Modeling enablers for sustainable logistics collaboration integrating - Canadian and Polish perspectives
Katarzyna Grzybowska, Anjali Awasthi, Mohammad Hussain
Citation: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 2, pages 1311–1319 (2014)
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. A group of enablers that have high driving power and low dependence, requiring maximum attention exists. This classification will help Supply Chain managers to differentiate between independent and dependent variables and help them to focus on those variables that are most important for the transformation of collaboration between logistics partners.