• Title/Summary/Keyword: Web business model

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How to Forecast Behavioral Effects on Mobile Advertising in the Smart Environment using the Technology Acceptance Model and Web Advertising Effect Model

  • Kim, Yong Beom;Joo, Hyung Chul;Lee, Bong Gyou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.10
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    • pp.4997-5013
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    • 2016
  • This paper proposes and then verifies a model that can be used to forecast the effects of behavior on mobile advertising based on the Technology Acceptance Model (TAM) and Web Advertising Effect. The objective of this research is to probe the relationship between the cause and effect of the entertainment, informativeness, usefulness, capacity to accommodate smart-environment technologies, Hedonic Adaptation Model (HAM), etc. that mobile advertisements provide, as well as the attitudes toward advertisements in general. In order to accomplish this goal, the research was verified using Structural Equation Modeling (SEM), and the results are as follows. First, the informativeness of mobile advertising has a positive effect on the recognized ease of use. Second, the entertainment and informativeness of mobile advertising has positive effects on the recognized usefulness. Third, the recognized ease of use has a positive effect on the recognized usefulness. Fourth, the informativeness of mobile advertising causes a positive effect on smart-environment technologies. Fifth, the entertainment and informativeness of mobile advertising cause positive effects on the HAM. Sixth, smart-environment technologies cause positive effects on the HAM. Seventh, the recognized usefulness causes a positive effect on the value of mobile advertising and the intention of use. Eighth, the HAM has a positive effect on the value of mobile advertising and the general attitudes toward it. Ninth, the value of mobile advertising has a positive effect on the attitudes toward advertising. Tenth, the attitudes toward mobile advertising have a positive effect on the intention of use.

A Study on the Effect of Internal and External Pressures on ESG Activities and Business Performance (내외부 압력이 ESG 활동과 경영성과에 미치는 영향에 관한 연구)

  • TaeYang Park;Jong Dae Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.1
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    • pp.1-14
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    • 2023
  • This study is a leading case of empirical analysis of whether, when corporate stakeholders (government, investors, customers, managers, employees) put pressure on companies for ESG management, it affects the introduction and implementation of ESG activities (environmental, social, governance) and affects business performance. As for the research method, a sustainability report was published, and a web survey of Korea Research Inc. was conducted from May 10 to May 20, 2022 targeting ESG management managers of 192 companies, and analyzed through the PLS structural equation model. As a result of the study, it was found that the introduction and execution of ESG is closely influenced by the pressure from the government, investors, managers, and employees, and in particular, the internal pressure of current managers and executives and employees has a great impact on the introduction and implementation of environmental, social, and governance activities. In particular, although external pressure also has some influence, it is practical to suggest that strong internal pressure is necessary for continuous activities and performance. And, methodologically, the main activity indicators of the GRI Reporting Guidelines, which are the most representative ESG management indicators, were developed as a questionnaire, and reliability, validity, and model fit were secured through comparison with indicators of multiple systems and expert reviews. The limitations of this study are that more in-depth analysis by industry or size is possible when ESG management is mature and sufficient samples are secured, and complex ESG pressure factor modeling is possible when more diverse stakeholders are added.

Empirical Research on Search model of Web Service Repository (웹서비스 저장소의 검색기법에 관한 실증적 연구)

  • Hwang, You-Sub
    • Journal of Intelligence and Information Systems
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    • v.16 no.4
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    • pp.173-193
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    • 2010
  • The World Wide Web is transitioning from being a mere collection of documents that contain useful information toward providing a collection of services that perform useful tasks. The emerging Web service technology has been envisioned as the next technological wave and is expected to play an important role in this recent transformation of the Web. By providing interoperable interface standards for application-to-application communication, Web services can be combined with component-based software development to promote application interaction and integration within and across enterprises. To make Web services for service-oriented computing operational, it is important that Web services repositories not only be well-structured but also provide efficient tools for an environment supporting reusable software components for both service providers and consumers. As the potential of Web services for service-oriented computing is becoming widely recognized, the demand for an integrated framework that facilitates service discovery and publishing is concomitantly growing. In our research, we propose a framework that facilitates Web service discovery and publishing by combining clustering techniques and leveraging the semantics of the XML-based service specification in WSDL files. We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the Web service domain. We have developed a Web service discovery tool based on the proposed approach using an unsupervised artificial neural network and empirically evaluated the proposed approach and tool using real Web service descriptions drawn from operational Web services repositories. We believe that both service providers and consumers in a service-oriented computing environment can benefit from our Web service discovery approach.

Wearable Device Users' Behavior Change: Does Persuasive Design Matter?

  • Wan, Lili;Zhang, Chao
    • International Journal of Advanced Culture Technology
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    • v.8 no.1
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    • pp.218-225
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    • 2020
  • Purpose Wearable devices are widely used in our daily life. The purpose of this study is to investigate the relationship between persuasive designs of fitness trackers and users' physical activity behavior. Methods To test the research model, data was collected from a web-based survey in China, resulting in an effective sample of 166 usable questionnaires. The survey was restricted only to respondents who wear a fitness tracker. Results The sample surveyed in this study indicated that half of the respondents had been wearing a smart fitness tracker shorter than one year, and only 27% were long-time users (longer than two years). Dialogue support and social support strategies were both proved to be effective in increasing users' workout behavior intention. Social support strategies had a greater effect on behavior change than dialogue support strategies. Conclusion The findings from this study make several contributions to the practice. Wearable devices developers can employ the result from this study to help them design devices, which can persuade people to do more exercises and preserve a healthier life.

Carrier Tracking and Tracing System using Low Earth Orbit

  • Byeon Eui-Seok;Ahn Sung-Bum;Kang Sang-Hun
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.05a
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    • pp.704-707
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    • 2003
  • The Purpose of carrier tracking and tracing is to achieve more information over shipments via carrying in mobile business .At multimodes, especially consignor wants to be aware of the exact situation and position of goods. As an innovate business model, we present CGPS(Carrier Global Positioning System) scheme usiug LEO(Low Earth Orbital) satellite. The LEO collects the data periodically and sends to the web server, and eventually customer's PC or PDA. This provides shipping company or freight forwarder with more robust information such as door status, container inside condition, etc.

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Perceived IT Performance and Contextual Factors of Small Firms in Korea: An Explorative Study (국내 소기업의 환경요인과 IT성과 인식: 탐색적 연구)

  • Kim, Jin-Han;Lee, Yoon-Seok;Kim, Seong-Hong
    • Asia pacific journal of information systems
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    • v.14 no.1
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    • pp.23-41
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    • 2004
  • This paper proposes an empirical evidence about contextual factors which determine perceived business performances of small firms resulted from IT investment. In this paper, small firms are defined as firms of which total employees are below fifty. These small firms account for 95% of total number of private companies in Korea. We used a perceived IT performance model based on Balanced Scorecard framework to evaluate IT performance of small firms. And data were collected by Web and e-mail survey method with multiple screening. Statistical results show that business performance of small firms are differentiated in terms of firm size, location, longevity, age of owner, education level of owner, while industry sector, profitability, sex of owner don't make significant differences.

A Brief Analysis on the Correlations between Website Accessibility and Quality Evaluation Results and Efficiency of Main Seaports in Korea, China, and Japan (한·중·일 주요항만의 웹 사이트 접근성 및 품질평가결과와 효율성과의 상관관계분석 소고)

  • Park, Ro-Kyung
    • Journal of Korea Port Economic Association
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    • v.31 no.4
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    • pp.39-52
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    • 2015
  • The purpose of this paper is to empirically examine whether there are significant relations among rankings of cross-efficiency, web accessibility, and website evaluation. For this purpose, the study uses the KWAH-4 method developed by the Web Accessibility Laboratory in Korea, website evaluation method developed by the Business Development Bank of Canada (BDC), and the cross-efficiency model for 13 Asian container seaports including Korean, Chinese, and Japanese main ports in 3 years (2009, 2010, and 2013) using data for two cases: three inputs (depth, total area, and number of crane) and one output (TEU) in the first case and three inputs and two outputs (TEU and BDC overall score) in the second case. The main empirical results are as follows. First, the ranking orders of cross-efficiency, web accessibility, and website evaluation overall scores are not significantly correlated with each other. Second, if the BDC overall score is included in the output element, the correlation results are improved. However, the correlation coefficient is still low. The container port policy planners should introduce and consider the web accessibility and website evaluation scores when evaluating an efficiency-increasing plan for Korea's main container ports.

The Study of Influence Factors on External Information Search Effort in Online Shopping Malls (온라인 쇼핑몰에서의 외부정보탐색노력에 대한 영향요인에 관한 연구)

  • Choi, Nak-Hwan;Lee, Chang-Won;Hwang, Yun-Yong
    • Journal of Global Scholars of Marketing Science
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    • v.15 no.3
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    • pp.93-116
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    • 2005
  • This study explored factors affecting consumer's external information search effort on online shopping malls through three approaches(cost-benefit approach, psychological motivation approach, and web-site theory approach) respectively, and designed the integrative model through searching the relationships among them. In this study search motivation are designed to be explained by search benefit and search cost that are explained by factors related to the web site and search efforts are designed to be explained by search benefit, search cost and search motivation. The results from our empirical research showed that search motivation, search benefits and prior knowledge on online shopping malls have a direct effect on consumer external information search effort. On the other hand, it was verified that the search motivation was affected by search benefits and purchase involvement, and the search benefits are directly influenced by purchase involvement, constructive simplicity, search convenience and trust. In addition, purchase involvement, time press, constructive simplicity and search convenience had direct effects on the search cost.

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Active Documents: Programs by Form Designers (능동문서: 서식설계자의 프로그램)

  • Nam, Chul-Ki;Bae, Jae-Hak;Yoo, Hae-Young
    • The KIPS Transactions:PartB
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    • v.10B no.6
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    • pp.599-610
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    • 2003
  • The Web plays an important role as information source and most Web applications are document-centric. A document implies an intention of its own designer, which can be utilized actively in automation of business processes. Through an understanding of an intrinsic nature of a document function, we can see a document as an executable computer program in a special case. For this approach, we propose an active document model that is composed of form, knowledge base, rules, and queries. For reusability and interoperability of a document, each component of the proposed model is uniformly represented in XML. The proposed active document not only plays a passive role in providing user interfaces, but also is a document that a machine can infer and process with reading a procedure of document processing and business rules intended by document designers. Through this approach, document can interact with machines and can cooperate with other applications. For applicability of our active document, we show a case study for the processing of purchase orders in a B2B e-Commerce system. This paper is expected to provide the framework of accelerating the development of intelligent applications through our approach regards form document as a computer program. In short, the proposed active document contains knowledge representation and processing method, consequently our document will play an important role in providing a concept of document of pursuing in Semantic Web.

A New Latent Class Model for Analysis of Purchasing and Browsing Histories on EC Sites

  • Goto, Masayuki;Mikawa, Kenta;Hirasawa, Shigeichi;Kobayashi, Manabu;Suko, Tota;Horii, Shunsuke
    • Industrial Engineering and Management Systems
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    • v.14 no.4
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    • pp.335-346
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    • 2015
  • The electronic commerce site (EC site) has become an important marketing channel where consumers can purchase many kinds of products; their access logs, including purchase records and browsing histories, are saved in the EC sites' databases. These log data can be utilized for the purpose of web marketing. The customers who purchase many product items are good customers, whereas the other customers, who do not purchase many items, must not be good customers even if they browse many items. If the attributes of good customers and those of other customers are clarified, such information is valuable as input for making a new marketing strategy. Regarding the product items, the characteristics of good items that are bought by many users are valuable information. It is necessary to construct a method to efficiently analyze such characteristics. This paper proposes a new latent class model to analyze both purchasing and browsing histories to make latent item and user clusters. By applying the proposal, an example of data analysis on an EC site is demonstrated. Through the clusters obtained by the proposed latent class model and the classification rule by the decision tree model, new findings are extracted from the data of purchasing and browsing histories.