• Title/Summary/Keyword: Purchase Decision Factors

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A Searching Product Design Cognizance System on Consumers (소비자 제품디자인 인식체계의 규명)

  • 신택균
    • Archives of design research
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    • v.11
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    • pp.62-68
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    • 1995
  • ------Recently. as the level of common consumer thoughts of design has been highly developed. and the design oriented attitude of consumers. and it's research of behavior. are studied widely in business administration field. Accordingly the study of design has been endeavor to be studied bilaterlly by with related study like marketing as to secure the co-operative results and or conclusions which explain the consumer behaviors of product purchasing. This study is one of the conceptional trials steps which get in touch of design cognizance theoretically in design field. Main cotents are. A) The design oriented multi-attribute attitude factors regarding to consumer decision making. B) The design factors which give influences on purchasing products. C) The particularity of design factors is to be make on design cognizance. For these purpose, this study. above all. tries to survey the circumstance of design cognizance and the processing system of organizing design information. Finally "The product design cognizance system on consumers is represented hereinafter.fter.

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A Research of Purchasing Behavior on Sauce Product & The Credibility of Mess Media Advertisement - The Residential Women Consumer in Busan - (부산 지역 여성 소비자의 소스 제품 구매 현황 및 광고매체 유형의 신뢰도 조사)

  • Kim, Jong-Hoon;Seo, Kyung-Mi
    • Culinary science and hospitality research
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    • v.13 no.1 s.32
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    • pp.87-98
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    • 2007
  • The purpose of this study was to understand purchasing behavior on sauce products and the credibility of advertisement in Busan. For the study, 240 of samples taking cooking courses at welfare centers and private institutes were selected. The questionnaire consisted of demographic characteristics, the practical situation of purchasing sauce products, and the credibility of mess media advertisements. 260 questionnaires were distributed, among which 240 were returned and 233 were used for statistical analysis. The result of the study was as followed. Considering the practical situation of purchasing, the samples took information about sauce products from discount markets, and TV advertisements. Purchasing sauce products was done by themselves, and the main reason that they didn't purchase was health. Seeing the credibility of mess media advertisements, they trusted "The recommendation of a familiar person" most, department stores were the second highest, and TV advertisement was the third. The statistical differences partly existed depending on demographic characteristics: job, and material status. Identifying the decision making factors on sauce products was needed as further study.

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Study on the Preferred Store Type and Store Choice Properties of Clothing Shopping Consumers Based on the AHP Method (AHP 기법을 이용한 의류쇼핑 소비자의 선호점포 유형과 점포선택 속성에 관한 연구)

  • Park, Jin-Je;Lee, Jin-Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.2
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    • pp.138-151
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    • 2012
  • This study determines a consumer retail store choice by applying the Analytic Hierarchy Process (AHP) method for multi-criteria decision-making in the fashion retail industry. The study provides detailed and relevant information for management, marketers of fashion retail stores, and to improve competition between suppliers. Data was collected in February 2011 from questionnaires completed by 319 university students in Busan, South Korea. One of the major findings of this study was that consumer store preference was affected by the following factors in order of importance: product, image, service quality, and purchase facilitation. Brand image was assessed to be the most important of the evaluation elements, followed by individuality, style, and price. The results of rating the relative importance and priority of fashion retailers showed that department stores ranked most highly, followed by outlet malls, Internet shopping malls, brand malls, and discount stores.

The Self-Control Strategies of Married Women to Restrain their Buying Impulse (기혼 여성의 구매충동 제어전략 사용과 관련변인 연구)

  • Song, In-Sook;Yang, Deok-Soon
    • Journal of the Korean Home Economics Association
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    • v.44 no.12
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    • pp.65-78
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    • 2006
  • It is very important for consumers to control their buying impulse the modem market environments because of the enormous marketing pressure to induce consumers to buy. In this context, we investigated (i) the relevant factors to construct the strategies for restraining buying impulse, (ii) the frequency with which the strategies are used, and (iii) the variables related to the strategies. Data were gathered through an internet survey(azoomma.com) and total 626 cases were analysed. Self-control strategies prior to the buying impulse comprise four categories: restricting the means of payment and transportation, avoiding shopping stimulus, no-wandering around a shop, and planning a purchase. Self-control strategies after the buying impulse comprise five categories: normative assesment of impulse buying, reconsidering economic condition, postponing purchasing decision, distrusting marketing activities, and partially satisfying buying impulse. Most of married women use these strategies very often, and some psychological variables are more related with them than demographic variables. Based on findings some implications for consumer education are also discussed.

A Statistical Approach to Screening Product Design Variables for Modeling Product Usability (사용편의성에 영향을 미치는 제품 설계 변수의 통계적 선별 방법)

  • Kim, Jong-Seo;Han, Seong-Ho
    • Journal of the Ergonomics Society of Korea
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    • v.19 no.3
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    • pp.23-37
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    • 2000
  • Usability is one of the most important factors that affect customers' decision to purchase a product. Several studies have been conducted to model the relationship between the product design variables and the product usability. Since there could be hundreds of design variables to be considered in the model, a variable screening method is required. Traditional variable screening methods are based on expert opinions (Expert screening) in most Kansei engineering studies. Suggested in this study are statistical methods for screening important design variables by using the principal component regression(PCR), cluster analysis, and partial least squares(PLS) method. Product variables with high effect (PCR screening and PLS screening) or representative variables (Cluster screening) can be used to model the usability. Proposed variable screening methods are used to model the usability for 36 audio/visual products. The three analysis methods (PCR, Cluster, and PLS) show better model performance than the Expert screening in terms of $R^2$, the number of variables in the model, and PRESS. It is expected that these methods can be used for screening the product design variables efficiently.

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Apparel Purchasing Behavior of Cable TV Home-Shopping Viewers (케이블TV 홈쇼핑 시청자의 의복 구매행동)

  • Ku, Yang-Suk;Kim, Ju-Young
    • Fashion & Textile Research Journal
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    • v.1 no.3
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    • pp.231-238
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    • 1999
  • The purpose of this study was to identify characteristics and consumer attitude on purchasing apparel of Cable TV home-shopping viewer: A questionnaire was developed to measure watching attributes, consumers' attitude and actual purchasing condition of Cable TV home shopping, and demographic variables. The questionnaire was administered to 277 adult, and the data were analyzed by using frequency; crosstab, t-test, ANOVA. The results of this study were as follows: 1. main view time were 3~5 p.m. 11 p.m, 10~12 a.m. home shopping through Cable Tv. Women's main terms were afternoon, whereas men's main terms were night. Chiefly view program was about apparel and fashion items. The reason why they watched the home-shopping channel was to purchase more cheaper items. 2. Favor about Cable TV home-shopping was relatively affirmative, but purchasing intention through home-shopping was still negative. But affirmative response was gradually increasing a few years ago. 3. Purchasing experience through Cable TV home shopping was 61.0% and clothing purchaser within recently 6 months was 28.5% of total sample. Withspreading Cable TV widely; Cable TV home shopper was gradually increasing. Heavy purchasing items through Cable TV home-shopping were under-wear; muffler, shawl, because those items are standardized in size and style. When home shopping user made purchasing decision, the most significant factors were color; and size (fit), price in order of importance.

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Forecasting performance and determinants of household expenditure on fruits and vegetables using an artificial neural network model

  • Kim, Kyoung Jin;Mun, Hong Sung;Chang, Jae Bong
    • Korean Journal of Agricultural Science
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    • v.47 no.4
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    • pp.769-782
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    • 2020
  • Interest in fruit and vegetables has increased due to changes in consumer consumption patterns, socioeconomic status, and family structure. This study determined the factors influencing the demand for fruit and vegetables (strawberries, paprika, tomatoes and cherry tomatoes) using a panel of Rural Development Administration household-level purchases from 2010 to 2018 and compared the ability to the prediction performance. An artificial neural network model was constructed, linking household characteristics with final food expenditure. Comparing the analysis results of the artificial neural network with the results of the panel model showed that the artificial neural network accurately predicted the pattern of the consumer panel data rather than the fixed effect model. In addition, the prediction for strawberries was found to be heavily affected by the number of families, retail places and income, while the prediction for paprika was largely affected by income, age and retail conditions. In the case of the prediction for tomatoes, they were greatly affected by age, income and place of purchase, and the prediction for cherry tomatoes was found to be affected by age, number of families and retail conditions. Therefore, a more accurate analysis of the consumer consumption pattern was possible through the artificial neural network model, which could be used as basic data for decision making.

A Fuzzy Analytic Hierarchy Process (FAHP) Based on SERVQUAL for Hotel Service Quality Management: Evidence from Vietnam

  • NGUYEN, Phi-Hung
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.1101-1109
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    • 2021
  • Nowadays, quality affects product or service performance and customer loyalty in the competitive business' environment. This is truly important when it comes to how the customer interprets the service's satisfaction and the judgment of the purchase process as a whole, in view of the fact that service quality is an abstract and elusive construction due to the three characteristics of services: intangibility, heterogeneity, and inseparability of output and consumption. The main purpose of this paper is to determine the hotel service quality using the Fuzzy Analytic Hierarchy Process (FAHP) and SERVQUAL method. In this study, a five-star hotel's real case is considered in evaluating the service quality criteria. The results revealed that Tangibles and Assurance are the most critical service quality criteria in the hotel industry. Accurate records, service consistency, Necessary arrangements for disabled people, Service flexibility to guests' demands, and Providing the services at the time it promises are the most influencing sub-criteria of service quality. These findings indicate that hotels should concentrate on sequentially and organized priority factors to enhance service quality. This method of service quality assessment may also aid in distinguishing between hotels. Finally, as a future direction, more additional parameters can be used as a potential guide in our proposed model for the dynamic decision-making approach.

Customer Value Proposition Methodology Using Text Mining of Online Customer Reviews (온라인 고객 리뷰에 대한 텍스트마이닝을 활용한 고객가치제안 방법)

  • Han, Young-Kyung;Kim, Chul-Min;Park, Kwang-Ho
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.4
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    • pp.85-97
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    • 2021
  • Online consumer activities have increased considerably since the COVID-19 outbreak. For the products and services which have an impact on everyday life, online reviews and recommendations can play a significant role in consumer decision-making processes. Thus, to better serve their customers, online firms are required to build online-centric marketing strategies. Especially, it is essential to define core value of customers based on the online customer reviews and to propose these values to their customers. This study discovers specific perceived values of customers in regard to a certain product and service, using online customer reviews and proposes a customer value proposition methodology which enables online firms to develop more effective marketing strategies. In order to discover customers value, the methodology employs a text-mining technology, which combines a sentiment analysis and topic modeling. By the methodology, customer emotions and value factors can be more clearly defined. It is expected that online firms can better identify value elements of their respective customers, provide appropriate value propositions, and thus gain sustainable competitive advantage.

Convergence approach to weight control behavior and online clothing product shopping (체중조절행동과 온라인의류쇼핑에 대한 융합적 접근)

  • Kim, Wha-Sun;Lee, Kyu-Hye
    • Journal of Digital Convergence
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    • v.13 no.7
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    • pp.79-88
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    • 2015
  • This study focused on the idea that consumers who are dissatisfied with their body form tend to be more interested in weight control behavior. This research connects this relationship with consumers' risk perception on the internet and consequent decision hesitation behavior. Empirical results extracted three factors of weight control behavior: diet, physical treatment, and medication and exercise. Weight control behavior was different by gender but not by age. Consumers who were dissatisfied with their body form were likely to do exercise, but other types of dissatisfaction (weight dissatisfaction and height dissatisfaction) were not significantly related to weight control behavior. Weight dissatisfaction influenced perceived size risk significantly when shopping online. Diet, physical treatment, and medication had significant influence on perceived size risk when shopping online. Perceived size risk had significant influence on decision delay and offline switch behavior. This study took a convergence approach, which connects consumer characteristics with online shopping behavior.