IDEAS home Printed from https://ideas.repec.org/a/pal/jorapm/v17y2018i6d10.1057_s41272-018-0139-z.html
   My bibliography  Save this article

Future research directions in demand management

Author

Listed:
  • Christine S. M. Currie

    (University of Southampton)

  • Trivikram Dokka

    (Lancaster University, Bailrigg)

  • John Harvey

    (Carnival UK)

  • Arne K. Strauss

    (University of Warwick)

Abstract

Pricing and revenue management faces new research challenges against the background of new markets for trading of personal data, new regulations on data privacy, opportunities for personalised pricing, demand learning and many more emerging trends and developments. In order to explore these challenges, the British Engineering and Physical Sciences Research Council funded an interdisciplinary workshop to identify future research directions in demand management. The workshop (led by the authors Strauss and Currie) took place in September 2017 in London, and brought together 33 academics and practitioners in demand management and related disciplines, including law, computer science, digital marketing and operational research.

Suggested Citation

  • Christine S. M. Currie & Trivikram Dokka & John Harvey & Arne K. Strauss, 2018. "Future research directions in demand management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(6), pages 459-462, December.
    • Handle: RePEc:pal:jorapm:v:17:y:2018:i:6:d:10.1057_s41272-018-0139-z
    DOI: 10.1057/s41272-018-0139-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41272-018-0139-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41272-018-0139-z?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Negin Golrezaei & Hamid Nazerzadeh & Paat Rusmevichientong, 2014. "Real-Time Optimization of Personalized Assortments," Management Science, INFORMS, vol. 60(6), pages 1532-1551, June.
    2. Fabrice Talla Nobibon & Laurens Cherchye & Yves Crama & Thomas Demuynck & Bram De Rock & Frits C. R. Spieksma, 2016. "Revealed Preference Tests of Collectively Rational Consumption Behavior: Formulations and Algorithms," Operations Research, INFORMS, vol. 64(6), pages 1197-1216, December.
    3. Fabrice Talla Nobibon & Laurens Cherchye & Yves Crama & Thomas Demuynck & Bram De Rock & Frits C. R. Spieksma, 2016. "Revealed Preference Tests of Collectively Rational Consumption Behavior: Formulations and Algorithms," Operations Research, INFORMS, vol. 64(6), pages 1197-1216, December.
    4. Chiappori, Pierre-Andre, 1988. "Rational Household Labor Supply," Econometrica, Econometric Society, vol. 56(1), pages 63-90, January.
    5. Michael D. Wittman & Peter P. Belobaba, 2017. "Personalization in airline revenue management – Heuristics for real-time adjustment of availability and fares," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(4), pages 376-396, August.
    6. Strauss, Arne K. & Klein, Robert & Steinhardt, Claudius, 2018. "A review of choice-based revenue management: Theory and methods," European Journal of Operational Research, Elsevier, vol. 271(2), pages 375-387.
    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. Sukjoon Oh & John F. Gardner, 2022. "Large Scale Energy Signature Analysis: Tools for Utility Managers and Planners," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    2. Ioannou, Petros & Giuliano, Genevieve & Dessouky, Maged & Chen, Pengfei & Dexter, Sue, 2020. "Freight Load Balancing and Efficiencies in Alternative Fuel Freight Modes," Institute of Transportation Studies, Working Paper Series qt3ns4b894, Institute of Transportation Studies, UC Davis.
    3. Vávra, Jan & Duží, Barbora & Lapka, Miloslav & Cudlínová, Eva & Rikoon, J. Sanford, 2019. "Socio-economic context of soil erosion: A comparative local stakeholders’ case study from traditional agricultural region in the Czech Republic," Land Use Policy, Elsevier, vol. 84(C), pages 127-137.
    4. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.
    5. Mantin, Benny & Rubin, Eran, 2018. "Price volatility and market performance measures: The case of revenue managed goods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 120(C), pages 35-50.
    6. Tomczyk, Arkadiusz T. & Buhalis, Dimitrios & Fan, Daisy X.F. & Williams, Nigel L., 2022. "Price-personalization: Customer typology based on hospitality business," Journal of Business Research, Elsevier, vol. 147(C), pages 462-476.
    7. Rekha & Pooja Jain, 2019. "Consumer Management in Internet Age: A Study of Indian Car Buyers Digital Communication Adoption by Applying Competing Models," FIIB Business Review, , vol. 8(4), pages 279-291, December.
    8. King, Elizabeth M. & Randolph, Hannah L. & Floro, Maria S. & Suh, Jooyeoun, 2021. "Demographic, health, and economic transitions and the future care burden," World Development, Elsevier, vol. 140(C).

    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. Dieter Saelens, 2022. "Unitary or collective households? A nonparametric rationality and separability test using detailed data on consumption expenditures and time use," Empirical Economics, Springer, vol. 62(2), pages 637-677, February.
    2. Smeulders, Bart & Crama, Yves & Spieksma, Frits C.R., 2019. "Revealed preference theory: An algorithmic outlook," European Journal of Operational Research, Elsevier, vol. 272(3), pages 803-815.
    3. Muzaffer Buyruk & Ertan Güner, 2022. "Personalization in airline revenue management: an overview and future outlook," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 129-139, April.
    4. Aguiar, Victor H. & Hjertstrand, Per & Serrano, Roberto, 2020. "A Rationalization of the Weak Axiom of Revealed Preference," Working Paper Series 1321, Research Institute of Industrial Economics.
    5. Victor H. Aguiar & Per Hjertstrand & Roberto Serrano, 2020. "Rationalizable Incentives: Interim Implementation of Sets in Rationalizable Strategies," Working Papers 2020-16, Brown University, Department of Economics.
    6. Carvajal, Andrés & Song, Xinxi, 2018. "Testing Pareto efficiency and competitive equilibrium in economies with public goods," Journal of Mathematical Economics, Elsevier, vol. 75(C), pages 19-30.
    7. Julia Heger & Robert Klein, 2024. "Assortment optimization: a systematic literature review," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(4), pages 1099-1161, December.
    8. Khushboo Surana, 2022. "How different are we? Identifying the degree of revealed preference heterogeneity," Discussion Papers 22/09, Department of Economics, University of York.
    9. Laurens Cherchye & Bram Rock & Dieter Saelens & Marijn Verschelde, 2024. "Productive efficiency analysis with incomplete output information," Journal of Productivity Analysis, Springer, vol. 62(3), pages 291-301, December.
    10. Adams-Prassl, Abigail, 2019. "Mutually Consistent Revealed Preference Demand Predictions," CEPR Discussion Papers 13580, C.E.P.R. Discussion Papers.
    11. Fukushi, Mitsuyoshi & Delgado, Felipe & Raveau, Sebastián & Santos, Bruno F., 2022. "CHAIRS: A choice-based air transport simulator applied to airline competition and revenue management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 297-315.
    12. Guillermo Gallego & Gerardo Berbeglia, 2021. "The Limits of Personalization in Assortment Optimization," Papers 2109.14861, arXiv.org, revised Jun 2024.
    13. Ilan Lobel, 2021. "Revenue Management and the Rise of the Algorithmic Economy," Management Science, INFORMS, vol. 67(9), pages 5389-5398, September.
    14. Klein, Robert & Koch, Sebastian & Steinhardt, Claudius & Strauss, Arne K., 2020. "A review of revenue management: Recent generalizations and advances in industry applications," European Journal of Operational Research, Elsevier, vol. 284(2), pages 397-412.
    15. Catherine Sofer & Natalia Radtchenko & Ekaterina Kalugina, 2008. "Une analyse du partage intra familial du revenu à partir de données subjectives," Économie et Prévision, Programme National Persée, vol. 186(5), pages 101-116.
    16. Lamia Kandil & Hélène Perivier, 2017. "La division sexuée du travail dans les couples selon le statut marital en France - une étude à partir des enquêtes emploi du temps de 1985-1986, 1998-1999, et 2009-2010," Documents de Travail de l'OFCE 2017-03, Observatoire Francais des Conjonctures Economiques (OFCE).
    17. Olivier Bargain & Prudence Kwenda & Miracle Ntuli, 2017. "Gender bias and the intrahousehold distribution of resources: Evidence from African nuclear households in South Africa," WIDER Working Paper Series 071, World Institute for Development Economic Research (UNU-WIDER).
    18. Kota Ogasawara & Mizuki Komura, 2022. "Consequences of war: Japan’s demographic transition and the marriage market," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(3), pages 1037-1069, July.
    19. Guven, Cahit & Senik, Claudia & Stichnoth, Holger, 2012. "You can’t be happier than your wife. Happiness gaps and divorce," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 110-130.
    20. Xi Chen & Zachary Owen & Clark Pixton & David Simchi-Levi, 2022. "A Statistical Learning Approach to Personalization in Revenue Management," Management Science, INFORMS, vol. 68(3), pages 1923-1937, March.

    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:pal:jorapm:v:17:y:2018:i:6:d:10.1057_s41272-018-0139-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    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.