Measuring The Effectiveness Of Project Management Information System In The Decision Making Case Study In PEW Group

Decision making is considered one of the most important factor in the project management area. It has direct effect on the successful or failure the projects. The researchers approved through their studies the using of project management information system is helping the decision makers to make effi...

Full description

Saved in:
Bibliographic Details
Main Author: Tawfeeq, Omar Munaf
Format: Thesis
Language:English
English
Published: 2016
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/20772/1/Measuring%20The%20Effectiveness%20Of%20Project%20Management%20Information%20System%20In%20The%20Decision%20Making%20Case%20Study%20In%20PEW%20Group%20-%20Omar%20Munaf%20Tawfeeq%20-%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/20772/2/Measuring%20The%20Effectiveness%20Of%20Project%20Management%20Information%20System%20In%20The%20Decision%20Making%20Case%20Study%20In%20PEW%20Group%20-%20Omar%20Munaf%20Tawfeeq.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utem-ep.20772
record_format uketd_dc
institution Universiti Teknikal Malaysia Melaka
collection UTeM Repository
language English
English
advisor Kamat, Seri Rahayu

topic T Technology (General)
spellingShingle T Technology (General)
Tawfeeq, Omar Munaf
Measuring The Effectiveness Of Project Management Information System In The Decision Making Case Study In PEW Group
description Decision making is considered one of the most important factor in the project management area. It has direct effect on the successful or failure the projects. The researchers approved through their studies the using of project management information system is helping the decision makers to make efficient decision in the critical situations. By using a survey questionnaire methodology from (148) decision makers of Power Engineering Word in Iraq, this study aimed to theorize new conceptual linkages between two popular paradigms of project management research, project management information system (PMIS) and decision making. This study tested for the pragmatic conceptual linkage between the project management information system and decision making. Using correlation, regression and bootstrapping in SPSS, results revealed that project overload and information overload on decision making, effected and controlled with the mediated role of the project management information systems.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Tawfeeq, Omar Munaf
author_facet Tawfeeq, Omar Munaf
author_sort Tawfeeq, Omar Munaf
title Measuring The Effectiveness Of Project Management Information System In The Decision Making Case Study In PEW Group
title_short Measuring The Effectiveness Of Project Management Information System In The Decision Making Case Study In PEW Group
title_full Measuring The Effectiveness Of Project Management Information System In The Decision Making Case Study In PEW Group
title_fullStr Measuring The Effectiveness Of Project Management Information System In The Decision Making Case Study In PEW Group
title_full_unstemmed Measuring The Effectiveness Of Project Management Information System In The Decision Making Case Study In PEW Group
title_sort measuring the effectiveness of project management information system in the decision making case study in pew group
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty of Manufacturing Engineering
publishDate 2016
url http://eprints.utem.edu.my/id/eprint/20772/1/Measuring%20The%20Effectiveness%20Of%20Project%20Management%20Information%20System%20In%20The%20Decision%20Making%20Case%20Study%20In%20PEW%20Group%20-%20Omar%20Munaf%20Tawfeeq%20-%2024%20Pages.pdf
http://eprints.utem.edu.my/id/eprint/20772/2/Measuring%20The%20Effectiveness%20Of%20Project%20Management%20Information%20System%20In%20The%20Decision%20Making%20Case%20Study%20In%20PEW%20Group%20-%20Omar%20Munaf%20Tawfeeq.pdf
_version_ 1747834002535874560
spelling my-utem-ep.207722021-10-08T16:52:45Z Measuring The Effectiveness Of Project Management Information System In The Decision Making Case Study In PEW Group 2016 Tawfeeq, Omar Munaf T Technology (General) Decision making is considered one of the most important factor in the project management area. It has direct effect on the successful or failure the projects. The researchers approved through their studies the using of project management information system is helping the decision makers to make efficient decision in the critical situations. By using a survey questionnaire methodology from (148) decision makers of Power Engineering Word in Iraq, this study aimed to theorize new conceptual linkages between two popular paradigms of project management research, project management information system (PMIS) and decision making. This study tested for the pragmatic conceptual linkage between the project management information system and decision making. Using correlation, regression and bootstrapping in SPSS, results revealed that project overload and information overload on decision making, effected and controlled with the mediated role of the project management information systems. 2016 Thesis http://eprints.utem.edu.my/id/eprint/20772/ http://eprints.utem.edu.my/id/eprint/20772/1/Measuring%20The%20Effectiveness%20Of%20Project%20Management%20Information%20System%20In%20The%20Decision%20Making%20Case%20Study%20In%20PEW%20Group%20-%20Omar%20Munaf%20Tawfeeq%20-%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/20772/2/Measuring%20The%20Effectiveness%20Of%20Project%20Management%20Information%20System%20In%20The%20Decision%20Making%20Case%20Study%20In%20PEW%20Group%20-%20Omar%20Munaf%20Tawfeeq.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=104949 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Manufacturing Engineering Kamat, Seri Rahayu 1. Abbas, M., Raja, U., Darr, W., & Bouckenooghe, D. (2014). Combined effects of perceived politics and psychological capital on job satisfaction, turnover intentions, and performance. Journal of management, 40(7), 1813-1830. 2. Ahmed, M. T., & Omotunde, H. Theories And Strategies of Good Decision Making. 3. Aliaga, M., & Gunderson, B. (2000). Introduction to Quantitative research. Management Journal, 37(4), 15. 4. Avots, I. (1969). Why does project management fail? California Management Review (pre- 1986), 12(000001), 77. 5. Blichfeldt, B. S., & Eskerod, P. (2008). Project portfolio management–There’s more to it than what management enacts. International Journal of Project Management, 26(4), 357- 365. 6. Borel, É. (1914). Le hasard: Paris. 7. Caniëls, M. C., & Bakens, R. J. (2012). The effects of Project Management Information Systems on decision making in a multi project environment. International Journal of Project Management, 30(2), 162-175. 8. Cicmil, S., Williams, T., Thomas, J., & Hodgson, D. (2006). Rethinking project management: researching the actuality of projects. International Journal of Project Management, 24(8), 675-686. 9. Cooper, D. R., & Schindler, P. S. (2003). Business research methods. 10. Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1), 98. 11. Crawford, L., Hobbs, J. B., & Turner, J. R. (2006). Aligning capability with strategy: Categorizing projects to do the right projects and to do them right. Project Management Journal, 37(2), 38-50. 12. D'Ortenzio, C. (2012). Understanding Change and Change Management Processes: A Case Study: University of Canberra. 13. Drewery-Brown, E. E. (2010). Survey of project management officers: Analysis of project performance information received, impact on decision making and project completion success or failure. CAPELLA UNIVERSITY. 14. Efron, B. , Tibshirani, R. J. 2014. An introduction to the bootstrap, CRC press. 15. Flyvbjerg, B., Garbuio, M., & Lovallo, D. (2009). Delusion and deception in large infrastructure projects: two models for explaining and preventing executive disaster. California management review, 51(2), 170-193. 16. Gantt, H. L. (1910). Work, wages, and profits: their influence on the cost of living: Engineering magazine. 17. Gibbons, J. D., & Chakraborti, S. (2011). Nonparametric statistical inference: Springer. 18. Gray, T. W., & Kraenzle, C. A. (1998). Member participation in agricultural cooperatives: A regression and scale analysis: United States Department of Agriculture, Rural Development, Rural Business-Cooperative Service. 19. Grover, F. L., Shroyer, A. L. W., Hammermeister, K., Edwards, F. H., Ferguson Jr, T. B., Dziuban Jr, S. W., . . . McDonald, G. (2001). A decade’s experience with quality improvement in cardiac surgery using the Veterans Affairs and Society of Thoracic Surgeons national databases. Annals of surgery, 234(4), 464. 20. Harris, R. (2014). Introduction to decision making, Part 1: VirtualSalt. 21. Hochdorfer, T., & Bjarnason, G. (2007). Project Overload in Project Based Organizations- Causes, Symptoms and Effects: A study of Project Members and their Projects. 22. Hughes, A. (2012). The UK R&D Landscsape. 23. Jam, F. A., Sheikh, R. A., Iqbal, H., Zaidi, B. H., Anis, Y., & Muzaffar, M. (2011). Combined effects of perception of politics and political skill on employee job outcomes. African journal of business management, 5(23), 9896-9904. 24. Jarocki, T. (2011). The next evolution-enhancing and unifying project and change management. San Francisco: Brown and Williams. 25. Kimball, R., & Ross, M. (2011). The data warehouse toolkit: the complete guide to dimensional modeling: John Wiley & Sons. 26. Kreiner, K. (1992). The postmodern epoch of organization theory. International Studies of Management & Organization, 37-52. 27. Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. 28. Educ Psychol Meas. 29. Lederer, A. L., & Sethi, V. (1996). Key prescriptions for strategic information systems planning. Journal of Management Information Systems, 35-62. 30. Levin, M. (2015). Ethnicity and Aboriginality: case studies in ethnonationalism: University of Toronto Press. 31. Liberatore, M. J., & Pollack-Johnson, B. (2003). Factors influencing the usage and selection of project management software. Engineering Management, IEEE Transactions on, 50(2), 164-174. 32. Mindtools.com, (2015). Mind Tools: Online Management, Leadership and Career Training. [online] Available at: https://www.mindtools.com/ [Accessed 21 Jul. 2015]. 33. Neuman, W. L., & Kreuger, L. (2003). Social work research methods: Qualitative and quantitative approaches: Allyn and Bacon. 34. Nunnally, J. C., & Bernstein, I. (1994). The assessment of reliability. Psychometric theory, 3, 248-292. 35. O'Reilly, C. A. (1980). Individuals and information overload in organizations: is more necessarily better? Academy of management journal, 23(4), 684-696. 36. Panneerselvam, R. (2004). Research methodology: PHI Learning Pvt. Ltd. 37. Parker, D., Charlton, J., Ribeiro, A., & D. Pathak, R. (2013). Integration of project-based management and change management: Intervention methodology. International Journal of Productivity and Performance Management, 62(5), 534-544. 38. Patanakul, P., & Milosevic, D. (2008). A competency model for effectiveness in managing multiple projects. The Journal of High Technology Management Research, 18(2), 118-131. 39. Pearson, K. (1894). Contributions to the mathematical theory of evolution. Philosophical Transactions of the Royal Society of London. A, 71-110. 40. Phillips, J. J., Bothell, T. W., & Snead, G. L. (2002). The project management scorecard: Measuring the success of project management solutions: Routledge. 41. PMI, A. (2004). PMI 99-001-2004,“. A Guide to the Project Management Body of Knowledge (PMBOK guide)”. 42. Podsakoff, P. M., MacKenzie, S. B., Paine, J. B., & Bachrach, D. G. (2000). Organizational citizenship behaviors: A critical review of the theoretical and empirical literature and suggestions for future research. Journal of management, 26(3), 513-563. 43. Raymond, L., & Bergeron, F. (2008). Project management information systems: An empirical study of their impact on project managers and project success. International Journal of Project Management, 26(2), 213-220. 44. Ridings, C. M., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. The Journal of Strategic Information Systems, 11(3), 271-295. 45. Saeed, K. A., & Abdinnour-Helm, S. (2008). Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems. Information & Management, 45(6), 376-386. 46. Sharman, C. (1998). The Senate and good government. Occasional Address, The Senate, 11th December. 47. Souter, V. L., Kapur, R. P., Nyholt, D. R., Skogerboe, K., Myerson, D., Ton, C. C., . . . Montgomery, G. W. (2003). A report of dizygous monochorionic twins. New England Journal of Medicine, 349(2), 154-158. 48. Tuition.com, (2015). Tuition News and Resources | Tuition.com. [online] Available at: http://www.tuition.com/ [Accessed 10 Aug. 2015]. 49. Varian, H. 2014. Bootstrap tutorial. Mathematica Journal, 9, 768-775. 50. Weyer, B. (2011). Perspectives on optimism within the context of project management: A call for multilevel research: Working Papers of the Institute of Management Berlin at the Berlin School of Economics and Law (HWR Berlin). 51. Winch, G. M., & Kreiner, K. (2009). Future perfect strategising on major projects. Paper presented at the The 9th European Academy of Management Conference (EURAM) 2009.