Determinants of Mobile Apps' Success: Evidence from the App Store Market

Lee, Gunwoong; Raghu, T. S.

doi:10.2753/mis0742-1222310206

Cited by 210 publications

(146 citation statements)

References 42 publications

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“…We also find that, similar to the evidence shown in [8], the growth rate of downloads increases with the number of other applications by the same developer. We refer to this as "portfolio effects", which we interpret as a signal of developers' ability to exploit the presence of complementarities among apps.…”

Section: Empirical Model and Resultssupporting

confidence: 72%

“…The second feature of the model is based on the evidence 7 The minimum number of apps we could have observed in our sample is 1,000 (if the top 1,000 apps are the same in the five countries during the whole period) while the maximum is 30,000 (if the top 1,000 apps change every month and are different in the five countries under observation). 8 We obtained similar diagrams for the apps of the other countries and the patterns were similar. 9 Figure 3 was obtained by dropping the initial and last month of observation in order to spot apps that truly entered the top 1,000 ranking only once.…”

Section: A Simple Theoretical Modelsupporting

confidence: 62%

“…Figure 3 focuses on apps that appear only once in our six-month period of observation; more specifically, the figure focusses on iTunes apps in Germany, 8 and shows the ranking of apps (grouped into groups of twenty) that entered the top 1,000 for only one month (and were not listed before or after that month). 9 We observe that the distribution is highly concentrated on high values of the ranking especially in position between 800 and 1,000).…”

Section: The Datamentioning

confidence: 99%

See 2 more Smart Citations

To upgrade or not to upgrade? the release of new versions to survive in the hypercompetitive app market

Comino

Manenti

Mariuzzo

2016

Proceedings of the International Workshop on App Market Analytics

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Very low entry barriers and an exceptionally high degree of competition characterize the market for mobile applications. In such an environment one of the critical issues is how to attract the attention of users. Practitioners and developers are well aware that managing app updates (i.e., releasing new versions of an existing app) is critical to increase app visibility and to keep users engaged, disguising a hidden strategy to stimulate downloads. We use unbalanced panel data with characteristics for the top 1,000 apps on iTunes and Google Play stores, for five European countries, to empirically investigate publishers' strategies concerning the release of updates. We find that only in the case of iTunes updates boost downloads and are more likely to be released when the app is experiencing poor performance. We interpret this finding as evidence that the lack of quality control by Google Play leads to an excess of updating of Android apps.

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Section: Empirical Model and Resultssupporting

confidence: 72%

Section: A Simple Theoretical Modelsupporting

confidence: 62%

Section: The Datamentioning

confidence: 99%

See 1 more Smart Citation

To upgrade or not to upgrade? the release of new versions to survive in the hypercompetitive app market

Comino

Manenti

Mariuzzo

2016

Proceedings of the International Workshop on App Market Analytics

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“…Even though researchers have investigated the effect of App usability on use behavior (Hoehle & Venkatesh 2015) or app availability and market performance (Lee & Raghu 2014), they have not considered the antecedents of adoption nor the switching behavior. There is a need to understand the antecedents of App usage and its effect on subsequent use behavior.…”

Section: Introductionmentioning

confidence: 99%

App Adoption and Switching Behavior: Applying the Extended Tam in Smartphone App Usage

Roy

2017

JISTEM

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The increasing use of mobile applications have been escalating with the increasing use of smartphones. In the present study, we examine (a) the adoption behavior of mobile apps using the extended TAM framework, and (b) whether adoption leads to subsequent use behavior and switching intentions. Based on data collected from two surveys in India we test the conceptual model of extended TAM and the effects of behavior on switching intentions using factor analysis and structural equation modeling. The major findings indicate a significant effect of most predictor variables on the perceived usefulness and perceived ease of use of apps. Further, we found a significant effect of behavioral intention on use behavior and subsequent switching intentions to apps from computers/laptops.

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“…These add-ons allow new content to be added to the game after release. The add-on products in the software context sits somewhere between updates and versioning [3], [39]- [41]. Unlike updates, not every customer receives the add-on content, and unlike versioning, the features are not bundled into different versions but are sold or given away separately.…”

Section: Introductionmentioning

confidence: 99%

If You Let Them Build It, They Will Stay! An Empirical Study of Add-on Content and User Engagement

Kanat¹,

Hong²,

Gu³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Abstract-This study aims to uncover the effects of two types of add-on content -namely, user generated and developer generated content-on user engagement with software. Utilizing a novel dataset from a major online game distribution platform covering 7323 products between January 2015 and February 2016, the findings reveal that both types of add-on content increases the engagement with software. However, we observe substitutive patterns between different types of add-on content. Our results suggest integrating social features to the base product reduces these substitution effects. The results of this study contribute to the literatures on user engagement and add-on content by uncovering hitherto overlooked substitutive relations between user generated and developer generated addon content.

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Determinants of Mobile Apps' Success: Evidence from the App Store Market

Cited by 210 publications

References 42 publications

To upgrade or not to upgrade? the release of new versions to survive in the hypercompetitive app market

To upgrade or not to upgrade? the release of new versions to survive in the hypercompetitive app market

App Adoption and Switching Behavior: Applying the Extended Tam in Smartphone App Usage

If You Let Them Build It, They Will Stay! An Empirical Study of Add-on Content and User Engagement

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