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Users’ Attitudes towards the Utilization of Online Government and Business Services in Lebanon

Users’ Attitudes towards the Utilization of Online Government and Business Services in Lebanon. Abdulrazzak Charbaji, Ph.D. Professor of Applied Statistics and Applied Econometrics College of Business Administration and Economics Lebanese University Abdulrazzak.charbaji@lau.edu.lb.

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Users’ Attitudes towards the Utilization of Online Government and Business Services in Lebanon

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  1. Users’ Attitudes towards the Utilization of Online Government and Business Services in Lebanon

  2. Abdulrazzak Charbaji, Ph.D.Professor of Applied Statistics and Applied Econometrics College of Business Administration and EconomicsLebanese UniversityAbdulrazzak.charbaji@lau.edu.lb

  3. General Background • Lebanon's economy is a mixture of very strong economic institutions and weak economic institutions • The last few years have seen a growing interest in e government and e business in Lebanon. • Government agencies in Lebanon are trying to provide services using digital technologies • Each business today, considers the world to be its potential market and fights for customers on an international basis • The issue facing people in Lebanon is not the shortage of information any more, but how to retrieve, trust and use the retrieved information

  4. Significance of the Study Granted there have been many studies done in Lebanon; however, there was no attempt to study Users’ Attitudes towards the Utilization of Online Government and Business Services in Lebanon per se

  5. The Research Objective The objective of this research is to understand users’ attitude to utilize information and integrated statistical systems in Lebanon

  6. Review of Literature • Through a review of literature and related studies, critical factors in people’s attitude towards participation in e government and online business are uncovered. • The present study tests a causal model which is a modification of the two theoretical models that were reported in previous literature.

  7. Figure 1: Model of motives, perceived risk and intention to use ICT systems Internal Motives External Motives Perceived Risk Intention to Implement Information and integrated Statistical Systems

  8. Figure 2: Model of perceived usefulness, perceived ease of use, perceived credibility, and intention to use ICT systems Perceived Usefulness Perceived Ease of Use Perceived Credibility Intention to Implement Information and integrated Statistical Systems

  9. The Suggested Causal Model for the Study

  10. Decomposing the simple correlation coefficient into direct and indirect effects

  11. Methodology

  12. The survey population comprised of graduate students at different universities in Lebanon who work for different public and private firms. • There was no access to the names of the population and a large sample of graduate students was selected by convenience sampling. • Data for the study were collected using a questionnaire. • 581 valid questionnaires were collected with complete information. • Data collection was carried out over a three months period during 2008, with the help of different graduate research assistants.

  13. Findings of the Study Public Sector Private Sector

  14. Private sector

  15. Factor Analysis was used to establish the construct validity of the instrument. • The Kaiser-Meyer-Oklin (KMO) measure of sampling adequacy 0.813 indicates that the sample was adequate for the purpose of analysis. • The Bartlett’s test of sphericity showed that the chi-square test of 7883.044 was highly significant (p = 0.0000).

  16. Multiple regression analysis Factor scores were used as explanatory variables in multiple regression analysis. The regression was highly significant (RSQ = 0.356, F = 60.32, p = 0.000).

  17. Public sector

  18. Factor Analysis was used to establish the construct validity of the instrument. • The Kaiser-Meyer-Oklin (KMO) measure of sampling adequacy 0.727 indicates that the sample was adequate for the purpose of analysis. • The Bartlett’s test of sphericity showed that the chi-square test of 6356.953 was highly significant (p = 0.0000).

  19. Multiple regression analysis Factor scores were used as explanatory variables in multiple regression analysis. The regression was highly significant (RSQ = 0.241, F = 26.031, p = 0.000).

  20. Conclusions and recommendations • Participants in this study apparently feel negative about using ICT systems. • The results of this study shows that the more complexity of the system the less likely is the user’s intention to utilize it. • The empowerment of users to participate in the continuous flow of technological change is the key ingredient for success.

  21. Thank You I Welcome Your Feedback… & Your Questions ?

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