Abstract
Using data from the I-Choose project, a study of coffee produced in Mexico and distributed and sold in Canada and the United States, this chapter analyzes three distinct traceability systems in relation to the ways in which each attempts to build and sustain trust. In each case, supply chain actors are working together to capture information about how and where their products are produced, aiming to provide this information to consumers. The ultimate goal in each system is the same: to demonstrate the quality of their product and earn a price premium. We find that institutional, calculative, and relational trust are used in different ways in each of the three systems, with distinct variations over time. Extrapolating from these cases, we find that providing consumers with sustainable supply chain information evolves dynamically over time with calculative trust less permanent and relational trust more permanent. Institutional trust appears to be the best way to communicate with consumers in international marketplaces.
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Notes
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This research was supported by CONACYT grant no. 133670.
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Agromor is an organization that works closely with the Mexican National Institute for Agricultural Research (INIFAP) in the development of improved coffee plants. Nestlé distributes the plants to coffee producers as a component of the Nescafé plan.
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The Tec of Monterrey is a higher education institution that collaborates with Nestlé in training programs for producers.
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The name “data infrastructure building block” derives from National Science Foundation Data Infrastructure Building Block program which aims to “foster cross-community infrastructure development that solves common problems, while building blocks of data infrastructure that can support and provide data solutions to a broader range of scientific disciplines while reducing duplicative efforts.” (http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504776)
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Luna-Reyes, L.F., Andersen, D.L., Andersen, D.F., Jarman, H. (2016). Collaboration and Trust Building Among Public and Private Actors. In: Jarman, H., Luna-Reyes, L. (eds) Private Data and Public Value. Public Administration and Information Technology, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-319-27823-0_3
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