Employee readiness for acceptance of decision support systems as a new technology in E-business environments; A proposed research agenda

Author(s):  
Fawad Ahmed ◽  
Yuanjian Qin ◽  
Maurice Aduamoah
Author(s):  
John Wang ◽  
James Yao ◽  
Qiyang Chen ◽  
Ruben Xing

Since their creation in the early 1960’s, decision support systems (DSSs) have evolved over the past 4 decades and continue to do so today. Although DSSs have grown substantially since its inception, improvements still need to be made. New technology has emerged and will continue to do so and, consequently, DSSs need to keep pace with it. Also, knowledge needs to play a bigger role in the form of decision making. We first discuss design and analysis methods/techniques/issues related to DSSs. Then, the three possible waysto enhance DSSs will be explored.


1979 ◽  
Vol 43 (3) ◽  
pp. 9-26 ◽  
Author(s):  
John D.C. Little

In the past 10 years, a new technology has emerged for assisting and improving marketing decision making. We define a marketing decision support system as a coordinated collection of data, models, analytic tools, and computing power by which an organization gathers information from the environment and turns it into a basis for action. Where such systems have taken root, they have grown and become increasingly productive for their organizations.


2010 ◽  
pp. 483-494
Author(s):  
John Wang ◽  
James Yao ◽  
Qiyang Chen ◽  
Ruben Xing

Since their creation in the early 1960’s, decision support systems (DSSs) have evolved over the past 4 decades and continue to do so today. Although DSSs have grown substantially since its inception, improvements still need to be made. New technology has emerged and will continue to do so and, consequently, DSSs need to keep pace with it. Also, knowledge needs to play a bigger role in the form of decision making. We first discuss design and analysis methods/techniques/issues related to DSSs. Then, the three possible waysto enhance DSSs will be explored.


2011 ◽  
pp. 579-590
Author(s):  
John Wang ◽  
James Yao ◽  
Qiyang Chen ◽  
Ruben Xing

Since their creation in the early 1960’s, decision support systems (DSSs) have evolved over the past 4 decades and continue to do so today. Although DSSs have grown substantially since its inception, improvements still need to be made. New technology has emerged and will continue to do so and, consequently, DSSs need to keep pace with it. Also, knowledge needs to play a bigger role in the form of decision making. We first discuss design and analysis methods/techniques/issues related to DSSs. Then, the three possible waysto enhance DSSs will be explored.


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