An Empirical Investigation into the Utilization-Based Information Technology Success Model: Integrating Task–Performance and Social Influence Perspective

2007 ◽  
Vol 22 (2) ◽  
pp. 152-160 ◽  
Author(s):  
Changki Kim ◽  
Jungjoo Jahng ◽  
Jinjoo Lee
Keyword(s):  
Information Technology ◽  
Social Influence ◽  
User Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Performance Expectancy ◽  
Success Model ◽  
It Acceptance ◽  
It Success

This paper develops the utilization-based information technology (IT) success model by integrating key variables from IT acceptance and IT success literatures, and empirically validates it. The model shows relations among IT utilization, performance expectancy, social influence, and user satisfaction. A field study was undertaken to evaluate and test the relationships via structural equation modeling using LISREL. The path from performance expectancy and user satisfaction to IT utilization was positive and significant. While the path from implicit social influence to IT utilization was found to be significant, explicit social influence had no significant influence on users’ IT utilization. Implications and future research directions are drawn.

scholarly journals FACTORS INFLUENCING REPURCHASE INTENTION IN ONLINE SHOPPING CONTEXT: THE MEDIATING ROLE OF SATISFACTION

2018 ◽  
Vol 2 (1) ◽  
pp. 29-43
Author(s):  
Xin Jean Lim ◽  
Eugene Cheng-Xi Aw ◽  
Kenny Guan-Cheng Teoh
Keyword(s):  
Structural Equation ◽  
Online Shopping ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Research ◽  
Repurchase Intention ◽  
Performance Expectancy ◽  
Factors Influencing ◽  
Effort Expectancy

This study investigates the factors influencing repurchase intention in online shopping context.Self-efficacy and trust were integrated with Unified Theory of Acceptance and Use of Technology (UTAUT) components, namely performance expectancy and effort expectancy in explaining online repurchase intention. It was hypothesized that performance expectancy, effort expectancy, self-efficacy, and trust influence satisfaction and online repurchase intention. Satisfaction was posited to mediate the relationships between the proposed antecedents and online repurchase intention. 211 use able responses were collected through purposive sampling method and the data was analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM). All proposed hypotheses were supported except the effects of effort expectancy and performance expectancy on online repurchase intention. All mediating effects of satisfaction proposed were found to be significant. Based on the findings, implications and future research directions were discussed.

The Role of Usability in E-Commerce Services

2012 ◽  
Vol 8 (4) ◽  
pp. 57-76 ◽  
Author(s):  
Udo Konradt ◽  
Gunther Held ◽  
Timo Christophersen ◽  
Friedemann W. Nerdinger
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Intention To Use ◽  
Product Involvement ◽  
Behavioral Variables ◽  
Perceived Usability ◽  
The Impact

The authors examined the impact of perceived usability of websites of commercial service vendors on consumer’s affective, intentional, and behavioral variables. Reflective and formative usability measures were used within a nomological network of predictors (trust, reputation, and perceived fun), mediators (user satisfaction, and intention to use), decision to choose as the criteria, product involvement as a moderator, and controls. Results from structural equation modeling revealed that usability holds both direct and indirect paths, via trust and perceived fun, to user satisfaction. User satisfaction was positively related to the intention to use and partially mediated the relation between usability and intention to use. Furthermore, product involvement does not moderate the relation between usability and intention to use and the relation between user satisfaction and intention to use. Finally, intention to use provided an excellent prediction of the decision to choose. Limitations and suggestions for future research are discussed.

scholarly journals Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

Information ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 33 ◽  
Author(s):  
Yanxia Cheng ◽  
Saurabh Sharma ◽  
Prashant Sharma ◽  
KMMCB Kulathunga
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Quantitative Methods ◽  
Moderating Effect ◽  
Sample Survey ◽  
Equation Modeling ◽  
Future Research ◽  
Performance Expectancy ◽  
Continuous Use

The aim of this study was to empirically examine the extended unified theory of acceptance and use of technology 2 (UTAUT2) model by adding “personalization” as one of the antecedents, as well as a moderator to determine the key factors for the continuous use intention of mobile news applications (apps). For this study, an online and manual sample survey of 309 respondents, who had used the news app earlier, was collected and analyzed, using quantitative methods such as explanatory and confirmatory factor analysis, structural equation modeling, and Hayes process for finding moderating effects among variables. The findings of the direct effect demonstrated that performance expectancy (PE) has the most influential effect on continuous use intention, followed by habit (HT), hedonic motivation (HM), and facilitating conditions (FC). Furthermore, the outcome of tests for the moderating effect of personalization between UTAUT2 constructs and continuous use intention (CUI) showed that personalization has a significant moderating effect on performance expectancy and habit. Therefore, this research establishes the key role of PE, HT, HM, and FC as main factors that trigger the users’ continuous use intention of news apps and provides an integrated framework to assess the moderating effect of personalization on technology acceptance. The findings of the research expand the existing literature on news applications and provide foundation for future research studies in the area of mobile news apps.

scholarly journals Toward an Understanding of University Students’ Continued Intention to Use MOOCs: When UTAUT Model Meets TTF Model

SAGE Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 215824402094185
Author(s):  
Liyong Wan ◽  
Shoumei Xie ◽  
Ai Shu
Keyword(s):  
University Students ◽  
User Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
Utaut Model ◽  
Mediating Role ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task–technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students’ continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464 respondents, structural equation modeling is adopted to assess the model. The results reveal that performance expectancy, effort expectancy, social influence, and user satisfaction are the crucial predictors of university students’ continued intention. TTF has an indirect influence on continued intention through user satisfaction. Performance expectancy is affected both by effort expectancy and TTF. Facilitating conditions do not directly influence continued intention; however, they present indirect influences in that they play a mediating role for user satisfaction. The findings help researchers and practitioners to attain a better understanding of university students’ continued usage intention of MOOCs. The implications and limitations of this study are also described.

scholarly journals Analisis Behavioral Intention Pada Layanan Aplikasi RCTI+

2020 ◽  
Vol 4 (5) ◽  
pp. 199
Author(s):  
Anggit Mardiana Permatasari ◽  
Hetty Karunia Tunjungsari
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Negative Influence ◽  
Equation Modeling ◽  
Moderator Variable ◽  
Performance Expectancy ◽  
Digital Era ◽  
Effort Expectancy ◽  
Facilitating Conditions

The current era is called the information age, where humans really need information. The existence of the internet on smartphones makes it easier for humans to get information and enjoy content wherever and whenever. One of the content services in Indonesia is the MNC Group's RCTI + application. Although RCTI + is a new company, RCTI + has an active number of users of 302,569 until November 2019. RCTI + has a fairly high market share because the digital era is growing rapidly. This study measures the interest of users of RCTI + applications in Indonesia by using a modified UTAUT2 research model, where researchers analyze the variables Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Habit, and Content on Behavioral Intention. The data used in this study were 89 valid respondents obtained online using a questionnaire. Respondents are users of the RCTI + application. Researchers used Structural Equation Modeling (SEM) with SmartPLS software version 3.0 to test hypotheses. The results showed that Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Habit and Content had an influence on Behavioral Intention. However, Hedonic Motivations has a negative influence on Behavioral Intention. The Age variable as a moderator variable influences Content on Behavioral Intention, while Gender has no effect. This study resulted in an R2 of 0,900 and included in the moderate category. This research, has found that the variable that most influences Behavioral Intention is Habit.

Factors Affecting Wearable ECG Device Adoption by General Practitioners for Atrial Fibrillation Screening: Cross-Sectional Study (Preprint)

2021 ◽  
Author(s):  
YI Yao ◽  
Zhichao Li ◽  
Yi He ◽  
Yalin Zhang ◽  
Zhaoxia Guo ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Social Influence ◽  
General Practitioners ◽  
Structural Equation ◽  
Online Survey ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Price Perception ◽  
Performance Expectancy

BACKGROUND Atrial fibrillation (AF) is a challenging cardiovascular disease worldwide. Wearable electrocardiograph devices (WEDs) have great potential to improve the detection rate of AF in primary care. However, the factors that influence general practitioners’ (GPs) perception and acceptance of WEDs are not well understood. These factors are very important for the usability of WEDs. OBJECTIVE To identify factors that influence the intention of GPs to utilize WEDs in a clinical setting to screen patients for AF. METHODS The research hypotheses and questionnaire items were designed and developed based on the extended unified theory of acceptance and technology (UTAUT) framework. We used stratified random sampling and obtained the data through an online survey. Structural equation modeling was used to analyze the collected data. RESULTS A total of 1004 valid questionnaires from GPs across Sichuan province in China were collected. Three factors increased GPs' intention to utilize WEDs to screen patients for AF, including performance expectancy (β=0.121, P=0.004), social influence (β=0.356, P<0.001), and price perception (β=0.587, P<0.001). Perception risk (β=-0.059, P<0.001) decreased usage intention, while effort expectancy (β=-0.079, P=0.155) and facilitating conditions (β=-0.014, P=0.868) did not affect usage intention. Gender (β=-0.022, P=0.179), age (β=0.006, P=0.699), education level (β=-0.22, P=0.184) and training (β=0.007, P=0.69) were not significantly correlated with usage intention, and these four factors had no moderating effect on the path coefficients. CONCLUSIONS GPs’ intention to utilize WEDs is affected by performance expectancy, price perception, perception risk and social influence. Health information technology companies should improve the usability and perception of WEDs for screening and carry out studies to provide evidence for the security of wearable devices. They should also focus on social influence and provide the devices at a reasonable price. CLINICALTRIAL This study is registered at www.chictr.org.cn (Identifier: CHiCTR1900021246).

Mengukur kesuksesan website Rumah Sakit Darmo Surabaya menggunakan model Delone dan Mclean

Teknologi ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 26-33
Author(s):  
Anita Wulansari ◽  
◽  
Juniar Sandra Prapanca ◽  
Immah Inayati ◽  
◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
User Satisfaction ◽  
Structural Equation ◽  
Sem Analysis ◽  
Equation Modeling ◽  
System Quality ◽  
Delone And Mclean ◽  
Success Model ◽  
Net Benefits ◽  
Measuring Tool

Websites is important for services industries, such as hopitals, because it help to deliver the information of services provided by the hospitals to their customers. However, Rumah Sakit Darmo Surabaya has not measure the performance of its website yet. Several studies related to measuring the success of information systems in hospitals use the Delone and McLean model as a measuring tool. Those researchs have a vary results. Therefore, the purpose of this study is to assess the performance of the Rumah Sakit Darmo Surabaya website and to understand the factors that influence it by adapting Delone and McLean success model. Respondents of this researh are 130 website visitors. The data obtained through questionnaires were processed using Structural Equation Modeling (SEM) analysis. Out of nine hypotheses proposed, only three can be accepted. This research prove that system quality and service quality affect user satisfaction and that usage affects net benefits.

scholarly journals Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

10.28945/3644 ◽  
2017 ◽  
Vol 12 ◽  
pp. 017-036
Author(s):  
Chien-Ta Ho ◽  
Jhong-Min Yang ◽  
Wei-Ting Chen
Keyword(s):  
Social Influence ◽  
Structural Equation ◽  
Online Survey ◽  
Virtual Communities ◽  
Virtual Community ◽  
Future Research ◽  
Factors Affecting ◽  
Performance Expectancy ◽  
Internet Users ◽  
Confirmatory Factor

Aim/Purpose: This study uses a cosmetic virtual community (VC) as the research context and the UTAUT model as the theoretical structure aim to explore factors affecting the re-usage intentions of VC members. Background: The Internet use rate of VC was up to 50%, thereby implying that VC gained the attention of Internet users. Therefore, operating a VC will be an effective way to communicate with customers. However, to maintain an existing member is more efficient than creating a new one. As such, understanding determinants of VC members’ re-use intentions becomes important for firms. Methodology: Through an online survey, 276 valid responses were gathered. The collected data were examined by performing confirmatory factor analysis, structural equation modelling procedures, as well as the moderator analysis. Contribution: This study shows the importance in the context of online cosmetics-related VC, which was rarely explored before. We provide issues for future research, despite the accumulated academic literature related to UTAUT and VC. Findings: Results show that only performance expectancy and social influence significantly affecting re-usage intentions and only gender has moderating effects on the path from performance expectancy to VC re-use intention and from trust to VC re-use intention. Recommendations for Practitioners : This study found that users emphasized performance expectancy most of all. A cosmetic product-related VC should introduce products abundantly, offer useful information, and help people accomplish tasks quickly and productively. Recommendation for Researchers: Future researchers may use our findings to conduct further positivist research in the area of social influence using different subjects and research contexts.

E-Government Acceptance and Trust

2021 ◽  
Vol 12 (2) ◽  
pp. 1-16
Author(s):  
Rania Fakhoury ◽  
Bilal Chebaro
Keyword(s):  
Structural Equation ◽  
Research Direction ◽  
Equation Modeling ◽  
Future Research ◽  
Performance Expectancy ◽  
Significant Relationships ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Shed Light

Lebanon is a small developing market that is making significant investments in e-government technology. The expectation is that it will improve the quality of life and decrease corruption. The current research is survey-based using a structural equation modeling technique that investigates citizens' behavioral intentions towards using e-services and cross-validates a previous study with a new matching data sample. One hundred six questionnaires were analyzed, and findings showed significant relationships between UTAUT2 constructs (performance expectancy, habit, social influence, price value, and trust in the internet) and intention to use e-government services in Lebanon. The results also shed light on e-government adoption inhibitors (effort expectancy, facilitating conditions, hedonic motivation, and trust in government). Therefore, the findings will be beneficial to the Lebanese government to develop and improve the e-services. Despite achieving its aim, this study has its limitations, which constitute the future research direction.

Effects of trust and perceived risk on user acceptance of a new technology service

2013 ◽  
Vol 41 (4) ◽  
pp. 587-597 ◽  
Author(s):  
Ji-Hwan Lee ◽  
Chi-Hoon Song
Keyword(s):  
Social Influence ◽  
Perceived Risk ◽  
Structural Equation ◽  
New Technology ◽  
Equation Modeling ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
The Republic

We explored the precise impacts of trust and perceived risk on the core constructs of the unified theory of acceptance and use of technology (UTAUT). We applied the UTAUT model to the novel context of the Certified e-Document Authority (CeDA) service used in the Republic of Korea. Our results from structural equation modeling largely supported our hypotheses. Trust and perceived risk were shown to be direct antecedents of intention to use, and trust functioned as an indirect antecedent. Performance expectancy and social influence were shown to positively affect behavioral intention. Effort expectancy was also shown to influence performance expectancy. The combination of trust, perceived risk, performance expectancy, effort expectancy, and social influence accounted for 55.3% of the variance observed in users' intention to use CeDA services.

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