This study examined the efficacy of artificial intelligence (AI) technologies in predictive risk assessment and their contribution to ensuring business continuity. This research aimed to understand how different AI components, such as natural language processing (NLP), AI-powered data analytics, AI-driven predictive maintenance, and AI integration in incident response planning, enhance risk assessment and support business continuity in an environment where businesses face a myriad of risks, including natural disasters, cyberattacks, and economic fluctuations. A cross-sectional design and quantitative method were used to collect data for this study from a sample of 360 technology specialists. The results of this study show that AI technologies have a major impact on business continuity and predictive risk assessment. Notably, it was discovered that NLP improved the accuracy and speed of risk assessment procedures. The integration of AI into incident response plans was particularly effective, greatly decreasing company interruptions and improving recovery from unforeseen events. It is advised that businesses invest in AI skills, particularly in fields such as NLP for automated risk assessment, data analytics for prompt risk detection, predictive maintenance for operational effectiveness, and AI-enhanced incident response planning for crisis management.

The measurement of social and psychological phenomena has been advanced by recent progress in the fields of behavioural economics and hedonic psychology. In addition, the increased interest in understanding how individuals perceive their own quality of life, has led to investigating the relations between various macro and individual level variables, generically subsumed as happiness. For many “happiness is considered to be an ultimate goal in life” and it plays an important role in the way people perceive the overall society they live in. Therefore, social scientists and behavioural economists are now stressing the importance of well-being measures, related to people’s evaluations of their quality of life in addition to economic indicators. In the transport sector, project evaluation is mainly based on cost–benefit analyses using economic indicators. However, any provided transportation project/service impacts the quality of the travel experience, the well-being of travellers and their travel behaviour. Competitiveness of modes may be also affected by the promotion of derived or experienced travellers’ well-being. Thus, existing behavioural travel choice models should be enhanced with regards to their behavioural validity incorporating the impacts of travelling happiness/ satisfaction. This study aims to understand and model the impact of stated (anticipated) happiness in the decision choice between a private transport mode—car, and a public transport mode—metro.

Purpose: The purpose of this study is to investigate the effect of environmental performance on the environmental disclosure level.Design/methodology/approach: Carbon disclosure leadership index score is considered as a proxy of carbon disclosure level, while greenhouse gas (GHG) emissions as a proxy of environmental performance. In addition, six control variables are used: return on assets, financial leverage, company’s size, CEO duality, board size and percentage of independent directors on board. The sample comprises 102 companies from a population of Standard & Poor’s 500 (S&P 500) companies over a five-year period, 2009-2013.Findings: Results revealed that higher pollution levels in terms of GHG emissions affect negatively the dissemination of carbon disclosure information, suggesting a positive relationship between environmental performance and environmental disclosure level. In addition, companies with good environmental performance in relation to their average environmental performance disseminate more carbon information in their disclosures. Thus, the carbon disclosure level is indicative of environmental performance consistent with the voluntary disclosure theory.Practical implications: The managerial behavior regarding the relation of environmental disclosure and environmental performance is explained. In addition, the findings should be of use to those investors interested in finding carbon emission information so that they assess investments and evaluate their current portfolios in terms of environmental sustainability.Originality/value: It is intended to ascertain the reliability level of carbon disclosure regarding carbon emission information by incorporating the carbon disclosure leadership index score and GHG emissions.

Water resources management is a critical component of environmental conservation and sustainable development. This study examines the integration of water resources management strategies into land use planning and its impact on environmental conservation, with a focus on the case of Greece. This study employed a quantitative research methodology using a cross-sectional survey research design. The target population consisted of environmental experts in Greece, and a sample of 278 participants was selected based on the Krejcie and Morgan table for sample size determination. Data were collected through an online survey questionnaire, and the statistical analysis was conducted using SPSS version 23. The relationships between the study variables were examined through regression analysis. The findings support the hypotheses, demonstrating the importance of integrating water resources management strategies into land use planning to achieve both sustainable development and environmental conservation. This paper discusses various strategies and approaches that can be adopted to effectively manage water resources while considering the impacts of land use decisions on the environment. Better public awareness and better enforcement of water conservation rules result from this integration, which makes it possible for land use authorities and water management agencies to collaborate more effectively. This study acknowledges the need for strategic planning and cooperation between water management and land use authorities to address the growing challenges of water resources management and environmental protection. Emphasizing stakeholder participation, adaptive management, and continuous monitoring can lead to successful outcomes and a more resilient and sustainable future.