• The Journal of Information Systems
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• v.31 no.2
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• pp.63-88
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• 2022

Purpose The purpose of this study is to empirically analyze the factors affecting the intention to use cloud computing in the smart work environment. This study is meaningful in that it examines the characteristics of smart work and the fit of cloud computing characteristics, and it is a study that reveals the factors affecting the intention to use cloud computing by applying the integrated model of TTF and TAM. Design/methodology/approach In order to understand the factors affecting the intention to use cloud computing in the smart work environment, a research model that integrates TTF and TAM with the hypothesis was proposed. In order to verify the research hypothesis, this study conducted a survey on individuals with experience in smart work and cloud computing. And with the data 280 collected in the survey, path analysis was performed using the PLS structural equation. Findings As a result, it was found that task characteristics and technology characteristics had a positive (+) effect on task-skill fit, and task-skill fit had a positive (+) effect on perceived ease of use and usefulness. Also, task-skill fit, perceived ease of use, and perceived usefulness were found to have a positive (+) effect on intention to use.

• The Journal of Industrial Distribution & Business
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• v.10 no.11
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• pp.57-69
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• 2019

Purpose: The purpose of this study is to investigate systematic and comprehensive explanation about safety behavior by applying integrated model of Theory of Planned Behavior (TPB) and Social Cognitive Theory (SCT). By showing the interrelationship of effects of factors affecting safety behavior in a single model, comprehensive understanding regarding safety behavior will be possible. Research design, data, and methodology: This study try to integrate the two theory, TPB and SCT, to introduce background factors, such as safety culture, affecting cognitive factors of subjective norm, safety attitude, perceived behavioral control, safety consciousness, which are again affecting behavior intention of the TPB. We composed 73 questionnaire to analyse the relationship among factors affecting safety behavior. The questionnaire were distributed to stewards and stewardesses of KAL, ASIANA, and LCCs. 422 were collected and used for analysis. Factor analysis, regression analysis, and control effect analysis were conducted using SPSS windows version 2.0. Results: The safety culture, safety atmosphere, and safety education/training were turned out to affect subjective norm, safety attitude, perceived behavioral control, safety consciousness. And the cognitive factors also showed to affect safety intention significantly. The results that safety intention affects safety behavior was found. Also there are control effect of cost consciousness and punishment while safety intention affects safety behavior. Conclusions: Safety is the virtue that should be given first priority to in our daily life. To secure safety, everyone in an organization should have high level of safety intention and conduct safety behavior. The study results provide systematic and comprehensive understandings on the relationship among factors affecting cabin crews' safety behavior. The results will help design safety related regulations, education/training, and support employees to engage in safety behavior related activities.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.413-425
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• 2021

This study examines the motivation for using YouTube 'mukbang' content by integrating the use and satisfaction approach and the technology acceptance model, and identified the determinants that affect the continuous use intention. A survey was conducted on 358 YouTube 'mukbang' content users, and major results were derived through exploratory/confirmatory factor analysis and path analysis using the SPSS 21.0 program and the AMOS 21.0 program. The main results are presented as follows. First, information seeking motive, stress relief motive, and time spending motive had a positive effect on perceived usefulness, and information seeking motive and time spending motive had a positive effect on perceived ease of use. Second, information seeking motivation, stress relief motivation, and time spending motivate had a positive effect on perceived enjoyment and perceived novelty. Third, perceived enjoyment did not have a significant effect on perceived usefulness. Fourth, both perceived enjoyment and perceived novelty had a positive effect on continuous use intention. Fifth, perceived ease of use had a positive effect on perceived usefulness, and perceived ease of use and perceived usefulness had a positive effect on continuous use intention. This study will have academic significance in that it elaborates a model that can identify the continuous use of YouTube 'mukbang' content by integrating the uses and gratifications approach, and technology acceptance model. Future follow-up studies should contribute to the refinement of models related to the determinants of the intention to continue using YouTube's 'mukbang' content through an attempt to integrate various models.

• Journal of KIISE
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• v.44 no.12
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• pp.1252-1257
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• 2017

In dialogues, speakers' intentions can be represented by sets of an emotion, a speech act, and a predicator. Therefore, dialogue systems should capture and process these implied characteristics of utterances. Many previous studies have considered such determination as independent classification problems, but others have showed them to be associated with each other. In this paper, we propose an integrated model that simultaneously determines emotions, speech acts, and predicators using a convolution neural network. The proposed model consists of a particular abstraction layer, mutually independent informations of these characteristics are abstracted. In the shared abstraction layer, combinations of the independent information is abstracted. During training, errors of emotions, errors of speech acts, and errors of predicators are partially back-propagated through the layers. In the experiments, the proposed integrated model showed better performances (2%p in emotion determination, 11%p in speech act determination, and 3%p in predicator determination) than independent determination models.

• Journal of Distribution Science
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• v.15 no.11
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• pp.5-19
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• 2017

Purpose - According to the research findings, it proposes corresponding market promotion schemes, for Alipay, WeChat wallet and even other payment service providers and mobile internet companies to understand the factors which promote or hinder users' acceptance of mobile payment. Research design, data, and methodology - Statistic analysis of data and social science statistical software of IBM Statistics 23.0 and IBM SPSS AMOS 23.0 were adopted for all the data researched. Results - The technical features of the third party mobile payment and the task characteristics of users have positive influence on the matching degree between task and technology, and the matching degree between task and technology of the third party mobile payment has positive influence on the performance expectancy, effort expectancy and usage intention. The social influence, facilitating condition, price value and enjoyment motivation have significant and positive influence on users' intention of mobile payment adoption. The perceive security of the mobile fingerprint payment of users has positive influence on users' intention of usage. Conclusions - This research has the main contribution on the analysis on the key factors with influence on the third party mobile payment usage by utilizing the integrated model of UTAUT2 and TTF.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.113-128
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• 2021

In the rapidly developing 4th industrial revolution. RPA is increasing in use at home and abroad due to its advantages of simplifying workflow and providing flexibility and scalability at the same time. Thus, this paper conducted an empirical study on companies using RPA to determine which factors affect the intention to use the services provided by RPA systems. As system characteristics, exogenous variables were selected as information quality, system quality, and service quality of the information system success model. The endogenous variables were selected as the system acceptance factors for the performance and effort expectancy of the integrated technology acceptance model, and the perceived economic values and functional values were additionally selected. For the purpose of this study, a structured questionnaire was used for empirical analysis and the proposed hypothesis was verified through the path analysis of structural equations. As a result of the study, there was no significant relationship between service quality and effort expectancy, between service quality and economic value, and it was verified that the relationship between other factors was positively significant.

• The Journal of Information Systems
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• v.28 no.3
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• pp.159-202
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• 2019

Purpose The purpose of this study is to explain users' wearable healthcare device adoption using performance expectancy, effort expectancy, the hedonic motivation and price value of UTAUT2, and to identify the causal relationship between intention to use wearable healthcare device and innovation resistance formed by perceived risks. Design/methodology/approach The research model proposed in this study is based on UTAUT2(Extended Unified Theory of Acceptance and Use of Technology) and MIR(Model of Innovation Resistance). In specific, performance expectancy, effort expectancy, hedonic motivation and price value of UTAUT2 and innovation resistance formed by perceived risks of MIR are adopted in our research model. To validate the research model, we carry out the analysis of the survey data using Smart PLS 3.0 to test the hypotheses. Findings According to the empirical analysis results, this study confirms that the performance expectancy, effort expectancy, hedonic motivation, and price value have significant effects on the intention to use wearable healthcare devices. It also finds that perceived risk affects innovation resistance and in turn, innovation resistance affects the intention to use wearable healthcare devices.

• Asian Journal of Business Environment
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• v.11 no.3
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• pp.5-19
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• 2021

Purpose: The purpose of this research is to study the role of life satisfaction, quality consciousness, and religiosity, which are integrated with the TRA Model to explain the switching intention of Muslim consumers to use Halal Cosmetics and Personal Care (HCPC). The second purpose is to investigate the relationship between variables used in this study to provide recommendations to HCPC producers about Muslim consumer behavior in the market. Research design, data, and methodology: The target population in this study is Muslims who live in Greater Jakarta. Data collection is carried out by the self-administered survey method based on the Purposive sampling technique, and the questionnaire is distributed online. The statistical analysis to test the research hypotheses is the Partial Least Squares - Structural Equation Model (PLS-SEM). Results: Life satisfaction, product quality consciousness, and religious commitment have a significant effect on attitude to switching but do not significantly influence the intention of switching to use HCPC. Conclusions: Life satisfaction, quality consciousness, and religiosity that represent individual factors indirectly affect the intention to switch to use HCPC. Thus, religious commitment influences attitude to switching both directly and indirectly.

• The Journal of Information Systems
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• v.31 no.2
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• pp.197-216
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• 2022

Purpose In this study, in order to understand the effects of NTIS users' behavioral scientific behaviors and determinants, an integrated model of the UTAUT(Unified Theory of Acceptance and Use of Technology) model and TTF(Task-Technology Fit) model, which are frequently used MIS field, was presented and empirical analysis was conducted. Design/methodology/approach In this study, an online survey was conducted on researchers from organizations carrying out national R&D projects, institutions, universities, and dedicated management institutions and the collected data verified hypotheses established using the SPSS 25.0 statistical package and structural equation model using AMOS. Findings The results showed that NTIS users' business activities had a positive(+) effect on task-technology fit and task-technology fit had a positive(+) effect on performance expectation, effort expectation, and continuous intention-to-use intention. In addition, the performance expectation, effort expectation, and promotion conditions presented in research model had a positive(+) effect on the continuous intention-to-use. The research results derived through this study are expected to contribute substantially to subsequent research in the field related to information sharing platforms.

• Journal of Distribution Science
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• v.20 no.3
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• pp.95-106
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• 2022

Purpose: This study aims to verify the effects of omnichannel characteristics on pleasure, resistance and repurchase intention in the omnichannel situation in order to provide the innovative commercial business. Research design, data and methodology: The study examined relations between research concepts centered on previous studies, set hypotheses, developed a research model, and verified the model through a questionnaire survey. A total of 297 questionnaires were used for the final analysis, excluding the questionnaires showing insincere or outliers. Results: First, Omnichannel showed multi-dimensional characteristics consisting of consistency, innovation, economy, and integration. Second, innovation and economic feasibility had a positive effect on pleasure. Third, only economic feasibility had a negative effect on user resistance. Fourth, consumers' shopping pleasure had a negative effect on user resistance. Fifth, repurchase intention of consumers was positively affected by innovation. Conclusions: This research contributed to extend academic framework of distribution research by examining causal relationship through adoption of economic and innovation factors as new characteristics from the integrated perspective beyond the research frame of the existing omnichannel distribution environment. Companies should provide meaningful experiences by resolving concerns about side effects caused by human-computer interaction and providing smart information that matches the products most suitable for consumer needs.