Understanding the impact of personality traits on mobile app adoption – Insights from a large-scale field study

Xu, Ran; Frey, Remo Manuel; Fleisch, Elgar; Ilic, Alexander

doi:10.1016/j.chb.2016.04.011

Cited by 171 publications

(166 citation statements)

References 87 publications

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“…Recent studies confirm that gender and personality traits would moderate the online social networking behaviour, also having a significant impact on the adoption of different types of mobile apps (e.g. Muscanell & Guadagno, 2012;Xu, Frey, Fleisch, & Ilic, 2016). The frequent use of the internet is associated in the case of students with a minimal deficiency in their lives, socially, academically or life-style wise.…”

Section: Short Literature Reviewmentioning

confidence: 96%

Computers, Internet and Smartphone Attitudes Among Romanian University Students

Maican¹,

Cocoradă²

2017

Europ. j. multidiscip. stud.

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Higher education institutions encourage the use of computers and of the internet for accessing content, assignments, exam results and collaborative learning work. Our study focuses on the university students' attitudes towards the use of computers, internet and smartphones in relationship with the field of studies, age, gender, academic performance. The research is a descriptive and correlational one. The participants were 685 female and male university students, enrolled in Sciences and Humanities, distributed in two studies which conducted at a distance of four years. The instruments used were the following: CARS, (Heinssen, Glass, & Knight, 1987), the IAS (Nickel and Pinto (1986), CAS (Compeau, & Higgins, 1995), some scales of MTUAS (Rosen, Whaling, Carrier, Cheever, & Rokkum, 2013) and of USLS (Rung, Wranke, and Mattheos, 2014). The results showed significant differences between male and female students concerning the use and attitudes towards computers, internet and smartphones. But the self-efficacy is the same with males and females, conventional and nonconventional students, respectively. The positive and negative attitudes and task switching are equal for the two genders, and the academic performance is associated with a part of the activities performed on Facebook. The findings are discussed in connection with the learning situations, the multitasking tendencies and the use of technologies for social and private activities.

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Section: Short Literature Reviewmentioning

confidence: 96%

Computers, Internet and Smartphone Attitudes Among Romanian University Students

Maican¹,

Cocoradă²

2017

Europ. j. multidiscip. stud.

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“…Each app that is installed on an Android device is able to access the data through the API. The retrieved list of apps can either be used to find out more about the user's properties [12,14] or to produce a fingerprint from the device [1].…”

Section: Methods 31 Recording Installed Apps and App Categoriesmentioning

confidence: 99%

“…Recent studies proofed that the set of installed apps is a valuable information source for user profiling [12,14] and other delicate actions like prediction of current life events [4]. Thus, the method based on apps raises again concerns about privacy protection and we suggest to use the less sensitive app categories instead of apps.…”

Section: Related Work On Mobile User Trackingmentioning

confidence: 99%

A lightweight user tracking method for app providers

Frey

Ilic

2016

Proceedings of the ACM International Conference on Computing Frontiers

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Since 2013, Google and Apple no longer allow app providers to use the persistent device identifiers (Android ID and UDID) for user tracking on mobile devices. Other tracking options provoke either severe privacy concerns, need additional hardware or are only practicable by a limited number of companies. In this paper, we present a lightweight method that overcomes these weaknesses by using the set of installed apps on a device to create a unique fingerprint. The method was evaluated in a field study with 2410 users and 175,658 installed apps in total. The sets of these installed apps are unique in 99.75% of all inspected users. Furthermore, by reducing the granularity from apps to app categories to lessen users' privacy concerns, the results remain highly unique with an identification rate of 96.22%. Since the information of installed apps and app categories on each device is freely available for any app developer, the method is a valuable instrument for app providers.

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“…Previous work has shown the relevance of personality in relation to technology adoption (Vishwanath, 2005), including adoption of social media (Ross et al, 2009), location-based services (Chorley, Whitaker, & Allen, 2015) or mobile apps (Xu, Frey, Fleisch, & Ilic, 2016). However, scientific literature is scarce when it comes to studies of adoption based on a combination of personality, sociodemographic and Internet use factors.…”

Section: Introductionmentioning

confidence: 99%

Understanding workers’ adoption of productivity mobile applications: a fuzzy set qualitative comparative analysis (fsQCA)

Urueña

Arenas

Nuchera

2018

Economic Research-Ekonomska Istraživanja

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Mobile devices such as smartphones and tablets become more present in our lives every day. Most of these devices use the Android operating system (O.S.), becoming the most popular O.S. for mobile devices. For these devices, there is a huge offer of application software that provides answers to users' different needs. This study aims to analyse how combinations of personality factors, sociodemographic variables and Internet use influence the adoption of productivity mobile apps by workers. To achieve this, a combination of these variables is analysed using fuzzy set Qualitative Comparative Analysis (fsQCA.) that allows us to analyse complex complementarities among factors. The results show the importance of distinct personality traits -extraversion and agreeableness -to understand the adoption of these services. Our study also provides relevant insight for software developers to target segments interested in the use of productivity software in their mobile devices.

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Understanding the impact of personality traits on mobile app adoption – Insights from a large-scale field study

Cited by 171 publications

References 87 publications

Computers, Internet and Smartphone Attitudes Among Romanian University Students

Computers, Internet and Smartphone Attitudes Among Romanian University Students

A lightweight user tracking method for app providers

Understanding workers’ adoption of productivity mobile applications: a fuzzy set qualitative comparative analysis (fsQCA)

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