Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2019 | 14 | 108-127

Article title

Development and Evaluation of an AHP Model for Software Systems Selection

Content

Title variants

Languages of publication

EN

Abstracts

EN
Decision-making in the field of information systems has become more complex due to larger number of alternatives, multiple and sometimes conflicting goals, and an increasingly uncertain environment. Software systems play unique roles in the translation of corporate strategic and tactical plans into actions. We present the results of a study designed to develop and evaluate an Analytical Hierarchy Process (AHP) model to support decision making in the selection of appropriate software system to meet organizational needs. Our results show the viability of the AHP methodology in software system/project selection, and points to the importance of functionality (35.26%), quality (22.00%) and usability (19.34%) criteria in the overall decision process. Cost and vendor service did not seem to exert significant weight in the decision matrix.

Year

Volume

14

Pages

108-127

Physical description

Contributors

  • Mount Royal University. Department of Mathematics and Computing. Calgary, Canada
  • University of Eswatini. Department of Computer Science. Kwaluseni M201. Eswatini, Swaziland

References

  • Abdelaziz T.M., Maatuk A.M., Rajab F. (2016), An Approach to Improvement the Usability in Software Products, International Journal of Software Engineering & Applications (IJSEA), 7(2), 11-18.
  • Akinnuwesi B.A., Uzoka F.M.E. (2017), Assessment of Software Project Proposal using Analytical Hierarchy Process: A Framework, Journal of Research and Review in Science, 4(1), Publication of Faculty of Science, Lagos State University, Lagos, Nigeria, 44-55.
  • Akinnuwesi B.A., Uzoka F.M., Olabiyisi S.O., Omidiora E.O. (2012), A Framework for User-centric Model for Evaluating the Performance of Distributed Software System Architecture, Expert Systems with Applications, 39(10), 9323-9339.
  • Akinnuwesi B.A., Uzoka F.M., Olabiyisi S.O., Omidiora E.O., Fiddi P. (2013), An Empirical Analysis of End-user Participation in Software Development Projects in a Developing Country Context, The Electronic Journal of Information Systems in Developing Countries, 58(6), 1-25.
  • Akinnuwesi B.A., Uzoka F.M., Osamiluyi A.O. (2013c), Neuro-Fuzzy Expert System for Evaluating the Performance of Distributed Software System Architecture, Expert Systems with Applications, 40(9), 3313-3327.
  • Al-Harbi K.M.A.-S. (2001), Application of the AHP in Project Management, International Journal of Project Management, 19(1), 19-27.
  • ALMohiza M.A., Sparto P.J., Marchetti G.F., Delitto A., Furman J.M., Miller D.L., Whitney S.L. (2016), A Quality Improvement Project in Balance and Vestibular Rehabilitation and Its Effect on Clinical Outcomes, Journal of Neurologic Physical Therapy, 40(2), 90-99.
  • Atal V., Bar T., Gordon S. (2016), Project Selection: Commitment and Competition, Games and Economic Behavior, (96), 30-48.
  • Bertram V., Manhart P., Plotnikov D., Rumpe B., Schulze C., Wenckstern M. von (2016), Infrastructure to Use OCL for Runtime Structural Compatibility Checks of Simulink Models, Modellierung, 109-116.
  • Bertram V., Roth A., Rumpe B., Wenckstern M. von (2016), Extendable Toolchain for Automatic Compatibility Checks.
  • Bredillet C.N. (2010), Blowing Hot and Cold on Project Management, Project Management Journal, 41(3), 4-20.
  • Buss M.D.J. (1983), How to Rank Computer Projects, Harvard Business Review, 61(1), 118-125.
  • Chau P.Y. (1995), Factors Used in the Selection of Packaged Software in Small Businesses: Views of Owners and Managers, Information & Management, 29(2), 71-78.
  • Davis L., Williams G. (1994), Evaluating and Selecting Simulation Software Using the Analytic Hierarchy Process, Integrated Manufacturing Systems, 5(1), 23-32.
  • Engelbrecht J., Johnston K.A., Hooper V. (2017), The Influence of Business Managers’ IT Competence on IT Project Success, International Journal of Project Management, 35(6), 994-1005.
  • Hares J., Royle D. (1994), Measuring the Value of Information Technology, John Wiley and Sons, Inc., New York.
  • He J., Butler B.S., King W.R. (2007), Team Cognition: Development and Evolution in Software Project Teams, Journal of Management Information Systems, 24(2), 261-292.
  • Hoffer J., George J., Valacich J. (2016). Modern Systems Analysis and Design, (8th Edition), Pearson, Essex.
  • Hwang C.-L., Yoon K. (2012), Multiple Attribute Decision Making: Methods and Applications a State-of-the-art Survey, Springer Verlag, New York.
  • Ika L.A. (2009), Project Success as a Topic in Project Management Journals, Project Management Journal, 40(4), 6-19.
  • IT Procurement Policy 2005, Information Technology (IT) Procurement Policy.
  • Jadhav A.S., Sonar R.M. (2009), Evaluating and Selecting Software Packages: A Review, Information and Software Technology, 51(3), 555-563.
  • Jadhav A.S., Sonar R.M. (2011), Framework for Evaluation and Selection of the Software Packages: A Hybrid Knowledge Based System Approach, Journal of Systems and Software, 84(8), 1394-1407.
  • Jain V., Benyoucef L., Bennett D., Deep A., Guttridge P., Dani S., Burns N. (2008), Investigating Factors Affecting ERP Selection in Made-to-order SME Sector, Journal of Manufacturing Technology Management, 19(4), 430-446.
  • Kahraman C., Büyüközkan G., Ruan D. (2004), Measuring Software Development Value Using Fuzzy Logic, [in:] D. Ruan, X. Zeng (eds.), Intelligent Sensory Evaluation: Methodologies and Applications, Springer, 285-308.
  • Keil M., Tiwana A. (2006), Relative Importance of Evaluation Criteria for Enterprise Systems: A Conjoint Study, Information Systems Journal, 16(3), 237-262.
  • Khaddaj S., Horgan G. (2004), The Evaluation of Software Quality Factors in Very Large Information Systems, Electronic Journal of Information Systems Evaluation, 7(1), 43-48.
  • Khan S.U., Niazi M., Ahmad R. (2011), Factors Influencing Clients in the Selection of Offshore Software Outsourcing Vendors: An Exploratory Study Using a Systematic Literature Review, Journal of Systems and Software, 84(4), 686-699.
  • Lai V.S., Trueblood R.P., Wong B.K. (1999), Software Selection: A Case Study of the Application of the Analytical Hierarchical Process to the Selection of a Multimedia Authoring System, Information & Management, 36(4), 221-232.
  • Lewis J.R. (2014), Usability: Lessons Learned… and Yet to be Learned, International Journal of Human-Computer Interaction, 30(9), 663-684.
  • Liberatore M.J., Pollack-Johnson B. (2003), Factors Influencing the Usage and Selection of Project Management Software, IEEE Transactions on Engineering Management, 50(2), 164-174.
  • Maidamisa A.A., Ahmad R., Aziz M.I.A. (2012), Selecting the Appropriate Decision Alternatives Using SM and AHP, International Journal of Computer Applications, 37(10), 14-18.
  • Melone N., Wharton T. (1984), Strategies for MIS Project Selection, Journal of Systems Management, 35(2), 26-33.
  • Meso P., Jain R. (2006), Agile Software Development: Adaptive Systems Principles and Best Practices, Information Systems Management 23(3), 19-30.
  • Molla A., Licker P.S. (2005), eCommerce Adoption in Developing Countries: A Model and Instrument, Information & Management, 42(6), 877-899.
  • Muralidhar K., Santhanam R., Wilson R.L. (1990), Using the Analytic Hierarchy Process for Information System Project Selection, Information & Management, 18(2), 87-95.
  • Nandi S., Paul S., Phadtare M. (2011), An AHP-based Construction Project Selection Method, Decision, 38(1), 91-118.
  • Niessink F., Van Vliet H. (1999), Measurements Should Generate Value, Rather than Data [Software Metrics], Software Metrics Symposium, 1999, Proceedings. Sixth International, IEEE, 31-38.
  • Oppermann R., Reiterer H. (1997), Software Evaluation Using the 9241, Behaviour and Information Technology, 16(4/5), 232-245.
  • Patanakul P., Iewwongcharoen B., Milosevic D. (2010), An Empirical Study on the Use of Project Management Tools and Techniques Across Project Life-cycle and Their Impact on Project Success, Journal of General Management, 35(3), 41-65.
  • Rivard S., Dupré R. (2009), Information Systems Project Management in PMJ: A Brief History, Project Management Journal, 40(4), 20-30.
  • Rouyendegh B.D., Erkan T.E. (2011), ERP System Selection by AHP Method: Case Study from Turkey, International Journal of Business and Management Studies, 3(1), 39-48.
  • Saaty T.L. (1977), A Scaling Method for Priorities in Hierarchical Structures, Journal of Mathematical Psychology, 15(3), 234-281.
  • Saaty T.L. (1990), How to Make a Decision: The Analytic Hierarchy Process, European Journal of Operational Research, 48(1), 9-26.
  • Saaty T.L. (2008), Decision Making with the Analytic Hierarchy Process, International Journal of Services Sciences, 1(1), 83-98.
  • Seong Leem C., Yoon Y. (2004), A Maturity Model and an Evaluation System of Software Customer Satisfaction: The Case of Software Companies in Korea, Industrial Management & Data Systems, 104(4), 347-354.
  • Sherer S.A. (2004), IS Project Selection: The Role of Strategic Vision and IT Governance, System Sciences, Proceedings of the 37th Annual Hawaii International Conference on, IEEE.
  • Stefanou C.J. (2001), A Framework for the Ex-ante Evaluation of ERP Software, European Journal of Information Systems, 10(4), 204-215.
  • Uzoka F.M., Abiola R.O., Nyangeresi R. (2008), Influence of Product and Organizational Constructs on ERP Acquisition Using an Extended Technology Acceptance Model, International Journal of Enterprise Information Systems, 4(2), 67-70.
  • Uzoka F.M., Akinnuwesi B.A., Oluwole N., Adekoya, A.F., Egbekunle O.Y. (2016), Identifying Factors for Evaluating Software Project Proposals, International Journal of Quality Engineering and Technology, 6(1/2), 93-114.
  • Uzoka F.M., Fedoruk A., Osakwe C., Osuji J., Gibb K. (2013), A Multi-criteria Framework for Assessing Scholarship Based on Boyer’s Scholarship Model, Information Knowledge Systems Management, 12(1), 25-51.
  • Uzoka F.M.E. (2009), Examining the Effects of TAM Constructs on Organizational Software Acquisition Decision, Information Resources Management Journal (IRMJ), 22(3), 40-58.
  • Vargas R.V. (2010), Using the Analytic Hierarchy Process (AHP) to Select and Prioritize Projects in a Portfolio, PMI Global Congress 2010 North America, Available: http://www.ricardo-vargas.com/wp-content/uploads/downloads/articles/ricardo_vargas_ahp_project_selection_en.pdf, Access Date: July 30, 2016, 2010.
  • Verner J., Sampson J., Cerpa N., Bleistein S. (2009), What Factors Lead to Software Project Failure and Whose Fault Was It?, Ingénierie des Systèmes d’Information, 14(4), 55-75.
  • Verville J., Halingten A. (2002), An Investigation of the Decision Process for Selecting an ERP Software: The Case of ESC, Management Decision, 40(3), 206-216.
  • Verville J., Halingten A. (2003), A Six Stage Model of the Buying Process for ERP Software, Industrial Marketing Management, (32), 585-594.
  • Wei C.-C., Chien C.F., Wang M.-J.J. (2005), An AHP-based Approach to ERP System Selection, International Journal of Production Economics, 96(1), 47-62.
  • Wei C.-C., Wang M.-J.J. (2004), A Comprehensive Framework for Selecting an ERP System, International Journal of Project Management, 22(2), 161-169.
  • Williams J.B., Gibbon M., First M.B., Spitzer R.L., Davies M., Borus J., Howes M.J., Kane J., Pope H.G., Rounsaville B. (1992), The Structured Clinical Interview for DSM-III-R (SCID): II. Multisite Test-retest Reliability, Archives of General Psychiatry, 49(8), 630-636.
  • Yoon K.P., Hwang C.-L. (1995), Multiple Attribute Decision Making: An Introduction, SAGE Publications, London.
  • Zielsdorff C., McGinnis C., Daim T., Basoglu N. (2010), Enterprise Resource Planning (ERP) Selection for a Medical Devices Manufacturing Company, International Journal of Business Information Systems, 6(2), 265-293.

Document Type

Publication order reference

Identifiers

ISSN
2084-1531

YADDA identifier

bwmeta1.element.cejsh-2342eb5c-b6c7-44f6-afa2-7ffcc80ad6c3
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.