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이동일(Dong Il Lee),김현교(Hyun Gyo Kim) 한국경영과학회 2013 한국경영과학회지 Vol.38 No.1
Keyword advertising has been used as a promotion tool rather than the advertising itself to online retailers. This is because the online retailer expects the direct sales increase when they deploy the keyword sponsorship. In practice, many online sellers rely on keyword advertising to promote their sales in short term with limited budget. Most of the previous researches use direct revenue factors as dependent variables such as CTR (click through rate) and CVI (conversion per impression) in their researches on the keyword advertising(14, 16, 22, 25, 31, 32]. Previous studies were, however, conducted in the context of aggregate-level due to the limitations on the data availability. These researches cannot evaluate the performance of keyword advertising in the individual level. To overcome these limitations, our research focuses on conversion of keyword advertising in individual-level. Also, we consider manageable factors as independent variables in terms of online retailers (the costs of keyword by implementation methods and meanings of keyword). In our study we developed the keyword advertising conversion model in the individual-level. With our model, we can make some theoretical findings and managerial implications. Practically, in the case of a fixed cost plan, an increase of the number of clicks is revealed as an effective way. However, higher average CPC is not significantly effective in increasing probability of purchase conversion. When this type (fixed cost plan) of implementation could not generate a lot of clicks, it cannot significantly increase the probability of purchase choice. Theoretically, we consider the promotional attributes which influence consumer purchase behavior and conduct individuals-level research based on the actual data. Limitations and future direction of the study are discussed.
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연구논문 : 생활환경 요소가 아파트가격에 미치는 영향 및 환경정책적 시사점: 서울 소재 6개 아파트단지를 사례로
이동일 ( Dong Il Lee ),이경진 ( Kyoung Jin Lee ),송명규 ( Myung Gyu Song ) 한국환경정책학회 2010 환경정책 Vol.18 No.3
This study investigates the effect of living environmental factors on apartment price. The factors studied include the floor, the sunlight received, the exposure to noise, the view commanding, and the vulnerability to violation of residents` privacy of an apartment. The sample studied is one thousand and two hundred dwellings belonging to six apartment complexes in Seoul. The facts found through fourteen log-log multiple regression models are summed up as follows; First, generally, apartment price comes under the influence of its locational features before everything, but in the same complex it is more affected by the living environmental factors and the height than any other factors. Second, between the living environmental factors and the height, the influence of the latter is even more powerful than the former. Third, it is confirmed that the sunlight received and the higher rate of sky in the whole view from an apartment have a positive effect on apartment price, and, on the contrary, the exposure to noise and the vulnerability to violation of residents` privacy, and the higher rate of complex inside in the whole view have a negative effect.
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소비자 집단 인터뷰에서 의미 네트워크 응집 구조의 이해
이동일 ( Dong Il Lee ),이혜준 ( Hye Jun Lee ) 한국소비자학회 2012 소비자학연구 Vol.23 No.2
Researchers have performed the qualitative studies utilizing consumer group interviews to reveal consumers`s responses in depth. In general, most of the qualitative studies have analyzed by researchers` examination every aspect of participants` opinions and interpretation of the distinctive responses. There is concern in this approach that the results may have validity issues, because it is difficult for researcher to keep objective viewpoint. Some studies suggest an alternative methodology like content analysis and LIWC, but these approaches still remain unsolved subjectivity issues. First, content analysis has some disadvantages. Coders encode the qualitative data so the researcher could analyze in the further analysis in a rather quantitative ways. But it is possible that the encoded data may contain the coders` subjectivity according to the coders` understanding of coding schemes. And sometimes the coding scheme implies the researcher`s hypothesis implicitly. Second, LIWC is a kind of text analysis software program which is designed to calculate the degree people use different categories of words across a wide array of texts. It categorizes about 3,000 words into 72 categories. LIWC helps researchers understand the qualitative data more objectively in some degree. Nevertheless it has limit to interpret the words beyond the pre-defined ones designated in the categories. This research proposes a semantic network analysis as an alternative method for the existing qualitative methodologies. The purpose of network analysis is to investigate the relation between linked nodes. If it is applied to the relationship between shared meanings in linguistic communications, then it represents semantic network. In this case, a word becomes a node and a cooccurrance of two words in a sentence becomes a link. Linked nodes are the basic element of semantic network. Semantic network analysis uses words which are included in a qualitative data, and does not exclude any of them by the subjective judgement basis. Thus it can overcome validity issues previously associated with content analysis and LIWC. Semantic network analysis is relatively less likely to be reflected the subjective viewpoint of the researcher and gives us a chance to find out inherent contents structure of qualitative data. Semantic network analysis produces several network indexes which reflect the characteristics of network or node of interest such as density and degree centrality. Network density is calculated the number of connected links in a network compared to the number of possible links. High density implies that people are very interested in the topic in the qualitative data, because very dense network is resulted from highly related topics and keywords in the context of the semantic network. Degree centrality is the number of nodes directly connected to an individual node. A word with a high degree centrality is able to activate many other words, thus it functions as a keyword within the semantic cluster. In this study, we try to make the theoretical background of semantic network analysis base on the existing theories of cognitive linguistics, cognitive psychology, and sociolinguistics. A word which conveys a concept in individual cognitive structure is represented as a node in a semantic network analysis, and researchers may interpret the relation between linked words. One semantic network is composed of several subnetworks which imply the cohesive group of similar concepts within cognitive structure. Moreover language has common meaning between individuals who are belonging to the same social groups through interaction of group members. Therefore we can interpret the subnetwork of semantic network in the group interview as the clique of words which are about one topic. As a result, we can understand the entire semantic network contents structure through interpreting subnetworks. Subnetwork also can be represented by the indices such as density and degree centrality. The process of semantic network analysis is as follows. First, meaningful keywords are extracted from an entire qualitative data. Second, cooccurrance frequency of keywords within one sentence is calculated. Finally, the network analysis is performed, then subnetwork and the network indexes of each subnetwork like density and degree centrality are extracted. The exemplary analysis is shown using consumer group interview data regarding the internet shopping values. The managerial implication and the future research directions are discussed.
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