• Asia pacific journal of information systems
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• v.33 no.4
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• pp.934-956
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• 2023

This study focuses on the adoption of Healthcare Information System (HIS) in India's healthcare services, which has led to an increased use of HIS software for managing patient information in hospitals. The study aims to evaluate the factors that influence hospital workers' satisfaction with HIS usage and its impact on their intention to continue in the use of HIS. Primary data was collected through a survey questionnaire from 265 hospital workers. A new framework was developed, and Structural Equation Modeling (SEM) was used for analysis. Sensitivity analysis was also conducted on demographic data using an Artificial Neural Network (ANN) approach. The results indicated that all hypotheses were significant (p < 0.05). Effort expectancy was the most significant factor influencing hospital workers' satisfaction (p < 0.01). Sensitivity analysis showed that education (Model-A) and experience in use of HIS (Model-B) were the most important factors. The study contributes by proposing a new theoretical framework and extending the previous research on HIS usage satisfaction. Overall, the study highlights the importance of easiness and usefulness in predicting HIS usage satisfaction.

• Communications for Statistical Applications and Methods
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• v.22 no.6
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• pp.575-587
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• 2015

The development in data collection techniques results in high dimensional data sets, where discrimination is an important and commonly encountered problem that are crucial to resolve when high dimensional data is heterogeneous (non-common variance covariance structure for classes). An example of this is to classify microbial habitat preferences based on codon/bi-codon usage. Habitat preference is important to study for evolutionary genetic relationships and may help industry produce specific enzymes. Most classification procedures assume homogeneity (common variance covariance structure for all classes), which is not guaranteed in most high dimensional data sets. We have introduced regularized elimination in partial least square coupled with QDA (rePLS-QDA) for the parsimonious variable selection and classification of high dimensional heterogeneous data sets based on recently introduced regularized elimination for variable selection in partial least square (rePLS) and heterogeneous classification procedure quadratic discriminant analysis (QDA). A comparison of proposed and existing methods is conducted over the simulated data set; in addition, the proposed procedure is implemented to classify microbial habitat preferences by their codon/bi-codon usage. Five bacterial habitats (Aquatic, Host Associated, Multiple, Specialized and Terrestrial) are modeled. The classification accuracy of each habitat is satisfactory and ranges from 89.1% to 100% on test data. Interesting codon/bi-codons usage, their mutual interactions influential for respective habitat preference are identified. The proposed method also produced results that concurred with known biological characteristics that will help researchers better understand divergence of species.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.80-86
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• 2007

In this paper, we identified factors that affect the usage of UCC, which is becoming increasingly popular in our society and throughout the globe. Four hypotheses were tested using a new integrative model of UCC usage, which is built up by incorporating the TAM and the PAD(pleasure-arousal-dominace)model. We analyzed the data collected in our survey of 258 individual UCC users during the period from Oct 2006 to Dec 2006. We found that pleasure and arousal showed a strong significant effect on individual's UCC usage, supporting the findings of the exiting research on TAM. To be specific, arousal had an effect on the UCC usage through its effect on pleasure and self efficacy. Pleasure affected the UCC usage in two ways: First, pleasure affected UCC usage through increasing the ease of UCC service. At the same time, pleasure had a direct effect on the UCC usage. Contrary to what the prior research on technology acceptance suggested, we found ease of use and social influence had no significant effect on individual's UCC usage. We further found that such effects of the ease of use and pleasure factors are more positive in the entertainment-based UCC than in the relationship-based UCC.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.301-310
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• 2013

The purpose of this study is to explore the meanings of the features of university students with regard to their smartphone usage in order to establish the culture of good smartphone use. In-depth interviews were conducted with nine university students. The collected data were analyzed qualitative method. As a results, five theme and 18 subthemes of characteristic of smartphone usage were identified. Those themes include 1. background of smartphone usage, 2. attachment to smartphone usage, 3. building of my own the world, 4. emergence of new human relation, 5. burden of smartphone usage. This study provided practical suggestions and follow studies for good smartphone usage.

• Human Ecology Research
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• v.55 no.2
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• pp.105-124
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• 2017

The recent global economic crisis has resulted in increased discussion and attention on the sharing economy, a form of economic activity where individuals share currently available products. This study investigates consumer sharing economy usage attitudes and usage intentions by applying rational choice theory. For this study, an investigation that had 400 adult consumers from across Korea answer a structured questionnaire was conducted. A statistical approach using SPSS ver. 22.0 was used to analyze the data. The study found that the consumer's sharing economy value and participation levels were higher than usual. Higher than usual consumption patterns were seen for the construct of rational behavior theory. An analysis of the relative influence of variables regarding sharing economy usage intention also found that usage intention was higher for those who had experienced using a sharing economy services rather than those who did not have experience. In addition, the sharing economy usage intention also increased along with the values for subjective norms, sharing economy usage attitudes, sharing economy participation, sharing economy emotional benefits, and increased values. This study found that fundamental materials for consumer education should be made to eliminate difficulties that consumers have when they use sharing economy services. It is also expected that economic policy will develop to stimulate the sharing economy in a stable manner, that sharing economy-related information will be provided to consumers, and that consumer policies will be prepared to prevent consumer problems before they occur.

• Journal of Information Technology Services
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• v.9 no.2
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• pp.129-149
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• 2010

Although many organizations have implemented and used ERP systems for years, industry reports point out that the usage level does not reach their expectation. As a result, they do not enjoy the benefits from the investment into ERP systems. This study attempts to develop a research model and test the model empirically for identifying factors that affect the usage of an ERP system at a public organization. This study has classified potential factors into three groups of technical system characteristics (usability, usefulness), organizational support characteristics (operational support, education and training, evaluation and measurement), and user characteristics (organizational citizenship, self-efficacy). Then, a structural equation model has been established on the basis of previous literature and tested with empirical data. In summary, this study has found that self-efficacy, usefulness, and operational support have an effect on the ERP usage. Self-efficacy is the strongest factor; Usefulness is the second; and the third is operational support. On the contrary to the previous literature, this study has not found a significant effect of organizational citizenship on the usage. The result confirms that an organization can increase the ERP usage by improving the usefulness of an ERP system to some extent. However, to boost the usage further, the result implies that organizations need to strengthen the self-efficacy of their members by reinforcing operational support, providing education and training steadily, and establishing an evaluation mechanism in relation with the ERP usage.

• Journal of Information Technology Applications and Management
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• v.20 no.3_spc
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• pp.259-278
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• 2013

At the center of the repeating evolution of IT industry, there is mobile computing in the ubiquitous environment, and the increasing usage of smart phones contribute more to its growth. P corporation co-developed with Google and implemented smart work system called SWP for the purpose of 'communication and collaboration with co-workers' beyond the general goal of increasing productivity and comfort of employees. The primary objective of this study is to objectively analyze the influence of the effect factor from end user's perspective and user satisfaction on SWP usage, intention for continuous usage and individual performance. To accomplish this research purpose, this study established research models and hypothesis by collective review about information system success models, and tested the research hypotheses using the structural equation modeling technique by data collected from 320 SWP system users of P corporation. Variations for system satisfaction evaluation standard are 1)SW system usage 2) intention for continuous usage 3) individual performance, effect variations are 1) social factors 2) technical factors 3) combination of social and technical factors. Therefore, this study is about influence factors on success of SWP system and how the factors impact the outcome. The test results of this research model is summarized as follows. Firstly, system user's satisfaction had positive impact on all three; SWP system usage, intention for continuous usage and individual performance. Secondly, social factor 'SWP control system' and technical factor 'information quality' and 'system quality' had positive impact on SWP system user satisfaction, while social factor 'shared value' and technical factor 'service quality' did not have significant effect on user satisfaction. Shared value however, had interactive effect with 'information quality' and 'service quality'. This study is expected to contribute to spread of academic research on smart work system by suggesting a model that can show important factors for corporation while explaining the successful implementation of SWP and its continuous usage.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.119-126
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• 2021

Recently OTT video service has grown rapidly and has a negative impact on the growth of pay-TV subscribers. Consequently the substitution of OTT services for pay-TV services will begin. This study explores OTT usage patterns, dividing into three sectors (OTT service use, OTT usage volume, and paid-OTT service use), by considering users' demographice factors, smart device ownership, pay-TV subscription, and bundle service use, by employing the Mediapanel dataset. The results showed that age, income, smartTV usage, market size, cable/satellite subscribers, TV VOD expenses, movie VOD expenses, and mobile bundle use are associated with OTT service use. The results also showed that age, household sizes, tablePC usgage, cable/satellite subscribers, TV VOD expenses, other VOD expenses, and unlimited data plans are associated with OTT usage volume. Lastly the results showed that age, gender, income, tabletPC usage, cable subscribers, other VOD expenses, mobile bundle usage, and unlimited data plans are associated with paid-OTT service use.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.143-146
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• 2004

With the rapid growth of e-commerce, marketers are able to observe not only purchasing behavior on what and when customers purchased, but also the individual Web usage behavior that affect purchasing. The richness of this information has the potential to provide marketers with an in-depth understanding of customer. Using commonly available Web log data, this paper examines Web usage behaviors at the individual level. By decomposing the buying process into a pattern of visits and purchase conversion at each visit, we can better understand the relationship between Web usage behavior and purchase decision. This allows us to more accurately forecast a shopper's future purchase decision at the site and hence determine the value of individual customers to the siteAccording to our research, not only information seeking behavior but also visiting duration of a customer and participative behavior such as participation in event should be considered as important predicators of purchase decision of customer in a cosmetic internet shopping mall.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.61-74
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• 2012

This studies aims to examine the factors that affect continuous usage reliability of social commerce users that has been really active recently based on using EDT (Expectation Disconfirmation Theory) and extended ECM (Expected confirmation Model). With a statistical analysis, this paper suggests a conceptual model, based on the empirical evidence from this study. The result reveal that perceived usage easiness has a positive effect on meeting the expected confirmation and satisfaction. As perceived quality, social influence and price appeared to reflect a positive effect on fulfilling expected confirmation. This implies that users consider perceived usage easiness, perceived quality, social influence and price important in using social commerce persistently and that as their expected confirmation fulfillment and satisfaction increase that leads to further rise in their future intended continuous usage.