• Title/Summary/Keyword: 설문조사시스템

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Decision Support Model for Determining Public or Private Highway Investment Projects (고속도로 건설사업의 재정/민자 발주선택 의사결정 지원모델)

  • Yeo, Donghoon;Jeong, Wooyong;Han, Seung Heon;Lee, Young Cheon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.3D
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    • pp.381-389
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    • 2009
  • Korean government is investing 1.8 billion won on infrastructure and investment on PPP projects constitutes 16.3%. This phenomenon is to promote private investment as well as lessening government burdens of public budgeting. However, the only criterion to be considered is government financial status in selecting public or private highway investment projects. So systematic decision support model is required in choosing public or private highway investment projects. So, this paper suggests a systematic decision support model for deciding public or private highway investment at the early stage of project planning. Furthermore, this paper identifies key decision variables with respect to economic, politic, project management criterions based on the related literatures and feedbacks from experts. This paper analyzed 30 cases of government investment and PPP projects and got the survey result from highway specialists. As a result, this paper presents an interval with respect to economic criteria using mean and standard deviation and a logistic regression equation which can predict the possibility of PPP project. Through this study, decision maker of central or local government can decide public or PPP highway project more systematically and reasonably.

A Study on Awareness of the Revitalization of Tourism Promotionality through Focus Group Interview : Focus on the Gyeongsangbuk-do Area (관광 홍보관 활성화에 관한 인식 : 경상북도 지역 중심으로)

  • Nam, Tae-Suk;Hur, Jong-Guk
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.6
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    • pp.1-14
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    • 2019
  • This study explored ways to activate tourism promotion centers located in 23 regions of Gyeongsangbuk-do and carried out qualitative research through FGI(Focus Group Interview) to the heads of tourism promotion agencies, public officials, and professors. The FGI(Focus Group Interview) analysis results discussed the problems of tourism promotion and information center facilities recognized by stakeholders in Gyeongsangbuk-do and service improvement cooperation. At a time when the importance of the tourism industry is being emphasized, it is time to expand and improve the facilities of the tourism promotion center as a tourism information facility for Koreans and foreigners. Gyeongsangbuk-do Province has a natural environment and unique tourism resources that can become a tourist attraction in South Korea. In particular, four topics were drawn: providing satisfaction with visitors linked to regional economic revitalization cooperation and tourism guidance, and measures to boost revenue generation at public relations centers and information centers in Gyeongsangbuk-do.

A Literature Review on Unmet Needs of High-Prevalence Cancer Survivors: Focus on Breast Cancer, Thyroid Cancer, Colorectal Cancer, and Lung Cancer (호발암 생존자의 미충족 수요에 대한 문헌 고찰: 유방암, 갑상선암, 대장암, 폐암을 중심으로)

  • Da-Seul Kim;Sun-Mi Kim;Jeong Seok Seo
    • Korean Journal of Psychosomatic Medicine
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    • v.31 no.2
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    • pp.50-62
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    • 2023
  • Objectives : This study aimed to identify unmet needs and influencing factors for patients who have breast cancer, colorectal cancer, lung cancer, and thyroid cancer. Methods : We reviewed the SCIE publications on unmet need of four prevalent cancer patients published after 2010 through a web search. Results : The measurement tools primarily used were Cancer Survivors' Unmet Needs and Supportive Care Needs Survey questionnaire. Lung cancer patients reported a relatively higher rate of unmet needs. Breast cancer patients frequently reported unmet needs in the healthcare system and information, while thyroid cancer patients in post-treatment management and psychological issues. Colorectal cancer patients reported unmet needs in psychological and comprehensive care domain, and lung cancer patients reported unmet needs in physical and daily life management. Younger age, a shorter time since diagnosis or treatment, and higher levels of anxiety, depression, distress, and reduced quality of life were associated with more significant unmet needs. Conclusions : Unmet needs and influencing factors vary by cancer type. Considering the characteristics of each patient group and unmet needs can help in development of more effective treatment and support programs.

Hotel employee's perceptions of artificial intelligence concierge robots effect on switching cost, resistance, turnover intention (호텔 종업원의 인공지능 컨시어지로봇에 대한 인식이 전환비용, 저항 및 이직의도에 미치는 영향)

  • Wang, Danping;Chung, Namho
    • Journal of Service Research and Studies
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    • v.13 no.4
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    • pp.206-223
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    • 2023
  • The introduction of Smart technologies such as Artificial Intelligence(AI) systems are have a powerful impact in a variety of industry fields. Some experts predict that smart technology will completely change people's daily life and work styles, causing technological innovation, productivity improvement, and discovery and emergence of new fields. On the one hand, this vision cannot ignore negative views and concerns. Despite many social debates about employment, such as job loss and rising unemployment, there have not been many studies based on employee experience that provide a fundamental solution to the conflict between AI and employment. Therefore, this study finds out the effects and related factors of AI concierge robots for hotel employees, focusing on the hotel industry, and how employees' perceptions of AI concierge robots affect user resistance and turnover intention. This study, conducted a questionnaire survey of 322 hotel employees who had experience working with AI concierge robots in China, and used SPSS and SmartPLS statistical analysis programs to draw conclusions. We found that hotel employees' perceptions of AI concierge robots were significantly related to user resistance and turnover intention, and this association was related to employee self-efficacy, perceived organizational support, quality of AI services and new tasks. In addition, it was found that the quality of AI concierge robots directly or indirectly had the greatest influence on user resistance and turnover intention. The findings of this study provide theoretical implications for academia and practical implications for industry practitioners.

The Effect of Influencer Characteristics on Continuous Use Intention of Live Commerce : Focusing on the Dual Mediating Effect of Interaction and Trust (라이브 커머스 인플루언서 특성이 지속 사용의도에 미치는 영향 : 상호작용성과 신뢰성의 이중매개효과를 중심으로)

  • Kim, Sung-jong;Chung, Byoung-gyu
    • Journal of Venture Innovation
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    • v.5 no.4
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    • pp.23-39
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    • 2022
  • This study was conducted to empirically analyze the factors influencing the intention to continue using live commerce, which was active as digital contacts become more prevailed due to the progress of the 4th industrial revolution and the COVID-19 pandemic. A research model was established by paying attention to the characteristics of influencers among various influencing factors. Influencer characteristics were subdivided into attractiveness, professionality, awareness, and entertainment. In addition, the dual mediating effect of interaction and trust was also tested between influencer's characteristics and the intention to continue using of live commerce. To this end, a survey was conducted targeting people who have experience using live commerce, and 300 valid samples were analyzed. The empirical analysis utilized SPSS 25.0 and Process Macro 4.0. As a result of the empirical analysis, it was found that attractiveness, professionality, awareness, and entertainment derived from the characteristics of influencers all had a significant positive (+) effect on the intention to continue using live commerce. The impact of the influence of variables that directly affect the intention to continue using was in the order of entertainment, awareness, professionality, and attractiveness. On the other hand, as a result of examining the dual mediating effect of interaction and trust, it was found that they all tested a mediating role between attractiveness, professionality, awareness, entertainment, and intention to continue using live commerce. Based on these research results, the academic and practical implications of this study were presented.

"An Analysis Study of Factors for Strengthening Cybersecurity at the Busan Port Container Terminal (부산항 컨테이너 터미널 사이버 보안 강화를 위한 요인 분석연구)

  • Do-Yeon Ha;Yul-Seong Kim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.11a
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    • pp.64-65
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    • 2023
  • The purpose of this study was to assess the current status of cyber security at the Busan Port container terminal and derive strengthening factors through exploratory research. In recent years, the maritime industry has actively adopted Fourth Industrial Revolution technologies, resulting in changes in the form of ports, such as automated and smart terminals. While these changes have brought positive improvements in port efficiency, they have also increased the potential for cyber security incidents and threats, including information leakage through cargo handling equipment and ransomware attacks leading to terminal operations disruption. Especially in the case of ports, cyber security threats can have not only local effects within the port but also physical damage and implications for national security. However, despite the growing cyber security threats within ports, research related to domestic port cyber security remains limited. Therefore, this study aimed to identify factors for enhancing cyber security in ports and derive future enhancement strategies. The study conducted an analysis focusing on the Busan Port container terminal, which is one of the leading ports in South Korea actively adopting Fourth Industrial Revolution technologies, and conducted a survey of stakeholders in the Busan Port container terminal. Subsequently, exploratory factor analysis was used to derive strengthening factors. This study holds significance in providing directions for enhancing cyber security in domestic container ports in the future.

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The Effect of Cooperative Learning on Self-directed Learning Ability (협동학습이 자기주도학습 능력에 미치는 효과)

  • KIM KYUNG HEE;CHOI JOO YOUNG
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.889-897
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    • 2023
  • This study attempted to examine how participation in a cooperative learning extracurricular program affects the improvement of college students' self-directed learning abilities. In order to operate a cooperative learning extracurricular program, students were recruited voluntarily through the school system. A total of 128 students were selected. They formed groups according to the number of participants and participated in the cooperative learning extracurricular program for 9 weeks. Before the program was implemented and after the program was terminated, a survey was conducted on the self-directed learning ability of participating students through a questionnaire. The effectiveness of the program was examined through pre-post tests of the experimental group. The results are as follow. First, the self-directed learning ability scores of students who participated in the cooperative learning extracurricular program significantly improved. Second, in order to closely analyze self-directed learning ability, the sub-elements of self-directed learning ability were examined, and the scores of self-awareness and learning strategy, which are sub-elements of self-directed learning ability, were found to have significantly increased. However, although scores for learning motivation and learning situations improved, the levels were not found to be statistically significant. Based on these results, we presented discussions for improving college students' self-directed learning ability and ways to revitalize cooperative learning in universities.

A Study on the Concept Definition and Institutional Foundations of Local Forestry Using the Delphi Technique (델파이 기법을 적용한 지역임업 개념의 정의와 제도 기반에 관한 연구)

  • Ju Yeon Kim;Jae Hyun Kim
    • Journal of Korean Society of Forest Science
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    • v.113 no.2
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    • pp.239-258
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    • 2024
  • In the face of complex crises such as a shrinking society, regional imbalance, and climate change, there is a need to seek sustainable development in local communities. In the forest sector, attempts are being made to link forest resources with local industries. However, the current support system, which is centered on the central government, has limitations in achieving sustainable forest management. On the other hand, the international community is actively promoting a shift in systems by introducing the concept of local forestry, which emphasizes local initiatives to achieve sustainable forest management. However, in the Republic of Korea, the concept of local forestry is still unclear, which hinders the promotion of a paradigm shift. In this paper, we applied the Delphi technique to conduct three surveys of 29 academics, administrators, and field experts in the Republic of Korea. The aim was to define the concept of local forestry that is suitable for domestic conditions and identify institutional measures to establish and revitalize it. The results showed that local forestry can be defined as a broad concept that is both consultative and systemic in nature and that an institutional approach that supports actors and their activities is necessary to revitalize local forestry.

Generating Sponsored Blog Texts through Fine-Tuning of Korean LLMs (한국어 언어모델 파인튜닝을 통한 협찬 블로그 텍스트 생성)

  • Bo Kyeong Kim;Jae Yeon Byun;Kyung-Ae Cha
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.3
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    • pp.1-12
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    • 2024
  • In this paper, we fine-tuned KoAlpaca, a large-scale Korean language model, and implemented a blog text generation system utilizing it. Blogs on social media platforms are widely used as a marketing tool for businesses. We constructed training data of positive reviews through emotion analysis and refinement of collected sponsored blog texts and applied QLoRA for the lightweight training of KoAlpaca. QLoRA is a fine-tuning approach that significantly reduces the memory usage required for training, with experiments in an environment with a parameter size of 12.8B showing up to a 58.8% decrease in memory usage compared to LoRA. To evaluate the generative performance of the fine-tuned model, texts generated from 100 inputs not included in the training data produced on average more than twice the number of words compared to the pre-trained model, with texts of positive sentiment also appearing more than twice as often. In a survey conducted for qualitative evaluation of generative performance, responses indicated that the fine-tuned model's generated outputs were more relevant to the given topics on average 77.5% of the time. This demonstrates that the positive review generation language model for sponsored content in this paper can enhance the efficiency of time management for content creation and ensure consistent marketing effects. However, to reduce the generation of content that deviates from the category of positive reviews due to elements of the pre-trained model, we plan to proceed with fine-tuning using the augmentation of training data.

Customer-perceived distributive peer justice climate, community identification, C2C interaction quality, and helping intention in MMORPG contexts (고객의 분배공정성분위기 지각과 커뮤니티동일시, 고객간상호작용인식, 도움행동의도의 관계에 대한 연구)

  • Hyun Sik Kim
    • Journal of Service Research and Studies
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    • v.14 no.2
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    • pp.158-177
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    • 2024
  • This paper proposes and tests a theoretical model of the relational link between a novel form of customer-perceived fairness for a reward design (distributive peer justice climate) and C2C helping intention via community identification and online C2C interaction (friend-, neighboring customer-, audience-interaction) qualities in a collective consumption context (MMORPG). To test hypotheses, we amassed survey data within a collective consumption context (massively multiplayer online role-playing games, MMORPGs). We used structural equation modeling in analyzing the survey data. The results reveal that user-perceived distributive peer justice climate for a reward design enhances their C2C helping intention via community identification and C2C interactions in MMORPG contexts. Collective consumption-type service managers should focus on promoting the user-perceived distributive peer justice climate for their reward system to enhance users' present C2C co-creation experience (community identification, C2C interaction) and future C2C co-creation behavior (helping intention). By adopting an intra-unit level distributive justice concept (customer-perceived distributive peer justice climate) to a reward design in a collective consumption context (MMORPGs), this study informed collective consumption-type service managers of the importance of its management.