• Title/Summary/Keyword: Online Services

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The Effects of Information Sources on Trust, WOM Intention, and eWOM Intention in the Restaurant Sector (외식기업의 정보원천이 신뢰, 구전의도, 그리고 온라인 구전의도에 미치는 영향)

  • CHAO, Meiyu;YOU, YenYoo;KIM Eun-Jung
    • The Korean Journal of Franchise Management
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    • v.13 no.3
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    • pp.1-15
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    • 2022
  • Purpose: In the restaurant sector, it has been known that consumers' positive perception of brands influences their positive WOM intention, and information sources play an important role in increasing credibility by enhancing consumer awareness and developing differentiated brands. This study examines the effects of information sources (e.g., advertisement, WOM, SNS) on trust (cognitive and affective) and, WOM and eWOM intention in the restaurant context. In the model, cognitive and affective trust play mediating roles in the relationships between information sources (e.g., advertisement, WOM, SNS) WOM and eWOM intention. Research design, data, and methodology: Research models and hypotheses were developed according to the research direction. The survey questionnaire items were developed and used appropriately according to the contents of this paper based on prior studies. All constructs were measured with multiple items developed and validated in prior studies. A total of 502 responses were collected from an online survey. The research model was evaluated using SmartPLS 4.0. Frequency analysis was performed to understand the demographic characteristics of the survey respondents. The reliability, convergent validity, and discriminant validity were assessed using measurement model analysis. The proposed model was verified using the structural equation model. Results: Advertisement, WOM, and SNS information sources all had a positive effect on affective trust, whereas only WOM had a significant effect on cognitive trust. In addition, affective trust had a positive effect on cognitive trust and eWOM intention but did not affect WOM intention. Finally, cognitive trust was found to have a positive effect on both WOM intention and eWOM intention. Conclusions: This study redefines the concept of where restaurant service companies should focus when providing consumers with information about their products and services. As a result, the conceptual framework of positive word of mouth intention to increase new customer visits to the restaurant brand has been expanded. In addition, this study not only presents an information source management strategy for restaurant brands, but also presents practical implications for resource allocation guidelines for customer management in the restaurant sector.

The Role of Innovative Activities in Training Students Using Computer Technologies

  • Minenok, Antonina;Donets, Ihor;Telychko, Tetiana;Hud, Hanna;Smoliak, Pavlo;Kurchatova, Angelika;Kuchai, Tetiana
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.105-112
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    • 2022
  • Innovation is considered as an implemented innovation in education - in the content, methods, techniques and forms of educational activity and personality education (methods, technologies), in the content and forms of organizing the management of the educational system, as well as in the organizational structure of educational institutions, in the means of training and education and in approaches to social services in education, distance and multimedia learning, which significantly increases the quality, efficiency and effectiveness of the educational process. The classification of currently known pedagogical technologies that are most often used in practice is shown. The basis of the innovative activity of a modern teacher is the formation of an innovative program-methodical complex in the discipline. Along with programmatic and content provision of disciplines, the use of informational tools and their didactic properties comes first. It combines technical capabilities - computer and video technology with live communication between the lecturer and the audience. In pedagogical innovation, the principles reflecting specific laws and regularities of the implementation of innovative processes are singled out. All principles are elements of a complex system of organization and management of innovative activities in the field of education and training. They closely interact with each other, which enhances the effect of each of them due to the synergistic effect. To improve innovative activities in the training of students, today computer technologies are widely used in pedagogy as a science, as well as directly in the practice of the pedagogical process. They have gained the most popularity in such activities as distance learning, online learning, assistance in the education management system, development of programs and virtual textbooks in various subjects, searching for information on the network for the educational process, computer testing of students' knowledge, creation of electronic libraries, formation of a unified scientific electronic environment, publication of virtual magazines and newspapers on pedagogical topics, teleconferences, expansion of international cooperation in the field of Internet education. The article considers computer technologies as the main building material for the entire society. In the modern world, there is a need to prepare a person for life in a multimedia environment. This process should be started as early as possible, because the child's contact with the media is present almost from the moment of his birth.

Correlation of animal-based parameters with environment-based parameters in an on-farm welfare assessment of growing pigs

  • Hye Jin, Kang;Sangeun, Bae;Hang, Lee
    • Journal of Animal Science and Technology
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    • v.64 no.3
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    • pp.539-563
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    • 2022
  • Nine pig farms were evaluated for the welfare quality in Korea using animal- and environment-based parameters (particularly air quality parameters) during the winter of 2013. The Welfare Quality® (WQ®) protocol consists of 12 criteria within four principles. The WQ® protocol classifies farms into four categories ranging from 'excellent' to 'not classified'. Each of these criteria has specific measures for calculating scores. Calculations for the welfare scores were conducted online using the calculation model in the WQ® protocol. Environment-based parameters like microclimate (i.e., temperature, relative humidity, air speed, and particulate matter), bacteria (total airborne bacteria, airborne total coliform, and airborne total Escherichia coli), concentration of gases (carbon dioxide, ammonia, and hydrogen sulfide) were measured to investigate the relationship between animal- and environment-based parameters. Correlations between the results of animal- and environment-based parameters were estimated using spearman correlation coefficient. The overall assessments found that five out of nine farms were 'acceptable', and four farms were 'enhanced'; no farm was 'not classified'. The average score for the four principles across the nine farms, in decreasing order, were 'good feeding' (63.13 points) > 'good housing' (59.26 points) > 'good health' (33.47 points) > 'appropriate behaviors' (25.48 points). In the result of the environment aspect, the relative humidity of farms 2 (93.4%), 3 (100%), and 9 (98%) was much higher than the recommended maximum relative humidity of 80%, and four out of the nine farms had ammonia concentrations greater than 40 ppm. Ammonia had negative correlations with 'positive social behaviors' and positive emotional states: content, enjoying, sociable, playful, lively, happy and it had positive correlations with negative emotional states: aimless, distressed. The concentration of carbon dioxide had negative correlations with positive emotional states; calm, sociable, playful, happy and it had a positive correlation with negative emotional state; aimless. Our results indicate that the control of the environment for growing pigs can help improve their welfare, particularly via good air quality (carbon dioxide, ammonia, hydrogen sulfide).

Survey of Foodservice Management Status according to Welfare Facility Type for Disabled Persons (장애인 복지시설 유형에 따른 급식관리 실태 조사)

  • Dayoung Oh;Woori Na;Seohyeon Hwang;Jung Joo Lee;Yu Jin Yang;Hyeok, Lee;Ji Hyeon Bang;Hae-Young Lee;Cheongmin Sohn
    • Journal of the Korean Dietetic Association
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    • v.29 no.3
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    • pp.173-189
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    • 2023
  • This study aimed to determine foodservice and hygiene management statuses at welfare facilities catering to disabled persons by facility type to provide basic data for foodservice management guidelines. An online survey was distributed to workers at 1,984 welfare facilities for disabled persons in Korea, and 531 facilities responded, which represented a response rate of 26.8%. The survey requested general information about the facilities, facility users, meals, hygiene, and management. Statistical analyses were performed, and frequency analysis and the chi-square test were used to investigate responses by facility type. The survey results revealed that daycare centers were most common and accounted for 27.4% of responses. Residential facilities for the severely disabled and sheltered workshops accounted for 16.9% and 16.4%, respectively, and residential facilities by disability type accounted for 13.0%. The presence of dietitians at welfare facilities varied by facility type. Welfare centers for the disabled (94.7%) had the highest percentage of dietitians, followed by residential facilities for the severely disabled (87.8%). On the other hand, sheltered workshops and daycare centers for disabled persons had the lowest percentages of dietitians (10.3% and 4.1%, respectively). This study highlights the variations that exist in foodservice management across different welfare facilities for disabled persons and emphasizes the challenges faced by those responsible for managing foodservices and maintaining hygiene, particularly in large facilities with no dietitians. Therefore, we recommend tailored meal management guidelines be developed for each type of welfare facility for disabled persons.

Hate Speech Detection Using Modified Principal Component Analysis and Enhanced Convolution Neural Network on Twitter Dataset

  • Majed, Alowaidi
    • International Journal of Computer Science & Network Security
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    • v.23 no.1
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    • pp.112-119
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    • 2023
  • Traditionally used for networking computers and communications, the Internet has been evolving from the beginning. Internet is the backbone for many things on the web including social media. The concept of social networking which started in the early 1990s has also been growing with the internet. Social Networking Sites (SNSs) sprung and stayed back to an important element of internet usage mainly due to the services or provisions they allow on the web. Twitter and Facebook have become the primary means by which most individuals keep in touch with others and carry on substantive conversations. These sites allow the posting of photos, videos and support audio and video storage on the sites which can be shared amongst users. Although an attractive option, these provisions have also culminated in issues for these sites like posting offensive material. Though not always, users of SNSs have their share in promoting hate by their words or speeches which is difficult to be curtailed after being uploaded in the media. Hence, this article outlines a process for extracting user reviews from the Twitter corpus in order to identify instances of hate speech. Through the use of MPCA (Modified Principal Component Analysis) and ECNN, we are able to identify instances of hate speech in the text (Enhanced Convolutional Neural Network). With the use of NLP, a fully autonomous system for assessing syntax and meaning can be established (NLP). There is a strong emphasis on pre-processing, feature extraction, and classification. Cleansing the text by removing extra spaces, punctuation, and stop words is what normalization is all about. In the process of extracting features, these features that have already been processed are used. During the feature extraction process, the MPCA algorithm is used. It takes a set of related features and pulls out the ones that tell us the most about the dataset we give itThe proposed categorization method is then put forth as a means of detecting instances of hate speech or abusive language. It is argued that ECNN is superior to other methods for identifying hateful content online. It can take in massive amounts of data and quickly return accurate results, especially for larger datasets. As a result, the proposed MPCA+ECNN algorithm improves not only the F-measure values, but also the accuracy, precision, and recall.

The Effect of Support Quality of Chatbot Services on User Satisfaction, Loyalty and Continued Use Intention: Focusing on the Moderating Effect of Social Presence (챗봇서비스의 지원품질이 사용자 만족, 충성도 및 지속사용의도에 미치는 영향에 관한 연구 : 사회적 실재감의 조절효과를 중심으로)

  • Kim Jung Tae;Choi Do Young
    • Journal of Service Research and Studies
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    • v.12 no.4
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    • pp.106-124
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    • 2022
  • This study examined whether the social support (emotional support, information support) provided by customers through chatbot service affects the satisfaction of chatbot service felt by customers and whether the satisfaction of chatbot service affects loyalty and intention to continue using chatbot service. In order to confirm the moderating effect of social presence of chatbot service, a total of 300 effective data were obtained by conducting an online survey divided into a group that recognizes social presence highly and a group that recognizes low. As a result of the analysis, the path from emotional support to satisfaction of chatbot service was supported in the group that recognized social presence highly, and the path from emotional support to satisfaction of chatbot service was not supported in the group that recognized social presence low, and the difference was confirmed in the hypothesis path coefficient. This is interpreted as the social presence affecting human emotional response.This study can provide implications for the function of social presence of chatbot service in that it applied information support and emotional support, which are two factors of social support, to chatbot service, and demonstrated the relationship between satisfaction, loyalty, and continuous use according to the degree of social presence of chatbot users.

The Effect of Hospital Mobile App Quality Factors on Users ' Continuous Use Intention: An Integrated Approach of Information Systems Success and Expectation-Confirmation Models (병원모바일앱 품질요인이 이용자의 지속이용의도에 미치는 영향: 정보시스템성공모형과 기대일치모형의 통합적 접근)

  • Min Soo Kim;Sang-Hyeak Yoon;Sae Bom Lee;Sung-Byung Yang
    • Journal of Service Research and Studies
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    • v.13 no.1
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    • pp.76-95
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    • 2023
  • As information and communications technology-based "smart hospitals" and "digital healthcare" have become a hot topic in the healthcare field, hospital mobile apps are gaining attention; but, the utilization rate is low due to lack of publicity, unstable systems, and late updates. In this situation, systematic research is needed to increase the utilization rate of hospital mobile apps, but related research has been rare. Therefore, this study integrates the information systems success model (ISSM) from the technical perspective and the expectation-confirmation model (ECM) from the cognitive perspective to demonstrate the influence mechanism on the continuous use intention of hospital mobile apps. For this purpose, an online survey was conducted among 181 Korean adults who have used hospital mobile apps. The results of the structual equation modeling showed that most of the quality factors have significant effects on expectation confirmation, perceived usefulness, and satisfaction. Additionally, expectation confirmation significantly affects perceived usefulness and satisfaction, and both perceived usefulness and satisfaction significantly affect the continuous use intention of hospital mobile apps. This study is of importance in that it integrates the ISSM and ECM and applies them to the context of using hospital mobile apps, which are underutilized in the healthcare field, and provides practical implications for increasing the utilization rate of hospital mobile apps and operating effective and efficient services through the findings.

Factors Influencing mHealth Use in Older Adults with Diabetes (당뇨병 노인의 mHealth 이용에 영향을 미치는 요인)

  • Minjin Kim;Beomsoo Kim;Sunhee Park
    • Knowledge Management Research
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    • v.23 no.4
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    • pp.113-132
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    • 2022
  • The development of information and communication technologies (ICT) and changes in medical services centering on daily life have ushered in an era of self-management through the smartphone health management app (mHealth). This study identified the factors affecting mHealth use among older adults with diabetes. A structured survey was conducted using online and offline channels for 252 older adults who were over 65 and had diabetes. The collected data were subjected to hierarchical multiple regression analyses, and subjective health status, e-health literacy, and interaction terms of social support were inputted to verify moderating effect. The main results of this study are as follows. First, mHealth use among older adults with diabetes was higher in the male, type 2 diabetes, and younger age groups. Second, the higher was the e-health literacy, the higher was the mHealth use. Third, a negative moderating effect of social support was found in the relationship between subjective health status and mHealth use. We expect this study to provide researchers and managers interested in mHealth and older adults with diabetes, with valuable theoretical and practical implications. Furthermore, this study contributes to improving mHealth use among older adults with diabetes and building a digitally inclusive society.

A Study on the Introduction of Library Services Based on Blockchain (블록체인 기반의 도서관 서비스 도입 및 활용방안에 관한 연구)

  • Ro, Ji-Yoon;Noh, Younghee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.1
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    • pp.371-401
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    • 2022
  • If the blockchain means storing information in a distributed environment that cannot be forged or altered, it is mentioned that this is similar to what librarians collect, preserve, and share authoritative information. In this way, this study examined blockchain technology as a way to collect and provide reliable information, increase work efficiency inside and outside the library, and strengthen cooperative networks. This study attempted to propose various ways to utilize blockchain technology in book relations based on literature surveys and case studies in other fields. To this end, this study first analyzed the field and cases of blockchain application to confirm the possibility and value of blockchain application in the library field, and proposed 12 ways to utilize it based on this. The utilization model was proposed by dividing it into operation and service sectors. In the operation sector, it is a digital identity-based user record storage and authentication function, transparent management and traceable monitoring function, voting-based personnel and recruitment system, blockchain governance-based network efficiency function, and blockchain-based next-generation device management and information integration function. The service sector includes improved book purchase and sharing efficiency due to simplification of intermediaries, digital content copyright protection and management functions, customized service provision based on customer behavior analysis, blockchain-based online learning platforms, sharing platforms, and P2P-based reliable information sharing platforms.

Effect on user evaluation, purchase intention, and satisfaction of personalized recommendation services by purchase journey in mobile fashion commerce (모바일 패션커머스의 구매여정별 개인화 추천서비스 사용자 평가와 구매의도 및 만족도에 미치는 영향)

  • kang, Sun-Young;Pan, Young-Hwan
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.63-70
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    • 2022
  • Fashion is a field in which personal taste acts as the first criterion for purchase, and it is being refined as an important strategy to increase purchase conversion on mobile. Although related studies have been conducted, there are insufficient studies to confirm this according to the detailed purchasing journey of consumers. The purpose of this study is to examine whether the evaluation of user experience factors of personalized recommendation service differs by purchase journey, and to reveal whether it affects purchase intention and satisfaction. Variety, reliability, and convenience showed a significant difference at the level of 0.001% and usefulness at the level of 0.05%. Satisfaction levels were different for each stage, such as novelty and usefulness in the cognitive and interest stage, and high reliability and diversity in the search stage. It has theoretical significance in that it enhances the understanding of the purchase journey by revealing that there is a difference in user evaluation of the personalized recommendation service, and it has practical significance in that it suggests the direction of improvement of the personalized recommendation service strategy. If research on effectiveness is conducted in the future, it will be able to contribute to an advanced strategy.