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The Internet and DSS: massive, real-time data availability is changing the DSS landscape

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The Internet can serve as a source of massive, micro-level data. We discuss the opportunities and challenges in capturing and utilizing real-time data off the Internet, intranets, or extranets. Emphasis is placed on developing dynamic decision support systems (DSSs) in our new data-enabled environment. Illustrations of real-time data capture and potential DSS use are provided from work on online auctions, e-retailing, piracy, and intellectual property.

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References

  • Bapna R, Goes P, Gupta A (2001) Insights and analyses of online auctions. Commun ACM 44:42–50

    Article  Google Scholar 

  • Bapna R, Goes P, Gupta A (2003a) Analysis and design of business-to-consumer online auctions. Manage Sci 49:85–101

    Article  Google Scholar 

  • Bapna R, Goes P, Gupta A (2003b) “Replicating online Yankee auctions to analyze auctioneers’ and bidders’ strategies. Inform Syst Res 14:244–268

    Article  Google Scholar 

  • Bapna R, Goes P, Gupta A, Jin Y (2004) User heterogeneity and its impact on electronic auction market design: an empirical exploration. MIS Q 28:21–43

    Google Scholar 

  • Bapna R, Goes P, Gupta A, Karuga G (2005) “Predicting bidders’ willingness to pay in online multi-unit ascending auctions,” University of Connecticut Working Paper. Accessed via http://www.sba.uconn.edu/users/rbapna

  • Bapna R, Goes P, Gopal R, Marsden JR (2006) Moving from data-constrained to data-enabled research: experiences and challenges in collecting, validating and analyzing large-scale e-commerce data. Stat Sci 21(2):116–130

    Article  Google Scholar 

  • Bhattacharjee S, Gopal RD, Lertwachara K, Marsden JR (2005) Using P2P sharing activity to improve business decision making: proof of concept for estimating product life-cycle. Electron Commer R A 4(1):14–20

    Google Scholar 

  • Bhattacharjee S, Gopal RD, Lertwachara K, Marsden JR (2006a) “Impact of legal threats on individual behavior: an analysis of music industry actions and online music sharing. J Law Econ 49(1):91–114

    Article  Google Scholar 

  • Bhattacharjee S, Gopal RD, Lertwachara K, Marsden JR (2006b) Consumer search and retailer strategies in the presence of online music sharing. J Manage Inform Syst 23(1):129–159

    Article  Google Scholar 

  • Bhattacharjee S, Gopal RD, Lertwachara K, Marsden JR (2006c) Whatever happened to Payola? An empirical analysis of online music sharing. Decis Support Syst 42(1):104–120

    Article  Google Scholar 

  • Bhattacharjee S, Gopal RD, Lertwachara K, Marsden JR, Telang R (2007) The effect of digital sharing technologies on music markets: a survival analysis of albums on ranking charts. Manage Sci 53(9):1359–1374

    Article  Google Scholar 

  • Bonczek RH, Holsapple CW, Whinston A (1981) Foundations of Decision Support Systems. Academic

  • Fenstermacher KD, Zeng D (1999) Know your supply chain. In: Proceedings of the AAAI-00 Workshop on Knowledge-Based Electronic Markets, USA

  • Sprague RH Jr (1980) A framework for the development of decision support systems. MIS Q 4(4):1–26

    Article  Google Scholar 

  • Steinberg R, Slavova M (2005) Empirical investigation of multidimensional types in Yankee auctions. Cambridge University Working Paper

  • Venkatesan R, Mehta K, Bapna R (2006a) Do market characteristics impact the relationship between retailer characteristics and online prices?, copies available from Ravi_Bapna@isb.edu

  • Venkatesan R, Mehta K, Bapna R (2006b) When the going gets tough the good get going: understanding the confluence of retailer characteristics, market characteristics and online pricing strategies,”copies available from Ravi_Bapna@isb.edu

  • Winn JK (2005) Contracting spyware by contract. Berkeley Tech Law Rev 20:1345–1359

    Google Scholar 

Download references

Acknowledgments

This work was supported by the Treibick Family Endowment, the Connecticut Information Technology Institute (CITI), the Gladstein Endowed MIS Research Center, the Center for Internet Data and Research Intelligence Services (CIDRIS), the Treibick Electronic Commerce Initiative (TECI), and SAS. Thanks are due to Dr. Ram Gopal for his many helpful comments and suggestions

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Authors and Affiliations

  1. Department of Operations and Information Management, School of Business, University of Connecticut, Storrs, CT, USA

    James R. Marsden

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  1. James R. Marsden
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Correspondence to James R. Marsden.

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This article is part of the “Handbook on Decision Support Systems” edited by Frada Burstein and Clyde W. Holsapple (2008) Springer.

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Marsden, J.R. The Internet and DSS: massive, real-time data availability is changing the DSS landscape. ISeB 6, 193–203 (2008). https://doi.org/10.1007/s10257-007-0066-9

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  • DOI: https://doi.org/10.1007/s10257-007-0066-9

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