Measuring social influence, user perception, innovation attributes and user satisfaction in the enterprise resource planning context

Hsu, Li Ling; Chen, Jason C.H.; Se, Chun Weng

doi:10.1504/ijbsr.2009.027198

Cited by 7 publications

(3 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…User satisfaction after using any software will increase user necessity and use intensity of the software. According to Hsu et al (2009), there is a positive relationship between use satisfaction and information system use.…”

Section: Resultsmentioning

confidence: 99%

A Success Model of E-Health Implementation in the Service Area of Department of Health of Banyumas Regency Indonesia

Nurhayati¹,

P²,

Syafei³

2019

ATMPH

View full text Add to dashboard Cite

Background: It is urgently necessary to measure the success of an information technology system for management to examine its added value to institution. It is necessary to examine the success rate to detect any problems which may disturb service, management and decision making processes at health facilities. The Delone and Mc.Lean method is employed to obtain information of how e-health related to hardware, software, brainware and sociotechnical issues performs.Purpose: Examining the success rate of e-health implementation performs in the service area of department of health of Banyumas Regency Indonesia. Methods: This cross sectional analytical research has 39 public health centers as its sample and employs linear regression and correlation analyses. Results:The results of this research state that there is relationship between information system quality and e-health system use; There is no relationship between information system quality and user satisfaction; There is relationship between information quality and e-health system use; There is relationship between information quality and user satisfaction; There is relationship between service quality and user satisfaction; There is relationship between user satisfaction and e-health system use; There is relationship between system use and Net benefit; There is relationship between user satisfaction and Net benefit; There is relationship between organization and Net benefit. The following line equations are generated: e-health system use = 3.008 + 0.117 (Information system quality) + 0.126 (Information quality) + 0.018 (service quality). E-health system use = 3.843 + 0.273 (user satisfaction). User satisfaction = 6.432 + 0.036 (information system quality) + 0.203 (information quality) + 0.317 (service quality). Net Benefit = 10.349 + 0.842 (e-health system use). Net Benefit = 11.786 + 0.343 (user satisfaction). Conclusion:The determinants success model of e-health implementation of this research are: information system quality, information quality, user satisfaction, system use, and net benefit.

show abstract

Section: Resultsmentioning

confidence: 99%

A Success Model of E-Health Implementation in the Service Area of Department of Health of Banyumas Regency Indonesia

Nurhayati¹,

P²,

Syafei³

2019

ATMPH

View full text Add to dashboard Cite

show abstract

“…Cronbach's α coefficients for the measurement were more than the suitable cut-off value of 0.7 [72,73], signifying internal consistency reliability. Convergent validity was studied with composite reliability and average variance extracted (AVE) and all of the values for composite reliability outdid the suggested threshold of 0.7 [73] with the smallest AVE being 0.64, which is greater than the cut-off of 0.5 [2,74]. Moreover, we calculated the square root of the AVE for each construct.…”

Section: Dependability and Authenticity Of The Survey Instrumentmentioning

confidence: 99%

Enhancing User Experiences with Cloud Computing via Improving Utilitarian and Hedonic Factors

et al. 2021

View full text Add to dashboard Cite

This study provides insights into the initial and post-adoption of cloud computing services by integrating information technology adoption, social influence, trust, security, and information systems quality theories. Social influence, hedonicity, and automaticity are hedonic predictors of user satisfaction with cloud computing services. Perceived risks, trust in the provider, and system quality are utilitarian predictors of user satisfaction with cloud computing services. The Partial Least Squares (PLS) was employed to test eight hypotheses on the causal relationships between the variables. Six out of eight hypotheses were supported. Hedonic factors appear to have more influence than the utilitarian factor of increasing user satisfaction with cloud computing services in the school setting. The findings lead to both theoretical and practical implications for improving the initial and post-adoption of cloud computing services.

show abstract

“…influence and satisfaction (Hsu, Chen, and Weng, 2009), and many other topics involved in decision making and marketing strategies. The model involves five stages: (1) Problem-recognition, (2) search for information, (3) alternatives evaluation, (4) choice, and (5) outcomes.…”

Section: Introductionmentioning

confidence: 99%

Reviewing a Consumer Decision Making Model in Online Purchasing: An ex-post-fact Study with a Colombian Sample

Gómez-Díaz

2016

Av. Psicol. Latinoam.

View full text Add to dashboard Cite

A review of making purchase decisions through internet was retrospectively reviewed (ex-post-fact) with a sample of 340 people who had (n=187) and who had not purchased online (n=153). The questionnaire that was used includes statement for each of the stages involved in the choice (problem identification, information search, alternatives evaluation, and purchase behavior). Some scales were designed while some others were adapted from the available research literature. Results shows that, through internet, it is more common to perform unplanned purchase, and the information available on the network usually has a significant value in online decision-making. Online purchasers and not purchasers differ on risk perception. Some recommendations to design web pages for commercial use are suggested, and discussion about the evolution of online shopping in Colombia is presented.

show abstract

Measuring social influence, user perception, innovation attributes and user satisfaction in the enterprise resource planning context

Cited by 7 publications

References 53 publications

A Success Model of E-Health Implementation in the Service Area of Department of Health of Banyumas Regency Indonesia

A Success Model of E-Health Implementation in the Service Area of Department of Health of Banyumas Regency Indonesia

Enhancing User Experiences with Cloud Computing via Improving Utilitarian and Hedonic Factors

Reviewing a Consumer Decision Making Model in Online Purchasing: An ex-post-fact Study with a Colombian Sample

Contact Info

Product

Resources

About