategies.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.197-204
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• 2020

Nowadays, many construction engineering and technology enterprises are evolving to find that prosperity is driven and inspired by an open economy with dynamic markets and fierce multifaceted competition. Besides brand and product uniqueness, the ability to quickly provide customers with quotes are matters of concern. Such a requirement for prompt cost estimation of construction investment projects with the use of a construction price index poses a significant challenge to contractors. This is because the nature of the construction industry is shaped by changes in domestic and foreign economic factors, socio-financial issues, and is under the influence of various micro and macro factors. This paper presents a fuzzy decision-making approach for calculating critical factors that affect the construction price index. A qualitative approach was implemented based on in-depth interviews of experts in the construction industry in Vietnam. A synthetic comparison matrix was calculated using Buckley approach. The CoA approach was applied to defuzzified the fuzzy weights of factors that affect the construction price index. The research results show that the top five critical factors affecting the construction price index in Vietnam are (1) consumer price index, (2) gross domestic product, (3) basic interest rate, (4) foreign exchange rate, and (5) total export and import.