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Intelligent Web User Interfaces
This paper investigates the key components of an intelligent web user interface to facilitate online investment as a novel approach to compensating for the impersonality of e-commerce. By analyzing challenges to online brokerage services and evaluating key criteria for a viable intelligence system, we develop a decision tree based intelligent web user interfaces model. The resulting intelligent model is intended to help online shoppers avoid common mistakes by means of implicit reasoning, flexible knowledge granularity, and effective reasoning-by-exception, which is significantly different from the traditional approaches that largely rely on assistance from remote control knowledge engines. One of the key contributions of the intelligent web user interfaces model introduced in this paper is that it provides a heuristic guidance behind the scene for both online shoppers and online stores without extra structural constraints or financial burdens
Customer Relations Management in Information Systems Research
Customer Relations Management (CRM) involves attracting and keeping “Economically Valuable” customers while repelling and eliminating “Economically Invaluable” ones. CRM involves changing relationships and improving return-on-investment from customer relationships (ROI-CR.) We are experiencing a shift from a transaction-based economy to a relationship-based one (Keen 1999.) Two important business relationship types exist: those between enterprises and customers; and those between and among enterprises (Kalakota 1996.) This paper addresses the former. However, a there is a significant amount of research into traditional “Market Channels” (See (Bowersox 1990; Ganesan 1994; Syed Saad 1996; Cannon 1999; Geyskens 1999) for examples) as well as into eCommerce (EC) Market Channels (See (Kim 1999; Menon 1999; Son 1999)) Recent and upcoming scholarship and professional activities illustrate the importance the IS Research Community places on CRM. This paper presents a framework for IS CRM Research Topics, a discussion of IS CRM scholarly and professional research directions and activities