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Necessary condition analysis in marketing research

Dul, J. and Hauff, S. and Tóth, Z. (2021) 'Necessary condition analysis in marketing research.', in Handbook of Research Methods for Marketing Management. , pp. 51-72. Handbooks of Research Methods in Management.

Abstract

Necessary condition analysis (NCA) is a new approach and analysis technique for identifying necessary conditions. Necessary conditions represent constraints, bottlenecks, or critical factors that cannot be compensated by other factors. This logic differs from additive logic implied in conventional methods (e.g. regression, or structural equation modelling) where contributing factors add up to produce an outcome. In contrast to these methods, NCA does not try to predict the presence of an outcome, but the absence of an outcome instead. Therewith, NCA provides a different view on theory, methodology and practical relevance. We introduce NCA and discuss its applications into marketing management. For example, we highlight how NCA can help the research on developing marketing strategies, planning, advertising, and sales by exploring conditions without which these outcomes cannot occur. In particular, we will elaborate on the underlying logic of necessary conditions, describe the basics of NCA and show how it can be applied to identify necessary conditions of relevant marketing phenomena.

Item Type:Book chapter
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.4337/9781788976954.00008
Publisher statement:This is a draft chapter/article. The final version is available in Handbook of Research Methods for Marketing Management edited by Robin Nunkoo, Viraiyan Teeroovengadum and Christian M. Ringle, published in 2021, Edward Elgar Publishing Ltd https://doi.org/10.4337/9781788976954.00008 The material cannot be used for any other purpose without further permission of the publisher, and is for private use only.
Date accepted:No date available
Date deposited:24 November 2021
Date of first online publication:22 October 2021
Date first made open access:22 April 2022

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