Site Visits and Innovation Processes: An Experiment

Tornatzky, Louis G.

doi:10.1016/b978-0-08-026303-8.50052-6

Cited by 164 publications

(289 citation statements)

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“…The technology-organization-environment (TOE) framework, which was developed by [ 8 ], is chosen and applied as the framework of this study. [ 1 , 2 ], These studies have demonstrated consistent support for TOE's ability to provide a comprehensive perspective on innovation adoption, while facilitating the flexibility to identify and categorize unique factors that may emerge in particular situations [ 9 ].…”

Section: The Frameworkmentioning

confidence: 99%

Willingness to Adopt Telemedicine in Major Iraqi Hospitals: A Pilot Study

Ghani

Jaber

2015

International Journal of Telemedicine and Applications

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The Iraqi healthcare services are struggling to regain their lost momentum. Many physicians and nurses left Iraq because of the current situation in the country. Despite plans of calling back the skilled health workforce, they are still worried by the disadvantages of their return. Hence, technology plays a central role in taking advantage of their profession through the use of telemedicine. Studying the factors that affect the implementation of telemedicine is necessary. Telemedicine covers network services, policy makers, and patient understanding. A framework that includes the influencing factors in adopting telemedicine in Iraq was developed in this study. A questionnaire was distributed among physicians in Baghdad Medical City to examine the hypothesis on each factor. The Statistical Package for the Social Sciences was utilized to verify the reliability of the questionnaire and Cronbach's alpha test shows that the factors have values more than 0.7, which are standard.

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Section: The Frameworkmentioning

confidence: 99%

Willingness to Adopt Telemedicine in Major Iraqi Hospitals: A Pilot Study

Ghani

Jaber

2015

International Journal of Telemedicine and Applications

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“…The technology-organization-environment (TOE) framework, first introduced by Tornatzky and Fleischer [ 28 ], has been used as a guiding theoretical basis for the adoption of many technologies. This framework integrates the 3 vital contexts—technology, organization, and environment—to provide a holistic understanding of adoption of technology from an organizational perspective.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Determinants of Mobile Health Adoption by Hospitals in China: Empirical Study

Ramdani

Duan²,

Berrou

2020

JMIR Med Inform

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Background Although mobile health (mHealth) has the potential to transform health care by delivering better outcomes at a much lower cost than traditional health care services, little is known about mHealth adoption by hospitals. Objective This study aims to explore the determinants of mHealth adoption by hospitals using the technology-organization-environment (TOE) framework. Methods We conducted an interviewer-administered survey with 87 managers in Chinese public hospitals and analyzed the data using logistic regression. Results The results of our survey indicate that perceived ease of use (β=.692; P<.002), system security (β=.473; P<.05), top management support (β=1.466; P<.002), hospital size (β=1.069; P<.004), and external pressure (β=.703; P<.005) are significantly related to hospitals’ adoption of mHealth. However, information technology infrastructure (β=.574; P<.02), system reliability (β=−1.291; P<.01), and government policy (β=2.010; P<.04) are significant but negatively related to hospitals’ adoption of mHealth. Conclusions We found that TOE model works in the context of mHealth adoption by hospitals. In addition to technological predictors, organizational and environmental predictors are critical for explaining mHealth adoption by Chinese hospitals.

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“…Because of the focus on hospital adoption, this study used the most commonly used framework of Technology, Organizational and Environmental (TOE) established by Tornatzky and Fleischer's [13,15] to investigate the determinants of adoption or non-adoption of m-health by hospitals in Kenya. These constructs have been used in multiple studies with significant degree of reliability and predictability of adoption [16–19].…”

Section: Introductionmentioning

confidence: 99%

The technological, organizational and environmental determinants of adoption of mobile health applications (m-health) by hospitals in Kenya

et al. 2019

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IntroductionSub-Saharan Africa lags in adoption of mobile health (m-health) applications and in leveraging m-health for sustainable development goals. There is a need for a comprehensive investigation of determinants of hospitals’ adoption of m-health in Sub-Saharan Africa to inform policies, practices and investments.MethodsThis investigation used a logit regression model to analyze the determinants of m-health adoption in Kenyan hospitals applying the Technological, Organizational and Environmental (TOE) framework and the Diffusion of Innovation (DOI) theory. A representative sample of 211 executives of Level 4–6 hospitals in 24 counties provided primary data on Patient-Centered (PC) and Facility-Centered (FC) m-health applications.ResultsBoth PC and FC m-health adoption were predicted by competition for patients (PC p = 0.041, FC p = 0.021), IT human resource capacity (PC p = 0.048, FC p = 0.037), and hospital pursuit of market growth through technological leadership (PC p = 0.010, FC p = 0.020). Further determinants of PC m-health adoption included hospital access to slack financial resources (p = 0.006), acquisition strategy (p = 0.011), compatibility with the hospital systems (p = 0.015), trialability (p = 0.019), medical insurance company support (p = 0.025),patient pressure (p = 0.036), and perceived effect of global medical tourism (p = 0.039). FC m-health adoption was predicted by hospital size (p = 0.008), ICT infrastructure capacity (p = 0.041), and government support (p = 0.013).ConclusionA differentiated approach is required to scale up m-health adoption. PC m-health requires emphasis on establishing national and regional compatibility and interoperability, developing trialability processes and validation mechanisms, incentivizing patient competition and mobility, establishing innovative and cost-effective acquisition strategies, and ensuring integration of digital services within national insurance schemes and policies. These policies require support from patients and communities to drive demand and spur investment in adequate IT human resources to maintain reliability. Pilot PC m-health projects should prioritize hospitals with slack financial resources, while FC m-health should target large facility size. FC m-health applications are more complex and costly than PC, requiring government incentives to trigger hospital investments and national investment in ICT infrastructure. Investors and hospital managers should integrate m-health into market growth strategies for sustainable m-health scale-up in Kenya and beyond.

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Site Visits and Innovation Processes: An Experiment

Cited by 164 publications

References 0 publications

Willingness to Adopt Telemedicine in Major Iraqi Hospitals: A Pilot Study

Willingness to Adopt Telemedicine in Major Iraqi Hospitals: A Pilot Study

Exploring the Determinants of Mobile Health Adoption by Hospitals in China: Empirical Study

The technological, organizational and environmental determinants of adoption of mobile health applications (m-health) by hospitals in Kenya

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