Factors affecting mobile application usage: exploring the roles of gender, age, and application types from behaviour log data

Hwang, Kyung-Ho; Chan‐Olmsted, Sylvia M.; Nam, Sang-Hyun; Chang, Byeng-Hee

doi:10.1504/ijmc.2016.076285

Cited by 22 publications

(18 citation statements)

References 28 publications

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“…They found no gender differences regarding the volume of app downloads but there is a need to understand users' intention to use recommended apps and how to tailor recommendations to different user needs. Hwang et al (2016) investigated modifying variables of gender and age through user experience and log data. The age variable was significant in the amount of use of social networking apps (younger users usages were higher than older users) whereas gender was not significant.…”

Section: The Literaturementioning

confidence: 99%

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User's perceptions of perceived usefulness, satisfaction, and intentions of mobile application

Eveleth

Stone

2020

IJMC

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Mobile applications (apps) have become ubiquitous in our daily lives. This research is focused on users' perceptions of mobile apps' usefulness and the influence they have on user satisfaction and intentions toward these mobile apps. The data was collected via a questionnaire, with 121 responses, by students enrolled in business courses at a medium-sized university in the USA. Using structural equation modelling, self-efficacy of mobile apps and two of the three perceived usefulness measures significantly influenced satisfaction. Mobile app use also facilitated information seeking and social relationships to influence perception of satisfaction with these apps. A discussion of these results and conclusions are also provided.

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Section: The Literaturementioning

confidence: 99%

“…Almost 30% of the apps available in the app stores are for games and entertainment. Social networking app usage is moderated by gender and age (Fang and Fang, 2016;Hwang et al, 2016).…”

Section: The Literaturementioning

confidence: 99%

User's perceptions of perceived usefulness, satisfaction, and intentions of mobile application

Eveleth

Stone

2020

IJMC

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“…M-commerce is born out of the explosive development of cell phone, and it has the potential of allowing customers to access the internet anywhere, anytime for M-commerce business. Hence, the issues related to consumer's decision-making on M-commerce have important implications for M-commerce service providers and for academic researchers (Choi et al, 2008;Chong, 2013a;Lin, Paragas and Bautista, 2016;Hwang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Understanding the critical factors for successful M-commerce adoption

Hsu

Yeh

2018

IJMC

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Prior studies on technology acceptance models (TAM) have been widely used to examine mobile commerce (M-commerce). These studies usually have applied the structural equation modelling; however, the method has intrinsic limitations in terms of effectiveness and validity. The purpose of this study is to find the critical success factors influencing consumer adoption decision on M-commerce by integrating TAM and decision-making trial and evaluation laboratory. In order to verify the proposed approach, the Taiwanese are used as illustrative examples. This study finds four critical success factors that influence M-commerce adoption: perceived ease of use, perceived usefulness, value-added and service functionality. In addition, these factors were identified as the cause and effect factors. The results of this study are presented to M-commerce service providers' in facilitating the development of wireless services.

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“…Men are generally assumed to adopt technology faster than women, but this applies only in the early phase of the adoption of the technology. Several authors have documented small gender differences in the ability and willingness to use smart navigation technologies (Hwang, K.H. et al 2016;Silber-Varod, V. et al 2019;Ženka, J. et al 2021).…”

Section: Gender Age Education and Their Effects On Technology Acceptancementioning

confidence: 99%

“…Older women place more emphasis on facilitating conditions and effort expectancy (ease of consumer's use of the technology) when adopting a new technology, especially in the early stages of adoption. They are more determined to use these technologies when they become aware that these technologies will make their lives easier (Hwang, K.H. et al 2016).…”

Section: Gender Age Education and Their Effects On Technology Acceptancementioning

confidence: 99%

Acceptance of a smartphone navigation application by hospital patients and visitors: the role of gender, age, and education

et al. 2021

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This paper analyses the acceptance of a smartphone navigation app in a hospital among its patients/visitors. We tested the effects of socio-demographic factors (gender, age, and education) on technology acceptance and on perceived difficulties with wayfinding in the hospital complex. The empirical research is based on a survey among 928 patients/visitors of the Vítkovice Hospital in Ostrava, Czechia. We found that the acceptance of smart navigation increases with the level of education and decreases with age. No significant gender differences were observed.

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Factors affecting mobile application usage: exploring the roles of gender, age, and application types from behaviour log data

Cited by 22 publications

References 28 publications

User's perceptions of perceived usefulness, satisfaction, and intentions of mobile application

User's perceptions of perceived usefulness, satisfaction, and intentions of mobile application

Understanding the critical factors for successful M-commerce adoption

Acceptance of a smartphone navigation application by hospital patients and visitors: the role of gender, age, and education

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