Data supply chain (DSC): research synthesis and future directions
| dc.contributor.author | Spanaki, Konstantina | |
| dc.contributor.author | Gürgüç, Zeynep | |
| dc.contributor.author | Adams, Richard | |
| dc.contributor.author | Mulligan, Catherine | |
| dc.date.accessioned | 2017-12-19T16:24:11Z | |
| dc.date.available | 2017-12-19T16:24:11Z | |
| dc.date.issued | 2017-11-09 | |
| dc.description.abstract | In the digital economy, the volume, variety and availability of data produced in myriad forms from a diversity of sources has become an important resource for competitive advantage, innovation opportunity as well as source of new management challenges. Building on the theoretical and empirical foundations of the traditional manufacturing Supply Chain (SC), which describes the flow of physical artefacts as raw materials through to consumption, we propose the Data Supply Chain (DSC) along which data are the primary artefact flowing. The purpose of this paper is to outline the characteristics and bring conceptual distinctiveness to the context around DSC as well as to explore the associated and emergent management challenges and innovation opportunities. To achieve this, we adopt the systematic review methodology drawing on the operations management and supply chain literature and, in particular, taking a framework synthetic approach which allows us to build the DSC concept from the pre-existing SC template. We conclude the paper by developing a set of propositions and outlining an agenda for future research that the DSC concept implies. | en_UK |
| dc.identifier.citation | Spanaki K, Gurguc Z, Adams R, Mulligan C. Data supply chain (DSC): research synthesis and future directions. International Journal of Production Research, Volume 56, Issue 13, 2018, pp. 4447-4466 | en_UK |
| dc.identifier.cris | 18730712 | |
| dc.identifier.cris | 18730712 | |
| dc.identifier.issn | 0020-7543 | |
| dc.identifier.uri | https://doi.org/10.1080/00207543.2017.1399222 | |
| dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/12800 | |
| dc.language.iso | en | en_UK |
| dc.publisher | Taylor and Francis | en_UK |
| dc.rights | Attribution-NonCommercial 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.subject | data flows | en_UK |
| dc.subject | supply chain | en_UK |
| dc.subject | innovation | en_UK |
| dc.subject | outcome-driven | en_UK |
| dc.subject | framework sysnthesis | en_UK |
| dc.subject | systematic review | en_UK |
| dc.title | Data supply chain (DSC): research synthesis and future directions | en_UK |
| dc.type | Article | en_UK |