Dynamics of agricultural micro, small and medium enterprise life-cycle financing and implications for sector development in Zimbabwe

Small, micro and medium-scale enterprises (SMMEs) contribute significantly to economic growth, employment and boosting the livelihoods of the poor in Zimbabwe. In the context of the Fast-track Land Reform and Re-distribution programme, agricultural SMMEs are viewed as the main pillar that anchors the recovery of the agricultural sector. Despite the key role they play, these SMMEs operate in a financially constrained environment in which access to funding is limited. In such a context, the ability of the SMMEs to perform their role depends on the strategic use of limited funding. One way to achieve this is to ensure that the funding used at each of the life-cycle stages of the business is the most suitable in addressing the main threats to business success. Much has been studied about how the supply-side factors have constrained growth and development. However, very limited focus has been placed on how SMME owners use the limited funding secured to address the main operational problems faced. The funding behaviour of the owners has to support the supply-side initiatives if the SMMEs are to survive and fulfil their envisaged role in the economy. This study thus analyses the use of funding by the owners along the business life-cycle based on a six-stage life-cycle model. It further analyses the suitability of such funding given the unique operational needs and challenges per stage as well as best practices. The specific objectives of the study are to identify the level of knowledge that SMME owners have about the financing options available and which ones are mostly used, determine the use and suitability of life-cycle financing focusing on agricultural SMMEs and also determine the most suitable life-cycle funding in terms of best practices for sector development. A cross-sectional survey research design was used given the lack of accurate time-series data and it followed a mixed-methods approach. Quantitative and qualitative data were analysed. The owners or managers of agricultural SMMEs and the institutions providing funding constituted the two populations studied. A multiple-stage sampling strategy was used to determine a final sample of 320 owners of agricultural SMMEs while purposive sampling was used to draw a sample of 12 main SMME financing institutions. A semi-structured questionnaire was used to collect data from the owners while an administered semi- structured questionnaire was used for financing institutions. The unit of analysis was the funding used along the business life-cycle. Frequency, binary logistic regression, Chi-Square tests of association and Odds-ratio analysis were used for quantitative data analysis while Qualitative-failure mode, effects and criticality analysis (Q-FMECA) and thematic analysis were used to analyse qualitative data. Results show a persistent rather than transitory reliance on internal funding contrary to theoretical propositions on life-cycle financing. Overall, life-cycle funding used was not in line with best practices for funding SMMEs especially in financially constrained environments where funding should be effectively and efficiently used. The study adds to literature on agricultural SMMEs funding in financially constrained environments and makes offers some policy recommendations to improve financing for development of the key subsector.Thesis (DPhil) -- Faculty of Management and Commerce, 202

Dynamics of agricultural micro, small and medium enterprise life-cycle financing and implications for sector development in Zimbabwe

Small, micro and medium-scale enterprises (SMMEs) contribute significantly to economic growth, employment and boosting the livelihoods of the poor in Zimbabwe. In the context of the Fast-track Land Reform and Re-distribution programme, agricultural SMMEs are viewed as the main pillar that anchors the recovery of the agricultural sector. Despite the key role they play, these SMMEs operate in a financially constrained environment in which access to funding is limited. In such a context, the ability of the SMMEs to perform their role depends on the strategic use of limited funding. One way to achieve this is to ensure that the funding used at each of the life-cycle stages of the business is the most suitable in addressing the main threats to business success. Much has been studied about how the supply-side factors have constrained growth and development. However, very limited focus has been placed on how SMME owners use the limited funding secured to address the main operational problems faced. The funding behaviour of the owners has to support the supply-side initiatives if the SMMEs are to survive and fulfil their envisaged role in the economy. This study thus analyses the use of funding by the owners along the business life-cycle based on a six-stage life-cycle model. It further analyses the suitability of such funding given the unique operational needs and challenges per stage as well as best practices. The specific objectives of the study are to identify the level of knowledge that SMME owners have about the financing options available and which ones are mostly used, determine the use and suitability of life-cycle financing focusing on agricultural SMMEs and also determine the most suitable life-cycle funding in terms of best practices for sector development. A cross-sectional survey research design was used given the lack of accurate time-series data and it followed a mixed-methods approach. Quantitative and qualitative data were analysed. The owners or managers of agricultural SMMEs and the institutions providing funding constituted the two populations studied. A multiple-stage sampling strategy was used to determine a final sample of 320 owners of agricultural SMMEs while purposive sampling was used to draw a sample of 12 main SMME financing institutions. A semi-structured questionnaire was used to collect data from the owners while an administered semi- structured questionnaire was used for financing institutions. The unit of analysis was the funding used along the business life-cycle. Frequency, binary logistic regression, Chi-Square tests of association and Odds-ratio analysis were used for quantitative data analysis while Qualitative-failure mode, effects and criticality analysis (Q-FMECA) and thematic analysis were used to analyse qualitative data. Results show a persistent rather than transitory reliance on internal funding contrary to theoretical propositions on life-cycle financing. Overall, life-cycle funding used was not in line with best practices for funding SMMEs especially in financially constrained environments where funding should be effectively and efficiently used. The study adds to literature on agricultural SMMEs funding in financially constrained environments and makes offers some policy recommendations to improve financing for development of the key subsector.Thesis (DPhil) -- Faculty of Management and Commerce, 202

A Process Modelling Framework Based on Point Interval Temporal Logic with an Application to Modelling Patient Flows

This thesis considers an application of a temporal theory to describe and model the patient journey in the hospital accident and emergency (A&E) department. The aim is to introduce a generic but dynamic method applied to any setting, including healthcare. Constructing a consistent process model can be instrumental in streamlining healthcare issues. Current process modelling techniques used in healthcare such as flowcharts, unified modelling language activity diagram (UML AD), and business process modelling notation (BPMN) are intuitive and imprecise. They cannot fully capture the complexities of the types of activities and the full extent of temporal constraints to an extent where one could reason about the flows. Formal approaches such as Petri have also been reviewed to investigate their applicability to the healthcare domain to model processes. Additionally, to schedule patient flows, current modelling standards do not offer any formal mechanism, so healthcare relies on critical path method (CPM) and program evaluation review technique (PERT), that also have limitations, i.e. finish-start barrier. It is imperative to specify the temporal constraints between the start and/or end of a process, e.g., the beginning of a process A precedes the start (or end) of a process B. However, these approaches failed to provide us with a mechanism for handling these temporal situations. If provided, a formal representation can assist in effective knowledge representation and quality enhancement concerning a process. Also, it would help in uncovering complexities of a system and assist in modelling it in a consistent way which is not possible with the existing modelling techniques. The above issues are addressed in this thesis by proposing a framework that would provide a knowledge base to model patient flows for accurate representation based on point interval temporal logic (PITL) that treats point and interval as primitives. These objects would constitute the knowledge base for the formal description of a system. With the aid of the inference mechanism of the temporal theory presented here, exhaustive temporal constraints derived from the proposed axiomatic system’ components serves as a knowledge base. The proposed methodological framework would adopt a model-theoretic approach in which a theory is developed and considered as a model while the corresponding instance is considered as its application. Using this approach would assist in identifying core components of the system and their precise operation representing a real-life domain deemed suitable to the process modelling issues specified in this thesis. Thus, I have evaluated the modelling standards for their most-used terminologies and constructs to identify their key components. It will also assist in the generalisation of the critical terms (of process modelling standards) based on their ontology. A set of generalised terms proposed would serve as an enumeration of the theory and subsume the core modelling elements of the process modelling standards. The catalogue presents a knowledge base for the business and healthcare domains, and its components are formally defined (semantics). Furthermore, a resolution theorem-proof is used to show the structural features of the theory (model) to establish it is sound and complete. After establishing that the theory is sound and complete, the next step is to provide the instantiation of the theory. This is achieved by mapping the core components of the theory to their corresponding instances. Additionally, a formal graphical tool termed as point graph (PG) is used to visualise the cases of the proposed axiomatic system. PG facilitates in modelling, and scheduling patient flows and enables analysing existing models for possible inaccuracies and inconsistencies supported by a reasoning mechanism based on PITL. Following that, a transformation is developed to map the core modelling components of the standards into the extended PG (PG*) based on the semantics presented by the axiomatic system. A real-life case (from the King’s College hospital accident and emergency (A&E) department’s trauma patient pathway) is considered to validate the framework. It is divided into three patient flows to depict the journey of a patient with significant trauma, arriving at A&E, undergoing a procedure and subsequently discharged. Their staff relied upon the UML-AD and BPMN to model the patient flows. An evaluation of their representation is presented to show the shortfalls of the modelling standards to model patient flows. The last step is to model these patient flows using the developed approach, which is supported by enhanced reasoning and scheduling

Ontological foundations for structural conceptual models

In this thesis, we aim at contributing to the theory of conceptual modeling and ontology representation. Our main objective here is to provide ontological foundations for the most fundamental concepts in conceptual modeling. These foundations comprise a number of ontological theories, which are built on established work on philosophical ontology, cognitive psychology, philosophy of language and linguistics. Together these theories amount to a system of categories and formal relations known as a foundational ontolog

The impact of project management process quality on construction project performance : a structural equation model

Abstract unavailable please refer to PD

Investigating methodologies for evaluating the effectiveness of Integrated Spatial Information System (ISIS) implementation in the valuation department of the City of Cape Town

Includes bibliographical references.The increasing need to develop fully integrated spatial information systems that help improve planning and decision making have led the countries to create partnerships as to facilitate the improved sharing of spatial data and to realise the full potential of spatial data infrastructure. In this process researchers and practitioners use appropriate methods, tools and frameworks to examine, analyse and evaluate the new implemented systems after its implementation. The attempt to find suitable methodologies for evaluating the effectiveness of the system has led to extensive research to develop, identify and test suitable methods and frameworks and to apply these to case studies. This research investigates the methodologies for evaluating the effectiveness of Integrated Spatial Information Systems (ISIS) implemented in the Valuation Department of the City of Cape Town. The spatial information systems of Valuation Department and the effectiveness of ISIS implementation in this Department are investigated

A Systematic Review Approach of Continuous Improvement Pillar Management Framework’s

Today’s market is constantly changing, so companies are required to continuously evolve their processes so that they can meet the increasingly complex requirements of stakeholders, from customer needs to sustainable policies. The application of Business Process Management improves its processes, bringing together all the activities carried out by the company that aim to generate value for the client. As a consequence, one of the biggest problems for companies is the absence of information management and communication with internal and external stakeholders. Duplication and deprivation are very common in these companies and generate a huge amount of waste. To solve this problem the developments done in this research work aims to generate a new way of looking to Business Management, focusing on companies that adopt Continuous Improvement, using a structured flow of tools and techniques. In structured approaches to Continuous Improvement management frameworks recurrently uses modelling support pillars. This study is based on a company that has implemented eight-pillar Total Productive Maintenance (TPM) and uses performance indicators to monitor the state of systems and processes. The first step involved the application of the Cluster, Discriminant and Principal Component Analysis, so that it was possible to aggregate the indicators of each pillar. The processes of strategic management of the company and management of the pillars have been taken into account. Through the proposed approach a reduction of around 86% in the total number of pillar of the company was obtained, avoiding diverse informational wastes through redundancies of information, increased reliability, coherence and ease of access to it as well as greater visibilities of their interactions and information responsibilities necessary to the management of systems management of continuous improvement, based on pillars of action

Modelling airport surface safety: a framework for a holistic airport safety management

Airports are complex systems involving the continuous interaction of human operators with the physical infrastructure, technology and procedures to ensure the safe and efficient conduct of flights. From an operational perspective, airport surface operations (i.e. runway and taxiway operations) require the interaction of five main stakeholders (i.e. crew or pilots, air traffic control, airport operator, ground handling and regulator) both to facilitate the ground movement of aircraft and vehicles, and to maintain the surface in a working condition. The complexity of these operations makes the runway and taxiway system vulnerable and presents a risk of failure with the consequent potential for the occurrence of accidents. Therefore, the development and implementation of an effective Safety Management System (SMS) are required to ensure the highest level of safety for surface operations. A SMS is a systematic approach to managing safety based on the four cornerstones of safety policy and objectives, risk management, assurance, and safety promotion. Although the International Civil Aviation Organisation (ICAO) provides the global legislative framework for SMS, the relevant regulations are still to be established at the national level with the consequence that practical guidance on the development and implementation of SMS is rare, and reliable tools to support SMS are lacking. The consequence of this is that the current approach to surface safety management is piecemeal and not integrated. Typically, a single accident and incident type is investigated from the perspective of an individual stakeholder with the consequence that resulting proposals for safety mitigation measures are biased and limited in terms of their impact. In addition, the industry is characterised by non-standardised data collection and investigation practices, insufficient or missing definitions, differing reporting levels, and a lack of a coherent and standardised structure for efficient coding and analysis of safety data. Since these shortcomings are a major barrier to the required holistic and integrated approach to safety management, this thesis addresses the four cornerstones of SMS and recommends major enhancements. In particular, a framework for a holistic airport surface safety management is proposed. The framework comprises the static airport architecture, a process model of surface operations, the determination of causal factors underlying failure modes of these operations, a macroscopic scenario tool and a functional relationship model. Safety data and other data sources feed the framework and a dedicated data pre-processing strategy ensures its validity. Unlike current airport surface safety management practices, the proposed framework assesses the safety of the operations of all relevant actors. Firstly, the airport architecture is modelled and the physical and functional variability of airports defined. Secondly, a process model of surface operations is developed, which captures the tasks of the stakeholders and their interactions with physical airport surface infrastructure. This model serves as a baseline model and guides the further development of the airport SMS. To manage the safety of surface operations, the causes of accidents and incidents must be identified and their impacts understood. To do so, a reference data set combining twelve databases from airlines, airport operators, Air Navigation Service Providers (ANSPs), ground handling companies and regulators is collected. Prior to its analysis, the data is assessed for its quality, and in particular, for its internal validity (i.e. precision), external validity (i.e. accuracy) and in terms of reporting levels. A novel external data validation framework is developed and each database is rated with a data quality index (DQI). In addition, recommendations for reporting systems and safety policies are given. Subsequently, the data is analysed for causal factors across stakeholders and the contribution of the individual actors are highlighted. For example, the analysis shows that the various stakeholders capture different occurrence types and underlying causal factors, often including information that is of potential use for another party. The analysis is complemented by interviews, observations and statistical analysis, and the results are summarised in a new taxonomy. This taxonomy is applicable to all relevant stakeholders and is recommended for operational safety risk management. After the airport surface operations have been modelled and the drivers to safety identified, the results are combined, resulting in a macroscopic scenario tool which supports the management of change (i.e. safety assurance), training and education, and safety communication (i.e. safety promotion) functions of the SMS. Finally, a structured framework to assess the functional relationship between airport surface accidents / incidents and their underlying causal factors is proposed and the system is quantified in terms of safety. Compared to the state-of-the-art safety assessments that are biased and limited in terms of their impact, the holistic approach to surface safety allows modelling the safety impact of each system component, their interactions and the entire airport surface system architecture. The framework for a holistic airport surface safety management developed in this thesis delivers a SMS standard for airports. The standard exceeds international requirements by standardizing the two SMS core functions (safety risk management and safety assurance) and integrating safety-relevant information across all relevant stakeholders. This allows a more effective use of safety information and provides an improved overview on, and prediction of, safety risks and ultimately improves the safety level of airports and their stakeholders. Furthermore, the methodology employed in this thesis is flexible and could be applied to all aspects of aviation SMS and system analysis.Open Acces