IDEAS home Printed from https://ideas.repec.org/a/ibn/ijbmjn/v12y2016i1p201.html
   My bibliography  Save this article

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”

Author

Listed:
  • Bilal Al-Momani

Abstract

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.

Suggested Citation

  • Bilal Al-Momani, 2016. "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 Edu," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(1), pages 201-201, December.
  • Handle: RePEc:ibn:ijbmjn:v:12:y:2016:i:1:p:201
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/download/64224/35328
    Download Restriction: no

    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/view/64224
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bresfelean, Vasile Paul & Ghisoiu, Nicolae, 2009. "Higher education decision making and decision support systems," MPRA Paper 26698, University Library of Munich, Germany.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    3. Marko Bohanec, 2009. "Decision Making: A Computer-Science and Information-Technology Viewpoint," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 7(2), pages 22-37.
    4. Ion ISTUDOR & Luminita DUTA, 2010. "Web-Based Group Decision Support System: an Economic Application," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 14(1), pages 191-200.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    2. Aixia Li & A. Y. M. Atiquil Islam & Xiaoqing Gu, 2021. "Factors Engaging College Students in Online Learning: An Investigation of Learning Stickiness," SAGE Open, , vol. 11(4), pages 21582440211, November.
    3. Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    4. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    5. Li, Chia-Ying & Fang, Yu-Hui, 2020. "I searched, I collected, I experienced: Exploring how mobile augmented reality makes the players go," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    6. Suzy Jagger & Haytham Siala & Diane Sloan, 2016. "It's All in the Game: A 3D Learning Model for Business Ethics," Journal of Business Ethics, Springer, vol. 137(2), pages 383-403, August.
    7. Shahla Asadi & Mehrbakhsh Nilashi & Abd Razak Che Husin & Elaheh Yadegaridehkordi, 2017. "Customers perspectives on adoption of cloud computing in banking sector," Information Technology and Management, Springer, vol. 18(4), pages 305-330, December.
    8. McLean, Graeme & Osei-Frimpong, Kofi, 2019. "Chat now… Examining the variables influencing the use of online live chat," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 55-67.
    9. Jan C Zoellick & Adelheid Kuhlmey & Liane Schenk & Stefan Blüher, 2021. "Method-oriented systematic review on the simple scale for acceptance measurement in advanced transport telematics," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-25, March.
    10. Phillip C. James, 2021. "What Determines Student Satisfaction in an E-learning Environment? A Comprehensive Literature Review of Key Success Factors," Higher Education Studies, Canadian Center of Science and Education, vol. 11(3), pages 1-1, August.
    11. Dalal Bamufleh & Amani Saud Alshamari & Asrar Saud Alsobhi & Hanan Hisham Ezzi & Waad Sultan Alruhaili, 2021. "Exploring Public Attitudes toward E-Government Health Applications Used During the COVID-19 Pandemic: Evidence from Saudi Arabia," Computer and Information Science, Canadian Center of Science and Education, vol. 14(3), pages 1-1, August.
    12. Bong Keun Jeong & Tom E Yoon, 2013. "An Empirical Investigation on Consumer Acceptance of Mobile Banking Services," Business and Management Research, Business and Management Research, Sciedu Press, vol. 2(1), pages 31-40, March.
    13. Mohammad Hasan Galib & Khalid Ait Hammou & Jennifer Steiger, 2018. "Predicting Consumer Behavior: An Extension of Technology Acceptance Model," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(3), pages 1-73, August.
    14. Federico Iannacci & Colm Fearon & Kristine Pole, 2021. "From Acceptance to Adaptive Acceptance of Social Media Policy Change: a Set-Theoretic Analysis of B2B SMEs," Information Systems Frontiers, Springer, vol. 23(3), pages 663-680, June.
    15. Shahla Asadi & Mehrbakhsh Nilashi & Abd Razak Che Husin & Elaheh Yadegaridehkordi, 0. "Customers perspectives on adoption of cloud computing in banking sector," Information Technology and Management, Springer, vol. 0, pages 1-26.
    16. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    17. Rahman, Shaikh Moksadur, 2020. "Relationship between Job Satisfaction and Turnover Intention: Evidence from Bangladesh," Asian Business Review, Asian Business Consortium, vol. 10(2), pages 99-108.
    18. Wang Kai, 2019. "Towards a Taxonomy of Idea Generation Techniques," Foundations of Management, Sciendo, vol. 11(1), pages 65-80, January.
    19. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    20. Awni Rawashdeh, 2013. "Study Toward The Understanding Of Behavioral Intention To Use A Customer Relationship Management (Crm) Systems," Far East Journal of Psychology and Business, Far East Research Centre, vol. 12(1), pages 1-11, September.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:ijbmjn:v:12:y:2016:i:1:p:201. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.