• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1935-1952
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• 2022

Consumer innovativeness plays a vital role in explaining consumer dynamics, such as adoption, usage, and behavioral intention, in the new world of disruptive online media. This empirical study aimed to examine the importance of consumer innovativeness and digital literacy in the adoption and expansion of new technology-based media services, focusing on OTT services. Extending the theory of adoption of new technologies by innovators to new media environment centered on OTT services, it examines the influence of the four dimensions of motivated consumer innovativeness on OTT service usage. The Korea Media Panel Data of 2019, where overall ICT usage and media consumption of a broad panel of respondents was collected, was used for the analysis. From the data of 10,864 respondents, 4,031 (37.1%) were found to have experience in using OTT services. To clarify the mediating effect of digital literacy on the correlations between cognitive innovativeness of consumers and their use of OTT services, Process Macro Model 4 was used. The bootstrap method was applied to reveal that all four dimensions of consumer innovativeness have a significant indirect effect on new media usage through digital literacy, thus indicating how digital literacy plays an important role in the spread of new digital services in addition to consumer innovativeness. The findings are important in that they can help in the efforts to introduce new technologies to the public and educate them to improve their digital literacy so that they can enjoy the complete experience of using these new digital products.

• 농업과학연구
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• 제47권4호
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• pp.769-782
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• 2020

Interest in fruit and vegetables has increased due to changes in consumer consumption patterns, socioeconomic status, and family structure. This study determined the factors influencing the demand for fruit and vegetables (strawberries, paprika, tomatoes and cherry tomatoes) using a panel of Rural Development Administration household-level purchases from 2010 to 2018 and compared the ability to the prediction performance. An artificial neural network model was constructed, linking household characteristics with final food expenditure. Comparing the analysis results of the artificial neural network with the results of the panel model showed that the artificial neural network accurately predicted the pattern of the consumer panel data rather than the fixed effect model. In addition, the prediction for strawberries was found to be heavily affected by the number of families, retail places and income, while the prediction for paprika was largely affected by income, age and retail conditions. In the case of the prediction for tomatoes, they were greatly affected by age, income and place of purchase, and the prediction for cherry tomatoes was found to be affected by age, number of families and retail conditions. Therefore, a more accurate analysis of the consumer consumption pattern was possible through the artificial neural network model, which could be used as basic data for decision making.

• 한국경영과학회지
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• 제31권2호
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• pp.157-167
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• 2006

Estimating the effects of price increase on a company's sales is important task faced by managers. If consumer has prior information on price increase or expects it, there would be stockpiling and subsequent drops in sales. In addition, consumer can suppress demand in the short run. These factors make the sales dynamic and unstable. In this paper we develop a time series model to evaluate the sales patterns with stockpiling and short-term suppression of demand and also propose a forecasting procedure. For estimation, we use panel data and extend the model to Bayesian hierarchical structure. By borrowing strength across cross-sectional units, this estimation scheme gives more robust and reasonable result than one from the individual estimation. Furthermore, the proposed scheme yields improved predictive power in the forecasting of hold-out sample periods.

• 한국유통학회지:유통연구
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• 제4권1호
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• pp.17-29
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• 1999

We investigated the consumer behavior of store choice using consumer panel data. The NBD-Dirichlet model known to be predictive of the consumer's brand choice was also found to be well fitted for the store choice behavior. Understanding the regularity in the store choice will provide both manufacturers and sistributors with the necessary guidelines for their competitive strategies.

• 한국콘텐츠학회논문지
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• 제10권5호
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• pp.210-219
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• 2010

본 연구에서는 선택모형을 이용하여 소비자패널자료를 분석함에 있어 시간의 흐름에 따라 동적(dynamic)으로 변화하는 소비자내부의 특성 차이를 반영한 특정소비자의 종적인 변화인 소비자동태성을 분석하였다. 선택모형 내에서 소비자동태성은 효용함수에 시변계수(time-varying coefficient)를 도입함으로써 표현될 수 있다. 본 연구에서는 이를 위해 계층적모형(hierarchical model)과 상태공간모형(state-space model)에 기반하여 Random-Walk 계수를 지니는 이산프로빗모형을 개발하였고, 개발된 모형을 패널자료로부터 추정하기 위하여 Gibbs 표본법을 적용하였다. 모형추정결과 효용함수의 시변계수들에 유의한 소비자동태성이 존재함을 확인할 수 있었다. 소비자동태성이 존재할 경우 이에 효과적으로 대응하기 위해서는 동적시장세분화가 필요하다고 할 수 있다.

• Animal Bioscience
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• 제36권8호
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• pp.1274-1284
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• 2023

Objective: Understanding consumer perception of meat quality in developing countries is an important issue since consumer perception of quality could be highly variable. In the current study, consumers' purchasing preferences affected by marbling and perception of quality were evaluated in a survey study. Furthermore, consumers' preferences for degree of doneness were investigated using both survey and consumer panel studies. Methods: The study was carried out in two phases. Firstly, a survey was conducted in Adana Province, Turkey to collect data related to the attributes affecting consumers' meat purchase decision and consumers' degree of doneness preferences. In the second phase, boneless ribeye was used to investigate consumers' degree of doneness preferences in a consumer panel. In addition, proximate analyses of the samples were conducted. Results: The survey study using pictures of marbling illustrations indicated that higher degrees of marbling might be considered too fatty to be purchased by consumers. Consumers' perceptions regarding the relationship between marbling and beef quality further indicated that marbling might not be acknowledged as a cue of a higher quality meat. Nevertheless, the results of the importance of some attributes related to intrinsic and extrinsic quality cues showed that consumers were looking for the cues that indicated not only quality but also safety of the meat during meat purchase. The results of both survey and consumer panel studies revealed that consumers might prefer higher degrees of doneness while consuming meat since a majority of the consumers' preference of degree of doneness was at least well done. Conclusion: This study revealed that consumer purchasing preferences might vary between countries regarding marbling and perception of quality. Furthermore, higher degrees of doneness could be the preference of these consumers. Thus, further studies are needed to increase consumer satisfaction in these countries.

• 디지털산업정보학회논문지
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• 제6권4호
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• pp.297-305
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• 2010

Employment number by areas is composed of various factors for groups and time series. In this paper, we use the panel data for finding various variables and using this, we analyzed the factors that is major influence to employment number by areas. For analysis we looked at employment number by areas, the region for analysis consist of seven groups, that is, the metropolitan city(such as Busan, Daegu, Incheon, Gwangiu, Daejeon, Ulsan.) and Seoul. Analyzing period be formed over a 63 time points(2005.01.- 2010.03). We examined the data in relation to the employment number by occupational job, unemployment rate, monthly household income, preceding business composite index, consumer price index, composite stock price index. In looking at the factors which determine employment number by areas job, evidence was produced supporting the hypothesis that there is a significant negative relationship between unemployment rate and monthly household income the consumer price index. The consumer price index and composite stock price index are significant positive relationship, preceding business composite index is positive relationship, it are not significant variables in terms of employment number by areas job.

• 한국유기농업학회지
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• 제22권4호
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• pp.611-628
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• 2014

This study probed into some characteristics of the urban household such as household income, number of the household, age distribution of the family members, their characteristics of shopping behavior such as the shopping place, types of the packaging and the characteristics of the time series, using consumer panel data of the Rural Development Administration (RDA). It further examined how the above factors affect fruit purchasing prices and then estimates the degree of the influence by each factor. The study looked at the purchase of apples, pears, tangerines, and oranges - the most favorite fruits in Korea. The results of this study can be utilized as the basic information for marketing strategies and/or for the establishment of future policy plans related to fruits consumption.

• 한국의류산업학회지
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• 제21권6호
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• pp.743-753
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• 2019

This study investigates differences in demographic characteristics, shopping orientation, perceived risk, and satisfaction after purchase among consumer types. This study classifies consumer types according to their channel transition behaviors between the online and offline channels with a focus on the steps of information research and buying decision in buying decision-making process. The four consumer groups are as follows: off-off type (offline research-offline purchase), on-on type (online research-online purchase), on-off type (online research-offline purchase) and on/off-off type (online and offline research-offline purchase), off-on type (offline research-online purchase) and on/off-on type (online and offline research-online purchase). Data were collected from adults over 20 years old who had bought clothes within one year. The questionnaire was carried out from July, 2019 using a professional internet research panel; in addition, 500 sets of useful data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. The findings showed significant differences among the classified consumer groups for consumer demographics, shopping orientation, perceived risk, and purchase after satisfaction. The results imply that consumers show a variety of channel transition behaviors based on demographic variables, shopping orientation, and perceived risk. Understanding and adapting to consumer purchase behaviors will allow company distribution channels to be effectively managed and eventually increase consumer satisfaction as well as company sales volume.

• 대한가정학회지
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• 제42권7호
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• pp.103-118
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• 2004

The purpose of this study was to investigate the discriminative factors of on-line consumer satisfaction. Data were obtained from an online questionnaire survey with 1089 online shoppers who had the experience of either purchasing or visiting a fashion on-line shopping mall from the panel of an online survey agency(www.inr.co.kr) and 1049 responses were analyzed. For analysis of data, descriptive analysis, Cronbach's ${\alpha}$, $\chi$$^2$-test, one-wav ANOVA, Ducan test and stepwise regression analysis were applied. The results of this study were as follows: Firstly as a result of differences of purchasing experience and future purchasing intention via internet, 4 consumer groups were generated: internet patronizing group, trial and unsatisfied experience group, future purchasing intention group, and internet carelessness group. Secondly each group differences was found in demographic variables such as age, marital status, income and employment status. Croup differences were also found in personal, product, and store variables except tangibility. According to consumer groups, different factors were directly impact on consumer satisfaction.