Using a case study of the tea producer Eastern Produce Malawi, this research investigates which factors which influence companies upstream in the global supply chains to adopt a corporate social responsibility (CSR) agenda. Although external pressures, such as demands from Western consumers or international organizations and their related initiatives, may have shaped Eastern Produce Malawi's CSR agenda, strong internal organizational contingencies, including transformational leaders who recognize the significance of ethical issues and strong organizational values, led it to adopt this CSR agenda in practice. This study underscores the significance of using an integrative framework to explain various CSR drivers for companies. It concludes with managerial and public policy implications, as well as areas for further research.
AbstractHistorically, epidemics and plagues are repeatedly reported to have happened since the ancient civilizations (Egypt, Greece, Rome and imperial China). Most known examples of a devastating global pandemics in recent history are the ‘Black Death’ (14th century) and the global influenza (1918-1919), also known as ‘Spanish Flu’, that has killed nearly 50 million people in the world. Even thoughpandemics may vary in their dimensions, length (short vs. long), scope (local/regional, national, global) and severity of effects (minimal effects or maximal effects), they all represent distinct exogenous and endogenous shocks that have far reaching effects on population, health, economy and other societal domains.Currently, the Covid-19 pandemic has relentlessly spreaded around the world, leaving behind destructive marks on health, populations, economies and societies. The Covid-19 could spread quickly around the globe because of the current structure of the global economy, which is highly interconnected through sophisticated global transport networks. An important characteristic of a suchnetworked complex system is it vulnerability to unattended events of systemic risk such as the Covid-19 pandemic for example. These systemic risks cause substantial cascading effects, which lead to extreme outcomes that could permanently alter economic, environmental, and social systems.In this article, we first, present, discuss and analyze the potential impacts of the Covid-19 on global economy, trade and supply chains, by focusing on Europe and/or the Netherlands. Second, we examine the effects of the Covid-19 crisis on the shipping industry and on the hub ports and the policy measures that have been applied by different countries around the world.
The importance of water and energy accessibility and use has become more important as new insight into their role for sustainable development goals has become mainstream. The inclusion of water and energy in strategic decision-making is thus key. Supply chain network design (SCND) in the food industry is an interesting case study for the incorporation of water and energy utilization during the design process of global production systems. In the current green SCND research, frequently, single indicators are used such as carbon emissions to measure environmental impact. This paper presents a case study applied to an orange juice supply chain, formulated as a multi-objective optimization model. A single environmental impact indicator optimization approach is paired against one that includes water and energy use explicitly in the objective function set. Mixed conclusions are shown from the results pairing the two strategies side by side.
Globalization has opened new markets to Small and Medium Enterprise (SMEs) and given them access to better suppliers. However, the resulting lengthening of supply chains has increased their vulnerability to disruptions. SMEs now recognize the importance of reliable and resilient supply chains to meet customer requirements and gain competitive advantage. Data analytics play a crucial role in developing the insights needed to identify and deal with disruptions. At the company level, this entails the development of data analytic capability, a complex socio-technical process consisting of people, technology, and processes. At the supply chain level, the complexity is compounded by the fact that multiple actors are involved, each with their own resources and capabilities. Each company’s data analytic capability, in combination with how they work together to share information and thus create visibility in the supply chain will affect the reliability and resilience of the supply chain. The proposed study therefore examines how SMEs can leverage data analytics in a way that fits with their available resources and capabilities to improve the reliability and resilience of their supply chain. The consortium for this project consists of Breda University of Applied Sciences (BUas), Logistics Community Brabant (LCB), Transport en Logistiek Nederland (TLN), Logistiek Digitaal, Kennis Transport, Smink and Devoteam. Together, the partners will develop a tool to benchmark SMEs’ progress towards developing data analytic capability that enhances the reliability of their supply chain. Interviews will be conducted with various actors of the supply chain to identify the enablers and inhibitors of using data analytics across the supply chain. Finally, the findings will be used to conduct action research with the two SMEs partners, Kennis and Smink to identify which technological tools and processes companies need to adopt to develop the use of data analytics to enhance their resilience in case of disruptions.
Globalization has opened new markets to Small and Medium Enterprise (SMEs) and given them access to better suppliers. However, the resulting lengthening of supply chains has increased their vulnerability to disruptions. SMEs now recognize the importance of reliable and resilient supply chains to meet customer requirements and gain competitive advantage. Data analytics play a crucial role in developing the insights needed to identify and deal with disruptions. At the company level, this entails the development of data analytic capability, a complex socio-technical process consisting of people, technology, and processes.At the supply chain level, the complexity is compounded by the fact that multiple actors are involved, each with their own resources and capabilities. Each company’s data analytic capability, in combination with how they work together to share information and thus create visibility in the supply chain will affect the reliability and resilience of the supply chain. The proposed study therefore examines how SMEs can leverage data analytics in a way that fits with their available resources and capabilities to improve the reliability and resilience of their supply chain.Collaborative partners:Logistics Community Brabant, Transport & Logistiek Nederlands (TLN), SMINK, Kennis Transport, Logistiek Digitaal, Devoteam.
