Matching Items (2)
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- All Subjects: Crowdsourcing
- Creators: Kull, Thomas
Description
Conflict minerals are those that are taken from violent, militia controlled mines in areas like the Democratic Republic of the Congo and used in technology such as laptops, cellphones, and computers. They are then sold to fund bloody wars that have been raging for years. The issue of conflict minerals continue to rise as technology advances. To combat the issue, the Dodd-Frank Act was implemented in the U.S. in 2010. The act requires companies listed on the stock exchange to report information on possible conflict mineral usage. However, there is a large discrepancy in the compliance levels between many similar technology companies subject to the Dodd-Frank Act. This paper addresses the factors driving compliance through the use of a theory testing method known as pattern matching, and attempts to answer why such similar companies have such different compliance levels. The pattern matching technique looks to test the applicability of theories based on what they theorize will happen and what actually happens in a given scenario. In this instance, the theories know as general deterrence, institutional, and stakeholder theory were put to the test in order to identify the factors driving compliance levels with conflict mineral policies. Both general deterrence and stakeholder theory were able to adequately match their theorized outcomes of conflict mineral compliance with actual observed outcomes. However, general deterrence theory more adequately explained the differences in compliance levels between similar companies. This information has implications on the policy side of the issue, as it reveals a way to more effectively drive up compliance levels by increasing disincentives and penalties in accordance with general deterrence theory.
ContributorsMeyer, Matthew Jacob (Author) / Kull, Thomas (Thesis director) / Wood, Reed (Committee member) / Department of Supply Chain Management (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Although many examples have demonstrated the great potential of a human crowd as an alternative supplier in creative problem-solving, empirical evidence shows that the performance of a crowd varies greatly even under similar situations. This phenomenon is defined as the performance variation puzzle in crowdsourcing. Cases suggest that crowd development influences crowd performance, but little research in crowdsourcing literature has examined the issue of crowd development.
This dissertation studies how crowd development impacts crowd performance in crowdsourcing. It first develops a double-funnel framework on crowd development. Based on structural thinking and four crowd development examples, this conceptual framework elaborates different steps of crowd development in crowdsourcing. By doing so, this dissertation partitions a crowd development process into two sub-processes that map out two empirical studies.
The first study examines the relationships between elements of event design and crowd emergence and the mechanisms underlying these relationships. This study takes a strong inference approach and tests whether tournament theory is more applicable than diffusion theory in explaining the relationships between elements of event design and crowd emergence in crowdsourcing. Results show that that neither diffusion theory nor tournament theory fully explains these relationships. This dissertation proposes a contatition (i.e., contagious competition) perspective that incorporates both elements of these two theories to get a full understanding of crowd emergence in crowdsourcing.
The second empirical study draws from innovation search literature and tournament theory to address the performance variation puzzle through analyzing crowd attributes. Results show that neither innovation search perspective nor tournament theory fully explains the relationships between crowd attributes and crowd performance. Based on the research findings, this dissertation discovers a competition-search mechanism beneath the variation of crowd performance in crowdsourcing.
This dissertation makes a few significant contributions. It maps out an emergent process for the first time in supply chain literature, discovers the mechanisms underlying the performance implication of a crowd-development process, and answers a research call on crowd engagement and utilization. Managerial implications for crowd management are also discussed.
This dissertation studies how crowd development impacts crowd performance in crowdsourcing. It first develops a double-funnel framework on crowd development. Based on structural thinking and four crowd development examples, this conceptual framework elaborates different steps of crowd development in crowdsourcing. By doing so, this dissertation partitions a crowd development process into two sub-processes that map out two empirical studies.
The first study examines the relationships between elements of event design and crowd emergence and the mechanisms underlying these relationships. This study takes a strong inference approach and tests whether tournament theory is more applicable than diffusion theory in explaining the relationships between elements of event design and crowd emergence in crowdsourcing. Results show that that neither diffusion theory nor tournament theory fully explains these relationships. This dissertation proposes a contatition (i.e., contagious competition) perspective that incorporates both elements of these two theories to get a full understanding of crowd emergence in crowdsourcing.
The second empirical study draws from innovation search literature and tournament theory to address the performance variation puzzle through analyzing crowd attributes. Results show that neither innovation search perspective nor tournament theory fully explains the relationships between crowd attributes and crowd performance. Based on the research findings, this dissertation discovers a competition-search mechanism beneath the variation of crowd performance in crowdsourcing.
This dissertation makes a few significant contributions. It maps out an emergent process for the first time in supply chain literature, discovers the mechanisms underlying the performance implication of a crowd-development process, and answers a research call on crowd engagement and utilization. Managerial implications for crowd management are also discussed.
ContributorsLiu, Zhongzhi (Author) / Kull, Thomas (Thesis advisor) / Dooley, Kevin (Committee member) / Oke, Adegoke (Committee member) / Arizona State University (Publisher)
Created2017