한국형아유르베다 성격유형과 의류 구매만족과 어떤 관계가 있는지를 분석함으로써 성격특성을 고려한 마케팅 전략에 대해 논의하는 것이다. 본 연구의 자료는 수도권 여성 20대 이상을 대상으로 다음과 같은 통계 분석을 실시하였다. 첫째, 조사대상자의 일반적 특성을 파악하기 위해 빈 도분석을 실시하였고, 둘째, 측정도구의 타당성 분석을 위해 탐색적 요인 분석을 실시하였다. 또한 Cronbach's α 계수를 이용하여 요인을 구성 하는 항목들의 신뢰도를 분석하였다. 셋째, 한국형 아유르베다 기본심리 유형에 대해 알아보고, 조사대상자의 일반적 특성에 따라 차이가 있는지 파악하기 위해 교차분석을 실시하였다. 넷째, 한국형 아유르베다 기본심 리유형에 따라 고객만족에 차이가 있는지를 알아보기 위하여 일원변량분 석(one-way ANOVA) 및 Scheffe의 사후검정을 실시하였다. 본 연구는 한국형아유르베다 기본심리유형과 고객만족의 관계에서는, 전반적인 고 객만족과 하위요인별 서비스만족에 있어서도 카파형(K)이 상대적으로 높 은 것을 알 수 있었지만, 품질만족에 있어서는 통계적으로 유의미한 차 이가 나타나지 않았다는 것을 알 수 있었다.

The purpose of this paper is to understand how customer relationship termination (i.e., preparation and process), alone or in combination with customer involvement, contributes to the new product development outcome. While termination preparation has a synergistic effect with customer involvement, the termination process has a trade-off relationship with customer involvement.

This study is to identify the maintenance service quality of eco-friendly cars, which are rapidly increasing recently. Research is conducted by synthesizing research from the perspectives of internal employees and external customers by using the service profit chain model. Specifically, it is to study the overall structural relationship between internal customer satisfaction, physical quality, interaction quality, outcome quality, external customer satisfaction and long-term orientation. For the study, 202 questionnaires were collected from internal employees and 204 questionnaires from external customers. The results of testing the research hypotheses targeting the internal employee group are as follows. As a result of testing hypothesis 1, internal customer satisfaction has a significant positive (+) effect on physical quality and interaction quality. As a result of testing hypothesis 2, the service quality of eco-friendly car maintenance has a significant positive (+) effect on each other. As a result of testing hypothesis 3, physical quality and outcome quality have a significant positive (+) effect on external customer satisfaction. The results of testing the research hypotheses targeting an external customer group are as follows. As a result of testing hypothesis 2, in the relationship between eco-friendly car maintenance service quality, physical quality has a significant positive (+) effect on interaction quality, and interaction quality has a significant positive (+) effect on outcome quality. As a result of testing hypothesis 3, interaction quality and outcome quality have a significant positive (+) effect on external customer satisfaction. As a result of testing Hypothesis 4, external customer satisfaction has a significant positive (+) effect only on intention to reuse. Finally, as a result of examining the difference in perception between the internal employee group and the external customer group in eco-friendly car maintenance service quality and external customer satisfaction, it was verified that there was a significant difference only in outcome quality and external customer satisfaction.

본 연구는 노인장기요양기관의 윤리경영, 직무착근도, 고객지향성, 조직문화와의 관계 를 규명하되, 요양보호사의 윤리경영, 직무착근도, 고객지향성, 조직문화의 수준은 어느 정도인지를 파악하고, 이들 간의 관계를 조직문화가 매개하는지 검증하는데 목적이 있다. 이를 위해 본 연구에서는 충청지역에 소재하고 있는 노인장기요양기관의 요양보호사 626명의 설문을 실시하였는데 본 연구의 주요결과는 요양보호사가 인식하고 있는 윤리 경영 수준은 5점 척도 기준에서 평균 3.760, 조직문화 수준은 평균 3.501점으로 나타났는 데 관계문화가 가장 높고 위계문화가 가장 낮게 나왔다. 직무착근도 수준은 평균 3.524 를 보여주었고, 고객지향성 수준은 3.79로 나타났다. 윤리경영이 조직문화, 직무착근도, 고객지향성에 직접적으로 정적 영향을 미치는 것으 로 나타났고, 조직문화가 직무착근도에 직접적인 영향을 미칠 뿐만 아니라 고객지향성에 도 영향을 미치며, 윤리경영은 조직문화에 영향을 미치으로 윤리경영이 직무착근도에까 지 영향을 미치는 것을 알 수 있었다. . 한계점과 후속연구를 제언하자면 첫째, 노인장기요양기관의 특성에 맞는 윤리경영 측 정도구가 개발될 필요가 있다. 둘째, 다양한 지역의 요양보호사를 대상으로 본 연구와 유 사한 연구가 진행된다면 노인장기요양기관의 조직 윤리경영과 조직문화 수립 기여에 기 반이 될 것이라 판단된다. 셋째, 조직문화유형인 Quinn과 McGrath(1985)의 4가지 유형인 관계문화, 합리문화, 위계문화, 개발문화를 고찰하였다. Quinn과 McGrath(1985)의 4가지 문화유형만 연구한 것은 아쉬운 측면인데 본 연구 역시 마찬가지의 한계를 가지고 있다 고 하겠다. 넷째, 본 연구는 한 번의 설문을 수집하여 횡단적인 연구만 실시되어 변인들 간의 관계가 왜곡 될 수 있는 가능성을 가지는 한계가 있다.

This research seeks to unveil how YouTube influencers and digital interaction can contribute to the process of customer-brand relationship and engagement. Based on in-depth interviews of female Youtubers devoted to the lifestyle categories, we aim to comprehend the engagement factors that influencers should rely on to promote engagement between their followers and the brands they advocate.

This research contributes to the sales literature by relating salespeoples’ facial expressiveness (captured by a face reader), to customer responses. Customers impressions are measured in real-time by means of a program analyzer. Results of an experimental study indicate differences in customers’ reactions according to sale peoples’ facial expressiveness.

본 연구는 스쿠버다이빙의 교육 서비스품질과 고객만족 및 재구매의사의 관계를 연구하는데 그 목적이 있다. 서울 소재의 스쿠버다이빙장의 스쿠버를 모집단으로 선정하고 비확률 표본추출법 중 편의추출법(conven-ience sampling)을 사용하여 총 200부의 설문지를 배포하였다. 이 중 불성실하게 응답되어졌 다고 판단한 46부의 설문지를 제외하고 총 154부의 자료를 유효표본으로 사용하였다. 자료처리방법은 SPSS18.0 프로그램을 사용하여 빈도분석, 탐색적 요인분석, 상관관계 및 다중회귀분석을 실시하였다. 본 연구결과는 다음과 같다. 첫째, 교육 서비스품질과 고객만족의 관계를 분석한 결과 교육 서비스품질 중 시설(β=.349), 프로그램(β=.340)이 만족에 영향을 미치는 것으로 나타났다. 또한 교육 서비스품질에 대한 고객만족의 설명력을 살펴보면, 교육 서비스품질의 전체 변량 중 약 47%의 설명력을 갖는 것으로 나타났다. 둘째, 교육 서비스품질과 재구매의 관계를 분석한 결과 교육 서비스품질 중 비용(β=.215), 프로그램 (β=.442)이 재구매에 영향을 미치는 것으로 나타났다. 또한 교육 서비스품질에 대한 재구매의 설명력을 살펴보면, 교육 서비스품질의 전체 변량 중 약 53%의 설명력을 갖는 것으로 나타났다. 셋째, 고객만족과 재구매의 관계를 분석한 결과 만족(β=.555)은 재구매에 영향을 미치는 것으로 나타났다. 또한 만족에 대한 재구매의 설명력을 살펴보면, 전체 변량 중 약 55%의 설명력을 갖는 것으로 나타났다.

본 연구는 어린이수영장의 서비스품질과 만족 및 고객충성도 관계를 알아보자 한다. 모집단은 총 300명을 표본대상으로 설문지를 배포하였으며, 회수된 설문지 중 불성실하게 응답했다고 판단된 3부의 설문지는 제외하여 총 297부의 설문지를 자료 분석에 사용하였다. 이 연구에서는 PASW 21.0을 활용하여 빈도분석, 신뢰도 분석, 탐색적 요인분석, 상관관계분석, 다중회귀분석, 단순회귀분석을 실시하였다. 이 연구에서는 모든 통계치의 유의수준을 .05로 설정하여 다음과 같은 결론을 도출 하였다. 첫째, 어린이수영장 서비스품질의 시설, 프로그램, 비용, 인적자원, 신뢰는 만족에 영향을 미치는 것으로 나타났다. 둘째, 어린 이수영장 서비스품질의 비용, 인적아원, 신뢰는 고객충성도에 영향을 미치는 것으로 나타났다. 셋째, 어린 이수영장 서비스품질에 대한 만족은 고객충성도에 영향을 미치는 것으로 나타났다.

This research investigates the effect of digital advertising on the customer-brand relationship, looking at the mediating role of privacy risk perceptions on consumers’ purchase intentions. Through an online experiment, authors show how the source of the customized promotion via e-mail (known source vs. unknown source) has implications on privacy risk perceptions which in turn influence purchase intentions. Theoretical and managerial implications are discussed.

As information technology advances, the penetration of smart devices connected to the Internet, such as smart phone and tablet PC, has rapidly expanded, and as sensor prices have fallen the Internet of Things has begun to be introduced in the industry. Today's industry is rapidly changing and evolving, requiring companies to respond to the new paradigm of business. In this situation, companies need to actively manage and maintain customer relationships in order to acquire loyal customers who bring them a high return. The purpose of this study is to suggest a method to manage customer relationship using real time IoT data including IoT product usage data, customer characteristics and transaction data. This study proposes a method of segmenting customers through RFM analysis and transition index analysis. In addition, a real-time monitoring through control charts is used to identify abnormalities in product use and suggest ways of differentiating marketing for each group. In the study, 44 samples were classified as 9 churn customers, 10 potential customers, and 25 active customers. This study suggested ways to induce active customers by providing after-sales benefit for product reuse to a group of churn customers and to promote the advantages or necessity of using the product by setting the goal of increasing the frequency of use to a group of potential customers. Finally, since the active customer group is a loyal customer, this study proposed an one-on-one marketing to improve product satisfaction.

Researchers have yet to investigate whether it is beneficial for exporters to engage in greater levels of product adaptation in their export operations, or whether there is some limit to the amount of adaptation exporters should engage in. We posit that customer value creation, a central marketing concept and a mechanism to achieving market and financial goals in business to business markets, is a core outcome of export product adaptation activities. In order to explore the routes by which adaptation may shape export customer value creation, we adopt a multi-faceted conceptualization of firm-level product adaptation, comprising export product adaptation (i) quantity, (ii) intensity and (iii) novelty. Drawing on survey data from 249 Finnish exporters involved in business-to-business activities, we find evidence to support the claim that the impact of export product adaptation on export customer value creation is contingent on various factors, and we identify instances where greater adaptation is beneficial for export customer value creation, and instances where greater export product adaptation is potentially harmful for export customer value creation.

The channel transformation to omni-channel is currently in progress in the retail industry. For the progress to occur, facilitating meaningful experiences of customers in their customer journeys, capturing such experiences through various channels and touch points, and then analyzing the information acquired as big data are required (Lemon and Verhoef, 2016). With the increase in the number of customer experiences being observed through the internet and mobile communication, the focus is now on engagement. However, there have not yet been many studies conducted to deliberate comprehensively on how the engagements of behavioral aspects captured through various channels and the evaluation indicators of customers, as represented by the RFM or LTV, are related in a broader sense. The purpose of this research is to clarify the relational structure from a comprehensive perspective that are not constrained by monetary amounts. This paper showed results using data from the retailer. This research is divided broadly into two stages. The first stage identifies the engagements of behavioral aspects and the relationship between the respective behaviors, as well as the typification of behavioral patterns. The second stage involves clarifying the relationship between the customer’s evaluation indicators and engagement behaviors. The engagement behaviors are basically correlated with RFM, however authors found that there is no relationship between specific engagement behavior and RFM in the group of low rank customers. On the other hand, using different types of services or shops from the core business strengthens the customer relationship. Finally, the relationship between the types of engagement behaviors and the respective customer evaluation indicators is presented in the conclusion.

The relationship of parasocial Interaction is one of the important contents of marketing research in recent years. With the rise of internet economy in the world, more and more enterprises' marketing practices are involved in the marketing process of SNS based on social networks. The interaction between medium and audiences has broken through the non-face-to-face one-way communication mode and forms a twoway communication mode of the relationship of parasocial Interaction in the SNS environment. Based on the signaling theory and the social exchange theory, this dissertation clarifies the driving factors and mechanism between Fashion web celebrity and attributes and relationship of parasocial interaction through the literature review, In the South China, Middle and North China, there were N audiences who used SNS experience as survey target to conduct a survey. And analyzed these data with SEM software. The research found that between Fashion web Fashion web celebrity and attributes and SNS participation motivation show a positive correlation with relationship of parasocial interaction, and there is a positive correlation between relationship of parasocial interaction and identification, relationship of parasocial interaction and identification have positive correlation with customer equity. E-WOM on customer asset-driven process has a clear intermediary role in the relationship of parasocial Interaction. This not only enriches and develops the existing research results of relationship of parasocial Interaction, but also provides guidance for enterprises to manage relationship of parasocial interactions. In addition, it also provides valuable theoretical guidance for enterprises to promote SNS marketing management practices.

This study applies optimization-based algorithm to develop combination classification methods. We propose a genetic algorithm-based combination classification method of multiple decision trees to improve predictive accuracy, optimize classification rules, and interpret classification results. The basic algorithm for decision tree has been constructed in a top-down recursive divide-and-conquer manner. Based on different split measures (attribute selection measures), different decision tree algorithms can be produced, and then multiple decision trees can be formed. We proposed the parallel combination model of multiple decision trees. On top of the combination model, multiple decision trees are parallel combined. Each decision tree produces its own classification rules according to training samples from which one can present the classification result using probability distribution of target class label. At the bottom, the classification result of each decision tree serves as the input for combination algorithm in producing classification result and rules for the combination model. Combination algorithm adopts weighted summation of the outputs of probability measurement levels from individual decision trees, while genetic algorithm optimizes connection weight matrix. Finally the target class label with the largest probability output value is selected as the decision result for combination classification methods. The proposed method is applied to the issues of customer credit rating assessment and customer response behaviour pattern recognition in CRM. From the simulation results it is concluded that the proposed method has higher predictive accuracy than single decision tree. Moreover, it retains good interpretability and optimizes classification rules.

Since 2008 to 2014 the operating margins of Chinese traditional retail industry went a sustained downward. Instead, the operating margins of online-store have been the sudden explosion. In this case which online-store sale the same products with traditional market, my research try to find out how to improve the state of traditional market since 92.5% practitioners of retail industry are doing their business in traditional market. Customer equity can estimate customer lifetime value for the company (Rust et al, 2004). The firm can make proper marketing strategy with customer equity. Customer equity can both satisfy consumers and make a profit for the company (Lemon et al., 2001).So we built a model to connect service quality and customer equity to study how to prove the competitive power of traditional market. In this paper we used customer satisfaction and brand attitude as mediating variables since Store brands have become an important contributor to retail differentiation and basis for building store loyalty (Dodd and Lindley, 2003) and in retail market customer equity varies with customer satisfaction( Pappu and Quester 2006). Considering that Chinese economic growth rate was slowing down, traditional market is being a priority for Chinese Government to relieve severe export pressure and employment pressure. In this research we would like to study the relationships among service quality, customer satisfaction and brand attitude and how they influence customer equity in traditional markets. For this purpose we built a model which composed by service quality, satisfaction brand attitude and customer equity and tested it. The survey was collected from traditional markets in China and South Korea and the data was analyzed by AMOS and SPSS.

The purpose of this study is to investigate the interrelationships among customer perceived value, customer satisfaction, and switching costs as antecedents of customer loyalty in business-to-business (B2B) contexts. Customer loyalty influences firms’ performance as a key source of competitive advantage. Customer loyalty is essential in B2B contexts, although many studies of customer loyalty have focused on the business-to-consumer (B2C) context. Recently, the use of robotics in the industrial marketing environment has become increasingly prevalent. Given the prevalence of robotics in B2B contexts and the importance of customer loyalty, this study investigates the impacts of robotics in industrial marketing relationships, customer perceived value, customer satisfaction, and switching costs on enhancing customer loyalty.

The marketing scholars and practitioners start to consider a new concept, which pay attention to the government policies and company methods would cause a deep influence to develop a sustainable marketing. Because of the customer equity take a more and more importance place in consumer research, companies have become aware of the importance of sustainability, but customers may not realize the significance of this factor. When companies cannot obtain the feedback from the customers, they can not meet the needs as well. Nevertheless, researchers have attempted to determine whether sustainable marketing customer equity, both in positive and negative ways. Using algorithms of configurations of antecedent condition s to refine the shortcomings of symmetric variable hypotheses (McClelland, 1998; Woodside, 2015). Sustainable marketing includes environmental, economic, and social dimensions, in addition to the ethical management dimensions that guide sustainable marketing strategies through CSR (Lii et al., 2013).The environmental dimension requires to build a eco-friendly image, the economic dimension requires to achieve short- and long-term economic goals(bansal 2005); The social dimension requires that companies enhance social and human wellbeing (Kim et al, 2015; Sun et al., 2016). When marketing research has turned to customer lifetime value (CLV) (Rust et al.,2004), they find the future profit is value equity, brand equity, and relation equity has been accepted by most researchers as major drivers. This study bases on models of which factors can influence value of customers and which are not. Structural equation modeling (SEM) has been used to show that sustainable marketing has positive effects on customer equity drivers (Sun, Garrett, & Kim, 2016). However, it has shortage in most empirical behavioral science and business research, in order to lessen influence of the method limitation; a subset of qualitative comparative analysis called faQCA is applied to study. This study make a general conclusion that in the cross-culture, customers can not accept companies lose anyone dimension, even though they perform at normal level in others. Nevertheless if a company achieve a high goal in one dimension, it is also can be admitted by consumers. This research adapts two different countries as the sample to define their value and motivations. And the Adidas as the sample brand to be used in the study. Using the fuzzyset Qualitative Comparative Analysis (fsQCA) attempts to find a new point to explain configural antecedents, to verify the finding and to overcome the shortages. The result of this study is aimed to find the way to narrow the gap between companies, customers and sustainable concepts.