• Journal of the Korean Home Economics Association
• /
• v.45 no.1
• /
• pp.51-61
• /
• 2007

The purpose of this study was to examine if multi-shop's store image affects store loyalty and brand switching. Two hundred fifty females and males who have purchased fashion products in multi-shop participated in this survey. For data analysis, descriptive statistics, factor analysis, Pearson's correlation and regression analysis were used for this study. The results were as followed. First, respondents' the most favorite multi-shop was MUE, followed by Boon the shop and ABC mart. Second, store image was classified into four factors such as store atmosphere, service of store, store recognition and product variety. Store loyalty was classified into five factors such as emotional relationship, pursue of novelty, trust about salesperson, satisfaction about service, and active loyalty. Third, result revealed that 'product variety' and 'store atmosphere', 'store recognition', 'service of store' accounted for 39.6% of the explained varience in store loyalty, and 'store recognition' accounted for 4% of the explained varience in brand switching behavior, while 'trust about salesperson', 'pursue of novelty' accounted for 5% of the explained varience in brand switching behavior. Based on these results, multi-shop's fashion marketing strategy would be suggested.

• Korean Management Science Review
• /
• v.22 no.1
• /
• pp.179-197
• /
• 2005

This study examines market acceptance for DMB service, one of the touted new business models in Korea's next-generation mobile communications service market, using adoption end diffusion of innovation as the theoretical framework. Market acceptance for DMB service was assessed by predicting the demand for the service using the Bass model, and the demand variability over time was then analyzed by integrating the innovation adoption model proposed by Rogers (2003). In our estimation of the Bass model, we derived the coefficient of innovation and coefficient of imitation, using actual diffusion data from the mobile telephone service market. The maximum number of subscribers was estimated based on the result of a survey on satellite DMB service. Furthermore, to test the difference in diffusion pattern between mobile phone service and satellite DMB service, we reorganized the demand data along the diffusion timeline according to Rogers' innovation adoption model, using the responses by survey subjects concerning their respective projected time of adoption. The comparison of the two demand prediction models revealed that diffusion for both took place forming a classical S-curve. Concerning variability in demand for DMB service, our findings, much in agreement with Rogers' view, indicated that demand was highly variable over time and depending on the adopter group. In distinguishing adopters into different groups by time of adoption of innovation, we found that income and lifestyle (opinion leadership, novelty seeking tendency and independent decision-making) were variables with measurable impact. Among the managerial variables, price of reception device, contents type, subscription fees were the variables resulting in statistically significant differences. This study, as an attempt to measure the market acceptance for satellite DMB service, a leading next-generation mobile communications service product, stands out from related studies in that it estimates the nature and level of acceptance for specific customer categories, using theories of innovation adoption and diffusion and based on the result of a survey conducted through one-to-one interviews. The authors of this paper believe that the theoretical framework elaborated in this study and its findings can be fruitfully reused in future attempts to predict demand for new mobile communications service products.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.12
• /
• pp.519-528
• /
• 2021

The COVID-19 pandemic struck several countries in 2020. After the government officially announced that individuals will be working from home, shut public service agencies, and compelled people to wear masks and maintain social distance, several hundred business actors were forced to shut down their firms. The purpose of this study is to help companies determine the steps for a new marketing strategy for healthy food products in Indonesia. The number of samples was 500 respondents. The variance-based Structural Equation Modeling (SEM) method was used to conduct this investigation, which was similar to a marketing study. The findings show that in Indonesia, lifestyle and price perceptions influence healthy food product purchasing decisions. Meanwhile, brand awareness and customer attitudes had no bearing on healthy food products purchase decisions. The novelty of this study stems from the discovery of new opportunities for business players to market healthy food products during the current COVID-19 period. This opportunity arises as a result of changes in customer lifestyles and price perceptions, both of which must be taken into account by organizations to offer nutritious food items at reasonable rates in Indonesia.

• Journal of the HCI Society of Korea
• /
• v.11 no.1
• /
• pp.47-55
• /
• 2016

Three Dimensional Printing (herein, 3D printing) not only gives novelty and interests to modern people but is also a spotlighted technology that could herald a new industrial revolution. The introduction of various 3D printing service platforms has enabled individuals to easily possess products designed through 3D printing. However, there are still many issues to consider until the era of new manufacturing, when 3D printing becomes available to the general public so that anyone can make and design products with 3D printing. For instance, there needs to be sufficient consideration and research on whether the current 3D printing services can prove their higher capability to produce products conventionally done by machines and hands through 3D printing, and on the meaning of selling a wide range of product families like those of most 3D printing service platforms to the consumers. This study, which was initiated in this context, aimed to gain insight on the directions that 3D printing services need to advance going forward by letting consumers have first-hand experience on 3D printing online service platforms with a wide range of product families and those with relatively limited services, and then asking them to answer multiple-choice and short-answer survey questions on the websites they wish to purchase from, diversity of designs, design satisfaction, perceived technical skills, perceived purchase satisfaction, perceived after-sales service(A/S). As a result, we were able to witness that consumers generally had a strong preference for services with a wide range of product families (e.g. Shapeways) compared to services with a narrow range (e.g. Digital Forming). We also verified that design diversity and the possibility of realizing the designs were the crucial aspects that need to be considered with 3D printing services. Moreover, we also carried out discussions on carrying out design consulting by securing a pool of designers from diverse fields, on providing web-based designing software that can be utilized even by beginners, and on operating shops both online and offline in order to provide more competitive 3D printing services.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.6
• /
• pp.365-378
• /
• 2020

The study aims to develop concepts originating through empirical research models to build superior competitiveness and optimal performance achievement. Therefore, to bridge these goals, the study addresses several indicators/items as a novelty, namely, entrepreneurship insight factors, market orientation, knowledge-sharing, innovation, managerial capability, product strategy, process and service improvement, resources capability to improve performance and increase competitiveness by empirical model direct, mediating and indirect effect. The total sample in this study is 497 eligible SMEs that partner with go-food in Makassar City. All research samples are the owner or the person in charge of the business; the data collection period is from May to December 2019. Data are collecting using a survey with 64 construct questions, summarized in seven manifest variables. The research method uses quantitative tools, with SMART-PLS as a statistical tool. This study develops sixteen hypotheses; all of the hypotheses are supported both directly, indirectly, and mediated. The study also found that the link based on CCT, RBV, and TAM Theory is the right choice of theories, as the foundation of this study was very reliable and valid. Indeed, all of the grounded methods have implications both in theory and its main application for the business in the online marketplace.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.19 no.5
• /
• pp.247-260
• /
• 2024

As corporate listing became difficult after the foreign exchange crisis in 2008, the public offering method was changed in Korea in 2009 to allow listing through the SPAC (Special Purpose Acquisition Company) program. In the early stages of implementation, the negative perception that it was a backdoor listing rather than a direct listing through an IPO (Initial Public Offering) was dominant, but after COVID-19, many companies at home and abroad began to pursue listing through the SPAC program, and listing through SPAC has recently become very popular. In order to confirm the changes in SPAC after COVID-19, this study aims to analyze the overall trend related to the selection of a special purpose acquisition company (SPAC) after COVID-19 by adding variables related to the characteristics of the main product and the outlook for corporate growth in addition to the variables related to the financial status of the company identified in previously published papers as the reasons for unlisted small and medium-sized enterprises to choose the SPAC program. Specifically, this study additionally examined the degree of product innovation and the outlook for corporate growth after COVID-19 in addition to the variables related to the difficulties in traditional corporate management identified as performance indicators as the reasons for unlisted small and medium-sized enterprises to choose SPAC. Based on 200 sample data surveyed on unlisted SMEs, the results of the analysis using logistic regression analysis showed that the reasons why Korean unlisted SMEs choose SPAC programs did not produce significant analysis results for the variables presented in previously published studies, but similar patterns were confirmed, and the hypotheses related to product innovation and corporate growth prospects after COVID-19, which were the focus of this study, were significantly supported. These analysis results include the recent changes in perceptions surrounding SPACs, and expand existing knowledge by adding the reasons why unlisted SMEs choose SPAC programs. The analysis results of this study will provide implications for researchers and practitioners interested in SPAC programs.

• Journal of Intelligence and Information Systems
• /
• v.26 no.4
• /
• pp.67-86
• /
• 2020

Recommender Systems have been huge influence users and business more and more. Recently the importance of E-commerce has been reached rapid growth greatly in world-wide COVID-19 pandemic. Recommender system is the center of E-commerce lively. Top ranked E-commerce managers mentioned that recommender systems have a major influence on customer's purchase such as about 50% of Netflix, Amazon sales from their recommender systems. Most algorithms have been focused on improving accuracy of recommender system regardless of novelty, diversity, serendipity etc. Recommender systems with only high accuracy cannot satisfy business long-term profit because of generating sales polarization. In addition, customers do not experience enjoyment of shopping from only focusing accuracy recommender system because customer's preference is changed constantly. Therefore, recommender systems with various values need to be developed for user's high satisfaction. Reranking is the most useful methodology to realize diversity of recommender system. In this paper, diversity of recommender system is represented through constructing high similarity with users who have different preference using each user's purchased item's category algorithm. It is distinguished from past research approach which is changing the algorithm of recommender system without user's diversity preference level. We tried to discover user's diversity preference level and observed the results how the effect was different according to user's diversity preference level. In addition, graph-based recommender system was used to show diversity through user's network, not collaborative filtering. In this paper, Amazon Grocery and Gourmet Food data was used because the low-involvement product, such as habitual product, foods, low-priced goods etc., had high probability to show customer's diversity. First, a bipartite graph with users and items simultaneously is constructed to make graph-based recommender system. However, each users and items unipartite graph also need to be established to show diversity of recommender system. The weight of each unipartite graph has played crucial role changing Jaccard Distance of item's category. We can observe two important results from the user's unipartite network. First, the user's diversity preference level is observed from the network and second, dissimilar users can be discovered in the user's network. Through the research process, diversity of recommender system is presented highly with small accuracy loss and optimalization for higher accuracy is possible controlling diversity ratio. This paper has three important theoretical points. First, this research expands recommender system research for user's satisfaction with various values. Second, the graph-based recommender system is developed newly. Third, the evaluation indicator of diversity is made for diversity. In addition, recommender systems are useful for corporate profit practically and this paper has contribution on business closely. Above all, business long-term profit can be improved using recommender system with diversity and the recommender system can provide right service according to user's diversity level. Lastly, the corporate selling low-involvement products have great effect based on the results.