• Asia pacific journal of information systems
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• v.19 no.1
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• pp.1-31
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• 2009

This paper empirically examines factors that potentially influence the success of a Web-based semantic search engine. A research model has been proposed that shows the impact of quality-related factors upon the effectiveness of a semantic search engine, based on DeLone and McLean's(2003) information systems success model. An empirical study has been conducted to test hypotheses formulated around the research model, and statistical methods were applied to analyze gathered data and draw conclusions. Implications for academics and practitioners are offered based on the findings of the study. The proposed model includes three quality dimensions of a Web-based semantic search engine-namely, information quality, system quality and service quality. These three dimensions each have measures designed to collectively assess the respective dimension. The model is intended to examine the relationship between measures of these quality dimensions and measures of two dependent constructs, including individuals' net benefit and user satisfaction. Individuals' net benefit was measured by the extent to which the user's information needs were adequately met, whereas user satisfaction was measured by a combination of the perceived satisfaction with search results and the perceived satisfaction with the overall system. A total of 23 hypotheses have been formulated around the model, and a questionnaire survey has been conducted using a functional semantic search website created by KT and Hakia, so as to collect data to validate the model. Copies of a questionnaire form were handed out in person to 160 research associates and employees working in the area of designing and developing semantic search engines. Those who received the form, 148 respondents returned valid responses. The survey form asked respondents to use the given website to answer questions concerning the system. The results of the empirical study have indicated that, of the three quality dimensions, information quality was found to have the strongest association with the effectiveness of a Web-based semantic search engine. This finding is consistent with the observation in the literature that the aspects of the information quality should serve as a basis for evaluating the search outcomes from a semantic search engine. Measures under the information quality dimension that have a positive effect on informational gratification and user satisfaction were found to be recall and currency. Under the system quality dimension, response time and interactivity, were positively related to informational gratification. On the other hand, only one measure under the service quality dimension, reliability was found to have a positive relationship with user satisfaction. The results were based on the seven hypotheses that have been accepted. One may wonder why 15 out of the 23 hypotheses have been rejected and question the theoretical soundness of the model. However, the correlations between independent variables and dependent variables came out to be fairly high. This suggests that the structural equation model yielded results inconsistent with those of coefficient analysis, because the structural equation model intends to examine the relationship among independent variables as well as the relationship between independent variables and dependent variables. The findings offer some useful implications for owners of a semantic search engine, as far as the design and maintenance of the website is concerned. First, the system should be designed to respond to the user's query as fast as possible. Also it should be designed to support the search process by recommending, revising, and choosing a search query, so as to maximize users' interactions with the system. Second, the system should present search results with maximum recall and currency to effectively meet the users' expectations. Third, it should be capable of providing online services in a reliable and trustworthy manner. Finally, effective increase in user satisfaction requires the improvement of quality factors associated with a semantic search engine, which would in turn help increase the informational gratification for users. The proposed model can serve as a useful framework for measuring the success of a Web-based semantic search engine. Applying the search engine success framework to the measurement of search engine effectiveness has the potential to provide an outline of what areas of a semantic search engine needs improvement, in order to better meet information needs of users. Further research will be needed to make this idea a reality.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.27
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• pp.183-213
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• 2005

This study is achieving overseas investment to be kept and manages important position in business scope because Korean Company achieves business in major market in world and goes forward. under proposition that development(foreign direct investment) previous engagement can not but differ with advanced nation enterprise's model in over sea direct investment achievement. Grasp ramification(pattern change substance) of overseas direct investment since the 1990 to korean manufacture Firm(enterprise). Seek political consultation by analyzing change of factor and investment decision factor by year in dimension by industry investment winter season by year affecting in oversea direct investment and was attained in purpose to verify existent theory's explanation power connected with investment previous engagement. This is that can develop and procure competitive advantage of enterprise peculiarity by making overseas direct investment adversely with existent theory that can make foreign country direct investment though there is high position of enterprise characteristic's competitive advantage and move of knowledge and information is important in korean firm's overseas direct investment in globalization roadbed in at least own field through change and renovation establish experiment model under proposition that should grope more active previous engagement than advanced nation enterprise and arranged subject of study if it is korean's firm that wish to become universal guidance enterprise. and examine trend of direct investment and actual conditions invested first in the foreign countries as examples by investment department, by investment industry inside of investment scale etc..., establish korean firm's invest area selection and decision and investment very important person and effect analysis Circumstance-model that is based in strategic adaptedness by year. Circumstance-variable have influenced how in overseas direct investment and decision and what variable will be considered first in over sea direct investment did Empirical analysis in here after

• Journal of The Korean Astronomical Society
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• v.46 no.3
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• pp.133-140
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• 2013

The empirical mass discrepancy-acceleration (MDA) relation of disk galaxies provides a key test for models of galactic dynamics. In terms of modified laws of gravity and/or inertia, the MDA relation quantifies the transition from Newtonian to modified dynamics at low centripetal accelerations $a_c{\lesssim}10^{-10}ms^{-2}$. As yet, neither dynamical models based on dark matter nor proposed modifications of the laws of gravity/inertia have predicted the functional form of the MDA relation. In this work, I revisit the MDA data and compare them to four different theoretical scaling laws. Three of these scaling laws are entirely empirical; the fourth one - the "simple ${\mu}$" function of Modified Newtonian Dynamics - derives from a toy model of gravity based on massive gravitons (the "graviton picture"). All theoretical MDA relations comprise one free parameter of the dimension of an acceleration, Milgrom's constant aM. I find that the "simple ${\mu}$" function provides a good fit to the data free of notable systematic residuals and provides the best fit among the four scaling laws tested. The best-fit value of Milgrom's constant is $a_M=(1.06{\pm}0.05){\times}10^{-10}ms^{-2}$. Given the successful prediction of the functional form of the MDA relation, plus an overall agreement with the observed kinematics of stellar systems spanning eight orders of magnitude in size and 14 orders of magnitude in mass, I conclude that the "graviton picture" is sufficient (albeit probably not a necessary nor unique approach) to describe galactic dynamics on all scales well beyond the scale of the solar system. This suggests that, at least on galactic scales, gravity behaves as if it was mediated by massive particles.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.119-132
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• 2021

This study focused on examining the impact of the social context that causes gender differences in entrepreneurship, not the phenomenon itself. Specifically, this study verified the moderating effect of the social context on the relationship between gender and entrepreneurship using data from 20 countries in the Global Entrepreneurship Trend Report (GETR). In order to test hypotheses involving social context implications, Hofstede's cultural dimension factors such as power distance, individualism, masculinity, and uncertainty avoidance variables, and institutional factors such as gender equality and social security are used as specific variables reflecting the social context. Empirical analysis through GLM found that gender did not independently influence entrepreneurship, and gender had a significant effect by interacting with power distance, individualism, uncertainty avoidance, gender equality, and social security variables, respectively. Such empirical results show that the gender difference in entrepreneurship is not due to the unique characteristics inherent in each gender but on the level of the country's social context to which the individual belongs.

• Journal of Distribution Science
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• v.13 no.4
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• pp.89-98
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• 2015

Purpose - In today's globalized and modern business environment, corporate social responsibility (CSR) activities are considered to be essential for the sustainable development of enterprises. In addition, the corporate philanthropy that is related to CSR practices, as well as their being capable of reducing the anti-corporate sentiment of people have facilitated a qualitative forward leap into the quantitative growth phase. This study aims to undertake a comparative evaluation of corporate philanthropy through the Importance-Performance Analysis (IPA) method focusing on service and manufacturing industries, and to eventually determine a differentiated approach that is needed for corporate philanthropy. Research design, data, and methodology - The survey responses were collected through online research on specialized companies from consumers nationwide who were aged from 20 to 60 and who are aware of corporate philanthropy. A total of 408 sheets of questionnaire survey were used. Frequency analysis was undertaken in this study. The interviewees had demographic characteristics of gender: 206 males (50.5%) and 202 females (49.5%). They also had demographic characteristics of age: 82 people were over 20 (20.1%), 96 over 30 (23.5%), 105 over 40 (25.7%), and 125 over 50 (30.7%) years of age. The distribution of interviewees' residences is as follows: 154 persons (37.7%) in the Special City, 102 persons (25.0%) in the Metropolitan City, and 152 persons (37.3%) in the Provincial Region. The interviewees have been working for the following companies: 34 persons (8.3%) in LG Display, 80 (19.6%) in KT&G, 49 (12.0%) in Amore Pacific, 42 (10.3%) in KIA Motors, 47 (11.5%) in SBS, 52 (12.8%) in Shinhan Bank, 86 (21.1%) in Asiana Airlines, and 18 (4.4%) in Hyundai Department Store. We applied the paired t-test for the IPA analysis. PASW Statistics 18 was used for statistical analysis. Results - The results of IPA analysis indicated that the importance and performance degrees in both manufacturing and service industries were significantly different. Major empirical results showed that, in consumer, social, economic, philanthropic, and environmental dimensions, in the sub-factors of philanthropy activities in both manufacturing and service industries, the importance degree was found to be higher than performance degree. Further, the average difference between importance degree and performance degree by the sub-factors of philanthropy activities. On the other hand, the average difference of environmental dimension was found to be highest in both service and manufacturing industries. Thus, while consumers consider the philanthropy activities of the environmental dimension as most important, actual companies treat performance of philanthropy activities of the environmental dimension insufficiently or negligibly to some degree. Conclusions - The differentiated approach method that is required for corporate philanthropy may be proposed to uplift corporate accomplishments by analyzing the IPA of the attributes of the sub-factors of corporate philanthropy. This is, to an extent, insufficient in the existing studies related to the use of the IPA technique, and it shows the items that are to be conducted intensively.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.3
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• pp.59-66
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• 2016

This paper presents an empirical evaluation on dimensionality reduction strategies by which dissimilarity-based classifications (DBC) can be implemented efficiently. In DBC, classification is not based on feature measurements of individual objects (a set of attributes), but rather on a suitable dissimilarity measure among the individual objects (pair-wise object comparisons). One problem of DBC is the high dimensionality of the dissimilarity space when a lots of objects are treated. To address this issue, two kinds of solutions have been proposed in the literature: prototype selection (PS)-based methods and dimension reduction (DR)-based methods. In this paper, instead of utilizing the PS-based or DR-based methods, a way of performing DBC in Eigen spaces (ES) is considered and empirically compared. In ES-based DBC, classifications are performed as follows: first, a set of principal eigenvectors is extracted from the training data set using a principal component analysis; second, an Eigen space is expanded using a subset of the extracted and selected Eigen vectors; third, after measuring distances among the projected objects in the Eigen space using $l_p$-norms as the dissimilarity, classification is performed. The experimental results, which are obtained using the nearest neighbor rule with artificial and real-life benchmark data sets, demonstrate that when the dimensionality of the Eigen spaces has been selected appropriately, compared to the PS-based and DR-based methods, the performance of the ES-based DBC can be improved in terms of the classification accuracy.

• The Research Journal of the Costume Culture
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• v.11 no.1
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• pp.103-117
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• 2003

The aim of this study was to identify dimensions of salesperson´s effort according to older female(55+) customer's and fashion store salesperson's perspective and to examine what kind of effort dimensions are assessed to be more important than others. As a method, both literature review and empirical research were made. This study was performed in three stage from December in 2001 to May in 2002. For exploratory step. In-depth interview and observation study were done for gathering responses related to salesperson´s effort. in pilot study, 83 older female customers were surveyed and the data was analyzed in order to develop questionnaire. In the main research. 202 older female customers and 103 fashion store salespersons were surveyed in order to identify the dimensions of salesperson's effort. Statistical analyses were performed with SAS program using factor analysis. cronbach´a mean, t-test. paired t-test and multiple regression analysis. The results of this study were as follows. First, 5 factors was selected for the dimensions of salesperson´s effort in customer´s perception; friendliness, attentiveness. product competence. effective access and special treatment. Second, 5 factors was selected for the dimensions of salesperson's effort in salesperson´s performance; friendliness/ attentiveness. product competence. effective access. communication, and purchase exaction. Third. dimensions of salesperson's effort were different according to customer and salesperson's characteristics. Last, there were significant differences in the salesperson's efforts between customers´perception and salespersons´Performance.

• Journal of the Korean housing association
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• v.27 no.6
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• pp.95-104
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• 2016

The purpose of this research is to compare housing wealth effects of home-owning single income couples (SIC) and dual income couples (DIC) on their non-durable consumption and to assess the effects by location, age groups, housing structure type, debt-to-asset ratio and employment status. Using the Korean Labor and Income Panel Study (KLIPS) of 2014, this empirical study identified 1,198 SIC households and 1,044 DIC households, and employed multiple regression analysis. The main results reveal that the difference of financial portfolios between SIC and DIC households was little but housing wealth effects were stronger among SIC households than DIC counterpart. It's evident that housing wealth effects were conspicuous for SIC and DIC households who were headed by wage earners aged over 40s, and resided in apartment outside the Seoul Metropolitan Area. However, household debt became a determinant in contradicting housing wealth effects of SIC and DIC households. While the household financial dimension was in proportion to income, DIC households didn't gain much financial security due to increasing expenditure. Further, this research imply that liquidity constraints explicitly posed a more serious threat to SIC households whose dependence on housing asset is larger than their counterpart.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.225-234
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• 2019

The study aims to explore key dimensions of service quality of E-Retailing of Islamic banks in the Kingdom of Saudi Arabia. The convenience sample size consists of 373 respondents who regularly use online Islamic banking facilities in Saudi Arabia was used. For measuring the consumers' perspective, a four-factor E-SERVQUAL scale; namely efficiency, system availability, fulfillment, and privacy was used. Exploratory Factor Analysis and Confirmatory Factor Analysis are used to test the model fitness. Structural equation modelling is utilized to determine the impact of E-service quality dimensions on customers' satisfaction. The results of the study reveal that 1) reliability as a dimension of E-retailing of Islamic banks made a significant impact on customers' overall satisfaction; 2) there is a positive significant relationship between responsiveness and customers' overall satisfaction. One unit increased in responsive leads to 0.763 unit increases in the overall satisfaction of the customer; and 3) ease of use is the most important dimensions of service quality of E-retailing of Islamic banks. One unit increases in Security/ Privacy leads to 0.473 unit increases in overall satisfaction. There is a positive impact of good E-service on customers' satisfaction, but it does not override unsatisfactory performance in other areas.

• Journal of the Korean Society for Precision Engineering
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• v.27 no.1
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• pp.76-83
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• 2010

There have been many studies regarding development of autonomous excavation system which is helpful in construction sites where repetitive jobs are necessary. Unfortunately, bucket trajectory planning was excluded from the previous studies. Since, the best use of excavator is to dig efficiently; purpose of this research was set to determine an optimized bucket trajectory in order to get best digging performance. Among infinite ways of digging any given path, criterion for either optimal or efficient bucket moves is required to be established. One method is to adopt work know-how from experienced excavator operator; However the work pattern varies from every worker to worker and it is hard to be analyzed. Thus, other than the work pattern taken from experienced operator, we developed an efficiency model to solve this problem. This paper presents a method to derive a bucket trajectory from optimization theory with empirical CLUB soil model. Path is greatly influenced by physical constraints such as geometry, excavator dimension and excavator workspace. By minimizing a energy function under these constraints, an optimal bucket trajectory could be obtained.