• Journal of Information Technology Services
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• v.10 no.3
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• pp.149-166
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• 2011

While the importance of adopting cloud computing service has been emerged, comparatively little research has been conducted on examining factors of an individual user's intention to switch toward cloud computing service. Hereafter, this study presents and empirically tests users' intention to switch to cloud computing. Our model posits that the characteristics of cloud computing such as collaboration support, accessability, trust to cloud service affect perceived value, which in turn, influences intention to switch. An experimental study using student subjects provided empirical validation for our proposed model. Survey data from 106 respondents was used to test the model using partial least square analysis. According to our results, the characteristics of cloud computing were found to have significant impact on users' intention to switch that partially mediated by perceived value. Based on our research findings, we hope that this research will stimulate researchers' interest in the emerging area of cloud computing adoption.

• Journal of Korea Trade
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• v.26 no.6
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• pp.20-40
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• 2022

Purpose - In recent times, the international trade environment has been changing rapidly, centering on the online market. In the post-COVID-19 era, small and medium-sized trading companies are facing the problem of not being properly provided with overseas market research, market trend analysis, and trade-related information. Cloud-based digital trade is being sought as an alternative to solve these problems; however, there is a lack of research on the intention to switch to digital trade among small and medium-sized trading companies. Therefore, this study empirically analyzes the intention to switch to digital trade based on the migration theory, and through this, attempts to identify each factor that affects the intention to switch to digital trade. Design/methodology - In this study, in order to identify factors influencing intention to switch to digital trade and innovation resistance of small and medium-sized trading companies, through previous research on migration theory and the PPM (Push, Pull, Mooring) model, each variable was selected for the purpose of the study. Based on this, a research model was established for the factors affecting switching to digital trade of small and medium-sized trading companies and empirically analyzed. In addition, considering the differences in the innovation propensity and maturity of information infrastructure of trading companies as the recipients of innovation, this study analyzes the moderating effect of the mooring effect and seeks ways to establish specific strategies according to the degree. Findings - As a result of empirical analysis, the pull effect was found to have the greatest influence on intention to switch to digital trade. However, the pull factor was found to have an effect on user resistance, and it was confirmed that it was a factor simultaneously inducing positive and negative consumption behaviors among users. In addition, it was found that the higher the company's innovation propensity, the higher the pull effect's influence on the intention to switch, and analysis showed that the push effect had no influence. In addition, companies with high information infrastructure maturity were expected to have a relatively high level of intention to switch compared to companies with low information infrastructure maturity, and the difference between the two groups was found not to be statistically significant. Originality/value - This study is a timely study in that it demonstrated the effect on the switching to cloud-based digital trade for small and medium-sized trading companies and that the cloud system related to digital trade is in full swing. There are academic implications in that it revealed that the pull effect is an important factor in the intention to switch to cloud service. Practical implications were presented in that small and medium-sized trading companies suggested ways to increase the value of the cloud system for switching to digital trade and a way to increase the switching ratio by minimizing the mooring effect. In addition, the study argues that active institutional support from the government is needed to activate cloud service.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.91-105
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• 2022

Most of the preceding studies related to Internet Primary banks are studies on laws, regulations, and expected effects of introduction, and studies on financial consumers' intention to switch to financial services are insufficient. Apply to the PPM(Push-Pull-Mooring)theory to find out the factors that influence financial consumers' intention to switch services from commercial banks to Internet Primary banks. A survey was conducted service users, 1st-order and 2nd-order factor analysis were performed using Smart PLS 3.0. As a result, it was confirmed that the Pull, Push and Mooring had a positive (+) effect on the Intention to Switch, and the Mooring, which is a moderating variable, did not have a moderating effect on the Intention to Switch of the Push and the Pull. The scope of application of the PPM theory, which was used in the service conversion research, was extended to Fintech services, and it can provide various practical useful implications, such as the strategy and spread of Internet Primary banks, and it will be used in various studies to study consumer attitudes.

• Journal of Korea Technology Innovation Society
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• v.18 no.1
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• pp.176-203
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• 2015

While the importance of adopting cloud computing service has been emerged, comparatively little research has been conducted on examining factors of an individual user's intention to switch toward cloud computing service. Hereafter, this study presents and empirically tests users' intention to switch to cloud computing. Our model posits that the characteristics of cloud computing such as effectiveness, economics, accessability, switching cost, security concern, and satisfaction toward existing IT service to cloud service affect perceived value, which in turn, influences intention to switch. An experimental study using student subjects provided empirical validation for our proposed model. Survey data from 204 respondents was used to test the model using partial least square analysis. As the result of the analysis, five hypotheses out of seven hypotheses were supported. According to our results, among the characteristics of cloud computing, effectiveness, economics, switching cost, and security concern were found to have significant impact on users' intention to switch that mediated by perceived value. Based on our research findings, we hope that this research will stimulate researchers' interest in the emerging area of cloud computing adoption.

• The Journal of Information Systems
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• v.30 no.4
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• pp.71-94
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• 2021

Purpose The purpose of this study is to verify impacts of factors, representing Push-Pull-Mooring(PPM) on switch intention to OTT(Over-The-Top) service in demand for content and to find relationship between factors through empirical analysis. Design/methodology/approach This study designed a research model by deriving factors affecting the intention to switch on OTT service based on the Push-Pull-Mooring framework and researches on OTT service. To test the hypothesis, a total of 357 responses were collected from individuals with experience in using OTT service and analyzed using SPSS26 and SmartPLS3.0. Findings According to the empirical analysis result, this study confirmed that the push, pull, and mooring factors proposed in this study had a significant effect on switching intention on OTT service. In addition, this study confirmed that both low switching cost and need for variety had a significant effect except for hypothesis H8.

• The Journal of Information Systems
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• v.23 no.2
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• pp.109-137
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• 2014

As the fast development of information technology (IT), abundant attractive alternatives have showed up and challenged to the traditional information technology (IT). Cloud services, the hottest representative among these alternatives, has attracted the attention from all walks of life. Considering the diversity of cloud services, this study attempts to find out the important factors affected on individual's switching intention from incumbent IT to cloud services mainly based on two-factor theory (switching enablers and switching inhibitors) and explore the direct influences of these factors on individual's switching intention. According to our findings, individual's switching intention to cloud services is not only positively influenced by switching enablers but also negatively influenced by switching inhibitors. All the switching enablers in this study (perceived omnipresence, perceived collaboration support and perceived compatibility of cloud services) have positively significant influences on individual's switching intention as well as the switching inhibitors (usage habit of incumbent IT and perceived risk of cloud services) have negatively significant influences on individual's switching intention. It's noteworthy that satisfaction of incumbent IT has insignificant influence on individual's switching intention in this study. Moreover, as we expected, both social influence and personal innovativeness have significant influences on the generation of individual's switching intention.

• Korean Journal of Human Ecology
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• v.19 no.5
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• pp.845-855
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• 2010

This study examined the variables that affect whether consumers change broadband internet services by examining their past experiences and intention to switch carriers by targeting consumers who have switched broadband internet service providers. Among adult consumers who intended to switch broadband providers, 341 people who had experience were subject to logistic regression analysis using SPSS for Windows ver. 17.0 to examine frequencies, means, percentages, and factor analysis. The following results were revealed. First, the targets were currently using broadband internet service in the order Company S > Company L > Company K > others. Excluding the others, Company K had the most conversions (from 96 to 78), followed by Company S (from 107 to 97), and Company L (from 43 to 97), which more than doubled the number of subscribers. The reasons for switching carriers in the past were as follows: for Company K, consumers switched to other companies because of unsatisfactory fee services; for Company S, consumers switched to other companies because of quality, advertising and promotional activities, and commitment periods ending; for Company L, the consumers switched to other companies because of fee, quality, and service; and for other companies, the consumers switched to other services because of unsatisfactory quality. Second, the analysis of the elements that determined whether a consumer will switch broadband internet service providers showed that college graduates and individuals who had switched carriers voluntarily in the past were more likely to switch to a new broadband internet service provider. Furthermore, passive consumers had a higher probability of switching. Moreover, when consumers were less satisfied with the fees and services, there was a greater chance of switching to another company.

• Journal of Information Technology Applications and Management
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• v.11 no.1
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• pp.69-82
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• 2004

The role of switching costs in customer retention has been posited, but has not been subjected to rigorous empirical testing. Therefore, our main focus is on the factors that influence whether consumers will have intention to switch or stay with an incumbent technology (e.g., MS-Windows). Based on consumer survey with MS-Windows users, we find empirical support for the link between the existence of compactible software, consumer's expertise in MS-Windows and intention to stay with MS-Windows. Specifically, switching costs are found to be positively associated with the existence of compatible software. Further, the lack of expertise in MS-Windows on the part of consumers tends to increase the likelihood that they will rely on current MS-Windows, rather than switch to other alternative operating systems.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.931-936
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• 2007

To understand the relationship between factors influencing customers' intention to switch from current banking services to mobile banking service. We first investigates immediate influence of customers' satisfaction with existing banking service and attractiveness of mobile banking as an alternative service. We further examines the moderating effect of alternative service attractiveness that influences the relationship between existing service satisfaction and switching intention to mobile banking service.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.157-167
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• 2018

Internet only banking has been spreading rapidly since it was first introduced in Korea since 2017, but issues regarding its limitations continuously are rising. In this research, consumers' intention to switch have been empirically demonstrated toward the internet banking by applying the PPM theory. To achieve a purpose of the research, survey targeting total 132 person who have experiences of using KaKaobank have been implemented by using Smart PLS 3.0. In conclusion, it has been verified that the push and full effect have a positive effect on the consumers' intention to switch main bank and the degree of usage of KaKaobank have significantly influences on relation between mooring factor and consumers' intention to switch main bank. Through this study, the scope of the PPM theory applied in previous researches regarding consumer's service transition shall be extended to Fintech service and practically it provides implications for establishing a strategy to enter the Internet only bank market.