Modern waterway transport and maritime logistics industries are being transformed through sustainable practices combined with digital innovation which leads to better operational efficiency along with decreased environmental effects. Green technology adoption requires support from regulatory frameworks and financial incentives to meet emission reduction standards and promote investments in alternative fuels and energy-efficient solutions. IoT-enabled cargo tracking alongside blockchain supply chain transparency and AI predictive maintenance systems improve operational dependability through better resource management. Sustainable practices, including energy-efficient vessel design, route optimization, and shore power integration, contribute to lower fuel consumption and emissions. Smart ports and automated terminals streamline cargo handling, reducing energy use and improving supply chain efficiency. This study examines the relationship between regulatory policies, digital enablers, and sustainability strategies, demonstrating their collective impact on creating a more efficient and environmentally responsible maritime sector. This systematic review examines the intersection of sustainability and digital innovation in waterway transport and maritime logistics. Studies were sourced from Scopus, Web of Science, IEEE Xplore, ScienceDirect, and JSTOR, covering literature on supply chain efficiency, green technology, maritime logistics, inland waterway transport and digital transformation. A total of 52 studies met the inclusion criteria, focusing on regulatory policies, blockchain-enabled transparency, AI-driven predictive maintenance, and sustainable maritime and inland waterway operations. Findings highlight that digitalization enhances environmental sustainability while improving logistical efficiency. Future research should explore policy frameworks that encourage eco-digital maritime ecosystems. This study adheres to PRISMA 2020 guidelines to ensure transparency and rigor.

Amidst the globalization of markets, there has been a continuous intensification of competitiveness between enterprises. The modern business environment has caused a shift in how business is conducted. Opportunities and challenges arise, which put a tremendous pressure on enterprises regardless of size and industry. Entrepreneurship in enterprises plays an important role in obtaining a competitive edge in the market. Thus, entrepreneurial intentions in enterprises can often shape the future and survival of the enterprise. In this paper, the prediction of entrepreneurial intentions in enterprises through Internet marketing predictors is addressed. For this, several statistical methods in data mining were used. First, simpler approaches such as linear regression, logistic regression were used. Afterward, classifier decision trees QUEST (quick, unbiased, efficient, statistical tree), and CHAID (chi-squared automatic interaction detection) were used. The sample for analysis was 137 enterprises from Serbia. Furthermore, a supervised machine learning algorithm, support vector machine (SVM) was used. Finally, a feed-forward neural network (FNN) was applied. The results varied across the applied approach, thus providing significant insights into the dynamics of data mining for prediction outcomes in an enterprise setting.

This paper explores the implementation of sustainable human resource management practices in maritime supply chains, with a focus on Green Human Resource Management (GHRM), workforce well-being and compliance with global standards. GHRM practices, including the digitalization of HRM processes and energy-efficient operations, are analyzed as key elements for reducing environmental impact while improving operational efficiency. Workforce well-being is addressed through health and safety training, mental health support and efforts to improve work-life balance, which contributes to long-term employee retention and satisfaction. Compliance with international regulations, such as the Maritime Labour Convention (MLC) and International Maritime Organization (IMO) standards, is highlighted as the basis for ethical labour practices and environmental responsibility. The paper suggests strategies for governments, businesses and individuals to contribute to sustainable human resource management, including policy implementation, workforce training and individual engagement. Through joint efforts, the maritime industry can achieve sustainable practices that support environmental goals and the long-term stability of its workforce.

This study explores the integration of circular supply chain management (CSCM) principles within the textile industry to drive sustainable innovation. Through a systematic literature review, this paper aims to dissect the components of CSCM that contribute to sustainability, assess the practical outcomes of circular practices in textile companies, and identify the barriers and enablers affecting CSCM adoption. The research questions focus on understanding the characteristics of circular supply chains in the textile sector, the real-world application and outcomes of these principles, the factors influencing the adoption of circular practices, and the implications for sustainability metrics. This review aims to provide a comprehensive overview of how CSCM can foster environmental, economic, and social sustainability in the textile industry, offering insights for businesses, policymakers, and researchers seeking to promote a more sustainable future.

This paper presents a comprehensive review of the evolving landscape of supply chain management (SCM) for small and medium-sized enterprises (SMEs), focusing on strategies for gaining a competitive advantage. The study highlights the significant impact of the COVID-19 pandemic and geopolitical challenges on global supply chains, necessitating a shift towards more resilient and adaptable systems. Key areas explored include supply chain risk management (SCRM), where proactive risk mitigation strategies help SMEs address vulnerabilities, and the adoption of digital technologies such as cloud computing, big data, and blockchain, which have become essential for supply chain optimization. The research also underscores the role of green supply chain management (GSCM) in improving sustainability and operational efficiency. A model is proposed that encourages continuous evaluation and feedback to drive improvements in logistics, product quality, and market share. The findings suggest that SMEs must embrace innovation, digitalization, and sustainability to thrive in an increasingly complex business environment. This review provides insights into how SMEs can leverage these factors to build resilient supply chains and sustain long-term competitiveness.

This paper aims to explore how to optimise the efficiency of food and beverage supply chains by focusing on transportation and mobility. This paper highlights the role of advanced technologies such as blockchain, artificial intelligence (AI), and Internet of Things (IoT) in traceability, demand prediction, and real-time equipment monitoring. It also points out that sustainable practises such as eco-friendly packaging, optimised logistics, and collaborative planning can reduce environmental footprints and operating costs. Moreover, it stresses challenges such as time variability, perishability, and regulatory compliance, and the need for adapting to consumer trends. This paper holds value as a possible introductory text for the extensive realm of sustainable supply chain management and it could assist practitioners in gaining a comprehensive understanding of the extensive academic literature.