Replication data for: Entrepreneurial Innovation: Killer Apps in the iPhone Ecosystem

Name: Replication data for: Entrepreneurial Innovation: Killer Apps in the iPhone Ecosystem
Published: 2014-05-01
License: This work is licensed under an Other license created by the data depositor. Please refer to the LICENSE file, which should be located alongside the project data and documentation.
Keywords: mobile apps

Principal Investigator(s): View help for Principal Investigator(s) Pai-Ling Yin; Jason P. Davis; Yulia Muzyrya

Version: View help for Version V1

Name	File Type	Size	Last Modified
P2014_1175_data			10/19/2021 02:36:PM
LICENSE.txt	text/plain	14.6 KB	10/11/2019 06:11:PM

Project Citation:

Yin, Pai-Ling, Davis, Jason P., and Muzyrya, Yulia. Replication data for: Entrepreneurial Innovation: Killer Apps in the iPhone Ecosystem. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112783V1

Project Description

Summary: The mobile applications (apps) industry has exhibited rapid entry and growth in the midst of a recession. Using unique data from the iPhone application ecosystem, we examine how the development of "killer apps" (apps appearing in the top grossing rank) varies by market and app characteristics. We find that previous app experience and no updating increase the likelihood of becoming a killer game app, while more updates increase the likelihood of becoming a non-game killer app. Development opportunities, level of competition, and demand preferences are possible drivers of the opposing innovation process results in game and non-game markets.

Scope of Project

Subject Terms: mobile apps

JEL Classification:
      L26 Entrepreneurship
      L63 Microelectronics; Computers; Communications Equipment
      L86 Information and Internet Services; Computer Software
      O31 Innovation and Invention: Processes and Incentives

Geographic Coverage: united states

Data Type(s): event/transaction data

Methodology

Data Source: Google Play, iTunes

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Published Versions

V1 [2019-10-11]

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