Management of occupational health and safety (OHS) plays a critical role in building safe and effective working environments, especially in industries defined by dangerous operations like manufacturing. Secondary industries are characterized by their use of dangerous materials, complex machinery, and repetitive manual work, prompting the need for stringent OHS laws to protect employees and support business sustainability. Although extensive regulatory materials like ISO 45001 and EU Directive 89/391/EEC exist, the implementation of OHS standards varies among organizations significantly. While larger organizations adopt structured frameworks of safety management, small and medium enterprises (SMEs) are often confronted by economic and technical constraints. As a result, policies only appear on paper, and their attitude toward occupational safety is passive. Employing a structured survey analysis, this study evaluates the level at which manufacturing companies in Macedonia-Thrace, a region in Northern Greece, implement OHS actions, the barriers that face them, and how OHS programs influence business performance. Based on the findings, companies that apply proactive OHS practices achieve more productivity, increased staff retention, and lower costs due to accidents, while SMEs often find it difficult to undertake comprehensive policies. The research further identifies the impact of electronic technology, regulation, and leadership on enhancing OHS performance. This study provides evidence-based recommendations on policy changes through the exploration of regionalized patterns of adoption of OHS practices by industrial companies and key policy intervention areas. By eliminating underlying structural loopholes in the implementation of OHS, this paper provides research-backed policy solutions aimed at enhancing work safety and improving corporate performance in the secondary industry. The reinforcement of OHS measures not only reduces hazards at the workplace but also improves the resilience of business, its competitiveness, and conformity to regulations.

The purpose of this paper is to develop a performance assessment modeling for managing transport enterprises and provide a framework that explains the conditions under which performance of enterprises optimized. In doing so, the multiples streams built upon the different stakeholders and shareholders as well as social actors play in the transport enterprise performance optimization. The novelty of this paper is the development of a computational modeling framework addressing the added value footprint by large transport operators providing mobility and accessibility to a regional economy. The analysis outputs promoting explanations towards operational efficiency and business productivity on one hand; and supporting decisions toward sustainable development, business intelligence and new investments on the other. The assessment methodology is based on "Fuzzy TOPSIS" modelling, where a series of key performance indicators have been introduced, providing results over time to assess business innovation and illustrate drivers of action towards sustainable development and business intelligence. Managerial implication of the paper is the development of a multi-objective assessment framework providing essential support for managing real business applications in transportation and support decisions towards resources optimization, adjustments in cooperate governance model and policies, assessment of new investments and short-term or/and long-term action plans.

In the digital era, effective business management relies on dynamic risk analysis and real-time data integration, particularly amid the evolving landscape shaped by technological advancements and external factors such as climate change and global health crises. This study delves into the specific demands for digital services within the transportation sector, focusing on the crucial task of identifying an optimal data-driven management system (platform) to bolster transportation decision-making processes. The paper revolves around the formulation of a comprehensive conceptual framework for the development of intelligent services and platforms tailored explicitly to transport enterprises. Methodologically, a thorough analysis of critical infrastructure-related challenges was conducted, emphasizing the integration of a service-oriented approach to enhance overall functionality. Central to the paper’s approach is the careful navigation of conflicting user requirements, resource constraints, and the imperative of maintaining adaptability in service implementation. Additionally, a robust data flow analysis framework is presented, encompassing data collection, model building, and model extrapolation, which enables the generation of reliable outputs essential for informed decision-making. Notably, the study underscores the pivotal role played by the EN.I.R.I.S.S.T. research infrastructure in delivering essential services to the transportation domain, offering accessible data, user-friendly interfaces, and data analysis tools. The findings highlight the enthusiastic reception of the diverse services among potential users, indicating a strong willingness to engage and benefit from the proposed solutions. By emphasizing the integration of intelligent services, the paper seeks to present a systematic approach aimed at enhancing the efficiency, productivity, and competitive edge of transport enterprises through the strategic deployment of advanced technological solutions and proactive planning. This paper ultimately contributes cutting-edge research insights, empowering transportation managers, planners, and decision-makers with valuable resources for informed business intelligence and corporate strategy.

The advancement of sustainable economic development has become a strategic imperative for enterprises aiming to combine financial development with environmental and social responsibility. In this regard, strategic enterprise management (SEM) has a critical role in incorporating the aspects of sustainability into decision making. The present paper suggests a multicriteria decision-making framework that utilizes fuzzy TOPSIS in assessing and ranking sustainability integration aspects in organizations. By considering the intrinsic vagueness of sustainability analysis, the fuzzy TOPSIS model enables the systematic analysis of environmental, social, and governance (ESG) factors by companies for ensuring their alignment to corporate strategic goals. A case study of a major international airport in Greece demonstrates how the proposed methodology assists strategic choice making, balancing economic viability and sustainable value creation. The results show primary trade-offs among human capital investment, environmental footprint reduction, and stakeholder communication, demonstrating how companies can enhance long-term resilience and competitiveness. This research adds to the existing literature by giving an integrated strategic enterprise management framework with the use of decision support instruments to foster sustainability-oriented corporate governance and strategic efficacy. The suggested model is flexible and can be applied in any industry, hence being a benchmark for sustainable business practice. This paper contributes to the literature by integrating fuzzy TOPSIS with balanced scorecard in the context of airport strategic sustainability management, offering both methodological advancement and empirical insights for transport and supply chain enterprises.

The oil and gas industry is at a critical crossroads, necessitating a re-evaluation of corporate strategies to align with sustainability imperatives. This paper investigates how oil and gas companies formulate and implement corporate strategies aligned with sustainability imperatives. By identifying the factors influencing strategic decisions and analyzing the application of corporate agility mechanisms, this study evaluates the integration of sustainability goals such as the United Nations Sustainable Development Goals (SDGs) and the European Green Deal within strategic frameworks. It also examines alignment with international frameworks like the SDGs. The study highlights the proactive approaches of oil and gas companies to adapt to shifting market and regulatory dynamics, fostering sustainability. Key challenges include balancing trade-offs in pursuing sustainable development and meeting diverse stakeholder expectations. Through case studies and empirical analysis, this research offers actionable insights for policymakers and business leaders, emphasizing the role of corporate agility in navigating the evolving energy landscape. The findings underscore the need for adaptability as companies face unprecedented changes, driving progress toward a more sustainable energy future.

Ethical decision-making is a core challenge for entrepreneurs navigating complex business environments. This chapter explores how simulation-based learning enhances ethical competencies by immersing participants in real-time, high-stakes dilemmas that mirror actual business scenarios. Drawing on experiential learning theory, the study examines how entrepreneurs develop moral sensitivity, ethical reasoning, and leadership skills. Through structured decision-making exercises, participants refine their ability to balance financial imperatives with corporate social responsibility, stakeholder interests, and regulatory compliance. The findings demonstrate that simulations bridge the gap between ethical theory and practice, fostering resilience and adaptability in handling ethical crises. By integrating simulation-based ethics training into entrepreneurship education, this study highlights the potential to cultivate a new generation of ethical leaders capable of making principled, informed decisions in dynamic business landscapes.