IDEAS home Printed from https://ideas.repec.org/a/spr/joamsc/v46y2018i1d10.1007_s11747-017-0570-5.html
   My bibliography  Save this article

Meta-analysis: integrating accumulated knowledge

Author

Listed:
  • Dhruv Grewal

    (Babson College)

  • Nancy Puccinelli

    (University of Bath
    Oxford University)

  • Kent B. Monroe

    (University of Illinois)

Abstract

Building a foundation of marketing theory requires developing effective ways to aggregate research results. Meta-analyses that accumulate knowledge within a research domain is an important means for summarizing research findings and increasingly is being conducted in various substantive marketing domains. Moderator analysis and structural models using meta-analytic inputs have emerged as a powerful means to advance current knowledge in a research domain, and, importantly, identify fruitful areas for future inquiry. This article reviews the growth of meta-analysis in marketing and identifies several important issues researchers must consider when conducting and reporting a meta-analysis.

Suggested Citation

  • Dhruv Grewal & Nancy Puccinelli & Kent B. Monroe, 2018. "Meta-analysis: integrating accumulated knowledge," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 9-30, January.
    • Handle: RePEc:spr:joamsc:v:46:y:2018:i:1:d:10.1007_s11747-017-0570-5
    DOI: 10.1007/s11747-017-0570-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11747-017-0570-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11747-017-0570-5?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. Benjamin Scheibehenne & Rainer Greifeneder & Peter M. Todd, 2010. "Can There Ever Be Too Many Options? A Meta-Analytic Review of Choice Overload," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(3), pages 409-425, October.
    2. Janiszewski, Chris & Noel, Hayden & Sawyer, Alan G, 2003. "A Meta-analysis of the Spacing Effect in Verbal Learning: Implications for Research on Advertising Repetition and Consumer Memory," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(1), pages 138-149, June.
    3. Timothy B. Heath & Subimal Chatterjee, 1995. "Asymmetric Decoy Effects on Lower-Quality Versus Higher-Quality Brands: Meta-Analytic and Experimental Evidence," Post-Print hal-00670480, HAL.
    4. Gerard J. Tellis & Birger Wernerfelt, 1987. "Competitive Price and Quality Under Asymmetric Information," Marketing Science, INFORMS, vol. 6(3), pages 240-253.
    5. Johannes Knoll & Jörg Matthes, 2017. "The effectiveness of celebrity endorsements: a meta-analysis," Journal of the Academy of Marketing Science, Springer, vol. 45(1), pages 55-75, January.
    6. Brown, Steven P & Stayman, Douglas M, 1992. "Antecedents and Consequences of Attitude toward the Ad: A Meta-analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(1), pages 34-51, June.
    7. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    8. Christophe Van den Bulte & Stefan Stremersch, 2004. "Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test," Marketing Science, INFORMS, vol. 23(4), pages 530-544, July.
    9. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    10. Wells, William D, 2001. "The Perils of N = 1," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(3), pages 494-498, December.
    11. Peterson, Robert A & Albaum, Gerald & Beltramini, Richard F, 1985. "A Meta-Analysis of Effect Sizes in Consumer Behavior Experiments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(1), pages 97-103, June.
    12. Heath, Timothy B & Chatterjee, Subimal, 1995. "Asymmetric Decoy Effects on Lower-Quality versus Higher-Quality Brands: Meta-analytic and Experimental Evidence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(3), pages 268-284, December.
    13. Puccinelli, Nancy M. & Chandrashekaran, Rajesh & Grewal, Dhruv & Suri, Rajneesh, 2013. "Are Men Seduced by Red? The Effect of Red Versus Black Prices on Price Perceptions," Journal of Retailing, Elsevier, vol. 89(2), pages 115-125.
    14. Tom van Laer & Ko de Ruyter & Luca M. Visconti & Martin Wetzels, 2014. "The Extended Transportation-Imagery Model: A Meta-Analysis of the Antecedents and Consequences of Consumers' Narrative Transportation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(5), pages 797-817.
    15. Peterson, Robert A, 2001. "On the Use of College Students in Social Science Research: Insights from a Second-Order Meta-analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(3), pages 450-461, December.
    16. Fern, Edward F & Monroe, Kent B, 1996. "Effect-Size Estimates: Issues and Problems in Interpretation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(2), pages 89-105, September.
    17. Hunter, John E, 2001. "The Desperate Need for Replications," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 149-158, June.
    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. Freling, Traci H. & Yang, Zhiyong & Saini, Ritesh & Itani, Omar S. & Rashad Abualsamh, Ryan, 2020. "When poignant stories outweigh cold hard facts: A meta-analysis of the anecdotal bias," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 51-67.
    2. Müller, Holger & Benjamin Kroll, Eike & Vogt, Bodo, 2010. "“Fact or artifact? Empirical evidence on the robustness of compromise effects in binding and non-binding choice contextsâ€," Journal of Retailing and Consumer Services, Elsevier, vol. 17(5), pages 441-448.
    3. Lütjens, Henk & Eisenbeiss, Maik & Fiedler, Maximilian & Bijmolt, Tammo, 2022. "Determinants of consumers’ attitudes towards digital advertising – A meta-analytic comparison across time and touchpoints," Journal of Business Research, Elsevier, vol. 153(C), pages 445-466.
    4. Pizzi, Gabriele & Scarpi, Daniele, 2013. "When Out-of-Stock Products DO Backfire: Managing Disclosure Time and Justification Wording," Journal of Retailing, Elsevier, vol. 89(3), pages 352-359.
    5. Raymond J.G.M. Florax & Henri L.F. de Groot & Ruud A. de Mooij, 2002. "Meta-analysis: A Tool for Upgrading Inputs of Macroeconomic Policy Models," Tinbergen Institute Discussion Papers 02-041/3, Tinbergen Institute.
    6. Marcel Lichters & Marko Sarstedt & Bodo Vogt, 2015. "On the practical relevance of the attraction effect: A cautionary note and guidelines for context effect experiments," AMS Review, Springer;Academy of Marketing Science, vol. 5(1), pages 1-19, June.
    7. Peterson, Robert A. & Merunka, Dwight R., 2014. "Convenience samples of college students and research reproducibility," Journal of Business Research, Elsevier, vol. 67(5), pages 1035-1041.
    8. Saha, Sajeeb & Ranjan, Kumar Rakesh & Pappu, Ravi & Akhlaghpour, Saeed, 2023. "Corporate giving and its impact on consumer evaluations: A meta-analysis," Journal of Business Research, Elsevier, vol. 158(C).
    9. Babin, Barry J. & Herrmann, Jean-Luc & Kacha, Mathieu & Babin, Laurie A., 2021. "The effectiveness of brand placements: A meta-analytic synthesis," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 1017-1033.
    10. Maity, Moutusy & Dass, Mayukh & Malhotra, Naresh K., 2014. "The Antecedents and Moderators of Offline Information Search: A Meta-Analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 233-254.
    11. Howard Kunreuther & Erwann Michel-Kerjan, 2015. "Demand for fixed-price multi-year contracts: Experimental evidence from insurance decisions," Journal of Risk and Uncertainty, Springer, vol. 51(2), pages 171-194, October.
    12. Nunnari, Salvatore & Zapal, Jan, 2017. "A Model of Focusing in Political Choice," CEPR Discussion Papers 12407, C.E.P.R. Discussion Papers.
    13. Zhang, Tao & Zhang, David, 2007. "Agent-based simulation of consumer purchase decision-making and the decoy effect," Journal of Business Research, Elsevier, vol. 60(8), pages 912-922, August.
    14. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Consumer Choice," Journal of Political Economy, University of Chicago Press, vol. 121(5), pages 803-843.
    15. Castillo, Geoffrey, 2020. "The attraction effect and its explanations," Games and Economic Behavior, Elsevier, vol. 119(C), pages 123-147.
    16. Davies, Antony & Cline, Thomas W., 2005. "A consumer behavior approach to modeling monopolistic competition," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 797-826, December.
    17. Freling, Traci H. & Vincent, Leslie H. & Henard, David H., 2014. "When not to accentuate the positive: Re-examining valence effects in attribute framing," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(2), pages 95-109.
    18. Li, Feng & Du, Timon C. & Wei, Ying, 2020. "Enhancing supply chain decisions with consumers’ behavioral factors: An illustration of decoy effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    19. Aleti, Torgeir & Pallant, Jason I. & Tuan, Annamaria & van Laer, Tom, 2019. "Tweeting with the Stars: Automated Text Analysis of the Effect of Celebrity Social Media Communications on Consumer Word of Mouth," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 17-32.
    20. Kim, Yeolib & Kim, Seung Hyun & Peterson, Robert A. & Choi, Jeonghye, 2023. "Privacy concern and its consequences: A meta-analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

    More about this item

    Keywords

    Meta-analysis; Integrative review;

    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:spr:joamsc:v:46:y:2018:i:1:d:10.1007_s11747-017-0570-5. 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.springer.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.