• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2011년도 춘계 학술논문 발표대회 1부
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• pp.145-148
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• 2011

As a futuristic construction model, building information model(BIM) based project management system(PMIS) and mobile PMIS have been showing visible sign. However, researches on the 3D BIM based PMIS using mobile device are hard to find, result from limitation of mobile device application(slow speed at huge BIM file, display size, and etc.) and undefined standard of business processes. Therefore, this research aims at studying feasibility of mobile BIM PMIS based on cloud computing as a business model. In case of applying mobile BIM PMIS, 3D drawings and integrated building informations are possible on mobile devices in real time. it would support increasing the productivity of project participants as designer, engineer, supervisor, and etc. Globally, BIM based PMIS and Mobile BIM system, cloud computing based mobile BIM simulator are in the concept or experimental phase, therefore it is possible to secure global leading technology of IT and construction merger in the mobile BIM.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권8호
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• pp.3972-3985
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• 2016

Organizations have been implementing mobile applications that actually connect to their backend enterprise applications (e.g. ERP, SCM, etc.) in order to increase the enterprise mobility. However, most of the organizations are still struggling to fully satisfy their mobile application users with the enterprise mobility. Even though it has been regarded as the right direction that the traditional enterprise system should move on, the studies on the success model for mobile enterprise applications in user's acceptance perspective can hardly be found. Thus, this study focused not only to redefine the success of the mobile enterprise application in user's acceptance persepective, but also to find the impacts of the factors on user's usage behavior of the mobile enterprise applications. In order to achieve this, we adopted the Technology Acceptance Model 2 (TAM2) as a model to figure out the user's behavior on mobile applications. Among various mobile enterprise applications, this study chose mobile ERP since it is the most representing enterprise applications that many organizations have implemented in their backend. This study found that not all the constructs defined by Davis in TAM2 have a significant influence on user's behavior of the mobile-ERP applications. However, it is also found that most social influence processes of TAM2 influence user's perception of the degree of interaction by mobile-ERP applications.

• 지식경영연구
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• 제15권3호
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• pp.13-36
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• 2014

Recently, with the increasing popularity of smartphones, mobile applications have been being used in various sectors. In these environments, some mobile applications are being made for special purposes. The mobile campus application is one exemplary type of such special-purpose mobile applications, which have unique characteristics that allow only designated users, belonging to a specific group, to access and use relevant knowledge. The aim of this study is to identify and investigate critical success factors of mobile campus applications based on the DeLone & McLean's information systems (IS) success model and to find unique characteristics of mobile campus applications, compared to general-purpose mobile applications. In order to empirically test our research model, 199 samples were collected from students who actually had experience of using the mobile campus application of A university at least once. The findings of the structural equation modeling using SmartPLS 2.0 confirmed the DeLone & McLean's IS success model, with the exception for relationships between service quality and user satisfaction/intention to use. Moreover, the moderating role of sense of belonging to school on the relationships between quality-related factors (i.e., information, system, and service qualities) and success-related factors (i.e., user satisfaction and intention to use) was examined.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권10호
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• pp.4997-5013
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• 2016

This paper proposes and then verifies a model that can be used to forecast the effects of behavior on mobile advertising based on the Technology Acceptance Model (TAM) and Web Advertising Effect. The objective of this research is to probe the relationship between the cause and effect of the entertainment, informativeness, usefulness, capacity to accommodate smart-environment technologies, Hedonic Adaptation Model (HAM), etc. that mobile advertisements provide, as well as the attitudes toward advertisements in general. In order to accomplish this goal, the research was verified using Structural Equation Modeling (SEM), and the results are as follows. First, the informativeness of mobile advertising has a positive effect on the recognized ease of use. Second, the entertainment and informativeness of mobile advertising has positive effects on the recognized usefulness. Third, the recognized ease of use has a positive effect on the recognized usefulness. Fourth, the informativeness of mobile advertising causes a positive effect on smart-environment technologies. Fifth, the entertainment and informativeness of mobile advertising cause positive effects on the HAM. Sixth, smart-environment technologies cause positive effects on the HAM. Seventh, the recognized usefulness causes a positive effect on the value of mobile advertising and the intention of use. Eighth, the HAM has a positive effect on the value of mobile advertising and the general attitudes toward it. Ninth, the value of mobile advertising has a positive effect on the attitudes toward advertising. Tenth, the attitudes toward mobile advertising have a positive effect on the intention of use.

• 유통과학연구
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• 제18권3호
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• pp.53-65
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• 2020

Purpose: This study tests the suitability of a new technology acceptance model for a mobile payment system by checking how statistically significant the change is from the UTAUT (Unified Theory of Acceptance and Use of Technology) and UTAUT 2 models. Research, Data, and Methodology: We surveyed 250 students at Incheon University who are using the mobile payment system. The analysis was conducted on 243 valid questionnaires. The survey was conducted for one month in October 2018. The collected data were analyzed using SPSS and hierarchical regression analysis was applied. Results: Using hierarchical regression analysis, this study confirmed whether the newly added hedonic motivation, switching cost, and perceived risk variables in the UTAUT2 model are good explanatory variables. Mobile payment usage experience was found to have a moderating effect on mobile payment reuse intention. According to the analysis, the UTAUT2 model brought about more influential change than the variables of the UTAUT model. Conclusions: This study found that consumers' psychological factors added in the UTAUT2 model greatly influenced the reuse intention for mobile payment. As an implication of this study, mobile payment providers need to develop strategies that could meet hedonic motivation, switching cost and perceived risk for their customers.

• Asia pacific journal of information systems
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• 제16권4호
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• pp.239-254
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• 2006

Location-based advertising or application has been one of the drivers of third-generation mobile operators' marketing efforts in the past few years. As a result, many studies on location-based marketing or advertising have been proposed for recent several years. However, these approaches have two common shortcomings. First. most of them just suggested the theoretical architectures, which were too abstract to apply it to the real-world cases. Second, many of these approaches only consider service provider (seller) rather than customers (buyers). Thus, the prior approaches fit to the automated sales or advertising rather than the implementation of CRM. To mitigate these limitations, this study presents a novel advertisement recommendation model for mobile users. We call our model MAR-CF (Mobile Advertisement Recommender using Collaborative Filtering). Our proposed model is based on traditional CF algorithm, but we adopt the multi-dimensional personalization model to conventional CF for enabling location-based advertising for mobile users. Thus, MAR-CF is designed to make recommendation results for mobile users by considering location, time, and needs type. To validate the usefulness of our recommendation model. we collect the real-world data for mobile advertisements, and perform an empirical validation. Experimental results show that MAR-CF generates more accurate prediction results than other comparative models.

• 한국IT서비스학회지
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• 제7권2호
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• pp.197-221
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• 2008

This study is to identify quality factors having influence upon mobile internet service performance theoretically, derive the research model and the hypotheses concerning the cause and effect relationship between these factors and service performance and then analyze them empirically. In order to enhance the model's explanation power, trust and cognitive engagement as interviewing variables are included in the model. The theoretical background of this study was brought from relevant literature in the areas of the theory of reasoned action(TRA). technology acceptance model(TAM), product selection model, cognitive absorption theory and etc. The research model and hypotheses were statistically investigated and analysed through convergent and discriminant validity test, reliability test, and path analyses by means of statistical packages SPSS(12.0) and LISREL(8.72). For these empirical analyses. data were collected through the field survey of 373 users who were willing to continuously use the mobile internet services. Based on the results of the analyses, theoretical and practical significance and future study direction were suggested. The results of this study will be helpful to giving a guideline to companies such as mobile telecom, mobile contents provider and mobile handset manufactures when they have to establish the mobile Internet service marketing strategies.

• 아태비즈니스연구
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• 제9권4호
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• pp.49-65
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• 2018

This paper illustrates the competition between the mobile pay and credit card systems by utilizing the theory of two-sided markets. Two firms, as platforms, maximize the profit collecting fees from consumers on one side and from retailers on the other side. Consumers pay to buy goods and services with mobile pay, credit card, or cash. The basic model is one that each platform maximizes its profit. We show that the fees for credit card holders and retailers are higher than the respective costs. The fee for retailers of the mobile payment is higher than its cost, while the buyer's fee may be higher or lower than its cost. Applied model is the one that employs the delegation game model. The total profit of the mobile pay system is composed of its profit and the weighted demand for the mobile pay. It is shown that buyers' fee under the applied model is lower than that under the basic model, resulting in an increase of the demand for the mobile pay. The fee for the retailers rises, albeit the sum of fees for the buyers and retailers falls. The profit for the mobile pay system is increased, while that for the credit card company stays the same.

• 한국멀티미디어학회논문지
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• 제22권2호
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• pp.292-298
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• 2019

Mobile-based software development methodology has been vigorously researched from using object-oriented development methodology and component-based development methodology previous structural developing methodology. There are two types of OS in mobile platform which are android and iOS. There is a problem that the application to be developed is developed depending on the device type. To resolve this problem, first, the system structure and design method should be managed effectively. Second, a basic design guide that can be commonly adapted to the each project is required. In this paper, we define a mobile cross platform meta model based on MDA-development methodology, focusing on reusability, portability and interoperability about non - dependent part of the mobile platform. If the proposed meta-model is applied to manage the related information and all the types of Mobile-Apps become available through independent mobile app development process, henceforward, it will be much of help establishing formulaic mobile-app developmental methodology.

• Educational Technology International
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• 제21권1호
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• pp.1-29
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• 2020

Despite the existing body of literature focusing on the effects of one-to-one mobile technology integration in teaching and learning, research discussed that the determinants of mobile technology acceptance and use in secondary school settings are still unclear. Hence, this study examined the extent to which determinants influence high school students' behavioral intention to use one-to-one mobile technology for learning. The newly proposed model incorporated three additional constructs beyond those in the unified theory of acceptance and use of technology (UTAUT) model, including computer self-efficacy, attitude toward using technology and computer anxiety, as suggested by recent literature. Data were collected from 247 U.S. Midwestern high school students who participated in an online survey. Using a structural equation modeling approach, this study established construct validity for the nine-construct extended UTAUT model to assess high school students' intention to use mobile technology. The results of structural relations in the proposed model showed that their behavioral intention to use mobile technology was significantly predicted by social influence and attitude toward using technology. Also, their strong behavioral intention and facilitating conditions were associated with frequent use of mobile technology in learning. Discussion, implications, and conclusion were addressed in this study.