An Assessment of the Performance of Small and Medium Enterprises in Developing Countries Based on Automated Procurement Systems and the Dynamic Capabilities Theory
Bibliographic record
Abstract
The main objective of the study was to carry out an assessment of the performance of SMEs in Lusaka, Zambia, based on automated procurement systems and Dynamic Capabilities Theory. The research objectives were aimed at finding out the role of e-tendering, e-ordering and e-logistics on organizational performance. The study was carried out in Lusaka Central District of Lusaka Province. The study adopted a descriptive research design. The study sample comprised 400 respondents and adopted the simple random sampling method. To carry out this study, a structured questionnaire was developed and pre-tested. It contained close-ended questions. Questionnaires were distributed to the respondent and 14 days were given to respondent to complete questionnaires before collection. Questionnaires were used as the main tools for collection of primary data and were delivered to the respondents directly with the guidance of the principal researcher and picked later at the agreed date. Data analysis involved cleaning, sorting, coding and keypunching of raw data collection from the field and processing for purposes of interpretation were analysed via Statistical Package for Social Science version 28 (SPSS) analysis software. Furthermore, quantitative data findings were presented using descriptive statistical tools like graphs, tables and other measures of central tendency. An analysis of the first research variable regarding e-tendering revealed that it has a significant effect on organizational performance with a P-value of 0.000. The second research variable regarding e-ordering was not supported and proved to not have an effect on organization performance and indicated a P-value of 0.48. An analysis of the last research variable regarding e-logistics revealed a huge significance between e-logistics and organizational performance and the analysis indicated that the performance of SMEs relies on e-logistics with a P-value of 0.000. The study recommends that SMEs enhance system integration for transparency, cost reduction, resource management and flow of information, leverage technology, and facilitate training.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".