IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/btqsc.html
   My bibliography  Save this paper

Economic Growth and Business to-Business Marketing

Author

Listed:
  • Abid, Hofa

    (Bt research scoiety)

Abstract

During the last two decades, business-to-business marketing has developed into a distinct field, highlighting the divergences in marketing practice. We believe it is worthwhile to reiterate the many distinctions between the two disciplines and, more importantly, to highlight the importance of these distinctions when adopting a business-to-business marketing strategy. Business-to-business Buyers Are More Demanding. The third differentiating element between B2B and consumer purchasers is a fitting conclusion to this paper: business-to-business buyers are more demanding. They are accountable for making the best buying decisions on behalf of their company. They take fewer risks and hence need superior quality. They are trained to identify a substandard offering when they encounter one. They are used to obtaining their desires. They often pay more than a customer would and hence demand more in return. They are more prone to see themselves as engaged with the product or service than as passive recipients.

Suggested Citation

  • Abid, Hofa, 2021. "Economic Growth and Business to-Business Marketing," OSF Preprints btqsc, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:btqsc
    DOI: 10.31219/osf.io/btqsc
    as

    Download full text from publisher

    File URL: https://osf.io/download/62339ef6e91945079a177451/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/btqsc?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. Bo Yan & Chenxu Ke, 2018. "Two strategies for dynamic perishable product pricing to consider in strategic consumer behaviour," International Journal of Production Research, Taylor & Francis Journals, vol. 56(5), pages 1757-1772, March.
    2. Tong, Antonia, 2021. "Comparison of the fin-tech evergreen fund in China and U.S.A," OSF Preprints ybfr6, Center for Open Science.
    3. J. Michael Harrison & N. Bora Keskin & Assaf Zeevi, 2012. "Bayesian Dynamic Pricing Policies: Learning and Earning Under a Binary Prior Distribution," Management Science, INFORMS, vol. 58(3), pages 570-586, March.
    4. Rajat Kumar Behera & Pradip Kumar Bala & Nripendra P. Rana & Hatice Kizgin, 2022. "A Techno-Business Platform to Improve Customer Experience Following the Brand Crisis Recovery: A B2B Perspective," Information Systems Frontiers, Springer, vol. 24(6), pages 2027-2051, December.
    5. Hindriks, Jean & Myles, Gareth D., 2013. "Intermediate Public Economics," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262018691, April.
    6. Orley C. Ashenfelter & Henry Farber & Michael R Ransom, 2010. "Labor Market Monopsony," Journal of Labor Economics, University of Chicago Press, vol. 28(2), pages 203-210, April.
    7. Harrington, Joseph E. , Jr., 2017. "The Theory of Collusion and Competition Policy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262036932, April.
    8. Constantinos Maglaras & Joern Meissner, 2006. "Dynamic Pricing Strategies for Multiproduct Revenue Management Problems," Manufacturing & Service Operations Management, INFORMS, vol. 8(2), pages 136-148, July.
    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. Doan, Xuan Vinh & Lei, Xiao & Shen, Siqian, 2020. "Pricing of reusable resources under ambiguous distributions of demand and service time with emerging applications," European Journal of Operational Research, Elsevier, vol. 282(1), pages 235-251.
    2. Thomas Loots & Arnoud V. den Boer, 2023. "Data‐driven collusion and competition in a pricing duopoly with multinomial logit demand," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1169-1186, April.
    3. Peng Hu & Stephen Shum & Man Yu, 2016. "Joint Inventory and Markdown Management for Perishable Goods with Strategic Consumer Behavior," Operations Research, INFORMS, vol. 64(1), pages 118-134, February.
    4. Stefanus Jasin, 2014. "Reoptimization and Self-Adjusting Price Control for Network Revenue Management," Operations Research, INFORMS, vol. 62(5), pages 1168-1178, October.
    5. Pierre Pestieau & Gregory Ponthiere, 2017. "Optimal fertility under age-dependent labour productivity," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(2), pages 621-646, April.
    6. Hindriks, Jean & Serse, Valerio, 2022. "The incidence of VAT reforms in electricity markets: Evidence from Belgium," International Journal of Industrial Organization, Elsevier, vol. 80(C).
    7. Grigoriev, A. & Hiller, B. & Marban, S. & Vredeveld, T. & van der Zwaan, G.R.J., 2010. "Dynamic pricing problems with elastic demand," Research Memorandum 053, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    8. Emons, Winand, 2020. "The effectiveness of leniency programs when firms choose the degree of collusion," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    9. William L. Cooper & Tito Homem-de-Mello & Anton J. Kleywegt, 2015. "Learning and Pricing with Models That Do Not Explicitly Incorporate Competition," Operations Research, INFORMS, vol. 63(1), pages 86-103, February.
    10. Aniruddha Dutta, 2019. "Capacity Allocation of Game Tickets Using Dynamic Pricing," Data, MDPI, vol. 4(4), pages 1-12, October.
    11. N. Bora Keskin & Assaf Zeevi, 2014. "Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies," Operations Research, INFORMS, vol. 62(5), pages 1142-1167, October.
    12. Godin, M. & Hindriks, J., 2015. "A Review of Critical Issues on Tax Design and Tax Administration in a Global Economy and Developing Countries," LIDAM Discussion Papers CORE 2015028, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Yiwei Chen & Nikolaos Trichakis, 2021. "Technical Note—On Revenue Management with Strategic Customers Choosing When and What to Buy," Operations Research, INFORMS, vol. 69(1), pages 175-187, January.
    14. David Card & Ana Rute Cardoso & Joerg Heining & Patrick Kline, 2018. "Firms and Labor Market Inequality: Evidence and Some Theory," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 13-70.
    15. Tabasso, D, 2009. "Temporary Contracts and Monopsony Power in the UK Labour Market," Economics Discussion Papers 8938, University of Essex, Department of Economics.
    16. Josef Broder & Paat Rusmevichientong, 2012. "Dynamic Pricing Under a General Parametric Choice Model," Operations Research, INFORMS, vol. 60(4), pages 965-980, August.
    17. Amitrajeet A. Batabyal & Hamid Beladi, 2022. "The Response of Creative Class Members to Regions Vying to Attract Them With Subsidies," International Regional Science Review, , vol. 45(5), pages 581-600, September.
    18. Micael Castanheira & Gaëtan Nicodème & Paola Profeta, 2012. "On the political economics of tax reforms: survey and empirical assessment," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(4), pages 598-624, August.
    19. Samuel Haas & Johannes Paha, 2021. "Non-Controlling Minority Shareholdings and Collusion," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 58(3), pages 431-454, May.
    20. Fernández-Villaverde, Jesús & Mandelman, Federico & Yu, Yang & Zanetti, Francesco, 2021. "The “Matthew effect” and market concentration: Search complementarities and monopsony power," Journal of Monetary Economics, Elsevier, vol. 121(C), pages 62-90.

    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:osf:osfxxx:btqsc. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.