40 research outputs found

    Rule-based personalized comparison shopping including delivery cost

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    Comparison shopping allows customers to reduce time and effort when searching for product information and prices. However, traditional comparison sites mainly compare product prices without using precise information on delivery cost. To overcome this limitation, we adopted a rule-based comparison shopping framework using the eXtensible Rule Markup Language (XRML) architecture, which computes the exact personalized delivery cost at comparison sites. The prototype ConsiderD, which was developed for this purpose, computes the exact delivery costs considering the shipping rules, destination, delivery speed, and shipping rates. The XRML architecture effectively maintains the consistency of formal rules with the original Web pages. To demonstrate the performance of rule-based comparisons, we conducted an experiment on the purchase of books based on real-world data from five leading online bookstores. This experiment shows that rule-based comparison can significantly outperform data-based comparison in terms of the total cost of product and delivery. We also found that the comparison of delivery cost is very important because the variance of delivery cost can be as big as the variance of book prices itself. (C) 2011 Elsevier B. V. All rights reserved

    A Study on the Revitalization of Tourism Industry through Big Data Analysis

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    ��� ��������������� ��������������������������������� ��������� “2013���~2015��� ������ ��������� ������������”��� ��� 36,000��� ������������ ������ ��� ��������� ��������� ������ ������������ ��������� ��������� ��������� ��������� ������. ������ ��������� ������ ��������������� ‘��������� ���������’, ‘��������� ������’, ‘������������’ ��������� ������ ������ ��������� ��������� ��������� ������������ ������ ������������ ��������� ������ ������������ ������ ������ ���������. ��� ��������������� SPSS IBM Modeler 16.0��� ������������������(C5.0, CART, CHAID, QUEST), ���������������, ������������ ��������������� ������������������ ��������� ������������ ��������������� ������ ��� ��������� ��������� ������ ������ 7��������� ������ ���������������, ��������������� ��� ������������������ ������������ ������ ������ ������������ ��������� R������������������ ������������ SPSS IBM Modeler 16.0��� ������ ��������� ��� ������������������ ������������ ���������������. ��������� ������ ������ "��������� ���������"��� ������ ��������� ��������� ������ ������ 7������ ������������������, ���������������, ���������������, ���������������������, ������������������������, ������������������, ��������� ��������������� ������ ��� ������������ ������ ��������� ������������������ ��������������������� ���������������. ‘��������� ������’��� ������ ��������� ��������� ������ ������ 7��������� ������, ������ ������, ������, ���������������, ������ ��������� ������, ������������������������������, ��������������������� ��������������� ������ ������ ��� ������������ ������ ��������� ������������������ ������ ��������� ���������������. ��������������� ‘������������’��� ��������� ��������� ������ ������ 7��������� ������, ������������������, ������������������, ���������������, ������, ������������������������������, ������������ ��������������� ������ ��� ������������ ������ ��������� ������, ������������������, ������������������ ���������������. ��������� ��� ��������� ��������������� ��������� ��������� ��������� ���������������, ��������������������� ������������������ ������ ������������ ��������������� ��������������� ������ ��������� ������������ ��������� ������, ��������������� ��������� ��������� ��������� ������ ��������� ��� ���������. ��� ��������� ������ ��������������� ��������������� ������ ��������� ��������� “������ ��������� ������������” ��� ��������� ��������� ������ ������������������ ������ ������ ��������� ��������� ��������� ������ ������ ��������� ��������������� ��������� ��� ������ ��������� ������������ ������ ������ ��� ������������������ ������ ��������������� ��������� ��� ������ ��������� ��������� ������������ ��������� ��������� ��� ������ ��������� ������������. Korea is currently accumulating a large amount of data in public institutions based on the public data open policy and the "Government 3.0". Especially, a lot of data is accumulated in the tourism field. However, the academic discussions utilizing the tourism data are still limited. Moreover, the openness of the data of restaurants, hotels, and online tourism information, and how to use SNS Big Data in tourism are still limited. Therefore, utilization through tourism big data analysis is still low. In this paper, we tried to analyze influencing factors on foreign tourists" satisfaction in Korea through numerical data using data mining technique and R programming technique. In this study, we tried to find ways to revitalize the tourism industry by analyzing about 36,000 big data of the "Survey on the actual situation of foreign tourists from 2013 to 2015" surveyed by the Korea Culture & Tourism Research Institute. To do this, we analyzed the factors that have high influence on the "Satisfaction", "Revisit intention", and "Recommendation" variables of foreign tourists. Furthermore, we analyzed the practical influences of the variables that are mentioned above. As a procedure of this study, we first integrated survey data of foreign tourists conducted by Korea Culture & Tourism Research Institute, which is stored in the tourist information system from 2013 to 2015, and eliminate unnecessary variables that are inconsistent with the research purpose among the integrated data. Some variables were modified to improve the accuracy of the analysis. And we analyzed the factors affecting the dependent variables by using data-mining methods: decision tree(C5.0, CART, CHAID, QUEST), artificial neural network, and logistic regression analysis of SPSS IBM Modeler 16.0. The seven variables that have the greatest effect on each dependent variable were derived. As a result of data analysis, it was found that seven major variables influencing ‘overall satisfaction’ were sightseeing spot attraction, food satisfaction, accommodation satisfaction, traffic satisfaction, guide Korea is currently accumulating a large amount of data in public institutions based on the public data open policy and the "Government 3.0". Especially, a lot of data is accumulated in the tourism field. However, the academic discussions utilizing the tourism data are still limited. Moreover, the openness of the data of restaurants, hotels, and online tourism information, and how to use SNS Big Data in tourism are still limited. Therefore, utilization through tourism big data analysis is still low. In addition, in order to grasp the influence of each independent variables more deeply, we used R programming to identify the influence of independent variables. As a result, it was found that the food satisfaction and sightseeing spot attraction were higher than other variables in overall satisfaction and had a greater effect than other influential variables. Revisit intention had a higher β value in the travel motive as the purpose of Korean Wave than other variables. It will be necessary to have a policy that will lead to a substantial revisit of tourists by enhancing tourist attractions for the purpose of Korean Wave. Lastly, the recommendation had the same result of satisfaction as the sightseeing spot attraction and food satisfaction have higher β value than other variables. From this analysis, we found that ‘food satisfaction’ and ‘sightseeing spot attraction’ variables were the common factors to influence three dependent variables that are mentioned above(‘Overall satisfaction’, ‘Revisit intention’ and ‘Recommendation’), and that those factors affected the satisfaction of travel in Korea significantly. The purpose of this study is to examine how to activate foreign tourists in Korea through big data analysis. It is expected to be used as basic data for analyzing tourism data and establishing effective tourism policy. It is expected to be used as a material to establish an activation plan that can contribute to tourism development in Korea in the future

    User evaluations of tax filing web sites A comparative study of South Korea and Turkey

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    Purpose - The purpose of this paper is to compare the web-based tax filing systems of Turkey and South Korea. The comparison is based on user satisfaction which has parameters such as ease of work, adequacy of the amount of information, display speed, convenience to life, job productivity, and help service. Design/methodology/approach - The tax filing systems are presented along with a background of such systems and their usability parameters. The survey instrument that has been prepared for gauging user satisfaction was applied to the users in both countries. The statistical analyses of the results are performed through t-test and stepwise regression. Findings - The study shows that users in the two countries felt differently in such factors as ease of work, adequacy of the amount of information, display speed, convenience to life, job productivity, and help service. Although Turkey has a complex tax system Turkish users did not find the tax filing system difficult to use and that may be attributable to the fact that they are accounting professionals who frequently use the system. Practical implications - Electronic tax filing is an important e-government application that has become increasingly common all over the world. Beyond the usual benefits of e-government such as reducing transaction costs and providing convenience, electronic tax filing systems are particularly useful for governments to avoid tax evasion and errors. Although, by definition, web-based tax filing systems of different countries have to be different, universal design parameters of each system and the resulting user satisfaction levels may provide guidelines for new systems. Originality/value - Unlike other types of information systems, which have been comparatively analyzed in the context of more than one country, this is not applicable to e-government systems. To the authors' knowledge the present article is the first attempt to compare and analyze two countries' different e-government systems

    Investigating older adults users’ willingness to adopt wearable devices by integrating the technology acceptance model (UTAUT2) and the Technology Readiness Index theory

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    ObjectiveWith the continuous advancement of wearable technology, smart wearable devices are increasingly recognized for their value in health monitoring, assessment, and intervention for the older adults, thus promoting intelligent older adults care. This study, based on the theoretical framework of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and the Technology Readiness Index (TRI) model, aims to identify and explore the key factors influencing older adults consumers’ willingness to adopt smart wearable devices and their impact mechanisms.MethodA questionnaire survey was conducted to collect valid data from 389 older adults respondents. Empirical analysis validated the model’s applicability and explored the key factors influencing acceptance.ResultsFactors influencing the use of smart wearable devices by the older adults include performance expectancy (β = 0.152, p < 0.001), effort expectancy (β = 0.154, p < 0.001), social influence (β = 0.135, p < 0.05), facilitating conditions (β = 0.126, p < 0.05), hedonic motivation (β = 0.166, p < 0.001), price value (β = 0.182, p < 0.001), and digital health literacy (β = 0.189, p < 0.001). Additionally, optimism (β = 0.208, p < 0.001), innovativeness (β = 0.218, p < 0.001), and discomfort (β = −0.245, p < 0.001) significantly positively influenced performance expectancy, while optimism (β = 0.282, p < 0.001), innovativeness (β = 0.144, p < 0.01), discomfort (β = −0.239, p < 0.001), and insecurity (β = −0.117, p < 0.05) significantly positively influenced effort expectancy. Insecurity did not significantly influence performance expectancy. Performance expectancy and effort expectancy partially mediated the relationship between personality traits (optimism, innovativeness, discomfort, and insecurity) and behavioral intention. Digital health literacy significantly negatively moderated the relationship between performance expectancy and behavioral intention, as well as between effort expectancy and behavioral intention.DiscussionThe study confirms that integrating the UTAUT2 model and TRI theory effectively explains the acceptance of smart wearable devices among older adults consumers, emphasizing the importance of enhancing digital health literacy in the design and promotion of smart health devices. The findings provide guidance for developers, increasing the acceptance and usage rate of these devices among the older adults

    A Study of the Influencing Factors on the User Satisfaction for the UCI Digital Identifier System

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    Korean Government has invested a lot of efforts on digital contents industry. It believes that the digital contents industry enables Korea to regain the reputation of the most powerful IT country. Among its various efforts to promote the digital contents industry,a Digital Contents Identifier System, called UCI(Universal Contents Identifier), has been developed and deployed. UCI has provided a critical infrastructure for digital contents production and distribution. Thanks to Korean Government���s efforts, users (companies and individuals) have currently registered 3.8 million digital contents through 25 RA organizations. Although the number of registered contents has been increased rapidly, many organizations hesitate to adopt the UCI system due to the lack of visible and short-term returns from the UCI system. Thus, this research tries to explore factors which affect UCI user satisfaction. This research finds that user���s awareness, information quality, and service quality are the critical influencing factors toward UCI user satisfaction. In addition, this research finds that the critical influencing factors in public organizations are different from the critical influencing factors in private organizations. These findings hopefully provide useful guidelines for disseminating the UCI system widel

    An Agent Based Market Design Methodology for Combinatorial Auctions

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    Auction mechanisms have attracted a great deal of interest and have been used in diverse e-marketplaces. In particular, combinatorial auctions have the potential to play an important role in electronic transactions. Therefore, diverse combinatorial auction market types have been proposed to satisfy market needs. These combinatorial auction types have diverse market characteristics, which require an effective market design approach. This study proposes a comprehensive and systematic market design methodology for combinatorial auctions based on three phases: market architecture design, auction rule design, and winner determination design. A market architecture design is for designing market architecture types by Backward Chain Reasoning. Auction rules design is to design transaction rules for auctions. The specific auction process type is identified by the Backward Chain Reasoning process. Winner determination design is about determining the decision model for selecting optimal bids and auctioneers. Optimization models are identified by Forward Chain Reasoning. Also, we propose an agent based combinatorial auction market design system using Backward and Forward Chain Reasoning. Then we illustrate a design process for the general n-bilateral combinatorial auction market. This study serves as a guideline for practical implementation of combinatorial auction markets design.Combinatorial Auction, Market Design Methodology, Market Architecture Design, Auction Rule Design, Winner Determination Design, Agent-Based System

    Buyer-Carts for B2B EC: The b-Cart Approach

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    B-Cart based Agent System for B2B EC

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    To realize the implementation of agent based B2B e-Commerce, we design the b-Cart based B2B agent framework. B-Cart implies a buyer's shopping cart which a buyer carries to the seller's sites. The prototype agent, named AgentB, is designed to provide an effective architecture for employee's direct desktop purchasing from multiple external seller's e-marketplaces. In this paper, we propose the thirteen features of b-cart based agent system in B2B EC; Identification, User Dialog, Collection, Trashing, Individual Purchase Decision Support, Organizational Purchase Decision Support, Negotiation, Ordering, Payment, Tracking, Recording, Record Transmission, Knowledge Maintenance. Based on these features, we design the buying process, message interfaces, and analyze the pros and cons of AgentB. Even though AgentB has some overheads such as in development, operation, and deployment, the buyer using a b-cart can collect items from different e-marketplaces, and can order purchases simultaneously over the collected items. It also supports integrated services in personalized comparison on purchasing items, order tracking, financial/payment management, user's account management, negotiation management, and personal decision support along the organizational decision making process. AgentB architecture allows a tight integration of the b-cart with e-procurement systems
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