Critical Success Factors for E-Government (G2G) in Tanzania

by

ACKNOWLEDGEMENT

I would take this opportunity to thank my research supervisor, family and friends for their support and guidance without which this research would not have been possible.

DECLARATION

I, [type your full first names and surname here], declare that the contents of this dissertation/thesis represent my own unaided work, and that the dissertation/thesis has not previously been submitted for academic examination towards any qualification. Furthermore, it represents my own opinions and not necessarily those of the University.

Signed __________________ Date _________________

Table of Contents

ACKNOWLEDGEMENTII

DECLARATIONIII

CHAPTER 4: DISCUSSION AND ANALYSIS1

Quantitative Analysis1

Discussion6

Connate the expectations of citizens and businesses8

Reinforce the confidence of citizens and businesses in e-government9

Security9

Critical Success Factors: Why e-Government Projects Succeed10

Examples10

Good practice in relations between the administration and citizens or businesses11

Protection of Privacy12

REFERENCES14

APPENDIX16

Screen Shots16

CHAPTER 4: DISCUSSION AND ANALYSIS

Quantitative Analysis

This study used quantitative and qualitative approaches. Quantitative data was analyzed using correlation and factor analysis. Questionnaire consist of items such as gender, education level, age, duration of Internet use and the critical factors that influences the intention of use e-government. The critical factors were adopted from the characteristic of innovation as a part of innovation diffusion theory which is used in some similar studies. The critical factors consist of relative advantage, image, compatibility, and ease of use. 'Information provided' was defined as the degree to which an innovation is perceived as better than the idea it supersedes. 'Image' is the degree the innovation enhances one's reputation with peers. 'Compatibility' is the degree of perceived consistency with one's values, experiences, and needs. 'Ease of use' is the perceived degree of difficulty those who engage with e-government have.

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.512

Bartlett's Test of Sphericity

Approx. Chi-Square

1.013E3

df

276

Sig.

.000

The above displays the KMO and Bartlett's Test. The Kaiser-Meyer-Olkin Measure of Sampling Adequacy value is greater in 0.05 therefore the analysis approves the test. Also, Bartlett's Test of Sphericity is less than 0.05 therefore it states that the data is significant for the study.

Communalities

Initial

Extraction

GENDER

1.000

.648

POSITION

1.000

.665

Ministry

1.000

.656

Information Systems are very expensive

1.000

.603

The Computers in the Ministry are quite old

1.000

.500

The Internet Connection is not stable

1.000

.502

Getting IT staff to help in System Errors is not easy

1.000

.740

There is no difference in my work whether I use the system or not

1.000

.576

The system is Complicated to Use

1.000

.679

I really find no reason in using the system

1.000

.789

Using new IT system changes disconnects me from friends ,from office and I feel isolated

1.000

.770

Information from the eGovernemnt system is clear and understandable

1.000

.653

Information from the system is current and update

1.000

.410

Information output is correct and error free

1.000

.764

Processing time of the eGov system is fast

1.000

.829

eGovernment system is easy to use

1.000

.792

When there is a problem , IT staff shows interest in helping

1.000

.596

IT staff are Competent in solving the problems

1.000

.678

IT Staff come on time when an error is reported.

1.000

.679

Management organizes trainings before introducing new Egov systems

1.000

.569

The daily activities are dependent on eGovernment system

1.000

.648

Egovernment system meets my expectations

1.000

.649

The System helps to reduce workload

1.000

.649

System saves time

1.000

.599

Extraction Method: Principal Component Analysis.

Initial communalities are estimates of the variance in each variable accounted for by all components or ...