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A non-linear causal network of marketing channel system structure
Institution:1. Department of Marketing Fairfield University Fairfield, CT 06825, USA;2. Department of Marketing and Finance Frostburg State University, Frostburg, MD 21532, USA;1. Marketing Department, Groupe ESC Troyes, 217 Avenue Pierre Brossolette, BP 710, 10002 TROYES Cedex, France;2. Marketing Department, Kedge Business School, 680 Cours de la libération, 33405 Talence Cedex, France;3. Marketing Department, Groupe INSEEC, France;1. International Retailing Center; Behavioral Sciences Research Center, NEOMA Business School, 59 rue Pierre Taittinger, Reims 51100, France;2. Chair of Commercial Space and Customer Service Management, HEC Montréal, 3000 Chemin de la Côte-Sainte-Catherine, Montréal, Canada QC H3T 2A7;1. University of Orléans, VALLOREM Lab, Orléans, France;2. University of Lille 2 (Institute of Retail Marketing and Management—IMMD), The LSMRC Lab (Université de Lille-Skema Business School), Roubaix, France;1. Department of Economics, University of Alberta Edmonton, Alberta, Canada T6G 2H4;2. Department of Economics, University of Waterloo, Ontario, Canada N2L 3G1
Abstract:This article takes a systems perspective to study marketing channel system structure dynamics and their interactions with economic system dynamics. A novel, non-linear method from ecology is used to establish a causal network of mostly bi-directional causal forcing between economic variables and marketing channel system structure. This resulting causal network facilitates a comprehensive understanding of a marketing channel system. The study finds a highly endogenous and non-linearly interrelated subsystem encompassing online/offline retail channel structure, retail/wholesale channel structure, the ratio of import to consumption and the competitive dynamics of the economic system. Surprisingly, marketing channel system structure is rather resilient to changes in economic growth. In contrast, changes in retail/wholesale channel structure affect economic growth. The results may help to caution marketing managers changing their marketing channel structures too routinely. Moreover, the identified causal network presents a starting point for further empirical marketing channel system analyses. Implications particularly affect future empirical marketing channel system studies based on linear structural models.
Keywords:Marketing channel systems  Marketing channel system structure  Economic interactions  Causality  Non-linear methods
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