• The Korean Journal of Franchise Management
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• v.2 no.1
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• pp.100-118
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• 2011

Since 1990, income has been grown rapidly in Korea. Thus, concerns of environmental pollution and health have been increased among Korea's consumers. As a result of this concern, demand for safe food and agricultural products has been growing in Korea. Recently, purchasing patterns of Korea's consumers have been changed as Korea's society has changed to an aging society, growth of unmarried person, and low birthrate. Korea's consumers prefer to buy only volume that they need. Thus, the volume of agricultural products that they purchase became small. Therefore, retailers should reflect such needs of consumers to their business. The purpose of this study is to build up new strategies in order to make a high profit through customer's satisfaction when selling agricultural products. Using literature review, this study has drawn results. The results of this study is that retailers should lay products with brand in their store and establish trust with customers in oder to make loyal customers. In addition, retailers should prepare individual package of agricultural products for sales of a small volume to keep pace with social changes.

• Asia Marketing Journal
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• v.13 no.1
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• pp.1-26
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• 2011

Measuring the quality of city life (QCL) is important for city marketing given that QCL influences the city brand image and resident city relationship. Despite its importance, most previous measures of community well being were developed in the context of small towns, and limited attention has been given to a subjective measure of QCL in the context of a large city. This study develops and tests a subjective measure of quality of city life (QCL) in the context of a large metropolitan city. Quality of city life (QCL) refers to the degree of need satisfaction and feelings of happiness one experiences during the course of city life. The results from a survey of 507 residents from 25 major districts in Seoul indicate that the QCL measure has convergent and discriminate validity. The results also indicate that QCL has predictive validity in relation to satisfaction with city services, trust in the city government, word of mouth communication, and a sense of citizen pride. The managerial and policy implications of this study are discussed.

• Knowledge Management Research
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• v.21 no.3
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• pp.249-269
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• 2020

Recently, as the online market has matured, it is facing many problems to prevent the growth. The most common problem is the homogenization of online products, which fails to increase the number of customers any more. Moreover, although the portion of the online market has increased significantly, it now becomes essential to expand offline for further development. In response, many online firms have recently sought to expand their businesses and marketing channels by securing offline spaces that can complement the limitations of online platforms, on top of their existing advantages of online channels. Based on their competitive advantage in terms of analyzing large volumes of customer data utilizing information technologies (e.g., big data and artificial intelligence), they are reinforcing their offline influence as well through this online for offline (O4O) business model. On the other hand, most of the existing research has primarily focused on online to offline (O2O) business model, and there is still a lack of research on O4O business models, which have been actively attempted in various industrial fields in recent years. Since a few of O4O-related studies have been conducted only in an experience marketing setting following a case study method, it is critical to conduct an empirical study on O4O selection attributes and their impact on customer satisfaction and loyalty. Therefore, focusing on China's representative O4O business model, 'Fresh Hema,' this study attempts to identify some key selection attributes specialized for O4O services from the customers' viewpoint and examine the impact of these attributes on customer satisfaction and loyalty. The results of the structural equation modeling (SEM) with 300 O4O (Fresh Hema) experienced customers, reveal that, out of seven O4O selection attributes, four (mobile app quality, mobile payment, product quality, and store facilities) have an impact on customer satisfaction, which also leads to customer loyalty (reuse intention, recommendation intention, and brand attachment). This study would help managers in an O4O area well adapt to rapidly changing customer needs and provide them with some guidelines for enhancing both customer satisfaction and loyalty by allocating more resources to more significant selection attributes, rather than less significant ones.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.6
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• pp.894-902
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• 2016

The purpose of this study was to analyze the attributes considered as important by parents in the selection of laver for infants through conjoint analysis techniques. A total of 917 questionnaires were distributed in January 2016, of which 211 were completed (23.0%). Statistical data analyses were performed using SPSS/Win 21.0 for descriptive statistics and conjoint analysis. The conjoint design was applied to evaluate the hypothetical laver for infants. According to the analysis of attributes and levels of laver for infants, the relative importance of each attribute was follows: seasoning (26.55%), flavor (19.33%), texture (18.75%), oil (15.15%), size (10.61%), and certification (9.61%). The results of the conjoint analysis indicate that parents raising infants preferred laver with the characteristics of non-seasoning, general flavor, softness, half-size, organic certification, and perilla oil. The most preferred laver for infants gained a 53.7% potential market share from choice simulation compared with laver being sold. Using utility and relative importance, the laver market for infants was classified into two segments. As a result of market segmentation, parents of cluster 1 preferred the laver model being sold (soy seasoning) while parents of cluster 2 preferred the optimized laver model (non-seasoning).