• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.5 s.164
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• pp.753-764
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• 2007

Apparel goods can be customer-oriented in the extreme and the apparel industry is one of the most customer-centered industries that should maximize customers' satisfaction. Recently, mass customization, a customer-centered system is widely discussed in the apparel industry to provide consumers with new, differentiating, distinctive, yet personalized products. The purpose of this study is to provide useful insights for apparel brands' mass customization(hereafter, MC) implementation by comparing the apparel brands' current status with consumers' expectation. One hundred apparel brands' practitioners and 116 consumers were surveyed in this research. First, we found that, on the basis of the five stages of MC presented by Pine(1993), apparel brands' MC stages were identified. Then, customers' expectation levels were examined according to the five stages. When compared the gap between the customers' expectation level and the apparel brands' implementation, consumers' expectation of MC was significantly higher than the implementation level by apparel brands for the stage 2(customized products creation), the stage 5(modular production). Second, by conducting a factor analysis with the scales measuring the MC activities of the five stages, apparel brands' current MC strategies could be classified as 'mass customized strategy', 'quick response strategy', 'MOT(moment of truth) customized strategy', and 'individualized service strategy.' Apparel brands showed significant differences in mass customized strategy, quickresponse strategy, and MOT customized strategy according to their product characteristics. Finally, consumers' expectation level of MC strategies was significantly different by their characteristics such as shopping orientation.

• Journal of the Korean Society of Physical Medicine
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• v.18 no.3
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• pp.73-84
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• 2023

PURPOSE: This study analyzed the impact of AI and biosensors on physical therapy, identifying the stage of customized technology development and future prospects. AI and biosensors improve the efficiency, establish customized treatment plans, and expand patient treatment opportunities. The study employed a literature review by searching databases and collecting research. METHODS: This study searched various databases related to the topic, collected existing research, papers, and reports, evaluated the literature, and summarize the results. RESULTS: Exercise therapy utilizing artificial intelligence can provide personalized and optimal exercise plans while monitoring rehabilitation progress. In addition, biosensors such as EMG sensors and accelerometers can monitor the individual progress in physical therapy, particularly in stroke patients, which can help improve physical therapy strategy and promote patient recovery. CONCLUSION: This study suggested that artificial intelligence can be applied in many areas of physical therapy, such as exercise therapy, customized treatment plans, rehabilitation and management, pain management, neuro rehabilitation, and auxiliary devices. Using AI technology, it is possible to analyze and improve exercise and posture, retrain the central nervous system, establish customized treatment plans for individual patients, predict and compare patient progress before and after treatment, and provide customized pain analysis and treatment methods. In addition, AI can provide neuro rehabilitation programs and customized auxiliary devices.

• The Journal of Information Systems
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• v.26 no.3
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• pp.47-61
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• 2017

Purpose Although automobile production has increased since the development of the Korean automobile industry, the number of customers who can purchase automobiles decreases relatively. Therefore, automobile companies need to develop strategies to attract customers and promote their repurchase behaviors. To this end, this paper analyzed customer data from a Korean automobile company using data mining techniques to derive repurchase strategies. Design/methodology/approach We conducted under-sampling to balance the collected data and generated 10 datasets. We then implemented prediction models by applying a decision tree, naive Bayesian, and artificial neural network algorithms to each of the datasets. As a result, we derived 10 patterns consisting of 11 variables affecting customers' decisions about repurchases from the decision tree algorithm, which yielded the best accuracy. Using the derived patterns, we proposed helpful strategies for improving repurchase rates. Findings From the top 10 repurchase patterns, we found that 1) repurchases in January are associated with a specific residential region, 2) repurchases in spring or autumn are associated with whether it is a weekend or not, 3) repurchases in summer are associated with whether the automobile is equipped with a sunroof or not, and 4) a customized promotion for a specific occupation increases the number of repurchases.

• Journal of Information Technology Applications and Management
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• v.26 no.1
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• pp.39-51
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• 2019

As data grows rapidly, the provision of appropriate information needed by individuals has become an area of new services, and customized services which is enabling the analysis of optimal services through collecting, storing, and analyzing personal data are emerging in many fields. However, due to the characteristics of customized services based on various information collected by customers during the use of the service, the problem of privacy infringement is raised at the same time, and many studies are being actively conducted to solve this problem. This study seeks to explore how the customer's in-depth and customized services has an impact on their customers, which has not been derived from quantitative research using the grounded theory methodology. Through this, 84 concepts, 33 subcategories, 13 Categories and paradigm models were derived. In addition, 'Understanding and acceptance of online behavioral advertising (OBA)' was derived as a core category, and finally, acceptance types of OBA were classified into 'positive acceptance type', 'indifferent type', 'calculating type', and 'active resistance type' based on the key categories. This study divides the acceptance types of online behavioral advertising through the emotions and behaviors of the consumers throughout the procedure of online behavioral advertising experiences. In addition to the statistical and quantitative information currently used for providing behavioral advertising, it provides new criteria to reflect the refinement of behavioral advertising and personal tendencies or characteristics.

• Management & Information Systems Review
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• v.38 no.4
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• pp.1-24
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• 2019

This study confirms the responses of consumers when the composition of emoticon bundles can be selected by individuals in MIM service. This aims to verify that customized bundling is a valid marketing strategy in the MIM emoticon market. Currently, the emoticon bundling used in Korean MIM services is in the form of pure bundling. As a result, Consumers must purchase an entire bundle even though he/she doesn't need to use all the emoticons contained in it. Some researches(e.g. Hitt & Chen, 2005; Wu & Anandalingam, 2002) show that when consumers value only part of the products or services included in pure bundling, customized bundling is much more profitable. In their works, customized bundling is appropriate when marginal costs are near zero. Information goods, such as emoticons, meet the condition. On the other hand, customized bundling increase the choosable options, so it can pose a problem of complexity (Blecker et al., 2004). And consumers may experience information overload(Huffman & Kahn, 1998). Thus, judgement on the necessity to introduce customized bundling needs to be made through empirical analyses in the light of characteristics of the product and the reaction of consumers. Results show that when customized bundling was introduced, consumers' purchase intention and willingness to pay significantly increased. Purchase intention for customized bundles has increased by 0.44 based on the five point Likert scale than the purchase intention for existing pure bundles. The increase in purchase intention for customized bundles was statistically independent of the existing purchasing experience. In addition, the willingness to pay was increased by about 2.8% compared to the price of the existing emoticon bundles in the whole group. The group with experience in purchasing pure bundles were willing to pay 5.9% more than pure bundles. The other group without experience in purchasing pure bundles were willing to buy if they were about 5% cheaper than the existing price. Overall, introducing customized bundling into emoticon bundles can lead to positive consumers responses and be a viable marketing strategy.

• Proceedings of the Korea Database Society Conference
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• 2001.11a
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• pp.347-369
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• 2001

o Contents 가치 증대, 보다 편리한 Contents유통, Contents 확보 비용 절감 효과 o 수익 극대화를 위한 최적의 Contents 제공, Customized Contents 제공 o 효율적인 Contents생산 및 유통 인프라 구축 (중략)

• Journal of Technology Innovation
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• v.29 no.1
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• pp.1-38
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• 2021

In this paper, an exploratory analysis study was conducted on establishing a strategy to utilize living labs to enhance the innovation of the energy sector. Through the previous research literature, it was possible to confirm the concept, essential components, innovation characteristics of living labs, and types of innovation issues in the energy sector as the theoretical background. Based on this, the case studies of energy living lab (8 overseas, 1 domestic) were analyzed focusing on the possibility of utilizing living lab as an approach to innovation issues in the energy sector, establishing a customized strategy for essential components of living lab and enhancing innovation. It was confirmed that the establishment of a customized strategy for the essential components of the living lab could be a driving force in enhancing innovation, and the Living Lab is effectively used as an approach method for innovation issues(demand management, supply technology, enhance R&D acceptance and promote commercialization, technology policies) in the energy sector. As a result of the case studies, the driving force of each living lab was derived from the viewpoint of contributing to innovation, and strategies for using the living labs for each energy innovation problem were established. This study is an exploratory and descriptive analytical study of the utilization strategy and value of the living lab model as an approach to innovation issues in the energy field, which can provide a living lab strategy framework that has not been tried in the past and enables living lab activation and network formation. It can also be considered to have academic, practical, and policy implications in that it can also contribute.

• Korean Journal of Health Education and Promotion
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• v.33 no.4
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• pp.89-100
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• 2016

Objectives: Life style modification leads to decrease health risk and change of health status for person at health risk. This study aimed to suggest essential components and effective strategies for customized health management service to provide individual and risk group in public and private health care organizations. Methods: To systematic review the essential component of health management service, I performed to collect political legislation, research papers, reports, publication and public release for heath management service from 2008 to 2016. Essential components of heath management service were service scope, service design, organizations and applied technology. Results: Service cope was composed of health risk factors, such as smoking, drinking, nutrition, physical activity and weight control. Main strategies were customized health management services, personalized behavior modification programs, evidence-based service protocol, utilization of information and communications technology (ICT), multi-dimension and multi-level approach, and public and private organizations partnership through health policies and health care system. Conclusions: To make the most of the limited resources, it should require a systematic approach that focuses on continuous monitoring and partnership of health management service.

• Journal of Power Electronics
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• v.16 no.6
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• pp.2284-2293
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• 2016

With the rapid development of clean energy, photovoltaic (PV) generation has been utilized in the harmonic compensation of power systems. This paper presents a novel multi-function PV micro-inverter with three stages (pseudo-two-stage). It can inject active power and compensate harmonic currents in the power grid at the same time. In order to keep the micro-inverter working under the maximum allowable output power, an optimized capacity limitation strategy is presented. Moreover, the harmonic compensation can be adjusted according to the customized requirements of power quality. Additionally, a phase shedding strategy in the DC/DC stage is introduced to improve the efficiency of parallel Boost converters in a wide range. Compared with existing capacity limitation methods, the proposed strategy shows better performance and energy efficiency. Simulations and experiments verify the feasibility of the micro-inverter and the effectiveness of the strategy.

• Journal of The Korean Association For Science Education
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• v.34 no.5
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• pp.421-436
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• 2014

The purposes of this study were to develop the customized instructional programs by the causes of science underachievement and to identify the effectiveness of these programs. For these, we analyzed the characteristics of underachievers and causes of science underachievement and classified 22 7th grade science underachievers into three different types such as lack of science process skill, lack of science learning motivation, and lack of science learning strategy. They then were divided into the experimental and comparative groups. Instructional programs treated for both groups covered the same topics and were conducted once a week for 60 minutes each time for 15 weeks. Eleven students in the comparative group were treated with an activity-centered science program that dealt with basic science concepts. Unlike science underachievers in the comparative group, those in the experimental group were given customized instructional program. After the treatment, students were administered several tests including a test on awareness of the program, science process skill test, science learning motivation and strategy test, and academic science achievement test. In addition to the results of those tests, worksheets, daily activity reports, and interviews were used to evaluate a customized instructional program that was applied to the experimental group. Results of the study showed that these programs relieved science underachievers from the cause of poor achievement and accordingly help them achieve better performance in academics. In addition, both lack of learning motivation and lack of learning strategy types tended to relieve the other causes of science underachievement. Also, the experimental group showed a high level of satisfaction with the customized instructional programs.