• The Journal of Information Systems
• /
• v.27 no.3
• /
• pp.181-202
• /
• 2018

Purpose Wearable device is considered as one of the methods powering the growth of the next generation. However, ICT's innovation resistance has been a contributing factor in slowing down this spread of wearable devices. Taking into consideration the lack of empirical research to this phenomenon, this study served to examine the effect of determinants of wearable devices to usage with the perspectives of behavioral economics. Design/methodology/approach: For research purposes, this study developed research hypotheses in order to empirically examine the factors that might have a significant effect on the usage of the wearable device. The empirical research was based on a survey which carried through 500 participants. Research results were evaluated via SPSS Statistics 21.0 and AMOS 19 statistical package program. Findings: Results showed that perceived costs and benefits had a significant effect on coupling. It means that perceived benefits lowering coupling and perceived costs increasing coupling. Perceived costs and benefits also had a significant effect on innovation resistance. Finally, perceived costs and benefits had a significant effect on the consumers' usage of wearable devices.

• Journal of Korea Society of Industrial Information Systems
• /
• v.13 no.5
• /
• pp.44-54
• /
• 2008

The objective of this research is to develop a measurement instrument for service recovery quality in the Internet commerce setting. To this same end, Parasuraman et al.(2005) have devised a scale called E-RecS-QUAL, which we revised and supplemented to develop another instrument named eSR-Q. To guarantee its reliability and validity, this instrument went through the refinement and validation processes for internal consistency and construct validity in terms of convergent, discriminant, and nomological validity. Our final scale consists of four dimensions including responsiveness, compensation, contact, and apologies altogether with fourteen measures. Overall, this research deals with the related research background, the scale development and validation processes, its limitations, and future research directions.

• The Journal of Information Systems
• /
• v.23 no.1
• /
• pp.139-159
• /
• 2014

Recently, theoretical interests in automatic uses, which can be activated without conscious intention, have been increased. According to previous studies, automatic uses are known to be determined by the strength of habit, the frequency of past uses, and emotional experiences such as cognitive absorption. Concerned on the influences of the above three factors on automatic uses, this paper suggested the following research questions: 'Which effect of cognitive absorption on automatic considering habit?' and 'Does the frequency of past uses always influence habit?'. In order to answer the research questions, this study suggested a research model which would explain the relationship among cognitive absorption, habit, and uses. Especially, cognitive absorption is formed as a moderating variable of the relationship between past use and habit, and the relationships among variables are longitudinally expanded. The suggested research model was empirically tested by surveying 175 'Facebook' users and analysed by partial least square (PLS), which showed the suggested hypotheses are significant. This results answered the research questions as followed: First, cognitive absorption moderates the relationship between habit and automatic use. Second, the frequency of past uses would not always influence the formulation of habit rather but may be influenced by habit.

• The Journal of Information Systems
• /
• v.31 no.2
• /
• pp.19-43
• /
• 2022

Purpose Due to the COVID-19 pandemic, many companies are building virtual workplaces based on virtual reality technology. Through this study, we intend to identify the trend of convergence and convergence research between virtual reality technology and work space, and suggest future promising fields based on this. Design/methodology/approach For this purpose, 12,250 bibliographic data of research papers related to Virtual Reality (VR) and Workplace were collected from Scopus from 1982 to 2021. The bibliographic data of the collected papers were analyzed using Text Mining and Pathfinder Network, Parallel Neighbor Clustering, Nearest Neighbor Centrality, and Triangle Betweenness Centrality. Through this, the relationship between keywords by period was identified, and network analysis and visualization work were performed for virtual reality-based workplace research. Findings Through this study, it is expected that the main keyword knowledge structure flow of virtual reality-based workplace convergence research can be identified, and the relationship between keywords can be identified to provide a major measure for designing directions in subsequent studies.

• International Journal of Contents
• /
• v.5 no.3
• /
• pp.40-49
• /
• 2009

While numerous studies have suggested the significance of uncertainty during the process of information-seeking, less research has investigated user uncertainty in the actual search process using a real system. This study investigated user perceptions of uncertainty in the process of the selection of information retrieval system in the real information-seeking process. Considering the role of commercial Web search engines as supplementary tools for traditional bibliographic databases in academic research environments, this study analyzed the selection behavior of scholarly researchers, who use such search tools for their academic study. The researchers were limited to the discipline of science in order to understand user perceptions in this field. The findings revealed various dimensions, types, and incidents of uncertainty. Variations appeared in different incidents of uncertainty relating to the unique characteristics of the subjects' information-seeking context. The identification of three principal origins of uncertainty based on the different types of uncertainty generated implications to improve information systems and services.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.12
• /
• pp.53-61
• /
• 2016

This paper investigates the moderating effect of firm size on the relationship between environmental uncertainty and logistics information systems fit and performance, and suggests logistics strategies that would help to achieve goals. Based on our empirical research results, the findings of this paper can be summarized as follows: First, firms with higher levels of harmony between environmental uncertainty and logistics information systems fit featured significantly better logistics performance than firms with lower levels of fit. Second, logistical performance can be maximized based on the firm size and the harmonization between environmental uncertainty and logistics information systems. The results of this study will assist firms align and focus on improving competitive strategies for logistics systems.

• Information Systems Review
• /
• v.8 no.3
• /
• pp.153-174
• /
• 2006

The purpose of this study is to identify the factors affecting users' continuing use of Hedonic Information Systems(HIS). Focusing on users' post-adoption behaviors, this study proposes a research model which incorporates technology acceptance theory into expectation disconfirmation theory and investigates the causal relationship among five factors; perceived usefulness, perceived ease of use, disconfirmation, user satisfaction, and continuance intention to use a blog as HIS. The results show that satisfaction is significantly influenced by disconfirmation and post expectations(perceived usefulness and perceived ease of use), and in particular the impact of disconfirmation on user satisfaction is stronger than those of perceived usefulness and perceived ease of use. The results also indicate that while perceived usefulness and user satisfaction have significant impacts on continuance intention, perceived ease of use does not do so and has only an indirect impact on continuance intention through perceived usefulness and user satisfaction.

• Journal of Korea Society of Industrial Information Systems
• /
• v.24 no.5
• /
• pp.105-113
• /
• 2019

Korean military uses 'Tactical information communication network' to exchange information between units. In this study, we developed a media processing board for multi-party voice and video telephony based on open source software. On the other hand, in order to apply open source software for weapon systems and parts that are mounted on weapon systems, appropriate review is required according to the weapon system software development and management manual of the Defense Acquisition Program Administration (DAPA). In this study, the analysis of the requirement items was performed and the appropriate countermeasures were proposed for the open software applied to the media processing board with respect to 'the guidelines for the application of weapon systems to open source software', an appendix to the DAPA's manual.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.30 no.6D
• /
• pp.663-673
• /
• 2010

We are developing asset management information systems to introduce the preventive/proactive approach at operation and management (O&M) of infrastructures. The objective of this study is to explore the future direction for development and operation of asset management information systems. So, we developed the success model and selected the evaluation criteria for analyzing user satisfaction to assess the expected performance of asset management information systems and the degree of impact on asset management functions to operation and management of highway transportation facilities. We estimated the relative importance weight according to the selected evaluation criteria through AHP analysis. We verified the logical consistency of the importance weight and exclude biased outlier from importance weight group using the concept of the Compatibility.

• International Journal of Computer Science & Network Security
• /
• v.24 no.8
• /
• pp.14-20
• /
• 2024

Traffic sign recognition is an essential feature of intelligent transportation systems and Advanced Driver Assistance Systems (ADAS), which are necessary for improving road safety and advancing the development of autonomous cars. This research investigates the incorporation of the YOLOv9 model into traffic sign recognition systems, utilizing its sophisticated functionalities such as Programmable Gradient Information (PGI) and Generalized Efficient Layer Aggregation Network (GELAN) to tackle enduring difficulties in object detection. We employed a publically accessible dataset obtained from Roboflow, which consisted of 3130 images classified into five distinct categories: speed_40, speed_60, stop, green, and red. The dataset was separated into training (68%), validation (21%), and testing (12%) subsets in a methodical manner to ensure a thorough examination. Our comprehensive trials have shown that YOLOv9 obtains a mean Average Precision (mAP@0.5) of 0.959, suggesting exceptional precision and recall for the majority of traffic sign classes. However, there is still potential for improvement specifically in the red traffic sign class. An analysis was conducted on the distribution of instances among different traffic sign categories and the differences in size within the dataset. This analysis aimed to guarantee that the model would perform well in real-world circumstances. The findings validate that YOLOv9 substantially improves the precision and dependability of traffic sign identification, establishing it as a dependable option for implementation in intelligent transportation systems and ADAS. The incorporation of YOLOv9 in real-world traffic sign recognition and classification tasks demonstrates its promise in making roadways safer and more efficient.