• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.385-391
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• 2022

The relevance of the published study lies in the fact that since the introduction of the first Global Distribution System, new information and communication technologies have constantly been changing the tourism industry. In the context of a current digital environment, travel agencies can't avoid participating in digital transformation processes aimed at rethinking operational models, skills, and organisational structures in the regions. This publication aims to present and provide a critical overview of digitalisation processes in tourism development in the regions of the Russian Federation, as well as to reflect on the challenges to the widespread digitalisation processes in the regional tourism sector. The subject of research is digitalisation processes, as they radically transform the modern tourism industry, in the regions as well. The pragmatic research paradigm was considered the most appropriate for the study of tourism digitalisation processes in the regions, as it does not require the selection of a specific theoretical basis for data collection. The pragmatic approach forms an alternative to classical theoretical approaches and serves as a particular type of grounded theory, combining both inductive and deductive methods. No software was used for the inductive part of the analysis. The deductive part was conducted using the qualitative data analysis software Nvivo 11. Given the wide diversity of interested parties in the regional tourism digital area, a stratified purposive sampling method was preferred due to its ability to adequately represent the full picture of the phenomenon under study. The selection and stratum criteria were chosen to maximise the representation of different perspectives in the regional tourism digital area. The novelty of the study is due to the digitalisation processes, with an implication of new needs, while opening up promising opportunities for more productive tourism business in the regions of the Russian Federation. Currently, e-tourism in the Russian Federation has become a subject of lively debate among scholars and practitioners. However, the involvement of advanced digitalisation technologies in the field of information processes in the regions of the Russian Federation is of a very sporadic character.

• The Journal of Korean Association of Computer Education
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• v.16 no.2
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• pp.49-60
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• 2013

The purpose of this study was to analyze inductively Critical Success Factors of Digital Textbook-Based Instruction based on qualitative research. To accomplish the purpose of the study, D elementary school in Incheon, one of digital textbook model schools, was selected as the school for observation. Three fifth graders and their teacher were interviewed and their six lessons were used for analyzing teaching and learning activities in digital textbook-based instruction. The results of the study, 'the use of systematic strategies based on multimedia features', 'information literacy-related questions and answers', 'specific guidance and help', 'the stability of the physical system and equipment', 'active collaborative learning and interaction', 'individual self-directed learning', 'consideration of emotional/physical changes', 'selection and concentration based upon available resources were identified as critical success factors of digital textbook-based instruction.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.75-87
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• 2014

The purpose of this study was to investigate the educational usefulness, problems of smartpad-based instruction in elementary school based on qualitative research. To accomplish the purpose of the study, D elementary school in metropolitan area, two classes of digital textbook model school for seven years, were selected as the classes for observation. Six fourth and fifth graders and their teachers were interviewed and their 10 lessons were used for analyzing teaching and learning activities in smartpad-based instruction. The results of the study, 'Facilitating collaboration and interaction', 'effective use of various resource and SNS', 'improving concentrativeness', 'shortening waiting time' were identified as main educational usefulness. 'Lack of learning supporting tools', 'focusing on function rather than learning contents', 'low learning effectiveness', 'interference of flow' were presented as problems in using smartpad in classroom. Finally, some practical tasks for effective application of smartpad-based instruction were recommended.

• Journal of Gifted/Talented Education
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• v.20 no.2
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• pp.427-459
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• 2010

The personal introduction of 2009 academic year Korea Science Academy (KSA) freshman, 143 persons, recommendation that is filled with giftedness cases and observation recording through observing the students by guidance teacher and professor, and Observation recording paper about students that is made by parents, were analyzed in order to investigate behavior characteristics of the Scientifically Gifted by Computer Assisted Qualitative Data Analysis System (CAQDAS). We could divide behavior characteristics of the Scientifically Gifted to 5 main categories by study results. As well as this study may make up for foreign researches and existing researches dependent on quantitative research about behavior characteristics of the Scientifically Gifted, This can be used as a useful data for development of instrument for identifying the scientifically Gifted and teaching-studying program by supporting understand behavior characteristics of the Scientifically Gifted as a specific area of giftedness.

• (The)Korea Educational Review
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• v.15 no.1
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• pp.107-132
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• 2009

What is good instruction? The term "instruction" means the essential activity of school education, a precondition for good school, and the starting point of reforming school education. The purpose of this study is to investigate the meaning of "good instruction" by examining the difference of perception between in-service teachers and pre-service teachers who encompass the viewpoint of both teacher and student using open-ended questionnaires asking the type of instruction that they have to avoid and the undesirable instruction. This study was carried out with 150 teachers who were working in the schools and 160 students who were in college of education to be teacher in the future. Collected data was analyzed using the QSR Nvivo qualitative program. The findings of this study indicates the followings: First, the most undesirable class cited by in-service teachers was the class that applies uniform instructional strategy, followed by class based on directions instruction, unsystematic class, class characterized by lack of teaching competency, class that emphasizes test scores and competition, class that are not interactive enough, class that does not consider the level of students, class in which students are not respected, class that have poor educational environment, and the class in which little support is provided. Second, the most undesirable class cited by pre-service teachers was the class that applies uniform instructional strategy, followed by unsystematic class, class characterized by lack of teaching competency, class based on directions instruction, class in which students are not respected, class that emphasizes test scores and competition, class that does not consider the level of students, class that are not interactive enough, class that have poor educational environment, and the class in which little support is provided. Third, this study examined the difference of perception between in-service teachers and pre-service teachers toward the undesirable class that they have to avoid. In terms of the integrated rank that is common among in-service teachers and pre-service teachers, the most undesirable class that they have to avoid was the class that applies uniform instructional strategy, unsystematic class, class based on directions instruction, and class characterized by lack of teaching competency. The findings of this study may be used as a basis for in-service teachers to reflect on their professionalism of instruction that they provide and examine the attitude of students toward instruction, while providing a practical guideline for pre-service teachers to design and ensure systematic instruction in the future.

• Journal of agriculture & life science
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• v.50 no.4
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• pp.45-57
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• 2016

The average income of forestry household was only 54.3% of urban workers's and 67.6% of farms household's income based on the data from statistics Korea in 2012. This indicates that forestry, which is a labor-intensive primary industry, has the limitation for creating added value. On the other hand, the demands for forest healing and forest experiential program have been continuously increased with new lifestyle focusing on the quality of life and increased leisure time. Therefore, it is necessary to establish comprehensive policies to increase added value except forestry to respond forest demands. The project utilizing forest healing can be on of solutions to meet forest demands. Thus, this research intends to investigate an economic revitalization plan for mountain villages with forest healing. The characteristics of forest healing facilities and contents of forest healing programs were examined through internet searching, fields surveys, and expert interviews. Total 186 concepts, 8 categories, and 24 subcategories were derived from raw data of surveys. The application process of forest healing was also provided to encourage local economy of mountain areas. This research offers application procedure of the forest healing for regional economic vitalization in Mountain Villages interviews using grounded theory by Strauss and Corbin(1988) as well as NVio11. This research contributes to prepare the base of future quantitative studies by providing strategies and suggestions for the application plans of forest healing programs. In addition, this research offers basic data for the policies to establish and manage forest healing villages.

• Asia Marketing Journal
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• v.13 no.1
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• pp.27-50
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• 2011

In today's market scenario, consumers are bombarded with similar promotional messages. It means that managers have to pay attention to promotion strategy to create strong effect as well as to break through the monotony. In this context, although there are strong needs concerning tie-in promotion, research investigating tie-in promotion is limited. Therefore, we extracted tie-in promotion tools and defined the concept of each tie-in promotion tool by analyzing various tie-in promotion cases which are executed in current market. In addition, consumer's recognition of tie-in promotion was investigated through the in-depth interview. The results of case analysis of tie-in promotion and in-depth interview are summarized as follows. First, 9 tie-in promotion tools were extracted: tie-in price reductions, tie-in coupons, tie-in membership, tie-in contests, tie-in premiums (tangibility, intangibility), tie-in payment terms, tie-in sample, tie-in event(culture event, charity event, experience event) and tie-in fund·rebate. Second, 3 categories of the recognition of the consumer for tie-in promotion were extracted: features of preferred tie-in promotion, expectation benefit of tie-in promotion, and risk factors of tie-in promotion. Especially, at the aspect of features of preferred tie-in promotion, fit between consumer pursuit benefit and tie-in promotion was found to be interesting. Moreover, the recognition of the consumer for tie-in promotion were divided with positive(preferred tie-in promotion features, expectation benefit of tie-in promotion) and negative(risk factors of tie-in promotion) factors. In conclusion, the company's effort will be necessary to lower the perceived risk level occurring from the process of accomplishing the tie-in promotion strategy since consumers recognize both positive and negative effects of tie-in promotion.

• Asia pacific journal of information systems
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• v.19 no.1
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• pp.33-62
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• 2009

Internet computing is a disruptive IT innovation. Semantic Web can be considered as an IT innovation because the Semantic Web technology possesses the potential to reduce information overload and enable semantic integration, using capabilities such as semantics and machine-processability. How should organizations adopt the Semantic Web? What factors affect the adoption and diffusion of Semantic Web innovation? Most studies on adoption and diffusion of innovation use empirical analysis as a quantitative research methodology in the post-implementation stage. There is criticism that the positivist requiring theoretical rigor can sacrifice relevance to practice. Rapid advances in technology require studies relevant to practice. In particular, it is realistically impossible to conduct quantitative approach for factors affecting adoption of the Semantic Web because the Semantic Web is in its infancy. However, in an early stage of introduction of the Semantic Web, it is necessary to give a model and some guidelines and for adoption and diffusion of the technology innovation to practitioners and researchers. Thus, the purpose of this study is to present a model of adoption and diffusion of the Semantic Web and to offer propositions as guidelines for successful adoption through a qualitative research method including multiple case studies and in-depth interviews. The researcher conducted interviews with 15 people based on face-to face and 2 interviews by telephone and e-mail to collect data to saturate the categories. Nine interviews including 2 telephone interviews were from nine user organizations adopting the technology innovation and the others were from three supply organizations. Semi-structured interviews were used to collect data. The interviews were recorded on digital voice recorder memory and subsequently transcribed verbatim. 196 pages of transcripts were obtained from about 12 hours interviews. Triangulation of evidence was achieved by examining each organization website and various documents, such as brochures and white papers. The researcher read the transcripts several times and underlined core words, phrases, or sentences. Then, data analysis used the procedure of open coding, in which the researcher forms initial categories of information about the phenomenon being studied by segmenting information. QSR NVivo version 8.0 was used to categorize sentences including similar concepts. 47 categories derived from interview data were grouped into 21 categories from which six factors were named. Five factors affecting adoption of the Semantic Web were identified. The first factor is demand pull including requirements for improving search and integration services of the existing systems and for creating new services. Second, environmental conduciveness, reference models, uncertainty, technology maturity, potential business value, government sponsorship programs, promising prospects for technology demand, complexity and trialability affect the adoption of the Semantic Web from the perspective of technology push. Third, absorptive capacity is an important role of the adoption. Fourth, suppler's competence includes communication with and training for users, and absorptive capacity of supply organization. Fifth, over-expectance which results in the gap between user's expectation level and perceived benefits has a negative impact on the adoption of the Semantic Web. Finally, the factor including critical mass of ontology, budget. visible effects is identified as a determinant affecting routinization and infusion. The researcher suggested a model of adoption and diffusion of the Semantic Web, representing relationships between six factors and adoption/diffusion as dependent variables. Six propositions are derived from the adoption/diffusion model to offer some guidelines to practitioners and a research model to further studies. Proposition 1 : Demand pull has an influence on the adoption of the Semantic Web. Proposition 1-1 : The stronger the degree of requirements for improving existing services, the more successfully the Semantic Web is adopted. Proposition 1-2 : The stronger the degree of requirements for new services, the more successfully the Semantic Web is adopted. Proposition 2 : Technology push has an influence on the adoption of the Semantic Web. Proposition 2-1 : From the perceptive of user organizations, the technology push forces such as environmental conduciveness, reference models, potential business value, and government sponsorship programs have a positive impact on the adoption of the Semantic Web while uncertainty and lower technology maturity have a negative impact on its adoption. Proposition 2-2 : From the perceptive of suppliers, the technology push forces such as environmental conduciveness, reference models, potential business value, government sponsorship programs, and promising prospects for technology demand have a positive impact on the adoption of the Semantic Web while uncertainty, lower technology maturity, complexity and lower trialability have a negative impact on its adoption. Proposition 3 : The absorptive capacities such as organizational formal support systems, officer's or manager's competency analyzing technology characteristics, their passion or willingness, and top management support are positively associated with successful adoption of the Semantic Web innovation from the perceptive of user organizations. Proposition 4 : Supplier's competence has a positive impact on the absorptive capacities of user organizations and technology push forces. Proposition 5 : The greater the gap of expectation between users and suppliers, the later the Semantic Web is adopted. Proposition 6 : The post-adoption activities such as budget allocation, reaching critical mass, and sharing ontology to offer sustainable services are positively associated with successful routinization and infusion of the Semantic Web innovation from the perceptive of user organizations.