Skip to main content

Research Repository

Advanced Search

Outputs (21)

The Impact of Climate Action on the Financial Performance of Food, Grocery, and Supermarket Retailers in the UK (2024)
Journal Article

We examined the impact of climate action on the financial performance of eleven food, grocery, and supermarket retailers listed on the London Stock Exchange from 2013 to 2022. Our findings reveal a positive association between the climate mitigation... Read More about The Impact of Climate Action on the Financial Performance of Food, Grocery, and Supermarket Retailers in the UK.

Producers Responding to Environmental Turbulence in the Greek Agricultural Supply Chain: Does Buyer Type Matter? (2020)
Journal Article

There are many changes in the EU Agricultural Supply Chain (ASC). These changes cause environmental turbulence for supply chain entities operating in this sector. In the Greek ASC, there is a significant decline in its performance in particular at pr... Read More about Producers Responding to Environmental Turbulence in the Greek Agricultural Supply Chain: Does Buyer Type Matter?.

Influence of Organisational Culture on Supply Chain Resilience: A Power and Situational Strength Conceptual Perspective (2020)
Journal Article

The purpose of this paper is to explore how organisational culture, represented by the competing values framework (CVF), and the relationship mechanisms of situational strength and power influence an organisation’s approach to supply chain resilience... Read More about Influence of Organisational Culture on Supply Chain Resilience: A Power and Situational Strength Conceptual Perspective.

Predicting supply chain risks using machine learning: The trade-off between performance and interpretability (2019)
Journal Article

Managing supply chain risks has received increased attention in recent years, aiming to shield supply chains from disruptions by predicting their occurrence and mitigating their adverse effects. At the same time, the resurgence of Artificial Intellig... Read More about Predicting supply chain risks using machine learning: The trade-off between performance and interpretability.