A new DSS based on situation awareness for smart commerce environments

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• 作者：Giuseppe D′Aniello ; Angelo Gaeta…
• 关键词：Situation awareness ; DSS ; Smart commerce
• 刊名：Journal of Ambient Intelligence and Humanized Computing
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：7
• 期：1
• 页码：47-61
• 全文大小：2,001 KB
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• 作者单位：Giuseppe D′Aniello (1) (2)
  Angelo Gaeta (1)
  Matteo Gaeta (1)
  Mario Lepore (2)
  Francesco Orciuoli (3)
  Orlando Troisi (4)
  
  1. Dipartimento di Ingegneria dell’Informazione, Ingegneria Elettrica e Matematica Applicata, Univerisità degli Studi di Salerno, via Giovanni Paolo II, 132, 84084, Fisciano, Italy
  2. Co.Ri.Sa. (Consorzio di Ricerca Sistemi ad Agenti), Univerisità degli Studi di Salerno, via Giovanni Paolo II, 132, 84084, Fisciano, Italy
  3. Dipartimento di Informatica, Univerisità degli Studi di Salerno, via Giovanni Paolo II, 132, 84084, Fisciano, Italy
  4. Dipartimento di Studi e Ricerche Aziendali, Univerisità degli Studi di Salerno, via Giovanni Paolo II, 132, 84084, Fisciano, Italy
  
• 刊物类别：Engineering
• 刊物主题：Computational Intelligence
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1868-5145

文摘

Real time adaptation of marketing strategies and actions in smart commerce environments, such as shops and malls, is an open challenge with a tremendous impact for the survival of traditional retailers. A main issue of traditional retailers, in comparison with e-commerce shops, is that they usually rely on analysis of point-of-sales data after purchase and/or focus groups and self-reports where customers are asked about what they like or want. This techniques, even if solid grounded to marketing and consumer research, do not allow analysis of data and decision making in real time, i.e., when consumers are inside a shop. In this paper we present our results on the definition and validation of a decision support system for real time decision making on discount and promotion actions. The system makes decision on the basis of recognition and assessment of situations of interest for the consumers, modelled with heuristics related to behavioural economics results. We validated our solution in a virtual shop simulated with V-REP, demonstrating its capabilities to adapt with regards to the changes in the environments, in terms of sensors, people, products, and different situations. Keywords Situation awareness DSS Smart commerce