• Title/Summary/Keyword: marketing factors

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A Study on Burger King The Growth Mechanism: Toward The Dynamism of Corporate Success and Failure (기업성패 동태적 모형에 따른 버거킹 성장 매커니즘에 관한 연구)

  • Lee, Choong-Woo
    • The Korean Journal of Franchise Management
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    • v.5 no.2
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    • pp.51-67
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    • 2014
  • Looking at the case of countries or companies, the success and failure can be found a certain repetitive 'Pattern'. In this paper, global franchise company factors determine the success or failure of the Burger King on the market dynamism perspective, and looked to discuss its implications. The success or failure of a company in a country like pattern of the growth and erosion and stagnation and decline, and the pursuit of sustainable growth through relentless improvement reactivated. Burger King has more to strengthen brand equity oriented by the world's best restaurant through the development of aggressive marketing activities in the global market to regain its former glory.

Market Segmentation Based on Types of Motivations to Visit Coffee Shops (커피전문점 방문동기유형에 따른 시장세분화)

  • Lee, Yong-Sook;Kim, Eun-Jung;Park, Heung-Jin
    • The Korean Journal of Franchise Management
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    • v.7 no.1
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    • pp.21-29
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    • 2016
  • Purpose - The primary purpose of this study is to employ effective marketing methods using market segmentation of coffee shops by determining how motivations to visit coffee shops have different impacts on demographic profile of visitors and characteristics of coffee shop visits, so as to draw out a better understanding of customers of coffee market. Research design, data, and methodology - Data were collected using surveys of self-administered questionnaires toward coffee shop users in Daejeon, Korea. A number of samples used in data analysis were 253 excluding unusable responses. The data were analyzed through frequency, reliability, and factor analysis using SPSS 20.0. Factor analysis was conducted through the principal component analysis and varimax rotation method to derive factors of one or more eigen values. In addition, the cluster analysis, multivariate ANOVA, and cross-tab analysis were used for the market segmentation based on the types of motivation for coffee shop visits. The process of the cluster analysis is as follows. Four clusters were derived through hierarchical clustering, and k-means cluster analysis was then carried out using mean value of the four clusters as the initial seed value. Result - The factor analysis delineated four dimensions of motivation to visit coffee shops: ostentation motivation, hedonic motivation, esthetic motivation, utility motivation. The cluster analysis yielded four clusters: utility and esthetic seekers, hedonic seekers, utility seekers, ostentation seekers. In order to further specify the profile of four clusters, each cluster was cross tabulated with socio-demographics and characteristics of coffee shop visits. Four clusters are significantly different from each other by four types of motivations for coffee shop visits. Conclusions - This study has empirically examined the difference in demographic profile of visitors and characteristics of coffee shop visits by motivation to visit coffee shops. There are significant differences according to age, education background, marital status, occupation and monthly income. In addition, coffee shops use pattern characterization in frequency of visits to coffee shops, relationships with companion, purpose of visit, information sources, brand type, average expense per visit, important elements of selection attribute were significantly different depending on motivations for coffee shop visits.

The Influences of Restaurant Consumers' Electronic Word-of-Mouth(E-WOM) Information Communication on Product Perception Risk, Benefit and WOM Effect

  • Heo, Yeong-Uk
    • The Journal of Economics, Marketing and Management
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    • v.6 no.4
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    • pp.51-64
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    • 2018
  • Purpose - This study is intended to look into the influences of restaurant consumers' e-WOM information communication on product perception risk, benefit and WOM effect. Research design, data, and Methodology - To achieve this, a survey was empirically carried out to 426 restaurant consumers. Results - The findings are as follows. First, the influence of e-WOM on product perception risk showed that WOM information sender characteristics, WOM information recipient characteristics and online community had a statistically significant positive influence on product perception risk. Second, the influence of e-WOM on product risk benefit showed that WOM information sender characteristics, WOM information recipient characteristics and online communication had a statistically significant positive influence on product risk benefit. Third, WOM risk perception had a statistically significant positive influence on WOM acceptance. Fourth, WOM risk benefit had a statistically significant positive influence on WOM effect. Conclusions - As for the above-mentioned findings, the communication between e-WOM sender and recipient had a positive influence on the product evaluation and attitude change in the restaurant industry, and the WOM effect had an influence on the financial performance and non-financial performance. The communication attaches importance to a direct using and tasting experience due to the nature of restaurant industry when it is simultaneously performed as a positive mechanism between sender and recipient through each channel of these factors. But the e-WOM culture can lead to the WOM effect when both sender and recipient share the persuasive communicability in reality that diversifies communication methods, having a positive influence on the management performance.

Comparative research on the preferences and choices of distribution channels depending on the consumption characteristics on fashion consumer - Focused on active Korean and Chinese seniors - (패션 소비자의 유통채널 선호 및 소비 특성에 따른 유통채널 선택에 관한 비교연구 - 한·중 액티브 시니어 비교를 중심으로 -)

  • Sang In Lee;Jihun Yu
    • The Research Journal of the Costume Culture
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    • v.31 no.3
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    • pp.361-378
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    • 2023
  • This research not only determined the preference of fashion brand distribution channels of active Korean and Chinese seniors who became major consumers in the fashion industry, but also analyzed the effect on these preferences and choices of distribution channels depending on personal consumption characteristics and differences between the two groups. Data was collected by a professional survey firm. SPSS 24.0 and AMOS 24.0 were used for empirical analysis, and frequency analysis, multiple response analysis, EFA, reliability analysis, CFA, SEM, and multiple-group comparison analysis were performed. As a result of multiple response analysis, the offline channel was revealed as the preferred fashion distribution channel for active Korean and Chinese seniors; the second most popular was the online channel. The results of multiple-group comparison analysis reveal differences between two groups in seeking emotional consumption via the offline channel; the effect was only evident for active Korean seniors. A difference in seeking emotional consumption via preference for online channel also existed, but only for active Chinese seniors. For these reasons, marketers targeting active Korean seniors will be effective to not only offer brand information by fashion display to let seniors understand the fashion brand, but also to have brand events to form positive emotions toward the fashion brand. Moreover, targeting active Chinese seniors will be necessary to transmit brand sensibility by utilizing metaverse marketing comprising various factors, so that consumers can enjoy the fashion brand.

A Case Study on Price Elasticity Measurement and Identification of Factors Affecting Price Elasticity of a Family Restaurant (샐러드 뷔페형 패밀리 레스토랑의 메뉴별 가격탄력성 분석과 가격탄력성에 미치는 영향 요인에 대한 사례 연구: 서울 소재 1개 매장을 대상으로)

  • Lee, Bong-Shik;Yang, Il-Sun;Shin, Seo-Young;Choi, Mi-Kyung
    • Journal of the Korean Society of Food Culture
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    • v.21 no.3
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    • pp.254-261
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    • 2006
  • The purposes of this study were to measure price elasticities of menu items of a family restaurant, identify differences of price elasticity between subgroups, and provide a comprehensive understanding on price elasticity. 3 menu items of a salad buffet family restaurant in Seoul were selected for analyses, and a questionnaire was developed through literature review and modified after pilot test. The questionnaires for main survey were distributed to 250 customers on their visit to the restaurant, and a total of 139 questionnaires were used for analyses (55.6%). Statistical analyses were conducted using SPSS Win (12.0) for descriptive analyses, t-test, ANOVA, and the main results of this study were as follows. The demands were expected very elastic to the changes in prices of all 3 menu items, and there were significant differences between groups of different company types. In addition, the changes in use were less affected by the changes in menu price when customers were satisfied with each menu item. On the basis of these results, it was concluded that price increases of menu items should be companied by quality improvement of products and services, and differentiated marketing strategy for each segments of customers would be helpful to profitability of the restaurant. Overall, measurement of price elasticity could help to predict customer behaviors on price changes, and give much useful information for managers and marketers of foodservice organizations in development of price strategies.

Current Status and Improvement Strategies for Landscape Plant Production and Demand -A Case Study of Gangwon State- (조경식물의 생산 및 수요 현황과 개선 방안 -강원특별자치도를 사례로-)

  • Min-Jung Choi;Gab-Soo Han;Kwang-Min Ham
    • Journal of Environmental Science International
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    • v.32 no.12
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    • pp.915-923
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    • 2023
  • The purpose of the study is to explore strategies to revitalize the distribution of landscaping plants in Gangwon State (hereinafter referred to as Gangwon-do). To understand the current distribution status and perception of landscape materials in Gangwon-do, a survey was conducted on producers and consumers focusing on cultivation area and method, cultivated species and quantity, purchase species and quantity, and purchase area. Producers often cultivated open land, and in the case of trees and shrubs, most of them cultivated <5 species. On the other hand, consumers preferred field cultivation products when purchasing trees and shrubs. Approximately 6-10 species of trees and shrubs were preferred for a single purchase, confirming an imbalance in the supply and demand of landscaping plants. In addition, both producers and consumers had a positive perception of landscape plant transactions in Gangwon-do; however, the dissatisfaction factors for producers included a small consumer base and difficulties for them in securing standards and quantities. Based on these results, it is necessary to establish a platform that can interconnect producers' landscape plant cultivation information with consumers' requirements to rejuvenate the landscape plant distribution market and enhance competitiveness in Gangwon-do. In addition, this platform is expected to have a positive impact on improving the quality of landscaping plants, setting reasonable prices, and increasing domestic demand in Gangwon-do by providing opportunities for cultivation, promotion, and marketing education through producer support projects.

Diabetes Detection and Forecasting using Machine Learning Approaches: Current State-of-the-art

  • Alwalid Alhashem;Aiman Abdulbaset ;Faisal Almudarra ;Hazzaa Alshareef ;Mshari Alqasoumi ;Atta-ur Rahman ;Maqsood Mahmud
    • International Journal of Computer Science & Network Security
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    • v.23 no.10
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    • pp.199-208
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    • 2023
  • The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.

Comparative Analysis of Consumer Attitudes and Ethical Purchasing Behavior on RUR Knitted Fashion Products According to Environmental Consciousnessof Female Consumers in Their 30s and 40s (30~40대 여성 소비자의 환경의식에 따른 RUR 니트 패션 제품에 대한 소비자 태도, 윤리적 구매 행동 비교 분석)

  • Sun Jung Yang;Chil Soon Kim
    • Fashion & Textile Research Journal
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    • v.25 no.5
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    • pp.568-577
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    • 2023
  • This study examined how middle-aged female consumers' environmental consciousness influences their attitudes and ethical purchasing behavior toward RUR (recycling, upcycling, and reuse) knit products. The research employs a survey method, targeting 30-40 year old women residing in Seoul and Gyeonggi-do Province. On-line and off-line data collection were conducted. The following conclusions emerged through statistical analyses, including factor analysis, cluster analysis, t-test, and regression analysis. Firstly, respondents' environmental consciousness variables were classified into two factors, delineating high and low environmental consciousness clusters, demonstrating significant differences between them. Secondly, the high environmental consciousness cluster exhibited more positive consumer attitudes and ethical purchasing behavior towards RUR knit products. Moreover, it was established that environmental pollution consciousness and eco-friendly product purchase consciousness influenced environmental consciousness on consumer attitudes and ethical purchasing behavior. Lastly, the study confirmed that consumer attitudes mediated environmental consciousness and ethical purchasing behavior. In conclusion, this research establishes a meaningful link between environmental consciousness, consumer attitudes, and ethical purchasing behavior in 30-40 year old women. Environmentally conscious groups positively influence attitudes toward RUR knitted fashion and promote ethical purchasing behavior. Consequently, it is recommended that knit fashion companies prioritize environmental consciousness and eco-friendly products in their marketing strategies. Furthermore, diversifying the application of RUR knit products, coupled with eco-friendly production techniques, can amplify their appeal and utility, ensuring a positive impact on consumer behavior.

A Study on the Relationship between Brand image, Product liking, Heuristic and Purchase Intention According to Psychological Power

  • Jin-Kwon KIM;Ik-Jun CHO;Tony-DongHui AHN
    • The Journal of Economics, Marketing and Management
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    • v.11 no.5
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    • pp.69-80
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    • 2023
  • Purpose: The purpose of this study is to identify factors that affect decision-making for e-commerce users and to present ecommerce companies with the company's strategic directions for consumer purchases. Research design, data, and methodology: In this study, a structured research model was derived to confirm the relationship between brand image, product liking, heuristic and purchase intention and the difference according to psychological power. For analysis a total of 212 valid questionnaires from e-commerce users were used. confirmatory factor analysis, correlation analysis, and structural equations were conducted to verify. Results: Both brand image and product liking had a significant effect on purchase intention as well as heuristics. However, heuristics did not affect the purchase intention. It was found that the relationship between brand image, product liking, heuristic, and purchase intention differed depending on the psychological power. Conclusions: Companies should seek ways to increase the positive brand image and likability of products so that consumers can quickly purchase products. In the relationship between brand image and heuristic, the low-psychological group has more influence on heuristic, and in case of product liking, the high-psychological group has more influence on heuristic. In the relationship between brand image and product liking for purchase intention, both in the high psychological power group affect more influence on purchase intention. Since the process of purchasing products varies depending on the consumer psychological power tendency, it is necessary to identify the characteristics of consumers and establish strategies for purchasing promotion measures.

A Study on the Determinants of Purchase Intention in Online Shopping Through Augmented Reality Application (증강현실 애플리케이션을 통한 온라인쇼핑에서의 구매의도 결정요인 연구)

  • Su-Ji Moon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.257-266
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    • 2024
  • This study explored the determinants that influence purchase intention in online shopping based on augmented reality applications. The main results are discussed focusing on hypotheses as follows. First, interactivity had a positive effect on psychological ownership. Second, interactivity had a positive effect on decision comfort. Third, psychological ownership had a positive effect on decision comfort. Fourth, psychological ownership had a positive effect on purchase intention. Fifth, decision comfort had a positive effect on purchase intention. Therefore, in online shopping based on augmented reality applications, interaction determines psychological ownership and decision comfort, and psychological ownership and decision comfort can be evaluated as key factors that promote product purchase intention in online shopping. In order to increase purchase intention in online shopping, a marketing strategy is required to increase interactivity, psychological ownership, and decision comfort through augmented reality applications.