published_or_final_version / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy

This dissertation examines task specialization in the public administration profession through studying the job tasks that a public procurement practitioner performs, manages, and both performs and manages. The purpose of this dissertation was to establish a baseline to benchmark what these practitioners actually do on their jobs. Factor analysis was used to study a data set of 2,549 respondents that were administered a survey by the Universal Public Procurement Certification Council (UPPCC) in 2012. The research question to be answered involved addressing what job tasks public procurement practitioners perform, manage, and both perform and manage. Hypotheses were examined that predicted task specialization existing within public procurement to the extent that practitioners in more senior job positions display more task specialization and that practitioners from larger organizations also display more task specialization. A review of literature discusses the alternative perspectives on what constitutes professionalism in the public sector. The reasons for focusing on public procurement professionalism were subsequently presented through the literature. The various views of what entails professionalism in public administration were discussed as to responsibility (Stivers, 1994), sociological issues (Simon, 1947), constitutional issues (Lowi, 1995; Rohr, 1986), technical specialization and empirical rigor (Parsons, 1939), as means of contextualizing the nature of public administrators’ roles and responsibilities in conjunction with the job tasks that are executed. Factor analysis was conducted on 75 job tasks in order to identify relationships between practitioner job tasks for the purposes of finding out what it is that public procurement practitioners actually do for their work. The job tasks found to share relationships may be grouped together for further inquiry into the nature of the relationships between job tasks and overarching competency areas of related job tasks. Additionally, factor analyses were conducted to identify relationships between job tasks in public procurement and control variables such as organization size and job position, which were predicted to impact whether or not practitioners perform, manage, both perform and manage, or do neither, for each of the job tasks surveyed. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection

Wong, Chun Hung Eliphas. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (leaves 74-78). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.v / Thesis/Assessement Committee --- p.vi / List of Figures --- p.xi / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Literature Review --- p.13 / Chapter 1.2 --- K-Convexity --- p.16 / Chapter 1.2.1 --- "The (s, S)policy and cardinal optimality equation form" --- p.17 / Chapter 2 --- Inventory Problem --- p.25 / Chapter 2.1 --- Two-channel Inventory Model --- p.26 / Chapter 2.1.1 --- Model Formulation --- p.27 / Chapter 2.2 --- The total expected cost and constraints --- p.34 / Chapter 2.3 --- The optimality equation --- p.37 / Chapter 3 --- The two phase optimal policy --- p.40 / Chapter 3.1 --- Deviation of two phase optimal policy --- p.41 / Chapter 3.1.1 --- "First phase optimization - The (s, S, s') policy" --- p.42 / Chapter 3.1.2 --- Second phase optimization --- p.46 / Chapter 3.2 --- More about the optimal policy --- p.60 / Chapter 4 --- Further discussion and conclusion --- p.64 / Chapter 4.1 --- Multi-period problem --- p.65 / Chapter 4.1.1 --- Model formulation --- p.65 / Chapter 4.1.2 --- The challenges in extending the optimal policy --- p.67 / Chapter 4.2 --- Conclusion --- p.69 / Bibliography --- p.74

Thesis (MBA.) -- University of Limpopo, 2015 / Refer to document

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Interest in the supply chain management concept by the construction research community arose from the successful implementation by manufacturing sectors to resolve firm and industry performance problems. Construction industry policymakers have appropriated the concept. Researchers tend to develop normative models to improve industry performance through supply chain integration. Such models are based upon the assumption of an homogeneous industry which is fragmented and composed of numerous small to medium sized enterprises. Policymakers are seeking positive economic models however policies are not based upon an explicit detailed understanding of the nature of the industry nor an explicit model of firm and industry performance. The positive economic model accepts that the industry is specialised and heterogenous with varied structural and behavioural characteristics across individual markets. The greatest difficulty with supply chain management in terms of construction research theory and practical application is that currently too little is known about these characteristics and how to describe them. / Procurement modelling across the supply chain is fundamental to describing the underlying structure and behaviour of the industry. The industrial organisation economics theory was examined for its contribution and the structure-conduct-performance methodology was modified to develop a project oriented industrial organisation economic model for procurement in the construction supply chain. The model defines entities such as firms, projects, markets and firm-firm relationships and their relative associations. The model was static and nomothetic in approach and lacked the capacity to represent the duality of structure and behaviour of entities and individual procurement and project scenarios. The object-oriented methodology was used to address this and reinterpret the construction supply chain using the Unified Modelling Language. The model is interdisciplinary and merges industrial organisation economics and object-oriented methodology. Structural and behavioural model views of real world procurement in construction supply chains were developed based upon six major building projects in an Australian city. On thousand two hundred and fifty three procurement relationships were mapped using data collected from forty seven structured interviews and forty four questionnaires. / The data analysis was qualitative and quantitative. Data display techniques were used to describe common themes and differences to develop an ideographic view of procurement. A statistical categorical data analysis provided a nomothetic view by comparing observed procurement results versus likelihood of expected results. The findings indicate that classifications of objects within the supply chain procurement model provides clues to structure and behaviour. Eight structural organisation maps of key construction industry commodities describe typical channels according to the type of commodity and the major groupings within the commodities. Supply chains can be classes according to attributes including uniqueness, property sector, importation and specialisation. Supplier firms can be classed by: commodity significance and countervailing power. The procurement relationships between firms can be classified based upon risk and expenditure, transaction significance and negotiation attributes. There are patterns of behaviour in the industry reliant upon a set of “if / then” type rules. This study concludes that the perception of the industry as fragmented, unstructured, unpredictable and high risk is a simplistic view of what is in reality a complex set of varied and numerous markets with degrees of predictability. Contrary to the traditional view, procurement is a strategic activity. This study highlights numerous research opportunities particularly in the area of interdisciplinary construction industry studies.

Research Purpose: Customer focus has become increasing critical in order for organisations to effectively compete. Organisations operate in continuously changing environments, with dynamic customer needs requiring that organisations frequently revisit their strategic objectives. Supply chain integration provides organisations with an opportunity to keep up with these changing environments, offering a platform for collaboration with external partners. This research explores three of the customer-focused supply chain capabilities and their relationship with organisation’s operational efficiency and overall performance Research Methodology: A quantitative and descriptive correlational research approach was conducted, with a self-administered online survey questionnaire sent to selected employees of FMCG organisations. A basis of the research was formed through a literature review focused on supply chain integration, in particular on the three forward-integration capabilities of customer-closeness, use of integrative technologies, and information and knowledge sharing. The research carried out descriptive analysis and correlational testing between the forward-integrated supply chain capabilities, and operational efficiency and overall organisational performance effects. Research Findings: analysis carried out suggests that the three forward-integration capabilities contribute positively to process improvement of supply chain integration efficiency and organisational performance. Organisations should increase focus on their relationship with customers, embrace the use of technology and employ information as a strategic resource. / Dissertation (MBA)--University of Pretoria, 2013. / lmgibs2014 / Gordon Institute of Business Science (GIBS) / MBA / Unrestricted

The objective of this research is to determine if the generally accepted supply chain competency frameworks are in fact applicable to dynamic markets. Many studies into supply chain competencies have been conducted but these have largely focussed on developed markets. With the onset of globalisation and emerging economies competing for a bigger piece of the global economy, supply chain skills have become even more critical as supply chains, rather than organisations, compete. A survey was done amongst supply chain practitioners in both dynamic and developed markets. The survey was issued to test the extent to which the widely accepted supply chain competencies are important to supply chain practitioners in dynamic markets. After confirming the reliability of the results, it was found that respondents in dynamic markets accepted that the competencies as articulated in supply chain competency frameworks were in fact applicable and relevant to supply chain practitioners in dynamic markets. The study also found that while there is strong dynamic market alignment with the competencies, supply chain practitioners differed with their developed world counterparts about the importance of some of the individual competencies. Even though this research has some limitations due to a relatively small sample that is essentially localised to the mining industry, its implications for supply chain practitioners should not be ignored. Also, there is a possibility that the APICS competency model may not have accurately reflected the competency requirements that are characteristic of the supply chain practitioners in dynamic markets. This study can be used as a basis for future research; for example: the perceptions of supply chain practitioners across multiple industries and organisations can be compared. Also, a mix of qualitative and quantitative data collection and analysis could be used to gain an in-depth understanding of the requisite supply chain skills and competencies / Dissertation (MBA)--University of Pretoria, 2013. / pagibs2014 / Gordon Institute of Business Science (GIBS) / MBA / Unrestricted

The main research problem addressed in this study was to determine the key factors required by purchasing and supply departments in the automotive manufacturing industry to be efficient and effective. To achieve this objective, it was necessary to identify five sub-objectives which were, firstly, to determine the extent to which the purchasing and supply departments in the automotive industry believe that certain key factors in pricing, quality and supplier management are required to achieve excellence. Secondly, to identify if the purchasing and supply departments in the automotive industry actually implement the key factors on pricing, quality and supplier management in practice. Thirdly, to determine if there are any additional factors other than these key factors that business firms regard as key factors to be classified as worldclass purchasing and supply departments. Fourthly, to analyse why purchasing and supply departments in the automotive manufacturing industry do not always implement these key factors. Lastly, to identify any other factors that could have a significant negative impact on the performance of purchasing and supply departments. The study commenced with an analysis and review of relevant literature from various text books, journals, publications and internet sources. The literature study covered issues such as price determination, cost management, basic negotiation strategies, managing supplier quality and the supplier base, as well as a general overview of the latest developments in purchasing and supply management in business. The purpose of the literature analysis was to establish a theoretical basis for the design of the questionnaire which was used as a research instrument in this study. A survey was conducted among selected automotive assemblers and their first and second tier manufacturing suppliers in the automotive industry. The main areas of focus in the questionnaire were pricing, quality, and supplier management. As the questions in the questionnaire related to the purchasing and supply department of a business firm, a qualified and experienced buyer in the purchasing and supply department was identified in each firm to complete the questionnaire. The empirical results from the study conducted indicated that the respondents were in strong agreement with the proposed importance of the factors of pricing, quality, and supplier management required to achieve xcellence. However, the respondents also indicated that there were various obstacles which prevented the firms from implementing these key factors. Some of the obstacles mentioned were long lead times, late deliveries from suppliers, too few competitors in the market place, supplier capacity constraints and the sustainability of suppliers. Additional obstacles that the study identified were the high workload of buyers in general, incompetent staff and insufficient manpower that affected the performance of a purchasing and supply department. The buyers were not only performing buying activities, but were also involved in logistics related activities, which increased their workload and negatively affected their performance. Lack of specialised purchasing and supply chain knowledge was identified as another obstacle to achieving excellence. The empirical study highlighted some recommendations to assist purchasing and supply departments in the automotive industry to achieve excellence and become world-class departments. Examples of these recommendations are that suppliers need to be educated on how to understand their costing models and to check their own sustainability; local purchasing and supply departments require training in the purchasing skills such as incoterms, delivery times, minimum and maximum order quantity; as well as the payment terms. Buyers should be trained to become experts in their products and packaging, as well as the manufacturing process of the product they are purchasing The business firm should only employ qualified buyers who have financial and administrative skills, as well as the ability to adapt to change and work in teams. Buyers also need to master the in-house systems and work procedures involved in purchasing a product. The empirical study also identified that the majority of buyers in the automotive manufacturing industry are senior buyers, male in gender and between the ages of 40-49. The implementation of the recommendations based on the study’s empirical findings will assist in improved pricing, quality and supply management in the automotive manufacturing industry.

Effective supply chain management gains much attention from industry and academia because it helps firms across a supply chain to reduce cost and improve customer service level efficiently. Focusing on one of the key challenges of the supply chains, namely, demand uncertainty, this dissertation extends the work of Zhao, Xie, and Leung so as to examine the effects of forecasting method selection coupled with information sharing on supply chain performance in a dynamic business environment. The results of this study showed that under various scenarios, advanced forecasting methods such as neural network and GARCH models play a more significant role when capacity tightness increases and is more important to the retailers than to the supplier under certain circumstances in terms of supply chain costs. Thus, advanced forecasting models should be promoted in supply chain management. However, this study also demonstrated that forecasting methods not capable of modeling features of certain demand patterns significantly impact a supply chain's performance. That is, a forecasting method misspecified for characteristics of the demand pattern usually results in higher supply chain costs. Thus, in practice, supply chain managers should be cognizant of the cost impact of selecting commonly used traditional forecasting methods, such as moving average and exponential smoothing, in conjunction with various operational and environmental factors, to keep supply chain cost under control. This study demonstrated that when capacity tightness is high for the supplier, information sharing plays a more important role in effective supply chain management. In addition, this study also showed that retailers benefit directly from information sharing when advanced forecasting methods are employed under certain conditions.