Building Capacity in Institutional Research and Decision Support in Higher Education

Abstract This work is an attempt to contribute to the knowledge and guidance of young people (lyceum graduates, higher education students and recent graduates) regarding important issues related to their career and vocational prospects. These issues are related to major relevant questions such as 'what' and 'where' to study, as well as the contents and the prospects of all provided specializations by the departments of Greek institutes of higher education. This article focuses on the analysis and the design of a mobile-based decision support system (DSS) to assist its users in getting thoroughly informed about HE studies in Greece, and eventually in choosing their vocational prospects. An extensive literature and applications review has revealed that there are no such DDS systems, giving to this work an innovative character. The article contains all main elements of system's architecture and design including the essential technical information, presents the main features and representative screenshots of the mobile-based application and comes to conclusions and future suggested work.

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Designing an Institutional Research Management System Framework for Higher Education

2018 International Conference on Information Management and Technology (ICIMTech) ◽

10.1109/icimtech.2018.8528101 ◽

2018 ◽

Author(s):

Noerlina ◽

Siti Elda Hiererra ◽

Bahtiar Saleh Abbas ◽

Brilly Andro Makalew ◽

Desi Maya Kristin ◽

...

Keyword(s):

Higher Education ◽

Management System ◽

Research Management ◽

Institutional Research ◽

System Framework

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The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

International Journal of Business and Management ◽

10.5539/ijbm.v12n1p201 ◽

2016 ◽

Vol 12 (1) ◽

pp. 201

Author(s):

Bilal Mohammed Salem Al-Momani

Keyword(s):

Higher Education ◽

Decision Making ◽

Decision Support ◽

Information Systems ◽

Decision Support Systems ◽

Behavioral Intention ◽

Support Systems ◽

Higher Education Institutions ◽

Quality Of Information

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

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