Decision Support Systems（DSS ）的VOLUME 52, ISSUE 2论文列表

卷期号： Volume 52, Issue 2

发布时间： January 2012

卷期年份： 2012

卷期官网： https://www.sciencedirect.com/journal/decision-support-systems/vol/52/issue/2

Editorial Board

From data to global generalized knowledge

Sustainable competitive advantage of a system goods innovator in a market with network effects and entry threats

Emergency management information systems: Could decision makers be supported in choosing display formats?

Design of an information volatility measure for health care decision making

Decision-making in-socio and in-situ: Facilitation in virtual worlds

Fighting identity theft: The coping perspective

Open source software success: Measures and analysis

Optimal decision making for online referral marketing

Design of online auctions: Proxy versus non-proxy settings

An exploration of risk information search via a search engine: Queries and clicks in healthcare and information security

Relationship bonding for a better knowledge transfer climate: An ERP implementation research

The effect of pre- and post-service performance on consumer evaluation of online retailers

Dynamic search engine competition with a knowledge-sharing service

Systematic analysis of centralized online reputation systems

Understanding of website usability: Specifying and measuring constructs and their relationships

Comparative analysis of data mining methods for bankruptcy prediction

Using the balanced scorecard in assessing the performance of e-SCM diffusion: A multi-stage perspective

Factors influencing business intelligence (BI) data collection strategies: An empirical investigation

Can reduced processing decision support interfaces improve the decision-making of less-experienced incident commanders?

udpSkeduler: A Web architecture based decision support system for course and classroom scheduling

A personalized route recommendation service for theme parks using RFID information and tourist behavior

Network optimization in supply chain: A KBGA approach

Multistage classification by using logistic regression and neural networks for assessment of financial condition of company