• The Journal of Information Systems
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• v.24 no.2
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• pp.209-240
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• 2015

Purpose This study investigates the relationships between various attributes of smart banking (convenience, security, convergence, and economy), user features (familiarity and innovativeness), perceived usefulness, trust, satisfaction, and continuance intentions and provides a comparison of Google's Android OS and Apple's iOS. Design/methodology/approach We considered a sample of 245 respondents and used structural equation modeling to analyze the data. Findings The results indicate that convergence and familiarity significantly affected perceived usefulness and that security and economy significantly affected perceived trust in smart banking services. The relationships of security, economy, and innovativeness to perceived usefulness and those of convenience and familiarity to perceived trust were stronger for the Android OS than for iOS. The study contributes by proposing an integrated framework and providing a comparison between the Android OS and iOS in the context of smart banking.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.91-98
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• 2018

This study was conducted to verify the mediating effect of knowledge sharing activity on the effect of trust between consultants on consulting satisfaction during consulting collaboration process. Regression analysis was performed using SPSS 23 based on the survey data. The results showed that trust between consultants had significant effects on knowledge sharing and on consulting satisfaction. Knowledge sharing activities partially mediated the effects of trust between consultants on consulting satisfaction. Further research is required to find out the various factors that are needed to further enhance competence and knowledge sharing for consultants in order to facilitate collaborative work in a rapid change of management environment.

• Smart Media Journal
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• v.12 no.5
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• pp.46-57
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• 2023

As the COVID-19 pandemic and the development of IT technology have led to the gradual popularization of remote and telecommuting, cloud computing technology is advancing, and cyber attack techniques are becoming more sophisticated and advanced. In response to these trends, companies are increasingly moving away from traditional perimeter-based security and adopting Zero Trust to strengthen their security. Zero Trust, based on the core principle of doubting and not trusting everything, identifies all traffic and grants access permissions through a strict authentication process to enhance security. In this paper, we analyze the background of Zero Trust adoption and the adoption policies and trends of countries that are proactively promoting its implementation. Additionally, we propose necessary efforts from governments and organizations to strengthen corporate security and considerations for companies when applying Zero Trust.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.153-160
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• 2020

This research aims to provide empirical basic data for the development of local communities through the establishment of efficient strategies for the formation of positive relations between the club and the region through the Creation of Shared Value (CSV) activities. We come up with the results of this study to show that CSV, social problem orientation, and core competency utilization affect the team trust of local community, and that CSV, long-term orientation, social problem orientation and core competency utilization affect community identification. The research should enhance the value of professional sports teams that promote their own path to self-sustaining as a single independent business area, and identify their trust through CSV activities for co-prosperity with their local communities, and thus their relationship with the community. Therefore, various strategies and efforts will ultimately increase the team trust and community identity of local residents in professional volleyball teams, while at the same time gaining positive effects on professional volleyball teams.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.53-58
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• 2024

The Internet of Things (IoT) enables the connection of millions of disparate devices to the World Wide Web. To perform the task, a lot of smart gadgets must work together. The gadgets recognize other devices as part of their network service. Keeping participating devices safe is a crucial component of the internet of things. When gadgets communicate with one another, they require a promise of confidence. Trust provides certainty that the gadgets or objects will function as expected. Trust management is more difficult than security management. This review includes a thorough examination of trust management in a variety of situations.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.551-559
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• 2021

This study aims to analyze the effect of (a) sharia governance on transparency, muzakki's trust, and muzakki's loyalty in paying zakat to zakat management organizations, (b) trust and accountability on muzakki loyalty in paying zakat to zakat management organizations, (c) transparency, loyalty and accountability on the amount of zakat payments to zakat management organizations This is explanatory research with data analysis techniques using the smartPLS method. The sample is 117 people who had paid zakat to BAZNAS, Indonesia. The results showed that the sharia governance variable had a significant effect on the accountability, transparency, and muzakki trust variables. The accountability variable has a significant effect on the muzakki loyalty variable and not on the zakat payment variable. The transparency variable has a significant effect on the muzakki loyalty variable and not on the zakat payment variable. The muzakki trust variable has a significant effect on the muzakki loyalty variable, and the loyalty variable has a significant effect on the zakat payment variable. This new model can explain the variables that affect the increase in trust and loyalty in increasing the amount of zakat payments. Muzakki's trust and loyalty improvement model against zakat payment in BAZNAS Indonesia, explains how BAZNAS organizers can increase zakat revenue, loyalty, trust, and good sharia governance.

• The Journal of Information Systems
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• v.33 no.1
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• pp.159-182
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• 2024

Purpose This study aims to investigate the factors influencing social media users' sharing behaviors of COVID-19 health information. Specifically, we seek to examine the impact of three key antecedents-trust in information source, trust in information content, and trust in social media platform-on users' trust in information quality and determine whether their effects vary between South Korea and China. Design/methodology/approach To fulfill our research objectives, we conducted an online survey across two countries, collecting 408 valid responses (South Korea: N = 201; China: N = 207) for our analysis. We employed Partial Least Squared based Structural Equation Modeling (PLS-SEM) with SmartPLS 4 and performed Exploratory Factor Analysis (EFA) and independent t-tests with SPSS 27. Findings The study revealed that perceived risks significantly inhibit users from sharing health information, highlighting the critical role of trust in countering these effects. We also identified variances in the levels of trust in information content and trust in social media platform between the two countries, which offers fresh perspectives for designing culturally tailored public health communications and interventions.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.1-9
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• 2015

Recently, with smart device proliferation and providing the various services using this, they have interested in mobile and Smart TV security. Smartphone users are enjoying various service, such as cloud, game, banking. But today's mobile security solutions and Study of Smart TV Security simply stays at the level of malicious code detection, mobile device management, security system itself. Accordingly, there is a need for technology for preventing hacking and leakage of sensitive information, such as certificates, legal documents, individual credit card number. To solve this problem, a variety of security technologies(mobile virtualization, ARM TrustZone, GlobalPlatform, MDM) in mobile devices have been studied. In this paper, we propose an efficient method to implement security technology based on TYPE-I virtualization using ARM TrustZone technology.

• Electronics and Telecommunications Trends
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• v.35 no.5
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• pp.134-138
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• 2020

Blockchain is an enabling technology for managing data with high trust and transparency among connected computers. Blockchain emerged with the advent of the Bitcoin cryptocurrency, and then, evolved as general-purpose platforms such as Ethereum, EOS, R3 Corda, and IBM Hyperledger Fabric. The application of blockchain covers a broad range of areas such as fintech, decentralized identity, distribution, real estate trading, games, and drone air traffic management. Smart contracts are indispensable for constructing blockchain services. This survey classifies smart contract languages by their features and shows their differences from existing general-purpose programming languages.

• Journal of Venture Innovation
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• v.3 no.2
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• pp.41-76
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• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.