• Journal of Information Technology Applications and Management
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• 제24권4호
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• pp.93-115
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• 2017

The ability of smartphones to facilitate various services like mobile banking, e-commerce and mobile payments has made them part of consumers' lives. Conjoint analysis (CA) is a marketing research approach used to assess how consumers' preferences for products or services develop. The potential applications of CA are numerous in consumer electronics, banking and insurance services, job selection and workplace loyalty, consumer packaged goods, and travel and tourism. Choice-Based Conjoint (CBC) analysis is the most commonly used CA approach in marketing research. The purpose of this study is to utilise CBC analysis to investigate the relative importance of smartphone attributes that influence consumer smartphone preference. An experiment was designed using Sawtooth CBC Software. 326 students attempted the online survey. Utility values were derived by Hierarchical Bayes (HB) estimation and used to explain consumers' smartphone preferences. All the six attributes used for the study were found to significantly influence smartphone preference. Smartphone brand was the most important, followed by the price, camera, RAM, battery life, and storage. This study is one of the first to use Sawtooth CBC analysis to assess consumer smartphone preference based on the six attributes. We provide implications for the development of new smartphones based on attributes.

• 한국식생활문화학회지
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• 제32권6호
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• pp.476-486
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• 2017

This study surveyed the recognition, image, preference, attributes, satisfaction and revisit intention for Korean food of local Vietnamese to facilitate the globalization of Korean food. Most participants had recognized Korean food. and, they were especially aware of kimchi (김치), bulgogi (불고기) and bibimbab (비빔밥), Additionally, most repondents thought these foods represent Korean traditions and culture very well. The image of local Vietnamese for Korean food was good. Which was reflected in Korean food having "a good reputation" and a high possibility for "globalization" were high. This study also investigated 16 kinds of Korean food and found the highest preferences to be for bulgogi (불고기), followed by galbitang (갈비탕), whereas that for doenjangchigae (된장찌개) was lowest. Some of the top choice attributes of Vietnamese for Korean food were found to be in "because it is 'colorful', 'prepared sincerely', 'plated neatly', 'fresh' and 'comes with a variety of banchans (side dishes). This is a very meaningful result, making this an important reference for the globalization of Korean food. The local Vietnamese had high satisfaction and reuse intention degree for Korean food, and especially high satisfaction with the colorfulness of Korean food. In addition, the local Vietnamese showed a very high revisit intention for Korean food.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3685-3707
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• 2021

In recent years, facial attribute editing has been successfully used to effectively change face images of various attributes based on generative adversarial networks and encoder-decoder models. However, existing models have a limitation in that they may change an unintended part in the process of changing an attribute or may generate an unnatural result. In this paper, we propose a model that improves the learning of the attention mask by adding a spatial attention mechanism based on the unified selective transfer network (referred to as STGAN) using semi-supervised learning. The proposed model can edit multiple attributes while preserving details independent of the attributes being edited. This study makes two main contributions to the literature. First, we propose an encoder-decoder model structure that learns and edits multiple facial attributes and suppresses distortion using an attention mask. Second, we define guide masks and propose a method and an objective function that use the guide masks for multiple facial attribute editing through semi-supervised learning. Through qualitative and quantitative evaluations of the experimental results, the proposed method was proven to yield improved results that preserve the image details by suppressing unintended changes than existing methods.

• 농촌지도와개발
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• 제28권2호
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• pp.85-98
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• 2021

This study aims to examine consumer types based on pet food selection attributes and to analyze the differences in consumer characteristics by those types. In this study, the researcher uses k-means cluster analysis and crossover analysis to determine market segmention, and then analyzes the resultant characteristics by categorizing consumers. A total of 202 cases are used for this study. First, the selection attributes are classified into the six factors of credibility, quality, design, convenience, information, and price. Second, the clusters are categorized into the four clusters, which are designated pet food lower-involvement type, pet food information- and price-seeking type, pet food convenience-seeking type, and pet food higher-involvement type. Third, these four groups exhibit statistically significant differences in terms of occupational variables, number of pets, and purchase frequency. The results of this study may provide helpful information in establishing customized, market-based marketing strategies based on the characteristics of pet food consumers.

• 한국농공학회논문집
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• 제65권6호
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• pp.15-22
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• 2023

In this study, We conduct a comparative study of deep learning-based classification of agricultural field attributes using Tagged Image File (TIF) and Enhanced Compression Wavelet (ECW) images. The goal is to interpret and classify the attributes of agricultural fields by analyzing the differences between these two image formats. "FarmMap," initiated by the Ministry of Agriculture, Food and Rural Affairs in 2014, serves as the first digital map of agricultural land in South Korea. It comprises attributes such as paddy, field, orchard, agricultural facility and ginseng cultivation areas. For the purpose of comparing deep learning-based agricultural attribute classification, we consider the location and class information of objects, as well as the attribute information of FarmMap. We utilize the ResNet-50 instance segmentation model, which is suitable for this task, to conduct simulated experiments. The comparison of agricultural attribute classification between the two images is measured in terms of accuracy. The experimental results indicate that the accuracy of TIF images is 90.44%, while that of ECW images is 91.72%. The ECW image model demonstrates approximately 1.28% higher accuracy. However, statistical validation, specifically Wilcoxon rank-sum tests, did not reveal a significant difference in accuracy between the two images.

• 한국산림과학회지
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• 제87권2호
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• pp.211-219
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• 1998

본(本) 연구(硏究)는 기존(旣存)에 사용되고 있는 휴양 자원의 관리 및 경영 평가 기법(技法)인 '중요도(重要度)-성취도(成就度)(Importance-Performance) 분석(分析)'을 바탕으로 제안(提案)된 '관찰도(關察度) - 영향도(影響度)(Obserance-Influence) 분석(分析)' 기법(技法)을 월악산 국립공원(國立公園) 이용객(利用客)에게 적용(適用)하여 그들이 월악산 국립공원(國立公園)의 자연(自然) 환경(環境), 관리(管理) 및 시설(施設) 환경(環境), 그리고 사회(社會) 환경(環境)에 관련(關聯)된 30개의 속성(屬性)들을 어떻게 인지(認知)하고 있으며 또한 인지(認知)된 속성(屬性)들이 이용객(利用客)의 휴양(休養) 경험(經驗)에 어떻게 영향(影響)을 끼치는 지를 조사하기 위하여 수행되었다. 본(本) 연구(硏究)의 자료(資料)는 1996년 여름 550명의 월악산 이용객(利用客)을 대상으로 직접(直接) 설문(說問) 조사(調査) 방법(方法)에 의하여 수집(收集)되었다. 자료(資料)의 분석(分析) 결과(結果) 월악산 국립공원(國立公園) 이용객(利用客)에 의해 관찰(觀察)된 중요한 속성(屬性)들은 물리적/생물적 환경에 관련된 것들이었고 이들 속성(屬性)들은 또한 이용객의 휴양(休養) 경험(經驗)에 큰 영향(影響)을 주었다. 특히 깨끗한 물, 맑은 공기, 그리고 아름다운 계곡의 경우에는 약 77%~65%의 응답자가 중요한 속성이라고 답하였다. 원시적(圓式的)인 실행격자(實行格子)가 작성(作成)되고 응답자의 평가 결과에 의해 각 속성들이 격자의 각 분면에 표시되었는데 앞서 밝힌 이에 깨끗한 물, 맑은 공기, 그리고 아름다운 계곡, 아름다운 산림 등의 속성은 집중적인 관리가 필요한 것으로 나타났다. 또한 산림과 관련된 다양한 식물과 수목, 잘 손질된 산림 등의 속성의 경우에도 이용객의 휴양경험에 긍정적 영향을 끼치므로 관리 노력이 필요한 것으로 나타났다. 반면 서비스에 관련된 속성들의 경우 이용객들에 의해 많이 관찰은 되고 있지만 그들의 경험에는 큰 영향을 주지 못하는 것으로 나타났다.

• 디자인학연구
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• 제12권2호
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• pp.133-144
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• 1999

어떤 의미에서 제품은 다양한 정보와 에너지, 물질의 결합체로 파악될 수 있으며, 디자이너의 디자인행위는 디자인 프로세스를 통하여 제품의 이런 속성들의 수준을 결정하는 것이라 볼 수 있다. 즉 제품을 하나의 속성다발체로 생각할 때 각 속성들을 제어하고 조직화하고 최선의 상태가 되도록 결정하기 위하여 디자이너는 각 속성에 대한 다양한 정보를 필요로 하게 된다. 그러나 실제 디자이너가 이용할 수 있는 정보는 이전에 경험했던 내용을 바탕으로 한 직관이나 카다로그 등 이미 공개되었거나 일차원적인 자료에 의존할 뿐이며 있다하더라도 체계적이지 못하고 디자인과는 다른 입장에서 작성된 영업이나 마케팅, 개발부서의 입장이 중심이 된 정보가 대부분이다. 따라서 디자이너가 실제적으로 이용할 수 있는 디자인정보의 개발이 필요하며 이런 디자인정보의 효율적인 이용과 관리를 위하여 또 제품개발에 관여하는 여러 전문가와의 커뮤니케이션 인터페이스로서, 제품개발의 구심점으로 디자인정보시스템이 필요하다. 이런 연구배경을 바탕으로 구체적으로 제품계획의 의미와 제품개발 프로세스를 고찰하여 새로운 디자인 정보 시스템의 필요성을 이해하고 구체적인 개발방법을 위하여 제품을 디자인 정보 탐색의 기준으로 제시하였다. 다음 제품계획에 있어 제품의 개념 및 범주를 정의하고 제품을 둘러싼 기본적인 논리에 따라 제품속성을 규명하였으며 규명된 제품속성을 바탕으로 디자인 정보 모델을 만들고 이것을 기본으로 디자인 정보시스템의 프로토타입을 작성하였다. 마지막으로 작성된 프로토타입의 평가를 바탕으로 결론 및 추후연구과제에 대해 논하였다.

• 대한지역사회영양학회지
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• 제7권3호
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• pp.354-360
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• 2002

The purposes of this study were (1) to understand how customers trade off one attribute against another when they choose a pizza restaurant, (2) to compare the importance of individual attributes with their relative importance and (3) to compare customers'brand choice patterns with the prediction of pizza restaurant operators. Empirical data for this study were collected from the customers (n=307) and operators (n=273) of flour famous pizza franchise restaurants in Korea, Pizza Hut, Mister Pizza, Domino's Pizza and Pizza Mall. The attributes and attribute levels for the hypothetical profiles were decided from the focus group discussion. A total of 16 profiles was selected from fractional factorial designs. The SPSS conjoint procedure was used to calculate utility scores and simulate profiles. The overall group statistics showed the relative importance of all attributes compared with one other. Taste was the most important attribute (32.48%) in choosing a pizza restaurant, followed by service (21.87%) , atmosphere (17.23%), price (15.17%) and speed of delivery (13.26%). There was a difference between the customers'ratings of the importance of the individual attributes and the ranking of the same attributes'relative importance as derived from the conjoint analysis. The operators rated service (26.54%) as also being important, as well as taste (27.76%), in choosing a pizza restaurant. The rankings of relative importance for pizza taste, service and price were statistically different in the customers'and operators'data (p < 0.001, p < 0.1, p < 0.5). Operators who want to differentiate themselves from their competitors should make decisions based on an increased understanding of their customers'brand choice decision process and measure the hidden needs of their customers.

• 한국의류산업학회지
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• 제17권6호
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• pp.932-941
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• 2015

An aging population and increasing consumer demand for high-quality and innovative new products are key drivers for growth in the cosmeceutical industry. Cosmeceuticals are defined as products with biologically active ingredients that have a measurable effect on the user. This study explored the effects of shopping orientation and store attributes on impulse buying behavior for cosmeceuticals. We obtained 437 usable questionnaires from university students who had purchased cosmeceutical products. Data analysis was conducted using confirmatory factor analysis and structural equation modeling analysis via AMOS 18.0. The findings were: 1) hedonic shopping orientation and convenience shopping orientation had positive effects on product efficacy and promotion of the cosmeceutical store 2) brand shopping orientation had a positive effects on store atmospheric, skin care service, and brand of the cosmeceuticals store and 3) product efficacy and promotion of store attributes had a direct effect on impulse buying behavior for cosmeceuticals. Consumers who tended to enjoy the shopping to refresh themselves and to experience convenient shopping were likely to purchase cosmeceuticals impulsively, which mediated by the store attributes (product efficacy and promotion). Therefore, we confirmed partly causal relationships among the shopping orientation, store attributes, and impulse buying behavior of cosmeceuticals. Both managerial and theoretical implication for practitioners and researchers were discussed for managing product information more efficiently along with promotion strategies to trigger cosmeceuticals consumers in the context of shopping.

• 한국지역사회생활과학회지
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• 제19권4호
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• pp.497-507
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• 2008

This study investigated relationships between the importance and satisfaction of rice-based menu selection attributes at family restaurants. For data collection, a total of 250 copies of questionnaires were distributed to 4-year college students who had an experience of a rice-based menu at casual dining restaurants, and finally 221 surveys (88.4%) among them were analyzed by using SPSS Win ver. 11.5. Twenty selection attributes were used to test the level of importance and satisfaction for rice-based menu. The factor analysis identified six dimensions of the importance of rice-based menu selection attributes; variety of items, menu information, recommendation & atmosphere, food quality, preferred menu, and price. Also, five dimensions of satisfaction were identified as nutrition & taste, menu information, preferred menu & atmosphere, variety of items, and cooking. Canonical correlation analysis revealed that preferred menu factor of importance was highly correlated with preferred menu and restaurant atmosphere factor of satisfaction of rice-based menu selection. The managerial implications of these results for rice-base menu selection attributes are as follows: There seems to be a need to develop a variety of rice-based menus, because rice-based menus tend to be considered as an additional menu, not a main course. Aggressive marketing and communication strategies are necessary to position rice-based menu as a main course for college students and as a major maket segment to family restaurants.