---------- Forwarded Message ---------- Subject: JECR Special Issue: Service Operations Management in E-Commerce Date: Tue, 11 Sep 2001 11:12:31 -0700 From: "Melody Kiang, Ph.D." mkiang@CSULB.EDU To: ISWORLD@LISTSERV.HEANET.IE

Dear Colleagues,

On behalf of the the Journal of Electronic Commerce Research, I am happy to announce that Vol. 2, Number 3, 2001 issue of JECR is now available at the journal's improved web site at: "http://www.csulb.edu/journal".

Journal of Electronic Commerce Research Special Issue: Service Operations Management in E-Commerce

The August 2001 issue of Journal of electronic commerce is a special issue for service operations management in e-commerce. Post-industrial society is a service society. Information revolution has given the concept of service a new meaning in a virtual world. This new service concept is realized in today¡¦s electronic commerce. Recently, many have started to incorporate what we have learned from service operation management into the world of electronic commerce. The two articles included in the JECR August 2001 issue represent this trend.

The first paper in this issue, ¡§An Instrument for Measuring Customer Satisfaction Toward Web Sites that Market Digital Products and Services,¡¨ contributes to the research community by proposing a well-validated instrument to measure customer satisfaction in the context of e-commerce. The authors have carefully created the instrument from a detailed literature review. Then, the instrument has been through two-stage empirical testing to establish reliability and validity. Their efforts have provided foundations for other e-commerce satisfaction studies.

The second paper titled ¡§Towards Data Mining Services on the Internet with a Multiple Service Provider Model: An XML Based Approach¡¨ proposes a novel way and the means of delivering service in e-commerce. The authors present a new multiple service provider model of operation for the Internet delivery of data mining services. This model has several advantages over the currently predominant approach for delivering data mining, services such as providing clients with a wider variety of options, choice of service providers and the benefits of a more competitive marketplace. From a technical perspective, the authors have developed XML DTD¡¦s to support the interaction protocols for the multiple service provider model including: specification of the task preferences of clients, specification of the functionality of data mining service providers and the exchange of information to access data and computational resources to perform the task.

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