IMPACT OF TECHNICAL FACTORS ON THE QUALITY OF INFORMATION SYSTEM DEVELOPMENT FOR DECISION-MAKING AND USER USE

Article Sidebar

PDF (Español (España))
Published: Jan 1, 2005
DOI: https://doi.org/10.35426/IAv34n95.04
Keywords:
Programmer, IT, Data Source, System Use, Decision Making

Main Article Content

José Melchor Medina Quintero
Autonomous University of Tamaulipas, Mexico
Julián Chaparro Peláez
Polytechnic University of Madrid, Spain

Abstract

This research analyzes the impact of some technical factors (Programmer Skills, Data Source and Technology Infrastructure) in the quality of development and operation of the information systems for the Decision Making and System Use by the user, based on a research model designed for this aim. The empirical study is carried out in six Higher Education Institutions in the northeast of Mexico (94 questionnaires) by means of a statistical tool known as Partial Least Squares. The results show that Programmer Skills and Information Quality are the elements with most impact, mainly in the Decision Making (60% of explained variance).

Article Details

Issue
Vol. 34 No. 95 (2005): Journal 95
Section
Publicados
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Author Biographies

José Melchor Medina Quintero, Autonomous University of Tamaulipas, Mexico

Autonomous University of Tamaulipas U.A.M. of Commerce and Administration - Victoria

Julián Chaparro Peláez, Polytechnic University of Madrid, Spain

Polytechnic University of Madrid University of Telecommunications Engineering

References

Álvarez, R. (2001). It Was a Great System: Face-work and the Discursive Construction of Technology During Information System Development. Information Technology & People (14:4), pp. 385-405.

Auer, T; M. Rouhonen (1997). Analysing the Quality of IS Use and Management in the Organizational Context: Experiences from Two Cases. Information Resources Management Journal (10:3), pp. 18-27.

Azari, R.; J.B. Pick (2005). Technology and Society: Socioeconomic Influences on Technological Sectors for United Sates Countries. International Journal of Information Management (25:1), pp. 21-37.

Bajaj, A.; S.R. Nidumolu (1998). A Feedback Model to Understand Information System Usage. Information & Management (33:4),

pp. 213-224.

Ballou, D.; R. Wang; H. Pazer; G.K. Tayi (1998). Modeling Information Manufacturing Systems to Determine Information Product Quality. Management Science (44:4), pp. 462-484.

Balsamo, S.; A. Di Marco; P Inverardi; M. Simeón (2004). Model-Based Performance Prediction in Software Development: A Survey. IEEE Transactions on Software Engineering (30:5), pp. 295-310.

Barclay, D.; C. Higgins; R. Thompson (1995). The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration. Technology Studies, Special Issue on Research Methodology (2:2), pp. 285-309.

Bennatan, E.M. (2000). On Time Within Budget. Software Management Practices and Techniques, John Wiley and Sons Inc. Editorial. Third Edition, U.S.A.

Boon, O.; C. Wilkin; B. Corbitt (2003). Towards a Broader Bases IS Success Model

- Integrating Critical Success Factors and the DeLone and McLean’s IS Success Model. SWP 2003/10, Faculty of Business and Law. University Deakin. Australia.

Brynjolfsson, E.; L. Hitt (1995). The Productive Keep Producing - Successful Companies Support Good Business Plans with Bight Information Technologies. Information Week. Pág. 18. Cepeda, C.G.; J.L. Roldán (2004). Aplicando en la Práctica la Técnica PLS en la Administración de Empresas. Presentado en ACEDE 2004. Murcia, España, Septiembre 19-21.

Chin, W.W. (1998). Issues and Opinion on Structural Equation Modeling. MIS Quarterly (22:1), pp. vii-xvi

Chow, T.S. (1985). Software Ouality: Definitions, Measurements and Applications. Tutorial on Software Ouality Assurance: A Practical Approach. Silver Spring, MD: IEEE Computer Society Press, pp. 13-20.

Connolly, T; B. Thorn (1987). Predecisional Information Acquisition: Effects of Task Variables on Suboptimal Search Strategies. Organizational Behavior and Human Decision Processes (39:3), pp. 397-417.

Cornelia, A. (1994). Los Recursos de Información. Ventaja Competitiva de las Empresas, McGraw- Hill Editorial, Madrid, España.

Dalcher, D. (2004). Stories and Histories: Case Study Research (and Beyond) in Information Systems Failures. En: Michael E. Whitman and Amy B. Woszczynski (Eds.), The Handbook of Information Systems Research, Idea Group Publishing. Hershey, PA. U.S.A., pp. 305-322.

Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly (13:3), pp. 319-340.

Hamill, J.T.; R.F. Deckro; J.M. Kloeber Jr. (2005). Evaluating Information Assurance Strategies. Decision Support Systems (39:3), pp. 463-484. Harter,

D.E.; M.S. Krishnan; S.A. Slaughter (2000). Effects of Process Maturity on Quality, Cycle Time, and Effort in Software Product Development. Management Science (46:4), pp. 451-466.

Hartwick, J.; H. Barki (1994). Explaining the Pole of User Participation in Information Systems Use. Management Science (40:4), pp. 440-465.

Herndon, M.A.; R. Moore; M. Phillips; J. Walker and L. West (2003). Interpreting Capability Maturity Model Integration (CMMI) for Service Organizations - a Systems Engineering and Integration Services Example. Software Engineering Process Management. Software Engineering Institute.

Huber, G.P.; R.R. McDaniel (1989). The Decision- Making Paradigm of Organizational Design. Management Science (32:5), pp. 572-589.

Hull, M.E.C.; PS. Taylor; J.R.P. Hanna; R.J. Millar (2002). Software Development Processes - An Assessment. Information and Software Technology (44:1), pp. 1-12.

Igbaria, M.; T. Guimaraes; G.B. Davis (1995). Testing the Determinants of Microcomputer Usage via a Structural Equation Model. Journal of Management Information Systems (11:4), pp. 87-114.

Ives, B.; M.H. Olson; J.J. Baroudi (1983). The Measurement of User Information Satisfaction. Communications of the ACM (26:10), pp. 785-793.

Jiang, J.J.; G. Klein; J. Roan; J.T.M. Un (2001).

IS Service Performance: Self-Perceptions and User Perceptions. Information & Management (38:8), pp. 499-506.

Juran, J.M.; A.B. Godfrey (1999). Juran’s Quality Handbook, 5th Edition. McGraw Hill, New York, U.S.A.

Kahn, B.K.; D.M. Strong; R.Y. Wang (2002). Information Quality Benchmarks: Product and Service Performance. Communications of the ACM (45:4), pp. 184-192.

Straub, D.; C. Carlson (1989). Validating Instrument in MIS Research. MIS Quarterly (13:2), pp. 147-169.

Straub, D.; M. Limayem; E. Karahanna-Evaristo (1995). Measuring System Usage: Implications for IS Theory Testing. Management Science (41:8), pp. 1328-1342.

Teng, J.T.C.; K.J. Calhoun (1996). Organizational Computing as a Facilitator for Operational and Managerial Decision Making: An Exploratory Study of Managers’ Perceptions. Decision Sciences (27:4), pp. 673-710.

Tetzeli, R. (1994). Surviving Information Overload. Fortune. July 11, pp. 60-64.

Tzu-Chuan, C.; R.G. Dyson; PL. Powell (1998). An Empirical Study of the Impact of Information

Technology Intensity in Strategic Investment Decisions. Technology Analysis & Strategic Management (10:3), pp. 325-339.

Watson, R.T.; L.F. Pitt; C.B. Kavan (1998). Measuring Information Systems: Lessons from Two Longitudinal Case Studies. MIS Quarterly (22:1), pp. 61-79.

Wilkin, C.; B. Hewett; R. Carr (2004). Exploring the Role of Expectations in Defining Stakeholders’ Evaluations of IS Quality. En: Wim van Grembergen (Ed./ Information Systems Evaluation Management, pp. 231-243.

IRM Press. London, United Kingdom.

WITSA (World Information Technology and Services Alliance (2000). Digital Planet 2000: The Global Information Economy. Bases on Research Conducted by International Data Corporation (IDC), Published by WITSA.

Wixom, B.H.; H.J. Watson (2001). An Empirical Investigation of the Factors Affecting Data Warehousing Success. MIS Quarterly (25:1), pp. 17-41.

Yuthas, K.; S.T. Young (1998). Material Matters: Assessing the Effectiveness of Materials Management IS. Information & Management (33:3), pp. 115-124.