A Hybrid Framework for Modelling and Simulation for Deshopping Behaviour and How Companies Respond
نویسندگان
چکیده
Deshopping is rapidly turning into a modern day scourge for the retailers due to its prevalence and regularity. The presence of flexible return policies have made retail return management a real challenging issue for both the present and the future. In this paper, we propose a hybrid framework for modelling, simulating and analysing deshopper behavior, company reaction policies, and strategic initiatives for reduce exposure and protect ethical consumer returns. The strengths of the analytic hierarchy process, simulation with animation techniques, expert system approach, intelligent software agent method, and complex adaptive system theory are utilised and combined to deal with the deshopping problem as it occurs in fashion retailers with both online and offline presences. Relevant concepts, theoretical rationale and paradigm are presented and discussed in the paper. Key-Words: deshopping; hybrid intelligent model; simulation; decision support system; logistics; retail marketing; intelligent software agent; expert system
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