During the last decades more and more consumers worldwide, started integrating environmental considerations into daily purchases what leads the so-called ‘green consumer’ to ask for healthier, safer, and better quality food. Nonetheless, a deeper understanding of value dimensions consumers across nations perceive in the context of organic food products is still required to develop successful management strategies which might transfer positive consumer perceptions to satisfaction and resulting buying behavior. Against this backdrop, the present study focuses on a) the antecedents leading to the consumption of organic food products and b) the identification of differences regarding the relative importance of the value-based drivers across US and German consumers

Customers are regarded as the key intangible assets of a company. It is necessary to have the capability to anticipate customer value. The study discusses the relationship among customer value anticipation, product innovativeness, and customer lifetime value from customer perspective. 178 MBA students were surveyed by questionnaire in this study. The results show that customer perceived customer value anticipation can significantly influence product innovativeness. Product innovativeness not only positively affects customer lifetime value, but also plays a partial mediating role between customer value anticipation and customer lifetime value. Both functional and emotional advertising can play a moderating role on the relationship between product innovativeness and customer lifetime value. At the end, managerial implications are discussed.

Impacts of Relationship value on Loyalty of Online Group-Buying Customer in China With the development of e-commerce industry, online group-buying pattern has been one of the most popular online shopping patterns in China. Although the online group-buying platform has a large number of consumers, the consumer loyalty to specific online group-buying platform is low. For this phenomenon, scholars usually studied from the perspective of factors which influenced consumer behavior intentions. However, few studies focus on the component and measuring of relational benefits in the process of group-buying. Based on the perspective of consumers, this paper studied the relational benefits between consumers and online group-buying platform, and the perceived benefits of consumers who are in different relationship life cycle.This paper used SPSS to test the reliability and validity of data and carried some discussions about research model through factor analysis and regression analysis. The results indicated that relational benefits were significantly related to customer loyalty, that relationship quality and relationship life cycle was considered as mediator and moderator, respectively. Further, we made some management recommendations for operators in the online group-buying platform.

Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

The purpose of this study was to investigate the effects of perceived price and servicescape on employee service quality, food and beverage quality, and customer value in Daegu Korean restaurants and to suggest methods for them to become the food mecca of Korea and the world. The samples for this study were customers of nine Korean restaurants in Daegu. A total of 368 questionnaires were analyzed with factor analysis, a reliability test, and a covariance structural analysis. The results showed that perceived price was positively related to employee service quality and food and beverage quality and that servicescape was positively related to employee service quality and food and beverage quality. However perceived price, servicescape, employee service quality, and food and beverage quality were not related to customer value. The reasons were that these factors did not influence perceived customer value in Daegu Korean restaurants. The Daegu municipal office should require these restaurants to develop distinguished employee service and food and beverage quality and conduct consistent marketing to Koreans and westerners, so that these restaurants can become the food mecca of Korea and the world.

The purpose of this study was to investigate the effects of servicescapes in Korean restaurants on customers' experiential value, pleasure feeling and customer satisfaction. Based on a total of 550 samples obtained from empirical research, this study reviewed the reliability and fitness of research model using the Amos program. The relationships hypothesized in the model were tested simultaneously by using a structural equation model (SEM). The proposed model provided an adequate fit to the data, χ2=406.097 (df 130), p〈.001, GFI .915, AGFI .889, RMR .042, NFI .955, CFI .969, RMSEA .062. SEM results showed that the servicescape showed a positive significant effect on customers' experiential value (β=.808, t=15.171, p〈.001), and customers' experiential value had a positive significant effect on pleasure feeling (β=.756, t=10.616, p〈.001). Also, customer's experiential value (β=.391, t=8.579, p〈.001) and pleasure feeling (β=.573, t=13.091, p〈.001) had a positive significant effects on customer satisfaction. Analysis of mediating roles showed that, the effect of servicescapes in Korean restaurants on customers' pleasure feeling was perfectly mediated by the customers' experiential value. Limitations of this study and future research directions are also discussed.

Today's environment of enterprise is changing. They have to face customer' demands with the right product, the right service and supply them at the right time. And also cut down logistics and inventory cost and bring up the profit as much as they can. This means the change of putting enterprise first in importance to putting customer first importance. therefore to correspond to customer's demand, shorting lead time is becoming a essential condition. The answer to this changes of environment is supply chain management. In this paper, It consolidates the necessity on a LTV(Life Time Value) and analyzes data which is concerned of Customer Value. Under the these environments, defines the LTV(Life Time Value) rule that can improve the customer value.

공급망상에서 ATP는 단순히 고객에게 납기를 확약해 주는 고객 서비스 기능이 아니다. 이것은 공급 망상에서 ATP Rule을 기반으로 하여 수요와 공급 일치에 도달하기 위한 핵심 기능이다 따라서 SCM Solution을 이용하여 공급 체인 전반에 걸쳐 제품 가용성에 대한 즉시 및 동시 엑세스를 관리하여 기업의 납기 일의 정확도에 대한 최고의 확신을 가져올 수 있으며, SCM Solution을 통해 주문이나 예측 수주로 인하여 새로운 수요가 제품 가용성에 미칠 영향을 결정할 수 있다. 본 논문에서는 공급체인 전체의 통합관리 솔루션을 통하여 SCM에 대한 필요성을 정리하고 ATP관련 데이터를 분석을 수행한다. 이 것을 바탕으로 고객관계 관리( Customer Relationship Management)와 연계하여 세부데이터의 흐름 및 고객 가치를 향상 할 수 있는 ATP Rule을 정의한 후, 본 논문에서는 공급망상에 ATP Rule을 적용하여 ATP관련 데이터를 유연성 있게 취합할 수 있는 방안과 분류체계를 제시한 다단계 ATP모형을 제시 한다.

This research investigates the relationship among product quality, service quality, perceived value, customer satisfaction, and behavior intentions. Validated measurements were identified from a literature review. The measurement model and the conceptual model depicting hypothesized relationships were evaluated based on responses from 220 customers using confirmatory factor analysis and structural equation modeling. The testing results show that, for the direct path, product quality has a significant, positive influence on customer satisfaction, and behavioral intentions. Also, perceived value directly influences customer satisfaction and behavioral intentions and satisfaction is an antecedent of behavioral intentions. For the indirect path, service quality has a significant, positive influence on behavioral intentions through the customer satisfaction. The major finding of this study suggest that service quality easily attract more customers, especially the young consumers. About the sale personnel, communication skills, knowledge and ways of treatment to customers are crucial to retailers to gain competitive advantage over competitors. Therefore, it should have clear and consistent processes, procedures with criteria that create the best condition for organization and individual to open this kind of retailing store. Furthermore, product quality improvement is essential; all products must have clear originality; and diversifying products and services is also the way to appeal more consumers.

Purpose - The purpose of this study was to investigate the effects of the chatbot's characteristics (ease of use, social presence, playfulness, usefulness) on service value, customer satisfaction and reuse intention when consumers purchased fashion products in the mobile shopping environments. Research design, data, and methodology – Data were collected from Korean consumers from ages 20 to 59 who have experienced using chatbot in a mobile shopping for fashion products. After a pilot survey to 53 customers, the preliminary questionnaire was revised for the final test, and the final questionnaire was administered to 1500 customers. Out of these, 300 were collected. After deleting 48 incomplete ones, 252 questionnaires were used in the statistical analysis. Frequency analysis and exploratory factor analysis using SPSS 23.0 and confirmatory factor analysis and structure equation analysis using AMOS 18.0 were employed for data analyses. Results - First, four factors were extracted for the chatbot's characteristics: ease of use, social presence, playfulness and usefulness. Second, regarding the effect of chatbot's characteristics on service value when purchasing fashion products in the mobile shopping environment, ease of use, playfulness and usefulness of chatbot significantly affected service value. Social presence did not have significant effects on service value. Third, in terms of the effect of the chatbot's characteristics on customer satisfaction when purchasing fashion products in the mobile shopping environment, social presence, playfulness and usefulness of chatbot significantly had an effect on customer satisfaction. Ease of use did not have a significant effect on customer satisfaction. Fourth, service value of chatbot when purchasing fashion products in mobile shopping environment was found to have an effect on customer satisfaction with chatbot. Fifth, service value of chatbot on reuse intention when purchasing fashion products in the mobile shopping environment was found to have an effect on reuse intention of chatbot. Sixth, customer satisfaction with chatbot had a significant impact on the reuse intention of the chatbot when purchasing fashion products in the mobile shopping environment. Conclusions - The present study provide dimensions on the chatbot’s characteristics and these may provide helpful data for further studies in this area and for marketers as well.

Purpose - The purpose of this research is to determine the impact of word of mouth on customer perceived value for restaurants in Malaysia. The objectives of this research include determining how word of mouth (WoM) factors - frequency of word of mouth messages, reputation of word of mouth messenger, richness of word of mouth message, dispersion of word of mouth conversations and manner of word of mouth delivery impact customer perceived value in Malaysian restaurant industry. Research Design, Data, and Methodology – The research follows causal / explanatory research method based on quantitative data. A sample of 150 restaurant customers in Kuala Lumpur, Malaysia was selected using convenience sampling technique. Likert scale questionnaire is used to collect data and data is analysed using regression analysis through SPSS 22. Results – The statistical analysis revealed that independent variable ‘manner of delivery’ significantly and positively impacts c ustomer perceived value for restaurants in Malaysia. Conclusions – To build strong positive customer perception, Malaysian restaurants can enhance word of mouth campaigns’ ‘manner of delivery’ by making them passionate, exciting and with high emotional appeal.