1,720,961 research outputs found
Rule-based personalized comparison shopping including delivery cost
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
��� ��������������� ��������������������������������� ��������� “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
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
A Study of the Influencing Factors on the User Satisfaction for the UCI Digital Identifier System
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
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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