• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.41-57
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• 2023

This paper aims to analyse the factors influencing the implementation of smart factories and their performance after implementation, using the grounded theory analysis method based on interview data. The research subjects were 21 companies that were selected by the Smart Manufacturing Innovation Promotion Group under the SME Technology Information Promotion Agency in 2020-2021 as the best case smart factory implementation companies, and introduced the intermediate stage 1 or above. A total of 87 concepts were generated as a result of the analysis. We were able to classify them into 16 detailed categories, and finally derived six broad categories. These six categories are "motivation for adoption", "adoption context", "adoption level", "technology adoption", "usage effect" and "management effect". As a result of the overall structure analysis, it was found that the adoption level of smart factory is determined by the adoption motivation, the IT technology experience affects the adoption level, the adoption level determines the usage and usage satisfaction, internal and external training affects the usage and usage satisfaction, and the performance or results obtained by the usage and usage are reduced defect rate, improved delivery rate and improved productivity. This study was able to derive detailed variables of environmental factors and technical characteristics that affect the adoption of smart factories, and explore the effects on the usage effects and management effects according to the level of adoption. Through this study, it is possible to suggest the direction of adoption according to the characteristics of SMEs that want to adopt smart factories.

• Journal of Information Technology Applications and Management
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• v.16 no.1
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• pp.115-135
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• 2009

As one of core technologies in ubiquitous era, interest and application of RFID is increasing. Although its' applications has been developed in various areas, actual application rate is still underestimated. Previous studies show that most of researches are focused on RFID implementation strategies, emphasizing technical advantages and benefits of RFID. To increase RFID adoption rate, however, end user's attitude about information technology has to be considered. The empirical study has been conducted to analyze user's influential factors which affect the RFID adoption. The results show that some of user's attitude about IT are valid and provide useful guide lines about RFID adoption.

• Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
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• v.12 no.6
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• pp.655-668
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• 2018

This paper analyzes the applicability and technology level of the green building element technology by analyzing the scorecard of the LEED Canada certified buildings. The results of this analysis will be able to evaluate the current status and level of application of green building element technology, and it will be used as a basic data to prepare for the revision of the certification standards and the establishment of strategies for the future green building activation. In this study, 1,010 LEED Canada certified buildings from 2011 to 2016 were analyzed. The results were analyzed by focusing on the status of greening by certification category and the characteristics of adoption by sub-category. The results of the study are summarized as follows. (1) EA category showed the biggest difference between the certification scores and the adoption rates than other categories, and it was confirmed that it is not easy category from the viewpoint of practical adoption. On the other hand, the ID (Innovation & Design Process) and WE were analyzed to be relatively easy to apply, with a score of over 72%. (2) In the case of Platinum class, the upper adoption rate is shown in all categories except MR. The Gold class shows the adoption rate of WE and ID in the top, and the middle rate in most categories. Silver grades showed lower rates in the three categories except WE, ID and EQ. Certified grades showed the adoption rates of the bottom except the two categories.

• Journal of the korean veterinary medical association
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• v.44 no.6
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• pp.555-575
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• 2008

The role of animal shelter is important for animal welfare. From this year, the animal shelter have clinic system and veterinarian. So adoption rate increased to 45%, die of illness decresed to 258% in the dog and adoption rate increased to 489%, die of illness decreased to 258% in the cat. The disease and condition of each animal is improved, also belief of adoption is improved too. veterinarian is necessary to animal welfare and systemic, professional model of animal shelter will contribute to animal welfare.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.8 no.6
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• pp.21-33
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• 2005

This study aims to find out actual conditions of environmental-friendly design on outdoor space of housing estate, and then to propose the direction of environmental-friendly design in order to construct the adequate environmental-friendly housing estates. First of all, this study investigated the environmental-friendly design elements on outdoor space of housing estates through literature survey and selected 9 major elements based on the result of the investigation. And then 15 KNHC housing estates were analyzed to find out design actualities of environmental-friendly elements. Major results of this study are as follows. 1) The environmental-friendly design elements were highly adopted in outdoor space of housing estates. The adoption rate of environmental-friendly design elements is 81.0% in average. But, 5 major elements were passively adopted out of 9. 2) According to the comparative analysis of KNHC housing estates, The adoption rate of environmental-friendly design elements was similar in metropolitan housing estates and non-metropolitan housing estates. But, the adoption level of environmental-friendly design element in metropolitan housing estates was higher than one in non-metropolitan. It shows that metropolitan housing estates are more activly adopted in 6 major elements. 3) According to the comparative analysis of design method of KNHC housing estates, The adoption rate and the adoption level of environmental-friendly design elements by turn-key design method and competition design method were higher than by general design. It shows that the housing estates designed by turn-key and competition design method are more activly adopted in 7 major elements.

• Journal of Information Technology Services
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• v.11 no.2
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• pp.19-47
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• 2012

Contemporary smartphone competition is generally described as the battle between Apple's proprietary platform and Google's open platform. However, this competition is not limited within smartphone adoption itself. User's pre-adoption of one mobile platform via smartphone can be connected to the post-adoption of the same mobile platform based on the other smart devices (e.g. smart pad). In this study, we investigate whether user's preference to a certain platform is persistent over mobile ecology, from the pre-adoption of one smart device to the post-adoption of following devices. For this investigation, we adopt the dual-model as the ground theory, where post-adoption of IT product is explained by both dedication and constraint factors. The empirical testing first evidences that dual model works well as our research model for identifying the reasons of post-adoption. Next, we group our data into two parts in order to compare the switching behavior of iPhone users and Android phone users. iPhone users show much lower switching rate to Android based smart pads, while Android phone users show higher churn rate to iPad (49.3% : 96.3%). Especially, satisfaction showed much stronger effect than switching cost on the continuing intention of existing platform, when the analysis is given to the iPhone user's group. From this result, we can conjecture the relatively stronger loyalty of iPhone users. More managerial implications on the mobile platform strategy are driven.

• Knowledge Management Research
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• v.16 no.1
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• pp.117-142
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• 2015

Recently, the personal cloud computing service has been being spotlighted as an individual tool of productivity enhancement. However, compared to the rosy forecast, its diffusion rate in the domestic (Korean) market is much slower than expected. In order to find the reason for the slow growth of personal cloud computing service, we attempt to identify influencing factors on user's adoption resistance, while most prior research has focused on the factors affecting its adoption. Based on both the person-technology fit model and the privacy calculus model, we propose technostress and perceived value as key antecedents of adoption resistance. In addition, we identify (1) technical (pace of change and complexity) and personal (self-efficacy) influencing factors on technostress, and (2) beneficial (perceived mobility and perceived availability) and harmful (perceived vulnerability) influencing factors on perceived value. To validate our research model, 133 individual samples were gathered from undergraduate and graduate students who had actual experience of using at least one of personal cloud computing services. The results of the structural equation modeling confirm that both technostress and perceived value have significant effects on adoption resistance, but they have different influencing mechanisms to different types of adoption resistance (indifference, postponement, and rejection). Theoretical and practical contributions are discussed in the conclusion.

• Journal of Information Technology Applications and Management
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• v.17 no.2
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• pp.187-205
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• 2010

This study takes a holistic approach to understand the diffusion of IPTV services by combining the adoption-diffusion model and the use-diffusion model of innovation. IPTV service, a leading digital converged application coupling media content with telecommunications, has been recently launched commercially in Korea. We created a structural model of adoption-diffusion, using the perceived easeof-use and usefulness of TAM(Technology Acceptance Model) as mediating variables, and a structural model of use-diffusion, with the rate of use and the variety of use as mediating variables. To empirically analyze these models, non-users of IPTV were surveyed using the adoption-diffusion model to identify factors influencing their intention to subscribe to the service. Meanwhile, users of IPTV were surveyed using the use-diffusion model to determine the factors that influence their satisfaction with the service and their intention to re-use it. Under the adoption-diffusion model, we found that trialability, household innovativeness and perceived risk were the determinants of user satisfaction with IPTV, and perceived ease-of-use, the mediating factors. Under the use-diffusion model, complementarity and communication were shown to be the determinants of users' satisfaction with IPTV, and variety of use, the mediating factor. We also found that consumers' intention to re-use IPTV was strongly influenced by its relative advantage and perceived risk.

• Korean Journal of Artificial Intelligence
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• v.9 no.1
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• pp.29-35
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• 2021

In this paper, we analyzed the factors of adoption and implemented a predictive model to activate the adoption of animals. Recently, animal shelters are saturated due to the abandonment and loss of companion animals. To address this, we need to find a way to encourage adoption. In this paper, a study was conducted using two data from an open data portal provided by Austin, Texas. First, a correlation analysis was conducted to identify the attributes that affect the result value, and it was found that Animal Type Intake, Intake Type, and Age upon Outcome influence the Outcome Type with correlation coefficients of 0.4, 0.26, and -0.2, respectively. For these attributes, the analysis was conducted using Multiclass Logistic Regression. As a result, dogs had a higher probability of Adoption than cats, and animals subjected to euthanasia were more likely to adopt. In the case of Public Assist and Stray, it was found that the Missing rate was high. Also, the length of stay for cats increased to 12.5 years of age, while dogs generally adopted smoothly at all ages. These results showed an overall accuracy of 62.7% and an average accuracy of 91.7%, showing a fairly reliable result. Therefore, it seems that it can be used to develop a plan to promote the adoption of animals according to various factors. Also, it can be expanded to various services by interlocking with the webserver.

• Journal of Korean Institute of Industrial Engineers
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• v.14 no.1
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• pp.103-117
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• 1988

Replacement demand plays an important role to forecast the total demand of durable goods, while most of the diffusion models deal with only adoption data, namely initial purchase demand. This paper presents replacement demand forecasting models incorporating repurchase rate, multi-ownership, and dynamic product life to complement the existing diffusion models. The performance of replacement demand forecasting models are analyzed and practical guidelines for the application of the models are suggested when life distribution data or adoption data are not available.