The hidden power of emotions: How psychological factors influence skill development in smart technology adoption

Gerli, Paolo; Clément, Jessica; Esposito, Giovanni; Mora, Luca; Crutzen, Nathalie

doi:10.1016/j.techfore.2022.121721

Cited by 35 publications

(19 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Fan et al (2020) stated that perceived trust positively correlated with the adoption of AI-based medical diagnosis support system (AIMDSS) by healthcare professionals [ 27 ]. Furthermore, a Chinese study established that initial trust in an AI-assisted diagnosis system affects doctors’ adoption intention [ 37 ].…”

Section: Theoretical Background and Research Hypothesesmentioning

confidence: 99%

“…The current research on healthcare workers’ adoption intention is primarily based on a single technology-adoption theory (e.g., technology-acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT)) [ 34 , 35 ], which explored the impact of AI technical characteristics [ 27 ], individual psychological cognition [ 26 , 28 , 29 ], and social norms [ 25 , 31 , 32 ] on healthcare workers’ intention to adopt AI technology. Of these, expectancy includes performance expectancy and effort expectancy, which are psychological cognitive factors that affect technology adoption [ 34 , 35 , 36 , 37 ]. Performance expectancy signifies the degree to which an individual believes that adopting new technology could improve his/her work performance and is an individual perception of the practicality of new technology [ 34 , 35 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust

Cheng

2022

IJERPH

View full text Add to dashboard Cite

Artificial intelligence (AI)-assisted diagnosis and treatment could expand the medical scenarios and augment work efficiency and accuracy. However, factors influencing healthcare workers’ adoption intention of AI-assisted diagnosis and treatment are not well-understood. This study conducted a cross-sectional study of 343 dental healthcare workers from tertiary hospitals and secondary hospitals in Anhui Province. The obtained data were analyzed using structural equation modeling. The results showed that performance expectancy and effort expectancy were both positively related to healthcare workers’ adoption intention of AI-assisted diagnosis and treatment. Social influence and human–computer trust, respectively, mediated the relationship between expectancy (performance expectancy and effort expectancy) and healthcare workers’ adoption intention of AI-assisted diagnosis and treatment. Furthermore, social influence and human–computer trust played a chain mediation role between expectancy and healthcare workers’ adoption intention of AI-assisted diagnosis and treatment. Our study provided novel insights into the path mechanism of healthcare workers’ adoption intention of AI-assisted diagnosis and treatment.

show abstract

Section: Theoretical Background and Research Hypothesesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust

Cheng

2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Increase awareness-Individuals can raise awareness about smart technology's potential benefits and risks by sharing information with friends, family and colleagues. Individuals play a crucial role in promoting awareness about smart technology's potential benefits and risks [74] . By sharing information with friends, family and colleagues, individuals can help spread the word about the latest developments in smart technology and its impact on various aspects of our lives.…”

Section: Individualsmentioning

confidence: 99%

“…This awareness will allow individuals to make informed decisions regarding the technology they use and its impact on their daily lives. Individuals must proactively seek information and stay up-to-date with the latest developments in smart technology [74] . By doing so, they can make informed choices about how they use and interact with technology, ensuring they maximise its benefits while minimising potential negative impacts.…”

Section: Individualsmentioning

confidence: 99%

“…Adopt smart technology-Individuals can adopt smart technologies in their personal and professional lives to gain first-hand experience and help drive the development of the technology [74] . Individual adoption of smart technology has become increasingly important as the technology continues to evolve and become more integrated into daily life.…”

Section: Individualsmentioning

confidence: 99%

See 1 more Smart Citation

Smart technology: Ecosystem, impacts, challenges and the path forward

Katuk,

Wan Abdullah,

Sugiharto

et al. 2023

Infor. Syst. Smart. City

View full text Add to dashboard Cite

Smart technologies have become increasingly integral to modern society, bringing many benefits and opportunities. However, they also raise important questions about their impacts on individuals, organisations, and society and how everyone can move forward smoothly in integrating and adopting technology. Therefore, this study analysed and reviewed the literature to address the questions. The study provides an overview of the potential benefits and challenges of smart technologies and applications, including artificial intelligence, machine learning, natural language processing, robotics, and the Internet of Things. The review also explores the key entities involved in a smart technology ecosystem, including governments, businesses, and international communities, and each entity’s unique role in developing and implementing smart technologies. Additionally, the review highlights the importance of ensuring a smooth transition to smart technologies, including the need for effective policies, regulations, and ethical considerations. The key takeaways from this review are the need to balance the benefits and opportunities of smart technologies with the challenges and risks they pose. Individuals, society, businesses and governments must play their respective roles in ensuring that smart technologies are developed, implemented, and used in ways that are responsible, ethical, and sustainable.

show abstract

Assessing the Factors Influencing the Adoption of Generative Artificial Intelligence (GenAI) in the Manufacturing Sector

Rath,

Tripathy,

Jain

2023

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

The hidden power of emotions: How psychological factors influence skill development in smart technology adoption

Cited by 35 publications

References 62 publications

Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust

Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust

Smart technology: Ecosystem, impacts, challenges and the path forward

Assessing the Factors Influencing the Adoption of Generative Artificial Intelligence (GenAI) in the Manufacturing Sector

Contact Info

Product

Resources

About