IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v12y2001i3p260-283.html
   My bibliography  Save this article

Business Planning for Network Services: A Systems Thinking Approach

Author

Listed:
  • Amitava Dutta

    (School of Management, George Mason University, 4400 University Drive, Fairfax, Virginia 22030-4444)

Abstract

As demand for online network services continues to grow, service providers are looking to meet this need and avail themselves of business opportunities. However, despite strong growth in demand, providers continue to have difficulty achieving profitability, customer churn remains high, and network performance continues to draw complaints. We suggest that strategic business planning for network services would benefit from a systems thinking approach that analyzes the feedback effects present in the underlying business process. These feedback loops can be complex and have significant impact on business performance. For instance, while the size of a provider's customer base depends on price and network performance, network performance is itself dependent on the size of the customer base. In this paper, we develop a planning model that represents these feedback effects using the finite difference equations methodology of systems dynamics. The model is validated by showing its fit with essential characteristics of the underlying problem domain, and by showing its ability to replicate observed reference mode behaviors. Simulations are then carried out under a variety of scenarios to examine issues important to service providers. Among other findings, the simulations suggest that (a) under flat-rate pricing, lowering price to increase customer base can hurt profitability as well as network performance; (b) under usage-based pricing, lowering price need not necessarily lead to a larger customer base; and (c) in addition to price, the customers' threshold of tolerance for performance degradation plays a significant role in balancing market share with profitability. We briefly present a prototype decision support system based on the systems thinking approach, and suggest ways in which it could be used to help business planning for network services.

Suggested Citation

  • Amitava Dutta, 2001. "Business Planning for Network Services: A Systems Thinking Approach," Information Systems Research, INFORMS, vol. 12(3), pages 260-283, September.
  • Handle: RePEc:inm:orisre:v:12:y:2001:i:3:p:260-283
    DOI: 10.1287/isre.12.3.260.9713
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.12.3.260.9713
    Download Restriction: no

    File URL: https://libkey.io/10.1287/isre.12.3.260.9713?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. Ralph L. Keeney, 1999. "The Value of Internet Commerce to the Customer," Management Science, INFORMS, vol. 45(4), pages 533-542, April.
    2. Kishore Sengupta & Tarek K. Abdel-Hamid, 1993. "Alternative Conceptions of Feedback in Dynamic Decision Environments: An Experimental Investigation," Management Science, INFORMS, vol. 39(4), pages 411-428, April.
    3. Ruth N. Bolton, 1998. "A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction," Marketing Science, INFORMS, vol. 17(1), pages 45-65.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nicholas C. Georgantzas & Evangelos G. Katsamakas, 2008. "Information systems research with system dynamics," System Dynamics Review, System Dynamics Society, vol. 24(3), pages 247-264, September.
    2. T. S. Raghu & B. Jayaraman & H. R. Rao, 2004. "Toward an Integration of Agent- and Activity-Centric Approaches in Organizational Process Modeling: Incorporating Incentive Mechanisms," Information Systems Research, INFORMS, vol. 15(4), pages 316-335, December.
    3. Robert Yawson & Jennifer Kuzma, 2010. "Systems Mapping of Consumer Acceptance of Agrifood Nanotechnology," Journal of Consumer Policy, Springer, vol. 33(4), pages 299-322, December.

    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. Risselada, Hans & Verhoef, Peter C. & Bijmolt, Tammo H.A., 2010. "Staying Power of Churn Prediction Models," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 198-208.
    2. Philipp Afèche & Mojtaba Araghi & Opher Baron, 2017. "Customer Acquisition, Retention, and Service Access Quality: Optimal Advertising, Capacity Level, and Capacity Allocation," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 674-691, October.
    3. Polo, Yolanda & Sese, F. Javier & Verhoef, Peter C., 2011. "The Effect of Pricing and Advertising on Customer Retention in a Liberalizing Market," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 201-214.
    4. René Riedl & Harald Kindermann & Andreas Auinger & Andrija Javor, 2012. "Technostress from a Neurobiological Perspective," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(2), pages 61-69, April.
    5. A Mukherjee & P Nath & M Pal, 2003. "Resource, service quality and performance triad: a framework for measuring efficiency of banking services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(7), pages 723-735, July.
    6. Van den Poel, Dirk & Lariviere, Bart, 2004. "Customer attrition analysis for financial services using proportional hazard models," European Journal of Operational Research, Elsevier, vol. 157(1), pages 196-217, August.
    7. Jing Wang & Jay In Oh, 2023. "Factors Influencing Consumers’ Continuous Purchase Intentions on TikTok: An Examination from the Uses and Gratifications (U&G) Theory Perspective," Sustainability, MDPI, vol. 15(13), pages 1-19, June.
    8. Blattberg, Robert C. & Malthouse, Edward C. & Neslin, Scott A., 2009. "Customer Lifetime Value: Empirical Generalizations and Some Conceptual Questions," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 157-168.
    9. Salimi, Negin & Rezaei, Jafar, 2018. "Evaluating firms’ R&D performance using best worst method," Evaluation and Program Planning, Elsevier, vol. 66(C), pages 147-155.
    10. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    11. Ahrholdt, Dennis C. & Gudergan, Siegfried P. & Ringle, Christian M., 2019. "Enhancing loyalty: When improving consumer satisfaction and delight matters," Journal of Business Research, Elsevier, vol. 94(C), pages 18-27.
    12. Russo, Ivan & Confente, Ilenia & Gligor, David M. & Autry, Chad W., 2016. "To be or not to be (loyal): Is there a recipe for customer loyalty in the B2B context?," Journal of Business Research, Elsevier, vol. 69(2), pages 888-896.
    13. Kim, Jungkeun, 2019. "The impact of different price promotions on customer retention," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 95-102.
    14. Noel Siu & Tracy Zhang & Cheuk-Ying Yau, 2013. "The Roles of Justice and Customer Satisfaction in Customer Retention: A Lesson from Service Recovery," Journal of Business Ethics, Springer, vol. 114(4), pages 675-686, June.
    15. Lea Sonderegger-Wakolbinger & Christian Stummer, 2015. "An agent-based simulation of customer multi-channel choice behavior," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 459-477, June.
    16. Louis Geiler & Séverine Affeldt & Mohamed Nadif, 2022. "A survey on machine learning methods for churn prediction," Post-Print hal-03824873, HAL.
    17. G. Tomas M. Hult & Forrest V. Morgeson III & Udit Sharma & Claes Fornell, 2022. "Customer satisfaction and international business: A multidisciplinary review and avenues for research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(8), pages 1695-1733, October.
    18. Inger ROOS & Martin LÖFGREN & Bo EDVARDSSON, 2013. "Customer-Support Service From A Relationship Perspective: Best Practice For Telecom," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 5(2), pages 5-21, June.
    19. Eva Ascarza & Bruce G. S. Hardie, 2013. "A Joint Model of Usage and Churn in Contractual Settings," Marketing Science, INFORMS, vol. 32(4), pages 570-590, July.
    20. anonymous, 2006. "Editorial: Thanks to the Many Individuals Who Make Publication of Possible," Marketing Science, INFORMS, vol. 25(4), pages 293-300, 07-08.

    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:inm:orisre:v:12:y:2001:i:3:p:260-283. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.