IDEAS home Printed from https://ideas.repec.org/p/sce/scecf5/231.html
   My bibliography  Save this paper

Mitigating the Tragedy of the Digital Commons: the Case of Unsolicited Commercial Email

Author

Listed:
  • Oleg V. Pavlov

    (Social Science and Policy Studies WPI)

  • Nigel Melville

Abstract

The growth of unsolicited commercial email imposes increasing costs on organizations and causes considerable aggravation on the part of email recipients. A thriving anti-spam industry addresses some of the frustration. Regulation and various economic and technical means are in the works – all aimed at bringing down the flood of unwanted commercial email. This paper contributes to our understanding of the UCE phenomenon by drawing on scholarly work in areas of marketing and resource ownership and use. Adapting the tragedy of the commons to the email context, we identify a causal structure that drives the direct e-marketing industry. Computer simulations indicate that although filtering may be an effective method to curb UCE arriving at individual inboxes, it is likely to increase the aggregate volume, thereby boosting overall costs. We also examine other response mechanisms, including self-regulation, government regulation, and market mechanisms. The analysis advances understanding of the digital commons, the economics of UCE, and has practical implications for the direct e-marketing industry

Suggested Citation

  • Oleg V. Pavlov & Nigel Melville, 2005. "Mitigating the Tragedy of the Digital Commons: the Case of Unsolicited Commercial Email," Computing in Economics and Finance 2005 231, Society for Computational Economics.
  • Handle: RePEc:sce:scecf5:231
    as

    Download full text from publisher

    File URL: http://repec.org/sce2005/up.13668.1107117860.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wei-yu Kevin Chiang & Dilip Chhajed & James D. Hess, 2003. "Direct Marketing, Indirect Profits: A Strategic Analysis of Dual-Channel Supply-Chain Design," Management Science, INFORMS, vol. 49(1), pages 1-20, January.
    2. Martin, Brett A. S. & Van Durme, Joël & Raulas, Mika & Merisavo, Marko, 2003. "Email Advertising: Exploratory Insights from Finland," Journal of Advertising Research, Cambridge University Press, vol. 43(3), pages 293-300, September.
    3. Shyam Sunder & Matthew Cronin & Darrin Filer & Robert Kraut & James Morris & Rahul Telang & Proceedings the, 2002. "Markets for Attention: Will Postage for Email Help?," Yale School of Management Working Papers ysm394, Yale School of Management, revised 01 Oct 2008.
    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. Oleg V. Pavlov & Robert K. Plice & Nigel P. Melville, 2008. "A communication model with limited information‐processing capacity of recipients," System Dynamics Review, System Dynamics Society, vol. 24(3), pages 377-405, September.
    2. Pavlov, Oleg V. & Melville, Nigel & Plice, Robert K., 2008. "Toward a sustainable email marketing infrastructure," Journal of Business Research, Elsevier, vol. 61(11), pages 1191-1199, November.

    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. Donna, Javier D. & Pereira, Pedro & Trindade, Andre & Yoshida, Renan C., 2020. "Direct-to-Consumer Sales by Manufacturers and Bargaining," MPRA Paper 105773, University Library of Munich, Germany.
    2. Park, Timothy & Martinez, Steve & Ibrahim, Mohammed, . "Sales Performance of Local Food Marketers: Evaluation of Multivalued Treatment Effects," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 49(3).
    3. Yan, Ruiliang & Wang, John & Zhou, Bin, 2010. "Channel integration and profit sharing in the dynamics of multi-channel firms," Journal of Retailing and Consumer Services, Elsevier, vol. 17(5), pages 430-440.
    4. Cao, Zong-Hong & Zhou, Yong-Wu & Zhao, Ju & Li, Chang-Wen, 2015. "Entry mode selection and its impact on an incumbent supply chain coordination," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 1-13.
    5. Xiao, Tiaojun & Choi, Tsan-Ming & Cheng, T.C.E., 2014. "Product variety and channel structure strategy for a retailer-Stackelberg supply chain," European Journal of Operational Research, Elsevier, vol. 233(1), pages 114-124.
    6. Haitao Chen & Zhaohui Dong & Gendao Li, 2020. "Government Reward-Penalty Mechanism in Dual-Channel Closed-Loop Supply Chain," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    7. Zhang, Peng & He, Yong & Shi, Chunming (Victor), 2017. "Retailer's channel structure choice: Online channel, offline channel, or dual channels?," International Journal of Production Economics, Elsevier, vol. 191(C), pages 37-50.
    8. Hu, Qiying & Wei, Yihua & Xia, Yusen, 2010. "Revenue management for a supply chain with two streams of customers," European Journal of Operational Research, Elsevier, vol. 200(2), pages 582-598, January.
    9. Yan, Ruiliang & Ghose, Sanjoy, 2010. "Forecast information and traditional retailer performance in a dual-channel competitive market," Journal of Business Research, Elsevier, vol. 63(1), pages 77-83, January.
    10. Alaei, Amir Mohammad & Taleizadeh, Ata Allah & Rabbani, Masoud, 2022. "Marketplace, reseller, or web-store channel: The impact of return policy and cross-channel spillover from marketplace to web-store," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    11. Wensheng Yang & Yinyuan Si & Jinxing Zhang & Sen Liu & Andrea Appolloni, 2021. "Coordination Mechanism of Dual-Channel Supply Chains Considering Retailer Innovation Inputs," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    12. Matsui, Kenji, 2016. "Asymmetric product distribution between symmetric manufacturers using dual-channel supply chains," European Journal of Operational Research, Elsevier, vol. 248(2), pages 646-657.
    13. Yao, Dong-Qing & Liu, John J., 2005. "Competitive pricing of mixed retail and e-tail distribution channels," Omega, Elsevier, vol. 33(3), pages 235-247, June.
    14. Rodriguez, Virginie & Sangle-Ferriere, Marion, 2023. "Do supermarkets’ emails have any value for their customers? The effect of emails’ content and interestingness on customers’ attitude and engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    15. Niu, Baozhuang & Xu, Jingwen & Lee, Carman K.M. & Chen, Lei, 2019. "Order timing and tax planning when selling to a rival in a low-tax emerging market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 165-179.
    16. Duan, Housheng & Deng, Sijing & Song, Haiqing & Xu, Jiayan, 2021. "The impacts of sales efforts and mode of payment on the competition between agent and retailer," Omega, Elsevier, vol. 103(C).
    17. Khouja, Moutaz & Wang, Yulan, 2010. "The impact of digital channel distribution on the experience goods industry," European Journal of Operational Research, Elsevier, vol. 207(1), pages 481-491, November.
    18. Dmitri Kuksov & Chenxi Liao, 2023. "Restricting Speculative Reselling: When “How Much” Is the Question," Marketing Science, INFORMS, vol. 42(2), pages 377-400, March.
    19. Albert Y. Ha & Huajiang Luo & Weixin Shang, 2022. "Supplier Encroachment, Information Sharing, and Channel Structure in Online Retail Platforms," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1235-1251, March.
    20. Xiaole Dou & Zenglu Li & Chun Liu, 2022. "Secondhand product quality disclosure strategy of the retailer under different supply chain structures," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2982-2999, October.

    More about this item

    Keywords

    SPAM; Unsolicited Commercial Email (UCE); Tragedy of the Digital Commons; Simulation;
    All these keywords.

    JEL classification:

    • H40 - Public Economics - - Publicly Provided Goods - - - General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sce:scecf5:231. 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.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.