Inferring App Demand from Publicly Available Data

Garg, Rajiv Kumar; Telang, Rahul

doi:10.25300/misq/2013/37.4.12

Cited by 178 publications

(124 citation statements)

References 7 publications

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“…Mobil uygulamalarla ilgili tüketici davranışları alanındaki araştırmalarda uygulamaların tercih edilmesi ve indirilmesine etki eden faktörleri inceleyen çalışmalarda yorum sayısı, uygulama özellikleri, fiyat, tüketici tutumu gibi etkenlere odaklanıldığını görmekteyiz (Garg ve Telang, 2013;Ghose ve Han, 2014;Hou ve Ho, 2013). Mobil uygulama tercihinde etkili olan faktörler olarak çevrimiçi benzer çalışmalara paralel olarak fiyatın etkisi, marka ismi ve kulaktan kulağa pazarlama gibi unsurlar ve kullanıcıların verdikleri puanlar ve yorumlarının satın alma niyetine etki ettiği görülmüştür (Carare, 2012;Degeratu, Rangaswamy ve Wu, 2000;Liang, Li, Yang ve Wang, 2015).…”

Section: Li̇teratür Taramasiunclassified

“…Bu çalışmalar içerisinde gerek metin temelli analizler gerekse sayısal unsurların mobil uygulama tercihi ve indirilme sayıları üzerine etkileri ortaya konulmuştur. Mobil oyunların indirilmesine yorumların (Hou ve Ho, 2013) diğer uygulamalar arasındaki sırasının tercihe etkileri (Garg ve Telang, 2013), çeşitli uygulama özelliklerinin uygulama indirilme sayılarına etkisi gibi konular (Ghose ve Han, 2014) mobil uygulama tüketici tercihi çalışma alanlarında öne çıkan alanlardır. Bu çalışmalarda mobil uygulama tercihine etki eden yukarıda sunulmuş olan faktörlerden de görülebileceği üzere görsel özellikler üzerine birkaç istisna dışında (Ghose ve Han, 2014;Pol, 2015) geniş çaplı çalışmalar yapılmamıştır.…”

Section: Li̇teratür Taramasiunclassified

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Visual elements effect on mobile application preference

Aydın¹

2016

Pressacademia

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Mobile devices and related services are attracting the interest of both marketing academicians and professionals as well as entrepreneurs. Mobile applications (apps) that work on these devices are promoted as individual service products or as supplementary services. In this context, this study aims to reveal the effect of visual elements in mobile app choice using app icons, the primary visual elements affecting consumer choice. The icons provide the first impression and are considered as the most frequently seen visual elements of apps. The visual and cognitive elements; color, symmetry, complexity, concreteness, familiarity and meaningfulness dimensions are used as icon characteristics. By utilizing the PAD model developed by Mahrabian and Russell, the effect of icon characteristics on users' dispositions and on download intentions was tested. Moreover, the effect of visual icon attributes on perceived quality was tested using the data collected through an online survey study. The analysis was carried out using structural equation modelling. This study aims to enable mobile app developers in improving their designs by revealing the effect of various visual elements on consumers' mobile app download intentions and expected to pioneer further studies in Turkey.

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Section: Li̇teratür Taramasiunclassified

Visual elements effect on mobile application preference

Aydın¹

2016

Pressacademia

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“…Download numbers are a measure of a smartphone app's popularity (Garg and Telang 2013;Abroms et al 2011). Analyzing download numbers requires a differentiation between apps concerning their business models: Since free apps have substantial (up to 10 times) more downloads (Garg and Telang 2013), we will distinguish between free and paid apps.…”

Section: Performance Assessmentmentioning

confidence: 99%

“…Analyzing download numbers requires a differentiation between apps concerning their business models: Since free apps have substantial (up to 10 times) more downloads (Garg and Telang 2013), we will distinguish between free and paid apps. Since Apple does not publish any download numbers, we use publicly available estimations of total cumulative downloads 10 and divide this by the age of the app (in years) to receive average annual downloads per app.…”

Section: Performance Assessmentmentioning

confidence: 99%

“…We collected 30 parameters such as name, app ID, initial release date, download numbers, and ratings, which have been used to measure app success (Garg and Telang 2013 All data was stored in a MySQL database (release 5.6.16) using an Apache web server (release 2.4.7) and was accessed using the web-browser based software phpMyAdmin (release 4.1.6). The database was accessed using Microsoft Access 2010 and evaluated using IBM SPSS Statistics 22 and Microsoft Excel 2010.…”

Section: Analytical App Datamentioning

confidence: 99%

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Are Patients and Relatives the Better Innovators? The Case of Medical Smartphone Applications

Goeldner

Herstatt

2016

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu Our findings show that users develop around 46% of all medical smartphone applications (apps). We analyzed 510,229 user ratings and found that apps designed by patients, relatives, and healthcare professionals are rated significantly better by App Store customers than apps created by professional software companies. Apps developed by patients' relatives achieve significantly more downloads and generate on average three times higher revenues per year. The initial medical smartphone app developments in the early days of the Apple App Store were mainly triggered by healthcare professionals. The interview data shows the extensive medical knowledge of patients and their relatives, particularly those with chronic diseases. Terms of use: Documents inThe overall findings are in line with a current literature stream that indicates that patients are gaining more influence on their treatment, are better informed, and are taking more actions to increase their quality of life. Commercial healthcare companies should take advantage of this and should consider including patients and relatives into their product development.

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Examining consumers' continuous usage of multichannel retailers' mobile applications

2021

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This paper examines the variables influencing a consumer's satisfaction and continuous use of a multichannel retailer's mobile application. Drawing upon the Expectation Confirmation Model for Information Technologies, post‐adoption literature, and consumer behavior literature, we assess pertinent factors on the continuous usage of multichannel retailers' mobile apps. Through a sample of 1009 consumers who retained a retailer's mobile app for more than 6 months and conducting Structural Equation Modelling, the findings illustrate that utilitarian variables (perceived usefulness, ease of use, and personalization), hedonic variables (perceived enjoyment), and a brand‐related variable (consumer loyalty intention toward the retailer's brand), play a significant role in influencing continuous usage of multichannel retailers' mobile apps. In contrast to e‐commerce research, the study outlines that escapism plays a negative role in both consumer satisfaction and intention to continue to use a multichannel retailer's mobile app. Previous research points to the fact that consumers' retention of retailers' apps is low. This paper contributes to the emerging literature on consumers' continuous use of retailers' mobile apps through enhancing our understanding of technology and non‐technology‐related variables.

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Inferring App Demand from Publicly Available Data

Cited by 178 publications

References 7 publications

Visual elements effect on mobile application preference

Visual elements effect on mobile application preference

Are Patients and Relatives the Better Innovators? The Case of Medical Smartphone Applications

Examining consumers' continuous usage of multichannel retailers' mobile applications

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