DocumentCode :
130479
Title :
Modeling enablers for sustainable logistics collaboration integrating - Canadian and Polish perspectives
Author :
Grzybowska, Katarzyna ; Awasthi, Abhishek ; Hussain, Mutawarra
Author_Institution :
Poznan Univ. of Technol., Poznan, Poland
fYear :
2014
fDate :
7-10 Sept. 2014
Firstpage :
1311
Lastpage :
1319
Abstract :
Collaboration planning is vital for achieving sustainable logistics. In this paper, we present an ISM based approach for modeling enablers for sustainable logistics collaboration integrating Canadian and Polish perspectives. Enablers can be defined as the key elements (or drivers) for achieving successful collaboration. A comprehensive literature review is conducted to identify 17 enablers for sustainable logistics collaboration. Based on these enablers, a questionnaire study is conducted with 20 logistics experts in Canada and Poland to identify their importance. Based on the aggregated expert ratings, an Interpretive Structural Model (ISM) is developed to identify the relationships among the various enablers. The results of our study show that not all enablers to sustainability collaboration between logistics partners require the same amount of attention. This classification will help Supply Chain managers to help them to focus on those variables that are most important for the transformation of collaboration between logistics partners.
Keywords :
logistics; planning; supply chain management; sustainable development; Canadian perspective; ISM based approach; Polish perspective; aggregated expert ratings; collaboration planning; enabler modeling; interpretive structural model; relationship identification; supply chain managers; sustainable logistics collaboration; Collaboration; Information management; Organizations; Planning; Supply chains;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on
Conference_Location :
Warsaw
Type :
conf
DOI :
10.15439/2014F90
Filename :
6933170
Link To Document :
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