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A National Quality Infrastructure Model for the promotion of
Small and Medium - Sized Enterprises in
South Africa
Test and Measurement Conference & Workshop
28 September 2016
Sam Thema
Presentation Outline
Introduction
Background
Problem Statement
Conceptual Framework
Measures
Research Methodology - Overview
Analytical Tools and Procedures
Preliminary Literature Review
Expected Results and Conclusions
Acknowledgements
Introduction
This presentation represents a dissertation proposal for the fulfillment of
the requirements of a doctorate degree in business leadership through the
University of South Africa (UNISA) school of business leadership
The AIM of this study is to develop an appropriate quality infrastructure
framework that can be implemented by SMEs managers/owners and
other interested parties to measure SMEs performance.
Background
Globalization leads to Free Trade Agreements
Free Trade Agreements facilitate globalized Supply chains
Supply chains require harmonized Standards
Standards need correct Measurements
Measurements assures reliable tests
Tests are the basis for Product Certification
Certifiers and Laboratories should be accredited
Accreditation equal Technical Competence
Competence must be demonstrated by global evaluation
Global evaluations ends up in globalized Products
For all this to
happen the
Quality
Infrastructure
(QI)
is needed !!
Background – cont’d
Technical
Infrastructure
Standardization
(SABS)
Metrology
(NMISA)
Accreditation
(SANAS)
National Regulator
(NRCS)
Financial and small Business
Development agenciesRegulatory agencies
COTTI
In South Africa a QI agencies are well positioned within the Department of
Trade and Industry as part of the Council of Trade and Industry
Institutions (COTTI) grouped into three clusters, namely the financial and
small business development agencies, regulatory agencies and the
technical infrastructure
Accreditation
(SANAS)
ISO 22003
SANS 10330
IAF
ILAC
ISO 17025
ISO 17025
Standardization
(SABS)
ISO
CODEX
Testing
LaboratoriesIntercomparisons
Proficiency tests
Metrology
(NMISA)
BIPM
traceab
ilit
y
- Calibration Laboratories
Certification
Certificate
- products
- processes
National QI SystemCustomer
Product
with
Certificate
Value chains
ISO 9001, ISO 22003, HACCP, etc.
National Standards
International Standards
Calibration of Equipment
Testing, Analysis
Investigation
Reference Materials
International System
Source: Modified and Adapted from PTB
South African National Quality Infrastructure
(can be linked to international system)
Product with
Certificate
Background - cont’d
Background - cont’d
Small and Medium-sized Enterprises (SMEs) on the other hand have the
potential to drive both the economy and provide opportunities for
employment.
Despite this positive contribution, reports indicate that SMEs are still
faced with numerous challenges which inhibit their competitiveness and
sustainability.
Background - cont’d
A Success Story
African Aloe (Pty) Ltd is based in the Western Cape, South Africa.
The company has grown from a small business into one of the biggest
Aloe companies in South Africa.
African Aloe specialise in the manufacturing of Aloe ferox raw
materials, Aloe ferox gels, juices and beverages for the pharmaceutical,
cosmetics and food industries.
African Aloe is currently the only aloe company in South Africa that is
HACCP certified (SABS, SANS 1033:2007
African Aloe has an Integrated EXPORTS and Bioprospecting permit
and is also registered with the U.S. FDA
Adapted from - GLOBAL ENTERPRENEURSHIP MONITOR- GEM (2014)
South Africa’s rate of entrepreneurial activity is very low for a developing
nation – a mere quarter of that seen in other sub-Saharan African
countries.
Unemployment is around 40% of the adult population; despite this, the
number of people starting businesses due to having no other option for
work (necessity entrepreneurship) is low.
Entrepreneurial activity in South Africa, although very low, has increased
marginally over the last 10 years, but in 2014 dropped by a staggering 34%
(from 10.6% to 7%)...
The level of business discontinuance still exceeds that of business start-
ups, resulting in a net loss of small business activity and subsequent job
losses
Background - cont’d
Quality Infrastructure
Metrology
Accreditation
Conformity Assessment
SME
Performance
What are possible interventions that needs to be implemented to enhance
SMEs performance ?
Background - cont’d
What is the Problem Statement for this
study ?
Reference
Muhammad, N.M.Y and Khairu, A.M.A. (2015). Total Quality Management
Approach for Malaysian SMEs : Conceptual Framework”, Vol. 6 No. 1, pp. 152-161.
The problem is that there is no appropriate framework that can be
followed describing a quality infrastructure (QI) as an innovative factor
during the implementation of Small and Medium-sized Enterprises
(SMEs) performance (Huhammad and Khairul, 2015:154)
This study therefore seek to close this research gap by developing
appropriate framework that can be followed describing a QI as an
innovative factor during the implementation of SMEs performance.
What Preliminary Literature Review have
been conducted by the researcher thus far?
A study by Choi, Hyun, Hong and Kang (2014) developed a framework for
assessing national standards capability. The framework draws on total quality
management (TQM) models as its theoretical basis. However, this model can only be
applied to measure the strength and weaknesses of the overall independent variables
of QI against a number of pre-defined dependent variables and no firm performance
or SMEs performance included amongst these depended variables
Reference
Choi, G. D., Hyun, O., Hong, J. and Kang, B. (2014), “Standards as catalyst for
national innovation and performance – a capability assessment framework for
latecomer countries”, Vol. 25 No. 9, pp. 969–985.
Literature review – cont’d
Concepts of the National Standards Capability Assessment Framework (NSCAF) by Choi
et al (2014), is a combination of three pillars: Standardisation, Conformity Assessment and
Metrology and the seven assessment criteria.
Literature review – cont’d
Another recent study by Kafetzopoulos, Psomas and Gotzamani (2015)
identified the following three dimensions of firm performance, namely:
product quality, operational performance and business performance.
Reference
Kafetzopoulos, D.P., Psomas, E.L. and Gotzamani, K.D. (2015), “The impact of
quality management systems on the performance of manufacturing firms”, Vol.
32 No. 4, pp. 381–399.
Conformity
Assessment
Product Quality
Operational
measures
Business Performance
Metrology
Accreditation
H1+
H2+
H3+
H4+
Independent variables
(Quality Infrastructure)
ISO
standards
(Examples:
ISO 9001
ISO 17025
ISO 17020)
Dependent variables
(SMEs performance)
What is the conceptual framework for the study?
Conceptual Framework
Measures
Thirty items as identified below during literature review and these items will be used as
measures the following seven variables (1) Metrology; (2) Accreditation; (3) conformity
assessment; (4) ISO standards; (5) Product quality; (6) operational quality; (7) business
performance.
Variables Items Source
Metrology
Comparability
Traceability
Uncertainty reduction
Gonçalves and Peuckert, 2011
Frenz and Lambert, 2013
Accreditation
Competence
Transparency
Political independence
Gonçalves and Peuckert, 2011
Frenz and Lambert, 2013
Conformity
assessment
Confidence
Reliability
Conformity
Gonçalves and Peuckert, 2011
Frenz and Lambert, 2013
ISO Standards
Harmonization of product and
procedures
Coordination
Continuous improvement
Customer satisfaction focus
Prevention of non-conformances
Gonçalves and Peuckert, 2011
Product quality
Performance
Reliability
Durability
Product quality
Perceived quality
Conformance to specification
Kafetzopoulos, Psomas, and
Gotzamani, 2015
Operation quality
Company’s productivity
Company’s efficiency
Company’s process effectiveness
Company’s competitive advantage
Company’s ability to have access to
new domestic and foreign markets
Kafetzopoulos, Psomas, and Gotzamani,
2015
Business
performance
Company’s profitability
Company’s financial results
Company’s net profit margin
Company’s sales growth
Company’s market growth
Kafetzopoulos, Psomas, and Gotzamani,
2015
Research Methodology - Overview
Identify focus groups and participants
for the interview
Qualitative data collection from focus
groups and personnel interview
Designing of the survey instrument
Collection of quantitative data
Analysis of quantitative data
Phase 1
Qualitative data
Phase 2
Quantitative data
Analytical Tools and Procedures
An ordinary Least Square (OLS) regression method will be used to test if there is
statistical relationship between QI variables and SMEs performance. The regression
model will be developed for each hypothesis testing and be represented by the
following formula:
iji iY = X +
Where is the regression coefficient for variable i in model j, ij
i = 1, 2, 3 and j = 1, 2, 3, 4
i is the error term for regression model j,
11 11Model 1: Independence = (Metrology) +
Model 2: Independence = 12 (Accreditation) + 12
Model 3: Independence = (conformity assessment) + 1313
Model 4: Dependence = SMEs performance = (metrology) + (Accreditation) +
(Conformity Assessment) +
1424
34 14
The regression model will be developed for each hypothesis testing and it is expected
to be represented by the following formula:
Analytical Tools and Procedures – cont’d
Expected Results & Conclusions
It is expected from the results that there would be a positive relationship
between the dependent and Independent variables as indicated by the
regression model. The direction between these variables is expected to be in the
direction as postulated in the model
The study will further argue that lack of awareness on a QI by SMEs
managers/owners may lead to a negative relationship between QI constituencies
(namely: standardization, metrology, accreditation and conformity assessment),
subsequently affecting their business performance.
Furthermore, it is expected that a QI will have a positive influence on SMEs
performance with the direction of influence as postulated in the proposed
conceptual framework
Acknowledgements
The researcher express his deepest gratitude to SANAS management and
colleagues for their continued support and allowing this journey of research and
imagination .
The overwhelming support and advice from the supervisor, Professor Ramphal
from UNISA, is immeasurable and one is looking forward to his future guidance
as one continues to “imagine it and measure it”