Technology-enabled cure and care: An application of innovation resistance theory to telemedicine apps in an emerging market context

Kautish, Pradeep; Siddiqui, Mujahid; Siddiqui, Aaliyah; Sharma, Veenu; Alshibani, Safiya Mukhtar

doi:10.1016/j.techfore.2023.122558

Cited by 11 publications

(11 citation statements)

References 120 publications

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“…Moreover, according to the path coefficients of the findings, we found that functional barriers of health chatbots have a greater positive impact on people’s resistance intention and behavior than psychological barriers. This conclusion is similar to that of prior studies, such as Kautish et al (2023) , who found that functional barriers to telemedicine apps play a more predictable role in users’ purchase resistance intentions. Furthermore, Our results demonstrate that people’s negative prototype perception regarding health chatbots, such as their being “dangerous” and “untrustworthy,” significantly influence their resistance intention, resistance willingness, and resistance behavioral tendency.…”

Section: Discussionsupporting

confidence: 90%

Unpacking public resistance to health Chatbots: a parallel mediation analysis

Zou,

Na,

Lai

et al. 2024

Front. Psychol.

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IntroductionDespite the numerous potential benefits of health chatbots for personal health management, a substantial proportion of people oppose the use of such software applications. Building on the innovation resistance theory (IRT) and the prototype willingness model (PWM), this study investigated the functional barriers, psychological barriers, and negative prototype perception antecedents of individuals’ resistance to health chatbots, as well as the rational and irrational psychological mechanisms underlying their linkages.MethodsData from 398 participants were used to construct a partial least squares structural equation model (PLS-SEM).ResultsResistance intention mediated the relationship between functional barriers, psychological barriers, and resistance behavioral tendency, respectively. Furthermore, The relationship between negative prototype perceptions and resistance behavioral tendency was mediated by resistance intention and resistance willingness. Moreover, negative prototype perceptions were a more effective predictor of resistance behavioral tendency through resistance willingness than functional and psychological barriers.DiscussionBy investigating the role of irrational factors in health chatbot resistance, this study expands the scope of the IRT to explain the psychological mechanisms underlying individuals’ resistance to health chatbots. Interventions to address people’s resistance to health chatbots are discussed.

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Section: Discussionsupporting

confidence: 90%

Unpacking public resistance to health Chatbots: a parallel mediation analysis

Zou,

Na,

Lai

et al. 2024

Front. Psychol.

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“…Against the backdrop of this digital wave, Telemedicine Apps (TA)are increasingly gaining prominence as a significant innovation in the healthcare sector ( 6 , 7 ). TA is a category of healthcare software applications that utilize digital communication technology to provide remote medical services to both patients and healthcare professionals ( 6 , 8 ).…”

Section: Introductionmentioning

confidence: 99%

“…These apps offer several significant advantages and can have a positive impact on society. Firstly, TA leverage mobile devices and internet connectivity to deliver convenient healthcare services and health management, addressing the imbalance of medical resources ( 7 , 9 ). Secondly, these apps enable patients to access medical consultations and treatment anytime and anywhere, greatly enhancing the accessibility of healthcare services, especially for those living in remote areas or with limited mobility ( 10 , 11 ).…”

Section: Introductionmentioning

confidence: 99%

“…However, like any innovation, the widespread adoption and application of TA also face a variety of issues and challenges. These issues and challenges may impact the extent to which the public embraces them, including but not limited to concerns regarding data security and privacy ( 15 – 17 ), technological barriers stemming from the digital divide ( 16 , 18 , 19 ), medical liability and legal issues ( 16 , 20 , 21 ), as well as concerns about service quality and accuracy ( 7 , 22 ).…”

Section: Introductionmentioning

confidence: 99%

“…For example, a recent study explored the application of the Technology Acceptance Model (TAM) in TA during the COVID-19 pandemic, emphasizing the impact of external factors such as privacy concerns and trust on the relationship between perceived usefulness and perceived ease of use ( 26 ). Another study, in the context of emerging markets, utilized the Innovation Resistance Theory to investigate barriers to adoption and intentions to continue using TA ( 7 ). Furthermore, there is currently insufficient research in the academic community that focuses on exploring the perceived value of TA among the public.…”

Section: Introductionmentioning

confidence: 99%

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The determinants of public acceptance of telemedicine apps: an innovation diffusion perspective

Liu,

Son,

Cao

2023

Front. Public Health

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With the rapid advancement of information technology, telemedicine apps have gradually become an indispensable tool for providing patients with more convenient, efficient, and accessible healthcare services. However, the successful implementation of these apps largely depends on widespread acceptance among the public. To thoroughly investigate the factors influencing the public’s acceptance of these apps and the relationships between these factors, this study developed a theoretical model based on the Diffusion of Innovation theory and the Theory of Perceived Value. To validate this model, we conducted a survey of 387 residents in Beijing, China, and employed structural equation modeling to analyze the collected data. The research findings indicate that attributes of innovation diffusion, including relative advantage, compatibility, complexity, trialability, and observability, significantly and positively influence the public’s perceived value. Particularly noteworthy is that perceived value partially mediates the relationship between innovation attributes and public acceptance, emphasizing the crucial role of perceived value in the public decision-making process. This study employed a theory-driven approach to elucidate the acceptance of telemedicine apps and offers fresh insights into the existing literature. By integrating the research paradigms of innovation diffusion and customer perceived value, we provide a coherent explanation of how individual cognitive processes lead to acceptance behavior. In summary, this research enriches the existing theoretical studies on the acceptance of telemedicine apps and holds positive implications for healthcare practice.

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