Applying an Integrative Technology Adoption Paradigm to Health App Adoption and Use

Dam, Linda; Roy, Deya; Atkin, David; Rogers, Dana

doi:10.1080/08838151.2018.1519568

Cited by 27 publications

(18 citation statements)

References 34 publications

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“…Perceived social support has been found to be an important factor associated with exercise participation both among older adults [21] and youth [8]. Moreover, previous research suggests that social functionality in software offers users gratification through being connected with other users [6]. We found further support for this in our own research; in a focus group study, social functionality emerged as highly important for the participants, heightening their motivation to adhere to exercise [25].…”

Section: Introductionsupporting

confidence: 73%

Digital Coaching - An Exploratory Study on Potential Motivators

Mezei¹,

Sell²,

Walden³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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The objective of our study is to explore the importance of different sets of functionalities in a digital coaching system. Digital coaching is defined as systems providing the user with actionable advice and feedback to reach fitness goals. From previous research we identify five sets of functionalities likely to be important in the digital coaching context: mental support, exercise programs, goal setting, feedback and social functionality. We employ Fuzzy-set Qualitative Comparative Analysis to understand users' opinions of digital coaching. Our results highlight the importance of exercise programs and goal setting functionality, whereas feedback and social functionality are surprisingly not so important. Some gender-related differences emerge.

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Section: Introductionsupporting

confidence: 73%

Digital Coaching - An Exploratory Study on Potential Motivators

Mezei¹,

Sell²,

Walden³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Mobile health applications (mHealth apps) are powerful tools for users to keep track of their health such as consumed calories, vital signs and exercise exertions with real-time recording parameters [ 1 ]. Recent years have also seen a growth in both the quality and quantity of mHealth apps, which has extended the capability of effective health communication and public healthcare management [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Health vs. privacy? The risk-risk tradeoff in using COVID-19 contact-tracing apps

Tran

Nguyen

2021

Technology in Society

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In the midst of the COVID-19 pandemic, contact-tracing apps have emerged as reliable tools for public health communication and the promotion of preventative health. However, to function properly, contact-tracing apps require users to provide sensitive information, which has raised concerns about data disclosure, misuse and social surveillance. Little is known about how different types of risk perception simultaneously hinder and motivate individuals' engagement in mobile health apps, particularly in the context of a pandemic. Based on the privacy calculus theory and the risk-risk tradeoff concept, this study examined the risk-risk tradeoff model to enhance the understanding of COVID-19 contact-tracing app users’ decision from the perspective of risk minimization. Findings from PLS-SEM and fsQCA revealed that users engage in health risk-privacy risk tradeoff when evaluating and deciding to use the apps. The focal study therefore contributes to the research on privacy calculus theory and calls for a balanced managerial solution to mitigate this tradeoff dilemma.

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“…Given the social support functions of app use uncovered in past work (e.g., Dam et al, 2018), designers would be wise to consider visually compelling interfaces that enable users to post and react to information posted by users for public comment (per Figure 4). More specifically, the platform should provide users an easy way to congratulate their peers or to share their performance metrics using visually driven data displays.…”

Section: Discussionmentioning

confidence: 99%

“…The present study seeks to understand the role of smartphone exercise app self-efficacy, which is defined as "how much a person believes he or she has the ability to operate the functions of a smartphone exercise app." Dam et al (2018), for instance, found that exercise selfefficacy predicts health app use. One can assume that the self-efficacy dynamics motivating Internet use also obtain for smartphone app adoption.…”

Section: Hey Nice Run!: Exploring Factors Related To Exercise Self-mentioning

confidence: 99%

“…Scholars (e.g., Dam et al, 2018;House, 1981) suggest that informational support (i.e., advice or information that facilitates problem solving or competition) is a form of social support. Walther and Boyd (2002) found informational support to be an important online activity, one made possible by the ability to perceive or provide support anytime.…”

Section: Informational and Emotional Social Supportmentioning

confidence: 99%

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Hey, Nice Run!: Exploring Factors Related to Exercise, Self-Monitoring and Motives for Exercise App Use

Fuller¹,

Atkin

McGloin

et al. 2019

JoCTEC

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The present study tests a multifaceted model that explains exercise app use motives in relation to uses and gratifications as well as emotional and social support factors. A hybrid model based on Uses and Gratifications theory and self-efficacy perspectives was used to examine exercise app use. Gratifications for competition, self-monitoring, and informational and emotional social support were modeled. Structural equation modeling results provide qualified support for a comprehensive path model identifying the role of self-monitoring and personal goal achievement in smartphone exercise app use. The predicted roles for personal goal achievement and exercise app use received support, with personal goal achievement predicting exercise app use. These findings may contribute to the health communication literature through the creation and validation of self-monitoring and exercise app self-efficacy scales.

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Applying an Integrative Technology Adoption Paradigm to Health App Adoption and Use

Cited by 27 publications

References 34 publications

Digital Coaching - An Exploratory Study on Potential Motivators

Digital Coaching - An Exploratory Study on Potential Motivators

Health vs. privacy? The risk-risk tradeoff in using COVID-19 contact-tracing apps

Hey, Nice Run!: Exploring Factors Related to Exercise, Self-Monitoring and Motives for Exercise App Use

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