• Asia pacific journal of information systems
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• 제30권1호
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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.

• 한국정보시스템학회지:정보시스템연구
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• 제31권1호
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• pp.59-90
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• 2022

Purpose This paper presents a new method of classifying online platforms. It also explains how to apply the framework using case studies and generate new insight about platform strategies and policy development. Design/methodology/approach This paper focuses on the relationship between platforms, especially the hierarchy and power relations, and broadly classifies platforms as follows: content/services, meta information, app stores, operating systems, and cloud. Both the content/service platform and the meta information platform have matching as their main function. However, most content/services tend to collect and access information through meta-information platforms, so meta-information platforms are closer to infrastructure than content/service platforms. App store, operating system, and cloud can be said to be platforms of platforms. A small number of companies in the US and China dominate platforms of platforms, and become the recent development and regulatory targets of their respective governments. Findings We should be wary of the attempts to regulate domestic platforms by importing foreign regulations that ignore the hierarchical structure that our framework highlights. We believe that Korea's strategy to become a true platform powerhouse is clear. As one of the few countries with significant companies in the area of meta information platforms, it will be necessary to fully utilize the position and advance into the strategically important area of platforms of platforms. Furthermore, it is necessary to encourage world-class companies to appear in Korea in the app store, operating system, and cloud. To do so, the government needs to introduce promotion policies to strategically nurture such platforms rather than to regulate them.

• 중소기업연구
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• 제43권2호
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• pp.59-86
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• 2021

플랫폼(platform) 개념은 제품 플랫폼, 거래 플랫폼에서 산업 플랫폼에 이르기까지 다양한 형태로 기업의 경영활동에 활용되어 왔다. 모든 플랫폼은 공통적으로 자주 재사용 되는 핵심과 재사용이 적고 자주 변경되는 주변부로 구성된다. 기업은 플랫폼을 사용하여 제품군, 거래, 그리고 혁신을 보다 효율적으로 개발 및 창출할 수 있다. 이러한 플랫폼은 제품을 중심으로 한 전통적 산업구조에 변화를 가져옴으로써 많은 중소기업에게 새로운 기회를 제공한다. 한국의 서비스용 로봇 산업은 협소한 시장 규모로 인해 주로 기술 중심의 중소기업으로 구성되어 있다. 이들 중소기업들은 기술개발에 성공하더라도 제품을 판매하기 위해 시장을 창출하고 확장하는데 어려움을 겪는다. 따라서 본 연구는 한국 서비스용 로봇 산업의 특성 및 문제점을 조명하고 중소기업인 로보프린트가 어떻게 서비스용 로봇 시장을 확장하고 지속적으로 성장하였는지를 플랫폼 이론을 적용하여 분석하였다. 분석결과, 로보프린트는 제품과 거래 플랫폼 개념을 적용한 것으로 나타났다. 첫째, 로보프린트는 초기에 개발한 아트봇의 핵심 기술을 기반으로 페인팅 로봇, 건물 외벽 청소 로봇 및 맞춤형 로봇을 개발하였다. 또한, 직접 로봇을 이용한 아파트 벽화 서비스를 제공하고 이를 방음벽, 지하통로, 옹벽 등 다양한 지역으로 확장하였다. 뿐만 아니라 가상현실 기술을 개발하는 등 새로운 서비스를 지속적으로 추가했다. 둘째, 로보프린트는 벽화 서비스 구매자와 벽화 디자이너를 매개하였다. 이는 벽화 서비스를 의뢰하는 구매자들이 디자이너를 탐색해야 하는 번거로움을 줄여주었고, 벽화 디자이너들에게는 벽화사업의 참여 기회를 열어주었다. 마지막으로 로보프린트는 플랫폼의 범위를 지속적으로 넓히고자 노력하였다. 내부에서만 재사용되던 로보프린트의 기술을 외부 기업과 공유하기 위해 대구광역시 '신기술 플랫폼 서비스'에 참여하였다. 뿐만 아니라 로봇을 외부 기업에 임대하여 서비스 플랫폼을 공유하고자 노력하고 있다. 본 연구는 중소기업이 다양한 플랫폼을 이용하여 시장을 창출하고 지속적으로 확장할 수 있음을 보여주어 기존 플랫폼 이론에 기여하며 실무자들에게도 유용한 시사점을 준다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 추계학술발표대회
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• pp.473-474
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• 2019

Recently, data security and convenience are critical requirements to the interaction and collaboration of tourism service systems for the tourism industry. However, there are still many challenges for current tourism service systems to fulfill these requirements since they have inconsistent structures with different access control models and security policies. Blockchain has the potential to evolve the conventional tourism industry benefiting by its unique features such as data privacy and transparency. This paper mainly aims the interworking mechanism of heterogenous blockchain platforms for secure tourism service. We propose interworking scheme to connect multi-blockchain platforms for enhancing data integrity in the tourism industry. A proof of concept design and implement based on Hyperledger Fabric and Winding Tree.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.370-372
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• 2022

수요자의 필요에 즉각 대응하여 제품 및 서비스를 제공하는 온디맨드 경제(On-Demand Economy)에서는 수요자가 가격 결정에 상당한 영향력을 가진다. 여행 관련 분야에서도, 서비스 제공자가 수요자의 요구를 반영하고, 더 나은 서비스를 제공하기 위해 많은 노력을 하고 있다. 본 논문에서는, 판매자가 일방적으로 가격을 결정하는 다수의 여행 관련 서비스 플랫폼과는 달리, 수요자가 여행 관련 서비스 및 가격을 제안하는 역경매 기반의 서비스 플랫폼 방식을 제안하였다. 제안된 매칭 서비스 플랫폼은 다양한 수요자의 요구를 분석하고, 수집된 경험 데이터를 반영하여, 기존의 정형화된 여행 관련 서비스와 차별화된 양방향 서비스 창출이 가능할 것으로 기대된다.

• 한국컴퓨터정보학회논문지
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• 제27권11호
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• pp.287-294
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• 2022

이 연구의 목적은 온라인 음악 플랫폼에서 부가가치서비스의 개념을 정의하고 온라인 음악 플랫폼에서 부가가치서비스를 사용하려는 사용자의 의향 모델을 제시하고 영향요인이 사용자의 의지에 미치는 영향을 탐색하는 것이다. 본 연구는 정보가치, 사회적 가치, 오락가치를 독립변수로, 플로우경험을 매개변수로, 자기인식을 매개변수로 하여 온라인 음악 서비스 플랫폼의 특성과 결합된 자극-반응 모델을 기반으로 하였다. 종속변수는 소비자의 사용의향으로 사용하였다. 본 연구에서는 SPSS와 AMOS 통계분석 도구를 이용하여 실증분석을 수행하였다. 결과는 온라인 음악 플랫폼의 부가가치서비스가 소비자의 플로우경험과 소비자의 사용의향에 긍정적인 영향을 미친다는 것을 보였다. 본 연구는 온라인 음악 플랫폼 서비스의 이론적 결함을 채울 수 있으며, 이는 음악 플랫폼 사업자의 서비스 역량 향상 및 소득 향상에 긍정적이고 중요한 의미를 갖는다.

• 제어로봇시스템학회논문지
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• 제22권2호
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• pp.153-161
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• 2016

This paper proposes a bridge model for data exchange and service invocation between OPRoS and ROS platforms, shows the validity of the proposed model via applications, and compares the proposed model with the OPRoS platform and the ROS platform using performance measures such as data exchange time and service response time. The proposed model operates independently of OPRoS and ROS Platforms using its configuration file with mapping information among the OPRoS data/service port and the ROS topic/service. The configuration file makes easy connections between OPRoS data/service and ROS topic/service without changing the source code of the platform and components.

• 산업경영시스템학회지
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• 제40권2호
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• pp.68-77
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• 2017

In order to implement the smart home environment, we need an intelligence service platform that learns the user's life style and behavioral patterns, and recommends appropriate services to the user. The intelligence service platform should embed a couple of effective and efficient data mining algorithms for learning from the data that is gathered from the smart home environment. In this study, we evaluate the suitability of data mining algorithms for smart home intelligent service platforms. In order to do this, we first develop an intelligent service scenario for smart home environment, which is utilized to derive functional and technical requirements for data mining algorithms that is equipped in the smart home intelligent service platform. We then evaluate the suitability of several data mining algorithms by employing the analytic hierarchy process technique. Applying the analytical hierarchy process technique, we first score the importance of functional and technical requirements through a hierarchical structure of pairwise comparisons made by experts, and then assess the suitability of data mining algorithms for each functional and technical requirements. There are several studies for smart home service and platforms, but most of the study have focused on a certain smart home service or a certain service platform implementation. In this study, we focus on the general requirements and suitability of data mining algorithms themselves that are equipped in smart home intelligent service platform. As a result, we provide a general guideline to choose appropriate data mining techniques when building a smart home intelligent service platform.

• Journal of Information Technology Applications and Management
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• 제31권1호
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• pp.163-175
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• 2024

This study conducts topic modeling analysis on four electric scooter sharing platforms: Alpaca, SingSing, Kickgoing, and Beam. Using user review data, the study aims to identify key topics and issues associated with each platform, as well as uncover common themes across platforms. The analysis reveals that users primarily express concerns and preferences related to application usability, service mobility, and parking/accessibility. Additionally, each platform exhibits unique characteristics and challenges. Alpaca users generally appreciate convenience and enjoyment but express concerns about safety and service areas. SingSing faces issues with application functionality, while Kickgoing users encounter connectivity problems and device usability issues. Beam receives overall positive feedback, but users express dissatisfaction with application usability and parking. Based on these findings, scooter sharing service providers should focus on enhancing application features, stability, and expanding service coverage to meet user expectations and improve customer satisfaction. Furthermore, highlighting platform-specific strengths and providing tailored services can enhance competitiveness and foster continuous service growth and development.

• Asia pacific journal of information systems
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• 제22권4호
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• pp.125-149
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• 2012

As the smart phone is propagating rapidly, the importance of mobile advertisement has also grown. One of the main characteristics of the Internet and smart phone advertising is that they can deliver personalized advertisements to each customer. The smart phone enables the identification of additional personalized information such as the customer's location and the accessibility to the site at any place any time. As the Internet platform becomes richer, firms that offer the ad services via the wired PC Internet and wireless smart phone are seeking various types of personalized ads. However, their service platform and Information and Communication Technology (ICT) platform should be suitable to the characteristics of personalized ads. This research explores various types of personalized ad methods and evaluates their adequacy encompassing four types of ad service platforms (such as search portal, news portal, e-mall servers, and SNS) and two types of ICT platforms (PC Internet and smart phone). To this end, we classified the personalized ads into seven types: three basic types and four composite types. The basic types of ad methods are identified by considering the current activity that the customer is engaged, the individual profile and log history, and the customer's current location or planning location. Four composite types of ad methods are constructed as the combination of these basic types. For those types of ad methods, we evaluate whether each ad method adequately maps with four types of ad service platforms and two types of ICT platforms. We proposed a metric of evaluation and demonstrated the concept with illustrative numbers. Specifically, we analyze and compare personalized ad methods in three ways. Firstly, the possibility of implementing a personalized ad method on the platform is analyzed to confirm the degree of suitability. Secondly, the value of personalized ad method is analyzed based on the customer accessibility. Lastly, expected effectiveness for each personalized ad method is computed by multiplying the possibility and the value. Through this kind of analysis, the ad service providers as well as advertising companies can evaluate what kinds of personalized ad methods and platforms are possible and suitable to maximize their ad effectiveness on the Internet and smart phone platforms.