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Effectiveness in the small enterprise state grant-funded programme performance – a balanced scorecard application

Bibliographic Data

ID21540843
AuthorsTimothy Olaniyi Aluko (0000-0002-0818-4305, Department of Management Accounting, College of Accounting Science, University of South Africa (UNISA), Pretoria, South Africa, corresponding author), Paul Kibuuka (0000-0002-6354-7981, Department of Management Accounting, College of Accounting Science, University of South Africa (UNISA), Pretoria, South Africa)
Year2023
Volume40
Issue2
Pages390-405
Publication date2023-03-04
Open AccessNo
TypeARTICLE
VenueDevelopment Southern Africa (JOURNAL)
Journal identifiersISSN: 0376-835X • E-ISSN: 1470-3637
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0376835x.2022.2036595
OpenAlexW4212929372
LanguageEN
References cited31

This article presents and discusses theoretical and conceptual models to measure the effectiveness of a state grant-funded programme. The models were used to formulate the perspectives and strategic objectives a state programme can consider to implement and evaluate performance. The behavioural experiments method was adopted to test the validity of the study assumptions. The methodological contribution of the study is the development and application of balanced scorecard perspectives broken down into key performance objectives and key performance indicators evaluated in terms of an effective level scale. The lowest effectiveness level implies that the overall performance is very low while the highest effectiveness level implies that the performance of the programme is optimised. The study contributes to the current debate and a deviation from previous research. The fact that there is a direct link between expectations of performance, effectiveness and the objectives of publicly-funded programmes is another empirical contribution worth pursuing

Balanced scorecard · Business · Conceptual framework · Economics · Empirical research · Management science · Performance indicator · Performance Management · Performance measurement · Process management · Sociology · Statistics · Accounting and Organizational Management · Community Development and Social Impact · Computer Science · Human Resource Development and Performance Evaluation · Mathematics · Marketing

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Highly citedNo

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