This study is to examine the perception and difference of existing market participants on the intention of accepting domestic cargo transportation platform and analyze the effect of the intention on acceptance using UTAUT. Through the analysis, we can quantitatively examine the expectation of the cargo transportation platform expected by the participants in the transportation market and suggest implications. As the results of the analysis of variance conducted to understand the difference according to the variables of each industry, it was found that there was no difference in attitude according to the cargo transportation platform for workers of various companies such as transportation, distribution, and manufacturing. The results of the test showed that performance expectation, effort expectation, significance influence, and social impact had a positive (+) effect on acceptance intention. However, the hypothesis that perceived risk would have negative (-) effects on acceptance intention was not significant and was rejected.
Purpose The purpose of this study is to empirically investigate the factors that influence users' continuous intention to use ChatGPT based on the Expectation Confirmation Model(ECM). Drawing from the literature, this study identifies anthropomorphism and trust as key characteristics of generative AI and ChatGPT. Design/methodology/approach The research model was developed based on ECM and literature research to investigate the impacts of anthropomorphism and trust on continuous intention of using ChatGPT. In order to test the hypothese, a total of 193 questionnaires were collected and analyzed for the structural equation modeling with SmartPLS 4.0. Findings The study's findings show that all proposed hypotheses were supported, suggesting that the ECM is a valid framework for examining continuous intention of using ChatGPT. Moreover, the study stressed the crucial role of anthropomorphism in the model, showing the positive impact on expectation confirmation, perceived usefulness, and trust in ChatGPT. Also, trust positively affects perceived usefulness. These findings provide valuable insights for enhancing user satisfaction and continuous usage intention, serving as a foundation for development strategies for ChatGPT and similar AI-based systems.
The application of mindfulness is increasing in corporation for business innovation. However, the influence of mindfulness has not been confirmed for employee in detail. Mindfulness is the awareness that arises from paying attention in the present. We often experience uncertainty abounds about what the information technology is, how well it works in the process of using information technology. According to the definition of mindfulness, mindfulness can deepen employee's thoughts and understanding of information technology and will provide a clue to the solution of the issue. This study focusses on impact of mindfulness on IT usage behavior, particularly on IT continuance usage. Research question of this study is whether mindfulness impact perceived factors related to IT continuance usage. The study of relationship between IT and mindfulness will have meaningful results because both IT and Mindfulness are aimed at corporate innovation. Based on most recent theory in IT continuance usage, called by Decomposed Expectation-Disconfirmation Model, we established hypotheses and examined the impact of mindfulness on perceived factors in process of IT continuance usage. For empirical analysis, we collected 303 employee samples and conducted Structural Equation Modeling for path analysis. We showed that mindfulness has a positive impact on perceived usefulness, usability and usefulness confirmation, usability confirmation. We also confirmed that antecedent of satisfaction is perceived usefulness, perceived usability and usefulness confirmation, usability confirmation, and satisfaction is the cause of IT continuance usage. We suggested academic and practical implication based on empirical analysis results. In academic perspective, we found the role of mindfulness in process of IT continuance usage. From practical point of view, we suggest to use of mindfulness program for IT continuance usage in corporation.
The purpose of this study was to identify the factors affecting intention and attitude of artificial intelligence technology(AI) of university students in healthcare using UTAUT model. Participants were 278 college students and the data were collected through self-reported questionnaire from May 15 to June 14, 2016. The collected data were analyzed using PASW Statistics/AMOS 22.0. The results were as follows. The effect of expectation factor, social influence, usefulness of work, anxiety factor had a significant effect on use of AI technology Intention. Factor of expectation effect, social influence, usefulness of work, anxiety factor had a significant effect on use of AI technology. As a result of verifying the significance of the indirect effect, it can be seen that the direct effect of the anxiety factor on the attitude factor is partially mediated by the use intention factor and the intention to use was partially mediated in the direct effect of the usefulness factor of the task on the attitude factor. This result means that it is important to increase the expectation factors, social effects, and perceived usefulness through accurate information based on facts and to reduce vague anxiety in order to increase the positive intention and attitude of university students' use of AI technology.
Journal of Korea Society of Industrial Information Systems
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v.13
no.3
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pp.38-53
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2008
This study focuses on identifying motivation factors affecting knowledge sharing behavior in virtual communities. To achieve this research objective, a research model has been developed through two major coordinated theories such as social cognitive theory(self-efficacy and community-related outcome expectation) and social exchange theory (codification effort, image, reciprocity, and enjoyment in helping others). 246 samples have been collected and simple regression and multiple regression methods have been used for empirical analysis. The research result is that self-efficacy has a positive influence on image, reciprocity, enjoyment in helping others, and community-related outcome expectation and thus this result reveals that self-efficacy indirectly affects knowledge sharing behavior. Among the antecedents of knowledge sharing behavior, codification effort, enjoyment in helping others and community-related outcome expectation are significant, but image and reciprocity are not. The research results help to derive practical strategic implications related to knowledge sharing to activate a virtual community.
With the advent of the Fourth Industrial Revolution, there is an increasing demand for interdisciplinary studies in the realm of university education. Accordingly, this study sought to explore learners' perceived expectation factors for a modular curriculum, one of the primary strategies for curriculum revision in interdisciplinary departments, by applying the Expectation Theory. Learners' perceptions were measured pre and post during the second semester of 2022. The results confirmed that among the expectation factors, the selection factor significantly decreased after the course compared to before. Changes in the understanding and perceived difficulty level of tool utilization within the course may have influenced these results. The significance of this study lies in providing direction for curriculum revisions in interdisciplinary departments by analyzing learners' perceptions of the modular curriculum. Specifically, curriculum design should focus on reducing difficulties and cognitive burdens associated with educational tool utilization. Furthermore, considering that students' prior experience and understanding of educational tools can impact educational outcomes, it is crucial to factor these elements when designing a modular curriculum.
Journal of Information Technology Applications and Management
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v.26
no.3
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pp.99-120
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2019
The purpose of this study is to provide information necessary for establishing a new strategy for customer service improvement by deriving factors affecting user satisfaction and continuous use intention of mobile app service user characteristics, system characteristics, and social characteristics. The results of this study are summarized as follows. First, reliability, innovation, familiarity, convenience, and self-efficacy among the characteristics of mobile app are analyzed as factors that have the greatest influence on user's perceived usefulness. Second, convenience, mobility, and visibility are some of the characteristics of mobile app service. Third, identity, security, and expectation agreement among mobile app service characteristics are analyzed as negative factors that do not affect users' perceived usefulness. Fourth, interactivity, familiarity, and self-efficacy among the characteristics of mobile app service were analyzed as positive factors that have the greatest effect on user's perceived ease of use. Fifth, reliability, mobility, visibility, and convenience among mobile app service characteristics are analyzed as factors that have some positive effects on perceived ease of use of app users. Sixth, identity, innovation, and security among the characteristics of mobile app service are negatively influenced by mobile app users' perceived ease of use. Seventh, the perceived usefulness of mobile app users is analyzed as a factor that has a very positive effect on user satisfaction. Eighth, the perceived ease of use of mobile app users is analyzed as a factor affecting perceived usefulness positively. Ninth, the perceived ease and expectation of mobile app users are positively influenced on user satisfaction. The tenth, the perceived usefulness of the mobile app users was analyzed as a factor having a very positive influence on the persistent intention to use. For the eleventh, the perceived ease of use of mobile app users was analyzed as a factor having a positive effect on the persistent intention to use. The twelfth, mobile app user satisfaction was analyzed as a factor having a very positive effect on the persistent intention to use.
This study was to investigated the factors influencing the decisions of nurses to resign. The purpose was to contribute information useful for the effective management of nurse staffing resources. The specific objectives were as follows : 1. To investigate the level of job satisfaction of nurses who resign. 2. To analyze the relationship of job expectations and the decisions to resign. 3. To investigate the major reason for nurses' resignations. 4. To identify the relationship of the general characteristics of the nurses and the factors influencing their decisions to resign. 5. To analyze the relationship of the intention to resign and the factors influencing the decisions to resign. The sample consisted of 90 nurses who worked at Y hospital in Seoul from march. 1987 to Feb. 1988 and who had resigned. The instruments used for this study were slavitt et al's Index of Work Satisfaction Scale and a job expectations scale developed by the researcher Analysis of data was done using frequency, t-test and ANOVA. The results of study were as follows : 1. There was no difference in the job satisfaction level of nurses who resigned compared with nurses in active service but the subcategory interaction score was lower and the subcategory salary score was higher than for nurses in active service. 2. Low job expectation scores influenced the decision to resign. 3. The major reason for resigning were personal problems such as marriage, childbirth, and relocation of family. 4. The length of employment and the number of different service areas of the nurses who resigned were associated with the job satisfaction level. 5. The nurses who had have an intention to resign while in active service had lower scores for job satisfaction and the job expectation score was a greater influence on the decision to resign. In conclusion, the factors influencing the decisions of nurse to resign were job satisfaction, job expectations and intention to resign while still in active service.
The purpose of this paper is to analysis of some factors of CIM systems which influence on the quality in our business. Through the influential factors from analysing preliminary inquiry, we surveyed the effects of CIM systems. In conclusion, we have proved that there are many differences in view of quality between the business adopted this system and the other not adopted this.
Journal of Korean Academy of Nursing Administration
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v.6
no.2
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pp.259-279
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2000
This study is a descriptive analytic research measuring nursing service quality, using SERVQUAL model, to make fundamental data and strategies for nursing service improvement. Data were collected by self-reported questionnaire from 202 patients and 142 nurses, from June 7 to 14, 1999. The reliability of instrument were adequate(Cronbach ${\alpha}=.94$). SAS program was utilized for statistical analysis of collected data. The results were as follows; 1. There was a gab between patient's expectation and perception on nursing service(Gap B). Gap D was indicated an affecting factor to decide nursing service quality. Gap C was indicated an indirect affecting factor of nursing service quality. Because it was not statistically significant in total item analysis, but in individual item analysis, 7 items were appeared statistically significant. Gap A was not a gap occurrence factor of nursing service quality. 2. Focuses of nursing service quality improvement strategies were; (1) to direct qualitative improvement of nursing service in order to correspondence patient's nursing service expectation. (2) to make nurse's service activity modified because nurse's practice were not reached patient's expectation level. (3) to need internal, external factor analysis affecting nurse's service activity. 3. Nursing service quality was decided by rather environmental inappropriateness provided nursing service than itself. Therefore, to make nursing service quality improvement, it is required to improve nursing service environment. For this, followings are required; (1) to strengthen nurse's education on lower part of nursing service satisfaction and QI activities. (2) to balance demand and supply of nursing personnel. 3) to fix computerized system for reducing other duties weight except nursing care through analysis of nursing activity. (4) to construct rational cooperating system among related departments. 4. The important parts for nursing service quality improvement were indicated as follows: (1) Gap B: 'prompt reaction', 'examination symptom before patient's complaint', 'hearted nursing service reducing patient's dissatisfaction', 'explanation goals of nursing activities', 'having special Knowledge enough', 'maintenance position comfortably', 'management of patient's physical hygiene'. (2) Gap C: 'maintenance physical safety', 'explanation about hospital rules and facilities'. (3) Gap D: 'tender, safe injection and wound care'. Because above items are mostly improved through nurse's attitude change and quality improvement, it is required to establish nursing standardization and to strengthen nurse's clinical education. As the based on above results, followings are suggested; 1. SERVQUAL model is very useful to make strategies for nursing service quality improvement because it indicates multiple factors affecting hap occurrence. 2. At individual items analysis of Gap C, statistically significant 7 items appeared higher nurse's perception level than patient's perception level on nursing service were trouble perception level on nursing service quality improvement. So. it need further research to analysis about these difference occurring factors. 3. At analysis of Gap D, it is indicated that in nursing service performance process, multiple factors lowing nursing service quality were intruded. So it needs further research to analysis what these factors are and how each factors affect on nursing performance process. 4. nursing service quality measurement is changeable according to sample select time or sampled subject's characteristics. So to develope strategy for nursing service quality improvement is based on the results of periodical analysis.
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