• Fashion & Textile Research Journal
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• v.19 no.1
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• pp.19-29
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• 2017

This study identified the purchase decision-making process of outdoor wear consumers and examined the hypothesis that consumer satisfaction mediates the relationship between purchase decision-making process and repurchase intention. Data were acquired from a survey and analyzed with descriptive, factor analysis, reliability analysis and multiple regression analysis. Respondents were 454 adults who have purchased outdoor wear. The results are as follows. First, the purchase decision-making processes of outdoor wear consumers consisted of a series of steps: need recognition & passive information search, active information search, evaluation of alternatives with practical attributes, evaluation of alternatives with unpractical attributes, purchase decision, and post-purchase evaluation. Second, four purchase decision-making processes (except for need recognition & passive information search and active information search) had significantly positive effects on consumer satisfaction. Third, the need recognition & passive information search, the evaluation of alternatives with unpractical attributes and post-purchase evaluation had significantly positive effects on repurchase intention. Lastly, the partial mediation of consumer satisfaction in the relationship between two purchase decision-making processes (evaluation of alternatives with unpractical attributes and post-purchase evaluation) and repurchase intention were indicated. This academic study will help to understand the purchase decision-making processes of outdoor wear and allow companies to obtain information (from the industrial aspect) about which process to invest in and how to manage the process.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.6
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• pp.760-771
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• 1998

The purpose of this study is to clarify the concept and construct of the problem recognition stage in consumer decision making process of apparel Purchase. This study was supplemented by the theoretical study and field interviews. 40 women were interviewed on their apparel purchase situation to identify problem recognition process. As a result, the concept of problem recognition in apparel purchase is the perceived difference between the ideal state of apparel affairs and the actual situation sufficient to arouse and activate the decision making process. And the problem recognition stage in apparel purchase is constituted of the following steps: gestation, categorization, problem definition, and purchase intention formation. In most cases, these four steps existed, but in some cases several steps were deleted or condensed.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.10
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• pp.1601-1610
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• 2009

Unplanned purchase is an unexpected buying behavior affected by product or marketing stimuli. Unplanned purchase does not follow the order of the rational decision making process. Through an in-depth interview, this study classified the types of unplanned purchase of clothing and examined the decision-making processes. The results (according to the need recognition level of consumers prior to stimuli) show three types of unplanned purchase of clothing products that are classified as: the need-manifesting type, the need-embodying type, and the need-reminding type. In addition, each type is reclassified into the high-cognition type and the low-cognition type according to the cognitive effort level of consumers during the purchase decision-making process. The need-manifesting type recognized a buying need after exposure to stimuli and then engaged in unplanned purchases. The need-embodying type recognized a problem, but the purchase intention was not concrete. The need-reminding type recognized a desire to buy clothing products, but temporarily forgot it, and then later remembered the problem recognition from the past after experiencing the stimuli.

• Journal of the Korea Society for Simulation
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• v.12 no.1
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• pp.49-58
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• 2003

There have been growing recognition on the needs of coordination of diverse activities across cross-functional business areas necessarily involving group decision-making processes. Although many group decision-making support tools and methods have been introduced to enable the collaborative processes of group decision-making, they often lack features supporting the dynamic complexity issues. This study proposes system dynamics modeling approach based on simulation techniques to deal with the group decision-making tasks having properties of dynamic complexity.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.68-80
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• 2022

Since the launch of AI, technology development to implement complete and sophisticated AI functions has continued. In efforts to develop technologies for complete automation, Machine Learning techniques and deep learning techniques are mainly used. These techniques deal with supervised learning, unsupervised learning, and reinforcement learning as internal technical elements, and use the Big-data Analysis method again to set the cornerstone for decision-making. In addition, established decision-making is being improved through subsequent repetition and renewal of decision-making standards. In other words, big data analysis, which enables data classification and recognition/recognition, is important enough to be called a key technical element of AI function. Therefore, big data analysis itself is important and requires sophisticated analysis. In this study, among various tools that can analyze big data, we will use a Python program to find out what variables can affect addiction according to smartphone use in a decision tree environment. We the Python program checks whether data classification by decision tree shows the same performance as other tools, and sees if it can give reliability to decision-making about the addictiveness of smartphone use. Through the results of this study, it can be seen that there is no problem in performing big data analysis using any of the various statistical tools such as Python and R when analyzing big data.

• Human Ecology Research
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• v.54 no.6
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• pp.599-610
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• 2016

The purposes of this study are to identify the characteristics of limited edition fashion consumers, to analyze their purchase decision-making processes, and to examine negative factors of consumers' recognition toward limited edition fashion products. A qualitative investigation was conducted by doing in-depth interviews with 11 selected consumers in their twenties and thirties who have actively purchased and consumed limited edition fashion products. The results of this study can be summarized as follows. First, there are four sub-categories of appearance management activity, acceptance of fashion trend, information-seeking behavior, and hedonic shopping orientation for the limited edition fashion consumers' characteristics. Second, the purchase decision-making process of limited edition fashion consumers are identified as seven steps: need recognition, information search, evaluation of alternatives, planning and courtship, purchase, post-purchase evaluation, and post-purchase behavior. Courtship/attachment formation and post-purchase behavior are unique steps when compared to general purchase decision-making process. Third, this study identified negative factors of consumers' recognition toward limited edition this study in order to suggest several improvement plans for enterprises using limited marketing. Four sub-categories are examined: outrageous price, tricks of company, fatigue due to purchasing competition, and re-sellers. In conclusion, this study indicates that the purchase decision-making process of limited edition consumers, which involves two distinctive steps including courtship/attachment formation and post-purchase behavior, can be differentiated from general consumers. The results of this study provides preliminary data for further research for in-depth analysis of limited edition consumers.

• Journal of the Korean Home Economics Association
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• v.19 no.4
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• pp.73-84
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• 1981

The purpose of this study was to examine the conjugal role structure in the purchasing decision process : problem precognition, information seeking and evaluating, final decision, and actually making the purchase, through a survey of the degree of conjugal involvement. The specific objectives were 1) to examine the conjugal role structure and differences at each phase of the decision process in purchasing of residence and twelve durable household consumer goods, 2) to determine the differences between conjugal role structure in each phase of the purchasing decision process and conjugal demographic factors(number of years married, conjugal education level, conjugal occupation, and income). Questionnaires were given to randomly selected husbands and wives in /seoul I October, 1980. data from the 275 responses were analyzed by percentage, mean, and F-test(analysis of variance). The results are as follows : 1) The conjugal role structure for the purchasing decision process of residence and twelve durable household consumer goods was analyzed by percent. It was found that role structure was specialized by the type of item. for instance, furniture and home appliances were purchased by wives; amusement goods and cars were purchased by husbands' and residence was purchased by joint. However, conjugal role structure in the purchasing decision process differed by phased of process : (1) Wives involvement in the phase of problem recognition was greater than their involvement in information seeking and evaluating, but husbands' involvement a in the phase of information seeking and evaluating was slightly greater than their involvement in problem recognition. (2) Husbands' involvement in the phase of making the final decision was far greater than their involvement I information seeking and evaluating. (3) Wives' involvement in the actually making of the purchase was far greater than their involvement in making the final decision. 2) Only one among conjugal demographic factors was significantly related to conjugal role structure. That, is, conjugal role structure in the purchasing decision process showed that the wives' involvement I making the final decision and in actually making the purchase increased with number of years married.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.193-201
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• 2020

The main objective of this study is to investigate the impact of additional modalities on the performance of emotion recognition using speech, facial expression and physiological measurements. In order to compare different approaches, we designed a feature-based recognition system as a benchmark which carries out linear supervised classification followed by the leave-one-out cross-validation. For the classification of four emotions, it turned out that bimodal fusion in our experiment improves recognition accuracy of unimodal approach, while the performance of trimodal fusion varies strongly depending on the individual. Furthermore, we experienced extremely high disparity between single class recognition rates, while we could not observe a best performing single modality in our experiment. Based on these observations, we developed a novel fusion method, called parametric decision fusion (PDF), which lies in building emotion-specific classifiers and exploits advantage of a parametrized decision process. By using the PDF scheme we achieved 16% improvement in accuracy of subject-dependent recognition and 10% for subject-independent recognition compared to the best unimodal results.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.674-679
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• 1998

In this paepr, we proposed a new way to make a pre-pruned searching tree for GO game moves from macroscopic strategy described in linguistic expression. The strategy was a consequence of macroscopic recognition of GO game situations. The definitions of fuzzy macroscopic strategy, fuzzy tactics and tactical sequences using fuzzy set are shown and its family, so called "multi level fuzzy set". Some examples are also shown.

• Industrial Engineering and Management Systems
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• v.13 no.3
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• pp.267-277
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• 2014

In this paper, we propose an educational system that involves a business game simulator and related curriculum. To develop these two elements, we examined the decision-making process related to business management and identified some significant skills thereby. In addition, we created an original simulator, named BizLator (http://bizlator.com), to help students develop these skills efficiently. Next, we developed a curriculum suitable for the simulator. We confirmed the effectiveness of the simulator and curriculum in a business-game-based class at Aoyama Gakuin University in Tokyo. On the basis of this, we compared our education system with a conventional system. This allowed us to identify advantages of and issues with our proposed system. Furthermore, we proposed a speech recognition support system named BizVoice in order to provide the teachers with more meaningful feedback, such as level of students' understanding. Concretely, BizVocie fetches students' speech of discussion during the game and converts the voice data to text data with speech recognition technology. Finally, teachers can grasp students' parameters of understanding, and thereby, the students also can take more effective class using BizLator. We also confirmed the effectiveness of the system in the class of Aoyama Gakuin Universiry.