In order to provide stable district heat supplying service to the certain limited residential area, it is the most important to forecast the short-term future demand more accurately and produce and supply heat in efficient way. However, it is very difficult to develop a universal heat demand forecasting model that can be applied to general situations because the factors affecting the heat consumption are very diverse and the consumption patterns are changed according to individual consumers and regional characteristics. In particular, considering all of the various variables that can affect heat demand does not help improve performance in terms of accuracy and versatility. Therefore, this study aims to develop a demand forecasting model using deep learning based on only limited information that can be acquired in real time. A demand forecasting model was developed by learning the artificial neural network of the Tensorflow using past data consisting only of the outdoor temperature of the area and date as input variables. The performance of the proposed model was evaluated by comparing the accuracy of demand predicted with the previous regression model. The proposed heat demand forecasting model in this research showed that it is possible to enhance the accuracy using only limited variables which can be secured in real time. For the demand forecasting in a certain region, the proposed model can be customized by adding some features which can reflect the regional characteristics.
In this study, the quality characteristics and antioxidant activities of wet noodles added with seunggumcho (Angelica gigas N Leaf) powder at concentrations of 1, 2, 3, and 4%, respectively, were investigated. The moisture contents and pH of the samples showed a tendency to decrease with increasing amounts of seunggumcho powder. Texture measurement indicated that 'hardness,' 'springiness,' and 'chewiness' of the cooked noodle were the highest in the control group, and these parameters showed a tendency to decrease with increasing amounts of seunggumcho powder. The total polyphenol contents in wet noodles added with seunggumcho powder increased with increasing amounts of seunggumcho powder. 2,2-diphenyl-1-picrylhydrazyl radical scavenging activity was the lowest in the control group (10.85%) and highest in the 4% addition group (44.84%). ${\alpha}-Glucosidase$ inhibitory activity showed the lowest value in control group (1.17%), and increased with increasing amounts of seunggumcho powder. The sensory preference score was the highest for color, flavor, taste, and chewiness in the 2% addition sample. The findings of this study suggest the feasibility of seunggumcho added wet noodles as a health food with physiological benefits and provide evidence for introducing various health foods by adding seunggumcho.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
/
v.16
no.5
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pp.189-203
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2021
Environmental changes, which are strongly requiring technological cooperation, such as technological development and strategic alliances according to industrial ecosystem change, have a significant impact on not only product quality but also services. Thus, there is a need for 'servitization' that can satisfy the needs of customers and the ecosystem of businesses through the convergence of manufacturing companies and services. This study uses the Expectation-Confirmation Model to examine the impact on user satisfaction and Continuance Usage Intention. Research(Study) was conducted on users who are using high-tech-based cars. For this, we used Expectation Confirmation(match expections for the user's pre-and post-use relationships), Perceived Ease, Perceived Usefulness, User Satisfaction and Habitual Use and using Continuance Usage Intention as a dependent variable. Their causation was examined with the spss 26.0 and smartpls 2.0 statistical programs. As implications of this study, Expectation Confirmation has been shown to have significant positive effects on Perceived Ease, Perceived Usefulness, User Satisfaction and Habitual Use. For this results, the expectations before and after the use of high-tech cars lead to improved daily lives convenience and(or) work efficiency, leading to user satisfaction and further Continuance Usage Intention. Motors consider it important to pursue the work improvements that consumers want and use it useful in daily lives in the production and sale of high-tech cars. It is expected that it will create natural habits for services that users are satisfied with, and that these habits will affect the continuous growth and understanding of the trend of change.
Journal of Korea Entertainment Industry Association
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v.14
no.6
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pp.13-27
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2020
This study aims to analyze the effect on the adherence intention of enterprise image, trust, and relationship maintenance by the relation marketing in companies, especially in design companies, to examine the relationship establishment in the operation and communication between customers (users) on using the company's service and the member working for the company, and to suggest its substantiation of the mutual satisfaction effect. The research method was, first, analyzed based on the data collected after examining the published domestic and foreign papers, academic journals, publications, books, and internet in order to conduct the theoretic consideration. Also, for objective validity and empirical proof, the empirical analysis was conducted on the survey conducted and collected over two months for the employees of design companies living in Seoul and Gyeonggi-do, and the results are as follows. First, the result of verifying the relationship between relationship marketing and trust showed that the company's expertise does not significantly affect its trust while the company's communication and reputation affect significantly on trust. Second, the relationship between relationship marketing and sustainability has been verified that all variables, such as expertise, communication and reputation does not significantly effect the relationship maintenance. Third, the company's trust has significant effect on relationship maintenance. In addition, the implication and limitation of the study related to this were suggested in the conclusion.
Journal of Korea Entertainment Industry Association
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v.15
no.5
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pp.115-128
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2021
The purpose of this study is to examine the importance and satisfaction perceived in the purchase of goods and the use of a court in badminton club members. The results will be used for basic data to increase club members and present the methods to activate badminton. The survey on goods, price, programs, facilities, staff, and publicity was conducted. The IPA matrix was applied for data processing. The following conclusions were drawn. First, as a result of analyzing the ranking of importance and satisfaction, the first place of importance was coach's professionalism of staff factors, followed by safety of facility factors and program contents and effects of program factors. The first place of satisfaction was cleanliness and management of facility factors, followed by coach's professionalism of staff factors and staff's kindness of staff factors. Second, as a result of the IPA matrix of importance and satisfaction, Quadrant I included appropriateness of training time and program contents and effect of program factors, parking size and cleanliness and management of facility factors, coach's professionalism and staff's service attitude of staff factors, and customer service and complaint resolution of publicity factors. Quadrant II showed appropriateness of price, value for money, and discount policy of price factors and materials and design of goods factors. Quadrant III included excellent customer service of goods of goods factors, various program construction of program factors, court location and accessibility, and various convenient facilities of facility factors, and various publicity and event programs, website construction, and various publicity strategies of publicity factors. Quadrant IV showed brand value of goods, awareness, and brand specialty of goods of goods factors.
The development of digital technology has made consumers more knowledgeable about products than ever before. In this regard, experts have defined consumers in the digital age as knowledge seekers and pointed out that they are proficient in acquiring and sharing product knowledge prior to purchase. For service goods such as musicals, product prior knowledge executes strong effect due to such characteristics as intangibility, inseparabilit y,and heterogeneity. Prior studies in the field of performing arts, including musicals, have revealed that the prior knowledge of the audience has a positive effect on the satisfaction of the audience and WOM(word-of-mouth) intention. However, studies in the marketing field argue that consumers' high prior knowledge may have a negative impact on customer satisfaction and product evaluation depending on conditions, as they are more likely to compare, review, and expect products more closely. Therefore, in this study, we tried to identify under what conditions the musical prior knowledge enhances audience satisfaction and WOM intention. According to the results of previous studies, a mediating effect model was established in which the musical prior knowledge enhances the WOM intention through the mediation of the audience satisfaction. Then, Transportation was introduced as a mediation variable and it was verified whether the level changed the audience satisfaction and WOM intention. The reason for the introduction of the transportation construct reflects the results of previous research that the story is important component of musical. The results showed that the musical prior knowledge has a significant effect on WOM intention through the mediation of audience satisfaction. The moderating effect of transport was also significant on the relationship between musical prior knowledge and audience satisfaction. Lastly, through moderated-mediation analysis, it was confirmed that transportation moderates the mediating effect that prior knowledge affects on the WOM intention through audience satisfaction. Based on the results, we demonstrated that a musical story is fairly important to satisfy audiences with high prior knowledge. This study could contribute to the related filed in that it introduced the transportation construct for the first time, thereby broadening the understanding of the musical audiences in the era of smart consumers.
This study critically analyzed the user experience (UX) of mobile applications, focusing on the advertising platforms of mobile applications for culture and arts content. This study aims to examine the direction for growth of the related mobile applications and propose alternative approaches to improve usability. In this study, a mobile app named 'Moviepre' was selected, and a heuristic evaluation was performed for in-depth exploration. For the selected case, the UX Honeycomb model was reconstructed to analyze useful, usable, desirable, findable, accessible, and credible elements of the case. First, since the users' preference for the price factor did not show a significant correlation with the usefulness of the content and the interface, it is necessary to make sure that the mobile application has unique values to gain a competitive advantage in the market. Second, by adopting customer path stages for analysis, the result indicated that users continuously interact with the service from the first moment they are aware of the mobile application. Third, if the user feels uncomfortable, it is likely that these factors hinder the establishment of a long-term relationship between the users and the mobile application. Finally, brand identity should be clearly established, and brand image strategy needs to be developed to satisfy users' expectations that high-quality culture and arts content will be available through the mobile application.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.16
no.6
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pp.57-68
/
2021
The purpose of this study is to investigate the effect of location satisfaction of innovative start-ups, located in capital and non-capital areas, on the intention of relocation. The analysis was based on the data of a survey of 231 innovative start-ups that were founded less than 7 years ago. 10 factors related to the aspects of business management, network building, and business environment were considered as location satisfaction of start-ups. The dependent variable was whether innovative start-ups plan to relocate. First, it was confirmed that in the case of innovative start-ups in capital area, the intention to relocate was found to decrease when the location satisfactions related to the promptly provision of products and services to consumers and ease of supplying labor were increased. Second, in the case of innovative start-ups in non-capital area, it was found that the intention to relocate was found to decrease when the location satisfactions related to creating a network, convenient transportation and free and creative start-up environment were increased. In addition, it was found that the higher the sales of start-ups in non-capital area, the lower their intention to relocate while the higher firm age of start-ups in non-capital area, the higher their intention to relocate. This study has an academic contribution to examining the relationship between between the location satisfactions of start-ups and the intention to relocate, which has been rarely addressed in Korea, and to shedding light on the difference in capital and non-capital areas. Furthermore, this study has policy implications since it suggests factors that the government should consider for geographical agglomeration of start-ups.
The purpose of this study is to collect and analyze information related to water leaks that cannot be easily accessed, and utilized by using the news search results that people can easily access. We applied a web crawling technique for extracting big data news on water leakage accidents in the water supply system and presented an algorithm in a procedural way to obtain accurate leak accident news. In addition, a data analysis technique suitable for water leakage accident information analysis was developed so that additional information such as the date and time of occurrence, cause of occurrence, location of occurrence, damaged facilities, damage effect. The primary goal of value extraction through big data-based leak analysis proposed in this study is to extract a meaningful value through comparison with the existing waterworks statistical results. In addition, the proposed method can be used to effectively respond to consumers or determine the service level of water supply networks. In other words, the presentation of such analysis results suggests the need to inform the public of information such as accidents a little more, and can be used in conjunction to prepare a radio wave and response system that can quickly respond in case of an accident.
Smart museums based on the growth of online exhibition can be seen as in line with the movement of the 4th Industrial Revolution. By combining art and technologies, they enable viewers to experience culture and art. This study examined the cases of the Dunhuang Museum, the Palace Museum, and the China Arts and Crafts Master Museum to assess or identify how China is leading by accepting the technology of the fourth industry and applying the technology. In common, Chinese smart museums are widely used for collecting enviromental data, establishing integrated digital applications, and preserving collections, services, management, and exhibitions through VR, and AR. Through the case of the Chinese Smart Museum, this study identified the online exhibition as a space that exists in another dimension rather than an image replica with excellent operational utility. Therefore, online exhibitions are the best medium to expand the space, and viewers can explorethe museum's exhibition room and engage with all the contents of the museum without visiting the museum in person. Through the online exhibition of smart museums, visitors and viewers can be transformed into more active cultural consumers and develop collective capabilities.
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