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Since the deregulation of power systems was started in 1989 in the UK, many countries have been motivated to undergo deregulation. The United State started deregulation in the energy sector in California back in 1996. Since that time many other states have also started the deregulation procedures in different utilities. Most of the deregulation market in the United States now is in the wholesale market area, however, the retail market is still undergoing changes. Deregulation has many impacts on power system network operation and control. The number of power transactions among the utilities has increased and many Independent Power Producers (IPPs) now have a rich market for competition especially in the green power market. The Federal Energy Regulatory Commission (FERC) called upon utilities to develop the Regional Transmission Organization (RTO). The RTO is a step toward the national transmission grid. RTO is an independent entity that will operate the transmission system in a large region. The main goal of forming RTOs is to increase the operation efficiency of the power network under the impact of the deregulated market. The objective of this work is to study Internet based Wide Area Information Sharing (WAIS) applications in the deregulated power system. The study is the first step toward building a national transmission grid picture using information sharing among utilities. Two main topics are covered as applications for the WAIS in the deregulated power system, state estimation and Total Transfer Capability (TTC) calculations. As a first step for building this national transmission grid picture, WAIS and the level of information sharing of the state estimation calculations have been discussed. WAIS impacts to the TTC calculations are also covered. A new technique to update the TTC using on line measurements based on WAIS created by sharing state estimation is presented. / Ph. D.

Situation (al) awareness (SA) is critical to analyze, predict and perform tasks effectively in a dynamic environment. Many studies on SA have ignored network dynamism and its effect on SA, focusing on simple environments. Many studies involving the network and SA have refrained from attempting to model information space dynamism (i.e. dynamic scenarios which may have more than one probable outcome). Few studies have identified the need for a flexible, robust and overarching framework which could model both the network and information space dynamisms and provide for analysis of different types of networks (heterogeneous/homogeneous) at multiple scales. We utilize the NCOPP (Network Centric Operations Performance & Prediction), a uniform framework with "plug-&-play" capabilities to provide analysis and performance prediction of networked information systems. In this work, we demonstrate the flexibility of the NCOPP framework and its ability to model a hierarchical sensor system satisfactorily. We model the network & information space dynamisms using probability and statistics theory (e.g. Bayesian prediction, probability distribution curves). We model the behavior of entities/nodes involved in the process of sharing information to achieve greatly improved situation awareness about a dynamic environment within hierarchical information network systems. Our behavior model mathematically represents how successful/unsuccessful predictions critically impact the achievement of effective situation awareness. In the behavior model, we tie together the cost of considering predictions which accounts for limited resources and the indirect effect of unsuccessful predictions. We research and show how the NCOPP framework can model real world networked information systems at different levels of granularity. We leverage the framework's capabilities to perform experiments that not only assist in an objective comparison of distributed information filtering and central data processing paradigms but also provide important insights into the effect of network dynamism on the quality and completeness of information in the system. We demonstrate the ability of incorporating key network information, in the process of achieving SA to improve the performance of the system. We exhibit the improvement in performance achieved with inclusion of the network characteristics during dynamic allocation of resources. We were able to show that simple hierarchical filtering (via distributed processing) results in significant reduction in the information in regards to "false alarms" when compared to systems employing central information processing. Experimental results show a direct positive impact in the completeness of SA when information sharing in hierarchical systems is supplemented by network delay information. Overall, we demonstrated the ability of the NCOPP framework to provide meaningful insights into the interactions of key factors involved in operation of networked information systems, with a particular emphasis on SA. / Master of Science

This dissertation examines organizational level outcomes within a whole network--the national network of fusion centers. Fusion centers are state and local organizations that fuse threat-related intelligence and information by working with federal, state, and local law enforcement as well as other security partners in the public and private sectors. This research will ask why outcomes at the fusion center level vary within the network by exploring unique configurations of conditions at multiple levels of analysis. The results of the research will present evidence that suggests whole network effectiveness cannot be fully comprehended without first examining sub-network level impacts, such as the training or experience of analysts, organizational capacities, and the roles of relationships between network actors. This line of inquiry has ramifications for inter-organizational network theory building because it will demonstrate the individual importance of these factors, and how they interact with other factors at multiple levels within a network to influence outcomes. For practitioners in the domestic intelligence community this research will provide important insights and present paths taken by organizations in a national network to achieve a desired or undesired outcome. / Ph. D.

No / The purpose of this paper is to explore the determinants of relationship quality (hereafter referred to as RQ) and its impact on customer loyalty within an emerging retail banking market through a dual-lens theory. The research informants were recruited from a city in South-eastern Nigeria. A quantitative data obtained through bank-intercept method and online survey from 332 customers of retail banking services formed the final database. The proposed model and by implication the research hypotheses were tested using partial least squares structural equation modelling procedure. he results show that customer orientation, expertise and information sharing are stimulus factors that directly influence the constructs of RQ (i.e. trust and satisfaction and indirectly influence customer loyalty through the constructs of RQ. The paper also demonstrates that the stimulus factors are direct predictors of consumers’ response. The proposed model explained 49 per cent of the total variance in customer loyalty. Customer orientation, expertise and information sharing are stimulus factors that improve RQ and customer loyalty. However, the explanatory power of the proposed model is modest. Future research should therefore integrate other determinants of RQ. The paper contributes to the growing body of stimulus-organism-response (S-O-R) literature within the retail environment by exploring unique stimulus and organism variables from an emerging retail banking market perspective. Additionally, by showing that the stimulus factors are direct predictors of consumers’ response, the paper challenged the existing tenets of the S-O-R framework and deepened the current understanding of the model. The paper also contributes to the social exchange theory by demonstrating how the components of RQ mediate the antecedents and consequences of the construct.

Yes / Although scholars have recognized that alertness is critical in identifying and exploring opportunities, empirical studies exploring when alertness drives innovation are lacking. Drawing insights from the cognitive and contingency perspectives, the current study addresses this gap in by arguing that variations in firm product innovativeness is a function of degree of entrepreneurial alertness and levels of internal firm capabilities and environmental conditions. Data were collected from from 385 small and medium-sized enterprises (SMEs) in Ghana. This study used the hierarchical regression estimation technique to analyses the data and found that a significant positive relationship between entrepreneurial alertness and firm product innovativeness. Moreover, the findings showed that entrepreneurial alertness is beneficial for firms to innovate when pressures from customers and competitors are intense. Finally, the results revealed that stronger market information sharing and technological opportunism also amplify the alertness-innovativeness relationship.

Globalization and the surge of competition across industries forced companies to improve their supply chain capabilities to serve their customers efficiently and effectively. Due to this fact, businesses are no longer capable of handling all supply chain operations without collaboration and coordination with other firms. One of the key obstacles to coordination is the lack of information sharing and trust between firms since they view information as a sensitive asset. Digital technologies like blockchain, with its inherited features, have the capability to facilitate real-time information sharing, solve trust issues, and improve end-to-end visibility across the supply chain. This licentiate thesis highlights the impact of multiple aspects of information sharing on the bullwhip effect mitigation and explores the potential of blockchain technology as a new coordination mechanism for reducing information distortions, enhancing trust, and orchestrating decision making. Three research papers have been produced within this context and are appended to the thesis. Paper A presents an information sharing-based blockchain architecture to mitigate the bullwhip effect in service supply chains. Paper B aims to explores the literature in terms of using multiple aspects of information sharing to lessen the bullwhip effect. Finally, Paper C introduces an agent-based modeling and simulation approach for two aspects of information sharing: “what to share” and “how to share.” The results show that blockchain technology does provide a significant solution to trust-based issues and information sharing visibility considering the bullwhip effect mitigation. The results also provide a guide for supply chain managers to achieve better coordination and serve as a roadmap for supply chain researchers.

Research has validated the contribution of information sharing to performance improvement. It has also suggested that flexibility is a highly important competitive priority for those companies where demand is volatile. Several studies argue that flexibility has been recognized as a key enabler for supply chain responsiveness. However, the impact of information sharing on supplier flexibility is still unexplored, especially for the companies that operate in agile business environments such as in the automotive industry where flexibility is a strategic requirement to manage demand uncertainty. In agile supply chains, such as in the automotive industry, information sharing can play an important role in responding to demand variability. In such settings, the demand volumes generally fluctuate, and hence create production-scheduling problems for the upstream suppliers such as first-tier suppliers. Interestingly, the impact of demand fluctuations on suppliers is higher than that of Original Equipment Manufacturers (OEMs). The aim of this doctoral thesis is to investigate the role of information sharing between OEMs and first-tier suppliers, in enhancing supplier flexibility. Particularly, the research focuses on exploring the relationship between sharing demand schedules and inventory data, and volume and delivery flexibility. The questions on whether information sharing between OEMs and first-tier suppliers affect supplier flexibility remain unanswered. The following research questions have emerged:  RQ1: How does information sharing between OEMs and first-tier suppliers affect the latter's responsiveness to fluctuating demand? RQ2: What is the relationship between information sharing of OEMsʼ demand forecasts and inventory data, and suppliers’ volume and delivery flexibility? RQ3: What factors should OEMs consider to improve the sharing of demand forecasts with suppliers? The empirical part of this thesis comprises three individual studies that constitute the empirical foundations of the research problem. Each study analyzes one research question using its own methodological approach. Hence, different research methods for collecting and analyzing data were used to address the research questions. Applying different research methods is deemed advantageous because it allows for methodological rigorousness in this doctoral thesis. This thesis contributes to the body of knowledge in three dimensions—theory, method, and context. First, it contributes to the academic field of operations and supply chain management by developing a model to explain how information sharing could affect suppliers’ delivery performance. The model provides a measurement scale to measure the level of information sharing between OEMs and suppliers, and its impact on suppliers’ delivery flexibility. Second, this thesis contributes to the methods by using state-of-the-art techniques, which is partial least squares structural equation modeling (PLS-SEM) including consistent PLS, and applying advanced concepts to empirically test the proposed model. Third, this thesis has a managerial contribution to examine the concept of information sharing and flexibility at the supplier level. Investigating the problem at the supplier level may enable managers to improve short-term decisions, such as production scheduling decisions, internal production, and inventory processes, and evaluate collaboration practices with OEMs. This doctoral thesis is organized in a monograph format comprising five chapters: Introduction, Literature review, Methodology, Empirics, and Conclusion. As an outcome, several scientific articles have emerged from this thesis and have been submitted for consideration for publication in peer-reviewed journals and international conferences in the field of operations and supply chain management. These articles are listed and appended at the end of this dissertation. / <p>QC 20160302</p>

This research study is qualitative exploratory in nature, trying to gain insight into integrated communication at Eskom. The study presents the methodology of the investigation, the analysis of the data, the findings as well as the conclusion and recommendations. Data collection techniques include an online self-administered questionnaire, structured questionnaire, focus group discussions and content analysis of the organisations’ publications. The population selected consists of Eskom communication managers and professionals, human resources personnel and project managers to establish the extent to which integrated communication is practised within Eskom. Finally, the research findings are discussed and further recommendations proposed. The findings show that Eskom communication is predominantly top-down with the divisions still working in silos. Furthermore, a measuring instrument developed to evaluate the extent of integrated communication as proposed by Du Plessis and Scoonraad in Barker and Angelopulo (2006) were found to be applicable to the Eskom situation. / Communication Science / M.A. (Specialisation in Organisational Communication Research and Practice)