Due to the emergence and development of e-commerce, customers demand faster and cheaper delivery services. However, many retailers find it challenging to efficiently provide fast and on-time delivery services to their customers. Amazon and Walmart are among the retailers that are relying on...

Making predictions based on historical data has a wide range of applications. Nowadays with the advent of more and more online platforms, we are able to design various machine learning models and test them with online data. In this thesis, there are three main chapters, each focusing on a...

Ground-truthed community-based information over time and space can improve the design of climate risk instruments, reducing the mismatch between farmers' reported events and remote sensing datasets. However, increasing constraints on direct interaction and a lack of incentives for rural...

One approach for tackling grand challenges that is gaining traction in recent management literature is robust action: by allowing diverse stakeholders to engage with novel ideas, initiatives can cultivate successful ideas that yield greater impact. However, a potential pitfall of robust action...

This paper examines whether and how coverage from a unique crowdsourced financial estimates platform, Estimize, affects firms. Employing a difference-in-difference design comparing firms that gain coverage from Estimize with firms that do not, I find that covered firms experience decreased...

In this paper, we empirically examine the impact of performance feedback on the outcome of crowdsourcing contests. We develop a dynamic structural model to capture the economic processes that drive contest participants' behavior, and estimate the model using a rich data set about real online...

Mechanisms used to derive optimal allocations are generally designed under the premise that agents fully know their preferences. It is often impossible to duplicate these optimal allocations when agents imperfectly observe object characteristics. I present a crowdsourcing mechanism to...

This research aims to design and develop a crowdsourcing platform based on the New Public Governance paradigm, and to test whether it's suitable with the Thailand context. The methodology employed is the qualitative research which consists of interviewing 48 informants and 14 experts. The...

Given the weak mechanisms to display real reputation status of crowdsourcing participants (MTurkers), the existing reputation evaluation models of crowdsourcing platforms have several problems arising from centralized and simple evaluation systems and poor differentiation ability. We...