• Journal of Digital Convergence
• /
• v.14 no.7
• /
• pp.289-297
• /
• 2016

The purpose of this study was to examine relationships among information resources use, problem solving ability, nursing information literacy competency in general hospital nurses. The descriptive correlational study design was used. The data were collected from 141 nurses working in the two general hospital located G city using self-reported questionnaires. Data were analyzed using SPSS statistics 20.0 program. As results of multiple regression analysis, the factors affecting nursing information literacy competency were problem solving ability and electronic information resources use. And this model could explain 38.0%(F=43.73, p<.001). Considering the findings from this study, nurses need to develop problem solving ability and electronic information resources use improvement program for them.

• The Journal of Information Systems
• /
• v.31 no.2
• /
• pp.197-216
• /
• 2022

Purpose In this study, in order to understand the effects of NTIS users' behavioral scientific behaviors and determinants, an integrated model of the UTAUT(Unified Theory of Acceptance and Use of Technology) model and TTF(Task-Technology Fit) model, which are frequently used MIS field, was presented and empirical analysis was conducted. Design/methodology/approach In this study, an online survey was conducted on researchers from organizations carrying out national R&D projects, institutions, universities, and dedicated management institutions and the collected data verified hypotheses established using the SPSS 25.0 statistical package and structural equation model using AMOS. Findings The results showed that NTIS users' business activities had a positive(+) effect on task-technology fit and task-technology fit had a positive(+) effect on performance expectation, effort expectation, and continuous intention-to-use intention. In addition, the performance expectation, effort expectation, and promotion conditions presented in research model had a positive(+) effect on the continuous intention-to-use. The research results derived through this study are expected to contribute substantially to subsequent research in the field related to information sharing platforms.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.10
• /
• pp.207-219
• /
• 2014

The purpose of this study was to investigate the effect of social media use motive and credibility on social capital. In particular, it explored the motivations for the use of most influential SNS in Korea, Facebook. The result of analysis showed that the use motive, information exchange and making relationship, influenced significantly on social capital. Second, the credibility of social media influenced significantly on social capital(bonding social capital and bridging capital).

• The Journal of Information Systems
• /
• v.27 no.4
• /
• pp.129-147
• /
• 2018

Purpose The purpose of this study is to identify the effects of users' perceived value of food delivery Apps and information quality on acceptance and intention to reuse of food delivery Apps. Design/methodology/approach This study made a design of the research model by integrating the factors of perceived value and information quality with the acceptance and continued usage of delivery Apps on the basis of the TAM (Technology Acceptance Model). Findings The results of this study suggests that perceived emotional value and monetary value, accuracy and timeliness of information have significant positive effects on usefulness and easiness of food delivery Apps. Meanwhile, both usefulness and easiness of food delivery Apps have significant positive influences on users' continually use intention. Furthermore, implications in terms of the findings of this study are discussed.

• Journal of Information Technology Services
• /
• v.20 no.4
• /
• pp.113-128
• /
• 2021

In the rapidly developing 4th industrial revolution. RPA is increasing in use at home and abroad due to its advantages of simplifying workflow and providing flexibility and scalability at the same time. Thus, this paper conducted an empirical study on companies using RPA to determine which factors affect the intention to use the services provided by RPA systems. As system characteristics, exogenous variables were selected as information quality, system quality, and service quality of the information system success model. The endogenous variables were selected as the system acceptance factors for the performance and effort expectancy of the integrated technology acceptance model, and the perceived economic values and functional values were additionally selected. For the purpose of this study, a structured questionnaire was used for empirical analysis and the proposed hypothesis was verified through the path analysis of structural equations. As a result of the study, there was no significant relationship between service quality and effort expectancy, between service quality and economic value, and it was verified that the relationship between other factors was positively significant.

• The Journal of Society for e-Business Studies
• /
• v.6 no.1
• /
• pp.69-81
• /
• 2001

No organization can survive in today's modern society of information and high technology without internet and/or intranet. International convention industry is one of many high-technology dependent fields today which have started gathering new attention since the new millennium had begun. According to our survey, no professional convention organizer has used so far any type of integrated information system which is the vital source of support of the convention industry. Only the general purpose office softwares have been in use. The main purpose of this study is to design a model for ICIMS(International Convention Information Management System) to manage all the related information of international convention in a systematic and integrated way and to implement its prototype. International convention system in general had been analyzed to enhance the level of accuracy of the model for ICIMS. A simulation of an international conference was conducted to test the core module of the ICIMS model.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.9 no.3
• /
• pp.46-57
• /
• 2006

The purpose of this study is to develop a GIS-based digital Forest Land-use(FLU) Map Building Process which will be adopted as the map publishment methodology for the official FLU Map notification in 2007. The process is composed of 6 steps, extracting forest lands from Continuous Land Map(CLM), extracting forest land borders restricted by other laws, extracting boundaries between semi- and reserve forest lands, making digital FLU map by integrating spatial and attribute data among the extractions, printing FLU map and FLU register, and re-correcting zoning errors. Through the process, in 1:25,000 and 1:5,000 scale, 14 and 173 sheets of the FLU Maps and it's register were created for the whole area of Hwaseong, Kyunggi.

• 한국노년학
• /
• v.32 no.3
• /
• pp.835-850
• /
• 2012

The recent trend shows that the number of internet users among older adults and their level of the ability to use internet have been increased. The purpose of this study is to investigate the phenomenon of senior information technology. Using qualitative descriptive method, this study aims to explore how and in which context older adults use internet. It also aims to address the nature and the outcomes of elderly people's use of internet in their daily lives. In-depth interviews with 16 older participants were analyzed with qualitative content analysis and constant comparison method. The finding shows as follows: (1) agonies felt by the "ambiguous" age group in the modern society, (2) the analogue generation joining the digital, (3) daily changes according to the internet use, (4) senior information technology and its flip side of coin. Based on the research findings, implications for senior information policy are addressed in three ways: promoting productive use of internet among older adults, meeting their health-related concerns using internet, and finding ways to integrate the idea of humanities into senior information technology.

• The Journal of Information Systems
• /
• v.25 no.4
• /
• pp.1-21
• /
• 2016

Purpose The study analyzed the factors affecting continuance use and self-disclosure in the SNS(social networking service) context based on a dual-factor model. As SNS users have concerned privacy for a long time, privacy concern affects continuous use and self-disclosure. In details, concern over privacy may have a stronger effect on self-disclosure than on continuance use as users' personal information can be more exposed during posting their dailies and photos. Design/Methodology/Approach SNS benefits, trust in SNS providers, and social influence are served as the key enablers and privacy concern as the inhibitor. Moreover, the relative impacts of SNS benefits and privacy concern on continuance use and self-disclosure were analysed in this study. From the data of 327 Facebook users, the researchers tested proposed theoretical model by using PLS. Findings Users' continuance intention and self-disclosure behavior are differently affected by different antecedents. Trust in SNS provider had a significant effect on self-disclosure intention, while it has no significant effect on continuance intention. Concern over privacy was negatively related to self-disclosure intention, while it was positively associated with continuance intention.

• Journal of Advanced Navigation Technology
• /
• v.18 no.2
• /
• pp.151-157
• /
• 2014

Recently UAV(unmanned aerial vehicle) is frequently used not only for military purpose but also for civil purpose. UAV automatically navigates following the coordinates input in advance using GPS information. However it is impossible when GPS cannot be received because of jamming or external interference. In order to solve this problem, we propose a real-time segmentation and classification algorithm for the specific regions from UAV image in this paper. We use the super-pixels algorithm using graph-based image segmentation as a pre-processing stage for the feature extraction. We choose the most ideal model by analyzing various color models and mixture color models. Also, we use support vector machine for classification, which is one of the machine learning algorithms and can use small quantity of training data. 18 color and texture feature vectors are extracted from the UAV image, then 3 classes of regions; river, vinyl house, rice filed are classified in real-time through training and prediction processes.