• Asia pacific journal of information systems
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• v.30 no.1
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• pp.94-119
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• 2020

Digital platforms characterized by network effects enable provisioning of various types of services and provide a mechanism for linking producers and consumers. Identifying the key Quality of Service attributes of such platforms is vital for their continued success and growth. In this paper, a set of quality attributes for platforms is first extracted from different extant quality models. Then actual user feedback data from three platform providers are analysed and mapped against the set of quality attributes to determine the key attributes that are relevant. These findings are corroborated with qualitative data from interviews of different stakeholders. The results show that service quality characteristics are important to the success of platforms. Functional characteristics of platforms assume importance where the digital contributions of the platform is higher. Apart from these, 'fitness for use' as a major determinant of quality is also important in digital platforms.

• The Research Journal of the Costume Culture
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• v.31 no.3
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• pp.310-329
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• 2023

To compete with the growth of fashion shopping platforms in the online fashion market, general shopping platforms have begun to expand their product categories to include fashion items. This research examines the characteristics that influence consumers' trust in each of these platforms and their intention to reuse them. Applying the concept of platforms, this study also distinguishes between general shopping platforms and fashion shopping platforms and compares their characteristics. This study surveyed 788 consumers in their 20s and 30s with experience in using general shopping platforms or fashion shopping platforms (389 and 399 respondents, respectively). SPSS was used to conduct frequency analysis, factor analysis, and cross-tabulations, and AMOS was used to conduct confirmatory factor analyses and structural equation analyses. The results were as follows: platform reputation, shopping convenience, and interactivity all influenced consumer trust. For fashion shopping platforms, the product quality factor significantly improved consumer trust. However, for general shopping platforms, the product quality factor only influenced reuse intentions to reuse and did not contribute to improving trust. Platform reputation and information offering have influenced reuse intentions for both shopping platforms. Regardless of the type of shopping platform, platform reputation has influenced reuse intentions and consumer trust, and platform esthetics didn't have affect consumer trust and consumers' reuse intentions. Consumer trust influenced the intention to reuse on both platforms.

• Journal of the Korea Fashion and Costume Design Association
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• v.26 no.2
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• pp.1-14
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• 2024

Digital transformation has been actively evolving through the use of digital platforms. The fashion industry also utilizes digital platforms and significant changes have become particularly evident in fashion shows. Therefore it is essential to research digital fashion shows. The purpose of this study is to analyze the evolution of digital fashion shows in terms of their form and characteristics in response to changes in digital platforms. The research method consisted of literature research and case analysis. In this study, the development stages of digital platforms were divided into four stages: Internet platforms, SNS platforms, Metaverse platforms, and Artificial Intelligence platforms. Results were derived by analyzing digital fashion shows published on digital platforms at each stage. Internet digital fashion shows were used as an ancillary implement for fashion shows. SNS digital fashion shows expanded the fashion presentation method by experimenting with various fashion show formats. The Metaverse Digital Fashion Show offers a unique experience by integrating Virtual Reality and digital technology to create visual effects customized for the virtual environment. The Artificial Intelligence digital fashion show used virtual graphics created using Artificial Intelligence. Digital fashion shows will continue to evolve and become a significant digital strategy for fashion content and brands. The change in the format of digital fashion shows clearly showcases the characteristics of each stage, but the formats appear to merge during the development process.

• Journal of the Korea Safety Management & Science
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• v.16 no.3
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• pp.89-100
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• 2014

Construction victims have increased year by year. Disaster proportion is also increasing continuously. Looking over the causes of disasters by each type of work, fall from working platform indicate the highest rate above all so that it is urgently required to set up safety measures. This study is to grasp the present status of construction accidents, to identify areal characteristics of the top 20% accidents on the basis of working platforms with the highest accident rate, to grasp the causes of accidents after their analyses, and to present methods to reduce casualties related to working platforms. As measures to reduce construction disasters, this study proposes to improve safety management and training on working platforms, to complement safety regulations, and to better performance including the development and expansion of certified products suitable for safety regulations.

• The Research Journal of the Costume Culture
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• v.31 no.5
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• pp.669-691
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• 2023

This study aims to analyze the variations in online clothing purchasing patterns based on demographic attributes and purchasing behavior. The survey subjects comprised individuals in their 10s to 50s who had prior experience with online shopping. The survey was conducted in Gyungnam from May to June 2022. A total of 397 questionnaires were analyzed using the χ²-test statistical method. The analysis of clothing purchase type based on demographic characteristics revealed differences in terms of gender, marital status, age, monthly income, and occupation. Notably, when analyzed by demographic characteristics and clothing purchase types, monthly online purchase frequency displayed significant differences in marital status, age, and occupation. Similarly, monthly purchase amounts through online platforms exhibited significant variations based on marital status, age, monthly income, and occupation. The online fashion platforms, when examined in relation to demographic characteristics and purchase types, showed significant differences across all variables. Clothing purchases by consumers seeking individuality and differentiation exhibited significant differences in age, occupation, and purchase types. Furthermore, the reasons for choosing online platforms for clothing purchases varied significantly based on age and occupation. These findings indicate diverse purchasing behaviors on online platforms influenced by demographic characteristics. These findings can be valuable for effectively segmenting the online fashion market.

• STI Policy Review
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• v.6 no.1
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• pp.70-84
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• 2015

The paper discusses technology platforms as an instrument of science, technology and innovation policy in light of their use in industrial R&D. The authors assert that the technology platforms approach as a policy concept refects special organizational and institutional features learned from industrial technology platforms. The characteristics of industrial technology platforms are reviewed, and their impact on the organization of research, development and innovation activities in companies is explored. Second, the industrial technology platform is examined in the context of European Technology Platforms and the recent initiative for technology platforms in Russia. Finally, the technology platform concept implications for the STI policy context are discussed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• Journal of the Microelectronics and Packaging Society
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• v.17 no.4
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• pp.27-33
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• 2010

We have successfully demonstrated a high-pin-count and thin embedded-LSI package to realize next generation's mobile terminals. The following three design key points were applied: (i) Using Cu posts, (ii) Using the coreless structure, (iii) Using a Cu plate as the ground plane. In order to quantitatively determine the contribution of the three points, the five-stage process for reducing the number of metal layers is described by means of the electrical simulation. The point-(i) and (ii) are effective from the viewpoint of the power integrity (PI); that is, these points play important roles in reducing the number of metal layers, and especially the point-(ii) contributes at least twice as the point-(i). The point-(iii) is not effective in the PI, but has a few effects on the signal integrity (SI). For reducing the number of metal layers, we should, at first, pay attention whether the PI characteristics fulfill the specification, and then we should confirm the SI characteristics.

• ETRI Journal
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• v.25 no.2
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• pp.73-80
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• 2003

This paper describes an effective method for forming silicon oxide on silica-on-silicon platforms, which results in excellent characteristics for hybrid integration. Among the many processes involved in fabricating silica-on-silicon platforms with planar lightwave circuits (PLCs), the process for forming silicon oxide on an etched silicon substrate is very important for obtaining transparent silica film because it determines the compatibility at the interface between the silicon and the silica film. To investigate the effects of the formation process of the silicon oxide on the characteristics of the silica PLC platform, we compared two silicon oxide formation processes: thermal oxidation and plasma-enhanced chemical vapor deposition (PECVD). Thermal oxidation in fabricating silica platforms generates defects and a cristobalite crystal phase, which results in deterioration of the optical waveguide characteristics. On the other hand, a silica platform with the silicon oxide layer deposited by PECVD has a transparent planar optical waveguide because the crystal growth of the silica has been suppressed. We confirm that the PECVD method is an effective process for silicon oxide formation for a silica platform with excellent characteristics.

• Fashion & Textile Research Journal
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• v.25 no.1
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• pp.24-40
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• 2023

Contemporary consumers' acceptance of second-hand products has been increasingly improving worldwide, especially in China. Based on the Extended Unified Theory of Acceptance and Use of Technology, we developed and empirically validated a research framework to predict consumers' motivation to use re-commerce platforms. We explored the diverse factors influencing mobile commerce usage through re-commerce platforms. Furthermore, this study investigated the role of gender differences as a factor moderating the association between several constructs and the intention to use re-commerce platforms. A total of 226 consumer responses were collected. The results indicated that hedonic motivation, performance expectancy, consumer habits, social influence, and price value affect consumers' attitudes toward re-commerce platforms. The effects of the attitude toward re-commerce platforms on the intention to use these platforms were also statistically significant. When effort expectancy, hedonic motivation, and consumer habits in re-commerce platform usage increase, male consumers' attitude toward its usage, in particular, also increases. Meanwhile, when performance expectancy, hedonic motivation, and consumer habits in re-commerce platform usage increase, the attitude toward its usage increases among female consumers. Moreover, our results indicate that the two gender groups present different characteristics regarding re-commerce platform usage. Therefore, this study offers a theoretical basis for future analyses of second-hand trade.