Skip to main content

When Your App is Under the Spotlight

  • Conference paper
  • First Online:
Internetworked World (WEB 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 296))

Included in the following conference series:

  • 865 Accesses

Abstract

Due to the nature of apps as experience goods and the vast product space, new product discovery in the mobile app market has become a very salient problem for developers and consumers. Our paper investigates developers’ best response to the platform’s recommendation, where the featured apps enjoy a reduction in search cost and an endorsement of quality for a limited period of time. Specifically, we consider three response options available to the developers: releasing a version update, increasing price, and decreasing price. We find that only the price decrease strategy has a positive effect on sales during the featuring window, while the effect of the price increase and version update strategy is not significant.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Notes

  1. 1.

    See http://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/, and http://venturebeat.com/2016/02/10/the-app-economy-could-double-to-101b-by-2020-research-firm-says/.

  2. 2.

    See https://www.idc.com/getdoc.jsp?containerId=prUS41240816.

  3. 3.

    See http://www.gartner.com/newsroom/id/2648515.

  4. 4.

    The section used to be named “Best New Apps.”.

  5. 5.

    See https://www.appannie.com/tours/market-data-intelligence/.

  6. 6.

    For example, the link https://www.appannie.com/apps/ios/app/anchor-lets-talk/features/#device=iphone shows the information on store featuring for the app named “Anchor - Radio by the people.”.

References

  1. Ghose, A., Han, S.P.: Estimating demand for mobile applications in the new economy. Manag. Sci. 60(6), 1470–1488 (2014)

    Article  Google Scholar 

  2. The Nielsen Company: Nielsen mobile apps white paper, September 2010

    Google Scholar 

  3. Chen, P.-Y., Wu, S., Yoon, J.: The impact of online recommendations and consumer feedback on sales. ICIS 2004 Proc. p. 58 (2004)

    Google Scholar 

  4. Lin, Z., Goh, K.-Y., Heng, C.-S.: The demand effects of product recommendation networks: an empirical analysis of network diversity and stability

    Google Scholar 

  5. Oestreicher-Singer, G., Sundararajan, A.: Recommendation networks and the long tail of electronic commerce. MIS Q. 36(1), 65–83 (2010)

    Google Scholar 

  6. Pathak, B., Garfinkel, R., Gopal, R.D., Venkatesan, R., Yin, F.: Empirical analysis of the impact of recommender systems on sales. J. Manag. Inf. Syst. 27(2), 159–188 (2010)

    Article  Google Scholar 

  7. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)

    Article  Google Scholar 

  8. Komiak, S.Y., Benbasat, I.: The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Q. 30(4), 941–960 (2006)

    Article  Google Scholar 

  9. Xiao, B., Benbasat, I.: E-commerce product recommendation agents: use, characteristics, and impact. MIS Q. 31(1), 137–209 (2007)

    Article  Google Scholar 

  10. Kirmani, A., Rao, A.R.: No pain, no gain: a critical review of the literature on signaling unobservable product quality. J. Mark. 64(2), 66–79 (2000)

    Article  Google Scholar 

  11. Zhu, F., Zhang, X.: Impact of online consumer reviews on sales: the moderating role of product and consumer characteristics. J. Mark. 74(2), 133–148 (2010)

    Article  Google Scholar 

  12. Rao, A.R., Qu, L., Ruekert, R.W.: Signaling unobservable product quality through a brand ally. J. Mark. Res. 36, 258–268 (1999)

    Article  Google Scholar 

  13. Smith, D., Menon, S., Sivakumar, K.: Online peer and editorial recommendations, trust, and choice in virtual markets. J. Interact. Mark. 19(3), 15–37 (2005)

    Article  Google Scholar 

  14. Lee, G., Raghu, T.S., Park, S.: Do app descriptions matter? evidence from mobile app product descriptions. SSRN Working Paper (2015)

    Google Scholar 

  15. Milgrom, P., Roberts, J.: Price and advertising signals of product quality. J. Polit. Econ. 94(4), 796–821 (1986)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chen Liang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liang, C., Shi, Z.(., Raghu, T.S. (2017). When Your App is Under the Spotlight. In: Fan, M., Heikkilä, J., Li, H., Shaw, M., Zhang, H. (eds) Internetworked World. WEB 2016. Lecture Notes in Business Information Processing, vol 296. Springer, Cham. https://doi.org/10.1007/978-3-319-69644-7_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-69644-7_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69643-0

  • Online ISBN: 978-3-319-69644-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics