• Journal of Distribution Science
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• v.12 no.12
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• pp.27-41
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• 2014

Purpose - This study examines various reservation service components that would increase customers' brand attachment and loyalty, while discussing how reservation service components would affect the customer behaviors. Research design, data, and methodology - This study theoretically analyzed the hotel package product reservation system, the customer expectations, the brand attachment, and the brand loyalty, while reviewing previous studies. Results - This study analyzed the distribution channels of the hotel package products from various angles and, as for more extensive research, the study explained the different results caused by each different reservation system type that may be preferred by each individual customer. Conclusions - It was confirmed that, of the hotel reservation service components, the convenience factors, the reliability factors, the information factors, and the other factors other than the human factors, have a significant influence on the customer expectations. Further, the study also revealed that the customer expectation has an important effect on the brand attachment. In addition, the study improved the prevailing understanding on the relation between the brand attachment and the brand loyalty.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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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.

• Journal of Agricultural Extension & Community Development
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• v.23 no.3
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• pp.243-255
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• 2016

This study aims to identify the characteristics of businesses influencing the choice of their type in the 6th industry and analyze how they work. This study analyzed data of 752 businesses certified as belonging to the 6th industry in 2015 through the classification and regression tree (CART) algorithm in decision tree analysis. The results of analysis showed that the type of agricultural product processing, region, the type of service, and the production percentage in a province affected a choice of the type. The most important variable that impacted how businesses in the 6th industry chose their type was the type of agricultural product processing, and if a business produced simple agricultural products, it was likely to specialize into $1st^*2nd$ or $1st^*3rd$. Access to large consumption areas was a critical factor in the growth of 2nd and 3rd industrial functions. These findings would contribute to establishing a model to develop the 6th industry and empirically demonstrate the importance of access to large consumption areas for agricultural businesses and rural tourism.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.15 no.2
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• pp.23-41
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• 2004

This study aimed at categorizing food product consumer's life types, understanding properties of each type, identifying differences in the food consumption pattern, and suggesting a strategical plan to implement market segmentation for the future food products. A demonstrative analysis revealed that consumption tendencies of the sample group in the Busan area could be categorized into four types-popular brand orientation, convenience and practicality orientation, and change and innovation oriention; an analysis of demographical differences in each group demonstrated that variabes of age and family formation showed a significant difference within a significant level. A test of differences in the significance among food consumption types in each group demonstrated that there was no signifcant difference in the number of dining-out, average cost of dining-out per person, dining-out of the week, cost of dinner, and attributes of food service selection. To the contrary, there was a significant difference in the purpose of dining-out, place of lunch, cost of lunch, menu of dinner, and food service information medium among consumption tendencies of each within a significant level.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.3
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• pp.145-150
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• 2019

We develop the system realization of whale sound reconstruction by inverse MFCC algorithm with the weighted L2-norm minimization techniques. The output products from this research will contribute to the whale tourism and multimedia content industry by combining whale sound contents with the prototype of 3D printing. First of all, we develop the softwares for generating whale sounds and install them into Raspberry Pi hardware and fasten them inside a 3D printed whale. The languages used in the development of this system are the C++ for whale-sounding classification, MATLAB and Python for whale-sounding playback algorithm, and Rhino 6 for 3D printing.

• The Korean Journal of Food And Nutrition
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• v.27 no.1
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• pp.120-127
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• 2014

The purpose of this study was to analyze the effects of celebrity endorsers used in fast food industry among highschool and undergraduate students. By taking the sample's age and income into consideration, the advertisement examples of fast food industries were chosen for this study. Data was collected by questionnaires from 400 students. For statistical analysis, the SPSS V19.0 was used for reliability and factor analysis, chi-square test and regression analysis. The results are as follows: First, there was a significant difference (p<0.01) in advertising effects according to gender and education level. Out of the consumers who were exposed to celebrity endorsers, the highschool students and women showed higher advertising effects. Second, the advertising attitude was positively related to brand images (F: 479.680, p<0.01) and buying intentions (F: 1101.427, p<0.01) as well as brand images on purchase intentions (F: 492.175, p<0.01). In conclusion, the consumers with positive attitudes towards advertisements will also evaluate brand images positively and be more likely to purchase the products.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.230-235
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• 2022

This study is to select an optimal object detection algorithm for designing a self-checkout counter to improve the inconvenience of payment systems for products without existing barcodes. To this end, a performance comparison analysis of YOLO v2, Tiny YOLO v2, and the latest YOLO v5 among deep learning-based object detection algorithms was performed to derive results. In this paper, performance comparison was conducted by forming learning data as an example of 'donut' in a bakery store, and the performance result of YOLO v5 was the highest at 96.9% of mAP. Therefore, YOLO v5 was selected as the artificial intelligence object detection algorithm to be applied in this paper. As a result of performance analysis, when the optimal threshold was set for each donut, the precision and reproduction rate of all donuts exceeded 0.85, and the majority of donuts showed excellent recognition performance of 0.90 or more. We expect that the results of this paper will be helpful as the fundamental data for the development of an automatic payment system using AI self-service technology that is highly usable in the non-face-to-face era.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.85-90
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• 2022

In this study, keywords from representative online portal sites such as NAVER, Google, and Youtube were collected based on text mining analysis technique using TEXTOM to check the changes in the restaurant industry before and after COVID-19. The collection keywords were selected as dining out, food service industry, and dining out culture. For the collected data, the top 30 words were derived, respectively, through the refinement process. In addition, comparative analysis was conducted by defining data from 2018 to 2019 before COVID-19, and from 2020 to 2021 after COVID-19. As a result, 8272 keywords before COVID-19 and 9654 keywords after COVID-19, a total of 17926 keywords, were derived. In order for the food service industry to develop after the COVID-19 pandemic, it is necessary to commercialize the recipes of restaurants to revitalize the distribution of home-use food products that replace home-cooked meals such as meal kits. Due to the social distancing caused by COVID-19, the dining out culture has changed and the trend has changed, and it has been confirmed that the consumption culture has changed to eating and delivering at home more safely than visiting restaurants. In addition, it has been confirmed that the consumption culture of existing consumers is changing to a trend of cooking at home rather than visiting restaurants.

• Journal of the Korean Institute of Rural Architecture
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• v.25 no.1
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• pp.17-24
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• 2023

There are various issues in rural areas. There are population decline, aging, and the absence of jobs and amenities. The government continues to expand various projects for rural areas. Recently, the government is promoting smart village projects in farming and fishing villages. The purpose of smart village is safety, convenience, smartization, and productivity improvement. The purpose of this study is to investigate the project and implementation process of smart villages, and domestic and foreign cases. And it classifies smart villages and suggests implementation strategies. The conclusion is as follows. ①The smart village business focuses on safety, living convenience, facility smartization, and agriculture and fisheries. ②In overseas cases, the smart village project focuses on improving the residential environment of farming and fishing villages in the EU, the UK, and Germany. Japan focuses on improving energy and agricultural and fisheries productivity. ③It is recommended that the smart village business be subdivided and promoted as much as possible. And the project enhances synergy in cooperation with other government ministries. ④Smart services increase credibility through FGI for public officials and residents. ⑤The project is carried out in consideration of agricultural products, tourism festivals, natural environment, history and tradition.

• Journal of Korean Society of Rural Planning
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• v.19 no.2
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• pp.21-33
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• 2013

In these days, agricultural products are regarded as a core income source in tourism villages. Nevertheless, poor packaging of agricultural products has threatened the competitiveness and quality of products. For farmers, it is less likely to employ individual designer for developing and improving their packages due to low accessability to rural villages and budgets. Based on this background, this study conducted 'Charrette' in order to improve agricultural product packaging. The target village was 'Goraday' in Gangwon province. This study consisted of different steps for building and implementing proper 'Charrette' programs. Then, it also conducted empirical investigation about the effectiveness and efficiency of 'Charrette'. 'Charrette' has made progress as follows; first step was concerned with advance preparation for constructing program. Second, implementation of 'Charratte' included data collection and analysis, and development of design. Third, evaluation and feedback stage have given presentation and discussion about suggested design with local residents. Empirical investigation about the effectiveness and efficiency of 'Charrette' has been composed with survey and interview targeting participants. In survey and interviews, designers were asked about their attitudinal changes in relation to knowledge, recognition, function, motivation, and satisfaction toward 'Charrette' and 'agricultural product package design' before and after participating the event. The results showed that knowledge and perception of designers toward 'agricultural product package design' have positively increased. In addition, it revealed that designers were satisfied with collaborations with others and their contribution to rural community business. However, the results also suggested that sufficient preparation time/schedules and opportunity to meet other and farmers before events would be required to have better communication and understanding in relation to their tasks and role distribution. Furthermore, it is also required for designers to hold relationship with local community in order to actualize their packaging design.