• International journal of advanced smart convergence
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• v.13 no.1
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• pp.108-113
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• 2024

The purpose of this study is to analyze user perceptions of tourism platforms through big data. Data were collected from Naver, Daum, and Google as big data analysis channels. Using semantic network analysis with the keyword 'tourism platform,' a total of 29,265 words were collected. The collection period was set for two years, from August 31, 2021, to August 31, 2023. Keywords were analyzed for connected networks using TexTom and Ucinet programs for social network analysis. Keywords perceived by tourism platform users include 'travel,' 'diverse,' 'online,' 'service,' 'tourists,' 'reservation,' 'provision,' and 'region.' CONCOR analysis revealed four groups: 'platform information,' 'tourism information and products,' 'activation strategies for tourism platforms,' and 'tourism destination market.' This study aims to expand and activate services that meet the needs and preferences of users in the tourism field, as well as platforms tailored to the changing market, based on user perception, current status, and trend data on tourism platforms.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.217-224
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• 2020

This study investigates the impact levels of determinants on the Balanced Scorecard application in evaluating the performance of tourism firms in Hanoi. The tourism industry not only promotes economic development, but also contributes to expanding cultural exchanges and improving people's knowledge. However, Vietnam's tourism industry is under fierce competitive pressure, with the participation of foreign enterprises, with large amount of capital, high professionalism and wide network. The rivalry is happening aggressively on many aspects such as products and human resources. Therefore, tourism firms are in urgent needs of having effective methods to evaluate its performance in order to improve business and development efficiency. This study uses data of tourism firms in Hanoi during 2018-2019. The data used for analysis and regression consists of 135 observations. We use Cronbach's Alpha, EFA and regression model to learn the effect of different variables on the Balanced scorecard application in evaluating the performance. The results show that two determinants, including internal factors of tourism firms (IF) and external factors of tourism firms (EF) had positive relationships with the Balanced scorecard application in evaluating the performance. Based on the findings, recommendations are given for improving the Balanced scorecard application in evaluating the performance of tourism firms in Hanoi.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.497-506
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• 2022

The study was carried out to investigate the factors affecting the online purchase intention of Vietnamese consumers, focusing on Generation Z (Gen Z), through the information provided on TikTok - a social media network. Besides, the study evaluates the influence of these factors on the intention to purchase online of Gen Z. Most important; the research aims to help businesses better understand the insight of their consumers. The data were collected from 250 people who were born in the 1995 to 2010 period, living in the South of Vietnam. The study was conducted from December 2021 to March 2022 and used two analytical methods, which are exploratory factor analysis and Structural Equation Modeling. Research results show that there are 4 factors of TikTok advertisements that affect the purchase intention of Gen Z consumers, including information, entertainment, trust, and social interaction, and they all have a positive impact on the online purchase intention. In which the information factor has the most significant impact on the online purchase intention of Gen Z consumers. Based on the research results, recommendations are made to help businesses that have sold or intend to sell products via TikTok, improve the effectiveness of advertisement through the TikTok channel.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.499-509
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• 2016

The number of female government employees is increasing steadily; therefore, the importance of their effective management is also increasing. Recently, female government employees have organized and exploited their social networks to achieve career success. To obtain a better understanding of the consequences of social networking and its impact on female government employees, 262 female employees were asked to provide details about their experiences and attitudes regarding networking behavior (internal and external networking) and how they influenced affective commitment and individual adaptation performance. The results confirmed that social networking significantly increases emotional sharing, and leads to high levels of affective commitment and individual adaptation performance. The moderating roles that positive psychological capital play in the relationships between social networking (internal and external) and emotional sharing were also investigated. The results confirmed that positive psychological capital enhances the impact internal social networking has on affective commitment and individual adaptation performance. Managerial implications for developing effective female employee management strategies were provided for government managers. Based on these results, the theoretical and practical implications of the research findings are discussed, and recommendations for future research are provided.

• The Journal of Society for e-Business Studies
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• v.17 no.3
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• pp.15-41
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• 2012

Recently, there happens many purchasing cases encouraged by friends' recommendation in SNS (Social Network Service). This study investigates the effect of friend recommendation on consumers' purchasing heuristic. For this purpose, we compare the effect of friend recommendation with consumer recommendation in terms of trustworthy, specialty, relevancy. Usually, the frequency of friend recommendation is far lower than that of consumer recommendation. Hence, we examine how the effect of information source (friend recommendation or consumer recommendation) is moderated by the frequency of recommendation, as well. As results, this study finds out that, under the same frequency, friend recommendation does not have significantly stronger effect on the purchasing heuristic, although friend recommendation is evidenced as one of significant heuristic inducers. However, in terms of trustworthy, friend recommendation is significantly superior to the consumer recommendation. Moreover, under sufficiently higher frequency, friend recommendation works as better heuristic factor than consumer recommendation. The results deliver managerial implications in the perspective of understanding consumers' purchasing decisions and responding strategies of firms.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1353-1360
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• 2015

With the extreme development of Internet, recently most users refer the sites with the various Recommendation Systems (RSs) when they want to buy some stuff, movie and music. However, the possibilities of the Sybils with the malicious behaviors may exists in these RSs sites in which Sybils intentionally increase or decrease the rating values. The RSs cannot play an accurate role of the proper recommendations to the general normal users. In this paper, we divide the given rating values into the stable or unstable states and propose a system information based recommendation algorithm that minimizes the malicious user's influence. To evaluate the performance of the proposed scheme, we directly crawl the real trace data from the famous movie site and analyze the performance. After that, we showed proposed scheme performs well compared to existing algorithms.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.1
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• pp.327-347
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• 2013

The use of the Internet is spread over all areas of our lives. However, its features raised serious social issues due to unethical behavior. To understand the level of Internet ethics among undergraduate students, a survey questionnaire of 31 questions regarding netiquette awareness, ethical norms, information credibility, and personal background is devised; data was collected from 830 students. Descriptive analysis shows low level of netiquette awareness, considerable deviation from six categories of ethical norms and problems of network information credibility. Results of statistical testing show gender and grade level as factors affecting Internet ethics. However, there is no significant difference in Internet ethics depending on related education experience. Based on the results, recommendations to promote Internet ethics are suggested.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.663-669
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• 2016

This study explores the effect of tagging in Social Network Services, especially Facebook, which has become popular as a marketing platform. In Facebook, users generally make recommendations using 'Like', 'Share', or 'Tag'. 'Tag' is different from 'Like' or 'Share' in that it can be used to deliver certain messages directly to specific people based on their interests or characteristics. Tagging can be categorized into rewarded tagging and non-rewarded tagging. As a result of our exploratory research, we found that non-rewarded tagging by certain users can indicate that the people, who are tagged, are interested in the contents of the users and share the same interest as them. Also, tagging indicates that these users want to share these services, such as restaurants and tours, with their friends who are tagged in the contents. Therefore, this study sheds light on the importance of the tagging function, as well as 'Like' and 'Share'.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.141-148
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• 2022

The development of the education system and the labor market today requires new conditions for unification and functioning, the introduction of an innovative culture in the field of Education. The construction of modern management of innovative development of a higher education institution requires consideration of the existing theoretical, methodological and practical planes on which its formation is based. The purpose of the article is to substantiate the modern paradigm of organizing the mechanism of managing the innovative development of higher education institutions. Innovation in education is represented not only by the final product of applying novelty in educational and managerial processes in order to qualitatively improve the subject and objects of management and obtain economic, social, scientific, technical, environmental and other effects, but also by the procedure for their constant updating. The classification of innovations in education is presented. Despite the positive developments in the development of Education, numerous problems remain in this area, which is discussed in the article. The concept of innovative development of higher education institutions is described, which defines the prerequisites, goals, principles, tasks and mechanisms of university development for a long-term period and should be based on the following principles: scientific, flexible, efficient and comprehensive. The role of the motivational component of the mechanism of innovative development of higher education institutions is clarified, which allows at the strategic level to create an innovative culture and motivation of innovative activity of each individual, to make a choice of rational directions for solving problems, at the tactical level - to form motives for innovative activity in the most effective directions, at the operational level - to monitor the formation of a system of motives and incentives, to adjust the directions of motivation. The necessity of the functional component of the mechanism, which consists in determining a set of steps and management decisions aimed at achieving certain goals of innovative development of higher education institutions, is proved. The monitoring component of the mechanism is aimed at developing a special system for collecting, processing, storing and distributing information about the stages of development of higher education institutions, prediction based on the objective data on the dynamics and main trends of its development, and elaboration of recommendations.