• Title/Summary/Keyword: Marketing System

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Analytical Framework for Promoting Customer Participation in Benefit Delay Type Services

  • Cho, Myung-Rae
    • The Journal of Economics, Marketing and Management
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    • v.6 no.1
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    • pp.9-16
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    • 2018
  • Purpose - Benefit delay type services have a characteristic of benefit delay that does not immediately appear at the time of delivery of service. Due to a characteristic of benefit delay, the customer's participation in the service delivery system is hindered, and the quality of service declines. As a result, customer satisfaction would be reduced. The purpose of this study is to construct an analytical framework to analyze a mechanism that promotes customer participation in benefit delay type services. Research design, data, and Methodology - Existing research has considered only the performance of service companies to enhance the quality of service and customer satisfaction. This study focused on customer participation as a factor affecting the quality of service and customer satisfaction and attempted to construct an analytical framework based on a theoretical perspective of motivational research. Results - By adopting the motivation theory, this research derived three concepts, the possibility of gaining benefits, the emotional experience, and the desire of benefit. And motivation is created when the three factors interact with each other. Conclusions - This paper has constructed an analytical framework for analyzing factors that promote customer participation in the benefit delay service and finally has proposed case study for further research.

The Effects of Consumer Innovation, Price Sensitivity, Conformity, and Consumer Values on Consumer Attitudes and Intentions to Participate in the Crowdfunding of Fashion Products (소비자 혁신성, 가격민감도, 동조 성향, 소비자 가치가 패션제품의 크라우드펀딩에 대한 소비자 태도 및 펀딩참여의도에 미치는 영향)

  • Jae Hee Kim;Nalae Kim;Yoon-Jung Lee
    • Human Ecology Research
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    • v.61 no.3
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    • pp.281-295
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    • 2023
  • This study examined consumer attitudes and intentions to participate in reward-based crowdfunding projects for fashion products. We focused on consumer innovation, price sensitivity, conformity, and consumer values as factors that might influence such attitudes and intentions. A survey was conducted with 228 individuals aged 18 years and older who are aware of or have had experience using crowdfunding. Respondents were asked to answer questions based on the example of actual fashion crowdfunding projects. To analyze the data, reliability tests, the generation of descriptive statistics, factor analysis, and multiple regression were performed using SPSS 25.0. The results revealed that consumer innovativeness, non-conforming tendency, and emotional, quality, social, and ethnical consumer values had a significant influence on attitudes, which in turn affected intentions to participate in crowdfunding. Consumer innovativeness, price sensitivity, emotional value, and social value also had a direct influence on intentions to participate. In addition to its academic contribution, this study has important marketing implications for project initiators striving to identify and understand consumers who are willing to participate in reward-based crowdfunding for fashion products.

A Study on Technology Commercialization of Indoor Floor Advertising Lighting Devices Applicable to Advertisements and Disaster Situations (광고 및 재난상황에 적용 가능한 실내용 바닥광고 조명장치의 기술사업화 방안 연구)

  • Kwang-Soo Kim;Woon-Seek Lee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.3
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    • pp.32-40
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    • 2023
  • Recently, there are some outdoor floor advertising lighting devices as one of the active marketing methods. However, for outdoor use, there are many restrictions due to the Outdoor Advertisement Act, according to requiring high-output heat generation, waterproofing, and AC power, etc. The purpose of this study is to develop a Duo Light product optimized for indoor use through publicity and information guidance in normal times and automatic evacuation route guidance display in case of disaster, in conjunction with disaster safety. To that end, patent search and patent association analyses were conducted, and a comparative analysis with commercial products was conducted as a case study. In addition, prototypes were designed and produced through the review of operation principles, where field environment surveys and self-tests were conducted. Also, technology roadmaps were presented by preparing plans for expandability and advancement of products. For the analysis of technology commercialization, the feasibility of technology commercialization was examined through the analysis of Jolly's Model and Lean Canvas Model. The results of this study will be able to contribute to minimize human damage through the effective response to disasters, which can increase the effect of indoor advertising by using the proposed indoor floor advertising lighting device in advertising and disaster situations.

Two-Stage Deep Learning Based Algorithm for Cosmetic Object Recognition (화장품 물체 인식을 위한 Two-Stage 딥러닝 기반 알고리즘)

  • Jongmin Kim;Daeho Seo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.4
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    • pp.101-106
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    • 2023
  • With the recent surge in YouTube usage, there has been a proliferation of user-generated videos where individuals evaluate cosmetics. Consequently, many companies are increasingly utilizing evaluation videos for their product marketing and market research. However, a notable drawback is the manual classification of these product review videos incurring significant costs and time. Therefore, this paper proposes a deep learning-based cosmetics search algorithm to automate this task. The algorithm consists of two networks: One for detecting candidates in images using shape features such as circles, rectangles, etc and Another for filtering and categorizing these candidates. The reason for choosing a Two-Stage architecture over One-Stage is that, in videos containing background scenes, it is more robust to first detect cosmetic candidates before classifying them as specific objects. Although Two-Stage structures are generally known to outperform One-Stage structures in terms of model architecture, this study opts for Two-Stage to address issues related to the acquisition of training and validation data that arise when using One-Stage. Acquiring data for the algorithm that detects cosmetic candidates based on shape and the algorithm that classifies candidates into specific objects is cost-effective, ensuring the overall robustness of the algorithm.

Planning Directions of Community Facilities Integrating Generations based on Local Communities

  • Jae Hee CHUNG;Ji Min KIM;Su Jin LEE;Sung Ze YI
    • The Journal of Economics, Marketing and Management
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    • v.12 no.1
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    • pp.39-51
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    • 2024
  • Purpose: This study aims to derive planning directions of community facilities integrating generations based on local communities to promote sustainable intergenerational exchange by analyzing the spatial configuration and programs of domestic and foreign generation-integrated community facilities based on local communities. Research design, data and methodology: Through theoretical consideration, the concept of intergenerational integration, types of intergenerational exchange, and spatial arrangement types were identified. Then, case study analysis of domestic and foreign community facilities with well-planned intergenerational exchange spaces and programs were conducted to identify intergenerational integration, and to derive community facility planning direction. Results: The results of this research are as follows. First, in terms of humanware, in order to revitalize continuous exchange between the 1st, 2nd, and 3rd generations, a systematic support system is needed to build mutual trust through voluntary participation by each generation. Second, it is important to provide a variety of shared spaces while maintaining the uniqueness of each facility from a hardware perspective, and must be planned in such a way that selective interaction takes place with privacy and interaction in mind. Third, in terms of software, programs that meet the characteristics of each user must be provided. Conclusions: It is expected that the results of this research can be used as basic data for planning community facilities that integrate generations based on local communities, contributing to the search for sustainable ways to revitalize intergenerational exchange in the future.

Analyzing the Determinants of Online Seafood Purchasing Using Heckman's Ordered Probit Sample-Selection Model (Heckman 순서형 프로빗 모형을 이용한 소비자의 온라인 수산물 구매 결정요인 분석)

  • Heon-Dong Lee
    • The Journal of Fisheries Business Administration
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    • v.55 no.1
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    • pp.37-53
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    • 2024
  • In the post-COVID-19, the food industry is rapidly reshaping its market structure toward online distribution. Rapid delivery system driven by large distribution platforms has ushered in an era of online distribution of fresh seafood that was previously limited. This study surveyed 1,000 consumers nationwide to determine their online seafood purchasing behaviors. The research methodology used factor analysis of consumer lifestyle and Heckman's ordered probit sample-selection model. The main results of the analysis are as follows. First, quality, freshness, selling price, product reviews from other buyers, and convenience are particularly important considerations when consumers purchase seafood from online shopping. Second, online retailers and the government must prepare measures to expand seafood consumption by considering household characteristics and consumer lifestyles. Third, it was analyzed that consumers trust the quality and safety of seafood distributed online platforms. It is not possible to provide purchase incentives to consumers who consider value consumption important, so improvement measures are needed. The results of this study are expected to provide implications on consumer preferences to online platforms, seafood companies, and producers, and can be used to establish future marketing strategies.

Towards Indonesia's Future: Embracing Mobile Money Distribution with the Technology Acceptance Model Approach

  • Ricardo INDRA
    • Journal of Distribution Science
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    • v.22 no.7
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    • pp.43-51
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    • 2024
  • Purpose: The primary purpose of this study is to examine the influence of the Technology Acceptance Model (TAM) on the use of mobile money in Indonesia. The acceptance of technology has brought changes to society where the application of technology is aimed at identifying the best solution among the various existing alternatives. There are two types of electronic money: chip-based and server-based electronic money. Server-based electronic money is found on mobile phones. The Indonesian government has encouraged the use of electronic money and launched Less Cash Society to create a secure, efficient, and smooth payment system. Research design, data, and methodology: This study collected quantitative data from users of server-based electronic money through surveys conducted based on the sample size. The data were processed using SEM LISREL 8.70. Results: the results show that each of the TAM's fundamental elements has a significant impact. Perceived ease of use and perceived usefulness are able to encourage attitude toward using and behavioral intention to use towards actual use. Conclusions: The distribution of mobile money has a positive impact on society. Hence, mobile money providers must simplify access-recommendations made to strengthen the acceptance of mobile money via Perceived Ease of Use and Perceived Usefulness.

A Study on Milk Market Demand using LA/AIDS (수요시스템(LA/AIDS)을 이용한 우유 시장 수요 분석: 농촌진흥청 소비자 패널자료를 중심으로)

  • Min Ju Lee;Yeong Sin Jin;Kun A Kim
    • Journal of Practical Agriculture & Fisheries Research
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    • v.26 no.1
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    • pp.40-48
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    • 2024
  • This study judged that although milk with various properties is currently being released, the growth rate of the milk market has not changed significantly, and the reason for this is that a substitution relationship has been formed between existing white milk and milk with various properties and they are competing with each other. The purpose of this study was to provide implications for the future growth of the milk market by identifying the relationship between diversified milk attributes. As a research method for this purpose the own price elasticity, cross-price elasticity, and expenditure elasticity of each attribute were derived through the LA/AIDS demand system model, and an analysis of consumers' milk purchasing factors was conducted through factor analysis. Based on the analysis results, it presented implications for growth in the milk market, such as expanding products with great differentiation in attributes such as flavor, plant and lactose-free properties, establishment of marketing strategies targeting consumers with children, and expansion of online malls.

Research on features of eco-friendly fashion products for the development of typology of eco-friendly fashion products (친환경 패션제품 유형분류체계 개발을 위한 친환경 패션제품 특성 연구)

  • Eunah Yoh
    • The Research Journal of the Costume Culture
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    • v.32 no.1
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    • pp.86-107
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    • 2024
  • Although interest in eco-friendly fashion products is increasing among scholars and industry leaders, the concept of eco-friendly products remains unclear, preventing consistent assessment of which fashion products are eco-friendly. This study conducted a content analysis of eco-friendly product information from 87 domestic and 102 foreign brands to reveal key standards for categorizing eco-friendly fashion products. Product characteristic information was coded according to the four material-based standards (i.e., organic material, regenerative material, alternative material, and sustainably produced/upcycled material). Consistency between coders was confirmed by Cohen's kappa. In results, eco-friendly fashion products are categorized by four material-based standards and two certification standards (i.e., certified, not certified). Among the four material-based categories, the greatest number of domestic and foreign companies produced eco-friendly products that were classified as the regenerative material group. In addition, companies acquired eco-friendly certifications related to the use of organic, regenerative, and alternative materials. The greatest number of eco-friendly material brands used for eco-friendly fashion products belonged to the regenerative material group. Based on the study results, a typology of eco-friendly products was suggested. This typology can benefit practitioners and academics by highlighting a need for classification system for the eco-friendly fashion products, as well as by providing insight into the categorization of eco-friendly fashion products.

Technology Acceptance Model for Direct-to-Consumer Genetic Testing Service (소비자대상직접시행 유전자검사서비스의 기술수용모델)

  • Hyunjin Choi;Daecheol Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.47 no.3
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    • pp.191-201
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    • 2024
  • The purpose of this study is to identify factors that influence consumers' acceptance intentions towards Direct-to-Consumer (DTC) Genetic Testing service. DTC genetic testing service can be considered in two aspects: the application of new technology in genetic testing customers can directly purchase and the services for receiving the test results customer can't directly analyze. Existing technology-based acceptance models have difficulty fully explaining consumers' acceptance intentions towards DTC genetic testing services. Therefore, this study aims to propose a new acceptance model considering these two characteristics. A survey was conducted with 377 potential consumers for this research. The analysis revealed that health interest, prior knowledge, subjective norms, innovativeness, perceived usefulness, and perceived value affect consumers' acceptance intentions. The results obtained through this study can help establish strategies and marketing plans necessary for the diffusion of services, such as DTC genetic testing services, that combine a new technology and a service. In the long term, the accumulated DTC genetic testing results data can contribute to the development of national genetic information infrastructure and preventive medical applications, as well as improve individuals' quality of life.