반응-확산 모델을 이용한 연속적인 톤의 표현은 형태형성물질의 패턴 형성 방법을 이용한 기법이다. 그레이 스케일의 영상을 형태형성물질의 수학적 모델을 이용해서 이산적인 밝기를 가진 영상으로 변환할 수 있다. 이러한 방법은 영상을 점과 선의 형태로 변환할 수 있게 해주어 다양한 스타일의 영상 렌더링에 사용할 수 있다. 이는 영상의 밝기 정보가 형태형성물질로 변환되고 이를 통해 시뮬레이션을 했을 경우 예측 가능한 결과를 낸다는 가정에서 출발한다. 실제 실험에서는 대체적으로 급격히 변하지 않는 영상 신호에 대해서는 이러한 가정이 잘 들어맞기 때문에 좋은 결과를 나타내지만 영상 신호가 급격히 변화하는 부분에 대해서는 결과 영상에 문제(artifact)가 나타난다. 이는 밝기차이가 급격히 변하는 부분에서 검은 선 형태로 나타나며 이러한 부분은 원영상의 신호와 다른 결과를 낸다고 할 수 있다. 이를 해결하기 위해 본 논문에서는 반응-확산 모델에서 문제를 해결할 수 있는 방법을 도출하고 이를 적용한 새로운 계산 방법을 제시하여 문제를 해결하고자 한다. 제안된 방법에서는 밝기가 급격히 변화하는 부분을 검출하고 이러한 부분에서는 확산이 일어나지 않도록 제어함으로써 해결하였다.

To lead a movie to success, managers must understand why consumers buy tickets. Some go to the movies due to trailers or movie posters, others watch movies triggered by their friends’ recommendation. Using Bass (1969)’s terms, we may categorize the former type of consumers into innovators who are influenced by external factors such as advertisements and media reports. We may label the latter type as imitators who are affected by internal factors such as word-of-mouth (WOM). Consumers in the digital era, regardless of their motivation types, easily obtain information related to movies through webpages or social networking services. Therefore, marketers should focus on how online information influence the diffusion of products. Additionally, each country has a unique cultural background, thereby resulting in different consumer behavior. Based on the prior arguments, we expect that the US movie market would show higher innovation effect and lower imitation effect compared to the Korean movie market. Opposite to the hypothesis, there are no significant differences in the innovation effect between the two markets. However, as expected, the imitation effect of US is significantly lower than that of Korea. In both markets, the advertising level and the publicizing level do not show any significant effect on the innovation effect. However, the two variables have significant and positive effect on the market potential. As predicted, the gender and the age heterogeneity of WOM are revealed to affect the imitation effect in the hypothesized direction. Product availability, measured with the number of screens, has a positive relationship with the innovation effect in the US market and with the market potential in both markets. Lastly, seasonality shows a positive association with the imitation effect in the US market and with the market potential in the Korean market. The current research tries to explore key differences in the diffusion patterns of movies between the US and Korean markets by applying Bass diffusion model. Further, this study aims to discover the factors that bring about the innovation and the imitation effects in both markets. By employing data available online, the current study could provide practical implications on how to manage information delivered through online channels.

The size of the market for SCM information systems have globally and steadily increased. And there are businesses that obtained innovative business performance by introducing SCM information systems. However, many businesses have still undergone trial and error in the process to introduce and operate SCM. As external factors including suppliers, customers, etc. and internal factors of businesses have been analyzed to be failure factors of executing SCM information systems, the businesses that try to introduce SCM information systems need to understand possible failure factors and establish the solutions. Therefore, this study tries to verify the diffusion of SCM information systems and effects on bullwhip effects. The study is expected to suggest empirical data that people will refer to the establishment of next counterstrategies according to the lapse of the period that systems are introduced based on theoretical bases related to the diffusion of SCM information systems.

The rapid development of the internet has enlarged the scale and scope of marketing communication and supported a base for electronic word–of-mouth (e-WOM). According to Bickart and Schindler (2001), e-WOM usually includes personal experiences and opinions transmitted via the written words in virtual social networks. Studies on e-WOM in virtual communities suggest that e-WOM strongly influences attitudes and behaviors of consumers and thus importance of e-WOM is growing in marketing communication and advertising. Accordingly, a lot of researchers have investigated to identify factors influencing e-WOM activity. Noticeably, characteristics of e-WOM receivers (e.g. Awad & Ragowsky, 2008; Godes & Mayzlin, 2004) and usage experiences of e-WOM in Social Network Service (SNS) (e.g. Flanagin & Metzer, 2000; Johnson, Kaye, Bicard, & Wong, 2008) have been frequently examined. These factors are expected to contribute to a research model in the current research. Based on previous studies, this research investigates factors which have a positive impact on diffusion of e-WOM information. Specifically, three characteristics of e-WOM receivers are suggested as antecedents: perception of instrumentality of e-WOM, perception of usefulness of e-WOM, and perception of trust in e-WOM. In addition, a moderating variable is proposed: usage experiences of e-WOM. A Structured questionnaire is designed to measure the proposed factors and diffusion of e-WOM information with a five-point Likert scale. An online survey is used to collect responses of consumers who have experienced e-WOM information on a certain goods or services in SNS within the last three months. 358 usable responses are used for statistical analyses to examine the proposed research model. This study will contribute to the e-WOM research field where there is little published work to identify characteristics of e-WOM receivers and their effects on diffusion of e-WOM information, suggest the model of information processing of e-WOM, and consider both roles of e-WOM receivers and senders of consumers. It may also provide managerial implications to devise a better marketing communication strategy by harnessing e-WOM and encouraging influential individuals as considerable promoters to shape the scope of advertising and e-WOM processes.

이 논문은 과거의 산업 포트폴리오 수익률이 어떻게 확률추세(stochastic trend)로부터 전체 주식시장과 두 가지 거시경제 변수(경기동행지수와 산업생산)들을 예측할 수 있는 지를 알아보는 데에 초점을 두고 있다. 먼저, 산업들의 포트폴리오 수익률과 전체 주식시장 수익률이 VAR모형을 토대로 볼 경우 Granger 인과관계를 갖고 있는지를 살펴보았다. 이 분석의 결과에서 건설, 금속, 무역, 반도체, 보험, 비금속광물, 서비스, 섬유, 식료, 운수/창고, 유통, 의류, 자동차부풀, 전기전자, 정유, 조선, 종이/목재, 증권, 컴퓨터, 통신, 화학 등 21개 업종은 각 산업별 포트폴리오 수익률이 전체 주식시장 수익률을 수준에서 통계적으로 유의한 영향을 주고 있음을 알 수 있었다. 이들 21개의 산업별 포트폴리오 수익률은 경제적으로도 중요한 의미를 지니고 있다. 즉, 당월(t)의 비금속광물과 정유, 금속 포트폴리오 수익률 등은 다음 월(t+1)의 전체 주식시장 수익률과 음(-)의 상관관계를 갖고 있는 것을 알 수 있었다. 이는 역사적인 데이터를 살펴볼 때, 이들 산업 제품의 가격의 상승은 향후 경제에 악영향을 주기 때문인 것이다. 반면에, 의류 및 무역 등의 경우에는 반대로 이들 산업들의 포트폴리오 수익률이 전체 주식시장 수익률과 양의 상관관계를 나타내 이들 산업들에 있어서 높은 수익률은 향후 경제가 상승국면이 예상됨을 나타내어 주고 있다. 이와 같은 산업별 포트폴리오 수익률과 거시경제변수 간의 높은 상관관계를 토대로 하여 전체 주식시장 수익률 예측을 가능하게 하는 업종 정보(sector information)의 점진적 확산(slow diffusion) 현상이 발생하게 되는 것이다.

Purpose - The purpose of this study is to investigate the relationship among narcissism, usage motives, usage behaviors, satisfaction with and continuance intention to use fashion social media. Research design, data, methodology – A questionnaire survey was used to collect data after conducting a pilot test. Based on the reliability test of the preliminary questionnaire used for the pilot test, the questionnaire was revised. The final questionnaires were administered to 238 fashion social media users and 216 were used for the data analysis. To assess the validity of these measures, exploratory factor analysis and the confirmatory factor analysis were performed. Structural equation modeling analysis were employed for data analysis. Results - Five factors of the usage motivation of fashion social media were extracted: information-seeking, relationshipseeking, practicality-seeking, enjoyment-seeking and self-expression motives. The statistical analysis confirmed the influence of the narcissism tendency on all of the usage motives of fashion social media, three of the fashion social media usage motives influencing information diffusion behavior, and the influence of the information diffusion behavior on users' satisfaction and continuance intention to use fashion social media. Narcissism exerted the highest influences on self-expression motive followed by information-seeking, enjoyment-seeking, relationship-seeking and practicality-seeking motives in order. Factors affecting fashion information diffusion behaviors are practicality-seeking motive, self-expression motive, and relationship-seeking motive. The greater the diffusion of information, the higher the satisfaction with using fashion social media. The consumers with higher satisfaction intended to use fashion social media and share information more frequently. Conclusions - The results indicate that narcissism is an important factor in fashion social media usage motivation. The main motives for narcissistic people to spread information is for the practical purpose at the most, and then to express their personality and style, and to build relationship with others. The satisfaction through active information sharing behaviors seems to play a key role to lead high continuance intention of fashion social media. These implies that marketing strategies to satisfy consumers’ narcissism and motives to use social media, and to stimulate the information diffusion behaviors can be used to meet their needs for higher satisfaction with fashion social media.