As businesses increasingly prioritize sustainability, integrating Environmental, Social, and Governance (ESG) principles with green computing has emerged as a critical strategy. However, research remains fragmented regarding how these two domains interact within the Triple Bottom Line (TBL) framework. This study conducts a bibliometric analysis of 750 articles published between 2004 and 2024, using multiple correspondence and co-citation analyses to identify key trends. The findings highlight a strong correlation between green computing practices and improved economic outcomes. The results indicate that China and the United States lead research output in this field, with a significant rise in publications post-2018, driven by regulatory pressures and corporate sustainable initiatives. Our findings emphasize that companies integrating green computing with ESG strategies can achieve long-term financial sustainability while meeting environmental and social responsibilities. This study provides insights from business leaders, policymakers, and researchers by identifying critical gaps and future research directions, including industry-specific applications and policy frameworks to accelerate ESG adoption in technology-driven enterprises. Future research should address practical challenges in implementing these practices across different industries and explore the long-term impacts of ESG integration on business performance.

Audit Quality Indicators (AQIs) have become vital tools for assessing and improving audit performance. This study examines how AQIs are defined, implemented, and interpreted across jurisdictions, with a particular focus on their integration into ESG (Environmental, Social, and Governance) assurance. Through a cross-jurisdictional comparison covering the EU, UK, US, and Canada, we analyze regulatory diversity and explore how different oversight models influence AQI adoption. Our findings reveal that AQIs play an increasingly important role not only in enhancing audit transparency but also in reinforcing the credibility of sustainability reporting under evolving frameworks like the EU’s Corporate Sustainability Reporting Directive (CSRD). However, implementation remains fragmented, and standardization challenges persist. The study offers empirical insights from a large-scale survey of audit professionals, highlighting how perceptions of audit quality vary by country, experience, and organizational context. We conclude that the harmonization of AQI frameworks, especially with ESG-focused metrics, is essential to foster public trust and ensure the accountability of sustainability assurance.

As businesses increasingly prioritize sustainability, integrating Environmental, Social, and Governance (ESG) principles with green computing has emerged as a critical strategy. However, research remains fragmented regarding how these two domains interact within the Triple Bottom Line (TBL) framework. This study conducts a bibliometric analysis of 750 articles published between 2004 and 2024, using multiple correspondence and co-citation analyses to identify key trends. The findings highlight a strong correlation between green computing practices and improved economic outcomes. Results indicate that China and the United States lead research output in this field, with a significant rise in publications post-2018, driven by regulatory pressures and corporate sustainable initiatives. Our findings emphasize that companies integrating green computing with ESG strategies can achieve long term financial sustainability while meeting Environmental and social responsibilities. The study provides insights from business leaders, policymakers, and researchers by identifying critical gaps and future research direction, including industry – specific applications and policy frameworks to accelerate ESG adoption in technology – driven enterprises. Future research should address practical challenges in implementing these practices across different industries and explore the long-term impacts of ESG integration on business performance.

The aim of this paper is to exact the most effective model at capturing the seasonal and short-term components of passenger traffic in Southwest Crete coastal shipping. There has been no similar effort in the past. The passenger traffic forecast is crucial for the public and private sector, as it is necessary for decision making. In our analysis we considered the six largest ports of Southwest Crete. The seasonal repeated fluctuations and the quarterly observations made Winter’s triple exponential smoothing, time series decomposition, simple seasonal model, seasonal ARIMA model and Lis’ simplistic forecast suitable for our case. The results showed that in four of the six ports the Winters’ method is best adapted. The port of Gavdos adapts better to the decomposition method and the port of Sougia to Li’s method. No port led, through the seasonal ARIMA models or simple seasonal model, to better results. In most cases, traffic trend did not change over time, the seasonal component significantly affected the time series, and the time series smoothing was strong.

This study examines how sentiments and perceptions in Greece relate to seaplane adoption, building on prior work on Greek users’ emotions and attitudes toward seaplane services. Using survey data from N = 443 respondents (N = 373 used in the logistic model), we estimate a binary logistic regression for the intention to choose a seaplane. Perceived comfort and safety (F3) is the dominant predictor, substantially increasing the odds of adoption (e.g., OR = 6.67, 95% CI [4.09, 11.35]; robust under Firth penalization). In the full MLE model, emotion dummies (Freedom, No feelings) are not statistically significant relative to Joy; Fear exhibits quasi-complete separation, so its MLE coefficient is not interpretable (penalized results are provided as sensitivity). Model performance indicates acceptable discrimination (AUC = 0.782, 95% CI [0.734, 0.829]). Better perceived comfort and safety are critical for broader seaplane use in island and coastal regions.