• The Journal of Information Systems
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• v.24 no.1
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• pp.169-191
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• 2015

Green supply chain management(GSCM) has emerged as an organizational system which helps organizations and their parter to achieve corporate profit by reducing environmental risk and cost. The main objective of this study is to investigate the relationship among organizational factors(manager support and organizational learning), GSCM practices(investment recovery and eco-design) and GSCM performance based on the BSC. Using a sample of 125 Korean companies, path analysis is used to test the research model. The results shows that the manager support has a positive effect on the investment recovery and eco-design. The results also suggest that the organizational learning directly affect the investment recovery, but do not affect the eco-design. The investment recovery and eco-design have effect on the GSCM performance. In addition, the competitive pressure has moderating effects on most of the relationships between the organizational factors and GSCM practices. This findings provides useful insights for managers seeking to adopt GSCM practices, and also provide useful guidelines for researchers to study GSCM performance.

• Information Systems Review
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• v.3 no.1
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• pp.83-101
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• 2001

Studies about wireless internet have been focused on technology issues and few studies were shown in the adoption of wireless internet services. This study uses Technology Acceptance Model in order to understand influencing factors in acceptance of wireless internet services. Reviewing by TAM related studies, this study regards the influencing factors as personal and social environmental dimensions in the case of wireless internet services, and these two factors are used. Two dependent variables-intention and current usage-are adopted for analyzing the effects of the two factors on two dependent variables via mediating variables. The results of this study show that age, frequency of mobile phone usage, occupation, and the recognition level of wireless internet services affected the intention and current usage of these services.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.3
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• pp.9-15
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• 2013

This paper was development of remote controller of pumping system by using ubiquitous for underground water contamination prevention in the area of glasshouse facility. This paper automatically controls from to temperature and humidity for pumping sprinkler at water hanging cultivation. This prevents indiscreetive development of underground water, and prevents damage of environmental pollution without complementary measures in case of water lacked humble-void. The result of this research, confirms decrease of electrical fee, prevention of indiscreet underground water usage and its drying up thought optimum farm products management and pumping control system.

• Advances in environmental research
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• v.3 no.2
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• pp.131-149
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• 2014

Two different model selection indices, the Akaike information criterion (AIC) and the coefficient of determination ($R^2$), are used to discriminate competing isotherm equations for aqueous pollutant removal systems. The former takes into account model accuracy and complexity while the latter considers model accuracy only. The five types of isotherm shape in the Brunauer-Deming-Deming-Teller (BDDT) classification are considered. Sorption equilibrium data taken from the literature were correlated using isotherm equations with fitting parameters ranging from two to five. For the isotherm shapes of types I (favorable) and III (unfavorable), the AIC favors two-parameter equations which can easily track these simple isotherm shapes with high accuracy. The $R^2$ indicator by contrast recommends isotherm equations with more than two parameters which can provide marginally better fits than two-parameter equations. To correlate the more intricate shapes of types II (multilayer), IV (two-plateau) and V (S-shaped) isotherms, both indices favor isotherm equations with more than two parameters.

• Asia pacific journal of information systems
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• v.31 no.4
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• pp.633-673
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• 2021

Due to the differences between and distinct consumer perceptions of domestic and cross-border e-commerce (CBEC), e-consumer misconduct, which we call "cunning behavior," has emerged. This study examines cunning behavior in CBEC and compares e-consumer perceptions about environmental factors and their own personal traits using a vignette experiment and survey. The vignettes of this study were developed for three situations: illegal, deviant, and unethical behavior. Drawing on vignettes, we collected survey data and then examined the research model using the analysis of moment structure statistical tool. The results show that perceived benefit and past experience with CBEC are strong triggers for cunning behavior, while the ability to exercise self-control restrains this behavior. This study provides an understanding of why cunning behavior occurs in the CBEC context and describes different cunning behavior types.

• Asia pacific journal of information systems
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• v.30 no.2
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• pp.252-283
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• 2020

Online retail is a growing opportunity for retailers and consumers. Cross-buying provides companies with an opportunity to increase their revenue contributions from existing consumers. In many fields, especially in the service sector, cross-selling is an easier strategy to use relative to increasing revenue rather than acquiring new consumers. Website personalization has been a powerful indispensable tool for web-based companies and end users. Using the Mehrabian and Russell's Stimulus-Organism-Response framework, we experimentally examined how an online retailing merchant's environmental stimuli (S) arouses internal affective and cognitive states (O), that affect consumers' approach-avoidance behavior (R) in cross-buying and shopping cart abandonment in online transactions.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.2
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• pp.113-127
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• 2018

This study develops a fusion priority signal control algorithm to pass without delay in emergency events. Fusion priority signal control is method combined center control with local control. The center control method applies signal times for each signalized intersection on the emergency vehicle's route when an emergency call is received. As signals are controlled before the emergency vehicle leaves for its destination, it is possible to clear the queues at each intersection more effectively. However, since the traffic information (speed, position) of the real-time emergency vehicle is not used, the intersection arrival time predicted by center control and actual arrival time of the emergency vehicle may be different from each other. In the case, it is possible to experience a delay caused by the signal. Local control method operate priority signal use the real-time information of EV, but there is a limitation that queue elimination time can not be reflected. In this study, fusion(center+local) control algorithm is proposed to compensate the disadvantages of center and local control also maximizing its advantages. Proposed algorithm is expected to decrease delay time of EV in emergency situation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.6
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• pp.101-111
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• 2017

This study propose a method to predict the bus arrival time by considering the signal delay time which is an element which can not be considered in the current bus arrival prediction information generation algorithm. In order to consider the signal delay time, travel time is divided into three components: service time, cruising travel time, and signal delay time. Signal delay time was estimated using intersection arrival time and TOD. The results show that most of the errors that occurred in predicting the arrival time are within about 30 seconds. Some of the estimates have large errors due to the nature of this methodology that uses the estimated value of the intersection arrival time rather than the observation value. It is also difficult to predict the arrival time of the express buses using this method. Future studies such as improving this through real-time location information will greatly improve the accuracy of the methodology.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.5
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• pp.91-102
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• 2014

Different from the past studies, in this study we postulates that the consumers' trust play an essential mediating role in the relationship between the two dimensions (eco-friendly manufacturing, eco-friendly campaign) of corporate environmental responsibility activities and the corporate image. Trust is conceptualized into three different forms: expertise-based trust, benevolence-based trust, and honesty-based trust. A model integrating two dimensions of corporate environmental responsibility, three forms of trust, and the corporate image is tested using data of 374 student and general consumers. The results of data analysis show that the eco-friendly manufacturing positively influences on the expert-based trust and the eco-friendly campaign positively influences on the benevolence-based trust. The Effects of Corporate Environmental Responsibility Activities on Corporate Image: Focusing on Dimension of Environmental Responsibility. However, eco-friendly manufacturing, eco-friendly campaign activities have a significant impact not on the honesty-based trust. Finally, our results indicate that the expert-based trust, the benevolence-based trust, and honesty-based trust have a significant influence on the corporate image. Thus, this study demonstrates that trust indeed plays a mediating role between corporate environmental responsibility and the corporate image.

• Journal of Korean Society of Water and Wastewater
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• v.34 no.1
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• pp.9-21
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• 2020

The proper operation and safety management of water and wastewater treatment systems are essential for providing stable water service to the public. However, various natural disasters including floods, large storms, volcano eruptions and earthquakes threaten public water services by causing serious damage to water and wastewater treatment plants and pipeline systems. Korea is known as a country that is relatively safe from earthquakes, but the recent increase in the frequency of earthquakes has increased the need for a proper earthquake management system. Interest in research and the establishment of legal regulations has increased, especially since the large earthquake in Gyeongju in 2016. Currently, earthquakes in Korea are managed by legal regulations and guidelines integrated with other disasters such as floods and large storms. The legal system has long been controlled and relatively well managed, but technical research has made limited progress since it was considered in the past that Korea is safe from earthquake damage. Various technologies, including seismic design and earthquake forecasting, are required to minimize possible damages from earthquakes, so proper research is essential. This paper reviews the current state of technology development and legal management systems to prevent damages and restore water and wastewater treatment systems after earthquakes in Korea and other countries. High technologies such as unmanned aerial vehicles, wireless networks and real-time monitoring systems are already being applied to water and wastewater treatment processes, and to further establish the optimal system for earthquake response in water and wastewater treatment facilities, continuous research in connection with the Fourth Industrial Revolution, including information and communications technologies, is essential.