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Management Science and Engineering

Permanent URI for this collectionhttps://uwspace.uwaterloo.ca/handle/10012/9910

This is the collection for the University of Waterloo's Department of Management Science and Engineering.

Research outputs are organized by type (eg. Master Thesis, Article, Conference Paper).

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Browsing Management Science and Engineering by Author "Cozzarin, Brian"

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    Essays on International Venture Capital
    (University of Waterloo, 2017-04-21) Soleimani Dahaj, Arash; Cozzarin, Brian
    Venture Capital firms (VCs), compared with other sources of financing, are known to be a value-adding source of finance for high-growth entrepreneurial firms. Venture capital has transitioned from a local to an international subject in recent years. In this thesis , I address three important aspects of the international venture capital research area. In the first essay, I answer these questions: do venture capital firms decide to invest in a cross-border company based solely on their own international experience, or do they also decide based on other venture capital firms’ behaviour in investing in that country? I address these questions by investigating vicarious and experiential learning in the venture capital context, focusing on US cross-border venture capital investment data from 2000 to 2013. The analysis indicates that, on average, venture capital firms use both experiential and vicarious learning strategies in making their cross-border investment decisions. Moreover, the effect of experiential learning is greater than that of vicarious learning, and a venture capital firm’s size moderates this effect. In the second essay, I answer this question: do government venture capital funds crowd-in or crowd-out international private venture capital investment? The crowding-in effect arises when international private venture capital benefits from government subsidies through the enhancement of an entrepreneurial ecosystem and investment syndication. The crowding-out effect arises when government venture capital competes with private venture capital, bidding up deal prices and lowering returns, thereby spurring local private venture capitalists to invest internationally. I examine data from 26 countries from 1998 to 2013. The analysis indicates that, on average, more mixed-structured government venture capital investments than pure-structured government investments in a country crowds-in domestic and foreign private venture capitalists internationally. Moreover, the effect of both structures is greater on domestic private venture capitalists than on foreign ones. In the third essay, I investigate whether government venture capital practices in Canada promote a robust entrepreneurial ecosystem, by analyzing the effect of these practices on domestic and cross-border venture capital investments by private venture capital firms separately. I research the following two questions in parallel: a) Does Canadian government venture capital investment attract private venture capital firms to invest in the domestic market? b) Does Canadian government venture capital investment lead to, or prevent, domestic private venture capital firms from investing in other countries? I find that Canadian government venture capital investment has no measurable impact on private venture capital firms’ decisions to invest in the domestic market. I also find that certain of the Canadian government’s venture capital programs have displaced private venture capital, although with negligible impact, towards cross-border VC markets, primarily to the United States.
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    The use of data analytics to analyze various behaviors during the COVID- 19 pandemic
    (University of Waterloo, 2024-05-24) AbdulHussein, Ali; Dimitrov, Stanko; Cozzarin, Brian
    This dissertation outlines findings based on three journal manuscripts. The publications have a common theme: the use of data analytics techniques, economic theory, and knowledge of online shopping to analyze and assess change in behavior after the COVID-19 pandemic. I employed a variety of empirical analysis tools, including different regression methods, statistical analysis, and validity testing. I also utilized well-established theory to add another lens to my findings. Such frameworks include the Transaction Cost Economics (TCE) and the Technology Acceptance Model (TAM). Furthermore, I applied my tools to two domains to further widen my knowledge scope: e-commerce and public health. The first manuscript offered insight into consumer behavior after the COVID-19 pandemic. It analyzed the change in online shopping activity in 12 different product categories and offered an empirical association between it and various demographic factors. The second manuscript builds the first with more focus on online grocery shopping. As a result, the findings offered a managerial perspective on how various customer segments changed their shopping behaviors online, providing insight to guide marketing and merchandising efforts. The third paper presented an association between demographic and occupational factors with worsened mental health conditions of healthcare workers (HCWs) after the pandemic. The finding presented an insight into how different HCW groups reacted to the pandemic and hence aid in providing more effective mental health programming targeting specific groups in future events.