Predictors for e-government adoption: integrating TAM, TPB, trust and perceived risk

Xie, Qijun; Song, Wei; Peng, Xiaobao; Shabbir, Muhammad Salman

doi:10.1108/el-08-2015-0141

Cited by 130 publications

(176 citation statements)

References 61 publications

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“…Confirmation of the effects of trust on perceived ease of use, perceived behavioral control, subjective norm, and attitude was achieved, fitting to the relevant research (e.g. [10,82,83,109,110]). The influence of trust on perceived usefulness and adoption intention was not proved, in opposition to other researchers' claims (e.g.…”

Section: Discussionsupporting

confidence: 62%

“…For TPB, trust has been examined as a key antecedent in many previous studies [75,84]. Although most studies have only examined trust as an antecedent of attitude [52,53], there are a few studies [82,110] suggesting that trust affects attitude, perceived behavioral control and subjective norm as well. In fact, high trust can increase the level of attitude, perceived behavioral control and social norm in mobile application context.…”

Section: Trustmentioning

confidence: 99%

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Mobile application user behavior in the developing countries: A survey in Iran

Hajiheydari

Ashkani

2018

Information Systems

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Behavior of technology users is among the major topics Information Systems (IS), which has been widely researched covering a notable number of variables influencing technology acceptance. These influential variables include elements pertaining to information technology (e.g. service quality and output quality), psychology (e.g. technology anxiety and resistance to change), and sociology (e.g. social effects and social states) [115]. Based on various technology acceptance models, different variables may influence the user behavior, such as accepting, using, and recommending the technology. Technology Acceptance Model (TAM) is broadly used in various technological fields [1,104]. In TAM, user perception includes perceived usefulness and perceived ease of use as two key variables for discovering the user behavior. The theoretical framework of this study is based on TPB (Theory of Perceived Behavior), TAM and some other related behavioral and system theories such as IS Success Model and Social Cognitive Theory. Assessment of factors influencing users' behavior would shed light on promotion of mobile applications; subsequently, this research concentrates on the factors that directly or indirectly play roles in predicting their behavior when using mobile applications. Generally, these influential factors are of two types: personal assessment of the effectiveness of the presented behaviors, i.e., response efficacy, and the perceived ability for performing the task, self-efficacy. On the other side, system quality, information quality, and service quality will be considered as independent factors influencing the users' perception. Furthermore, this study intends to propose a comprehensive model for investigating the "adoption intention" of and "intention to recommend" a mobile application by taking into account the following items: attitude, trust, perceived behavioral control, flow and satisfaction. Although there are various related studies on the adoption intention of technologies, this study aims to investigate all potential factors playing role directly or indirectly in the behavior of mobile application users as an instance Mobile application user behavior in the developing countries: A survey in Iran Nastaran Hajiheydari a, b, ⁎

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Section: Discussionsupporting

confidence: 62%

Section: Trustmentioning

confidence: 99%

Mobile application user behavior in the developing countries: A survey in Iran

Hajiheydari

Ashkani

2018

Information Systems

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“…In general, these studies indicate that technology acceptance models perform better than behavioral models when it comes to telemedicine acceptance [14,22,23]. The TPB and the TAM are the two most popular models to explain the use of systems [24][25][26] and, in particular, within the adoption of telemedicine systems, their utilization has been highlighted separately [27][28][29][30][31] or in a complementary way [32]. Previous ideas led us to choose TPB and TAM in the present study as a research framework.…”

Section: Introductionmentioning

confidence: 94%

Telemedicine Acceptance during the COVID-19 Pandemic: An Empirical Example of Robust Consistent Partial Least Squares Path Modeling

et al. 2020

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The explanation of behaviors concerning telemedicine acceptance is an evolving area of study. This topic is currently more critical than ever, given that the COVID-19 pandemic is making resources scarcer within the health industry. The objective of this study is to determine which model, the Theory of Planned Behavior or the Technology Acceptance Model, provides greater explanatory power for the adoption of telemedicine addressing outlier-associated bias. We carried out an online survey of patients. The data obtained through the survey were analyzed using both consistent partial least squares path modeling (PLSc) and robust PLSc. The latter used a robust estimator designed for elliptically symmetric unimodal distribution. Both estimation techniques led to similar results, without inconsistencies in interpretation. In short, the results indicate that the Theory of Planned Behavior Model provides a significant explanatory power. Furthermore, the findings show that attitude has the most substantial direct effect on behavioral intention to use telemedicine systems.

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“…fundamental strength. TAM has been empirically verified as an instrument for predicting technology use (Szajna 1996;Howell 2016;Larasati and Santosa 2017;Xie et al 2017;Verma and Sinha 2018) and emerged as the dominant model in the literature (Davis 1993;Szajna 1994;Venkatesh 2000;Venkatesh and Davis 2000).…”

Section: Apte and Petrovsky (2016)mentioning

confidence: 99%

“…Under this organisation, the control aspect of the observation is introduced into the model making the TPB more functional in its application. It is observed that TPB is widely used to model the acceptance of a variety of new information technology products and also to predict levels of usage (Pattansheti et al 2016;Issa and Hamm 2017;Xie et al 2017;Ma et al 2018).…”

Section: Theory Of Planned Behaviour (Tpb)mentioning

confidence: 99%

Understanding the Blockchain technology adoption in supply chains-Indian context

Kamble

Gunasekaran

Arha

2018

International Journal of Production Research

681

457

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Blockchain technology (BT) is expected to bring a revolutionary paradigm shift in the manner the transactions are carried in the supply chains. BT provides better visibility and transparency by removing the disadvantages of trust related issues in a supply chain. In this paper, we advance the literature on BT and its adoption in the supply chain by developing, and statistically validating a model for understanding the user perceptions on BT adoption. The model is based on the integration of three adoption theories-technology acceptance model (TAM), technology readiness index (TRI) and the theory of planned behaviour (TPB). Based on a survey of 181 supply chain practitioners in India the proposed model was tested using structural equation modelling. The study found that the TRI constructs-Insecurity and discomfort have an insignificant effect on the perceived ease of use and usefulness. Perceived usefulness, attitude, and perceived behavioural control affect the behavioural intention. Subjective norm has a negligible impact on behavioural intention. This is one of the preliminary studies on BT adoption in supply chain and the findings imply that the supply chain practitioners perceive BT adoption free of efforts and would help them to derive maximum benefits for improving the supply chain effectiveness.

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Predictors for e-government adoption: integrating TAM, TPB, trust and perceived risk

Cited by 130 publications

References 61 publications

Mobile application user behavior in the developing countries: A survey in Iran

Mobile application user behavior in the developing countries: A survey in Iran

Telemedicine Acceptance during the COVID-19 Pandemic: An Empirical Example of Robust Consistent Partial Least Squares Path Modeling

Understanding the Blockchain technology adoption in supply chains-Indian context

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