• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.5
• /
• pp.433-444
• /
• 2021

The study seeks to identify the factors affecting the green marketing element of students' food purchasing decision at Co-opMart supermarket chain in Ho Chi Minh City through the application of a mix of qualitative and quantitative research methods that include probability sampling and convenient sampling of 400 students from Ho Chi Minh City University of Technology (HUTECH). The data are analyzed with SPSS software using Cronbach's Alpha, Exploratory Factor Analysis, Multiple Linear Regression and PATH model to test the model through the intermediate variable 'student's perception' and the hypotheses, identifying the green marketing effects on HUTECH students' food purchasing decisions at Ho Chi Minh City Co-opMart supermarket chain. The results of the study identify four factors of the green marketing mix (4Cs), namely, green commodity, green cost, green convenience, and green communication. All these factors have an influence on the student's food purchasing decision at Co-opMart supermarket. Cost is the strongest factor eliciting student's interest in purchasing green products, followed by convenience, then communication. Commodity has the least impact on green purchasing decision. This study proposes some feasible solutions for Co-opMart managers to attract more students using green food in the complex situation of contaminated food, which is extremely harmful to consumers' health.

• Fashion & Textile Research Journal
• /
• v.10 no.2
• /
• pp.181-190
• /
• 2008

Active exploitation of experiential marketing is now practiced in diverse range of apparel brands such as luxury, sports and casual brands. Under such a market environments, this study attempts to verify the effects of consumer's experiential marketing perception by analyzing the formation process of brand attitude. The path from experiential marketing strategic modules (sense, feel, think, act, and relate) to brand loyalty is mediated by brand affect and brand trust. Two sports brands were selected as stimuli brands, and a survey was conducted on 286 consumers in their 20s and 30s. The study validates the importance of sense/feel marketing for apparel brands as it had extensive effects on brand affect which is highly significant in the formation of brand loyalty. As a result of comparative analysis of brand attitude and the path model of its formation for two brands which were different in consumers' perception of experiential marketing brand activities, the study realized that the higher the level of perceived experiential marketing, the higher the levels of brand affect, brand trust and brand loyalty. In particular, for brands perceived as actively engaged in experiential marketing, the path from the perception of experiential marketing activity to brand loyalty was clearly segmented between sensibility and rationality as sense/feel marketing had significant effects only on brand affect, and act/relate marketing only on brand trust. This study verifies the positive effects of perceived experiential marketing activities of apparel brands on brand equity, and proposes the strategic appropriateness of experiential marketing that embeds sensibility and feeling appeals.

• Industrial Engineering and Management Systems
• /
• v.14 no.4
• /
• pp.335-346
• /
• 2015

The electronic commerce site (EC site) has become an important marketing channel where consumers can purchase many kinds of products; their access logs, including purchase records and browsing histories, are saved in the EC sites' databases. These log data can be utilized for the purpose of web marketing. The customers who purchase many product items are good customers, whereas the other customers, who do not purchase many items, must not be good customers even if they browse many items. If the attributes of good customers and those of other customers are clarified, such information is valuable as input for making a new marketing strategy. Regarding the product items, the characteristics of good items that are bought by many users are valuable information. It is necessary to construct a method to efficiently analyze such characteristics. This paper proposes a new latent class model to analyze both purchasing and browsing histories to make latent item and user clusters. By applying the proposal, an example of data analysis on an EC site is demonstrated. Through the clusters obtained by the proposed latent class model and the classification rule by the decision tree model, new findings are extracted from the data of purchasing and browsing histories.

• The Korean Journal of Franchise Management
• /
• v.15 no.1
• /
• pp.11-27
• /
• 2024

Purpose: This study empirically examines the bandwagon effects on the adoption of Kiosks for the restaurants' owners. Utilizing Davis (1989)'s Technology Acceptance Model as a framework, this study contributes to the literature by adding a bandwagon effect variable. Bandwagon effect has been studied extensively on the consumer marketing domain in terms of end-user behavior, but not on the business owners' willingness to invest on the new technology. Research design, data, and methodology: Davis (1989)' Technology Acceptance Model with added a bandwagon effect variable was set as a theoretical model. Data was collected via survey instrument from restaurants' owners who purchased or are considering a Kiosk. Structural Equation Modeling was used to empirically test the proposed model. Results: Results show that bandwagon effect is indirectly affecting to the adoption of Kiosks via perceived usefulness, trustworthiness, and interests. The bandwagon effects are NOT directly affecting the adoption of Kiosks. Conclusion: The findings suggest that buyers of Kiosks as storeowners (not end users) consider buying them after storeowners check perceived interests and trustworthiness from others. Thus, there could be a practical implication that it is important to illustrate perceived interests for the business to the storeowners when marketing new technology.

• Journal of Intelligence and Information Systems
• /
• v.21 no.1
• /
• pp.29-45
• /
• 2015

Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.

• Journal of the Korean Society of Costume
• /
• v.58 no.3
• /
• pp.34-48
• /
• 2008

Modern fashion market is being developed by emotional values rather than rational idea of customers. Experiential marketing is an effective marketing strategy for fashion marketplace because customers tend to consider fashion shopping as an enjoyable experience. Among the fashion markets, the fashion stores for middle.old aged women that have various points of contacts could be appropriate place where emotional and relational marketing strategies would be applied to. The effects of the procedure "emotional and relational experience$\rightarrow$commitments$\rightarrow$long-term relationship orientation" that fashion customers are experiencing, by forming a path model, two types of experiential effects from emotion and relation were examined. It was found that fashion emotional and relational experiences were important factors because these factors affected a long-term relationship orientation. The findings of the study provide marketing strategy that enables to promote a consistent relationship between fashion stores and customers. Furthermore, this study will contribute to the criteria for segmentation of middle and old aged women's fashion market who have own desire for fashion emotional and relational experience.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.12
• /
• pp.529-540
• /
• 2021

This study proposes a model and attempts to illustrate the relationship between the frequency of dynamic capability utilization and marketing capabilities, and how market, technology, and competitor turbulence may affect these relationships. The findings suggest that in a highly turbulent environment, frequent use of sensing and integration capabilities may cause certain changes in the impact of marketing capabilities, and in a highly competitive environment, marketing capabilities are positively correlated with company performance. The sample consists of 212 enterprises of China with a three-year vertical data span. The partial least square program Smart-PLS was used for data analysis. The careful management of dynamic capabilities (i.e., relational, sensory, and inclusive) is required to address environmental conditions to achieve capacity alignment and ultimately enhance performance. Our findings demonstrate that relationship capabilities are valuable to the organization and might even help improve its sensing and integrating capabilities. In a highly competitive environment, marketing capabilities contribute the most to company performance. The more frequent the environmental turbulence, the higher the impact of integration capabilities on marketing capabilities. This situation necessitates the organization's usage of dynamic capabilities to modify its marketing approach effectively between stable and turbulent environments.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.21 no.3
• /
• pp.55-66
• /
• 2019

The makeup experience service in a theme park was analyzed for the study on the makeup service using experiential marketing based on recent consumer experience. The results of the study showed that the utilization, marketing effect, and lifestyle in makeup service at the Experiential marketing are analyzed. In other words, according to the variables, the purpose of this study is to the effect on the satisfaction, loyalty, and Intent to revisit. In this study, in order to achieve this, literature research and Empirical study on the same time. In literature review, Theories and previous studies were considered which are about experience marketing, lifestyle, makeup service, loyalty, satisfaction, and the intent to revisit. Then, a research model and a hypothesis were established. In empirical study, Based on this, it was applied to the makeup service in a theme park and verified through analysis methods such as frequency analysis, reliability verification, factor analysis, and structural equation modeling. The results showed that experience marketing and lifestyle had a significant influence on satisfaction, loyalty, and return visit intention. Based on this research, the makeup service using experience marketing would be hopefully more practical as a typical culture content marketing.

• The Journal of Industrial Distribution & Business
• /
• v.12 no.10
• /
• pp.19-30
• /
• 2021

Purpose: Dairy marketing cooperatives operate in the agricultural sector of the Ethiopian economy and are supposed to increase the efficiency of the marketing system. This paper aims to study factors affecting the participation of farm households' in dairy marketing cooperatives. Research design, data, and methodology: The research has focused on one primary question. What are the possible factors that affect farm households' participation in dairy marketing cooperatives? The survey questionnaire was developed and an interview was made using enumerators. A total of 1500 sample households were selected randomly using the method of sampling with probability proportionate to size. Descriptive and inferential statistical analysis (binary logit model) was used for analysis. Results: The study result revealed that among thirteen explanatory variables hypothesized to affect dairy producer farmers' participation in dairy marketing cooperatives; eleven were found to be statistically significant. From these findings, it is observed that members of the dairy cooperatives have significant advantage over nonmembers. Conclusions: Both internal and external intervention measures are suggested. Internally, the cooperatives' board of directors should design appropriate strategies to attract nonmembers to improve future participation, and, externally, government, NGOs, and other stakeholders need to emphasize methods that increase nonmembers' participation in dairy marketing cooperatives.

• The Research Journal of the Costume Culture
• /
• v.29 no.1
• /
• pp.87-102
• /
• 2021

The purpose of this study is to investigate customer satisfaction factors that affect customer loyalty and revisit intention, and the seven factors which comprise the marketing mix that affects customer satisfaction. loyalty, and intention to revisit. The purpose of the project is to propose a research model by testing the mediated effects of customer satisfaction and loyalty using mainly factor analysis, regression analysis, and mediation analysis. First the results showed that the marketing mix 7P factors influence customer satisfaction were identified as service delivery process, product, physical basis, and promotion. The factors that influence marketing mix 7P customer loyalty were tested in the order of service delivery, physical basis, product, and distribution. Second, the factors that affect customer loyalty were artists, service, and prices whereas the factors that affect customer satisfaction were tested in the order of service, artist, cosmetics, and price. Third, the factors affecting customer revisit intention were newly derived as treatment satisfaction, professionalism, and treatment products. Fourth, the relationship between marketing mix and customer revisit intention suggested that customer satisfaction and customer loyalty has a partial sale effect. It can be suggested on the basis of these findings that the effect of makeup service with marketing mix on customer revisit intention was analyzed and a new model was derived by analyzing the mediated effect of customer satisfaction and customer loyalty.