• Title/Summary/Keyword: Platform attributes

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A Study on the Analysis of Quality Attributes on the Software Architecture for Development of a Navigation System Platform of Autonomous Ships

  • Ahn, Young-Joong;Lee, Yun-Sok
    • Journal of Navigation and Port Research
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    • v.43 no.6
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    • pp.353-360
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    • 2019
  • Technology-driven development of a new system makes it difficult for users and stakeholders to identify or intervene in the development process, resulting in systems with unnecessary functions and poor quality services. Applying the software architecture design process to the initial design of the navigation system platform of autonomous ships enables the development of a system that reflects the required functions and service quality of the stakeholders. The design, which includes all of the subsystems that make up an autonomous ship platform, is close to an enterprise architecture. Thus, we strived to design a navigation system platform suitable for the design range of the software architecture. This study analyzed the definition of functional requirements, and quality attributes by applying the software architecture design procedure. This study was conducted to identify the characteristics of the navigation system and platform needs, and the stakeholders were identified. To derive the functional requirements and constraints of the platform, a quality attributes workshop was held engaging stakeholders, and the results of the analysis of functional requirements and quality attributes were listed. Based on the results of this study, the architect can establish the evidence and technical solutions that are integral for the architecture development, and will facilitate the creation of quality attribute scenarios.

The Attributes Design Technique to Support Node Software Development for USN Multi-Platform (USN 멀티플랫폼을 위한 노드 소프트웨어 개발을 지원하는 속성 설계 기법)

  • Lee, Woo-Jin;Choi, Il-Woo;Kim, Ju-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.1
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    • pp.441-448
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    • 2014
  • USN(Ubiquitous Sensor Network) application software has a characteristic that it controls a variety of sensor nodes based on the various target operating systems. Accordingly, many researches for efficient development of USN application software are being performed. In this paper, the attributes design technique to support attribute-based development of USN node software for multi-platform is proposed. In the proposed technique, the method to design attributes for modeling Platform Independent Model and Platform Specific Model is presented. When using the proposed technique, productivity of software development will be increased because node software design for multi-platform is easily performed by selecting values of attributes. Also, maintainability of software will be increased because node software is easily regenerated by changing attributes according to the changes of operating systems.

Attributes of the metaverse and consumers' perceived values of fashion brands in virtual spaces (패션 브랜드 가상공간에서 메타버스의 속성과 소비자의 지각된 가치)

  • Shinyoung Park;Su-yun Shin
    • The Research Journal of the Costume Culture
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    • v.32 no.3
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    • pp.321-333
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    • 2024
  • This study aims to investigate how consumers perceive the attributes (ubiquity, continuity) of metaverse fashion brands in a virtual space. It also empirically verifies the impact on consumers' perceived values (hedonic value, social value) and consumer behavioral intentions (intention to use the platform, intention to purchase virtual products). The results verified in this study are as follows: First, we confirmed that the metaverse attributes perceived by consumers in the virtual space of the fashion brand, ubiquity and daily extension, positively affect customers' perceived hedonic and social values. Second, we found that consumers' perceived hedonic and social values have a significant positive effect on their intention to use the platform. Finally, we found that consumers' intention to use the platform had a significant positive effect on their intention to purchase virtual products. The results of this study will have academic significance by expanding the scope of research related to identifying metaverse attributes and values by identifying metaverse attributes and consumer values that perceived by consumers in fashion brands' virtual spaces in the metaverse. This study suggests a direction and strategy for fashion brands to move forward in building virtual spaces on the metaverse platform. In this way, they can create perceived value for consumers that elicits positive consumer behavioral intentions.

Platform Based of The Major Attribute Research for The Service Ecosystem Construction (플랫폼 기반의 서비스 생태계 구축을 위한 주요 속성 연구)

  • Kwon, Hyeog-In;Na, Yun-Bin;Park, Jong-Suk
    • Journal of Information Technology Services
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    • v.12 no.4
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    • pp.461-472
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    • 2013
  • Today, In the Service Industry are more getting a lot of convergence of IT utilization. And global IT companies are strengthening that platform based Services Ecosystems. These business in the field, Ecosystem Competitive strategy is difficult to imitate. And this strategy is generated organic Business Model that a by Competitive-Predominance to brings. In addition, the added value of the Service Industry is taken, a new type of job creation by the ripple-effect is huge. However, existing the Ecosystem Theory of Business is a lack of research on the use. Thus, Ecosystem Construction conditions is very difficult. This study is try to successful Platform Case's Analysis such as Apple, Google, Amazon, eBay's. These Ecosystems is that want to know the Major attributes. At first, would be analyzing to previous research, the Service and Knowledge Services' major attributes and Ecosystem studies' major attributes to grasp. Then, from a Group of Experts is to assess the importance. Finally, according to each Platform, examined the Correlation of Major Attributes.

Key Quality of Service Attributes of Digital Platforms

  • Nandakishore K N;V Sridhar;T K Srikanth
    • 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 Effects of Luxury Fashion Platforms' Attributes on Consumer eWOM (럭셔리 패션 플랫폼 속성이 온라인 구전의도에 미치는 영향)

  • Kim, Suzy;Hur, Hee Jin;Choo, Ho Jung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.45 no.4
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    • pp.685-702
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    • 2021
  • This study aims to discover how the perceived attributes of luxury fashion platforms affect consumer trust and satisfaction as well as online word-of-mouth intention. Based on a literature review, this study derived four dimensions of perceived attributes: brand assortment size, exclusivity, convenience, and personalization. The paper presents findings from an online survey targeting 359 consumers in their 20s to 30s who had recent experience with luxury fashion platforms. Based on the collected data, a structural model equation analysis was performed using AMOS 22.0 and SPSS 26.0. The findings illustrated that brand assortment size, exclusivity, and personalization had positive effects on consumers' platform trust. In addition, brand assortment size and convenience had a positive impact on satisfaction. Overall, the findings of the study illustrate that perceived attributes of luxury fashion platforms have a significant impact on consumers' platform trust and satisfaction and online word-of-mouth intentions. This study reveals that consumers' trend orientation moderates the effects of consumer attitude and behavioral intention. The academic practice of this study has laid the foundation for understanding mechanisms of marketing strategies by providing the characteristics of platforms in the luxury fashion industry.

Willingness to Pay for the Integrated News Platform of Korean Newspapers in the N-screen environment (N-스크린 환경 하에서 신문사의 통합형 플랫폼에 대한 사용자 지불의사 연구)

  • Kim, Daewon;Kim, Min Sung;Yang, Seungho;Kim, Seongcheol
    • Korean Management Science Review
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    • v.31 no.4
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    • pp.93-106
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    • 2014
  • This paper investigated customers' willingness to pay (WTP) for the integrated news platform, which is a paid digital news service provided by Korean newspapers. The integrated news platform has been widely employed and regarded as an alternative to recover dramatically decreasing sales of newspapers since N-Screen era began. This study employed a conjoint analysis to examine WTP for the integrated news platform and its attributes. According to the results, WPT for the integrated news platform was estimated as 4543.6 won, which is only 30.3% of the real price. Digitalized newspaper and premium news were found to be significant attributes explaining customers' WTP. The results of this paper implies that present marketing strategies for the integrated news platform of Korean newspapers should be reconsidered and revised.

Analysis of Changes in Restaurant Attributes According to the Spread of Infectious Diseases: Application of Text Mining Techniques (감염병 확산에 따른 레스토랑 선택속성 변화 분석: 텍스트마이닝 기법 적용)

  • Joonil Yoo;Eunji Lee;Chulmo Koo
    • Information Systems Review
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    • v.25 no.4
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    • pp.89-112
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    • 2023
  • In March 2020, as it was declared a COVID-19 pandemic, various quarantine measures were taken. Accordingly, many changes have occurred in the tourism and hospitality industries. In particular, quarantine guidelines, such as the introduction of non-face-to-face services and social distancing, were implemented in the restaurant industry. For decades, research on restaurant attributes has emphasized the importance of three attributes: atmosphere, service quality, and food quality. Nevertheless, to the best of our knowledge, research on restaurant attributes considering the COVID-19 situation is insufficient. To respond to this call, this study attempted an exploratory approach to classify new restaurant attributes based on understanding environmental changes. This study considered 31,115 online reviews registered in Naverplace as an analysis unit, with 475 general restaurants located in Euljiro, Seoul. Further, we attempted to classify restaurant attributes by clustering words within online reviews through TF-IDF and LDA topic modeling techniques. As a result of the analysis, the factors of "prevention of infectious diseases" were derived as new attributes of restaurants in the context of COVID-19 situations, along with the atmosphere, service quality, and food quality. This study is of academic significance by expanding the literature of existing restaurant attributes in that it categorized the three attributes presented by existing restaurant attributes and further presented new attributes. Moreover, the analysis results have led to the formulation of practical recommendations, considering both the operational aspects of restaurants and policy implications.

The Effects of the Attributes of Second-Hand Luxury Goods Trading Platforms on Perceived Usefulness, Perceived Enjoyment, and Continuance Intention to Use (중고 명품 거래 플랫폼의 속성이 지각된 유용성, 유희성 및 지속사용의도에 미치는 영향)

  • Chen Xi Jiang;Mi Sook Kim
    • Fashion & Textile Research Journal
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    • v.24 no.6
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    • pp.731-743
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    • 2022
  • This study examined the effects of platforms' attributes(economy, convenience, ease of use, and security) on perceived usefulness, perceived enjoyment, trust, and the continuance intention to use. Data were collected through a survey conducted with 327 users of second-hand luxury goods trading platforms in their twenties and thirties; 300 were used for statistical analysis using SPSS26.0 for exploratory factor analysis and correlation analysis, and AMOS 26.0 for confirmatory factor analysis and structural equation modeling. For the attributes of second-hand luxury goods trading platforms, four factors were extracted: economy, convenience, ease of use and security. The results showed that only the security of second-hand luxury goods platforms had a positive effect on the perceived usefulness of the platform, but other attributes did not influence perceived usefulness. In contrast, all attributes of the platform showed positive effects on perceived enjoyment. Perceived enjoyment had a strong effect on trust; however, perceived usefulness did not affect trust. The continuance intention to use the platforms was most influenced by perceived usefulness, trust, and perceived enjoyment, in that order. The current findings can help marketers of second-hand luxury goods platforms optimize the platforms' attributes based on the marketing objectives and develop strategies to build perceived usefulness and enjoyment first, and in turn, trust and intention to use.

Design of Smart Platform based on Image Recognition for Lifelog (라이프로그용 영상인식 기반의 스마트 플랫폼 설계)

  • Choi, Youngho
    • Journal of Internet Computing and Services
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    • v.18 no.1
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    • pp.51-55
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    • 2017
  • In this paper, we designed a LBS-based smart platform for Lifelog service that can utilize the other's lifelog information. The conventional Lifelog service means that the system records the daily activities of the smart device user so the user can retrieve the early-recorded information later. The proposed Lifelog service platform uses the GPS/UFID location information and the various information extracted from the image as the lifelog data. Further, the proposed Lifelog platform using DB can provide the user with the Lifelog data recorded by the other service user. The system usually provide the other's Lifelog data within the 500m distance from the user and the range of distance can be adjustable. The proposed smart platform based on image recognition for Lifelog can acquire the image from the smart device directly and perform the various image recognition processing to produce the useful image attributes. And it can store the location information, image data, image attributes and the relevant web informations on the database that can be retrieved by the other use's request. The attributes stored and managed in the image information database consist of the followings: Object ID, the image type, the capture time and the image GPS coordinates. The image type attribute has the following values: the mountain, the sea, the street, the front of building, the inside of building and the portrait. The captured image can be classified into the above image type by the pattern matching image processing techniques and the user's direct selection as well. In case of the portrait-attribute, we can choose the multiple sub-attribute values from the shirt, pant, dress and accessory sub-attributes. Managing the Lifelog data in the database, the system can provide the user with the useful additional services like a path finding to the location of the other service user's Lifelog data and information.