Green supply chain management in the shipping industry
Date Issued
October 2018
Author(s)
Advisor
Abstract
The thesis provides a detailed empirical examination on GSCM in the context of the shipping
industry, by conducting three innovative empirical studies: (i) resources and capabilities as drivers
of proactive GSCM strategy, based on the NRBV theory, and resulting performance and
competitive advantage implications, (ii) proactive GSCM strategy implementation and its
relationship to financial performance, and (iii) the moderating effect of managerial propensity for
risk-taking on the relationship between proactive GSCM strategy and performance.
In chapter two, building on the natural resource-based view (NRBV) theory, I develop a model
that examines the drivers of proactive green supply chain management (GSCM) strategy. We then
examine the outcome of such strategy on the performance and competitive advantage of shipping
firms. I collect data from a global sample of 289 shipping firms, including private and listed
companies, and we apply structural equation modelling (SEM) to test the research hypotheses.
Resources and capabilities emerge as drivers of GSCM strategy. Furthermore, I find support to the
thesis that proactive GSCM strategy affects the environmental and economic performance of
shipping firms positively, which in turn enhances competitive advantage. The associations
revealed in this study can improve environmental management decisions and provide fruitful
managerial and theoretical implications.
In chapter three, this thesis empirically examines the relationship between levels of GSCM strategy
adoption and the financial performance of shipping firms. I apply cluster analysis and analysis of
variance (ANOVA), to test the research hypotheses. This study is able to cluster shipping firms
according to their level of adoption of GSCM strategy, ranging from reactive to more proactive
shipping companies. Furthermore, the study shows that shipping firms with a proactive GSCM
strategy can achieve better financial performance. The findings of this thesis can improve the
environmental management strategy decisions of shipping firms and support the elimination of
environmental problems, while improving the financial performance of shipping firms.
Chapter four investigates the moderating role of managerial propensity towards risk on the
relationship between proactive GSCM strategy and environmental and economic performance.
The study applies structural equation modelling (SEM) to test the research hypotheses. Results
show that proactive GSCM strategy is beneficial to both the environmental and economic
performance of shipping firms. The positive effects of a proactive GSCM strategy on
environmental performance are stronger when managers are highly risk averse, while their level
of risk aversion has no moderating effect on shipping firms’ economic performance.Several practical and managerial implications are discussed in this thesis that can assist shipping
firms to enhance their performance and competitiveness. This thesis also identifies and discusses
the limitations of each study and proposes ideas for future research.
industry, by conducting three innovative empirical studies: (i) resources and capabilities as drivers
of proactive GSCM strategy, based on the NRBV theory, and resulting performance and
competitive advantage implications, (ii) proactive GSCM strategy implementation and its
relationship to financial performance, and (iii) the moderating effect of managerial propensity for
risk-taking on the relationship between proactive GSCM strategy and performance.
In chapter two, building on the natural resource-based view (NRBV) theory, I develop a model
that examines the drivers of proactive green supply chain management (GSCM) strategy. We then
examine the outcome of such strategy on the performance and competitive advantage of shipping
firms. I collect data from a global sample of 289 shipping firms, including private and listed
companies, and we apply structural equation modelling (SEM) to test the research hypotheses.
Resources and capabilities emerge as drivers of GSCM strategy. Furthermore, I find support to the
thesis that proactive GSCM strategy affects the environmental and economic performance of
shipping firms positively, which in turn enhances competitive advantage. The associations
revealed in this study can improve environmental management decisions and provide fruitful
managerial and theoretical implications.
In chapter three, this thesis empirically examines the relationship between levels of GSCM strategy
adoption and the financial performance of shipping firms. I apply cluster analysis and analysis of
variance (ANOVA), to test the research hypotheses. This study is able to cluster shipping firms
according to their level of adoption of GSCM strategy, ranging from reactive to more proactive
shipping companies. Furthermore, the study shows that shipping firms with a proactive GSCM
strategy can achieve better financial performance. The findings of this thesis can improve the
environmental management strategy decisions of shipping firms and support the elimination of
environmental problems, while improving the financial performance of shipping firms.
Chapter four investigates the moderating role of managerial propensity towards risk on the
relationship between proactive GSCM strategy and environmental and economic performance.
The study applies structural equation modelling (SEM) to test the research hypotheses. Results
show that proactive GSCM strategy is beneficial to both the environmental and economic
performance of shipping firms. The positive effects of a proactive GSCM strategy on
environmental performance are stronger when managers are highly risk averse, while their level
of risk aversion has no moderating effect on shipping firms’ economic performance.Several practical and managerial implications are discussed in this thesis that can assist shipping
firms to enhance their performance and competitiveness. This thesis also identifies and discusses
the limitations of each study and proposes ideas for future research.
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Stelios Alexandrou PhD thesis (Abstract).pdf
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