• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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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.

• Journal of Global Scholars of Marketing Science
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• v.13
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• pp.135-158
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• 2004

On-line consumers have some visit behavior characteristics when they visit internet-shopping mall between visit-stage and purchase-stage. Therefore, information of on-line consumers have influenced on internet-shopping mall's profitabilities at site manager's perspectives. For examples, Are any on-line consumers continuous visiting under any situations? Or are any on-line consumers purchased on any specific internet-shopping mall? Expecially in this paper, researcher tried to understand visit behavioral characteristics of on-line consumers using two-stage mixture regression analysis. Throughout this process, it could be proposed method, which could be reinforced competitiveness of internet-shopping mall by segmental decision-making method. Additionally, it is expected that visit behavioral characteristics' information could be supplied strategic implications between visit-stage and purchase-stage Throughout empirical test it could be proved two-stage decision-making process, which decision-making process of on-line consumers would be processed visit-stage and purchase-stage. In this study, researcher proposed suitable response strategy after understanding visiting behavioral characteristics of on-line consumers. This paper has some academical contributions, which visit behavioral characteristics of on-line consumers could be grasped the meaning by site stickiness and navigation pattern.

• The KIPS Transactions:PartD
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• v.13D no.4 s.107
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• pp.603-612
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• 2006

Recently the web service area is rapidly growing as the next generation IT paradigm because of increase of concern about SOA(Services-Oriented Architecture) and growth of B2B market. Since a service discovery through UDDI(Universal Description, Discovery and Integration) is limited to a functional requirement, it is not considered an effect on frequency of service using and reliability of mutual relation. That is, a quality as nonfunctional aspect of web service is regarded as important factor for a success between consumer and provider. Therefore, the web service selection method with considering the quality is necessary. This paper suggests the agent-based quality broker architecture and selection process which helps to find a service providing the optimum quality that the consumer needs in a position of service consumer. A theory of agent is accepted widely and suitable for proposed system architecture in the circumstance of distributed and heterogeneous environment like web service. In this paper, we considered the QoS and CoS in the evaluation process to solve the problem of existing researches related to the web service selection and used PROMETHEE(Preference Ranking Organization MeTHod for Enrichment Evaluations) as an evaluation method which is most suitable for the web service selection among MCDM approaches. PROMETHEE has advantages that solve the problem that a pair-wise comparison should be performed again when comparative services are added or deleted. This paper suggested a case study with the service composition scenario in order to verify the selection process. In this case study, the decision making problem was described on the basis of evaluated values for qualities from a consumer's point of view and the defined service level.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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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.

• Journal of the Korean Home Economics Association
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• v.26 no.1
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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.

• Journal of Fashion Business
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• v.5 no.4
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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.

• The Research Journal of the Costume Culture
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• v.14 no.6
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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.

• Journal of Information Technology Services
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• v.2 no.1
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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.

• The Research Journal of the Costume Culture
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• v.31 no.5
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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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• v.7 no.8
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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.