Mv
M.P.H. van Adrichem
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Mapping inter-organizational data governance mechanisms in the container supply chain
Case study for the Port of Rotterdam
Master thesis
(2022)
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M.P.H. van Adrichem, L.A. Tavasszy, A.J. van Binsbergen, A.M.G. Zuiderwijk-van Eijk, Pieter de Waard
Despite the potential benefits regarding data-sharing in the container supply chain, stakeholders still can be skeptical towards data-collaboration. Due to conflicting goals and objectives of companies and the competitive nature of the
industry, data-collaboration cannot be easily achieved. Previous research has little touched upon combining inter-organizational governance and data governance. Based on a case study about data-collaboration in the container supply chain and previous data governance research, a new data governance framework with possible data-sharing archetypes is developed. Three data governance archetypes are suggested in order to further enhance data-collaboration: regulate data, buy & sell data and data-fordata. Future research should focus on the further validation of the found archetypes, valorization of data and the legal basis of data-ownership. ...
industry, data-collaboration cannot be easily achieved. Previous research has little touched upon combining inter-organizational governance and data governance. Based on a case study about data-collaboration in the container supply chain and previous data governance research, a new data governance framework with possible data-sharing archetypes is developed. Three data governance archetypes are suggested in order to further enhance data-collaboration: regulate data, buy & sell data and data-fordata. Future research should focus on the further validation of the found archetypes, valorization of data and the legal basis of data-ownership. ...
Despite the potential benefits regarding data-sharing in the container supply chain, stakeholders still can be skeptical towards data-collaboration. Due to conflicting goals and objectives of companies and the competitive nature of the
industry, data-collaboration cannot be easily achieved. Previous research has little touched upon combining inter-organizational governance and data governance. Based on a case study about data-collaboration in the container supply chain and previous data governance research, a new data governance framework with possible data-sharing archetypes is developed. Three data governance archetypes are suggested in order to further enhance data-collaboration: regulate data, buy & sell data and data-fordata. Future research should focus on the further validation of the found archetypes, valorization of data and the legal basis of data-ownership.
industry, data-collaboration cannot be easily achieved. Previous research has little touched upon combining inter-organizational governance and data governance. Based on a case study about data-collaboration in the container supply chain and previous data governance research, a new data governance framework with possible data-sharing archetypes is developed. Three data governance archetypes are suggested in order to further enhance data-collaboration: regulate data, buy & sell data and data-fordata. Future research should focus on the further validation of the found archetypes, valorization of data and the legal basis of data-ownership.