Factors fostering IT acceptance by nurses in Morocco: Short paper

Bennani, Az-Eddine; Oumlil, Rachid

doi:10.1109/rcis.2013.6577708

Cited by 12 publications

(13 citation statements)

References 25 publications

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“…Moreover, the UTAUT and its extensions were widely employed to explore the user's acceptance of several healthcare technologies. This observation is compatible with the conclusions of prior research [28,29]. Additionally, the results showed that the number of…”

Section: Discussionsupporting

confidence: 93%

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Technology Acceptance in Healthcare: A Systematic Review

2021

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Understanding the factors affecting the use of healthcare technologies is a crucial topic that has been extensively studied, specifically during the last decade. These factors were studied using different technology acceptance models and theories. However, a systematic review that offers extensive understanding into what affects healthcare technologies and services and covers distinctive trends in large-scale research remains lacking. Therefore, this review aims to systematically review the articles published on technology acceptance in healthcare. From a yield of 1768 studies collected, 142 empirical studies have met the eligibility criteria and were extensively analyzed. The key findings confirmed that TAM and UTAUT are the most prevailing models in explaining what affects the acceptance of various healthcare technologies through different user groups, settings, and countries. Apart from the core constructs of TAM and UTAUT, the results showed that anxiety, computer self-efficacy, innovativeness, and trust are the most influential factors affecting various healthcare technologies. The results also revealed that Taiwan and the USA are leading the research of technology acceptance in healthcare, with a remarkable increase in studies focusing on telemedicine and electronic medical records solutions. This review is believed to enhance our understanding through a number of theoretical contributions and practical implications by unveiling the full potential of technology acceptance in healthcare and opening the door for further research opportunities.

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Section: Discussionsupporting

confidence: 93%

“…Among the aforementioned theories and models, the UTAUT is known as the most relevant [28] and the most actively used model in technology acceptance studies in the healthcare domain [28,29]. Apart from the healthcare domain, TAM is also recognized as the gold standard model across several technologies [30][31][32].…”

Section: Literature Reviewmentioning

confidence: 99%

Technology Acceptance in Healthcare: A Systematic Review

2021

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“…Facilitating conditions construct of UTAUT model was also proven significant in both voluntary and mandatory settings upon validation test according to Venkatesh, et al (2003). Several studies (Chang et al, 2007;Bennani and Oumlil, 2013;Phichitchaisopa andNaenna, 2013, andTabassum et al 2015) have also produced similar conclusion on the fact that facilitating conditions has a direct influence on actual usage of a technology. In this light, the researcher hypothesizes that facilitating conditions and behavioral intentions positively affects the actual usage of a cashless system.…”

Section: Theoretical Review and Development Of Hypothesesmentioning

confidence: 75%

Ghana’s Road to Cashless Economy: The E-Zwich Experience

Addai

Arthur

2020

RISUS

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In 2008, the Government of Ghana (GoG) through the Bank of Ghana (BoG) and Ghana Interbank Payment and Settlement System (GHIPSS) launched a smart card called e-zwich which formed a central part of the government’s plan to move the country towards a cashless economy. Modernization of the cash sector has remained at best in a confused state since it was launched and at worst an embarrassing drawback. In this article, we employ the Unified Theory of Acceptance and Use of Technology (UTAUT) and the structural equation model to estimate users' behavioral intentions and actual usage of the cashless system. The structural results show that eleven out of the fourteen hypotheses are statistically significant, while the remaining three are statistically insignificant. The results also indicate that performance efficiency, effort efficiency, and social influence significantly influence the behavioral intentions of people to use the cashless system, and the age and gender of users significantly moderate the three constructs. Behavioral intentions and facilitating conditions are also found to influence actual usage of the cashless system significantly. This study fills the gap in the applicability of the UTAUT model in a central cashless system acceptance and usage. The study also provides empirical evidence on how demographic factors such as age, education, and gender moderate the relationships among the major constructs of the UTAUT model. For the first time, we support the empirical findings on the moderating effect of age in the UTAUT model with established economic theory, the life-cycle theory. We have outlined recommendations in detail on some important considerations needed to achieve smart financial economy in Ghana, and such achievement could be emulated by other countries that are yet to implement a central cashless system.

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“…In line with our results, previous research did reveal non-significant effects of ease of use. [59][60][61][62] Dasgupta et al 62 assume that the perception of a particularly intuitive and simple handling system might be the cause that the degree of perceived ease of use did not affect behavioural intention. Arman and Hartati 60 argue that perceived ease of use is not a barrier to the acceptance of innovations for consumers with a high level of experience with electronic devices.…”

Section: Partial Least Squares-structural Equation Modelling Resultsmentioning

confidence: 99%

An empirical analysis of consumer resistance to smart-lighting products

Juric

Lindenmeier

2018

Lighting Research & Technology

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Considering the low market penetration of smart-lighting technology, this study investigates the drivers and consequences of consumer resistance to these innovative lighting products. The paper builds on research on passive and active consumer resistance and on the technology acceptance theory to analyse individuals’ inclination to adopt or reject smart-lighting products. Moreover, the paper evaluates the moderating effects of gender and age. In addition to the influence of passive and active innovation resistance and based on a representative survey of German consumers ( N = 653), the empirical results identify performance expectancy, social pressure and compatibility and health concerns as major determinants of consumer behaviour. Furthermore, the results vary among consumers of different ages and genders. A follow-up study ( N = 115) investigates consumers’ health concerns more deeply. This study provides practical implications and avenues for future research.

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Factors fostering IT acceptance by nurses in Morocco: Short paper

Cited by 12 publications

References 25 publications

Technology Acceptance in Healthcare: A Systematic Review

Technology Acceptance in Healthcare: A Systematic Review

Ghana’s Road to Cashless Economy: The E-Zwich Experience

An empirical analysis of consumer resistance to smart-lighting products

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