Really New Services: Perceived Risk and Adoption Intentions

Savas-Hall, Selen; Koku, Paul Sergius; Mangleburg, Tamara F.

doi:10.1080/15332969.2021.1994193

Cited by 7 publications

(10 citation statements)

References 35 publications

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“…Risk perception plays a crucial role in decision-making, including the adoption of novel technologies like ChatGPT [65][66][67][68]. Recent studies highlighted the potential risks associated with ChatGPT risks including performance and privacy concerns [9,41].…”

Section: Xsl • Fomentioning

confidence: 99%

Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study

Sallam¹,

Salim²,

Barakat³

et al. 2023

JMIR Med Educ

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Background ChatGPT is a conversational large language model that has the potential to revolutionize knowledge acquisition. However, the impact of this technology on the quality of education is still unknown considering the risks and concerns surrounding ChatGPT use. Therefore, it is necessary to assess the usability and acceptability of this promising tool. As an innovative technology, the intention to use ChatGPT can be studied in the context of the technology acceptance model (TAM). Objective This study aimed to develop and validate a TAM-based survey instrument called TAME-ChatGPT (Technology Acceptance Model Edited to Assess ChatGPT Adoption) that could be employed to examine the successful integration and use of ChatGPT in health care education. Methods The survey tool was created based on the TAM framework. It comprised 13 items for participants who heard of ChatGPT but did not use it and 23 items for participants who used ChatGPT. Using a convenient sampling approach, the survey link was circulated electronically among university students between February and March 2023. Exploratory factor analysis (EFA) was used to assess the construct validity of the survey instrument. Results The final sample comprised 458 respondents, the majority among them undergraduate students (n=442, 96.5%). Only 109 (23.8%) respondents had heard of ChatGPT prior to participation and only 55 (11.3%) self-reported ChatGPT use before the study. EFA analysis on the attitude and usage scales showed significant Bartlett tests of sphericity scores (P<.001) and adequate Kaiser-Meyer-Olkin measures (0.823 for the attitude scale and 0.702 for the usage scale), confirming the factorability of the correlation matrices. The EFA showed that 3 constructs explained a cumulative total of 69.3% variance in the attitude scale, and these subscales represented perceived risks, attitude to technology/social influence, and anxiety. For the ChatGPT usage scale, EFA showed that 4 constructs explained a cumulative total of 72% variance in the data and comprised the perceived usefulness, perceived risks, perceived ease of use, and behavior/cognitive factors. All the ChatGPT attitude and usage subscales showed good reliability with Cronbach α values >.78 for all the deduced subscales. Conclusions The TAME-ChatGPT demonstrated good reliability, validity, and usefulness in assessing health care students’ attitudes toward ChatGPT. The findings highlighted the importance of considering risk perceptions, usefulness, ease of use, attitudes toward technology, and behavioral factors when adopting ChatGPT as a tool in health care education. This information can aid the stakeholders in creating strategies to support the optimal and ethical use of ChatGPT and to identify the potential challenges hindering its successful implementation. Future research is recommended to guide the effective adoption of ChatGPT in health care education.

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Section: Xsl • Fomentioning

confidence: 99%

Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study

Sallam¹,

Salim²,

Barakat³

et al. 2023

JMIR Med Educ

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“…Supporting this finding, Masoud (2013) also observed no significant impact of social risk on online shopping intentions. However, contrasting results were noted in the studies by Onurlubas and Gumus (2023), Savas-Hall et al (2022), and Xiao et al (2021, which identified a significant relationship between social risk and various purchase intentions. Similarly, Koay et al (2023) found that social risk significantly influenced the purchase intentions of current second-hand clothing customers, but not among non-customers.…”

Section: Resultsmentioning

confidence: 83%

Investigating the Components of Perceived Risk Factors Affecting Mobile Payment Adoption

Bland,

Changchit,

Changchit

et al. 2024

JRFM

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As smartphone ownership rapidly expands, mobile payment options are gaining popularity due to the portability and convenience they offer. This study examines attitudes towards adopting mobile payment, focusing on the component risk, which consists of multiple dimensions including performance, financial, time, psychological, and social risks. The study uses a quantitative approach, collecting data through a survey distributed to mobile payment users, with 361 respondents in the United States. The survey instrument includes measures of performance and psychological risk, as well as attitudes towards mobile payment acceptance. Data analysis using SPSS 25.0 and AMOS 24.0 reveals that both performance and psychological risk significantly negatively impact attitudes towards mobile payment acceptance, underscoring the importance of mobile payment service providers implementing effective risk management policies to improve users’ positive attitudes towards their platforms.

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“…(2021), Bagozzi and Dholakia (2002) and Li and Su (2022). We reviewed the studies by Murray and Schlacter (1990), Featherman and Pavlou (2003), Dholakia (2001), Lim (2003) and Savas-Hall et al . (2022) to assess the perceived risks concerning OTT streaming (see Appendix).…”

Section: Methodsmentioning

confidence: 99%

“…Further, Ackermann et al . (2022) and Savas-Hall et al . (2022) discovered that social, financial, psychological, time and performance risks are potential perceived risks that may impact online purchasing behaviour.…”

Section: Hypothesis Development and Conceptual Frameworkmentioning

confidence: 96%

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Exploring new dimensions in OTT consumption: an empirical study on perceived risks, descriptive norms and goal-directed behaviour

Sahu,

Singh,

Singh

et al. 2024

APJML

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PurposeWith over-the-top (OTT) streaming services rapidly transforming the media industry and saturating the market, the authors' study seeks to enrich the goal-directed behaviour model by exploring how perceived risks and descriptive norms influence OTT consumption.Design/methodology/approachSurvey data from OTT subscribers were collected online to assess their risk behaviours. The 353 responses obtained were analysed with SmartPLS, validating the structural equation modelling (SEM) through structural and measurement model verification.FindingsThe authors' findings illustrate that descriptive norm, perceived behavioural control, as well as positive and negative anticipated emotion (NEM) and attitude, contribute positively to the desire to engage with OTT streaming services. Interestingly, the authors' study contradicts common assumptions, revealing that subjective norms do not significantly impact the propensity to utilise OTT services. This counterintuitive finding necessitates a reconsideration of prevalent theories and contributes to a nuanced understanding of OTT adoption determinants.Research limitations/implicationsThe data gathering for this study were conducted from the perspective of a single nation. Therefore, caution must be exercised when generalising this study's results.Practical implicationsThe practical ramifications of this research are vast, providing OTT service providers and marketers with actionable insights to maximise user engagement and navigate perceived risks related to OTT service adoption and consumption.Originality/valueThis study's exploration of perceived risks and descriptive norms enhances the goal-directed behaviour model's breadth, facilitating a holistic comprehension of the constructs shaping OTT consumption behaviours. It would be the first attempt to combine perceptual, affective and behavioural factors and perceived risks to understand the user's predisposition to engage in OTT streaming services.

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Really New Services: Perceived Risk and Adoption Intentions

Cited by 7 publications

References 35 publications

Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study

Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study

Investigating the Components of Perceived Risk Factors Affecting Mobile Payment Adoption

Exploring new dimensions in OTT consumption: an empirical study on perceived risks, descriptive norms and goal-directed behaviour

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