What does it take for successful executive information systems?
Decision Support Systems - Special issue on executive information systems
Executive information systems: a study and comparative analysis
Information and Management
Re-engineering the executive: the 4th generation of EIS
Information and Management
Determinates of EIS acceptance
Information and Management
The 3-D model of information systems success: the search for the dependent variable continues
Information Resources Management Journal - Special issue: information systems success measurement
User resistance and strategies for promoting acceptance across system types
Information and Management
Expert versus novice use of the executive support systems: an empirical study
Information and Management
A validation test of an adaptation of the DeLone and McLean's model in the Spanish EIS field
Critical reflections on information systems
A Theoretical Integration of User Satisfaction and Technology Acceptance
Information Systems Research
Informationsmanagement
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
Software Engineering
Design and natural science research on information technology
Decision Support Systems
Design science in information systems research
MIS Quarterly
ACM Transactions on Management Information Systems (TMIS)
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Despite many improvements to IT support for executives, they still complain that executive information systems (EIS) bear little relevance to their management task and fail even more to accommodate their working style This indicates that business issues should more strongly drive requirements for next-generation EIS The article contributes to such an EIS design by systematically developing requirements criteria that are more business driven than the state-of-the-art To do so, requirements lists of EIS, structural models of user satisfaction and technology acceptance are evaluated with criteria derived from the requirements engineering discipline The findings show a dual gap: as the rigor of the models increases, they become less relevant for practice In comparison, the requirements lists demonstrate relevance, but do not evidence strong rigor To bridge this gap, this article applies the principle of economic efficiency to balance scientific rigor with relevance for practice A case demonstrates a first implementation and helps to evaluate the results of this article by using the same criteria as for the state-of-the-art reflection The findings should lead to better next-generation EIS design and should also be applicable to IS in general.