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Researcher

Multiple Group Structural Equation Modeling Development for Factor Analysis that affects Information Technology Service Management of Higher Educational Academic Institutions. Researcher. Sarun Nakthanom

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Researcher

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  1. Multiple Group Structural Equation Modeling Development for Factor Analysis that affects Information Technology Service Management of Higher Educational Academic Institutions

  2. Researcher • SarunNakthanom Instructor in Department of Information Technology, Faculty of Science and Technology, Bangkok Suvarnabhumi College, Bangkok, Thailand • NamonJeerungsuwan, Ph.D. Director of Ph.D. Program in Information and Communication Technology for Education, Faculty of Technical Education, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand

  3. Content • Introduction • Theory and Methodology • Methodology • Results • References

  4. Introduction • Higher education institutions have adopted information technology as a tool in management as below: • Service Management • Teaching and learning • Research • To analyze have good information technology about its services. Information Technology Infrastructure Library or ITIL V.3 Foundation is an international standard in many countries have made to the guidelines.

  5. Theory and Methodology • Factor analysis • Structural Equation Model • AccuracyEvaluationCriterion • Information Technology Infrastructure Library

  6. Theory and Methodology • Factor analysis is a technique used to extract the factors (component) from a group of indicators that are related to each factor. Where: F= factor, w= coefficient of variable x x= manifest variable e= margin of error

  7. Theory and Methodology • Structural Equation Model (SEM) is a technique used to analyze the relationship of factors from the survey From the statistics of (Model fit) 1) Chi-square (χ2) should be a non-significance (P>0.05) 2) Goodness of Fit Index (GFI>0.90) 3) Root Mean Square Error of Approximation (RMSEA<0.06) and 4) Hoelter's N, the value (Hoelter's. N>75)

  8. Theory and Methodology • Accuracy Evaluation Criterion MMRE have small values, the results should be precise or very close to the real data as formulated below.

  9. Theory and Methodology • Information Technology Infrastructure Library (ITIL) • Service Strategy • Service Design • Service Transition • Service Operation • Continual Service Improvement - Service Catalogue Management - Service Level Management - Capacity Management - Availability Management - IT service Continuity Management - Information Security Management Supplier Management, Application Management - Data and Information Management Business Service Management - Financial Management - Service Portfolio Management - Demand Management - Change Management - Service asset and Configuration Management - Release and deployment Management - Knowledge Management - Stakeholder Management - Transition Planning - Support and Service Evaluation - Event Management - Incident Management - Request Management - Problem Management - Access management The 7-Step Improving Process

  10. METHODOLOGY • Data sets for the research • The data set of experimental group was 290 data sets.

  11. METHODOLOGY Table 1: Results of main factors and indicators

  12. METHODOLOGY Structural Equation Modeling Table 2: The statistic’s compatibility of SEM

  13. METHODOLOGY • SEM standardized type

  14. Table 2 and the new SEM are shown in Fig. 2

  15. METHODOLOGY • Product indicator approaches of structural equation modeling with constrained approach. The only measure left over from the results of the SEM according to Fig. 1 is F1 = {CSI5, CSI4, CSI3, CSI1, SO7, CSI7, CSI2, CSI6, SO6, SO3, SO5, SO2, SO1, SO4, ST6, ST4, ST7, ST5, ST3} F2 = {SD1, SS3, SD2 SS2, SS1, SD3, SD5 ,SD6, ST1, SD7, ST2, SD4 } to create SEM have the statistics of compatibility.

  16. RESULTS • The test group of 290 sets was assigned to find estimate the replacement value of missing data as follows: 1) the data imputation estimation methods using SEM, the result of MMRE was 25.23% 2) Thus, comparing estimates of data showed that using the SEM with the unconstrained approach and related indicators had high accuracy, while MMRE declined using the constrained approach with related indicators.

  17. REFERENCES • Prakancharoen, S.(2008). The estimated time to develop application software oriented network using structural equation modeling. Information Technology Journal. Year 4 Vol. 7. Bangkok: King Mongkut's University of Technology North Bangkok. • Jan van Bon, Pieper,M., Veen,A., Verheijen,T. (2007). Best Practices: Introduction to ITIL,TSO Publications, Norwich,June. • Taylor,S. , Iqbal,M., Nieves,M. (2007) ITIL:ServiceStrategy,TSOpublications.Norwith,UK. • Taylor,S. , Lioyd,V.,Rudd,C. (2007). ITIL:ServiceDesign,TSOpublications.Norwith,UK. • Taylor,S. , Lacy,S.,Macfarlane,I. (2007). ITIL:ServiceTransition,TSOpublications.Norwith,UK. • Taylor,S. ,CannonD.,Wheeldon,D. (2007). ITIL:ServiceStrategy,TSOpublications.Norwith,UK. • Taylor,S. ,CaseG.,Spalding,G. (2007). ITIL:Continual Service Improvement,TSOpublications.Norwith,UK. • Arbuckle, James L. (2006). Structural equation modeling -AMOS6.0 user guide,Chicago-IL SPSS Inc., USA • David Garson. (2006) Structural equation modeling, Statistics solution inc, USA.

  18. Thank you Q/A

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