Prof. S.H. von Solms

The use of architectures for the design, development, and documentation of system-of-systems engineering has become a common practice in recent years. At the same time, acquisition guidance has been recently reformed to move from the bottom-up approach of the Requirements Generation System (RGS) to the top-down approach mandated by the Joint Capabilities Integration and Development System (JCIDS), which requires the use of DoDAF to support acquisition. Defense agencies have had difficulty adjusting to these new policies, and are struggling to determine how to meet new acquisition requirements. This research has developed the Architecture-based Technology Evaluation and Capability Tradeoff (ARCHITECT) Methodology to respond to these challenges and address concerns raised about the defense acquisition process. The methodology integrates existing tools and techniques for systems engineering and system of systems engineering with several new modeling and simulation tools and techniques developed as part of this research to fill gaps noted in prior CBAs. Additional criteria for the methodology were developed by leveraging lessons learned from similar fields, including management science and cognitive psychology. A suppression of enemy air defenses (SEAD) mission is used to demonstrate the application of ARCHITECT and to show the plausibility of the approach. Overall, it is shown that the ARCHITECT methodology results in an improvement over current CBAs in the criteria developed here.

The technology for storing and using big data is evolving rapidly and those that can keep pace are likely to garner additional competitive advantages. One approach to uncovering existing practice in a manner that provides insights for building theory is the use of grounded theory. The current research employs qualitative research following a grounded theory approach to explore gap in understanding the relationship between big data (BD) and the supply chain (SC). In this study eight constructs emerged: Organizational and environmental factors, big data and supply chain analytics, alignment, data governance, big data capabilities, cost of quality, risk analysis and supply chain performance. The contribution of this research resulted in a new theoretical framework that provides researchers and practitioners with an ability to visualize the relationship between collection and use of BD and the SC. This framework provides a model for future researchers to test the relationships posited and continue to extend understanding about how BD can benefit SC practice. While it is anticipated that the proposed theoretical framework will evolve as a result of future examination and enhanced understating of the relationships shown the framework presented represents a critical first step for moving the literature and practice forward.

The aim of this research is to evaluate the level of service quality provided by Eskom to its Large Power User (LPU) customer segment in the Eastern Cape. The research uses the SERVQUAL model in order to assess the customers’ expectations and perceptions of the service provided by Eskom. This evaluation report comprises three sections. Section one consists of (a) a review of service quality literature that exists and is applied to Eskom where relevant, (b) a summary of the method used to conduct the research, (c) the research findings, and (d) a discussion of the research findings and recommendations. Section two consists of a review of the key concepts identified for this study as follows: (a) defining customer service quality by looking at the concepts of the customer, service, quality and the dimensions of quality, (b) the importance of service quality, (c) the components of service quality in Eskom, (d) models of service quality, and (e) the SERVQUAL model used in this study. Section three consists of the detail of the research methodology used to conduct this study. The Gap Model of Service Quality (Parasuraman et al., 1985:44) is evaluated in order to understand the gaps between expected and perceived service. The provider gap (Zeithaml et al., 2006: 34) is also reviewed in order to identify the gaps that occur within the organisation. An extensive review of customer service quality models is undertaken before a discussion of the SERVQUAL model, which was used in this evaluation study, is provided. The researcher adopted the critical realism research paradigm and quantitative data was collected from a sample of 120 Eskom customers within the LPU customer segment in the Eastern Cape. These customers were randomly selected from the Eskom Customer Care and Billing database and comprised customers from Port Elizabeth, Aliwal North, Mthatha and East London Areas within the Eastern Cape. The data was collected online through a questionnaire which was based on SERVQUAL and modified for electricity services. The quantitative data obtained from the study is presented in the form of tables and graphs created from the data obtained from the 45 customers who responded to the questionnaire. The gaps between LPU customer perceptions and expectations were calculated for the five SERVQUAL dimensions. The research identifies the existing gaps in the service delivered by Eskom; this is based on the perceptions and expectations of the LPU customers in the Eastern Cape, who participated in the study. The results reveal that gaps exist between LPU customer perceptions and their expectations of the service provided by Eskom in the Eastern Cape. The key findings reveal that the largest gaps are within the reliability and empathy dimensions and the smallest gap is in the tangibles dimension. The recommendations were made on the basis of the gaps which were identified and these focus on the training of the front line staff responsible for servicing customers. It is recommended that this training should include an overview of the organisation’s policies and procedures to enable employees to respond adequately to customer queries. Recommendation is also made on training staff to interact with customers effectively in order to resolve customer queries satisfactorily. Finally, it is recommended that regular assessments of the existing customer service quality levels are conducted in order for the organisation to remain aware of the current customer perceptions and expectations