• Journal of the Korea Society of Computer and Information
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• v.25 no.2
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• pp.231-239
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• 2020

Cryptocurrency, represented by Bitcoin, initially received little public attention, but recently raised global cryptocurrency investments with recognition of future value. The academic interest in cryptocurrency lies elsewhere. This is because the future value of cryptocurrency is likely to be highly applicable to the technology underlying cryptocurrency. The technology is the blockchain. The purpose of this study is to find out what factors influence logistics companies to adopt blockchain technology. Based on the TOE frame, this study presented expected profit, organizational readiness, technology compatibility, and competitive pressure as factors of adoption of blockchain technology. And the effects of these factors on the adoption intention of logistics companies were analyzed empirically. A survey was conducted on Korean logistics companies. Analysis of the collected data showed that expected profit, organizational readiness, technology compatibility, and competitive pressures influence the intention to adopt blockchain technology. Among them, however, expected profit and organizational readiness were found to have the greatest influence on adoption intention.

• Management & Information Systems Review
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• v.36 no.2
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• pp.239-260
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• 2017

This study is to explore the factors that may affect the social adoption diffusion of innovative technology, focusing on smart mobility. It reviewed the literature on theory of social acceptance-diffusion and technology adoption model of innovative products, set up structural equation model that includes the causes and effects of perceived usefulness(the nexus among influences, perceived usefulness and purchase intention) and empirically tested the relationship. The survey, covering 534 non-users, was conducted from August 1, 2016 through August 12, 2016. The results show that compatibility and relative advantage significantly positively affect adoption intention through perceived usefulness, and that communication significantly negatively affect. However, complexity and service quality do not have significant positive effects on perceived intention and purchase intention. Some implications to promote social acceptance of smart mobility based on the results of the study are offered.

• Asia pacific journal of information systems
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• v.28 no.4
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• pp.320-349
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• 2018

Purpose: The application of IoT is finding continuous acceptance in our daily lives, particularly, smart speakers are making life easier and convenient for consumers. This research aims to develop and test an integrated model of factors influencing consumer's adoption of voice-enabled IoT devices. Design/methodology/approach: Based on the VAM, an integrated voice-enabled IoT device adoption model is proposed. Gender differences on five constructs relating with perceived value (perceived usefulness, perceived enjoyment, perceived security risk, perceived technicality and perceived cost) was also examined through PLS-MGA technique. The usage experience of consumers was also controlled in the integrated VAM. Findings: Result shows that Perceived-Usefulness, Perceived-Enjoyment and Perceived-Cost have a strong effect on Perceived-Value. However, Perceived-Technicality and Perceived-Security-Risk are non-influential and have no significant effect on PV. Additionally, Perceived-Value and Social-Influence plays a significant role in predicting adoption intention. Gender differences also exist in consumers perception of usefulness, enjoyment and cost. In comparison to the basic value-based adoption model, the integrated model provides more insight on consumers adoption of voice-enabled IoT devices. Originality/value: Using an integrated model, this study is one of the first scholarly attempt at modelling the influential factors for adopting smart speakers i.e., voice-enabled IoT devices, with implications for improved adoption.

• 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.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.1-10
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• 2018

Wearable Technology is going to be the biggest buzzword and the next generation of digital revolution in the near future. Wearables have changed the focus of the healthcare industry to prevention programs in order to encourage individuals to be more active and to take the responsibility of their own health. Although, the intention of consumers to use wellness wearables has been growing rapidly, the number of individuals who refuses continued use of such devices increases day-by-day. Diffusion and innovation of new technology could be more efficiently gained by consumer's adoption. So, it is extremely important for providers and designers to understand the impact of positive and negative factors on consumers' intention to use wellness wearables. Moreover, a unified framework is required for better understanding of individuals' behavioral intention for using wellness wearables. Thus, the goal of this study is to identify the potential factors that influence consumers' willingness to use wellness wearables as well as proposing a unified framework based on Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Value-based Adoption Model (VAM) with two extra factors, perceived trust and perceived health increase. The findings of this article improves the theoretical understanding of the engaged factors in the proposed research model of the study.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.141-157
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• 2024

This study examines the impact of cryptocurrency value characteristics on cryptocurrency investment intention. Stock craze and information provided through various media, including YouTube, play an essential role in helping investors recognize the value of cryptocurrency and develop positive investment intentions. In this study, we applied the Value-Based Adoption Model (VAM) to verify the relationship between cryptocurrency value characteristics and investment intention. We surveyed 500 cryptocurrency investors to assess network externalities, awareness, compatibility, cost benefits (fees), technicality, security, perceived value, and investment intentions. SEM (Structural Equation Modeling) using AMOS 26.0 was used for data analysis. Results show that network externalities, awareness, compatibility, cost benefits (fees), security, and perceived value significantly impact investment intention. This study provides insights that help investors accurately perceive cryptocurrencies and develop strategies to increase investment intentions. It also contributes to improving investors' decision-making ability. This comprehensive approach will foster the growth of the cryptocurrency market and strengthen investor confidence.

• International Journal of Computer Science & Network Security
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• v.24 no.9
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• pp.50-62
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• 2024

The decision to integrate mobile cloud computing (MCC) in higher education without first defining suitable usage scenarios is a global issue as the usage of such services becomes extensive. Consequently, this study investigates the security determinants of the educational use of mobile cloud computing among universities' students. This study proposes and develops a theoretical model by adopting and modifying the Protection Motivation Theory (PMT). The study's findings show that a significant amount of variance in MCC adoption was explained by the proposed model. MCC adoption intention was shown to be highly influenced by threat appraisal and coping appraisal factors. Perceived severity alone explains 37.8% of students "Intention" to adopt MCC applications, which indicates the student's perception of the degree of harm that would happen can hinder them from using MCC. It encompasses concerns about data security, privacy breaches, and academic integrity issues. Response cost, perceived vulnerability and response efficacy also have significant influence on students "intention" by 18.8%, 17.7%, and 6.7%, respectively.

• International Journal of Computer Science & Network Security
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• v.24 no.8
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• pp.105-118
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• 2024

The decision to integrate mobile cloud computing (MCC) in higher education without first defining suitable usage scenarios is a global issue as the usage of such services becomes extensive. Consequently, this study investigates the security determinants of the educational use of mobile cloud computing among universities students. This study proposes and develops a theoretical model by adopting and modifying the Protection Motivation Theory (PMT). The studys findings show that a significant amount of variance in MCC adoption was explained by the proposed model. MCC adoption intention was shown to be highly influenced by threat appraisal and coping appraisal factors. Perceived severity alone explains 37.8% of students "Intention" to adopt MCC applications, which indicates the student's perception of the degree of harm that would happen can hinder them from using MCC. It encompasses concerns about data security, privacy breaches, and academic integrity issues. Response cost, perceived vulnerability and response efficacy also have significant influence on students "intention" by 18.8%, 17.7%, and 6.7%, respectively.

• Knowledge Management Research
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• v.19 no.4
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• pp.99-118
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• 2018

Recently, individuals are interested in a variety of products and services based on artificial intelligence. Among those products and services, an intelligent personal assistants are attracting many attention from IT companies as a next generation platform. Thus, the main purpose of this study is to investigate effects of intelligent personal assistant's benefits on user's value formation and adoption behavior based on Value-based Adoption Model. In addition, the moderating effect of personal innovativeness is examined through empirical analysis. Based on the analysis with the data from actual users, the results show that usefulness, enjoyment, technicality and cost advantage have significant influences on perceived value and correspondingly have an effect on intention to adopt. Personal innovativeness is related to the relationship between perceived value and intention to adopt. These findings may provide important insights to the relevant field regarding the use and spread of intelligent personal assistants.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.165-180
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• 2010

This study takes a holistic approach to understanding 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 telecom, has been recently launched commercially in Korea. We created a structural model of adoption-diffusion, using the perceived ease-of-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 identity 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 fe-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.