The differential effects of developers’ app store strategy on the performance of niche and popular mobile apps

This study investigates whether mobile app developers need to adjust their app store strategy depending on the popularity of their mobile apps. The study draws on the long tail perspective to differentiate between niche and popular mobile apps and considers app updating frequency, revenue model, use...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of marketing analytics 2023-09, Vol.11 (3), p.317-330
1. Verfasser: Tafesse, Wondwesen
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 330
container_issue 3
container_start_page 317
container_title Journal of marketing analytics
container_volume 11
creator Tafesse, Wondwesen
description This study investigates whether mobile app developers need to adjust their app store strategy depending on the popularity of their mobile apps. The study draws on the long tail perspective to differentiate between niche and popular mobile apps and considers app updating frequency, revenue model, user value of mobile apps, and optimization of the mobile app content as influential elements of app store strategy. It proposes a model linking developers’ app store strategy to mobile app performance, measured through user rating data, with mobile app popularity acting as a moderator. To test its hypotheses, the study estimates a regression model with interaction effects on a dataset of mobile apps from Apple’s App Store ( N  = 5765). The findings reveal that, relative to popular mobile apps, niche mobile apps need to be managed more proactively through more frequent updates and efficacious optimization of the mobile app content. The findings also show that offering mobile apps in hedonic categories complements a niche positioning strategy. The study contributes a novel insight by documenting how mobile app popularity interacts with app store strategy in determining mobile app performance.
doi_str_mv 10.1057/s41270-023-00216-8
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2857709296</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2857709296</sourcerecordid><originalsourceid>FETCH-LOGICAL-c376t-67636b1ae5b9200e2529a71c668cdc732561c44a3a550d39058f1cf5c503333</originalsourceid><addsrcrecordid>eNp9kM1KAzEUhQdRsNS-gKuA69GbZPIzSyn-QcGF3Yc0c6dOmU7GZCp052v4ej6JqSN2ZxbJ5eZ858DJsksK1xSEuokFZQpyYDwHYFTm-iSbMBCQc87k6d9M9Xk2i3EDAJRLySSfZP3yFUnV1DUG7IbGtgTT7IZIfE0qfMfW9xji18cnsX1P4uADpjvYAdd74jsyJD4pah-2tnN4wLrGpaXtKtL7ftfaQLZ-1bR4cIgX2Vlt24iz33eavdzfLeeP-eL54Wl-u8gdV3LIpZJcrqhFsSoZADLBSquok1K7yinOhKSuKCy3QkDFSxC6pq4WTgBPZ5pdja598G87jIPZ-F3oUqBhWigFJStlUrFR5YKPMWBt-tBsbdgbCuZQrRmrNala81Ot0QkiI4TOd008IlpypQtFD-l8lMT02a0xHNP_Mf4G99OHDg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2857709296</pqid></control><display><type>article</type><title>The differential effects of developers’ app store strategy on the performance of niche and popular mobile apps</title><source>SpringerNature Journals</source><creator>Tafesse, Wondwesen</creator><creatorcontrib>Tafesse, Wondwesen</creatorcontrib><description>This study investigates whether mobile app developers need to adjust their app store strategy depending on the popularity of their mobile apps. The study draws on the long tail perspective to differentiate between niche and popular mobile apps and considers app updating frequency, revenue model, user value of mobile apps, and optimization of the mobile app content as influential elements of app store strategy. It proposes a model linking developers’ app store strategy to mobile app performance, measured through user rating data, with mobile app popularity acting as a moderator. To test its hypotheses, the study estimates a regression model with interaction effects on a dataset of mobile apps from Apple’s App Store ( N  = 5765). The findings reveal that, relative to popular mobile apps, niche mobile apps need to be managed more proactively through more frequent updates and efficacious optimization of the mobile app content. The findings also show that offering mobile apps in hedonic categories complements a niche positioning strategy. The study contributes a novel insight by documenting how mobile app popularity interacts with app store strategy in determining mobile app performance.</description><identifier>ISSN: 2050-3318</identifier><identifier>EISSN: 2050-3326</identifier><identifier>DOI: 10.1057/s41270-023-00216-8</identifier><language>eng</language><publisher>London: Palgrave Macmillan UK</publisher><subject>Applications programs ; Business and Management ; Market analysis ; Mobile computing ; Optimization ; Original Article ; Popularity ; Regression models</subject><ispartof>Journal of marketing analytics, 2023-09, Vol.11 (3), p.317-330</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Limited 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c376t-67636b1ae5b9200e2529a71c668cdc732561c44a3a550d39058f1cf5c503333</citedby><cites>FETCH-LOGICAL-c376t-67636b1ae5b9200e2529a71c668cdc732561c44a3a550d39058f1cf5c503333</cites><orcidid>0000-0002-1284-7167</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1057/s41270-023-00216-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1057/s41270-023-00216-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Tafesse, Wondwesen</creatorcontrib><title>The differential effects of developers’ app store strategy on the performance of niche and popular mobile apps</title><title>Journal of marketing analytics</title><addtitle>J Market Anal</addtitle><description>This study investigates whether mobile app developers need to adjust their app store strategy depending on the popularity of their mobile apps. The study draws on the long tail perspective to differentiate between niche and popular mobile apps and considers app updating frequency, revenue model, user value of mobile apps, and optimization of the mobile app content as influential elements of app store strategy. It proposes a model linking developers’ app store strategy to mobile app performance, measured through user rating data, with mobile app popularity acting as a moderator. To test its hypotheses, the study estimates a regression model with interaction effects on a dataset of mobile apps from Apple’s App Store ( N  = 5765). The findings reveal that, relative to popular mobile apps, niche mobile apps need to be managed more proactively through more frequent updates and efficacious optimization of the mobile app content. The findings also show that offering mobile apps in hedonic categories complements a niche positioning strategy. The study contributes a novel insight by documenting how mobile app popularity interacts with app store strategy in determining mobile app performance.</description><subject>Applications programs</subject><subject>Business and Management</subject><subject>Market analysis</subject><subject>Mobile computing</subject><subject>Optimization</subject><subject>Original Article</subject><subject>Popularity</subject><subject>Regression models</subject><issn>2050-3318</issn><issn>2050-3326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kM1KAzEUhQdRsNS-gKuA69GbZPIzSyn-QcGF3Yc0c6dOmU7GZCp052v4ej6JqSN2ZxbJ5eZ858DJsksK1xSEuokFZQpyYDwHYFTm-iSbMBCQc87k6d9M9Xk2i3EDAJRLySSfZP3yFUnV1DUG7IbGtgTT7IZIfE0qfMfW9xji18cnsX1P4uADpjvYAdd74jsyJD4pah-2tnN4wLrGpaXtKtL7ftfaQLZ-1bR4cIgX2Vlt24iz33eavdzfLeeP-eL54Wl-u8gdV3LIpZJcrqhFsSoZADLBSquok1K7yinOhKSuKCy3QkDFSxC6pq4WTgBPZ5pdja598G87jIPZ-F3oUqBhWigFJStlUrFR5YKPMWBt-tBsbdgbCuZQrRmrNala81Ot0QkiI4TOd008IlpypQtFD-l8lMT02a0xHNP_Mf4G99OHDg</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Tafesse, Wondwesen</creator><general>Palgrave Macmillan UK</general><general>Palgrave Macmillan</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X5</scope><scope>7XB</scope><scope>87Z</scope><scope>8AL</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>M0C</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYYUZ</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-1284-7167</orcidid></search><sort><creationdate>20230901</creationdate><title>The differential effects of developers’ app store strategy on the performance of niche and popular mobile apps</title><author>Tafesse, Wondwesen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c376t-67636b1ae5b9200e2529a71c668cdc732561c44a3a550d39058f1cf5c503333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Applications programs</topic><topic>Business and Management</topic><topic>Market analysis</topic><topic>Mobile computing</topic><topic>Optimization</topic><topic>Original Article</topic><topic>Popularity</topic><topic>Regression models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tafesse, Wondwesen</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Entrepreneurship Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of marketing analytics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tafesse, Wondwesen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The differential effects of developers’ app store strategy on the performance of niche and popular mobile apps</atitle><jtitle>Journal of marketing analytics</jtitle><stitle>J Market Anal</stitle><date>2023-09-01</date><risdate>2023</risdate><volume>11</volume><issue>3</issue><spage>317</spage><epage>330</epage><pages>317-330</pages><issn>2050-3318</issn><eissn>2050-3326</eissn><abstract>This study investigates whether mobile app developers need to adjust their app store strategy depending on the popularity of their mobile apps. The study draws on the long tail perspective to differentiate between niche and popular mobile apps and considers app updating frequency, revenue model, user value of mobile apps, and optimization of the mobile app content as influential elements of app store strategy. It proposes a model linking developers’ app store strategy to mobile app performance, measured through user rating data, with mobile app popularity acting as a moderator. To test its hypotheses, the study estimates a regression model with interaction effects on a dataset of mobile apps from Apple’s App Store ( N  = 5765). The findings reveal that, relative to popular mobile apps, niche mobile apps need to be managed more proactively through more frequent updates and efficacious optimization of the mobile app content. The findings also show that offering mobile apps in hedonic categories complements a niche positioning strategy. The study contributes a novel insight by documenting how mobile app popularity interacts with app store strategy in determining mobile app performance.</abstract><cop>London</cop><pub>Palgrave Macmillan UK</pub><doi>10.1057/s41270-023-00216-8</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-1284-7167</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 2050-3318
ispartof Journal of marketing analytics, 2023-09, Vol.11 (3), p.317-330
issn 2050-3318
2050-3326
language eng
recordid cdi_proquest_journals_2857709296
source SpringerNature Journals
subjects Applications programs
Business and Management
Market analysis
Mobile computing
Optimization
Original Article
Popularity
Regression models
title The differential effects of developers’ app store strategy on the performance of niche and popular mobile apps
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T08%3A16%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20differential%20effects%20of%20developers%E2%80%99%20app%20store%20strategy%20on%20the%20performance%20of%20niche%20and%20popular%20mobile%20apps&rft.jtitle=Journal%20of%20marketing%20analytics&rft.au=Tafesse,%20Wondwesen&rft.date=2023-09-01&rft.volume=11&rft.issue=3&rft.spage=317&rft.epage=330&rft.pages=317-330&rft.issn=2050-3318&rft.eissn=2050-3326&rft_id=info:doi/10.1057/s41270-023-00216-8&rft_dat=%3Cproquest_cross%3E2857709296%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2857709296&rft_id=info:pmid/&rfr_iscdi=true