• The Journal of Society for e-Business Studies
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• v.25 no.4
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• pp.33-60
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• 2020

Along with the rapid advance in internet technologies, ubiquitous mobile device usage has enabled consumers to access real-time information and increased interaction with others through various social media. Consumers can now get information more easily when making purchase decisions, and these changes are affecting the brand landscape. In a digitally connected world, brand image is not communicated to the consumers one-sidedly. Rather, with consumers' growing influence, it is a result of co-creation where consumers have an active role in building brand image. This explains a reality where people no longer purchase products just because they know the brand or because it is a famous brand. However, there has been little discussion on the matter, and many practitioners still rely on the traditional measures of brand indicators. The goal of this research is to present the limitations of traditional definition and measurement of brand and brand image, and propose a more direct and adequate measure that reflects the nature of a connected world. Inspired by the proverb, "A man is known by the company he keeps," the proposed measurement offers insight to the position of brand (or brand image) through co-purchased product networks. This paper suggests a framework of network analysis that clusters brands of cosmetics by the frequency of other products purchased together. This is done by analyzing product networks of a brand extracted from actual purchase data on Amazon.com. This is a more direct approach, compared to past measures where consumers' intention or cognitive aspects are examined through survey. The practical implication is that our research attempts to close the gap between brand indicators and actual purchase behavior. From a theoretical standpoint, this paper extends the traditional conceptualization of brand image to a network perspective that reflects the nature of a digitally connected society.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.1-19
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• 2010

In offline environment, unlike traditional advertising model through TV, newspaper, and radio, online advertising model draws instantaneous responses from potential consumers and it is convenient to assess. This kind of characteristics of Internet advertising model has driven the growth of advertising model among various Internet business models. There are, conventionally classified, CPM (Cost Per Mile), CPC (Cost Per Click), and CPS (Cost Per Sales) models as Internet advertising expenditure model. These can be examined in manners regarding risks that stakeholders should stand and degree of responsibility. CPM model that is based on number of advertisement exposure is mechanically exposed to users but not actually recognized by users resulting in risk of wasted expenditure by advertisers without any advertising effect. While on aspect of media, CPS model that is based on conversion action is the most risky model because of the conversion action such as product purchase is determined by capability of advertisers not that of media. In this regard, while there are issue of CPM and CPS models disadvantageously affecting only one side of Internet advertising business model value network, CPC model has been evaluated as reasonable both to advertisers and media, and occupied the largest segment of Internet advertising market. However, CPC model also can cause fraudulent behavior such as click fraud because of the competition or dishonest amount of advertising expenditure. On the user aspect, unintentionally accessed advertisements can lead to more inappropriate expenditure from advertisers. In this paper, we suggest "CPCD"(Cost Per Coupon Download) model. This goes beyond simple clicking of advertisements and advertising expenditure is exerted when users download a coupon from advertisers, which is a concept in between CPC and CPS models. To achieve the purpose, we describe the scenario of advertiser perspective, processes, participants and their benefits of CPCD model. Especially, we suggest the new value in online coupon; "possibility of storage" and "complement for delivery to the target group". We also analyze the working condition for advertiser by a comparison of CPC and CPCD models through advertising expenditure simulation. The result of simulation implies that the CPCD model suits more properly to advertisers with medium-low price products rather than that of high priced goods. This denotes that since most of advertisers in CPC model are dealing with medium-low priced products, the result is very interesting. At last, we contemplate applicability of CPCD model in ubiquitous environment.

• Journal of Korean Home Economics Education Association
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• v.24 no.4
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• pp.133-144
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• 2012

The purpose of this study was to investigate Home Economics(HE) teachers' stages of concern, levels of use, and needs about the practical reasoning instruction focusing on the Concerns Based Adoption Model(CBAM). Questionnaires were administrated to HE teachers who worked for middle or high school in Korea and used HE textbooks according to the revised 2007 HE curriculum through mailing and visiting HE teacher training centers. 350 data collected from the responses were finally analyzed using SPSS 12.0. The results of the study were as follows: First, HE teachers' stages of concern about the Practical Reasoning Instruction(PRI) were demonstrated by the following order: awareness stage 0(97.05%), informational stage 1(87.06%), personal stage 2(86.23%), management stage 3(79.85%), refocusing stage 6(63.22%), consequence stage 4(61.26%), and collaboration stage 5(60.12%). Second, HE teachers' levels of use for PRI were demonstrated by the following order: preparation level 2(30.3%), orientation level 1(18.30%), refinement level 5 (18.30%), mechanical level 3: (16.0%), routine level 4(10.09%), nonuse level 0(4.0%), integration level 6(1.70%), and renewal level 7(0.60%). Third, needs for HE teachers' practical reasoning process were shown as the following order: '(O)Outline and implement a plan for action'(1.89), '(A)Analyze choices and consequences'(1.75), '(N)Note the results of your action(s)'(1.57), '(E)Evaluate information needed to solve the problem'(1.44), '(R)Recognize the problem'(1.39), and '(S)Select the best choices'(1.36).

• Management & Information Systems Review
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• v.38 no.4
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• pp.41-60
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• 2019

The purpose of this study is to investigate the effect of salesperson's adaptive selling tactics on consumers who purchase Small and Medium Enterprises' product with the help of salespeople in the store. Specifically, we examine whether salesperson's adaptive selling tactics affect consumers hedonic shopping value and utilitarian shopping value. Furthermore, we try to figure out the effect of shopping value on the salesperson relationship commitment and consumer product satisfaction. The subjects of this study have surveyed the consumers with experience in purchasing SME's products through salespeople in the Gyeongnam area. As data process, SPSS 21.0 was used as the analysis tool and AMOS 21.0 was used to analyze the structural equation model. The implications of these findings are as follows. First, the salesperson's role has a positive effect on the consumer's product satisfaction. Second, it can be suggested that the salesperson's adaptive selling tactics are an important variable affecting the consumer's shopping value. Third, the results on the consumers who have hedonic shopping value have a strong positive influence rather than the consumers who have the utilitarian shopping value. The adaptive selling tactics of the salesperson should be encouraged to increase sales performance. In order to generate more performance in a competitive market environment, it is necessary to continuously strive to increase contact between the salesperson and the consumer in order to improve the quality of the relationship.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.182-190
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• 2018

Many pharmaceutical companies operate the SFA system to support salespeople. The SFA system is used for various behaviors of salespeople. However, there is a lack of empirical analysis on the performance of SFA in Korea. The purpose of this study is to investigate the utilization of SFA system and the non - financial performance of SFA system. The subjects of the survey were 347 pharmaceutical community members who consisted of pharmaceutical salespeople and surveyed online for 18 days from March 13, 2018 to April 30, 2018. and the effective response rate was 23.1% (80/347). The analysis shows that the higher the level of SFA system utilization, the higher the non - financial performance. By type of company, the utilization level of multinational companies was higher than that of domestic companies. Among the SFA utilization level items, 1.47 points (3.65, 2.18) were higher than the domestic companies in terms of the support service items. Among the SFA performance items, foreign companies were 1.47 points (3.16, 1.69) Respectively. This suggests that the SFA development and operation method of the domestic company focuses on the management service rather than the support service for the salesperson and the customer satisfaction. Through this study, it is considered that domestic companies should strengthen sales person support and customer satisfaction information providing function when operating SFA system.

• Journal of the Korean Regional Science Association
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• v.38 no.4
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• pp.59-74
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• 2022

We aim to explore how the COVID-19 affects commercial sales of traditional market in Seoul. We obtain data for commercial sales and several spatial variables that are related to commercial sales from the Seoul Open Data Plaza. In order to estimate the effect of COVID-19 occurrence on commercial sales, we employ fixed-effect panel data analysis models. Unlike our expectation, the empirical results show that the effect of the COVID-19 on commercial sales of traditional market is not significant. However, we found that the effects are significant in some types of businesses when we did the same analyses with subsamples. For example, service sectors are mostly negatively affected by COVID-19, and retail sectors are also second mostly affected by COVID-19. However, there is no significant relationship between COVID-19 and restaurant sectors. In addition, these effects vary by size of traditional market. Our results suggest that government should have a plan to help small businesses in traditional market because they do not have sufficient abilities to adjust to the unexpected economic shock, like COVID-19. Findings also suggest that strategies for helping them should be differentiated by business type and market size.

• Journal of Music and Human Behavior
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• v.20 no.1
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• pp.99-115
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• 2023

Given the ongoing discussion regarding remote music therapy following the COVID-19 pandemic and the pivotal role of parental involvement in it, this study investigated parents' perceptions on their roles in a synchronous videoconferencing music therapy for their children with developmental disabilities. A total of 32 participants participated in an online survey comprising 68 questions. Descriptive statistics summarized the collected responses, and Pearson's correlation was conducted to examine the relationship between perceived parental roles, psychological burden, and willingness to participate in future remote music therapy. The findings showed that parents of children with developmental disabilities acknowledged the benefits of tele-music therapy and possessed substantial information about its implementation. Furthermore, they reported their roles of providing physical, participatory, and mediating support. As parents exhibited greater satisfaction with their role in supporting their children's participation or managing their off-task behaviors, they perceived reduced psychological burden. These findings hold significant implications for expansion of tele-music therapy strategies to address the unique needs of children with developmental disabilities and support their parents as immediate mediators for their children.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.85-109
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• 2018

Recommender system recommends the items expected to be purchased by a customer in the future according to his or her previous purchase behaviors. It has been served as a tool for realizing one-to-one personalization for an e-commerce service company. Traditional recommender systems, especially the recommender systems based on collaborative filtering (CF), which is the most popular recommendation algorithm in both academy and industry, are designed to generate the items list for recommendation by using 'overall rating' - a single criterion. However, it has critical limitations in understanding the customers' preferences in detail. Recently, to mitigate these limitations, some leading e-commerce companies have begun to get feedback from their customers in a form of 'multicritera ratings'. Multicriteria ratings enable the companies to understand their customers' preferences from the multidimensional viewpoints. Moreover, it is easy to handle and analyze the multidimensional ratings because they are quantitative. But, the recommendation using multicritera ratings also has limitation that it may omit detail information on a user's preference because it only considers three-to-five predetermined criteria in most cases. Under this background, this study proposes a novel hybrid recommendation system, which selectively uses the results from 'traditional CF' and 'CF using multicriteria ratings'. Our proposed system is based on the premise that some people have holistic preference scheme, whereas others have composite preference scheme. Thus, our system is designed to use traditional CF using overall rating for the users with holistic preference, and to use CF using multicriteria ratings for the users with composite preference. To validate the usefulness of the proposed system, we applied it to a real-world dataset regarding the recommendation for POI (point-of-interests). Providing personalized POI recommendation is getting more attentions as the popularity of the location-based services such as Yelp and Foursquare increases. The dataset was collected from university students via a Web-based online survey system. Using the survey system, we collected the overall ratings as well as the ratings for each criterion for 48 POIs that are located near K university in Seoul, South Korea. The criteria include 'food or taste', 'price' and 'service or mood'. As a result, we obtain 2,878 valid ratings from 112 users. Among 48 items, 38 items (80%) are used as training dataset, and the remaining 10 items (20%) are used as validation dataset. To examine the effectiveness of the proposed system (i.e. hybrid selective model), we compared its performance to the performances of two comparison models - the traditional CF and the CF with multicriteria ratings. The performances of recommender systems were evaluated by using two metrics - average MAE(mean absolute error) and precision-in-top-N. Precision-in-top-N represents the percentage of truly high overall ratings among those that the model predicted would be the N most relevant items for each user. The experimental system was developed using Microsoft Visual Basic for Applications (VBA). The experimental results showed that our proposed system (avg. MAE = 0.584) outperformed traditional CF (avg. MAE = 0.591) as well as multicriteria CF (avg. AVE = 0.608). We also found that multicriteria CF showed worse performance compared to traditional CF in our data set, which is contradictory to the results in the most previous studies. This result supports the premise of our study that people have two different types of preference schemes - holistic and composite. Besides MAE, the proposed system outperformed all the comparison models in precision-in-top-3, precision-in-top-5, and precision-in-top-7. The results from the paired samples t-test presented that our proposed system outperformed traditional CF with 10% statistical significance level, and multicriteria CF with 1% statistical significance level from the perspective of average MAE. The proposed system sheds light on how to understand and utilize user's preference schemes in recommender systems domain.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.91-121
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• 2008

Electronic commerce, commonly known as e-commerce or eCommerce, has become a major business trend in these days. The amount of trade conducted electronically has grown extraordinarily by developing the Internet technology. Most electronic commerce has being conducted between businesses to customers; therefore, the researches with respect to e-commerce are to find customer's needs, behaviors through statistical methods. However, the statistical researches, mostly based on a questionnaire, are the static researches, They can tell us the dynamic relationships between initial purchasing and repurchasing. Therefore, this study proposes dynamic research model for analyzing the cause of initial purchasing and repurchasing. This paper is based on the System-Dynamic theory, using the powerful simulation model with some restriction, The restrictions are based on the theory TAM(Technology Acceptance Model), PAM, and TPB(Theory of Planned Behavior). This article investigates not only the customer's purchasing and repurchasing behavior by passing of time but also the interactive effects to one another. This research model has six scenarios and three steps for analyzing customer behaviors. The first step is the research of purchasing situations. The second step is the research of repurchasing situations. Finally, the third step is to study the relationship between initial purchasing and repurchasing. The purpose of six scenarios is to find the customer's purchasing patterns according to the environmental changes. We set six variables in these scenarios by (1) changing the number of products; (2) changing the number of contents in on-line shopping malls; (3) having multimedia files or not in the shopping mall web sites; (4) grading on-line communities; (5) changing the qualities of products; (6) changing the customer's degree of confidence on products. First three variables are applied to study customer's purchasing behavior, and the other variables are applied to repurchasing behavior study. Through the simulation study, this paper presents some inter-relational result about customer purchasing behaviors, For example, Active community actions are not the increasing factor of purchasing but the increasing factor of word of mouth effect, Additionally. The higher products' quality, the more word of mouth effects increase. The number of products and contents on the web sites have same influence on people's buying behaviors. All simulation methods in this paper is not only display the result of each scenario but also find how to affect each other. Hence, electronic commerce firm can make more realistic marketing strategy about consumer behavior through this dynamic simulation research. Moreover, dynamic analysis method can predict the results which help the decision of marketing strategy by using the time-line graph. Consequently, this dynamic simulation analysis could be a useful research model to make firm's competitive advantage. However, this simulation model needs more further study. With respect to reality, this simulation model has some limitations. There are some missing factors which affect customer's buying behaviors in this model. The first missing factor is the customer's degree of recognition of brands. The second factor is the degree of customer satisfaction. The third factor is the power of word of mouth in the specific region. Generally, word of mouth affects significantly on a region's culture, even people's buying behaviors. The last missing factor is the user interface environment in the internet or other on-line shopping tools. In order to get more realistic result, these factors might be essential matters to make better research in the future studies.

• Child Health Nursing Research
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• v.20 no.3
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• pp.159-167
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• 2014

Purpose: The purpose of this study was to investigate factors associated with sexual debut among Korean middle school students. Methods: From the database of the Eighth Korea Youth Risk Behavior Web-based Survey (KYRBS), the researchers selected 37,297 middle school students aged 12-15 years. Data were analyzed using $x^2$ test and multiple logistic regression with the SPSS WIN 18.0 program. Results: The proportion of middle school students who had a sexual debut was 2.1% of boys and 1.5% of girls. In multiple regression analysis, economic status, experience of part time work, smoking, drug use and depression were associated with an increased proportion of sexual intercourse for both boys and girls. Living with parents, drinking alcohol and suicidal ideation were associated with sexual debut for boys only. By contrast, formal sexual education was associated with a reduced risk of sexual debut. Conclusion: The results of this study show the factors associated with sexual debut among Korean middle school students. Gender-related interventions should be taken into consideration in school sexual education programmes, because of differences in related factors according to gender.