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Effects of Preferences for Foreign Product and Extrinsic Cues on the Perceived Quality and Customer's Loyalty : Focused on Products of Multinational Corporations (외산제품선호경향 및 외재적 단서가 지각된 품질과 고객충성도에 미치는 영향 : 다국적기업 제품을 중심으로)

  • Hong, Song-Hon
    • International Commerce and Information Review
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    • v.12 no.2
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    • pp.357-381
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    • 2010
  • The purpose of this paper is to investigate the effects of consumer's preferences for foreign products and extrinsic cues such as brand, country of origin, and corporate reputation on the consumer's evaluation which includes the construct of perceived quality, and loyalty. In addition, this paper is aimed to provide Korean firms insights in strategic approaches about foreign consumers behavior. A conceptual model is developed and empirically tested against a sample of university students in Korea, who have buying experience of products from multinational firms. 290 samples were used for this analysis. Results of multiple regression analysis using SPSS 18.0 show that consumer's preferences for foreign products, brand awareness, and corporate reputation have a significant effect on the perceived quality of the product from multinational firms. The most important factor to influence the perceived quality was found to be a corporate reputation. But country of origin had not significant effect. Also it is found that both product and product related service quality are positive and statistically significant in explaining the customer's loyalty. Implications for increasing perceived quality and customer's loyalty for Korean products in the global market are discussed.

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Sensibility Preference of Eco-Friendly Fabric Products and Trust Reliability (친환경 섬유의류 제품의 감성 선호도와 신뢰도 조사 연구)

  • Na, Young-Joo;Kim, Hyo-Won
    • Fashion & Textile Research Journal
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    • v.14 no.3
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    • pp.430-437
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    • 2012
  • This study analyzed the sensibility of eco-friendly fabrics for college students and investigated their attitude on environmental problems, trust reliability onto eco-apparel products, and their purchase state. We tested 6 eco-friendly fabrics (recycled polyester, organic cotton, green tea, charcoal, bamboo, and nettle) through a survey using the Likert scale of 12 polar sensibility words. Most fabrics showed feelings that were smooth, natural, female, and country these were followed by fashion, cheap, functional, sustainable, warm, and vintage. In addition, nettle fabric showed 'rough' feeling, and recycled polyester fabric showed an 'artificial' feeling. Correspondence analysis showed the distance and direction between fabric types and sensibility words with a 2D diagram where the X axis was named with 'Soft <-> Hard' and Y axis was with 'Environmental <-> Manmade' to represent the relationship between fabric types and the sensibility words. According to the results of the multiple regression analysis, the cognition level of the consumer for environmental problems was found to be the most influential variable on the loyalty purchase of eco-friendly products; however, the trust reliability level of consumer onto eco-friendly apparel products was found to be the most influential variable on the conditional purchase of eco-friendly apparel products.

Adolescents′ Attitude Toward and Purchasing Behavior for the Imported Luxuries and the Famous Brand Clothing as Determined by Conspicuous Consumption (청소년의 과시소비성향에 따른 수입명품 및 유명브랜드 의류제품에 대한 태도 및 구매행동)

  • 조은아;김미숙
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.1
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    • pp.76-87
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    • 2004
  • The purpose of this study was to investigate the differences in adolescents' conspicuous consumption, and their attitude toward and purchasing behaviors for the imported luxuries and the famous brand clothing. A questionnaire survey was conducted to 570 high school students in Seoul; 538 were used for final data analysis. Factor analysis, cluster analysis, $\chi$$^2$-analysis, one-way ANOVA, Duncan's Multiple Range test were used for the statistical analyses. In terms of conspicuous consumption, three factors were formulated: brand and fashion orientation, others orientations, and prize and import orientation. Based on the factor scores, three clusters were identified: the inconspicuous, the others-oriented conspicuous, and the brand-oriented conspicuous. Regarding attitudes toward the products, significant differences were found in all attitudes. The brand-oriented conspicuous showed more favorable attitude toward the products than the other groups. Significant differences were also found in purchasing behaviors except the companions for shopping and purchase time. The brand-oriented conspicuous tended to purchase more, spend more money, prefer department stores, consider brand name and customer service as the most important criteria, and use impersonal informations sources when shopping the products. The other-oriented conspicuous tended to buy bogus products the most, use personal information and consider price and others' perception as important criteria. The inconspicuous were less likely to buy and spend money for the products.

Applying Keyword Analysis to Predicting Agriculture Product Price Index: The Case of the Chinese Farming Market

  • Wang, Zhi-yuan;Kwon, Ohbyung;Liu, Fan
    • Asia Pacific Journal of Business Review
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    • v.1 no.1
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    • pp.1-22
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    • 2016
  • The prediction of prices of agricultural products in the agriculture IT sector plays a significant role in the economic life of consumers and anyone engaged in agricultural business, and as these prices fluctuate more often than do other prices, the prediction of these prices holds a great deal of research promise. For this reason, academic literature has provided studies on the factors influencing the prices of agricultural products and the price index. However, as these factors vary, they are difficult to predict, resulting in the challenge of acquiring quantitative data. China is one example of a country without a reliable prediction system for prices of agricultural products. Fortunately, disclosed heterogeneous data can be found on the Internet, which allows for the effective collection of factors related to the prediction of these product prices through the use of text mining. The data provided online is valuable in that they reflect the opinions of the general public in real-time. Accordingly, this study aims to use heterogeneous data from the Internet and suggest a model predicting the prices of agricultural products before functional analyses. Toward this end, data analyses were conducted on the Chinese agricultural products market, one of the largest markets in the world.

An objective study on the impact of emotional elements of motion graphics on the brand preference in websites of TV products (TV 제품의 웹사이트에서 동영상의 감성요소가 브랜드 선호도에 미치는 영향력에 관한 실증적 연구)

  • Kim, Young Seak
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.4
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    • pp.189-199
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    • 2013
  • The goal of this study was to contemplate the impact of emotional elements of motion graphics on the brand preference in websites of TV products. To attain the goal, the emotional elements of motion graphics in websites of TV products, i.e., color, graphic image, typography, and layout, were set as independent variables and the brand preference as a dependent variable. The variables were analyzed objectively. Samples were collected from selected design students attending technical colleges. Among 282 samples collected, 15 were discarded as unfeasible and the remaining 267 were used in the analysis. Statistical analysis techniques used in the study included factor analysis, reliability analysis, correlation analysis, and multiple regression analysis; and 'SPSS Win. 11.5' was used to perform the statistical analysis. From the analysis, the following two results were obtained. First, it appeared that emotional elements of motion graphics appeared in websites of TV products exerted statistically significant impacts on the brand preference. Second, the element exerting the most significant impact on the brand preference among the emotional elements were appeared as 'graphic image' and 'color'. Thus, it was concluded that it is necessary to give priority in 'graphic image' and 'color' to enhance the brand preference.

Site-Specific Error-Cross Correlation-Informed Quadruple Collocation Approach for Improved Global Precipitation Estimates

  • Alcantara, Angelika;Ahn Kuk-Hyun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.180-180
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    • 2023
  • To improve global risk management, understanding the characteristics and distribution of precipitation is crucial. However, obtaining spatially and temporally resolved climatic data remains challenging due to sparse gauge observations and limited data availability, despite the use of satellite and reanalysis products. To address this challenge, merging available precipitation products has been introduced to generate spatially and temporally reliable data by taking advantage of the strength of the individual products. However, most of the existing studies utilize all the available products without considering the varying performances of each dataset in different regions. Comprehensively considering the relative contributions of each parent dataset is necessary since their contributions may vary significantly and utilizing all the available datasets for data merging may lead to significant data redundancy issues. Hence, for this study, we introduce a site-specific precipitation merging method that utilizes the Quadruple Collocation (QC) approach, which acknowledges the existence of error-cross correlation between the parent datasets, to create a high-resolution global daily precipitation data from 2001-2020. The performance of multiple gridded precipitation products are first evaluated per region to determine the best combination of quadruplets to be utilized in estimating the error variances through the QC approach and computation of merging weights. The merged precipitation is then computed by adding the precipitation from each dataset in the quadruplet multiplied by each respective merging weight. Our results show that our approach holds promise for generating reliable global precipitation data for data-scarce regions lacking spatially and temporally resolved precipitation data.

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Multichannel Strategies: A Case Study of the Korean Musical Myeongdong Romance

  • AHN, Sung-sook;PARK, Yoon-joo
    • Journal of Distribution Science
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    • v.20 no.1
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    • pp.109-114
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    • 2022
  • Purpose: The purpose of this study is to confirm that multichannel distribution strategies may be used for cultural and artistic products such as musicals, just as for general consumer goods, through a case study on the distribution strategy for a musical title. In addition, a distribution strategy for cultural and artistic products is proposed based on the analysis of the case. Research design, data, and methodology: Qualitative research methods, such as case study research and in-depth interviews, were used in this study. Results: The case study of the Korean musical Myeongdong Romance confirmed that multichannel distribution strategies may be used for musicals, including performances at theaters, Naver TV screenings (a service linked to an Internet portal), LGU+ screenings (an IPTV and OTT media service), DVD releases, and screenings of recordings of Romance Hall performances. Conclusion: For cultural and artistic products such as musicals, distribution channels can be diversified to incorporate the simultaneous use of multiple channels. New cases involving other cultural and artistic products and services to which this distribution strategy is applicable may be identified, and the strategy may be implemented along with new technologies to reduce costs further.

Development of Control Method for Self-Driving Roller Conveyor Based on 3D Simulation (자체 구동 롤러 컨베이어의 3차원 시뮬레이션 기반 제어 기법 개발)

  • Seokwon Lee;Byungmin Kim;Heon Huh
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.861-864
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    • 2024
  • The self-driving roller conveyor system, which transports target products by controlling multiple rollers with a motor, is a logistics system suitable for branching and joining logistics and controlling the alignment of target products, and its utilization is increasing, especially in the food manufacturing process. In this paper, we build a simulation environment using Unity software based on 3D graphic modeling of a self-driving roller conveyor system. In a situation where target products are supplied irregularly in terms of time, a method is proposed that can align products to maintain constant spacing by controlling the rollers. Simulation results show that effective alignment of products is possible by controlling the motor that drives the roller based on sensor data of the product position.

SYNCHRONIZING INDIVIDUALLY OPTIMAL CYCLE TIMES ACROSS MULITI-BUYERS AND MULTI-PRODUCTS

  • Lee, Chang-Hwan
    • Management Science and Financial Engineering
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    • v.4 no.2
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    • pp.15-42
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    • 1998
  • A joint problem of order delivery, setup reduction, and cost-sharing in a two-echelon inventory system in which a vendor supplies multiple products to a group of buyers is studied here. The basic premise is that buyers have independently implemented setup reduction programs to acquire benefits from small order sizes. Doing so, however, causes the buyers' individually optimal order cycles to be differ from that of the vendor. In conjunction with this, two models are considered. In the first model, a multi-buyers single product situation is considered in which the vendor implements a joint supply cycle policy. However, buyers, as the dominant party, insist after implementing the individually optimal setup reduction that the vendor accept their individually optimal order schedules. In the second model. a multi-products, single buyer situation is considered in which the buyer implements a joint order policy. Here, the vendor, as the dominant party, refuses to cooperate fully with the buyer's individually reduced joint order schedule, and designs his own individually optimal setup reduction mix for each product under a given budget constraint. This led to a study of an integrated Setup Reduction/Break-even Pricing Policy for each situation to eliminate mismatches in individually optimal cycle times.

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Integrated Production-Distribution Planning for Single-Period Inventory Products Using a Hybrid Genetic Algorithm (혼성 유전알고리듬을 이용한 단일기간 재고품목의 통합 생산-분배계획 해법)

  • Park, Yang-Byung
    • IE interfaces
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    • v.16 no.3
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    • pp.280-290
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    • 2003
  • Many firms are trying to optimize their production and distribution functions separately, but possible savings by this approach may be limited. Nowadays, it is more important to analyze these two functions simultaneously by trading off the costs associated with the whole. In this paper, I treat a production and distribution planning problem for single-period inventory products comprised of a single production facility and multiple customers, with the aim of optimally coordinating important and interrelated decisions of production sequencing and vehicle routing. Then, I propose a hybrid genetic algorithm incorporating several local optimization techniques, HGAP, for integrated production-distribution planning. Computational results on test problems show that HGAP is effective and generates substantial cost savings over Hurter and Buer's decoupled planning approach in which vehicle routing is first developed and a production sequence is consequently derived. Especially, HGAP performs better on the problems where customers are dispersed with multi-item demand than on the problems where customers are divided into several zones based on single-item demand.