Wireless commerce is viewed as the extension of the Internet-based e-commerce beyond the static terminal of the PC or the Web-TV to the flexible anytime, anywhere, anyplace context of the mobile environment. While many in the industry and popular press seem to equate the world of Internet e-commerce and wireless commerce as one and the same, there are unique characteristics of the wireless technology and its usage that renders it distinctly different from and complementary to Internet based ecommerce. This difference also has important implications for the marketing of good, services, and content and for conducting marketing research using wireless technology. In this paper, we first discuss the unique characteristics of wireless technology and its usage. On the basis of these characteristics, we identify and set out a series of propositions that relate to the issues of marketing and marketing research using wireless technology. In making our arguments, we view how wireless technology's contribution complement the capabilities brought about by Internet based e-commerce. Finally, we outline a marketing research agenda that will allow testing of some of the propositions put forth in the paper.
The facilitation and analytical support of argumentation-based collaborative decision making is the focus of this research. We model collaborative decision making as an argumentation process. We develop a connectionist modeling framework, a network representation formalism for argument structures, connectionist network mechanisms, and their models of computations to extract the behavior of argument structures. We use two examples from the case study literature to illustrate the concepts. Several interesting properties of the connectionist network models are observed from our computational results. We find that although the length of the computation is affected by parametric values, the final activation levels of the units are largely unaffected. We observe that the initial activation levels of the defeasible units seem to have no effect on their final activation levels. The proposed modeling approach generates valuable insights into the characteristics of specific argumentative discussions. While the intention of this work is not to introduce the connectionist paradigm as a means to bring arguments to a closure (resolution), we show that certain resolution mechanisms can be easily implemented under the connectionist framework.
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