Effect of Output Quality and Result Demonstrability on Generation Y’s Behavioural Intention in Adopting Mobile Health Applications

Gow, Chen Xian; Wong, Siew Chin; Lim, Chui Seong

doi:10.1177/2319510x19872597

Cited by 6 publications

(5 citation statements)

References 43 publications

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“…This relationship shows that the tangible aspects (benefits) of mobile apps influence their PU amongst beneficiaries, thereby enhancing the likelihood of app adoption. Previous TAM studies have also found RD's impact on PU (Venkatesh and Davis, 2000; Gow et al. , 2019).…”

Section: Discussionmentioning

confidence: 79%

Modelling the adoption of agro-advisory mobile applications: a theoretical extension and analysis using result demonstrability, trust, self-efficacy and mobile usage proficiency

Soodan

Jamwal²,

Rana³

et al. 2023

JADEE

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PurposeThis paper aims to explore the determinants of intention towards the use of agro-advisory mobile applications by extending the technology acceptance model (TAM) with addition of the following constructs: result demonstrability (RD), trust, self-efficacy (SE) and mobile usage proficiency (MUP).Design/methodology/approachThe study employed a survey on farmers (n = 446), which was analysed through structural equation modelling using Analysis of Moment Structures (AMOS).FindingsThe results show that RD and farmer's trust on agro-advisory mobile apps (AAMA) positively impact their perceptions of usefulness. Also, farmer's SE and MUP positively affect their perceptions of ease of using AAMA. Further, interestingly, farmer's attitude towards the AAMA fully mediates the relationship between perceived usefulness and perceived ease of use on intention to use them.Research limitations/implicationsUnderstanding the antecedents of agro-advisory mobile application offers a unique contribution to policymakers, private firms, and non-government organizations by proving key insights on the acceptance of agriculture based mobile technologies in context of developing nations.Originality/valueTo the best of author's knowledge, this is one of the first research enquiries on the adoption of agro-advisory mobile applications. The new theoretical framework adds to the original TAM and offers novel insights that are helpful in augmenting the current understanding on AAMA and their acceptance by the beneficiaries.

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Section: Discussionmentioning

confidence: 79%

Modelling the adoption of agro-advisory mobile applications: a theoretical extension and analysis using result demonstrability, trust, self-efficacy and mobile usage proficiency

Soodan

Jamwal²,

Rana³

et al. 2023

JADEE

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“…While RD is used in different research studies as an antecedent to PU to explore user acceptance of information technology, this construct has been overlooked in studies on health-related systems such as PHRs. RD was only used in one study of the IT usage of mobile-based health applications, where it was used to examine behavioral intentions to use mobile health applications (Gow et al, 2019). This current study considers the unique addition of RD as a primary construct in a PHR adoption model.…”

Section: Results Demonstrability (Rd)mentioning

confidence: 99%

Integrative adoption model for personal health records: A structural equation modeling approach

Alharbey¹

2022

Int. j. adv. appl. sci.

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The adoption of a personal health record (PHR) is a crucial element in quality healthcare, allowing patients to permit the storage of their health information to create a more inclusive, reliable health record. However, the embracing of PHRs has been slow compared to other healthcare-related systems due to the poor design and behavioral aspects. The objective of this research is to study user acceptance factors to identify a better design for PHR systems and to promote healthy behaviors that support individuals' performance. The study proposes an integrative adoption model for PHRs that integrates theoretical factors from the health belief model with the user acceptance determinants from the technology acceptance model and innovation diffusion theory. Using structural equation modeling with the R “Lavaan” package, the study tested the hypothesis relationships of the constructs. The data were captured from individuals through Amazon’s MTurk. Among the nine relationships studied, the research revealed six significant relationships that inform the final PHR integrative adoption model. The research provides great insights into the factors that influence individuals’ PHR adoption. The results introduce a novel integration model to the current body of knowledge. This model will contribute to a better theoretical understanding of the actual use of healthcare-related technologies and bring greater estimates of patient engagement in healthy activities.

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“…Hubert et al (2019) likewise found a positive relationship between RD and adoption intention for smart homes indicating the relevance of this variable. Additionally, Gow et al (2019) reported a direct positive effect of RD on intention while Yang and Lee (2019) indicated that RD indirectly predicted adoption intention. In essence, when m-commerce has noble features that can be communicated by the SMEs to their colleagues, they will adopt it for their operations.…”

Section: Discussion Of Findingsmentioning

confidence: 99%

Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach

Salimon

Kareem

Mokhtar

et al. 2021

JSTPM

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Purpose The purpose of this study is to examine the factors that influence Malaysian Small and Medium Enterprises (SMEs) to adopt mobile commerce (m-commerce) by integrating the constructs of Technology Acceptance Model 3 (TAM 3), Universal Theory of Acceptance and Use of Technology 2 and Technology-Organization-Environment model. Though numerous m-commerce adoption (MCA) studies have been conducted, lesser attention is paid to how hedonic motivation (HM) can influence organizational users such as SMEs. This study bridges the gap by integrating the three models to provide a new lens to guide SMEs. Design/methodology/approach To examine the factors that influence the adoption of m-commerce, the researchers collected data from SMEs in Malaysia using an online survey. The sample size of the participants was determined through the available list provided by SME Corp Malaysia. The researchers also used Krejcie and Morgan’s sample size and G * Power techniques to determine that the sample size was appropriate. The data collected were analyzed using partial least square-structural equation modeling. Findings The findings of this study reveal that technological factors (computer self-efficacy [CSE], result demonstrability [RD] and computer anxiety [CA]) positively and significantly influence MCA. Likewise, the organizational/environmental factors (m-commerce knowledge, pressure from trading partners and pressure from competitors) positively and significantly influence MCA. The moderating influence of HM was also achieved on the relationship between CSE and RD. However, the proposed hedonic moderating relationship between CA and the adoption of m-commerce is not significant. Research limitations/implications This study integrates three models to explain the adoption of m-commerce among SMEs in Malaysia and tested the moderating influence of HM. The results obtained better explain the decision by the SMEs to use m-commerce. Originality/value The study critically considered how m-commerce can be adopted by SMEs in Malaysia, which previous studies have largely ignored. Considering this, the study, therefore, advances a new relationship by integrating Technology-organization-environment model with TAM 3 and the moderating influence of HM to explain MCA among SMEs. This paper is one of the few research studies to test the moderating influence of HM in this regard.

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Effect of Output Quality and Result Demonstrability on Generation Y’s Behavioural Intention in Adopting Mobile Health Applications

Cited by 6 publications

References 43 publications

Modelling the adoption of agro-advisory mobile applications: a theoretical extension and analysis using result demonstrability, trust, self-efficacy and mobile usage proficiency

Modelling the adoption of agro-advisory mobile applications: a theoretical extension and analysis using result demonstrability, trust, self-efficacy and mobile usage proficiency

Integrative adoption model for personal health records: A structural equation modeling approach

Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach

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