• Knowledge Management Research
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• v.10 no.3
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• pp.17-33
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• 2009

The emergence of the Internet shopping agent enabled consumers to enjoy Internet shopping more easily and quickly. Especially, the role of Internet shopping agent is becoming more important following the information overload trend on the Internet in that the consumers can promptly obtain information about a certain product and its price among countless items on the Internet. As a result, consumers can now enjoy shopping more easily, compared to the offline shopping which requires a lot of efforts in comparing the products and purchasing them. Since the Internet shopping agents collect extensive information about the products' price, delivery period, detailed characteristics, etc., and present a comparison table containing the information to the consumers, the consumers can shop more quickly at lower price using such shopping agents. However, it has not been sufficiently studied about how the various functions of shopping agents actually support consumers' purchase decision making procedure in everyday life, and if they do, in which stages they play a supporting role in consumers' purchase decision making system. Therefore, this study conducts an empirical analysis on the role of the Internet shopping agents in the purchase decision making process of the consumers, considering the Internet shopping agent as a decision making supporting system. Moreover, it analyzes how the effects of the Internet shopping agent differs according to the consumers' knowledge level about the products.

• Journal of the Korea Safety Management & Science
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• v.17 no.1
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• pp.257-264
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• 2015

"Act on Facilitation of Purchase of Small and Medium Enterprise - Manufactured Products and Support for Development of Their Markets" was created and implemented. The act states that the materials designated by the Small and Medium Business Administration are directly purchased from the small and medium enterprises and provided to the construction companies so that the materials can be provided as GFGI (Government Furnished and Government Installed) in the case of a public construction project. This thesis is aimed to analyze the current status on the problems of each project party and understand their improvement requests so that mutually beneficial plans can be sought and improved process is presented for the continuous development of the direct construction material purchase system as well as successful construction projects. And This thesis summarized the purpose of the institutions and their change histories, and related law as well as codes for the better understanding of administrative procedures for the purchase system and the analyses as well as the improved process on the difficulties in complying with the current institutions.

• Journal of Korean Institute of Industrial Engineers
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• v.28 no.3
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• pp.274-282
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• 2002

This paper discusses a multi-dimensional analysis for Customer Relationship Management (CRM). For this, We propose a decision-making methodology which employs three analysis models. The first model is a three-dimension positioning map to derive a strategy which achieves the Process Value Line (PVL). The second model is the web-shape analysis model to visibly understand the individual based on the customer CSI (Customer Satisfactory Index) data. The third model which supports the web-shape analysis model, is the relative satisfactory analysis model. It considers a satisfaction level after purchasing against before purchasing. Then we perform overall analysis based on the three analysis models to provide marketing strategies to decision makers.

• Journal of the Korean Institute of Navigation
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• v.24 no.1
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• pp.73-84
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• 2000

Shipping industry continues to face dramatic changes in its environment ranging from development in containerization, computerization and telecommunications to the emergence of global marketplace. Perhaps the most significant trend - representing both a threat and opportunity - is the increasingly competitive nature of shipping service market. In order for the shipping companies to cope with those improvements and challenges, they should analyze and clarify customer's DM(decision making) process for the purchase of container shipping service. The major research findings from the study were found as follows; 1) The degree of shipper's involvement in purchasing shipping services was found to be a discriminating variable affecting the information sources consisting of personal and non-personal information sources. 2) The positive relationship was found between the experiences on shipping services and non-personal information sources. 3) It was observed that as people had more experience searching for information, the more in depth their searches became. 4) There existed a positive relationship between knowledges on shipping services and information search. 5) According to the SEM analysis, the shipper's information search on shipping services was also found to have a great influence on the shipper's purchasing behavior. The shipper's search was resulted in positive customer satisfaction.

• The Journal of Information Systems
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• v.32 no.1
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• pp.85-108
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• 2023

Purpose The purpose of this study is to identify the role of digital shadow work(DSW) in the psychological mechanism that controls using and purchasing digital device accessories. More specifically, it is to reveal how the digital device user's perception of DSW is formed and how the formed DSW affects purchase and what results it will bring. Design/methodology/approach Ground theory method(GTM), one of qualitative appoaches, is adopted as research methodology. By interviewing total twenty five users, the data are analyzed by open coding amd axis coding. Two core codes are selected by selective coding and interpreted by DSW theory. Findings We find concern for potential DSW and generation of new DSW. Concern for potential DSW lead to the purchase of accessorie which would be supposed to reduce potential DSW. During purchasing accessories, quest type DSW, which provices flow experience and expertise, could be genterated. This means that there would be dynamics of DSW in the purchase process of digital device accessories.

• 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.

• Asia pacific journal of information systems
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• v.31 no.4
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• pp.448-471
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• 2021

Compared to consumers' focus, in the past, on the functional aspect of fashion products, consumers recently tend to place more importance on their impressive and memorable experiences in purchasing process. As consumer's interest changes from functional aspects to individual experience in purchasing process, fashion brands try to convey the identity of the brand through creating favourable consumers' experiences. Therefore, this study explores the effect of individuals' aesthetic experiences with fashion brands' SNS accounts on their attitudes. More specifically, the study evaluates whether consumers enjoy the flow of fashion brands' SNS accounts and form purchase intentions through their aesthetic experiences and product placement. Through a survey, empirical testing was done to investigate the effect of the aesthetic experience on of flow and purchase intentions. The current study tests the interaction effect among perceived aesthetic experience, narrative images, and product placement employing 2×2×2 MANOVA. The findings herein reveal that the aesthetic experience affects flow and purchase intention, and that there is a statistically significant interaction effect between aesthetic experience, narrative images, and product placement.

• The Journal of Society for e-Business Studies
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• v.8 no.3
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• pp.53-67
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• 2003

The importance of web Mining is highlighted with growth of Electronic Commerce. Web Mining is the important field of subject for studying customer's purchasing trend in Electronic Commerce. This research defined customer's purchasing process as Fuzzy environment in Electronic Commerce. And it suggests new methodology that introduces Fuzzy theory based on current Web Mining methodology

• Journal of Korea Society of Industrial Information Systems
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• v.2 no.2
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• pp.159-179
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• 1997

Traditionally, the evaluation and selection of suppliers have been a major purchasing function. A growing concern for just in-time purchasing, global sourcing, and long-term partnership between buyers and suppliers makes selecting a righ supplier become more critical decision making process. Consequently, a rigorous and systematic method for evaluation suppliers is a must. However, assessing the values of factors(e.g. qulaity , delivery, and service) selected for evaluating suppliers contains elements of uncertainty. Although several methods have been developed for uncertainty analysis, they may not be proper tools for evaluating suppliers under uncertainty. In this paper, a methodology using a fuzzy-set approach in combination with a multicriterion decision-making (MCDM) technique is developed to use as a tool for evaluating suppliers under uncertainty. An numerical example is presented to demonstrate the method in practice.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.143-146
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• 2004

With the rapid growth of e-commerce, marketers are able to observe not only purchasing behavior on what and when customers purchased, but also the individual Web usage behavior that affect purchasing. The richness of this information has the potential to provide marketers with an in-depth understanding of customer. Using commonly available Web log data, this paper examines Web usage behaviors at the individual level. By decomposing the buying process into a pattern of visits and purchase conversion at each visit, we can better understand the relationship between Web usage behavior and purchase decision. This allows us to more accurately forecast a shopper's future purchase decision at the site and hence determine the value of individual customers to the siteAccording to our research, not only information seeking behavior but also visiting duration of a customer and participative behavior such as participation in event should be considered as important predicators of purchase decision of customer in a cosmetic internet shopping mall.