Introduction
Background of the research problem
Statement of the research problem
Objectives and significance of the study
Literature review
Theoretical framework
Empirical reviews
Effect of information systems usage on logistical shipping and trucking costs
Effects of information systems usage on timely delivery of goods and services
Effect of information systems usage on increased trade volume
Effect of information system usage on organisation capability
Research gap and conceptual framework
Hypotheses of the study
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Hypothesis 1: H1-Information systems usage results in decreased shipping and trucking costs on logistics.
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Hypothesis 2: H1-Information systems usage results in on-time delivery of goods and services.
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Hypothesis 3: H1-Information systems usage results in increased trade volume for logistics.
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Hypothesis 4: H1- Information systems usage results in increased organisational capabilities in terms of logistics.
Research methodology
Research design
Sampling
Reliability and validity
Data analysis techniques
Operationalisation of the concepts
Information systems usage as a predictor variable
Shipping and trucking cost as a criterion variable
On-time delivery of goods and service as a criterion variable
Trade volume as a criterion variable
Organisational capability as a criterion variable
Other variables
Findings and discussion
Sample profile of the research study
Frequency | Percent | |
---|---|---|
Sex | ||
Male | 68 | 64.2 |
Female | 32 | 30.2 |
Age group | ||
18–30 years | 18 | 17.0 |
31–40 years | 55 | 51.9 |
41–55 years | 22 | 20.8 |
Above 55 years | 5 | 4.7 |
Occupation | ||
Importer/ Exporters/Transporters | 26 | 24.5 |
Clearing agent/Port Terminal Operators | 29 | 27.3 |
ICT officers/Information development Officers | 29 | 27.3 |
Ordinary employees | 16 | 15.1 |
Education level | ||
Secondary level/Certificates | 22 | 20.8 |
Diploma | 36 | 34.0 |
Degree | 19 | 17.9 |
Masters | 10 | 9.4 |
PhD | 13 | 12.3 |
Information systems usage
Frequency | Percent | |
---|---|---|
0–1 h per day | 10 | 10.0 |
2–3 h per day | 20 | 20.0 |
4–5 h per day | 7 | 7.0 |
6–7 h per day | 42 | 42.0 |
8 h and above per day | 21 | 21.0 |
Total | 100 | 100.0 |
Frequency | Percent | |
---|---|---|
1 day per week | 1 | 1.0 |
2 days per week | 2 | 2.0 |
3 days per week | 7 | 7.0 |
4 days per week | 7 | 7.0 |
5 days and above per week | 83 | 83.0 |
Total | 100 | 100.0 |
Frequency | Percent | |
---|---|---|
0–1 min | 21 | 21.0 |
2–3 min | 56 | 56.0 |
4–6 min | 16 | 16.0 |
7–10 min | 7 | 7.0 |
Total | 100 | 100.0 |
Frequency | Percent | |
---|---|---|
Organization planning | 22 | 22.0 |
Billing of port services | 15 | 15.0 |
Trucking cargos | 29 | 29.0 |
Cargo reconciliation | 20 | 20.0 |
Bill payment | 14 | 14.0 |
Total | 100 | 100.0 |
Reliability analysis
Data Sets | Cronbach’s Alpha | Cronbach’s Alpha Based on Standardized Items | N of Items |
---|---|---|---|
Decreased shipping and trucking costs | 0.725 | 0.744 | 6 |
Timely delivery of goods and services | 0.775 | 0.784 | 4 |
Trade volume | 0.730 | 0.744 | 6 |
Organizational Capability | 0.713 | 0.728 | 6 |
Canonical correlation analytical results
Test Name | Value | Exact | Hypoth. DF | Error DF | Sig. of F |
---|---|---|---|---|---|
Pillai’s | 0.736 | 66.364 | 4.00 | 95.00 | 0.000 |
Hotelling’s | 2.794 | 66.364 | 4.00 | 95.00 | 0.000 |
Wilk’s | 0.264 | 66.364 | 4.00 | 95.00 | 0.000 |
Roy’s | 0.736 |
Root No. 1 | Eigenvalue | Pct. | Cum. Pct | Canon Cor. | Sq. Cor. |
---|---|---|---|---|---|
1 | 2.794 | 100.000 | 100.000 | .858 | .736 |
Variable | Sq. Mul. R | Adj. R-sq. | Hypoth. MS | Error MS | F | Sig. of F |
---|---|---|---|---|---|---|
Decreased shipping and trucking costs (C) | 0.723 | 0.721 | 36.260 | 0.142 | 256.257 | 0.000 |
Timely delivery of goods and services (TD) | 0.555 | 0.551 | 50.534 | 0.413 | 122.383 | 0.000 |
Trade volume (TP) | 0.526 | 0.521 | 25.271 | 0.233 | 108.571 | 0.000 |
Organizational Capability (OC) | 0.533 | 0.528 | 25.886 | 0.232 | 111.671 | 0.000 |
Covariate Variable | B | Beta | Std. Err. | t-value | Sig. of t | Lower | Upper |
---|---|---|---|---|---|---|---|
Dependent variable: Decreased shipping and trucking costs (C) | |||||||
Information Systems Usage | 1.196 | 0.851 | 0.075 | 16.008 | 0.000 | 1.047 | 1.344 |
Dependent variable: Timely delivery of goods and services (TD) | |||||||
Information Systems Usage | 1.412 | 0.745 | 0.128 | 11.063 | 0.000 | 1.158 | 1.665 |
Dependent variable: Trade volume (TP) | |||||||
Information Systems Usage | 0.998 | 0.725 | 0.096 | 10.420 | 0.000 | 0.808 | 1.188 |
Dependent variable: Organizational Capability (OC) | |||||||
Information Systems Usage | 1.010 | 0.730 | 0.096 | 10.567 | 0.000 | 0.821 | 1.200 |
Relationship between Information Systems Usage and | Statistical support | Strength of support |
---|---|---|
Decreasing shipping and trucking costs on logistics | Supported | Very Strong (almost three quarters) |
On time delivery of goods and service | Supported | Strong (almost 50%) |
Increasing trade volume on logistics | Supported | Strong (almost 50%) |
Increasing organization capabilities on logistics | Supported | Strong (almost 50%) |