This dissertation analyzes problems related to barriers to innovation. In the first chapter, “Delegation and Learning”, I study an agency problem which is common in many contexts involving financing of innovation. Consider the example of an entrepreneur, who has an idea but not the money to implement it, and an investor, who has the money but not the idea. In such a case, how should a financial contract between the investor and the entrepreneur look like? How much money should the investor provide the entrepreneur? How should the surplus be divided between them in case the idea turns out to be profitable? There are certain common elements in situations such as these. First, there is an element of learning. This is because initially it is unknown if the idea is profitable or not and hence the idea has to be tried out in the market and both the investor and entrepreneur learn about the profitability of the idea from observing market outcomes. Second, there is an element of delegation in the above situation. This is because decision rights regarding where and when should the idea be tried out is typically in the hands of the entrepreneur and he knows his idea better than the investor. Finally, the preferences of the investor and the entrepreneur might not be aligned. For instance, the investor may receive private benefits, monetary or reputational, from launching products even when these are not profitable. In such a case, how should a contract that incentivizes the entrepreneur to act in the investor’s interest look like? To study these issues, I develop a model in which a principal contracts with an agent whose ability is uncertain. Ability is learnt from the agent’s performance in projects that the principal finances over time. Success however also depends on the quality of the project at hand, and quality is privately observed by the agent who is biased towards implementation. I characterize the optimal sequence of rewards in a relationship that tolerates an endogenously determined finite number of failures and incentivizes the agent to implement only good projects by specifying rewards for success as a function of past failures. The fact that success becomes less likely over time suggests that rewards for success should increase with past failures. However, this also means that the agent can earn a rent from belief manipulation by deviating and implementing a bad project which is sure to fail. I show that this belief-manipulation rent decreases with past failures and implies that optimal rewards are front-loaded. The optimal contract resembles the arrangements used in venture capital, where entrepreneurs must give up equity share in exchange for further funding following failure. In the second chapter, “Informal Risk Sharing and Index Insurance: Theory with Experimental Evidence”, written with Francis Annan, we study when does informal risk sharing act as barrier or support to the take-up of an innovative index-based weather insurance? We evaluate this substitutability or complementarity interaction by considering the case of an individual who endogenously chooses to join a group and make decisions about index insurance. The presence of an individual in a risk sharing arrangement reduces his risk aversion, termed “Effective Risk Aversion” — a sufficient statistic for index decision making. Our analysis establishes that such reduction in risk aversion can lead to either reduced or increased take up of index insurance. These results provide alternative explanations for two empirical puzzles: unexpectedly low take-up for index insurance and demand being particularly low for the most risk averse. Experimental evidence based on data from a panel of field trials in India, lends support for several testable hypotheses that emerge from our baseline analysis. In the third chapter, “Investment Timing, Moral Hazard and Overconfidence”, I study how overconfidence and financial frictions impact entrepreneurs by shaping their incentives to learn. I consider a real option model in which an entrepreneur learns about the quality of project he has, prior to implementation. Success depends on the quality of the project as well as the unknown ability of the entrepreneur. The possibility of the entrepreneur diverting investor funds to his private uses, creates a moral hazard problem which leads to delayed investment and over-experimentation. An entrepreneur who is overconfident regarding his ability, under-experiments and over invests compared to an entrepreneur who has accurate beliefs regarding his ability. Such overconfidence on behalf of the entrepreneur creates inefficiencies when projects are self financed, but reduces inefficiencies due to moral hazard in case of funding by investors.

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 dissertation focuses on understanding how consumers perceive, adopt, and use technologies that blur the line between human and machine, with two primary goals. First, I build on psychological and philosophical theories of mind perception, anthropomorphism, and dehumanization, and on management research into technology adoption, in order to develop a theoretical understanding of the forces that shape consumer adoption of these technologies. Second, I develop practical marketing interventions that can be used to influence patterns of adoption according to the desired outcome. This dissertation is organized as follows. Essay 1 develops a conceptual framework for understanding what AI is, what it can do, and what are some of the key antecedents and consequences of its’ adoption. The subsequent two Essays test various parts of this framework. Essay 2 explores consumers’ willingness to use algorithms to perform tasks normally done by humans, focusing specifically on how the nature of the task for which algorithms are used and the human-likeness of the algorithm itself impact consumers’ use of the algorithm. Essay 3 focuses on the use of social robots in consumption contexts, specifically addressing the role of robots’ physical and mental human-likeness in shaping consumers’ comfort with and perceived usefulness of such robots. Together, these three Essays offer an empirically supported conceptual structure ¬for marketing researchers and practitioners to understand artificial intelligence and influence the processes through which consumers perceive and adopt it. Artificial intelligence has the potential to create enormous value for consumers, firms, and society, but also poses many profound challenges and risks. A better understanding of how this transformative technology is perceived and used can potentially help to maximize its potential value and minimize its risks.

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This thesis argues for the need for a more comprehensive discussion of biodiversity use in relation to enhancing benefits of this use for biodiverse countries and promoting more equitable sharing of these benefits. The findings from this doctoral research reveal that biodiversity-based innovation is a social shaping process that has resulted in large benefits. The cumulative capability to use species from biodiversity gives meanings that contribute to the species shaping process, with organisations and institutional changes providing direction and increasing the rate of the shaping process. In showing how innovation takes place and how the appropriation of benefits occurs, this research contributes to studies on science policy and innovation in relation, especially, to biodiversity-based innovation. The thesis introduces the Convention of Biological Diversity (CBD) and the Nagoya Protocol as representing change to the governance of biodiversity. The theoretical approach draws on evolutionary and institutional economics, both of which inform and extend a question that is central in the sociology of technology: That is how are technology (innovation understood as an output) and social practices shaped collectively? Three cases are used to trace what occurs in the shaping process of species from biodiversity: (i) The Jersey cow is a breed within the species Bos Taurus or modern taurine cattle. The isolated character of Jersey delimited the scope of the breed at a point in time when it was being bred locally and allow us to identify its shaping as a ‘technology', and the broader diffusion of its use. The Jersey cow is used to introduce the theoretical framework and the analysis. (ii) Maca, originally from Peru, is a root crop with nutritional and, allegedly, fertility enhancing properties. It was domesticated in Peru and only a few world regions have conditions favouring its production. Maca is commercialised as flour and used as a raw material. (iii) Quinua has great potential as a staple food crop. The Food and Agriculture Organization (FAO) declared 2013 to be the International Year of Quinoa on the basis of its unique and nutritious character. Three Andean countries (Bolivia, Ecuador and Peru) report exports of quinua grain, although dozens of countries around the world are engaged in performing agronomic testing for its commercial production. A comparative analysis of the three cases helps to identify the science and technology policy issues related to implementation of the CBD and the Nagoya Protocol. The case studies demonstrate the innovation process of species from biodiversity. Benefits arise from the diffusion of the use of the species (via commercialisation), which accrued to individuals or groups. The characterisation of the innovation process highlights how the voices and agency of actors and organisations affected the shaping process. The governance over the goods that emerged from the use of the species defined the appropriation of benefits.

Research and technological development processes increasingly entail inter-organisational collaboration for the access and integration of external complementary knowledge, especially within emergent technological innovation systems and small developing countries. Collaborative efforts aggregate capabilities of individual actors into system-level innovation capacity, fostering technological and innovation outcomes from both individual organisations and the technological system as a whole. Significant understanding of these interactive processes has been achieved by previous research on innovation systems, inter-organisational collaboration and networks, and studies of interdisciplinary scientific research. Nevertheless, further knowledge is required on how and why organisations may differ in their ability to collaboratively exploit potential complementarities. Consequently, this thesis examines institutional and organisational factors that influence the actual extent of knowledge integration achieved by public research organisations through collaborative research endeavours, within the agri-biotechnology innovation system in Uruguay. The research followed a mixed empirical method. Exploratory interviews with members of public R&D groups and firms were conducted in order to reach a preliminary understanding of the main forces affecting collaboration and knowledge integration. Quantitative indicators of the degree of knowledge-integration achieved by R&D groups' collaborative links were designed and computed using data gathered through a survey of R&D group members. Indicators were also developed to statistically assess how the extent of collaborative knowledge-integration achieved by an R&D group is influenced by system-level incentive institutions, by the absorptive and relational capacities of the group, and by the compliance of the group with local scientific assessment and reward mechanisms. This thesis makes various theoretical contributions and draws relevant policy implications. The results show that members of R&D groups may exert differing levels of influence on knowledge-integration. Specifically, postgraduate students were found to play a relevant bridging role, enhancing the ability of the group to access knowledge from complementary disciplines. The study also found consistent evidence of a negative relation between an R&D group's compliance with local scientific incentives, and the group's ability to collaboratively integrate complementary knowledge-assets. Therefore, formal incentive institutions are presumably affecting the exploitation of potential synergies among local knowledge resources and hence the learning and innovation capabilities and the cohesion of the entire agri-biotechnology innovation system. As a methodological contribution, this thesis develops novel indicators to assess the degree of inter-organisational complementarity that go beyond those used in previous research.

The Theory of Disruptive Technologies put forward by Clayton Christensen in 1997 has attracted significant attention. This case study tests the hypothesis that the theory is generalisable to new situations. It uses datasource triangulation by using document, statistical and interview analyses (including investigator triangulation) to apply the Theory to Australian Digital Theses Program (ADT) and finds that the Program may indeed be a disruptive technology in relation to academic libraries, universities and to the publishing industry. However, it has greater potential to be disruptive in the latter, and to be a sustaining technology, as defined by the Theory, in relation to libraries and universities.

This multi-method study investigated the relationship between the dimensions of organizational learning, organizational innovation and organizational climate in the Australian Hotel Industry. The hotel industry was chosen as it is highly labour intensive and serves as a suitable environment to test the three dependent variables that are closely employee related. Data was collected from a total population sample of 800 respondents, employed in 50 hotels, which included 45 from a large International Brewery Group located in Melbourne and 5 independent hotels. The response rate was 75%. Organizational learning was measured using, the 34-item Organizational Learning Profile (OLP) scale (Pace et al, 1997) containing the four dimensions of OL (Achievement Mindset, Learning Practices, Information Sharing Patterns, and Inquiry Climate) was used. Organizational Innovation was measured using the 24- item Workplace Innovation Scale (WIS) (McMurray and Dorai, 2002) containing the four dimensions of Innovation (Organizational Innovation, Innovation Climate, Team Innovation and Individual Innovation). Organizational Climate (OC) was measured using the 40 item Koys and DeCotiis (1996) scale containing the eight dimensions of support, autonomy, pressure, cohesion, recognition, fairness, innovation and trust. Statistical analysis was carried out using SPSS (v.10) and qualitative data was analyzed using theme-category analysis. This study contributes to the management literature and extends the existing knowledge on learning, innovation and climate. Specifically the results show that the dimensions of organizational learning, innovation and climate are predictors of one another and it establishes a significant relationship between the dimensions of learning, innovation and climate. Furthermore, this study found that Workplace Survey is a valid and reliable scale to measure learning, innovation and climate. The recommendations made in this study will help management understand the importance of learning and innovation in the workplace. In turn, this will improve the organizational climate by facilitating learning and innovation among hotel employees.

Thesis (Ph.D.)--State University of New York at Albany, 2003. / Chairperson: Alvin Magid. Includes bibliographical references.

Mobile barcode e-invoicing (MBEI) is a novel system that not only reduces companies¡¦ cost on invoice delivery and storage but also enables the government to save money on printing the invoices. Although this is an important policy, no study has examined it from the general public¡¦s perspective. Therefore, this study surveyed a convenience sample of 250 people to investigate factors that may affect the public¡¦s willingness to use MBEI. Based on Rogers¡¦s (1995) diffusion of innovation theory, this study explored the impacts of relative advantage, compatibility, complexity, observability, and habits of using relevant technology on willingness to use MBEI. The results suggest that while relative advantage, compatibility, and complexity are associated with people¡¦s willingness, observability is not. As for the habits of using relevant technology, people with i-bon experience were more willing to use MBEI than those who had never heard about i-bon. But respondents¡¦ usage of membership cards for shopping, the carrying of these membership cards, and the habit of using touch-control mobile devices had no impact on their willingness to adopt MBEI. These results suggest that the government should not only promote its e-invoicing policy more aggressively, but also be alert to the problems that different age groups may encountered when trying to use MBEI.

Thesis (Ph. D.)--University of Missouri-Columbia, 1999. / Typescript. Vita. Includes bibliographical references (leaves 200-215). Also available on the Internet.