• Title/Summary/Keyword: mobile market

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Analysis of Success Factors for Mobile Commerce using Text Mining and PLS Regression

  • Kim, Yong-Hwan;Kim, Ja-Hee;Park, Ji hoon;Lee, Seung-Jun
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.11
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    • pp.127-134
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    • 2016
  • In this paper, we propose factors that influence on the mobile commerce satisfaction conducted by data mining and a PLS regression analysis. We extracted the most frequent words from mobile application reviews in which there are a large number of user's requests. We employed the content analysis to condense the large number of texts. We took a survey with the categories by which data are condensed and specified as factors that influence on the mobile commerce satisfaction. To avoid multicollinearity, we employed a PLS regression analysis instead of using a multiple regression analysis. Discovered factors that are potential consequences of customer satisfaction from direct requests by customers, the result may be an appropriate indicator for the mobile commerce market to improve its services.

A Personalized Recommender System for Mobile Commerce Applications (모바일 전자상거래 환경에 적합한 개인화된 추천시스템)

  • Kim, Jae-Kyeong;Cho, Yoon-Ho;Kim, Seung-Tae;Kim, Hye-Kyeong
    • Asia pacific journal of information systems
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    • v.15 no.3
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    • pp.223-241
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    • 2005
  • In spite of the rapid growth of mobile multimedia contents market, most of the customers experience inconvenience, lengthy search processes and frustration in searching for the specific multimedia contents they want. These difficulties are attributable to the current mobile Internet service method based on inefficient sequential search. To overcome these difficulties, this paper proposes a MOBIIe COntents Recommender System for Movie(MOBICORS-Movie), which is designed to reduce customers' search efforts in finding desired movies on the mobile Internet. MOBICORS-Movie consists of three agents: CF(Collaborative Filtering), CBIR(Content-Based Information Retrieval) and RF(Relevance Feedback). These agents collaborate each other to support a customer in finding a desired movie by generating personalized recommendations of movies. To verify the performance of MOBICORS-Movie, the simulation-based experiments were conducted. The results from this experiments show that MOBICORS-Movie significantly reduces the customer's search effort and can be a realistic solution for movie recommendation in the mobile Internet environment.

Small Cell Communication Analysis based on Machine Learning in 5G Mobile Communication

  • Kim, Yoon-Hwan
    • Journal of Integrative Natural Science
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    • v.14 no.2
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    • pp.50-56
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    • 2021
  • Due to the recent increase in the mobile streaming market, mobile traffic is increasing exponentially. IMT-2020, named as the next generation mobile communication standard by ITU, is called the 5th generation mobile communication (5G), and is a technology that satisfies the data traffic capacity, low latency, high energy efficiency, and economic efficiency compared to the existing LTE (Long Term Evolution) system. 5G implements this technology by utilizing a high frequency band, but there is a problem of path loss due to the use of a high frequency band, which is greatly affected by system performance. In this paper, small cell technology was presented as a solution to the high frequency utilization of 5G mobile communication system, and furthermore, the system performance was improved by applying machine learning technology to macro communication and small cell communication method decision. It was found that the system performance was improved due to the technical application and the application of machine learning techniques.

Mobile health service user characteristics analysis and churn prediction model development (모바일 헬스 서비스 사용자 특성 분석 및 이탈 예측 모델 개발)

  • Han, Jeong Hyeon;Lee, Joo Yeoun
    • Journal of the Korean Society of Systems Engineering
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    • v.17 no.2
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    • pp.98-105
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    • 2021
  • As the average life expectancy is rising, the population is aging and the number of chronic diseases is increasing. This has increased the importance of healthy life and health management, and interest in mobile health services is on the rise thanks to the development of ICT(Information and communication technologies) and the smartphone use expansion. In order to meet these interests, many mobile services related to daily health are being launched in the market. Therefore, in this study, the characteristics of users who actually use mobile health services were analyzed and a predictive model applied with machine learning modeling was developed. As a result of the study, we developed a prediction model to which the decision tree and ensemble methods were applied. And it was found that the mobile health service users' continued use can be induced by providing features that require frequent visit, suggesting achievable activity missions, and guiding the sensor connection for user's activity measurement.

Removable 3D Object For Mobile Phone Based on J2ME

  • Lee, Song-Won;Hong, Sung-Soo;Kim, Seok-Dong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.04a
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    • pp.706-709
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    • 2009
  • The informatization of Korea is accompanied by the great growth of new strategic export industry, as of mobile phone or semiconductor LCD. Speaking to the situation of mobile phone, Motorola swept over the American domestic market in the beginning of 1990s, digital mobile communication as CDMA developed swiftly in Korea. In 1996, the first year's CDMA users of Samsung were merely one million, nevertheless, the world's sales in the first half of this year is up to 92 million. In this p aper I design 3D application based on J2ME and implement a freely removable 3D object which happened in a 3D scen e by receiving the keyboard response of mobile device with WTK (Wireless ToolKit) simulator. It contains benefits of improvement of relative speed and high-level functionality such as scene graph, keyframe animation, etc.

Factors Influencing the Knowledge Adoption of Mobile Game Developers in Online Communities: Focusing on the HSM and Data Quality Framework

  • Jong-Won Park;Changsok Yoo;Sung-Byung Yang
    • Asia pacific journal of information systems
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    • v.30 no.2
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    • pp.420-438
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    • 2020
  • Recently, with the advance of the wireless Internet access via mobile devices, a myriad of game development companies have forayed into the mobile game market, leading to intense competition. To survive in this fierce competition, mobile game developers often try to get a grasp of the rapidly changing needs of their customers by operating their own official communities where game users freely leave their requests, suggestions, and ideas relevant to focal games. Based on the heuristic-systematic model (HSM) and the data quality (DQ) framework, this study derives key content, non-content, and hybrid cues that can be utilized when game developers accept suggested postings in these online communities. The results of hierarchical multiple regression analysis show that relevancy, timeliness, amount of writing, and the number of comments are positively associated with mobile game developers' knowledge adoption. In addition, title attractiveness mitigates the relationship between amount of writing/the number of comments and knowledge adoption.

Current status of E-commerce market in China and implication (중국 전자상거래 시장의 최근동향 및 시사점)

  • Baek, Young-Mi
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.111-124
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    • 2015
  • The economic growth in China takes the step of the Internet/Mobile revolution together. The high internet penetration provided the opportunity to increase the e-commerce market with fast speed. However, due to imbalance of the growth speed and preparation, the problems on various infrastructures and regulations were generated. Therefore, this study investigateed the current status of e-commerce market and sub-categories. This study also discussed about the problem of e-commerce logistics system, consumer protection, R&D investment, and human resources and provided the considerations for the future improvement. Finally, this study diagnosed the mobile payment and internet finance market and new e-commerce tax regulation, and then suggested institutional implications for the international standardization. This study is meaningful to provide the first implication to the Korean exporters after Chinese government had announced market open strategy for the 5 year e-commerce development plan.

A Market-Based Replacement Cost Approach to Technology Valuation (기술가치평가를 위한 시장대체원가 접근법)

  • Kang, Pilsung;Geum, Youngjung;Park, Hyun-Woo;Kim, Sang-Gook;Sung, Tae-Eung;Lee, Hakyeon
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.2
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    • pp.150-161
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    • 2015
  • This paper proposes a new approach to technology valuation, the market-replacement cost approach which integrates the cost-based approach and market-based approach. The proposed approach estimates the market-replacement cost of a target technology using R&D costs of similar R&D projects previously conducted. Similar R&D projects are extracted from project database based on document similarity between project proposals and technology description of the target technology. R&D costs of similar R&D projects are adjusted by mirroring the rate of technological obsolescence and inflation. Market-replacement cost of the technology is then derived by calculating the weighted average of adjusted costs and similarity values of similar R&D projects. A case of "Prevention method and system for the diffusion of mobile malicious code" is presented to illustrate the proposed approach.

Factors Influencing the Customer Satisfaction and Re-Purchasing Intention of Mobile Shopping Mall (모바일 쇼핑에서 고객만족과 재구매 의도에 미치는 영향 연구)

  • Lee, Hyunsoo;Chae, Young-Il
    • Journal of Information Technology Services
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    • v.12 no.2
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    • pp.215-229
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    • 2013
  • The purpose of this research is to identify what factors influence a customer satisfaction and re-purchasing intention and to identify if customer's Intentions are different between a mobile shopping mall and Internet Shopping mall. To perform empirical analysis for the mobile shopping mall, this research reapplied the factors of Parasuraman et al.[77] in a Internet shopping mall, including reliability, reactivity, tangibility, and this research also applied the factors of a mobile properties, including ubiquity, localization, instant connectivity. The empirical results of this research indicate that all hypotheses in our model are significant; However, the factors of a mobile properties negatively. The results of a analysis indicate that the mobile properties in a mobile shopping mall are not significant yet. and customer's recognition in both mobile shopping mall and Internet shopping mall are the similarity. In Conclusion, with the rapid growth of the Mobile Shopping mall market, many mobile shopping mall researches based on customer's Intentions must be published. Therefore, this research will be the foundation of these researches.

Factors Influencing the Use Diffusion of Cosmetic Medical Information Mobile Platform: Based on Technology Acceptance Model (미용성형의료정보 모바일 플랫폼의 사용확산에 영향을 미치는 요인: 기술수용모델을 기반으로)

  • Youyoung Park;Jeman Boo
    • Korea Trade Review
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    • v.45 no.1
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    • pp.279-300
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    • 2020
  • The cosmetic medical information mobile platform is evolving into a new channel for searching and obtaining relevant information before using cosmetic medical service. In addition, the medical institutions can facilitate the medical contracts, and take advantage of systemic customer management through the cosmetic medical information mobile platform. Therefore, the paradigm of the cosmetic medical mobile service industry is facing a flow of change through the use diffusion of cosmetic medical information mobile platform. In this study, in order to explore the factors affecting the use diffusion of the cosmetic medical information mobile platform, this study used the research model of the influence of the characteristics of the cosmetic medical information mobile platform on perceived convenience and usefulness, and use diffusion by applying TAM(Technology Acceptance Model). As a result, immediateness, interactivity, and customization in the characteristics of cosmetic medical information mobile platform had positive effects on the perceived convenience. Also, interactivity, customization, and economics had positive impacts on perceived usefulness. In addition, perceived convenience and usefulness had positive effects on the use diffusion. Through this study, the factors influencing the use diffusion of cosmetic medical information mobile platform were actually explored, and the service value of the cosmetic medical information mobile platform were categorized. Future research is expected to contribute to the continuous improvement of quality and expansion of the cosmetic medical service market based on various research.