Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 128 for “"data-driven decision making"”.
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Data-driven decision making : an adoption framework
The ever increasing abundance of data and advancement of new technologies opens up new possibilities for companies in all segments and causes entire industries to rethink their business models. While there are a multitude of ways for companies to capture these new data-enabled opportunities, an …
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Data-Driven Decision Making in Operations Management
… alike. Towards this goal, this thesis develops data-driven decision-making methods for a selection of challenging emerging problems in supply chain and other business operations. In the first module of the thesis (Chapters 2 and 3), we invent reinforcement learning methods with provable …
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The Modeling Spectrum of Data-Driven Decision Making
Data-driven decision-making has become an essential part of modern life by virtue of the rapid growth in data, the massive improvements in computing power, and great progress in academic research. The range of techniques used fall broadly on the spectrum that varies from model-based to applied, …
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The observatory : designing data-driven decision making tools
… visualization complimented with vast amounts of data to provide a lens by which we may understand economic development? The amount of computing power and data available at our finger tips is increasing everyday. This thesis will introduce The Observatory as a tool that combines big data with …
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Dynamic, data-driven decision-making in revenue management
… thesis studies various problems in sequential decision-making and demand learning. In the first module, we consider a personalized RM setting, where items with limited inventories are recommended to heterogeneous customers sequentially visiting an e-commerce platform. We take the perspective of …
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Data-driven decision-making under uncertainty in power systems
In this dissertation, we construct decision-making frameworks and decision-support tools that seek to aid power system operators (SOs) in delivering an economical and reliable power system operation under uncertainty. The dissertation comprises nine publications, each of which lays out an …
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Exploring the role data-driven decision-making under uncertainty
Decision making requires managers to carefully analyse the business environment and make sense of existing information in a bid to direct and influence particular courses of action for organisations. However, there is complexity of this process in uncertainty, such as that exemplified by the year …
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Data-driven decision making in online and offline retail/
… the past decade with the advent and adoption of data-driven approaches to drive decision making. Granular data collection has enabled firms to make personalized decisions that improve customer experience and maintain long-term engagement. In this thesis we discuss important problems that …
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On the Sample Efficiency of Data-Driven Decision Making
This thesis studies the fundamental problem of decision making under uncertainty through the lens of statistical decision theory. We characterize the minimax risk, which captures the sample efficiency required for effective decision making across three key settings: offline estimation with batch …
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Data-Driven Decision Making: Teachers' Use of Data in the Classroom
Data-driven decision making has become an important educational issue in the United States, primarily because of federal and state emphasis on school accountability and achievement. Data use has been highlighted as a key factor in monitoring student progress and informing decision making at various …
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South Carolina Middle School Principals' Use of Data-Driven Decision Making
… principals investigated how these principals use data in decision making. The P3DMI developed by Childress (2009) was incorporated into the survey to evaluate the role data plays in four areas of leadership for these principals: 1) school vision, 2) school instruction, 3) school organization, and …
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Data driven decision making: data interplay within a high school district
… case study was to examine how a district data team coordinated by the central office influenced the data driven culture in the district's schools that receive Title I funding. The conceptual framework is centered on conducting the process of data driven decision-making through …
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Intelligent data-driven decision-making to mitigate or stop lost circulation
… intelligent solutions to help to make better decision to mitigate or stop lost circulation. A detailed literature review on the applications of decision tree analysis, expected monetary value, and artificial neural networks in the oil and gas industry was provided. Data for more than 3000 …
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Addressing Missing Data and Scalable Optimization for Data-driven Decision Making
Data-driven decision making has become a necessary commodity in virtually every domain of human endeavor, fueled by the exponential growth in the availability of data and the rapid increase in our computing power. In principle, if the collected data contain sufficient information, it is possible to …
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Efficient Robustness and Interpretability in Learning and Data-Driven Decision-Making
… and predictable performance despite various data uncertainties. We study robustness when learning under diverse sources of data uncertainty, including the fundamental statistical error, as well as data noise and corruption. Our work reveals how these different sources interact and …
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Data Driven Decision-Making in Midwest Charter Schools: Teachers’ Experiences in the Classroom
… has evolved into a system that emphasizes data use. Data are used to discriminate between successful and failing districts, schools, teachers and students. Data are used to gain insights to student demographics. In some cases, teachers use data to evaluate instructional practices and …
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Data-Driven Decision Making In Community Colleges: An Integrative Model For Institutional Effectiveness
… measures (key performance indicators) to inform decision making. In addition, the study identifies the relevant motives, organizational structure, and processes to support the continuing organization development as the institution transitions to an information rich decision making …
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A framework for data-driven decision-making at a South African higher education institution
Data-driven decision-making (D3M) has practical benefits to higher education institutions (HEIs), but its adoption and use in South African HEIs are still low. This low adoption is attributed to various reasons based on decision-makers’ perceptions, expectations and experiences of data-driven …
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Data-Driven Decision Making for Online Retail Operations in Sourcing, Distribution and Assortment Personalization
… retailing, online retailing requires new decision-making models to support its operations. In this thesis, the E-SMART framework is proposed which assists e-tailers in operations management in the three areas of the sourcing, distribution, and personalization of an assortment. The E-SMART …
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