• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.73-81
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• 2016

The electronic commerce environment allows customers to search for information and purchase products and services via direct contact with internet markets. Purchasing through the internet is not a real experience of purchasing, but is based on some pictures, information and advertisements of products. To improve E-commerce environment in Iran, purchasing behavior of Iranian young adults in the internet shopping mall is analyzed in this study. The factors which influence the motivation of internet shopping and the selection of internet shopping mall is investigated, and statistical tests were applied between these factors and other variables such as gender, job, age and education. The results of the tests showed that there is a gender difference on one of the shopping mall selection factor (i.e., abundant information about products); also there is a gender difference on the one of the shopping motivation factor (i.e., possibility of comparing products). Besides, there is a job difference (student or non-student) on the factor of 'Purchase frequency per month'. Other facts are also found that Iranian consumers are not sure about a product's quality, so they refuse to buy products such as foods, clothes and other products. Additionally, they are dissatisfied about the safety of internet shopping malls.

• The Journal of Industrial Distribution & Business
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• v.9 no.2
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• pp.57-63
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• 2018

Purpose - This research examined the effect of hedonic and utilitarian eating-out motivations on the evaluation of restaurant selection attributes in a fashion premium outlet. Additionally, the influence of experimental and functional attributes on customers' preference for hedonic eating-out motives and utilitarian eating-out motives, and variation of moderating effects through the gender was examined. Research design, data, and methodology - A survey was conducted to verify the established research hypothesis. The questionnaire items for the research were modified to fit the situation of the present study. In order to elaborate the questionnaire, the literature of the previous researchers was reviewed and supplemented. The survey conducted 207 online questionnaires for consumers who have visited domestic fashion premium outlets from July 4, 2017 to July 27, 2017. A total of 207 questionnaires were collected, and a total of 206 questionnaires were used for the empirical analysis after excluding one inappropriate response. In order to verify the reliability and validity of the measured variables, exploratory factor analysis and reliability analysis were performed using SPSS 20.0. Next, the structural equation model (SEM) statistical method was used to test the hypotheses of the study. Results - Hedonic motivation had more influence on experimental attribute importance than the functional attribute importance of the restaurant. However, this result was different depending on the gender. The effects of hedonic motives on empirical attributes were more influenced by female groups, and when influencing functional attributes, male groups were more influenced. However, it was statistically significant (p <0.05) in the female group only when the hedonic eating out motives influenced empirical attributes. Conclusions - This study analyzed the effect of eating-out motivation on the restaurant preference attributes and suggested practical implications. First, customers with hedonic eating-out motivations were evaluating experiential attributes to be more important than functional attributes. Second, for customers who are motivated to use practical eating-out habits, companies should provide services that meet practical and economic needs. In particular, female customers visiting restaurants need differentiated marketing strategies that make them feel new experiences rather than practical ones. In addition, it is necessary to study more complex and integrated studies which will influence restaurant selection attributes of premium outlets customers by adding various eating out motives and selection attributes.

• Therapeutic Science for Rehabilitation
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• v.12 no.2
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• pp.43-53
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• 2023

Objective : In this study, the rehabilitation motivation evaluation tool for stroke patients was identified, and the characteristics of the evaluation tool were analyzed to analyze the conceptual framework and characteristics used in the composition of the evaluation contents. Methods : From 2000 to May 2022, documents registered in major domestic and foreign databases (PubMed, NDSL, Medline, and EMbase) were searched and selected according to the selection and exclusion criteria. The evaluation tools used in the selected documents were analyzed, and the characteristics of this evaluation tool were analyzed. Results : A total of 30 documents were selected, and they were classified into a total of five rehabilitation motivation evaluation tools. The most widely used in Korea was the measurement tool for rehabilitation motivation for the disabled, and the most widely used overseas was the intrinsic motivation inventory. Three evaluation tools constructed the evaluation contents based on the self-determination theory, and two constructed the evaluation contents through expert agreement. The number of evaluation items and 8 to 45 items were varied, and the evaluation scale was also used in various ways from 4 to 7 point scale. Conclusion : It was possible to identify the evaluation tools mainly used for the evaluation of rehabilitation motivation, and to identify the main conceptual framework based on the development of the rehabilitation motivation evaluation tool. The results of this study are expected to be used as basic data for research on the development of rehabilitation motivation evaluation tools for stroke patients in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.273-276
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• 2000

This paper describes on-going research, applying an artificial immune system to the problem of network intrusion detection. The paper starts by introducing the motivation and rationale of this research. After describing the overall architecture of the proposed artificial immune system fur network intrusion detection, the real network traffic data and its profile features used in this research are explained. As the first step of this effort, the negative selection algorithm, which is one of three significant evolutionary stages comprising an overall artificial immune system, is investigated and initial results are briefly discussed. Finally, the direction of future work is discussed based on this initial result and the contribution of this research is addressed.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.37-64
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• 2022

As the social acceptance of artificial intelligence increases, the number of cases of applying machine learning methods to companies is also increasing. Technical factors such as accuracy and interpretability have been the main criteria for selecting machine learning methods. However, the success of implementing machine learning also affects management factors such as IT departments, operation departments, leadership, and organizational culture. Unfortunately, there are few integrated studies that understand the success factors of machine learning selection in which technical and management factors are considered together. Therefore, the purpose of this paper is to propose and empirically analyze a technology-management integrated model that combines task-tech fit, IS Success Model theory, and John Rice's algorithm selection process model to understand machine learning selection within the company. As a result of a survey of 240 companies that implemented machine learning, it was found that the higher the algorithm quality and data quality, the higher the algorithm-problem fit was perceived. It was also verified that algorithm-problem fit had a significant impact on the organization's innovation and productivity. In addition, it was confirmed that outsourcing and management support had a positive impact on the quality of the machine learning system and organizational cultural factors such as data-driven management and motivation. Data-driven management and motivation were highly perceived in companies' performance.

• The Research Journal of the Costume Culture
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• v.11 no.1
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• pp.1-10
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• 2003

The purpose of this study is to identify differences that married exist between married women´s buying motivations for imported and domestic formal two piece suits and to test the role of socioeconomic variables on those differences. Sample selection criteria included married women lit in8 in ,seoul. Korea, between ages 30∼59. Purposive sampling method was used to secure respondents It with experience with imported formal two-piece suits. Of 400 distributed. 246 usable questionnaires were returned. Statistical analysis of results included factor analysis, and paired t-tests. For both imported and domestic suits, the most important buying motivation was utilitarian, with qualify the most important consideration. Purchases of domestic suits were more influenced by factors such as advertisements, economics, impulse buying, approval of others, and current fashionability of style than were the purchases of imported suits. On the other hand, purchases of imported suits u·ere more influenced by factors such as prestige and utilitarian motivation than were purchases of domestic suits. For most socioeconomic variables, respondents indicated significant differences in their motivations for buying imported suits and domestic suits. The results of this study suggest the need for implementing different marketing strategies for imported suits and domestic suits.

• Journal of Korea Multimedia Society
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• v.10 no.12
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• pp.1714-1725
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• 2007

This paper describes a top-down behavior planning framework in a simulation game from personality to real life action selection. The combined behavior creating system is formed by five levels of specification, which are personality definition, motivation extraction, emotion generation, decision making and action execution. Along with the data flowing process in our designed framework, NPC selects actions autonomously to adapt to the dynamic environment information resulting from active agents and human players. Furthermore, we illuminate applying Gaussian probabilistic distribution to realize character's behavior changeability like human performance. To elucidate the mechanism of the framework, we situated it in a restaurant simulation game.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.29-33
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• 2004

본 논문에서는 인간과 엔터테인먼트 로봇의 상호작용을 위해, 동기(motivation)와 계층화된 감정(hierarchical emotion)에 기반한 행동결정 모델을 설계하였다. 감정모델은 계층화되고 학습 가능하도록 하여, 인간의 행동결정과 유사하게 동작하도록 하였다. 감정모델을 통해 로봇의 행동에 대한 인간의 반응이 학습되는데, 그 결과가 행동결정에 영향을 주어 로봇의 행동에 반영되도록 하였다. 감정모델과 함께 동기가 행동결정에 영향을 주는데, 초기에는 외부에서 주어지는 동기가 주로 행동을 결정하고, 감정모델이 학습될수록 점차 감정의 영향이 증가하여 동기와 계층화된 감정을 함께 고려하여 행동을 결정하도록 하였다. 그럼으로써, 인간과의 상호작용을 통해 정보를 축적하고 인간의 반응에 적응해나갈 수 있게 하였다

• Korean Journal of School Psychology
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• v.17 no.3
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• pp.287-306
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• 2020

The purpose of this study was to investigate the effect of motivation promotion on task performance. Unlike most previous studies that have used survey methods, this study examined the effects of motivation promotion on arithmetic and linguistic task performances under experimental conditions. Effort-inducing instructions and positive feedbacks were used to promote participants' motivation. Experiments 1 and 2 examined the effect of effort-inducing instructions and positive feedback on participants' autonomous selection of task difficulty when performing arithmetic and linguistic tasks. The results of the both experiments showed that the experimental group which received effort-inducing instructions and positive feedback chose more difficult task than the control group did. Experiment 3 examined whether motivation promotion enhances task performance and task persistence. The experimental group was more accurate and persistent than the control group. The results of the current study offer experimental evidence suggesting that activating intrinsic motivation through motivation promotion improves attitudes toward tasks and task performance.

• Publications of The Korean Astronomical Society
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• v.27 no.5
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• pp.431-438
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• 2012

A number of middle and high school students are selected at the Korea Astronomy Olympiad (KAO) in every year. In the first stage of the selection, the resume, school transcript, and recommendation letters from teachers are referred. In the second stage, after video lectures and weekend observation classes, students are tested with on-line homeworks, and interviewed through internet. For 118 students who have gone through the second stage of the 2012 KAO, we have conducted a questionnaire survey, which asks the students the motivation and preparation for the KAO. The survey has also included inquiries for the selection process and education program of the 2012 KAO; the replies will be used as feedbacks for the next year's KAO. The survey has revealed that the first stage worked well, while the second stage needs to be improved in terms of fairness and objectivity. We have found that most students received private tutorings for the KAO, so we suggest efforts should be made for students to be able to prepare the KAO without receiving private tutorings.