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On the impact of analyzing customer information and prioritizing in a service system
Decision Support Systems, 2011This paper examines prioritization in a service system and analyzes whether, in the presence of heterogeneous customers who have different needs and a costly sorting process, it pays to prioritize. In particular, in our model, sorting is costly because the task of gathering information to prioritize jobs consumes resources.
Gregory Dobson, Arvind Sainathan
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Information system technology can improve customer service
ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 1986Creative deployment of information system technologies can lead to new ways to differentiate products and services through customer service, while simultaneously strengthening customer ties.
Gerard P. Learmonth, Blake Ives
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Enterprise information system for customer services excellence
International Journal of Business Performance Management, 2006Companies everywhere are dissolving their boundaries with their suppliers, customers and even rivals. The discrete company is no longer the building block of the modern economy as it is being replaced by 'networks'. Development of supporting systems for network enterprise is difficult but necessary. Customer service is a part of network enterprise, and
Walter W.C. Chung, Joseph Y.P. Lee
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Custom Service Support Management Information System
Applied Mechanics and Materials, 2014In the era of the Internet as the core of globalization the interaction of enterprises, enterprises are faced with a series of thorny issues about how to make social relations resources into corporate sales and development resources. In the past Management strategy is from product-centric to customer-centric.
Huan Zhao, Qiu Hong Wu
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Service Customization Supporting an Adaptive Information System
2004This work approaches the problem of discovering atomic web services that will realize complex business processes in an adaptive information system. It is proposed a model for semantic description of web services and user profile and the design of a semantic recommender engine based on this model.
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