Title
Challenges to developing interoperable data architecture to support sustainable C\consumption and sustainable supply chains
Document Type
Book Chapter
Abstract
This chapter focuses on the identification of key challenges to building a data architecture to improve sustainability in supply chains as well as providing consumers with better information for decision support. The chapter builds on the trends of sustainable consumption and sustainable supply chain management and incorporates the views of key stakeholders in the coffee supply chain that we interviewed. Key challenges relate to accuracy and credibility of data in the system, to the availability of technical expertise and infrastructure across the supply chain, as well as with legal aspects related to data ownership, privacy, and confidentiality. Finally, finding appropriate ways of funding the architecture constitutes another important challenge.
Part of the book series: Public Administration and Information Technology (PAIT, volume 26)
Publication Title
Private Data and Public Value: Governance, Green Consumption, and Sustainable Supply Chains
Publication Date
2016
Volume
26
First Page
25
Last Page
45
ISSN
2512-1812
ISBN
9783319278230
DOI
10.1007/978-3-319-27823-0_2
Repository Citation
Zhang, Jing; Sayogo, Djoko S.; Tayi, Giri K.; and Luna-Reyes, Luis F., "Challenges to developing interoperable data architecture to support sustainable C\consumption and sustainable supply chains" (2016). School of Management. 14.
https://commons.clarku.edu/faculty_school_of_management/14