The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Decision Making Support Systems: Achievements, Challenges and Opportunities
Abstract
Previous chapters have described the state of the art in decision making support systems (DMSS). This chapter synthesizes the views of leading scientists concerning the achievements of DMSS and the future challenges and opportunities. According to the experts, DMSS will be technologically more integrated, offer broader and deeper support for decision making, and provide a much wider array of applications. In the process, new information and computer technologies will be necessitated, the decision makers’ jobs will change, and new organizational structures will emerge to meet the changes. The changes will not occur without displacements of old technologies and old work paradigms. In particular, there will be an evolution toward team-based decision making paradigms. Although the evolution can require significant investments, the organizational benefits from successful DMSS deployments can be significant and substantial. Researchers and practitioners are encouraged to collaborate in their effort to further enhance the theoretical and pragmatic developments of DMSS.
Related Content
|
Yu Bin, Xiao Zeyu, Dai Yinglong.
© 2024.
34 pages.
|
|
Liyin Wang, Yuting Cheng, Xueqing Fan, Anna Wang, Hansen Zhao.
© 2024.
21 pages.
|
|
Tao Zhang, Zaifa Xue, Zesheng Huo.
© 2024.
32 pages.
|
|
Dharmesh Dhabliya, Vivek Veeraiah, Sukhvinder Singh Dari, Jambi Ratna Raja Kumar, Ritika Dhabliya, Sabyasachi Pramanik, Ankur Gupta.
© 2024.
22 pages.
|
|
Yi Xu.
© 2024.
37 pages.
|
|
Chunmao Jiang.
© 2024.
22 pages.
|
|
Hatice Kübra Özensel, Burak Efe.
© 2024.
23 pages.
|
|
|