What installed mobile applications tell about their owners and how they affect users’ download behavior

Unal, Perin; Temizel, Tuğba Taşkaya; Eren, P. Erhan

doi:10.1016/j.tele.2017.05.005

Cited by 25 publications

(11 citation statements)

References 19 publications

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“…Age, gender, and personality types have also been examined in the context of mobile app usage behaviour. Unal et al (2017) investigated different personality types regarding download behaviour. A correlation was found between the 'conscientiousness' personality type (competence, achievement, self-discipline, dutifulness) and the increased number of app downloads where apps are recommended.…”

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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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%

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

Eveleth

Stone

2020

IJMC

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“…The results showed that user gender can be predicted with an accuracy of 70%, and most of their personality traits with an accuracy of over 90%. Gender differences were also confirmed by the research of Unal et al (2017). Liu et al (2018) highlight gender differences in the average amount of money spent on online shopping.…”

Section: Introductionmentioning

confidence: 57%

“…Understanding the individual socio-demographic characteristics of consumers allows programmers to understand preferences, and therefore to better customize mobile applications to their users (Unal et al 2017). This is a key process for properly designing and targeting advertisements (Hsu and Chen 2018;Tarute et al 2017;Li and Zhang 2013;Venkatesh et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Introduction of a New Mobile Player App Store in Selected Countries of Southeast Asia

et al. 2018

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Trends in modern society have a significant impact on the way organizations operate. The use of mobile phones makes it possible to create completely new high-availability communication and business channels. Mobile phones are used in mobile marketing, which has come to the fore via SMS marketing. In this article, the focus is on the use of mobile phones in e-business. The introduction of a new mobile player app store was analyzed through research conducted in 2017. The aim of the research was to find out whether it is possible—in terms of the sustainability of the consumption of a marketing product—to introduce a single campaign with the same content but in different language mutations in selected markets, or whether it is necessary to use a completely different campaign and means of communication for each market. Overall, 287 respondents from the Philippines, Thailand, and India were examined. The dependency between the socio-demographic characteristics of the respondents (country, gender, and age) and site engagement was tested, and user experience was tested, too. The results of the research revealed that there was no dependency between belonging to the selected countries and site engagement. Furthermore, there was also no dependency between gender and site engagement. On the other hand, there was a statistically significant dependency between belonging to the country and the design of the website.

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“…Behavioural studies aid app developers and IT managers in their decision making and development of user-friendly apps (Unal et al , 2017; Palomba et al , 2018). It is difficult for IT managers and developers to appraise the performance of apps without considering the users’ experiential value.…”

Section: Discussionmentioning

confidence: 99%

A(n) (a)symmetric perspective towards task-technology-performance fit in mobile app industry

Naser

Nikhashemi

Bressolles

et al. 2019

JEIM

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Purpose The purpose of this paper is to examine (a)symmetric features of task-technology-performance characteristics that are most relevant to fit, satisfaction and continuance intention of using apps in mobile banking transactions. Design/methodology/approach Exploratory factor analysis was used with maximum likelihood extraction and Varimax rotation on a separate sample of 183 mobile banking apps users prior to the main data collection. The theoretical model was tested applying a factor-based structural equation modelling approach to a sample of 250 experienced mobile banking apps users. Findings The study unveiled that the task and performance characteristics are more relevant compared to technology characteristics when doing transactions via apps. In addition, the findings uncovered that user satisfaction and continuous intention to use apps stem from the degree of fit in online transactions. The findings of moderation analysis highlighted that users in the lower income group are more concerned about the performance characteristics of banking apps, and there are no differences across age and gender groups. Surprisingly, technology characteristic has a nonlinear nature and this study shows potential boundary conditions of technology characteristics in degree of fit, user satisfaction and continuance intention to use apps. Practical implications Findings from the conditional probabilistic queries reveal that with 83.3 per cent of probability, user satisfaction is high when using apps for banking transactions, if the levels of fit, task, performance and technology characteristics are high. Furthermore, with 72 per cent of probability, continuance intention to use apps is high, if the levels of performance and task characteristics are high. Originality/value Contributing to task-technology fit theory, this study shows that performance characteristics need to be aligned with task and technology characteristics in order to have better fit when using apps for online banking transactions.

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What installed mobile applications tell about their owners and how they affect users’ download behavior

Cited by 25 publications

References 19 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

Introduction of a New Mobile Player App Store in Selected Countries of Southeast Asia

A(n) (a)symmetric perspective towards task-technology-performance fit in mobile app industry

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