• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.7
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• pp.2840-2861
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• 2020

The purpose of this survey-based study is to make an analysis of search engine users' behaviors on the Search Engine Results Pages (SERPs) based on the three demographic characteristics gender, age, and program studying. In this study, a questionnaire was designed with 12 closed-ended questions. Remaining questions other than the demographic characteristic related ones were about "tab", "advertisement", "spelling suggestion", "related query suggestion", "instant search suggestion", "video result", "image result", "pagination" and the amount of clicking results. The questionnaire was used and the data collected were analyzed with the descriptive statistics as well as the inferential statistics. 84.2% of the study population was reached. Some of the major results are as follows: Most of each demographic characteristic category (i.e. female, male, under-20, 20-24, above-24, English computer engineering, Turkish computer engineering, software engineering) have rarely or more click for tab, spelling suggestion, related query suggestion, instant search suggestion, video result, image result, and pagination. More than 50.0% of female category click advertisement rarely; however, for the others, 50.0% or more never click advertisement. For every demographic characteristic category, between 78.0% and 85.4% click 10 or fewer results. This study would be the first attempt with its complete content and design. Search engine providers and researchers would gain knowledge to user behaviors about the usage of the SERPs based on the demographic characteristics.

• Journal of Fashion Business
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• v.14 no.6
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• pp.170-187
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• 2010

This paper is to analyze the effect of demographic factors on children' wear buying pattern, media and information utilization, and design preference. A total of 355 usable data was collected from house wives in three metropolitan cities(Seoul, Daejon, Bundang) in Korea. Correlation analysis showed that there were statistically significant correlation between demographic factors and clothing buying behavior, information utilization, and design preference. Also, Regression results showed that 8 Demographic Factors are significant predictors. The results with ANOVA showed that there were significant relationships between PURCHASE OCCASION and DISPLAY INFORMATION UTILIZATION, and showed that there were significant relationships (F=28.625, p=<.001) between PURCHASE MOTIVATION and SALES PERSON ADVICES UTILIZATION. Thus, both visuality and friendliness of service were affected by consumers. Considering the increasing importance of service quality in the retail VMD, sale promotion should be enhanced and sale person is needed to be trained to be friendly to all consumers regardless of product composition

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.63-70
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• 2022

This study is to investigate that population change as a result of the decline in population has a correlation with a decrease in crime, with the change in the demographic composition by comparing with two models: model with growth in population and one with the decline in population. We collected demographic data for all cities in Korea from the 2010 Census to 2020 offered by the Korean Statistical Information Service, with crime data comprising serious reported crime events from the Korean Nation Police Agency through requesting data related to the total number of crimes at the same as the period of demographic data. This study can identify the impacts of demographic changes as a result of population change on crime change through a comparative analysis between areas with population growth and ones with population decline. We can confirm that there are differences in determinants of crime between areas with population increase and one with population decrease from the analysis of the impact of demographic change as a result of population change on crime change.

• Journal of the Korean Data and Information Science Society
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• v.17 no.4
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• pp.1219-1235
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• 2006

This study aimed to inquire the relationship among wellness, quality of life and socio-demographic variables in Korean middle school students. 'Korean Wellness Scale for Middle school students(K-WSM), Quality of Life Scale, and other socio-demographic data were surveyed to 1,200 students in national wide area. For the results, ANOVA, Pearson's Correlation, and Multiple regression were conducted. With demographic variables, sex, religion, & academic achievement of students, social economic status(SES) and living with both of parents were positively related to wellness and quality of life. But grade and physical disease of student didn't show significant relationships. The relationship between wellness and quality of life showed high correlation (r=.66, p < .05). Among the wellness subscales, spiritual and social wellness showed significant predictive power. In the end, the contributions and limitations of this study were discussed.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.969-980
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• 2020

This study examines the acceptance factors, barriers, benefits, and strategies for resolving Information and Communication Technology (ICT) adoption and usage problems based on the different demographic characteristics of SMEs. The demographic characteristics investigated are gender, educational qualifications, age, managerial status, and years of business experience. To the best of our knowledge, this paper is the first to examine a more comprehensive demographic characteristics in the context of ICT adoption. A survey using self-administered questionnaires was conducted to retrieve information from SME owners/managers in Pekalongan, the local city of Indonesia. The items in the questionnaire were discussed with various experts in the field and a pilot study was conducted prior to the distribution of the research instrument. The study made some interesting findings. No significant differences were found in the SMEs' adoption factors between the demographics of gender groups and educational qualifications. However, significant disparities were found to exist among the age compositions, managerial status, and years in business. Additionally, younger managers/owners of SMEs find it easier to understand the background factors of ICT adoption. Lastly, older managers/owners are more likely to stick to the organizational status quo, be less able to learn new technology, and more likely to avoid risky decisions.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.61-68
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• 2012

Recommender Systems have gained much popularity among researchers and is applied in a number of applications. The exponential growth of users and products poses some key challenges for recommender systems. Recommender Systems mostly suffer from scalability and accuracy. The accuracy of Recommender system is somehow inversely proportional to its scalability. In this paper we proposed a Context Aware Hybrid Recommender System using matrix reduction for Hybrid model and clustering technique for predication of item features. In our approach we used user item-feature rating, User Demographic information and context information i.e. specific time and day to improve scalability and accuracy. Our Algorithm produce better results because we reduce the dimension of items features matrix by using different reduction techniques and use user demographic information, construct context aware hybrid user model, cluster the similar user offline, find the nearest neighbors, predict the item features and recommend the Top N- items.

• The International Journal of Costume Culture
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• v.3 no.2
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• pp.136-146
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• 2000

The purpose of this study was to investigate the effect of demographic characteristics and general buying characteristics of knitwear consumers on evaluation criteria and information source searching. In this study, a self-administered questionnaire was distributed to young career women and female undergraduate students. Of 580 questionnaires, 496 were used in the following analysis. The data was analyzed with the SPSS package. The research method used factor and reliability analysis to segment consumers by their knitwear evaluation criteria. T-test, one-way ANOVA and χ²were used to characterize the impact of characteristics of the consumer on knitwear evaluation criteria and information source searching in buying knitwear. The results of this study were as follows. First, the information sources of consumers were significantly different depending on their demographic characteristics(age). According to the difference in relationship between the age of consumers and information sources, the younger the consumer, the more information in fashion magazine, the older, in fashion advertisement on catalog. Second, the knitwear evaluation criteria of consumers was classified according to six characteristics - quality, price, aesthetic, situation, self-expression and external. Their knitwear evaluation criteria were significantly different depending on demographic characteristics(job, age, education, marital status) and the general buying characteristics of knitwear(annual knitwear/clothing buying expense and frequency). Career women and married women placed significant importance on practical aspects like quality and price characteristics, while undergraduate students and single women placed significant importance on practical aspects like quality and price characteristics, while undergraduate students and single women placed significant importance on aesthetic and self-expression characteristics. Also, a group with higher annual knitwear/clothing buying expense and frequency considered aesthetic and self-expression characteristics more important. The lower the annual knitwear/clothing buying expense and frequency, the higher a group considered quality and price characteristics more important.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.3
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• pp.23-32
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• 2015

The aim of this work is to study the specifics of demographic processes in the Republic of Kazakhstan and to justify proposals concerning improvement of tendencies and methods of realizations of demographic policy in the country. The following methods have been used in this study: the principles of system approach; methods of statistical and comparative economic analysis, sociological analysis; method of expert evaluations; generalization and system analysis. Statistical method is based on the accountability of statistics office of the Ministry of National Economy of the Republic of Kazakhstan (RK) and on the results of sociological studies. The official statistic information, materials of the population census of the RK, materials of the Ministry of Health and Social Development of RK, data from author's studies, carried out in the Institute of Economy of science committee of Ministry of Education and Science of the Republic of Kazakhstan were used in this study. The conclusion about positive tendencies in demographic processes and about necessity of improvement of demographic policy was made. A number of proposals and recommendations concerning creation of favorable social and economic conditions for improvement of demographic situation, enhancement of institutional basis of demographic policy, forms and methods of its realization considering priorities of future development of Kazakhstan were justified.

• Agribusiness and Information Management
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• v.5 no.2
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• pp.1-5
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• 2013

Demographic transition drives changes in consumer demand for food products. This study examines how rising incomes and population trends affect spending on food purchased for home. The objective of this study is to characterize the relationships between selected socio-demographic factors and food selection among South Korean households. Panel data from Rural Development Administration (RDA) in South Korea in 2010 was used (n=971). Household food purchases were classified into one of the five food groups from Composition of Foods of RDA. Multiple regression analysis was used to analyze the effects of household size and income based on the expenditure share on each food group. All statistical analyses were performed using SAS/ PC version 9.3. Results show that household socio- demographic characteristics have a strong influence on food purchasing, with the purchase of vegetables and fruit, and processed food and pre-packaged being particularly sensitive.

• Journal of the Korean Data and Information Science Society
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• v.15 no.4
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• pp.855-866
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• 2004

In many surveys, one of the most important goals is to obtain reliable and valid responses from respondents. To achieve the goal, a researcher have to make efforts to protect respondents' confidentiality and to reduce the effects of social desirability on answers. The key question of this paper is whether the position of demographic questions have an effect on responses. Two types of questionnaires are considered: one puts the demographic questions at the beginning and the other does at the last. On both types, I asked only a small number of demographic questions which are considered as essential on analytic purposes. The results show no evidence of position effects when the risk to threat confidentiality was minimized.