Linking technological functions of fitness mobile apps with continuance usage among Chinese users: Moderating role of exercise self-efficacy

Huang, Guanxiong; Ren, Yuchen

doi:10.1016/j.chb.2019.09.013

Cited by 137 publications

(154 citation statements)

References 77 publications

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“…The analysis indicated that mainly the study population are young subjects between 20 and 29 years old and all are over 18 years old except Lee, Kim and Wang [45] which also included 17-year-old subjects. Li, Liu, Ma and Zhang [46] sampled subjects over 25 years of age, while Huang and Ren [60] and Mohammadi and Isanejad [57] were at least 30 years old. Regarding the type of App evaluated, six studies evaluated the intention to use diet and fitness applications [30,44,51,52,55,59], another five studies evaluated sports information Apps [42,43,53,57,62], two studies measured the intention of fans to use the sports team app [1,45], health and fitness app [56,61], or fitness [58,60] and one study evaluated a social fitness-tracking app [63] and mHealth related to promote physical activity [54].…”

Section: Summary Of Reported Intervention Outcomesmentioning

confidence: 99%

The Intention to Use Fitness and Physical Activity Apps: A Systematic Review

et al. 2020

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Recently the development of new technologies has produced an increase in the number of studies that try to evaluate consumer behavior towards the use of sports applications. The aim of this study is to perform a systematic review of the literature on the intention to use mobile applications (Apps) related to fitness and physical activity by consumers. This systematic review is a critical evaluation of the evidence from quantitative studies in the field of assessment of consumer behavior towards sport applications. A total of 13 studies are analyzed that propose models for evaluating the intentions to use fitness applications by sport consumers. The results revealed several key conclusions: (a) Technology Acceptance Model is the most widely used model; (b) the relationship between perceived utility and future intentions is the most analyzed; and (c) the most evaluated applications are diet/fitness. These findings could help technology managers to know the most important key elements to take into account in the development of future applications in sport organizations.

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Section: Summary Of Reported Intervention Outcomesmentioning

confidence: 99%

The Intention to Use Fitness and Physical Activity Apps: A Systematic Review

et al. 2020

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“…However, there are still important gaps in the study of consumer behaviour with mobile apps; few studies have been carried out specifically into the perceived value of branded mobile apps. Exceptions are the recent works of [6,[8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

The Effects of Mobile Advertising Alerts and Perceived Value on Continuance Intention for Branded Mobile Apps

2020

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This paper examines consumers’ behaviours towards mobile advertising alerts offered by branded mobile apps in the fashion industry. While consumer-driven factors have attracted much attention, little research has examined the impact of data-driven mobile advertising alerts on consumer continuance intention for branded mobile apps. This paper analyses the combined influence of consumer beliefs, data-driven mobile advertising alerts, and perceived value on mobile advertising acceptance, intention to repurchase, and recommendation behaviour towards branded mobile apps on social media. In total, 340 valid responses from Spanish customers of an online fashion outlet, all social media users, who make their purchases from the company exclusively through its branded mobile application, were analysed to test the hypotheses, using structural equation modelling. The results showed that mobile advertising acceptance, intention to repurchase, and recommendation behaviour are driven by the perceived value of the branded mobile app. Perceived value is determined by the usefulness of the branded mobile app, attitudes towards mobile advertising alerts, and irritation. Mobile advertising content (informativeness and credibility) improves attitudes towards mobile advertising alerts. Ease of use increases perceived usefulness, while perceived control decreases irritation. Managerial implications are provided.

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“…The objective of this research was to analyze the influencing factors for user acceptance of a diet mHealth app and investigate and test the importance of external constructs affecting users’ behavioral intention to use. Only a few studies [ 3 , 25 - 27 ] have analyzed end-user perspectives on diet app acceptance in non-European Union countries; this study offers additional insights on mHealth user acceptance in Turkey.…”

Section: Introductionmentioning

confidence: 99%

Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

Akdur¹,

Aydın²,

Akdur³

2020

JMIR Mhealth Uhealth

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Background Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey’s most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users. Objective The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users. Methods We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling. Results Statistical findings suggested that perceived usefulness (P<.001), perceived ease of use (P<.001), trust (P<.001), and price-value (P<.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (P=.99). Additionally, there was no statistical significance for age (P=.09), gender (P=.98), or previous app use experience (P=.14) on the intention to use the app. Conclusions This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform’s dietitians to ensure that users’ interactions with the dietitians are based on trust for the platform and the brand.

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Linking technological functions of fitness mobile apps with continuance usage among Chinese users: Moderating role of exercise self-efficacy

Cited by 137 publications

References 77 publications

The Intention to Use Fitness and Physical Activity Apps: A Systematic Review

The Intention to Use Fitness and Physical Activity Apps: A Systematic Review

The Effects of Mobile Advertising Alerts and Perceived Value on Continuance Intention for Branded Mobile Apps

Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

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