Logistics in ports plays a multifaceted and essential role in the efficiency and success of port operations. It encompasses everything from coordinating the movement of goods to inventory management, documentation, customs integration, and security. By optimizing these processes, logistics contribute significantly to international trade, economic growth, and global connectivity [1,2,3].

In the port context, logistics covers several essential functions that contribute to the smooth and efficient running of cargo handling activities. The first crucial point is addressed by Akhavan [4] and Mangan et al. [5] and includes the receipt and discharge of goods. Logistics plays a vital role in coordinating berthing operations, positioning vessels, and efficiently unloading cargo from ships, ensuring that products are moved quickly and safely. Temporary storage is also a key focus area [6]. Logistics in ports involves allocating suitable spaces for storing different types of goods, ensuring that they are organized and protected from damage. Furthermore, inventory management is another critical task [7,8,9]. Maintaining a balance between supply and demand, monitoring stock levels, and moving goods as necessary is a crucial part of port logistics. The integration of modes is another aspect that logistics addresses strategically [10]. Ports are connection points between different modes of transportation, and logistics work to ensure a smooth and efficient transition of goods between ships, trucks, and trains. This includes coordinating schedules, choosing the most efficient routes, and minimizing waiting times [11,12,13]. Additionally, port logistics deals with risk management and security. This involves implementing security measures to protect goods, port facilities, and workers, as well as preparing for emergencies such as cargo spills [14].

Digital transformation is profoundly reshaping logistics activity, optimizing processes, and improving efficiency throughout the supply chain. The adoption of technologies such as the Internet of Things (IoT), Big Data, artificial intelligence (AI), and automation has a significant impact on the way companies manage their logistics operations [15,16]. However, digital transformation brings with it several challenges that require careful approaches to ensure successful implementation. One of the main challenges is the integration of heterogeneous systems and platforms. As Herold et al. report [17], many companies have legacy systems and diverse technologies in their operations, which makes it difficult to create a cohesive platform. Interoperability between these systems is essential for an efficient supply chain, but complex integration can require a significant investment in terms of time, resources, and expertise [18]. Organizational culture is another obstacle. Adopting new technologies and working practices often requires profound cultural changes [19]. Teams can be resistant to change and slow to adapt to new forms of collaboration and work processes. Financial costs also represent a substantial challenge [20]. Implementing advanced digital solutions in logistics can be expensive, covering not only the initial costs of acquisition and implementation, but also the ongoing costs of maintenance, updating, and training. Finally, Santhi and Muthuswamy [21] report that cybersecurity is a critical concern in the digital transformation of logistics. With greater dependence on digital systems and connectivity, the risk of cyberattacks increases.

Digital transformation is a multifaceted process that involves the integration of digital technologies and strategies across various aspects of an organization, society, or industry, to enhance operations, communication, and decision making. Digitalization encourages interdisciplinary research by making it easier for researchers from different fields to access and integrate diverse data sets and knowledge sources [30]. At its core, digitalization starts with the digitization of analog data and assets [31]. This involves converting physical documents, images, and records into machine-readable formats through technologies such as scanning and optical character recognition. Once digitized, data are stored and managed in digital repositories. Borangiu et al. [32] and El-Haddadeh [33] highlight that cloud computing and data centers offer scalable storage solutions, facilitating easy access to information from anywhere. Gao et al. [34] add that efficient data management systems are essential for organizing and indexing data, reducing redundancy, and enabling rapid retrieval.

The digitalization process also encompasses automation. Manual and repetitive tasks are replaced by software applications, robotics, and artificial intelligence. This streamlines processes, reduces errors, and accelerates operations, resulting in increased productivity [35,36]. This automation extends to interconnected systems as pointed out by Plekhanov et al. [37]. Through the IoT, devices, machines, and systems communicate and share data in real-time, enabling remote monitoring, control, and data-driven decision making. Capurro et al. [38] concluded that digitalization’s true power lies in data analysis. The sheer volume of digital data generated is harnessed through advanced analytics, including machine learning and data mining. This empowers organizations to uncover insights, patterns, and trends that inform strategic decisions and predictive models [39,40].

Enhanced communication and collaboration are key factors in digitalization. The convergence of technology, connectivity, and diverse work environments necessitates comprehensive strategies that go beyond simple bullet points. Imran et al. [41] recommend that to effectively foster improved communication and collaboration, organizations must embrace holistic approaches that combine technological tools, cultural shifts, and well-defined processes. Tools such as videoconferencing and collaborative document sharing empower teams to engage in real-time discussions, share information, and collectively contribute to projects. Furthermore, the integration of emerging technologies, such as AI-powered chatbots and virtual reality, can further enhance engagement and streamline workflows [42]. Moreover, well-defined workflows, regular check-ins, and effective task allocation mechanisms contribute to keeping teams aligned and on track [43]. Regular feedback loops help to ensure that teams are adapting to changing circumstances and learning from their experiences [44].

One of the most significant impacts of digitalization is its ability to fuel innovation and give rise to new business models across industries. This synergy between digitalization, innovation, and business models stems from several key drivers and mechanisms. First, digitalization provides an unprecedented abundance of data. With the proliferation of internet-connected devices and platforms, an immense volume of data is generated, capturing insights into consumer behavior, market trends, and operational performance. Kostakis and Kargas [45] advocate that businesses can leverage this data to gain deep insights into customer preferences, enabling them to tailor their products and services to meet specific needs effectively. Second, digitalization enables agile and iterative development processes. Traditional business models often involve lengthy product development cycles, making it challenging to incorporate rapid changes and respond to evolving market demands. However, digitalization facilitates iterative development through techniques such as agile methodologies and continuous integration [46,47]. This iterative approach fosters ongoing innovation, allowing businesses to refine their offerings in response to real-time feedback, ultimately leading to more customer-centric solutions. Third, digitalization encourages collaboration and co-creation. Online platforms, social media, and digital communication tools enable businesses to engage with customers, partners, and even competitors in new ways [48]. This interconnectedness can lead to collaborative innovation, where diverse stakeholders contribute their expertise to create value-added solutions.

The benefits of digitalization processes are unequivocal. However, with these benefits come significant security challenges that must be addressed to ensure the integrity, confidentiality, and availability of digital systems and data. One of the key reasons why security is critical in the realm of digitalization is the sheer volume of sensitive information being transferred and stored digitally. Personal data, financial records, intellectual property, and other confidential information are constantly being exchanged across digital platforms. Without robust security measures, these data become vulnerable to unauthorized access, cyberattacks, and data breaches. Such incidents can lead to severe consequences, including identity theft, financial loss, and reputational damage to individuals and organizations alike [49,50,51]. Moreover, the interconnected nature of digital systems amplifies the potential impact of security breaches. As revealed by Shinde and Kulkarni [52], a single vulnerability in one part of a digital network might compromise an entire ecosystem, disrupting critical services and causing widespread chaos.

Digitalization has impacted every facet of logistics, from supply chain management to last-mile delivery, revolutionizing the industry’s efficiency, transparency, and overall effectiveness. One of the key impacts of digitalization is the enhanced visibility and transparency it offers across the supply chain. Advanced tracking and monitoring systems powered by the IoT allow real-time monitoring of shipments, enabling companies to pinpoint their exact location, condition, and estimated time of arrival. The literature reveals that this increased visibility minimizes disruptions, reduces the risk of theft or damage, and facilitates proactive problem solving [53,54]. However, digitalization can also pose risks in terms of the digital divide, which is characterized by Vassilakopoulou and Hustad [55] as the gap between those with access to technology and those without. Consequently, it could exacerbate existing inequalities in the industry. Last, digitalization is an iterative process. Rapid technological advancements cause continuous adaptation. Organizations must assess and integrate new technologies to remain competitive and relevant in an ever-evolving digital landscape.

Ports are pivotal nodes in global supply chains, facilitating the movement of goods between land and sea. By embracing digital transformation, ports can address various challenges and capitalize on numerous opportunities to enhance their efficiency, productivity, and sustainability. The pursuit of operational efficiency is one of the objectives of ports. Digital technologies such as the IoT, automation, and advanced data analytics enable ports to optimize their operations. Sensors and smart systems can monitor cargo handling, equipment performance, and traffic flow in real time [56]. This leads to faster loading and unloading of vessels, reduced waiting times for ships, and overall increased operational efficiency. Real-time tracking and increasing the visibility of operations are other goals. Digital transformation provides the means to track cargo and vessels in real time. These real-time data are invaluable for various stakeholders, including shipping companies, logistics providers, and regulatory agencies [57]. Finally, ports have a significant environmental impact due to their energy consumption, emissions, and potential ecosystem disruption [58]. Digital transformation can help mitigate this impact by monitoring and reducing carbon emissions. Various examples can be found of the benefits of digital transformation in ports around the world. Eagle [59] highlights the cases of the ports of Hamburg, Antwerp, and Singapore in using technology for greater operational efficiency. Moore [60] gives the example of Tianjin port in China to highlight the potential of 5G technology, automation, and renewable energy for autonomous driving processes. Klar [61] applies the concept of digital twins to ports, resulting in a digital representation of a physical port facility and its operations. It is a concept rooted in the broader field of IoT and Industry 4.0, where physical objects and systems are mirrored in a virtual environment using data from sensors, devices, and various data sources.