• The Research Journal of the Costume Culture
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• v.27 no.2
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• pp.154-168
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• 2019

The present study investigated fashion Instagram marketing, applying the concept of gamification. It set out to examine the following specific issues: 1) perceptions of flow, pleasures, dimensions of game dynamics (challenge, competition, achievement, reward, relationships among participants, and relationships between brands and consumers), and consumer responses based on frequency and involvement in exercise; 2) the effects of game dynamics dimensions on flow and pleasure; and 3) the effects of flow and pleasure on consumer responses. An online survey was used to gather data and the study analyzed a total of 200 responses. The results of the study were as follows. Perception differences were found only in relation to exercise involvement. Competition, relationships among participants, and relationships between brands and customers positively predicted flow. Among the dimensions of game dynamics, challenge, competition, reward, relationships among participants, and relationships between brands and consumers positively influenced pleasure. In addition, the study also found that pleasure and flow had positive effects on intention to participate and brand loyalty. Meanwhile, only pleasure predicted word-of-mouth. These findings suggest that fashion brands implementing Instagram as a marketing channel should seek to stimulate pleasure and fun to provoke positive consumer responses. Furthermore, the findings of the study provide practical and useful insights for fashion brands implementing Instagram marketing.

• Journal of Fashion Business
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• v.25 no.6
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• pp.81-101
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• 2021

Traditional department stores have been struggling to attract customers for several years. Many retail stores have closed in recent years, even before the COVID-19 pandemic. The reinvention of in-store shopping value and experience is imperative to attract customers and reinvigorate retail business. The purpose of this study was to discover which in-store components can improve customer experiences and loyalty while also identifying dissatisfaction issues in consumer experiences in department stores. The data was collected from two consumer groups-luxury department store (Selfridges) customers and mid-market department store (Debenhams) customers-to identify the types of value and experiences they seek most often. The findings showed that to enhance their store patronage, Debenhams should reposition their brand image in a way that allows customers to connect with their self-image and lifestyle by improving efficiency and convenience and prioritizing the utilitarian and social value types. By contrast, Selfridges should enhancetheir store atmosphere, visual merchandising and sensory experiences by maximizing slow retailing experiences and emphasizing the aspirational self-concept image for symbolic and hedonic value. This research uncovered the existence of numerous overlappingvalue dimensions, each of which contributed to the enhancement of the others. Several young customers expressed their support for ecologically responsible, cost-effective second-hand luxury products. Instead of focusing merely on conventional value dimensions, department retailers should determine how environmental and ethical objectives can be fulfilled. This study explained how department stores can craft their in-store environments to appeal to their customers' preferred value types to ensure success in a competitive market.

• Journal of Distribution Science
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• v.21 no.3
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• pp.83-92
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• 2023

Purpose: An omnichannel strategy creates a consistent brand image and customer experience across all channels, making it easier for customers to interact with a business and share information. This research aimed to investigated the relationship between consumers' information-sharing intention and their omnichannel experiences. Research design, data, and methodology: Through an online survey conducted in Vietnam, the study obtained 915 responses. The study used Partial Least Square Structural Equation Modeling (PLS-SEM) to analyze research data and confirm proposed research hypotheses. Results: Research results indicated that information-sharing intention is affected by both online and offline customer experience, and at the same time, the study also confirmed that omnichannel's three characteristics (integration, individualization, interaction) positively impact on customer experience. Conclusions: From the research result, businesses may boost consumer trust and loyalty with the help of an omnichannel approach, which in turn increases customers' propensity to provide personally identifying information to the firm. One way to do this is to facilitate information exchange by delivering customized and relevant offers. Furthermore, companies show consumers the benefit of providing their data by utilizing it to enhance the customer experience.

• Journal of Sport and Applied Science
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• v.6 no.2
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• pp.9-18
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• 2022

Purpose: This research aims to analyze the relationship marketing between football club organizations, players, and the fans club community. Research design, data, and methodology: An ethnographic approach was used to observe for eight months in the community, interviews, and documents analysis in Bonek Mania community fans club and Persebaya, a football club management in Surabaya, Indonesia. Results: The results show that the management of the football club has maintained the football high-end brand image in the national league. Stakeholders have endeavored to build the values and shared meaning with the public and cohesively with Bonek Mania. The struggles and achievements are intended to maintain the local collective memory of Surabaya's patriotism as the "city of heroes." Sustainable relationships were built by professional football club managers, players, and the fans club to foster the spirit, economic resources, and sustainable development. Conclusions: This research implies that it can provide direction for the management of football clubs by paying attention to relationship marketing, developing unique local values to build the customers' loyalty. Further implications were discussed.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.4
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• pp.638-656
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• 2022

This study aimed to identify characteristics of Generation MZ's consumer purchase decision journey to develop the new fashion CDJ model. The initial stage was affected by habit, online community, social media, aesthetics, circumstantial need, and proxy. In the search and consideration stage, mobile channels were used actively. In the active search and evaluation stage, online media, experiential data, and personal information were employed. In the purchase stage, zoomers took plenty of time in search and evaluation before spending, contrary to millennials who made their purchases more quickly. In the post-purchase experience stage, zoomers actively displayed follow-up behaviors depending on their satisfaction, such as retaining or deleting the app. While, millennials did not turn away from the store or brand, but followed up on their purchases even when they had an unsatisfactory experience. Based on the characteristics of CDJ, iterative cycle CDJ models were developed. Zoomers CDJ model was presented as a search loop that consists of the search and evaluation process, in which information accumulates, and a purchase loop in which the actual purchase occurs. The iterative cycle CDJ model was presented connected to the loyalty loop as the main section, which is accelerated in millennials' CDJ model.

• The Korean Journal of Food & Health Convergence
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• v.9 no.5
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• pp.7-11
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• 2023

Purpose: The purpose of this study is to analyze current trends in the Korean ice cream industry and determine how these trends affect the competitiveness of each ice cream company. Method: This study was conducted by reviewing existing related literature and collecting and analyzing data from news articles, corporate reports, and existing researchers' studies related to the ice cream industry. Results: The Korean ice cream industry is growing and developing through the collaboration of fun marketing with taste, quality, and fun elements, and the young MZ generation can be said to be the main customer base. In terms of quality, premium ice cream made with high-quality domestic ingredients has recently been gaining popularity, and ice cream with reduced fat and sugar, such as plant-based substitutes, is also gaining popularity among consumers. Conclusions and Implications: The results of this study highlight the need for continued innovation in the Korean ice cream industry. The industry must also capitalize on the growth of online sales and the global appeal of Korean pop culture. Sustainability efforts, technology adoption, and strategic collaboration are key drivers for future industry success, and social media engagement must be integrated into marketing strategies to increase brand awareness and consumer loyalty.

• The Korean Journal of Food & Health Convergence
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• v.10 no.4
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• pp.1-8
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• 2024

This study investigates the impact of servicescape elements in franchise fast food restaurants on the attitudes and revisit intentions of Generation MZ. Employing a mixed-methods approach, we surveyed 231 MZ consumers across five major urban centers. Our findings reveal that ambient conditions, spatial layout, and technology integration significantly influence MZ consumers' perceptions and behaviors. Specifically, sustainability-oriented design, customizable spaces, and seamless digital integration emerged as key drivers of positive attitudes and increased revisit intentions. Furthermore, we identify important generational differences, with Gen Z placing higher importance on Instagram-worthy aesthetics and contactless service options compared to Millennials. This research contributes to servicescape theory by proposing a novel framework tailored to MZ consumers in the fast food context. It offers practical implications for franchise operators seeking to attract and retain this crucial demographic. Our study highlights the evolving preferences of younger consumers and underscores the need for adaptable servicescape strategies in the fast food industry. The results suggest that franchises investing in environmentally conscious designs, flexible spaces, and cutting-edge technology are likely to see improved customer satisfaction and loyalty among MZ consumers. Future research could explore the long-term effects of these servicescape elements on brand perception and market share within the competitive fast food landscape.

• Cartoon and Animation Studies
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• s.17
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• pp.53-67
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• 2009

According to the changes of current regulation of media, the broadcasting environment has been loosened by market power, and came into competitive era for broadcasting industry with new technology of combined broadcasting and communication. To resolve these issues, the broadcasting provides are trying process of new channel brand identity to introduce their channels. The purpose of the research is to analyze Spot animation that has fast access to viewers among channel brand identity factors, review expandability and usage of Spot animation character to plan, manage character that can improve awareness and loyalty. Therefore it will study creation background and production, activities of each character representing KBS and MBC, compare the structure, color, material, expression of Spot animation character and summarize properties. To conclusion, three characters of KBS and MBC failed to apply structured and professional plan and management, only expressed image that each channel pursue on Station ID Spot animation and had issues of not deeply sighting expandability and usefulness as a character. The important factor to improve channel brand value of broadcasting provider is to have differentiated identity, and the core of it is to make image-responsible Station ID to be effective. Therefore, Spot animation and character of Station ID is a very important factor so there must be professional research and structural management from the early planning and production for character that represents the providers.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.111-126
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• 2020

Most industries have recently become aware of the importance of customer lifetime value as they are exposed to a competitive environment. As a result, preventing customers from churn is becoming a more important business issue than securing new customers. This is because maintaining churn customers is far more economical than securing new customers, and in fact, the acquisition cost of new customers is known to be five to six times higher than the maintenance cost of churn customers. Also, Companies that effectively prevent customer churn and improve customer retention rates are known to have a positive effect on not only increasing the company's profitability but also improving its brand image by improving customer satisfaction. Predicting customer churn, which had been conducted as a sub-research area for CRM, has recently become more important as a big data-based performance marketing theme due to the development of business machine learning technology. Until now, research on customer churn prediction has been carried out actively in such sectors as the mobile telecommunication industry, the financial industry, the distribution industry, and the game industry, which are highly competitive and urgent to manage churn. In addition, These churn prediction studies were focused on improving the performance of the churn prediction model itself, such as simply comparing the performance of various models, exploring features that are effective in forecasting departures, or developing new ensemble techniques, and were limited in terms of practical utilization because most studies considered the entire customer group as a group and developed a predictive model. As such, the main purpose of the existing related research was to improve the performance of the predictive model itself, and there was a relatively lack of research to improve the overall customer churn prediction process. In fact, customers in the business have different behavior characteristics due to heterogeneous transaction patterns, and the resulting churn rate is different, so it is unreasonable to assume the entire customer as a single customer group. Therefore, it is desirable to segment customers according to customer classification criteria, such as loyalty, and to operate an appropriate churn prediction model individually, in order to carry out effective customer churn predictions in heterogeneous industries. Of course, in some studies, there are studies in which customers are subdivided using clustering techniques and applied a churn prediction model for individual customer groups. Although this process of predicting churn can produce better predictions than a single predict model for the entire customer population, there is still room for improvement in that clustering is a mechanical, exploratory grouping technique that calculates distances based on inputs and does not reflect the strategic intent of an entity such as loyalties. This study proposes a segment-based customer departure prediction process (CCP/2DL: Customer Churn Prediction based on Two-Dimensional Loyalty segmentation) based on two-dimensional customer loyalty, assuming that successful customer churn management can be better done through improvements in the overall process than through the performance of the model itself. CCP/2DL is a series of churn prediction processes that segment two-way, quantitative and qualitative loyalty-based customer, conduct secondary grouping of customer segments according to churn patterns, and then independently apply heterogeneous churn prediction models for each churn pattern group. Performance comparisons were performed with the most commonly applied the General churn prediction process and the Clustering-based churn prediction process to assess the relative excellence of the proposed churn prediction process. The General churn prediction process used in this study refers to the process of predicting a single group of customers simply intended to be predicted as a machine learning model, using the most commonly used churn predicting method. And the Clustering-based churn prediction process is a method of first using clustering techniques to segment customers and implement a churn prediction model for each individual group. In cooperation with a global NGO, the proposed CCP/2DL performance showed better performance than other methodologies for predicting churn. This churn prediction process is not only effective in predicting churn, but can also be a strategic basis for obtaining a variety of customer observations and carrying out other related performance marketing activities.

• Asia Marketing Journal
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• v.12 no.4
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• pp.137-164
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• 2011

In the past, retailers secured customer loyalty by offering convenient locations, unique assortments of goods, better services than competitors, and good credit policy. All this has changed. Goods assortments among stores have become more alike as national-brand manufacturers place their goods in more and more retail stores. Service differentiation also has eroded. Many department stores have trimmed services, and many discount stores have increased theirs. Customers have become smarter shoppers. They don't pay more for identical brands, especially when service differences have diminished. In the face of increased competition from discount storess and specialty stores, department stores are waging a comeback war. Growth of intertype competition, competition between store-based and non-store-based retailing and growing investment in technology are changing the way consumers shop and retailers sell. Different types of stores-discount stores, catalog showrooms, department stores-all compete for the same consumers by carrying the same type of merchandise. The biggest winners are retailers that have helped shoppers to be economically cautious, simplified their increasingly busy and complicated lives, and provided an emotional connection. The growth of e-retailers has forced traditional brick-and-mortar retailers to respond. Basically brick-and-mortar retailers utilize their natural advantages, such as products that shoppers can actually see, touch, and test, real-life customer service, and no delivery lag time for small-sized purchases. They also provide a shopping experience as a strong differentiator. They are adopting practices as calling each shopper a "guest". The store atmosphere should match the basic motivations of the shopper. If target consumers are more likely to be in a task-oriented and functional mindset, then a simpler, more restrained in-store environment may be better. Consistent with this reasoning, some retailers of experiential products are creating in-store entertainment to attract customers who want fun and excitement. The retail experience must deliver value to turn a one-time visitor into a loyal customer. Retailers need a tool that measures the full range of components that define experience-based value. This study uses an experiential value scale(EVS) developed by Mathwick, Malhotra and Rigdon(2001) which reflects the benefits derived from perceptions of playfulness, aesthetics, customer "return on investment" and service excellence. EVS is useful to predict differences in shopping preferences and patronage behavior of customers. EVS consists of items measuring efficiency, economic value, visual appeal, entertainment value, service excellence, escapism, and intrinsic enjoyment, which are subscales of experiencial value. Efficiency, economic value, service excellence are linked to the utilitarian shopping value. And visual appeal, entertainment value, escapism and intrinsic enjoyment are linked to hedonic shopping value. It has been found that consumers value hedonic experiences activated from escapism and attractiveness of shopping environment as much as the product quality, price, and the convenient location. As a result, many department stores, discount stores, and other retailers are introducing differential marketing strategy based on emotional/hedonic values. Many researches suggest that consumers go shopping not only for buying products but also for various shopping experiences. In other words, they seek the practical, rational value as well as social, recreational values in the shopping process(Babin et al, 1994; Bloch et al, 1994). Retailers may enhance buyer's loyalty to store by providing excellent emotional/hedonic value such as the excitement from shopping, not just the practical value of buying good products efficiently. We investigate the effect of perceived shopping values on the emotional experience and store loyalty based on the EVS(Experiential Value Scales) developed by Holbrook(1994), Mathwick, Malhotra and Rigdon(2001). This study assumes that the relative effect of shopping value dimensions on the responses of shoppers will differ according to types of stores and analyzes the moderating effect of store type(department store VS. discount store) on the causal relationship between shopping value dimensions and store loyalty. Emprical results show that utilitarian values of shopping experience and hedonic value of shipping experience give the positive effect on the emotional response of consumers and store loyalty. We also found the moderating effect of store types. The effect of utilitarian shopping values on the attitude toward discount store is higher than the effect of utilitarian shopping values on the attitude toword department store. And the effect of hedonic shopping value on the emotional response to discount store is higher than on the emotional response to department store. The empirical results reflect on the recent trend that discount stores try to fulfill the hedonic needs of consumers as well as utilitarian needs(i.e, low price) that discount stores traditionally have focused on