Triple Sense-Making of Findings from Marketing Experiments Using the Dominant Variable Based-Logic, Case-Based Logic, and Isomorphic Modeling
AbstractThe study describes the complementary benefits of model-building and data analysis using algorithm and statistical modeling methods in the context of unobtrusive marketing field experiments and in transforming findings into isomorphic management models. Relevant for marketing performance measurement, case-based configural analysis is a relatively new paradigm in crafting and testing theory. Statistical testing of hypotheses to learn net effects of individual terms in multiple regression analysis is the current dominant logic. Isomorphic modeling might best communicate what executives should decide using the findings from algorithm and statistical models. We test these propositions using data from an unobtrusive field experiment in a retailing context that includes two levels of expertise, four price-points, and presence versus absence of a friend (¡§pal¡¨ condition) during the customer-salesperson interactions (n=240 store customers). The analyses support the conclusion that all three approaches to modeling provide useful complementary information substantially above the use of one alone and that transforming findings from such models into isomorphic management models is possible.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan in its journal International Journal of Business and Economics.
Volume (Year): 12 (2013)
Issue (Month): 2 (December)
configural analysis; field experiment; fuzzy set qualitative comparative analysis; multiple regression analysis; isomorphic management model;
Find related papers by JEL classification:
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- John List, 2006.
"The behavioralist meets the market: Measuring social preferences and reputation effects in actual transactions,"
Natural Field Experiments
00300, The Field Experiments Website.
- John A. List, 2006. "The Behavioralist Meets the Market: Measuring Social Preferences and Reputation Effects in Actual Transactions," Journal of Political Economy, University of Chicago Press, vol. 114(1), pages 1-37, February.
- John A. List, 2005. "The Behavioralist Meets the Market: Measuring Social Preferences and Reputation Effects in Actual Transactions," NBER Working Papers 11616, National Bureau of Economic Research, Inc.
- Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
- Woodside, Arch G & Davenport, J William, Jr, 1976. "Effects of Price and Salesman Expertise on Customer Purchasing Behavior," The Journal of Business, University of Chicago Press, vol. 49(1), pages 51-59, January.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Yi-Ju Su).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.