Mobile shopping motivations affects the interaction between mobile shoppers and mobile retailers. This study examines how mobile shopping motivations affect value co-creation, customer equity drivers, and customer lifetime value through a structural equation model. Mobile shopping motivations as mobile shoppers’ needs are time saving, right purchase and money saving. To meet mobile shoppers’ needs, mobile shoppers, mobile retailers, and other customers are willing to collaborate. Value co-creation that Yi and Gong (2013) scaled includes customer participation behaviour such as information seeking, information sharing, responsible behaviour, and personal interaction, and customer citizenship behaviour such as feedback, helping, advocacy, and tolerance. The results indicate that mobile shopping motivations are significant determinants of value co-creation behaviours, implying that mobile shopping motivations are driving factors of value co-creation. Customer participation behaviour has significant effects on value equity and brand equity while customer citizenship behaviour shows positive effects on brand equity and relationship. As for customer lifetime value, relationship equity has significant positive effect, while value and brand equity had no significant influence. This study also shows that mobile shopping motivations affect both value equity and relationship equity of mobile shopping apps by improving information sharing, responsible behaviour, and personal interaction, feedback, helping, and advocacy. Value equity and relationship equity also have significant effects on customer lifetime value. The authors discuss the theoretical and managerial implications for their findings.

The main objective of this study is to compare the difference of consumers’ perception on brand context. The focal factors are brand equity, brand personality and perceived customer value. This would enhance the knowledge of cross-cultural brand equity and brand personality, especially in Fast-Fashion industry. In addition, the findings of this study show that, for a brand in different marketing context, how customers perceive the brand and contribute it to their value. The sample size of 800 consumers is applied (400 Japanese consumers and 400 Thai consumers. The focal brand is randomly selected by the researcher. The Structural Equation Modelling with multiple group analysis would be conducted for examining the differences of consumer perception on a Fast-Fashion brand. All major model fits indicator would be evaluated. Finally, the results of the study would be discussed.

The advent of smart shopping environments including innovative information technology, advanced delivery systems, and extended smart phone use has rapidly changed the shopping methods and activities of the consumers. They have chosen smart shopping with greater frequency, which minimizes the use of time, money, effort and energy to buy the right products and to gain shopping experiences such as hedonic and utilitarian feelings (Atkins and Kim, 2012). The concept of smart shopping is based on value co-creation which can be explained as the value from the outcome of interaction between firms and consumers (Grönroos, 2011, Vargo and Lusch, 2004). In the value co-creation process, smart shoppers are willing to perform customer participation behaviors such as information seeking, information sharing, responsible behavior, and personal interaction, and to show customer citizenship behaviors such as feedback, advocacy, helping, and tolerance (Yi and Gong 2013). In smart shopping, a consumer involves in shopping experiences through product purchases and while engaged via the shopping environments such as an elaborate store design, educational events, recreation, and entertainment (Fiore and Kim, 2007). These shopping experiences, which contain both hedonic and utilitarian value (Holbrook and Hirschman, 1982), are better explained by consumer processes, responses on the shopping environment, situation, and consumer characteristics (Fiore and Kim, 2007). The attributes of shopping experience are symbolic, hedonic, and aesthetic (Holbrook and Hirschman, 1982) and utilitarian and hedonic (Kim, Lee and Park, 2014). Smart shoppers who are involved with value co-creation obtain hedonic benefits with emotional, funny, and enjoyable feelings and along with utilitarian benefits such as rational, functional, task-related experiences (Holbrook and Hirschman, 1982). The value co-creation and the shopping experience lead to greater customer equity such as value equity, brand equity, and relationship equity (Lemon, Rust, and Zeithamal 2001). Based on previous literature review, the authors constructed the following hypotheses. First, smart shopping will have positive effects on value co-creation, the shopping experience, and customer equity. Second, the smart shopping will have positive effects on both value co-creation and the shopping experience. Third, value cocreation will have positive effects on the shopping experience. Fourth, value cocreation and the shopping experience will have positive effects on customer equity. The authors collected the data based on questionnaires from mobile smart shoppers. The SPSS 20 and AMOS 20 statistical programs will be used for the data analysis. The analysis found the positive influence that smart shopping has on value co-creation and the shopping experience, and customer equity. This is the first study that shows these relationships from an empirical point-of-view. The findings of the study have useful managerial implications on the effects of value co-creation on both smart shoppers and firms. Value co-creation will provide smart shoppers with better product or service quality and enhance firms with more valuable customer equity. The greater shopping experience is the greater customer equity that will be developed. Value co-creation also will give firms a strong competitive advantage in terms of an organization’s learning, brand perception, reduced risk, improvement of customer relationships, and lowering cost for marketing, and research and development. The study has limitations. First, other potential variables of the value co-creation influencing new service development, customer loyalty, and customer satisfaction etc, could be considered. Second, the length of the relationship between smart shoppers and the service provider in value co-creation process should be considered. Third, the study needs to be generalized to cross sectional research beyond smart shopping area. Finally, to examine the effects of value co-creation and the shopping experience on customer equity, future research could investigate how value co-creation and the shopping experience affect the objective financial performance of a firm.

Dongdaemun Fashion Town, a representative clothing wholesale and retail market in South Korea, is a traditional market that was formed in the 19th century in the late Chosun Dynasty. Since then, the market system has strengthened and, as of now, Dongdaemun Fashion Town can produce various products in batch production and is characterized by a quick market response (Jung, Choo, & Chung, 2007). Furthermore, all fashion-related functions are available, making Dongdaemun Fashion Town an industrial cluster where all related businesses and services are locally concentrated (Ko, Choo, Lee, Song, & Whang, 2013). These characteristics of Dongdaemun Fashion Town relieve market trade cost and build a unique production system. It is positioned as a central clothing wholesale and retail district with the function of a national wholesale market. This Dongdaemun Fashion Town system creates services that customers demand through cooperation, partnership, or outsourcing between various suppliers and various resources (Nam, Kim, Yim, Lee, & Jo, 2009). Thus, Dongdaemun Fashion Town is a system space composed of subordinate markets with unique taste functions; here, a systematic network between the suppliers is significant. It produces value co-creation through collaboration with suppliers. However, few previous studies have investigated co-value created through co-production or co-innovation from Dongdaemun Fashion Town. Also, the shift from product-centered thinking to the customer-centered thinking implies the need for an accompanying shift to the customer-based strategy. It also refers the necessity of strategy to improve customer equity (Rust, Lemon, & Zeithaml, 2004). Therefore, further study is needed on co-creation research to make cyclical growth of traditional market and customer equity. The structure of this study is as follows. First, the characteristics of the Dongdaemun Fashion Town’s co-production, co-innovation, and value co-creation are investigated and each of the subordinate aspects is investigated. Second, the influence of co-production, co-innovation, and value co-creation on customer equity driver is analyzed. Third, the moderating effects on the types of suppliers’ (wholesale/retail) influence relationship are analyzed. In total, 300 samples by wholesalers and retailers were collected for the final analysis. Data analysis was performed used SPSS 21.0 for exploratory factor analyses, reliability analysis, and descriptive statistics. Based on the results, AMOS 18.0 was used for confirmatory factor analysis and multiple group analysis. The results of this study provide an insight into the influence of Dongdaemun Fashion Town’s co-production, co-innovation, and value co-creation on customer equity by wholesalers and retailers. The study concludes with outlining future directions of research that can be used in the development of marketing strategies.

Stock price multiple is one of the most well-known equity valuation technique used to forecast equity price. It measures by multiplying “the ratio of stock price to a value driver” by a value driver. The value driver can be earning per share (EPS), sales or other financial measurements. The objective of price multiple technique is to evaluate the value of assets and compare how similar assets are priced in the market. Although stock price multiple technique is common in financial filed, studies on the application of the technique in Thailand is still limited. The present study is conducted to serve three major objectives. The first objective is to apply the technique to measure value of firms in banking sector in the Stock Exchange of Thailand. The second objective is to develop composite price multiple index to forecast equity prices. The third objective is to compare valuation accuracy of different value drivers of price multiple (i.e. EPS, Earnings Growth, Earnings Before Interest Taxes Depreciation and Amortization, Sales, Book Value and Composite Index) in forecasting equity prices. Results indicated that EPS is the most accurate value drivers of price multiple used to forecast equity price of firms in baking sector.