• Information Systems Review
• /
• v.19 no.1
• /
• pp.49-74
• /
• 2017

The development of smart devices has affected employees' working environments and their lives. However, using smart devices is causing employees to experience technostress. This study aims to investigate the effects of technostress in using smart devices on usage intention in an organization. Moreover, the study investigates the effect of employees' stress-coping methods on the intention to use smart devices. This study posits familiarity, use innovativeness, role ambiguity, system vulnerability, technological limitation, and ubiquity as the antecedents of technostress. Data collected from 317 users who have experience in using smart devices in organizations are empirically tested against a research model using the PLS graph. Analysis results show that role ambiguity, system vulnerability, and technological limitation significantly influence technostress. Moreover, users take up emotion-focused coping behaviors because of technostress. Emotion-focused coping behaviors affect usage intention in organizations. However, technostress and problem-focused coping behaviors do not directly affect usage intention in organizations.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.3
• /
• pp.418-427
• /
• 2017

The purpose of this study is to investigate the factors influencing the intention to use mobile healthcare services based on smartphones. Data collection was conducted from March 10, 2014 to April 8, 2005. The collected data were analyzed by SPSS WIN 23.0 and AMOS 18.0 using Path analysis and Structural equation modeling analysis. The results showed that service quality and innovativeness, which are external variables, had a statistically significant effect on perceived usefulness, and these two factors had a positive effect on the intention to use mobile healthcare services. Usefulness also has a significant effect on perceived usefulness, and content characteristics and cost rationality have a significant effect on usability. The usefulness of the service also directly affects the intention to use mobile health care services, and various factors affect their effective use. In response to the recent rise in medical expenses, mobile healthcare using smartphones has emerged and there is a need to develop awareness of the various attempts by companies to develop such apps. The government should also make effort to improve accessibility to healthcare services by introducing suitable policies. It is expected that future studies will be continuously conducted to confirm the development of differentiated services for mobile healthcare subjects and their intention to use them.

• Journal of Korean Library and Information Science Society
• /
• v.53 no.1
• /
• pp.231-263
• /
• 2022

The understanding and capability to utilize artificial intelligence (AI) incorporated technology has become a required basic skillset for the people living in today's information age, and various members of the university have also increasingly become aware of the need for AI education. Amidst such shifting societal demands, both domestic and international university libraries have recognized the users' need for educational content centered on AI, but a user-centered service that aims to provide personalized recommendations of digital AI educational content is yet to become available. It is critical while the demand for AI education amongst university students is progressively growing that university libraries acquire a clear understanding of user intention towards an AI educational content recommender system and the potential factors contributing to its success. This study intended to ascertain the factors affecting acceptance of such system, using the Extended Technology Acceptance Model with added variables - innovativeness, self-efficacy, social influence, system quality and task-technology fit - in addition to perceived usefulness, perceived ease of use, and intention to use. Quantitative research was conducted via online research surveys for university students, and quantitative research was conducted through written interviews of university librarians. Results show that all groups, regardless of gender, year, or major, have the intention to use the AI-related Educational Content Recommendation System, with the task suitability factor being the most dominant variant to affect use intention. University librarians have also expressed agreement about the necessity of the recommendation system, and presented budget and content quality issues as realistic restrictions of the aforementioned system.

• Information Systems Review
• /
• v.24 no.1
• /
• pp.125-155
• /
• 2022

Platform contrasts with traditional industry in terms of innovativeness as it is rapidly developing with information technology. To redeem preceding researches which have separately focused on either platform acceptance based on technology acceptance model or resistance factors against platform's innovation, this study applied dual factor theory to check the simultaneous influence of enablers and inhibitors on resistance. This study chose purchasers of online used trading platform as a subject of study since it contrasts with other platforms in many characteristics. Based on preceding studies, the moderating effects of their past purchase numbers on the relations between resistance and use intention were also checked. The findings reveal that economic benefit as an enabler had significant negative influence on the resistance, but social influence didn't have expected influence. In case of inhibitors, both perceived complexity and perceived risk had significant positive influence on the resistance. Though resistance had significant negative influence on the use intention, its influence was moderated into the positive direction as users' purchase number increased. Lastly, resistance had mediation effect between antecedent factors (economic benefit and perceived complexity) and use intention.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.7 no.2
• /
• pp.63-76
• /
• 2012

The possibility of successful commercialization of technologically innovative products depends on the degree to which consumers select and utilize the product. Therefore, the research that endeavors to find the usage behavior and the acceptance intention of users of technologically innovative products is a very important quest. This study empirically analyzes the factors that influence commercialization of a technologically innovative product: cloud computing. Existing studies examined acceptance intentions by expanding the TAM model and excluded attitude and usage behavior. This study determined attitude, usage behavior and personal characteristics of consumers to be important influencing factors. The results of the empirical analysis are as follows: First, the self-efficacy of personal characteristics had a significant effect on ease of use and acceptance intention and perceived costs had a significant influence on the factors of perceived usefulness and perceived ease of use. Second, research on the systematic characteristics of cloud computing confirmed that security was an important factor affecting acceptance intention while innovativeness was critical to ease of use. Third, of the usage characteristics among users of technologically innovative products, perceived usefulness had an effect on the acceptance and usage behavior of cloud computing, and perceived ease of use had an important influence on perceived usefulness. Currently, when cloud computing services have not yet become widespread to the public, this study proposed meaningful results for policy direction and commercialization strategies by revealing variables that influence acceptance and usage behavior.

• Journal of Intelligence and Information Systems
• /
• v.26 no.3
• /
• pp.1-36
• /
• 2020

This study is to reveal the acceptance factors of the Market Sentiment Index (MSI) created by reflecting the investor sentiment extracted by processing unstructured big data. The research model was established by exploring exogenous variables based on the rational behavior theory and applying the Technology Acceptance Model (TAM). The acceptance of MSI provided to investors in the stock market was found to be influenced by the exogenous variables presented in this study. The results of causal analysis are as follows. First, self-efficacy, investment opportunities, Innovativeness, and perceived cost significantly affect perceived ease of use. Second, Diversity of services and perceived benefits have a statistically significant impact on perceived usefulness. Third, Perceived ease of use and perceived usefulness have a statistically significant effect on attitude to use. Fourth, Attitude to use statistically significantly influences the intention to use, and the investment opportunities as an independent variable affects the intention to use. Fifth, the intention to use statistically significantly affects the final dependent variable, the intention to use continuously. The mediating effect between the independent and dependent variables of the research model is as follows. First, The indirect effect on the causal route from diversity of services to continuous use intention was 0.1491, which was statistically significant at the significance level of 1%. Second, The indirect effect on the causal route from perceived benefit to continuous use intention was 0.1281, which was statistically significant at the significance level of 1%. The results of the multi-group analysis are as follows. First, for groups with and without stock investment experience, multi-group analysis was not possible because the measurement uniformity between the two groups was not secured. Second, the analysis result of the difference in the effect of independent variables of male and female groups on the intention to use continuously, where measurement uniformity was secured between the two groups, In the causal route from usage attitude to usage intention, women are higher than men. And in the causal route from use intention to continuous use intention, males were very high and showed statistically significant difference at significance level 5%.

• Journal of Satellite, Information and Communications
• /
• v.11 no.3
• /
• pp.43-50
• /
• 2016

This study quantitatively measured the impact of blended learning with smart devices for learning satisfaction. It is targeted in specialized domestic company with IT Service which build smart learning systems and utilize for employee training. Specifically, it empirically analyzed that learning attitude(Self-efficacy, Self-innovativeness, Perceived usefulness, Perceived ease of use) with smart devices affect acceptance of smart learning and offline face-to-face learning satisfaction. As a result, the learning attitude of the smart learning gave a positive effect on the acceptance of the smart learning and then acceptance of the smart learning gave a positive effect on offline face-to-face learning satisfaction. Additionally learning the attitude of the smart learning even gave a positive impact, as well as the acceptance of smart learning experience in offline training. It imply that this variables of smart-learning attitude affect the self-directed learning and positive learning experience.

• Journal of Broadcast Engineering
• /
• v.21 no.5
• /
• pp.739-748
• /
• 2016

This study quantitatively measured the impact of blended learning with smart devices for learning satisfaction. It is targeted in specialized domestic company with IT Service which build smart learning systems and utilize for employee training. Specifically, it empirically analyzed that learning attitude(Self-efficacy, Self-innovativeness, Perceived usefulness, Perceived ease of use) with smart devices affect acceptance of smart learning and offline face-to-face learning satisfaction. As a result, the learning attitude of the smart learning gave a positive effect on the acceptance of the smart learning and then acceptance of the smart learning gave a positive effect on offline face-to-face learning satisfaction. Additionally learning the attitude of the smart learning even gave a positive impact, as well as the acceptance of smart learning experience in offline training. It imply that this variables of smart-learning attitude affect the self-directed learning and positive learning experience.

• Journal of the Korean Geographical Society
• /
• v.47 no.6
• /
• pp.955-974
• /
• 2012

This study investigated six teachers who used the lessons utilizing geospatial technologies including GPS and Google Earth. The lessons were designed to ask students to solve problems with the technologies rather than to teach students to just use technology and teachers to function more as a facilitator. Key findings include: (1) The teachers with background and interest in learner-centered teaching were more effective in implementing the lessons with their students while the teachers who were familiar with teacher-centered instruction often reduced learners' roles in the lesson; (2) Generally, students expressed huge interests in the lessons. Changes in attitude and participation toward lessons were more clearly observed from low achievers and passive learners; (3) Key influencing factors in adoption of lessons utilizing geospatial technologies were school culture toward innovativeness, characteristics of school administrators, learning experience of the lessons during the workshops, and support systems for lesson preparation and implementation.

• Journal of Digital Convergence
• /
• v.14 no.12
• /
• pp.85-93
• /
• 2016

This study attempts to understand the Facebook advertising diffusion behavior in the situation of increasing consumer activeness. Especially, this study focuses on the influence of motives for using Facebook on Facebook advertising diffusion behavior. -Survey for 243 university students was executed after preliminary interview for extracting question items of motives for using Facebook.- This study finds that the experiencer of Facebook advertising diffusion behavior shows stronger motives for using Facebook than non-experiencer of Facebook advertising diffusion behavior. Logistic regression analysis was conducted to find out the impact of verified variables on Facebook advertising diffusion behavior. It was found that 'self-expression motive' influences on the all Facebook advertising diffusion behavior significantly. Based on the results, academic and practical implications are discussed.