Identification of Factor Affecting Continuance Usage Intention of mHealth Application : A Systematic Literature Review

Khalil, Aulia-Absari; Meyliana, Meyliana; Hidayanto, Achmad Nizar; Prabowo, Harjanto

doi:10.1109/icicos51170.2020.9299038

Cited by 21 publications

(14 citation statements)

References 24 publications

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“…Yet, most of the research in this area was designed to investigate either mHealth's adoption from technical motives or utilize it. However, a recent systematic literature review (Khalil et al. , 2020) suggests that both objective and subjective indicators of ITU of mHealth and users' satisfaction can promote the continuous use of the mHealth app.…”

Section: Study Backgroundmentioning

confidence: 99%

A mixed-method approach to assess users' intention to use mobile health (mHealth) using PLS-SEM and fsQCA

Hasan

Bao

2022

AJIM

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PurposeDespite the enormous potential of mobile health (mHealth), identifying the asymmetric relationship among the predictors towards intention to use (ITU) of mHealth tends to remain unresolved. This study aims to investigate the predictors and their asymmetric effects on ITU of mHealth through patients and healthcare professionals.Design/methodology/approachAn integrated information systems (IS) model with four additional constructs has been developed to analyze symmetric and asymmetric effects on ITU of mHealth. An exploratory survey on 452 mHealth users with prior experience was conducted to evaluate the model using a mixed-method approach including partial least squares-based structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) technique.FindingsThe findings show that facilitating conditions, personal awareness building, perceived enjoyment, effort expectancy and perceived usefulness have predictive power for ITU of mHealth. In contrast, fsQCA reveals four more alternative solutions, including the main drivers explored by PLS-SEM. The results indicate that various conditions that were not crucial in PLS-SEM analysis are shown to be sufficient conditions in fsQCA.Research limitations/implicationsThis study contributes to theory by integrating self-actualization factors (i.e. personal awareness building, patients as decision support unit) into the IS model. And practically, this study makes an essential contribution to users' ITU of mHealth, enabling relevant stakeholders to build strategies to implement mHealth successfully.Originality/valueWhile mHealth has revolutionized healthcare and the prior literature only showed linear relationships, this empirical study revealed asymmetrical relationships among the determinants of ITU of mHealth. Thus, this study extends to the growing body of literature on the use of mHealth technology in the least developing nation.

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Section: Study Backgroundmentioning

confidence: 99%

A mixed-method approach to assess users' intention to use mobile health (mHealth) using PLS-SEM and fsQCA

Hasan

Bao

2022

AJIM

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“…When expanding the scope to studies examining other age groups, some more results emerge. In a literature review [33] examine continued use of mHealth applications. They find that most studies in the domain have made use of either Information Systems Continuance Model (ISCM) or UTAUT2.…”

Section: Literature Review and Propositionsmentioning

confidence: 99%

Technology readiness, UTAUT2 and continued use of digital wellness services - A configurational approach

Mezei¹,

Sell²,

Walden³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Digital wellness is a multi-disciplinary domain that makes use of digital and mobile technologies in order to provide personalized services for the users to improve their mental and physical well-being. In order to understand the main drivers of continued usage of digital wellness services, we make use of the wellestablished Unified Theory of Acceptance and Use of Technology (UTAUT2) and extend it by considering user's technology readiness (TR). Survey data is collected from 162 Finnish young elderly who participate in a research program and use a digital wellness application.With Fuzzy-set Qualitative Comparative Analysis combinations of UTAUT2 dimensions and TR that lead users to continue or stop using digital wellness services, are identified. The results show that technology readiness can contribute to our understanding of users' continued usage behavior, both as an independent dimension and when combined with some of the UTAUT2 dimensions. Contrasted with previous research, our study confirms the importance of Effort expectancy whereas the impact of Performance expectancy is found to be less direct.

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“…On the other hand, after securing a large number of users early after launching, only about 55% of users choose to continue using this type of service after using it for the first time (Kim et al, 2019). More than 30% mHealth services applications were unloaded within a month of being downloaded (Khalil et al, 2020). The gap between the adoption rate and sustained usage rate has aroused the attention of service providers (Chiu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

How does mHealth service quality influences adoption?

Liu

Wang

et al. 2022

IMDS

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PurposeThis study investigated the underlying influence mechanism between mHealth service quality (SQ) and users' adoption intention and compared the differences of consumer individual decision-making behaviors between the pre-adoption stage and the post-adoption stages.Design/methodology/approachThis study built the pre-adoption and post-adoption models based on the stimulus-organism-response (S-O-R) model. Besides, this study collected 14,221 independent samples from 40 studies of pre-adoption intention to use and 12,876 independent samples from 36 studies of post-adoption intention to continue using and used meta-analysis structural equation modeling (MASEM) method to explore the formation of mHealth service quality influence on consumers toward adoption intention.FindingsThe results showed that (1) service quality positively trigger users' cognition response (i.e. perceived usefulness, perceived ease of use and perceived trust) and further positively drove the adoption and continuance intention; (2) there are similarities and differences in the relative importance of users' cognitive response between service quality and adoption intention at pre-adoption and post-adoption stages; (3) perceived trust (PTRU) played the most significant mediator in predicting users' adoption intention in both two stages; (4) perceived usefulness had a stronger influence than perceived ease of use (PEOU) on the adoption intention in pre-adoption while the result was just opposite in post-adoption stage.Practical implicationsThis study could help service providers effectively allocate their limited resources to improve user adoption intention.Originality/valueThis study is the first one to open the black box of the underlying influence mechanisms between mHealth service quality and individual adoption intention in mHealth services and show differences in consumer decision-making according to the adoption stage. It provides a new perspective to the research in mHealth.

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Identification of Factor Affecting Continuance Usage Intention of mHealth Application : A Systematic Literature Review

Cited by 21 publications

References 24 publications

A mixed-method approach to assess users' intention to use mobile health (mHealth) using PLS-SEM and fsQCA

A mixed-method approach to assess users' intention to use mobile health (mHealth) using PLS-SEM and fsQCA

Technology readiness, UTAUT2 and continued use of digital wellness services - A configurational approach

How does mHealth service quality influences adoption?

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