The Impact of Perceived Privacy, Accuracy and Security on the Adoption of Mobile Self-Checkout Systems

Johnson, Vess; Woolridge, Richard W.; Wang, Wenjun; Bell, James B.

doi:10.3917/jie.pr1.0065

Cited by 19 publications

(13 citation statements)

References 66 publications

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“…In our model, perceived security does not have a statistically significant effect on the intention to adopt, and therefore, H16 was rejected. In contrast with previous research findings from Johnson et al [ 99 ] and Oliveira et al [ 53 ], a significant effect of perceived security on the intention to adopt was found. Some studies suggest that mobile payments are safer than traditional payment methods [ 100 ], but many consumers still consider them less secure.…”

Section: Discussioncontrasting

confidence: 99%

Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers

Octavius

Antonio

2021

International Journal of Telemedicine and Applications

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Introduction. Mobile health (mHealth) applications gain popularity due to the increasing number of mobile phone usage and internet penetration, which might help some of Indonesia’s medical issues. However, the uptake of mHealth applications is still low in Indonesia. This study is aimed at understanding the factors that drive individuals to adopt mHealth applications and their impact on the intention to recommend. Methods. We applied a new model that combines three different theories with some other constructs: an extended unified theory of acceptance and use of technology, diffusion of innovation, and the internet customer trust model. The study used a cross-sectional study design with partial least squares causal modeling approach. Results. There are 787 respondents in our study, with the majority of them being female, young adults. Our model could explain 53.2% of the variance of intention to adopt while explaining 48.3% of the variance of intention to recommend. Initial trust in mHealth platform ( β = 0.373 , p = < 0.001 ), facilitating conditions ( β = 0.131 , p = < 0.01 ), and performance expectancy ( β = 0.099 , p = < 0.05 ) are the top three most important drivers of intention to adopt mHealth applications. Lastly, importance-performance map analysis (IPMA) showed that the mHealth application’s initial trust is the most important construct with a high-performance score. Discussion. Mobile health developers and managers need to improve initial trust in the mHealth platform, facilitating conditions, and performance expectancy when developing the applications. With a medium Q 2 predict , these factors can be applied out of the research context with medium predictive power.

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Section: Discussioncontrasting

confidence: 99%

Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers

Octavius

Antonio

2021

International Journal of Telemedicine and Applications

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“…Privacy is critical for the individual's perception of the protection of their personal information (Johnson et al, 2020). In the study of Sepasgozar et al (2018), it is found that privacy affected the observation of IoT.…”

Section: Privacy and Adoption Of Iotmentioning

confidence: 99%

Adoption of IoT by telecommunication companies in GCC: The role of blockchain

Alarefi¹

2023

10.5267/j.dsl

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The Internet of Things (IoT) has become essential for business. The adoption rate of IoT has dropped recently and this could be due to security, privacy, and trust issues. Blockchain (BC) has the potential to mitigate the risk of security, privacy, and trust. However, few studies examined the integration between IoT and BC in the context of developing countries. The purpose of this study is to examine the predictors of IoT adoption by telecommunication companies in the Gulf Cooperation Council (GCC). In addition, the study aims to examine the moderating role of BC as well as the effect of using IoT and BC on the competitive advantage of companies. Based on technology acceptance model, social exchange theory, and resource-based view, the study proposed that security, privacy, trust, communication quality, perceived ease of use (PEOU), and perceived usefulness (PU) affect positively the adoption of IoT. BC is proposed as a moderating variable and expected with IoT to affect the competitive advantage of companies. The population includes all the telecommunication companies in GCC. Data was collected using purposive sampling from IT professionals. The results of data analysis using SmartPLS showed that security, privacy, trust, PU, and PEOU positively affected the adoption of IoT. BC and IoT adoption have a positive effect on competitive advantage. Further, BC moderated only the effect of security and privacy on the adoption of IoT. Services providers must enhance the security, privacy, and trust of IoT services by deploying BC technology. Effective integration of IoT and BC will lead to the achievement of competitive advantages.

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“…The SSTs market size was valued at US$ 16,06 billion in 2015 and is forecasted to exceed US$ 42 billion by 2023, at 13.2% compound annual growth rate (CAGR) from 2016 to 2024 (Amone, 2016;Johnson et al, 2020) with an estimated number of 10,000 stores offering fully autonomous check out in 2024 (Statistica, 2021). A market research report published post-Covid19 estimates that the SSTs market will grow by 10.2% during the 2021-2026 period.…”

Section: Introductionmentioning

confidence: 99%

Understanding the implementation of retail self-service check-out technologies using necessary condition analysis

Duarte

Silva

Linardi

et al. 2022

IJRDM

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PurposeSelf-service check-out technologies (SSTs) are becoming a trend across different retail settings, allowing companies to gain efficiency and reduce costs. Nevertheless, the success of SSTs implementation is still subject to challenges and uncertainties. This study aims to provide insights for theory and managers on the necessary conditions for the successful implementation of retail SSTs.Design/methodology/approachBased on an online survey, data from 251 participants were collected to understand the factors predicting SSTs adoption and realise what conditions are mandatory for the adoption. partial Least Squares Structural Equation Modelling (PLS-SEM) and necessary condition analysis (NCA) were used to analyse the data.FindingsAccording to the NCA analysis results, 12 latent variables were relevant for predicting SSTs adoption, but only seven were necessary conditions for user adoption.Originality/valueThe complementarity of perspectives for understanding the adoption of SSTs based on the two data analysis techniques provides novel insights into theory and support for retailers' decision-making on self-service technologies (STTs) implementation.

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The Impact of Perceived Privacy, Accuracy and Security on the Adoption of Mobile Self-Checkout Systems

Cited by 19 publications

References 66 publications

Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers

Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers

Adoption of IoT by telecommunication companies in GCC: The role of blockchain

Understanding the implementation of retail self-service check-out technologies using necessary condition analysis

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