• 제목/요약/키워드: Internet market

검색결과 1,614건 처리시간 0.031초

An Empirical Analysis of Smart Signage and Its Market Delimitation

  • Kim, Hang Sub;Lee, Bong Gyou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권8호
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    • pp.2910-2927
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    • 2015
  • This study demonstrates that ease of use, usefulness, and hedonic desires affect the intention to use smart signage, based on market delimitations. Smart signage is at an early phase of adoption and its market can be divided broadly into indoor and outdoor markets. In this study, an empirical study model was established in conjunction with the technology acceptance model (TAM), which was applied to the IT area of a smart signage map and to a hedonic model. Empirical results showed that the key hedonic attributes affecting the intention to use smart signage include information delivery for the indoor environment and emotional and entertainment content for the outdoor environment. In the future, specific guidelines can be presented to boost the usage of smart signage through an empirical study based on the identification of external factors that affect usage intention.

Comparing Machine Learning Classifiers for Movie WOM Opinion Mining

  • Kim, Yoosin;Kwon, Do Young;Jeong, Seung Ryul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권8호
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    • pp.3169-3181
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    • 2015
  • Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

재래시장 활성화 방안 (Crucial Scheme for Traditional Markets Revitalization)

  • 황상규;이재달
    • 한국항만경제학회:학술대회논문집
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    • 한국항만경제학회 2003년도 정기학술대회지
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    • pp.193-218
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    • 2003
  • Today, the marketplace environment is changing faster and more dramatically than ever before. With the rapid growth of Internet Shopping mall, electronic commerce transaction, we have big changes on distribution fields. At this circumstances, traditional markets cannot help suffering from serious contraction and market failure between highly advanced department store and internet based shopping mall giving lower prices and higher customer satisfaction program. In addition, traditional markets have made an critical role on our retail markets for a long time, but they confront a crucial crisis on nationwide owing to external markets circumstance change and internal factors. In this study, we made efforts to suggest rational political scheme to recover many difficulties as analyzing market factors affecting traditional market, such as, modernized management skill, specialized items, customers satisfactions program, and so forth.

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Enhancing Similar Business Group Recommendation through Derivative Criteria and Web Crawling

  • Min Jeong LEE;In Seop NA
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권10호
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    • pp.2809-2821
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    • 2023
  • Effective recommendation of similar business groups is a critical factor in obtaining market information for companies. In this study, we propose a novel method for enhancing similar business group recommendation by incorporating derivative criteria and web crawling. We use employment announcements, employment incentives, and corporate vocational training information to derive additional criteria for similar business group selection. Web crawling is employed to collect data related to the derived criteria from 'credit jobs' and 'worknet' sites. We compare the efficiency of different datasets and machine learning methods, including XGBoost, LGBM, Adaboost, Linear Regression, K-NN, and SVM. The proposed model extracts derivatives that reflect the financial and scale characteristics of the company, which are then incorporated into a new set of recommendation criteria. Similar business groups are selected using a Euclidean distance-based model. Our experimental results show that the proposed method improves the accuracy of similar business group recommendation. Overall, this study demonstrates the potential of incorporating derivative criteria and web crawling to enhance similar business group recommendation and obtain market information more efficiently.

디지털시장의 시장구조와 제품판매방식

  • 최동수
    • 기술혁신연구
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    • 제10권2호
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    • pp.107-129
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    • 2002
  • Expansion and enhancement of information and communication infrastructure can create a market closer to an ideal type for a perfect competition, utilizing a cyber space in the network (with the expanded usage of Internet and e-commerce) and it could be a market of a monopolistic form. The government can take one of the two approaches responding to this monopolization of the digital market. First, the government maintains laissez-faire policy since the monopoly cannot be maintained over a long period of time due to an increasing in the production, decrease in the price, profit resulting from this and rapid technology evolution. Second, the government can actively interrupt the monopolization of the digital market. Monopolization in a digital market can lead to a market failure. Unstable market structure and too much frequent merger and acquisition contribute to making the digital market very dynamic. Information goods exchanged in the digital market have the features of very low marginal cost required to copy the original product whereas its initial fixed cost is very high. This explains why the information products are not priced based on the existing marginal price determination principles and why companies producing them have various product sales strategies (price/product differentiation strategy, and other sales strategies).

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무선인터넷 산업의 동향 (Study on Wireless Internet Industry Trends)

  • 김강회;여운동;홍성화
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 I
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    • pp.597-600
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    • 2003
  • Wireless Internet access shows an early-stage market that is entering a period of strong and sustained growth., reaching almost $40 billion in combined related equipment services by 2008 with equipment and services of nearly equal proportion. This explosive development is possible due to the continued growth of two of the most successful markets in history, the internet and mobile telephony. The number of global wireless internet users will incense from approximately 1.9million in 2001 to 1.3billion by 2006. Technological changes are the main factor in the emergence of what is being called the fourth generation of mobile communications.

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네트워크 혼잡효과를 고려한 인터넷망간 상호정산 방안 연구 (A Study on Settlements in Internet Interconnection under Internet Congestion)

  • 정충영
    • Journal of Information Technology Applications and Management
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    • 제14권2호
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    • pp.97-115
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    • 2007
  • The present paper investigates the technological and conceptional characteristics of peering and transit in internet interconnection. Especially, the market with two ISP competing for customers is modeled and the outcome with peering is compared with transit. This paper also analyze the congestion effects on retail price and network capacity. When there is congestion effects occurring from network sharing, the retail price is increased and the fixed fee is decreased with the degree of congestion. Finally, the optimal access charge assuring the socially optimal retail price and network capacity is derived.

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초고속 인터넷 시장에서의 고객 만족과 고객 로열티간 관계 분석 (Study on the casual relationship between customer satisfaction and customer loyalty in high-speed Internet service market)

  • 김민정;김찬규;박영준
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2003년도 추계학술대회 및 정기총회
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    • pp.67-70
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    • 2003
  • This paper analyzes the causal relationship between customer satisfaction and customer loyalty in Korean High-speed Internet market, where has achieved a rapid development in these days. According to the previous literatures, profitability results from customer loyalty influenced by customer satisfaction. So, we firstly define and analyze their relationships with the survey data from 737 subscribers, by using Factor Analysis and SEM(Structural Equation Model). Secondly, we find and select major cause variables to affect customer loyalty. Finally, we suggest some useful implications to marketers on the basis of the analysis results. As a result, customer loyalty depends on the degree of customer satisfaction on network quality and service quality in high-speed Internet service. Particularly the satisfaction level on network quality affects customer loyalty relatively stronger than one on service quality. Thus it is suggested that marketers invest in improving network quality rather than service quality to enhance customer loyalty.

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인터넷전화서비스 품질결정요인에 대한 탐색적 연구 : 고객만족도, 고객충성도, 고객성과에 미치는 영향을 중심으로 (Quality Attributes of Internet Telephony Service and Their Impact on Customer Satisfaction, Customer Loyalty and Customer Performance)

  • 민재형;윤명희
    • 경영과학
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    • 제23권3호
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    • pp.133-156
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    • 2006
  • The ubiquitous technology, leading the stream of change in telecommunication market, makes VoIP a foundation technology to enter NGN era. With this trend in mind, VoIP providers try to satisfy customer needs and invest on R&D in order to survive in this emerging market. The critical issues to VoIP providers are two fold the first one is to find out the quality attributes of Internet telephony service; and the second one is to assess the impact they have on customer satisfaction, customer loyalty and customer performance. In this study, we attempt to empirically answer the above two issues employing SEM (structural equation modeling) and AHP (analytic hierarchy process), and suggest strategic guidelines for successful deployment of Internet telephony service.

Research on synchronization between smart toys and smart phones for classifying smart toys

  • Jung, Sugkyu
    • International Journal of Internet, Broadcasting and Communication
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    • 제9권4호
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    • pp.25-30
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    • 2017
  • Market of smart toys is showing rapid growth globally. Recently, new types of toys which can be synced with smart phones, so called smart toys, are being released continuously. As a result, products from RC cars with camera attached that can be driven and monitored using a connected smart phone to toys that would call kid's name once it has been entered through a mobile app. It has been confirmed that there are various way to connect those toys with mobile devices. In this paper, functions of smart toys are classified, and research on different synchronization methods of the toys sold in market as of July, 2017 are explained.