Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory

Açikgöz, Fulya; Elwalda, Abdulaziz; Oliveira, Mauro José de

doi:10.1016/j.jjimei.2022.100152

Cited by 41 publications

(28 citation statements)

References 94 publications

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“…Moreover, the results supported H11 that ATT substantially impacts individuals' BI and is helpful and beneficial to change individuals' intentions (Chatterjee et al, 2021). Substantial literature exhibited a favorable relationship between ATT and BI (Acikgoz et al, 2023). Additionally, the outcomes show that ATT substantially impacts the AU of individuals adopting ChatGPT (H12), coherent with earlier studies (Islam and Khan, 2021).…”

Section: Discussionsupporting

confidence: 78%

“…When the user perceives that the use of ChatGPT does not match their working style, they have a negative ATT toward ChatGPT. Similarly, an insignificant relationship was found between CP and BI of individuals (H2), parallel to the prior study (Acikgoz et al, 2023). This is because when individuals think using ChatGPT requires additional resources, they will likely use something other than ChatGPT for their work.…”

Section: Discussionsupporting

confidence: 55%

“…People are inclined to have a favorable attitude when they perceive that the system is compatible with their way of life. Accordingly, Acikgoz et al (2023) reported that CP significantly impacts the attitude (ATT) and behavioral intention (BI) of individuals. However, Al Breiki et al (2022) reveal that CP insignificantly impacts the ATT of individuals.…”

Section: Hypothesis Formulationmentioning

confidence: 99%

“…Following earlier research, the three-item scale was adopted to access PE (Vimalkumar et al, 2021;Alhwaiti, 2023) and EE (Strzelecki, 2023). PI measurement constructs were accessed through the prior work (Acikgoz et al, 2023) with minor modifications. For measuring individuals' ATT, the three items were adopted from Acikgoz et al (2023).…”

Section: Instrument Development and Pretestingmentioning

confidence: 99%

See 3 more Smart Citations

Human-machine dialogues unveiled: an in-depth exploration of individual attitudes and adoption patterns toward AI-powered ChatGPT systems

Kumar,

Rani,

Rani

et al. 2024

DPRG

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Purpose ChatGPT is an advanced artificial intelligence (AI) form that can generate human-like text based on large amounts of data. This paper aims to empirically examine the ChatGPT adoption level among Indian individuals by considering the key factors in determining individuals’ attitudes and intentions toward newly emerged AI tools. Design/methodology/approach This paper used “partial least square structural equation modeling” (PLS-SEM) to investigate the relation among several latent factors by applying a representative sample of 351 individuals. Findings This study found that trialability, performance expectancy and personal innovativeness significantly influence individuals' attitudes, while compatibility and effort expectancy do not significantly impact attitudes. Additionally, trialability, performance expectancy, effort expectancy, personal innovativeness and attitude significantly influence behavioral intentions. However, compatibility has an insignificant impact on behavioral intention. Moreover, the research highlights that attitude and behavioral intention directly correlate with actual use. Specifically, the absence of compatibility makes people hesitate to use technology that does not meet their specific needs. Practical implications These unique findings provide valuable insights for technology service providers and government entities. They can use this information to shape their policies, deliver timely and relevant updates and enhance their strategies to boost the adoption of ChatGPT. Originality/value This paper is one of the pioneering attempts to exhibit the research stream to understand the individual acceptance of ChatGPT in an emerging country. Moreover, it gained significant attention from individuals for delivering a unique experience and promising solutions.

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Section: Discussionsupporting

confidence: 78%

Section: Discussionsupporting

confidence: 55%

Section: Hypothesis Formulationmentioning

confidence: 99%

Section: Instrument Development and Pretestingmentioning

confidence: 99%

See 2 more Smart Citations

Human-machine dialogues unveiled: an in-depth exploration of individual attitudes and adoption patterns toward AI-powered ChatGPT systems

Kumar,

Rani,

Rani

et al. 2024

DPRG

View full text Add to dashboard Cite

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“…First, as documented in this study, the perceived usefulness of VTO technology positively predicts the behavioral intention of millennials; e-retailers need to make their websites user-friendly. Further, as millennials tend to get glued to social media networking (Grace et al, 2015) and technology-related interactions, e-retailers must equip their websites to attract and retain these customers (Acikgoz et al, 2023). As social media marketing has been effectively used by the e-retailers to attract customers (Shareef, Mukerji, et al, 2019), it is more likely that the effectiveness of VTO technology may be transmitted to the customers.…”

Section: Practical Implicationsmentioning

confidence: 99%

Antecedents of consumers' online apparel purchase intention through Virtual Try On technology: A moderated moderated‐mediation model

Vijayabanu

Rana

Parayitam

2023

J of Consumer Behaviour

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The study aims to empirically examine the consumers' online apparel purchasing behavior using the constructs from the technology acceptance model (UTAUT). The complex interrelationships between perceived usefulness, perceived risk, perceived enjoyment, and virtual try‐on (VTO) technology were explored using a moderated moderated‐mediation model. Most importantly, this research focuses on how VTO, one of the frequently used disruptive technologies, influences consumer behavior. Using a structured survey instrument, the data was collected from 288 millennial respondents and has been analyzed using Hayes's PROCESS macros. The results reveal that attitude towards VTO mediated the relationship between perceived usefulness and behavioral intention of customers to engage in online shopping. Perceived risk (first moderator) negatively moderated the relationship between perceived usefulness and attitude towards VTO, and perceived enjoyment (second moderator) has positively moderated the relationship between perceived usefulness and perceived risk and behavioral intention mediated through attitude towards VTO. The theoretical and practical implications were also discussed.

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Exploring ChatGPT adoption among business and management students through the lens of diffusion of Innovation Theory

Abdalla,

Bhat,

Tiwari

et al. 2024

Computers and Education: Artificial Intelligence

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Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory

Cited by 41 publications

References 94 publications

Human-machine dialogues unveiled: an in-depth exploration of individual attitudes and adoption patterns toward AI-powered ChatGPT systems

Human-machine dialogues unveiled: an in-depth exploration of individual attitudes and adoption patterns toward AI-powered ChatGPT systems

Antecedents of consumers' online apparel purchase intention through Virtual Try On technology: A moderated moderated‐mediation model

Exploring ChatGPT adoption among business and management students through the lens of diffusion of Innovation Theory

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