IDEAS home Printed from https://ideas.repec.org/a/sae/vision/v5y2001i1p13-23.html
   My bibliography  Save this article

Towards a Testbed for Modelling Application Service Provider (ASP)

Author

Listed:
  • Manish Agarwal
  • R. Kishore
  • H.R. Rao
  • S. Upadhyaya

Abstract

The information system outsourcing arena has recently seen the introduction of a new player – the Application Service Provider (ASP). ASPs are third-party companies that rent commonly available packaged software applications and related services. The model offers certain important characteristics that could result in important advantages to users. Some of these include: firms get access to world-class applications offering the same set of features as used by larger rivals, software developers are assured a recurring stream of revenue from their software products and upgrades, users are protected from the tribulations of upgrading and maintaining their software and applications. In this paper, we examine the emerging ASP model of providing software services to organisations. We then suggest a classification scheme for potential online ASP marketplaces and work on building a testable prototype for these marketplaces. We will use this testbed to study the influence of different attributes of clients and vendors on the services provided on the marketplaces. The testbed can also help in developing deception-free protocols for the interactions of the marketplace with service providers. In an environment where marketplaces provide trust-mechanisms for service-delivery, it is necessary for the marketplace to ensure that service providers have the appropriate incentives and penalties to truthfully reveal their capabilities.

Suggested Citation

  • Manish Agarwal & R. Kishore & H.R. Rao & S. Upadhyaya, 2001. "Towards a Testbed for Modelling Application Service Provider (ASP)," Vision, , vol. 5(1), pages 13-23, January.
    • Handle: RePEc:sae:vision:v:5:y:2001:i:1:p:13-23
    DOI: 10.1177/097226290100500102
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/097226290100500102
    Download Restriction: no
    File URL: https://libkey.io/10.1177/097226290100500102?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Chris Bennett & Greg T Timbrell, 2000. "Application Service Providers: Will They Succeed?," Information Systems Frontiers, Springer, vol. 2(2), pages 195-211, August.
    2. Dr. Ravi Kalakota & Dr. Benn Konsynski, 2000. "The Rise of Neo-Intermediation: The Transformation of the Brokerage Industry," Information Systems Frontiers, Springer, vol. 2(1), pages 115-128, January.
    3. Williams, Steven R, 1990. "The Transition from Bargaining to a Competitive Market," American Economic Review, American Economic Association, vol. 80(2), pages 227-231, May.
    4. Rustichini, Aldo & Satterthwaite, Mark A & Williams, Steven R, 1994. "Convergence to Efficiency in a Simple Market with Incomplete Information," Econometrica, Econometric Society, vol. 62(5), pages 1041-1063, September.
    5. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. De Feo, Giuseppe & Hindriks, Jean, 2014. "Harmful competition in insurance markets," Journal of Economic Behavior & Organization, Elsevier, vol. 106(C), pages 213-226.
    2. Athreya, Kartik B., 2014. "Big Ideas in Macroeconomics: A Nontechnical View," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262019736, December.
    3. Abhinay Muthoo & Suresh Mutuswami, 2011. "Imperfect Competition and Efficiency in Lemons Markets," Economic Journal, Royal Economic Society, vol. 121(552), pages 580-594, May.
    4. Krasa, Stefan & Shafer, Wayne, 2001. "Informational Robustness of Competitive Equilibria," Journal of Economic Theory, Elsevier, vol. 101(2), pages 494-518, December.
    5. Aristotelis Boukouras & Kostas Koufopoulos, 2017. "Efficient allocations in economies with asymmetric information when the realized frequency of types is common knowledge," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 64(1), pages 75-98, June.
    6. Schottmüller, Christoph, 2023. "Optimal information structures in bilateral trade," Theoretical Economics, Econometric Society, vol. 18(1), January.
    7. Aristotelis Boukouras & Kostas Koufopoulos, 2015. "Efficient Allocations in Economies with Asymmetric Information when the Realized Frequency of Types is Common Knowledge," Discussion Papers in Economics 15/04, Division of Economics, School of Business, University of Leicester.
    8. J. Berg & M. Marsili & A. Rustichini & R. Zecchina, 2001. "Statistical mechanics of asset markets with private information," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 203-211.
    9. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.
    10. Muthoo, Abhinay & Mutuswami, Suresh, 2005. "Competition and Efficiency in Markets with Quality Uncertainty," Economics Discussion Papers 9981, University of Essex, Department of Economics.
    11. Assaf Razin & Efraim Sadka & Chi-Wa Yuen, 1999. "An Information-Based Model of Foreign Direct Investment: The Gains from Trade Revisited," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 6(4), pages 579-596, November.
    12. Tisdell, Clem, 2014. "Information Technology's Impacts on Productivity, Welfare and Social Change: Second Version," Economic Theory, Applications and Issues Working Papers 195701, University of Queensland, School of Economics.
    13. Konduru, Srinivasa & Kalaitzandonakes, Nicholas G. & Magnier, Alexandre, 2009. "GMO Testing Strategies and Implications for Trade: A Game Theoretic Approach," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49594, Agricultural and Applied Economics Association.
    14. König, Philipp J. & Pothier, David, 2018. "Safe but fragile: Information acquisition, sponsor support and shadow bank runs," Discussion Papers 15/2018, Deutsche Bundesbank.
    15. Andrea Attar & Thomas Mariotti & François Salanié, 2021. "Entry-Proofness and Discriminatory Pricing under Adverse Selection," American Economic Review, American Economic Association, vol. 111(8), pages 2623-2659, August.
    16. Reynolds, Travis & Kolodinsky, Jane & Murray, Byron, 2012. "Consumer preferences and willingness to pay for compact fluorescent lighting: Policy implications for energy efficiency promotion in Saint Lucia," Energy Policy, Elsevier, vol. 41(C), pages 712-722.
    17. Ginger Zhe Jin & Andrew Kato & John A. List, 2010. "That’S News To Me! Information Revelation In Professional Certification Markets," Economic Inquiry, Western Economic Association International, vol. 48(1), pages 104-122, January.
    18. Ritu Agarwal & Michelle Dugas & Guodong (Gordon) Gao & P. K. Kannan, 2020. "Emerging technologies and analytics for a new era of value-centered marketing in healthcare," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 9-23, January.
    19. Villas-Boas, Sofia B, 2020. "Reduced Form Evidence on Belief Updating Under Asymmetric Information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt08c456vk, Department of Agricultural & Resource Economics, UC Berkeley.
    20. Yaofeng Fu & Ruokun Huang & Yiran Sheng, 2017. "Labor Contract Law -An Economic View," Papers 1702.03977, arXiv.org.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:vision:v:5:y:2001:i:1:p:13-23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.