• Asia pacific journal of information systems
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• v.11 no.2
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• pp.23-55
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• 2001

It is generally agreed that realizing the full potential of the internet shopping mall(ISM) requires careful identification of customer needs and expectations. However, a quantitative framework to explain and predict users' behavior toward ISM has not been well established because the research on the user acceptance of ISM is still in its infancy. This study proposes a model which uses factor analysis to identify factors of ISM characteristics and individual characteristics affecting user acceptance of ISM. Predictive models based on the multiple regression analyses select the factors and their interactions with individual characteristics that significantly influence user acceptance. Results show that five factors including economy, convenience, credibility, reliability, information risks, and performance risks affects user acceptance. In addition, individual differences in terms of innovativeness, playfulness, and recreational shopping traits have both direct and interaction effects on user acceptance. The implication of this study is that, although user attitudes towards ISM characteristics in general are important to their acceptance behavior, the level of importance depends upon different user groups.

• Journal of the Korean Society of School Health
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• v.35 no.1
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• pp.31-39
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• 2022

Purpose: The purpose of the study was to examine the meditating effect of unconditional self acceptance on the relationship between life stress and depression in nursing students. Methods: Data was collected from a survey of 140 nursing students using self-reported questionnaires. The data was analyzed using IBM SPSS Statistic 25.0. The mediating effect of unconditional self-acceptance on the relationship between the subject's life stress and depression was analyzed using Baron and Kenny's method. In addition, the Sobel test was conducted to determine the significance of the mediating effect. Results: The regression model explained 43% of the variance in nursing students' depression. Significant factors were task-related life stress, unconditional self acceptance, and academic achievement. Unconditional self acceptance had a partial mediating effect on the relationship between nursing students' task-related life stress and depression. Conclusion: To prevent depression in nursing students, it is necessary to build effective strategies to manage task-related stress and improve unconditional self-acceptance.

• Nuclear Engineering and Technology
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• v.54 no.3
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• pp.1098-1108
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• 2022

The effect of the material hardening model of the canister on a finite element vertical cask drop simulation is investigated for the strain-based acceptance evaluation. Three different hardening models are considered in this paper: the isotropic hardening model, the strain rate-dependent Johnson-Cook (J-C) hardening model, and the modified J-C model which are believed to be the most accurate. By comparing the results using the modified J-C model, it is found that the use of the J-C model provides similar or larger stresses and strains depending on the magnitudes of the strain and strain rate. The use of the isotropic hardening model always yields larger stresses and strains. For the strain-based acceptance evaluation, the use of the isotropic hardening model can produce highly conservative assessment results. The use of the J-C model, however, produces satisfactory results.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1053-1064
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• 2020

This study aims to determine the perceptions of Islamic Financial Cooperative (BMT) managers in the Indonesian BMT Association on the acceptance of core banking technology. The Technology Acceptance Model (TAM) is used because it has simple theoretical characteristics (parsimony) and is supported by data (verifiability). This study develops the TAM model by integrating new variables -perceptions of maqashid sharia, perceptions of economies of scale, perceptions of market structure, and perceptions of technology procurement costs. These new variables are used to measure intention in using technology and actual usage in BMT operations. This study used PLS-SEM with smartPLS 3. The study was conducted in Central Java in six ex-Residency at 35 BMT with 300 respondents consisting of six levels of position level. The research found that maqashid sharia and market structure directly influenced the intention of BMT managers in using core banking technology. This new finding strengthens a theoretical model regarding the role of maqashid sharia in the acceptance of information technology in BMT. In addition, the perception of economies of scale has no significant effect on intention in using technology or its actual usage. The perception variable of technology procurement costs was found to have no significant effect on intention in using technology.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3972-3985
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• 2016

Organizations have been implementing mobile applications that actually connect to their backend enterprise applications (e.g. ERP, SCM, etc.) in order to increase the enterprise mobility. However, most of the organizations are still struggling to fully satisfy their mobile application users with the enterprise mobility. Even though it has been regarded as the right direction that the traditional enterprise system should move on, the studies on the success model for mobile enterprise applications in user's acceptance perspective can hardly be found. Thus, this study focused not only to redefine the success of the mobile enterprise application in user's acceptance persepective, but also to find the impacts of the factors on user's usage behavior of the mobile enterprise applications. In order to achieve this, we adopted the Technology Acceptance Model 2 (TAM2) as a model to figure out the user's behavior on mobile applications. Among various mobile enterprise applications, this study chose mobile ERP since it is the most representing enterprise applications that many organizations have implemented in their backend. This study found that not all the constructs defined by Davis in TAM2 have a significant influence on user's behavior of the mobile-ERP applications. However, it is also found that most social influence processes of TAM2 influence user's perception of the degree of interaction by mobile-ERP applications.

• Journal of Distribution Science
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• v.7 no.3
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• pp.25-48
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• 2009

This paper examines an augmented technology acceptance model, which includes perceived interaction as a mediator in the relationships between the technology acceptance model (perceived ease of use, perceived usefulness) and student satisfaction in online classes, and its impact on student satisfaction. Data has been collected from 842 undergraduate students in online universities. The data is analyzed by using factor analysis and structural equation modeling techniques. The results demonstrate that perceived ease of use, perceived usefulness, and perceived interaction serve as predictors for student satisfaction in online classes. Perceived usefulness has a positive relationship with perceived interaction while perceived ease of use has no effect on interaction.

• Korean Journal of Health Education and Promotion
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• v.31 no.4
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• pp.25-36
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• 2014

Objectives: The self-management of chronic diseases is currently receiving much attention. This study applied an extended technology acceptance model (ETAM) to analyze the factors influencing acceptance of a healthcare smartphone application. Methods: Three hundred people living in Seoul and Gyeonggi who used smartphones were quota sampled. A telephone survey was conducted using a structured questionnaire based on ETAM. A path analysis was carried out using the AMOS 17.0 program, and the model was verified. Results: The analysis revealed significant factors of perceived usefulness (.374, p < .001), enjoyment (.210, p < .001), subjective norms (.168, p < .001), perceived costs (.146, p < .001), and innovativeness (.138, p < .001). Cost directly influenced intention to use health applications; self-efficacy and perceived ease of use indirectly affected intention through innovation and perceived usefulness. Conclusions: This study helped to identify the main factors that influence usage intention of smartphone applications. These findings could contribute to promoting the self-management of chronic disease through future health applications using smartphones.

• Journal of Information Technology Applications and Management
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• v.17 no.4
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• pp.1-17
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• 2010

As web technologies evolve and so-called Web 2.0 technologies appear, collective intelligence is being applied in widespread areas. In general, mass collective intelligence like Wikipedia is created, revised, and managed by anonymous participants in an uncontrolled system. Thus, the knowledge provided by mass collective intelligence may be distorted, and may not be true, which may affect the user acceptance behavior. However, there have been few academic studies that analyzed the factors that affect user acceptance of mass collective intelligence, and their relationships. Under this academic background, we develop a model to examine how mass collective intelligence is accepted by users. The theoretical model is validated through an online survey of the Wikipedia users from three universities in Korea. The results reveal that the users will have positive attitude towards adopting mass collective knowledge when they perceive that the knowledge from mass collective intelligence is useful. We also find that the perceived usefulness of the knowledge is affected by perceived knowledge quality and trust in knowledge contributors. The results also suggest that perceived knowledge quality is determined by perceived level of collaboration, perceived objectivity, and recipient expertise, whereas trust in knowledge contributors is determined by natural propensity to trust and perceived objectivity. Theoretical and practical implications about mass collective knowledge are discussed.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.107-115
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• 2015

The social commerce is an innovative and emerging transaction. It is the result of combination with transaction and social media technology. This study analyzes Korean college students' social commerce behavior through extending technology acceptance model(TAM) with social influence(SI). We confirmed all proposed hypotheses are significant and supported by the given data through PLS path modeling method with SmartPLS. It indicates that SI is an important factor influencing intention to use, so SI should be consider for theorists to enhance explanation and prediction of TAM and for practitioners to earn higher performances as well. Finally, based on the findings, suggestions for future studies are discussed.

• The Journal of Information Technology
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• v.7 no.3
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• pp.47-61
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• 2004

The emergence of the Internet as a tool for the business-to-consumer aspect of e-commerce has far reaching ramifications. Most importantly, it has created opportunities for businesses to reach out to consumers in a very direct was and create electronic markets. This study treats e-commerce as a technology adoption process and evaluates the suitability of popular adoption models. This research supports the use of the technology acceptance model to predict online shopping activity, both the intention to shop online and actual purchases. Also this research finds that the task-technology fit model is a valuable addition to the technology acceptance model for online shopping tasks.