• Asia pacific journal of information systems
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• v.16 no.3
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• pp.29-47
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• 2006

Many companies have been implementing Enterprise resource planning (ERP) systems for their organizational transformation in order to survive and achieve strategic advantages in an increasing competitive business environment. Thus, it is meaningful to identify factors that affect ERP system operation positively. Organizational citizenship behaviors (OCB) are discretionary, extra-role behaviors of employees which go beyond the prescribed formal roles, and are known as to be the contribution factors for organization performance. The purpose of this study is to develop the measurements for the OCB constructs in ERP system context and empirically test the relationships between the OCB construct and ERP system success. The four constructs - altruism, conscientiousness and courtesy, civic virtue, and sportsmanship - and fifteen measurements on the OCB were developed based on previous studies (i.e. Organ 1988) and empirically verified by confirmatory factor analysis. The results of testing the relationships between the OCB and ERP system success show that the OCB have a significant direct impact on the information quality and intention of IT innovation while they have an indirect impact on work efficiency mediated by information quality. This study enhances the OCB model into information system arena and helps better understand the user behaviors of information systems.

• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.179-197
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• 2019

Although there have been lots of studies about users' behaviors online, few have explored the mechanism of hostile behaviors. In this sense, this study aims at discovering what may elevate users' hostile behaviors. More specifically, we tried to find the relationship between flaming behavior and perception factors such as perceived risk, anonymity and expected emotional reaction. A survey was conducted to investigate the relationship of the above variables. As a result, all these variables show significant effects on flaming, and information overload are found to act as a moderator. We carefully conclude that flaming in online community can be reduced by preventing information overload each user perceives.

• Asia pacific journal of information systems
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• v.33 no.2
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• pp.389-417
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• 2023

Social distancing required the use of doorstep delivery for nearly all purchases during the COVID-19 pandemic. Foreign users in Korea are forced to participate in superfluous tasks, leading to an increase in their anxiety and fatigue while online shopping. This study examines how digital shadow work stemming from the language barrier can affect the emotions and behaviors of foreign shoppers that use Korean shopping sites. By interviewing 37 foreign users in Korea, this draft examined their experiences, behaviors, and emotional output, classifying them into 14 codes and seven categories. Using grounded theory, we found that online shoppers' emotions, feelings, experiences, and decision making may be changed in the stages of the pre-use, use, and post-use activities. User responses regarding shadow work and related obstacles can be seen with the continue, discontinue, and optional (occasional use) of Korean online shopping sites. Pleasure and satisfaction come from high efficiency and privileges, whereas anger and disappointment come from poor self-confidence and pessimism. Furthermore, buyer behavior and product orientation are identified as intervening conditions, while the online vs. offline shopping experiences are identified as contextual conditions. In conclusion, language barriers and other factors make online shopping difficult for foreign shoppers, which negatively affects their psychological mechanisms and buying behaviors. The implications from the study findings and future research are also discussed.

• Journal of Game and Entertainment
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• v.1 no.1
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• pp.1-7
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• 2005

Beta-test is a essential step to verify a online-game developing. Through beta-test, we can find out some problems related to game-balancing, game-play, user behaviors and so on. And the game developing can be modified to make up a weak-point. However, a beta-test in online game development is a very time consuming and heavy expense work. Therefore, in this study, the simulation model for growth-balancing and battle among characters was proposed in order to reduce the duration and cost for beta-test. And it was applied to Travia online game successfully.

• Journal of the Korea Computer Industry Society
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• v.7 no.5
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• pp.503-512
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• 2006

Recently, intelligent agents are demanded increasingly automated techniques for animation according to interaction with user or environment of the user. In this paper, we have studied a generic framework for intelligent agents based on emotions. Intelligent agents are designed to infer emotions from diverse personalities, situations, user behaviors and to express them. We research into the technique and the case study for intelligent agents based on emotions supposing autonomous and interactive animation.

• The Journal of Information Systems
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• v.28 no.2
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• pp.93-107
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• 2019

Purpose The purpose of this study is to explain the mechanism of user behaviors in password reset context based on descriptive data from conducting interviews. Specifically, this study attempted to describe the process of changing password from the shadow work perspective. Design/methodology/approach This study has interviewed 8 participants who can freely use numerous online web-sites. This study also employed the grounded theory methodology to analyze interview manuscripts. After conducting analyzing the manuscripts, this study has extracted 46 codes in the coding steps and ultimately presented 8 categories by combining similar concepts from those codes. Findings According to the results, this study provides new viewpoints to explain unique user behavior in the password reset context by capturing the shadow work based on the results. This study further offers practical implications to numerous practitioners by finding various codes, which related to users' reaction and behavior.

• Journal of Information Processing Systems
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• v.19 no.5
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• pp.576-589
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• 2023

To upgrade home style recommendations and user satisfaction, this paper proposes a personalized and optimized recommendation algorithm for interior design style based on local social network, which includes data acquisition by three-dimensional (3D) model, home-style feature definition, and style association mining. Through the analysis of user behaviors, the user interest model is established accordingly. Combined with the location-based social network of association rule mining algorithm, the association analysis of the 3D model dataset of interior design style is carried out, so as to get relevant home-style recommendations. The experimental results show that the proposed algorithm can complete effective analysis of 3D interior home style with the recommendation accuracy of 82% and the recommendation time of 1.1 minutes, which indicates excellent application effect.

• Korean Institute of Interior Design Journal
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• v.25 no.5
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• pp.63-70
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• 2016

Modern society is suffering from the phenomena of low-fertile, ultra-aging, and low-growth. On this social flow, most social classes undergo vulnerable situation and their overall housing and living condition have difficulties. So far many housing guidelines for diverse population were developed, recently, inclusive 'Customized Housing Design Guideline for Childcare Families' in terms of maintaining family and society has been completed. The purpose of this study is to analyze User Benefit Characteristics of 'Customized Housing Design Guideline for Childcare Families'. The research subjects are essential 140 guidelines appropriate to children's development and parents' care. The research method is contents analysis and the analysis criterion are 4 concepts of the User Benefit Criteria- 'Behavioral Facilitation (BF)', 'Physiological Maintenance (PhM)', 'Perceptual Maintenance (PM)', 'Social Facilitation (SF)'. 3 people inter-raters reliability was established. Altogether, the guidelines were rated in the order of PhM>PM>BF>SF, and these characteristics are similar as common universal design guidelines. This showed the supportability of spatial characteristics in the guidelines related to user's special behaviors. Also, the results show the importance of outdoor space planning for safe social interactions. The supportable characteristics of 'Customized Housing Design Guideline for Childcare Families' could be expected to efficiently apply for new housing development in the future.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.5
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• pp.419-425
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• 2012

This paper presents an approach to implement the behaviors of multi-robots responding to user's input characters. The robots are appropriately displaced to express any input characters. Using our method, any user can easily and friendly control multirobots. The responses of the robots to the user's input are intuitive. We utilize the centroidal Voronoi algorithm and the continuoustime Lloyd algorithm, which have popularly been used for the optimal sensing coverage problems. Collision protection is considered to be applied for real robots. LED sensors are used to identify positions of multi-robots. Our approach is evaluated through experiments with five mobile robots. When a user draw alphabets, the robots are deployed correspondingly. By checking position errors, the feasibility of our method is validated.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.3
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• pp.365-371
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• 2021

With the rapid growth in Internet users, web applications are becoming the main target of hackers. Most previous WAFs (Web Application Firewalls) target every single HTTP request packet rather than the overall behavior of the attacker, and are known to be difficult to detect new types of attacks. In this paper, we propose a web attack detection system based on user behavior using machine learning to detect attacks of unknown patterns. In order to define user behavior, we focus on features excluding areas where an attacker can camouflage as a normal user. The experimental results shows that by using the path and query information to define users' behaviors, best results for an accuracy of 99% with Decision forest.