• Journal of Information Technology Services
• /
• v.20 no.6
• /
• pp.125-139
• /
• 2021

To explore college students' course satisfaction over the course of the semester during which a full-scale digital transformation was in progress due to COVID-19 pandemic, this study analyzed student survey data from a university located in the metropolitan area. To minimize the respondents' burden to answer long list of detailed questions in repetition, the study utilized a pulse survey method and students were asked to answer a brief and regular set of online questions 5 times throughout the semester. The number of survey respondents ranged from 1,640 to 4,116, with an average of more than 3,700. The main results and implications of this study are summarized as follows. First, the survey data indicated that the overall student satisfaction with online courses was above average (3.46/5). Vast majority of students have chosen pre-recorded, contents-based course over real-time, video-based course as their preferred course delivery method and this tendency remained the same throughout the semester. Second, the results of keyword network analysis of open-ended questions indicated that technical issues, increased workload (e.g., course assignments and course attendance) were main causes of online course dissatisfaction. And students suggested an unified online course platform and more interactive course design to further improve online courses in the future.

• International Journal of Knowledge Content Development & Technology
• /
• v.12 no.4
• /
• pp.105-117
• /
• 2022

The study investigated digital literacy skills and utilization of online platforms for teaching by LIS educators in universities in Rivers State, Nigeria. The study was undertaken as a descriptive survey design. Three research questions and three hypotheses guided this study. The population of the study was twenty-six Lecturers from the three universities in Rivers State where library and information science are offered. The twenty-six constitute the sample size. Census sampling technique was adopted for the study. The instrument titled Digital Literacy Skills and Utilization of Online Platform for Teaching Questionnaire (DLSOPUQ) was used to elicit information from the respondents. Twenty-six copies of the questionnaire were administered and retrieved. Mean (${\bar{x}}$) was used to analyze the research questions and the null hypotheses was tested with t-test at 0.05 level of significance. The study revealed that there is no significant difference between digital literacy and utilization of online platforms for teaching by LIS educators in universities in Rivers State. Further findings revealed that LIS educators do not have the necessary skills to navigate the online environment for teaching without assistance. In conclusion LIS educators should be innovative and update their skills to meet up with global practice. It was recommended among others that LIS educators should be trained and retrained by the university management to cope with online teaching and provision of the right infrastructure by governments for effectives teaching and learning process.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.41 no.2
• /
• pp.81-100
• /
• 2016

Much effort has been exerted to analyze online texts and understand how empirical results can help improve sales performance. In this research, we aim to extend this stream of research by decomposing online texts based on text sources, namely, companies and consumers. To be specific, we investigate how online texts driven by companies differ from those generated by consumers, and the extent to which both types of online texts have different effects on online sales. We obtained sales data from one of the biggest game publishers and merged them with online texts provided by companies using news articles and those created by consumers in user communities. The empirical analyses yield the following findings. Word visualization and topic analyses show that firms and consumers generate different contexts. Specifically, companies spread word to promote their own events whereas consumers produce online words to share winning strategies. Moreover, online sales are influenced by consumer-generated community topics whereas firm-driven topics in news articles have little to no effect. These findings suggest that companies should focus more on online texts generated by consumers rather than spreading their own words. Moreover, online sales strategies should take advantage of specific topics that have been proven to increase online sales. In particular, these findings give startup companies and small business owners in variety of industries the advantage when they use the online channel for distribution and as a marketing platform.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.05a
• /
• pp.202-204
• /
• 2018

2018년 현재 한국과학기술정보연구원(KISTI)은 계산과학공학 플랫폼 기반으로 온라인 시뮬레이션이 가능한 EDISON(EDucation-research Integration through Simulation On the Net) 서비스를 제공하고 있다. 해당 플랫폼 서비스는 7개 전문분야(전산의학, 전산설계, 전산열유체, 구조동역학, 계산화학, 나노물리, 도시환경)의 학생 및 연구자들이 학습 및 시뮬레이션을 실행하고 결과를 활용할 수 있도록 지원하고 있다. 하지만 EDISON 플랫폼은 시뮬레이션 서비스에 초점을 맞춰 개발과 서비스를 제공했기 때문에 국내외 MOOC(Massive Open Online Course) 서비스들에 비해 아직 교육 콘텐츠가 부족하다. 그리하여 본 논문에서는 계산과학공학 플랫폼에 교육 콘텐츠를 체계적으로 제공하기 위한 커리큘럼 서비스를 설계 및 제안하였다.

• Korea Science and Art Forum
• /
• v.30
• /
• pp.33-40
• /
• 2017

The study has been initiated on the background of rapidly changing environment, and from the perspectives that new ecological systems are continuously generated accordingly in various fields. Recently, ICT platform, which is the platform related to information communication, has drawn much attention, and many tools are being made that can design and implement documents in a specific on-line space by utilizing UI/UX authoring tools for on-line contents sharing platforms which are public platforms for industrial and educational uses. Following these trends, actual building environment for 'XElF', a newly developed on-line contents sharing platform, and actual design proposal for UI/UX authoring tools will be described according to the sequences of building the platform. Before this design proposal is actually utilized in the future, opinions have been collected from related persons through an actual survey. Efforts are being made to reduce problems, which can be generated in the future in the actual on-line contents education environment, through the results of the study so that the platform can be produced without errors. The final results for this matter are planned to be posted by papers in the future.

• The Research Journal of the Costume Culture
• /
• v.31 no.3
• /
• pp.310-329
• /
• 2023

To compete with the growth of fashion shopping platforms in the online fashion market, general shopping platforms have begun to expand their product categories to include fashion items. This research examines the characteristics that influence consumers' trust in each of these platforms and their intention to reuse them. Applying the concept of platforms, this study also distinguishes between general shopping platforms and fashion shopping platforms and compares their characteristics. This study surveyed 788 consumers in their 20s and 30s with experience in using general shopping platforms or fashion shopping platforms (389 and 399 respondents, respectively). SPSS was used to conduct frequency analysis, factor analysis, and cross-tabulations, and AMOS was used to conduct confirmatory factor analyses and structural equation analyses. The results were as follows: platform reputation, shopping convenience, and interactivity all influenced consumer trust. For fashion shopping platforms, the product quality factor significantly improved consumer trust. However, for general shopping platforms, the product quality factor only influenced reuse intentions to reuse and did not contribute to improving trust. Platform reputation and information offering have influenced reuse intentions for both shopping platforms. Regardless of the type of shopping platform, platform reputation has influenced reuse intentions and consumer trust, and platform esthetics didn't have affect consumer trust and consumers' reuse intentions. Consumer trust influenced the intention to reuse on both platforms.

• Educational Technology International
• /
• v.6 no.1
• /
• pp.121-137
• /
• 2005

In today's information-rich society, the need for information literacy has urgency. Three tasks of information processing are filtering, meaning-matching, meaning-construction that could be strengthened through inquiry-based learning. The cycles of reflection and practice develop the habit of mind, or conscious information processing that allow the learners to acquire higher level of information literacy. An on-line inquiry-based learning environment designed for information literacy may help learners to perform their lifelong learning better with the ability to appreciate, locate, evaluate, and use information effectively.

• Journal of Contemporary Eastern Asia
• /
• v.16 no.1
• /
• pp.1-21
• /
• 2017

The Jakarta Provincial Government utilizes the YouTube channel to interact with citizens and enhance transparency. The purpose of this study is to explore online perceptions of local government image perceived by online audiences through the YouTube platform. The concepts of organizational image and credibility in the political image are adapted to analyze online public perceptions on the Jakarta Provincial Government image. Using the video summarization approach on Three hundred and forty-six official YouTube videos, which were uploaded from 1 March 2016 to 31 May 2016, and content analysis of Eight thousand two hundred and thirty-seven comments, this study shows both political and bureaucratic image emerge concurrently in the Jakarta Provincial Government case. The typology model is proposed to describe and explain the four image variations that occurred in the case study. Practical recommendations are suggested to manage YouTube channel as one of the social media used in the local government context.

• Science of Emotion and Sensibility
• /
• v.20 no.3
• /
• pp.151-168
• /
• 2017

Current research aimed to demonstrate a way to enhance the aesthetic experience of the general public while appreciating contemporary art via online platform. Contemporary art is highly complicated and are avoided by the general public. Meanwhile, previous research confirmed that external information can lead to better aesthetic experience and appreciation of the artwork. Therefore, current research hypothesized that provision of explicit information may enhance the appreciation of contemporary artworks and aimed to demonstrate which phase of the cognitive process from Leder et al. (2004) profits from the aid of written information. Experimental environment reproduced online curating platform to reflect the current trend on exhibition. In experiment 1, subjects were presented with written information and reported how well they understood the artwork, and their willingness to visit the artwork in real life. Results revealed that written information had a positive effect on overall appreciation. Further analysis discovered a full mediation between information comprehension, artwork comprehension, and willingness to visit. In experiment 2, ARS questions and an interactive interface were added. Results indicated that information enhanced comprehension and intention to visit the artwork. Expertise, self-reference, and artistic quality which belong to later stages of Leder et al. (2004) model, acquired higher scores on information conditions. In sum, the current research illustrated clear effects of explicit information in inducing better aesthetic experience and cognitive process of contemporary artworks in online environment.

• Journal of Service Research and Studies
• /
• v.14 no.1
• /
• pp.27-43
• /
• 2024

The market share of online platform services in the used car market continues to expand. And The used car online platform service provides service users with specifications of vehicles, accident history, inspection details, detailed options, and prices of used cars. SUV vehicle type's share in the domestic automobile market will be more than 50% in 2023, Sales of Hybrid vehicle type are doubled compared to last year. And these vehicle types are also gaining popularity in the used car market. Prior research has proposed a used car price prediction model by executing a Machine Learning model for all vehicles or vehicles by brand. On the other hand, the popularity of SUV and Hybrid vehicles in the domestic market continues to rise, but It was difficult to find a study that proposed a used car price prediction model for these vehicle type. This study selects a used car price prediction model by vehicle type using vehicle specifications and options for Sedans, SUV, and Hybrid vehicles produced by domestic brands. Accordingly, after selecting feature through the Lasso regression model, which is a feature selection, the ensemble model was sequentially executed with the same sampling, and the best model by vehicle type was selected. As a result, the best model for all models was selected as the CBR model, and the contribution and direction of the features were confirmed by visualizing Tree SHAP Value for the best model for each model. The implications of this study are expected to propose a used car price prediction model by vehicle type to sales officials using online platform services, confirm the attribution and direction of features, and help solve problems caused by asymmetry fo information between them.