scholarly journals 15 Years of Information System Design Science Research: A Bibliographic Analysis

Author(s):  
Amandine Pascal ◽  
Alexandre Renaud
2020 ◽  
Author(s):  
Irawan Nurhas

Advances in human-centered design require researchers to integrate user preferences into system design. Therefore, we propose to support the concurrent validation of design science research by using the Q-methodology.


2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Dennis M. Riehle ◽  
Stefan Fleischer ◽  
Jörg Becker

Design science research is a common research method in the field of information systems (IS), as it bridges the gap between IS research and practice. The outcome of design science research are artifacts, which – besides others –can be prototypical applications, so-called IT artifacts. When such IT artifacts are evaluated as part of a design science research cycle, questionnaires and inter- views are a commonly used method. We have integrated the demonstration and evaluation phase of a web-based IT artifact, by developing a web-based infor- mation system which integrates both a web-based prototype with a questionnaire system. Our information system supports multiple studies, different versions of the IT artifact and several question-specific and participant-specific configura- tion options.


2020 ◽  
Vol 2 (1) ◽  
pp. 1-11
Author(s):  
Reza Andrian

Providing Additional Employee Income (TPP) is a refinement of existing benefits and will bea specific allowance to boost performance and at the same time guarantee fairness in theprovision of benefits. Lately, there has been a decline in the percentage of service quality levelsto the community and staffing administration services. This is due to the slow acceptance ofTPP to the employees, causing disciplinary and demotivation to the employees. Not only that,there are many other factors that influence this delay, especially concerning the incompletesupporting documents, errors in calculations and the absence of regulations regarding theimplementation of performance allowances in each agency. Therefore, to help solve existingproblems, an information system design is needed that can help to make it easier to determineTPP by using the Design Science Research method. From the results of testing the TechnologyAcceptance Model (TAM) hypothesis states that the system that has been made is acceptableand the influence of user convenience, usability and attitude variables has an influence of92.5% and from the results of testing the success of the system using the DeLone and McLeanmodel 9 hypotheses submitted 7 hypotheses proven significantly, the test results prove thatService Quality does not have a positive effect on User Satisfaction and User Satisfaction doesnot have a positive effect on the System Benefit (Net Benefit) while other variables are testedsignificant in measuring the success of users system, so the model is stated to be appropriatein representing the results of the study


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