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Browsing by Subject "Business administration"
Now showing items 1-20 of 40
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A Multi-Dimensional Approach to Social Relationships in Consumer Behavior
(2020)While consumer research has long explored social influences in consumer phenomena, the literature rarely considers the implications of different dynamics in relationships. In this dissertation, I take a multi-dimensional ... -
Analytical Models for Strategic Decisions in Settings with Asymmetric Information
(2019)This dissertation studies managerial problems involving strategic considerations under asymmetric information. Specifically, we build analytical models to investigate three problems.The first problem relates to how riders' ... -
Bad goods: On the political morality of production and consumption in global supply chains
(2019)People buy many goods produced in ways that appear to call for a remedy or a reaction from actors in developed countries: these are goods which appear to have “grave flaws” in the upstream supply chain. For example, one ... -
Behavioral Perspectives on Organizational Change: Practice Adoption, Product Culling, and Technological Search
(2016)This dissertation explores the complex process of organizational change, applying a behavioral lens to understand change in processes, products, and search behaviors. Chapter 1 examines new practice adoption, exploring ... -
Capacity Investment in Renewable and Conventional Energy Sources
(2016)This dissertation studies capacity investments in energy sources, with a focus on renewable technologies, such as solar and wind energy. We develop analytical models to provide insights for policymakers and use real data ... -
CONTEMPORARY JAPANESE ART AUCTION MARKET 2008-2017
(2019)This project offers an introduction to the Japanese art auction market, analysis into insights for auction house specialization and segmentation, insights on the top 100 artists in terms of median hammer prices (unfiltered ... -
Customer Choice Models in Emerging Retail Markets
(2023)In this dissertaion we discuss customer choice and company decisions in three emerging retail settings. We first consider subscription box services in which a provider selects the assortment of products to include in the ... -
Data-driven Decision Making with Dynamic Learning under Uncertainty: Theory and Applications
(2022)Digital transformation is changing the landscape of business and sparking waves of innovation, calling for advanced big data analytics and artificial intelligence techniques. To survive from intensified and rapidly changing ... -
Data-Driven Learning Models with Applications to Retail Operations
(2018)Data-driven approaches to decision-making under uncertainty is at the center of many operational problems. These are problems in which there is an element of uncertainty (e.g., customer demand) that needs to be estimated ... -
Designing Subscription Services with Imperfect Information and Dynamic Learning
(2021)This dissertation studies how a subscription service provider offers contracts to customers without full information on their preferences. The first essay studies a mechanism design problem for business interruption (BI) ... -
Dynamic Mechanism Design without Money
(2019)In this dissertation, we study settings where a principal repeatedly determines the allocation of a single resource to i) a single agent, ii) one of two agents, and iii) one of n agents without monetary transfers over an ... -
Effective Heuristics for Dynamic Pricing and Scheduling Problems with High Dimensionality
(2019)High-dimensional state spaces and/or decision spaces sometimes arise when sequential operational decisions need to be made dynamically in reflection of complex system information. To tackle the "curse of dimensionality," ... -
Eliciting and Aggregating Forecasts When Information is Shared
(2016)Using the wisdom of crowds---combining many individual forecasts to obtain an aggregate estimate---can be an effective technique for improving forecast accuracy. When individual forecasts are drawn from independent and identical ... -
Essays on Adaptive Methods for Inference and Prediction under Dependence
(2022)In real-world applications, observations are arguably dependent when they are collected for a system of interconnected units or a system along a time continuum. Ignoring or inappropriately adjusting such a dependence will ... -
Essays on Corporate Investment in Scientific Research
(2021)In light of a reduction in corporate scientific research in recent decades, my dissertation examines the mechanisms that drive corporate investment in scientific research. More specifically, I explore the relationship between ... -
Essays on Firm Innovation in Dynamic Product Markets: Examining Competitive Interactions During Technological Commercialization
(2018)How can firms gain competitive advantage from available technologies is a key question in strategy. In my dissertation, I develop new theory and provide evidence to show that a firm’s focus in selective technological areas ... -
Essays on Knowledge Spillovers and Transfer of Technical Knowledge
(2020)This dissertation explores the localized nature of knowledge spillovers and the role of intellectual property rights, particularly patents, in facilitating transfer of technical knowledge embodied in inventions. The first ... -
Essays on Online Decisions, Model Uncertainty and Learning
(2017)This dissertation examines optimal solutions in complex decision problems with one or more of the following components: online decisions, model uncertainty and learning. The first model studies the problem of online selection ... -
Essays on Science and Innovation
(2022)The commercialization of scientific discoveries into innovation has traditionally been the purview of large corporations operating central R&D laboratories through much of the past century. The past four decades have seen ... -
Essays on Service Operations with Strategic Customers and Innovative Business Models
(2018)This dissertation studies operations management problems in service operations and supply chains, analyzing the impact of strategic customers and disruptive technologies. We investigate three problems, and insights from ...
