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Business Aspects of Web Services pp 171–190Cite as

Web Services Advanced Reservation Contracts

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Abstract

In Chap. 5, the benefits which dynamic pricing mechanisms hold for providers as well as customers were pointed out. Though already commonly used in practice both market participants are faced with certain risks: Web service providers face the risk of low incomes in times of (unexpected) low utilization and demand, and are thus forced to lower their prices accordingly in order to keep up with their competitors. This may result in considerable losses. On the other hand, Web service customers may run into situations where, despite of a high willingness to pay, cannot fulfill their demand in peak times. While for the provider this dilemma has mainly direct economic consequences only, it can become a more serious issue to the customers than only high costs.

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Notes

  1. 1.

    http://www.eex.com/.

  2. 2.

    http://www.cantorexchange.com/.

  3. 3.

    There is no need to specific this market mechanism in any more detail as only the price is relevant for the derivative model.

  4. 4.

    This result is also already known from the Capital Asset Pricing Model (CAPM) theory, see, for example, Sharpe (1964) and Ross (1973).

  5. 5.

    The term revenue management is omitted here. Though some authors see slight differences between the two terms of yield and revenue management, this section follows the general notion of most academic papers treating them equally.

  6. 6.

    This is in contrast to many today’s reservation systems, for example, in the airline industry, where it is still possible to make these kind of requests completely anonymous.

  7. 7.

    This holds almost surely, as for any given value of α the probability of ρ( ⋅) taking a value so that the property does not hold, is zero. With both α and ρ in [0, 1] this would only hold for α = 0 and ρ = 1.

References

  1. Bauwens L, Hautsch N (2006) Stochastic conditional intensity processes. J Financ Econometrics 4(3):450–493

    Article  Google Scholar 

  2. Belobaba P (1987) Airline yield management: An overview of seat inventory control. Transport Sci 21(2):63–74

    Article  Google Scholar 

  3. Björk T (2009) Arbitrage theory in continuous time. Oxford University Press, Oxford

    Google Scholar 

  4. Edelman B, Ostrovsky M, Schwarz M (2007) Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. Am Econ Rev 97(1):242–259

    Article  Google Scholar 

  5. Elmaghraby W, Keskinocak P (2003) Dynamic pricing in the presence of inventory considerations: Research overview, current practices, and future directions. Manag Sci 49(10):1287–1309

    Article  MATH  Google Scholar 

  6. Engle R (2000) The econometrics of ultra-high-frequency data. Econometrica 68(1):1–22

    Article  MATH  Google Scholar 

  7. Harrison J, Kreps D (1979) Martingales and arbitrage in multiperiod securities markets. Department of Applied Economics, University of Cambridge, Cambridge

    Google Scholar 

  8. Hull J (2008) Options, futures, and other derivatives. Pearson Education India, New Delhi

    Google Scholar 

  9. Kleindorfer P, Wu D (2003) Integrating long- and short-term contracting via business-to-business exchanges for capital-intensive industries. Manag Sci 49(11):1597–1615

    Article  Google Scholar 

  10. Meinl T (2008) Advance reservation of grid resources via real options. In: Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services, IEEE Computer Society, pp. 3–10

    Google Scholar 

  11. Meinl T, Blau B (2009) Web service derivatives. In: Proceedings of the 18th international conference on World wide web. ACM, NY, pp 271–280

    Google Scholar 

  12. Meinl T, Tatsubori M, Anandasivam A (2010) Enabling cloud service reservation with derivatives and yield management. In: 12th IEEE conference on commerce and enterprise computing,e-commerce and e-services, Shanghai, pp 3–10

    Google Scholar 

  13. Papazoglou P (2008) Web services: Principles and technologies. Prentice Hall, MA

    Google Scholar 

  14. Ross S (1973) The arbitrage theory of capital asset pricing. Rodney L. White Center for Financial Research, University of Pennsylvania, The Wharton School, Philadelphia, PA

    Google Scholar 

  15. Seifert J, Uhrig-Homburg M (2007) Modelling jumps in electricity prices: Theory and empirical evidence. Rev Derivatives Res 10(1):59–85

    Article  MATH  Google Scholar 

  16. Sharpe W (1964) Capital asset prices: A theory of market equilibrium under conditions of risk. J Financ 19(3):425–442

    MathSciNet  Google Scholar 

  17. Snyder D (1975) Random point processes. Wiley, NJ

    MATH  Google Scholar 

  18. Vinod B (2004) Unlocking the value of revenue management in the hotel industry. J Revenue Pricing Manag 3(2):178–190

    Article  Google Scholar 

  19. Weinhardt C, Dinther C, Grunenberg M (2006) CAME-toolsuite meet2trade-auf dem Weg zum computer aided market engineering. KIT Scientific Publishing, Germany

    Google Scholar 

  20. Zhao W, Zheng Y (2000) Optimal dynamic pricing for perishable assets with nonhomogeneous demand. Manag Sci 46(3):375–388

    Article  MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. Karlsruhe Institute of Technology Institute of Information Systems and Management, Englerstr. 14, 76131, Karlsruhe, Germany

    Christof Weinhardt, Benjamin Blau, Tobias Conte, Thomas Meinl & Wibke Michalk

  2. Research Center for Information Technology, Haid-und-Neu-Str. 10-14, 76131, Karlsruhe, Germany

    Lilia Filipova-Neumann

Authors
  1. Christof Weinhardt
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  2. Benjamin Blau
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  3. Tobias Conte
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  4. Lilia Filipova-Neumann
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  5. Thomas Meinl
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  6. Wibke Michalk
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Correspondence to Christof Weinhardt .

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Weinhardt, C., Blau, B., Conte, T., Filipova-Neumann, L., Meinl, T., Michalk, W. (2011). Web Services Advanced Reservation Contracts. In: Business Aspects of Web Services. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22447-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-22447-8_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22446-1

  • Online ISBN: 978-3-642-22447-8

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