ESGs and customer choice : some empirical evidence

The goal of this paper is to determine whether a company’s performance on environmental, social, and governance (ESG) indicators influences customer choice, and if so, which ones are the most important, as well as whether the COVID-19 pandemic had an effect on changing this hierarchy. Additionally, it intends to investigate the influence of regional and demographic factors on its formation. To achieve this goal, primary data were gathered in Greece via a questionnaire survey. According to the findings, a company’s performance on ESGs influences consumer choice, with an emphasis on environmental and social indicators. It was also demonstrated that a company’s social indicator performance is relevant to both urban and suburban customers. Customers in urban areas place a higher value on a company’s performance in governance indicators than those in suburban areas, who place a higher value on a company’s performance in environmental indicators. Finally, no significant COVID-19 effect was evidenced on the findings, although the emphasis on “social indicators” was further reinforced, probably due to the increase in social awareness of citizens during the pandemic

A Stochastically Optimized Two-Echelon Supply Chain Model: An Entropy Approach for Operational Risk Assessment

Minimizing a company’s operational risk by optimizing the performance of the manufacturing and distribution supply chain is a complex task that involves multiple elements, each with their own supply line constraints. Traditional approaches to optimization often assume determinism as the underlying principle. However, this paper, adopting an entropy approach, emphasizes the significance of subjective and objective uncertainty in achieving optimized decisions by incorporating stochastic fluctuations into the supply chain structure. Stochasticity, representing randomness, quantifies the level of uncertainty or risk involved. In this study, we focus on a processing production plant as a model for a chain of operations and supply chain actions. We consider the stochastically varying production and transportation costs from the site to the plant, as well as from the plant to the customer base. Through stochastic optimization, we demonstrate that the plant producer can benefit from improved financial outcomes by setting higher sale prices while simultaneously lowering optimized production costs. This can be accomplished by selectively choosing producers whose production cost probability density function follows a Pareto distribution. Notably, a lower Pareto exponent yields better supply chain cost optimization predictions. Alternatively, a Gaussian stochastic fluctuation may be proposed as a more suitable choice when trading off optimization and simplicity. Although this may result in slightly less optimal performance, it offers advantages in terms of ease of implementation and computational efficiency

Digital Transformation of the Greek Banking Sector in the COVID Era

Rapid developments in digital innovation and technology in recent decades have marked a transition into the fourth industrial revolution (and the fifth social revolution), causing a significant impact on all areas of human activity. Moreover, these developments have been strongly felt with the advent of the COVID pandemic. The COVID pandemic has acted as a catalyst for imminent changes within the operational models of banks and their digitization, both locally and internationally, dealing with this peculiar crisis as an opportunity rather than a threat. In this study, after conducting a bibliographic overview of the key literature, an analysis of the digital development that took place in the banking sector in Greece was conducted, comparing the views of bank customers to those of bank employees and investigating the key factors that are believed to have a positive and/or negative effect on the use of new digital banking products and services, as well as the influence of factors determining digital banking expansion (gender, age, educational level, pandemic, etc.). The results revealed that bank customers were quite satisfied and familiar with digital transactions and wished to expand their use, while they considered the possibility of 24/7 service as an important factor in choosing to use digital banking, and the factors for expanding their use were transaction speed, transaction security, and information security. However, bank employees accept digital transformation positively and believe that for it to be successful, additional and ongoing training is required to upgrade their digital skills, which will also contribute to culture change and adaptation to the digital era. Furthermore, the age and educational level of bank customers had a statistically significant effect on the growing acceptance and expansion of the banking sector’s digital transformation. A comparison of the correlations of the demographic data with answers given by bank employees did not reveal any significant variations regarding the findings given by bank customers. These findings can be useful for bank management policy-making issues, for banks and their supervising authorities to build KPIs to monitor and assess the digitalization progress, and for academics for further research, especially as the COVID pandemic ensues and the need for digital solutions is all the more urgent, marking the digital competition between banks as one of increasing intensity