Phd Finance Thesis

In particular, we study pricing and staffing decisions for ride-hailing platforms.

Rather, negotiators often surround their offers with explanations, accounts, and rationales that seek to justify, explain, and legitimize whatever terms they are proposing.

However, surprisingly little scholarship has studied the role of these stories and the evidence that does exist seems inconclusive.

One of the most prominent and potentially transformative trends in society today is machines becoming more human-like, driven by progress in artificial intelligence.

How this trend will impact individuals, private and public organizations, and society as a whole is still unknown, and depends largely on how individual consumers choose to adopt and use these technologies.

This calls for a better understanding of some of the key features of these marketplaces and the development of fundamental insights for this class of problems.

In this thesis, we study markets for which spatial and incentive considerations are crucial factors for their operational and economic success.

This dissertation focuses on understanding how consumers perceive, adopt, and use technologies that blur the line between human and machine, with two primary goals.

Modern organizations increasingly rely on teams to act as information processors—pooling and integrating various sources of information in order to solve complex problems and reach quality decisions.

First, there was a proliferating number of definitions of passion; many of them focused on different, but what I deemed to be essential, aspects of passion.

This dissertation bundles three empirical studies in the area of corporate finance and banking.

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