Technology Adoption In Context Research Articles

Privacy Management and Health Information Sharing via Contact Tracing during the COVID-19 Pandemic: A Hypothetical Study on AI-Based Technologies

ABSTRACT In this study, we extended and tested the privacy calculus framework in the context of a hypothetical AI-based contact-tracing technology for application during the COVID-19 pandemic that is based on the communication privacy management and contextual integrity theories. Specifically, we investigated how the perceived privacy risks and benefits of information disclosure affect the public’s willingness to opt in and adopt contact-tracing technologies and how social and contextual factors influence their decision-making process. Four hundred eighteen adults in the United States participated in the study via Amazon Mechanical Turk in August 2020. A percentile bootstrap method with 5,000 resamples and bias-corrected 95% confidence intervals in structural equation modeling was used for data analysis. The participants’ privacy concerns and perceived benefits significantly influenced their opt-in and adoption intentions, which suggests that the privacy calculus framework applies to the context of COVID-19 contact-tracing technologies. Perceived social, personal, and reciprocal benefits were identified as crucial mediators that link contextual variables to both opt-in and adoption intentions. Although this study was based on a hypothetical AI-based contact-tracing app, our findings provide meaningful theoretical and practical implications for future research investigating the public’s technology adoption in contexts where tradeoffs between privacy risks and public health coexist.

Unlocking the smart home: exploring key factors affecting the smart lock adoption intention

PurposeThis study examines the factorial structure of salient user beliefs associated with smart locks. We also examine the predictive value of the identified constructs on the smart lock adoption intention and we evaluate gender differences in the predictive value of the identified constructs.Design/methodology/approachThe study assumes pragmatic epistemological stance and it leverages mixed-methods research design. The research progresses through three stages: belief elicitation, exploratory factor analysis and confirmatory factor analysis within a nomological network. New groups of participants were recruited for each stage of the study.FindingsWe find that while potential adopters express a broad range of perceived benefits and concerns associated with smart locks, only the perceived relative advantage of smart locks vis-à-vis conventional locks in providing safety and security is significantly correlated with adoption intention for both genders. We also find that perceived novel benefits are a significant predictor of the smart lock adoption intention for women, but not for men.Research limitations/implicationsOur results indicate that perceived relative advantage can be the singular critical consideration in the adoption of smart home technologies that replace incumbent solutions. The results also demonstrate that gender-specific models can better capture gender effects that influence technology adoption and use.Practical implicationsSmart home technology vendors would need to convince prospective users that new technology is better than the incumbent solutions on the core affordances of the incumbent technology. Men and women differ in the consideration of novel benefits afforded by novel technologies.Originality/valueThis is among the first studies to examine salient beliefs that affect smart home technology adoption. The findings suggest that the traditional models (TAM, UTAUT) do not capture the key salient beliefs that can influence innovative smart home technology adoption. The study also suggests that gendered models are needed to understand technology adoption in contexts where technology adoption intersects with gender roles.

“We Had a Blast!”

As many important issues pertaining to blended learning within the Sub-Saharan African context remain unexplored, this study implemented a blended learning approach in a graduate level course at a private university in Ghana, with the objective of exploring adult learners' attitudes, experiences and behaviors towards this learning approach, as well as their perceptions towards blended learning in general. Forty-eight graduate students participated in the study as they engaged in a six-week long blended learning course. Qualitative research methods were used to gather data which were analysed using grounded theory coding techniques, descriptive statistics and content analysis. Findings reveal high levels of student engagement and satisfaction with the learning processes, and an overwhelming endorsement of blended learning as a preferred mode of learning. Implications of these findings for further research and practice are discussed within the context of technology adoption and use in the Ghanaian and Sub-Saharan African higher education contexts.