Enhancing the integration of digital interfaces in outbound logistics: An exploratory case study in the Netherlands

An increase in shipping quantities has put its strain on incumbent integration mechanisms in third-party outbound logistics. Therefore, Application Programming Interfaces (APIs) have recently witnessed increasing attention from practitioners in the logistics industry. However, implementing so-called Shipping APIs has proven to be difficult. With...

Tracing Blockchain Value: Understanding The Case Of Blockchain In Supply Chain Traceability

Modern supply chain and procurement departments are faced with a lot of challenges. Supply chains have become global, resulting in complex networks. With access to more information customers have access and have become more demanding on issues such as quality or sustainability. This has led to an increased interest among different companies in...

The Openness between Platforms: What Changes in an IoT Context?

The main problem hampering innovation in the Internet of Things (IoT) is the fragmentation and lack of interoperability between IoT platforms. A possible solution for IoT platform sponsors to overcome this problem is to open up towards other platforms. To better understand how the IoT platform market is evolving and to inform future decisions...

Unraveling Incentives: Understanding the Adoption Barriers of SBOM in the Software Supply Chain: Obtaining novel insights into how a current misalignment of (dis)incentives among business stakeholders in the software supply chain can explain the limited adoption of SBOM

In today's business landscape, software has become an integral part of operations for all companies, with a growing reliance on third-party components. This increasing complexity in software supply chains has led to a significant reduction in transparency and visibility, posing challenges for effective management and security. Software Bill of...

Engaging the Crowd in Sensing for Smart Mobility: A Discrete Choice Experiment Investigating Users' Preferences in Participatory Sensing Applications

In 2050, it is expected that 70% of the world’s population will live in cities (Jin et al., 2014), leading to increasing congestion in and surrounding cities. This will raise new challenges, requiring more efficient and interactive cities. A novel paradigm contributing to these so-called smart cities is participatory sensing. Also known as...

Improving financial services organisations their information security: Improving the implementation of the right access controls in IAM systems of organisations within the financial services sector

The battle has been won, but the war is not over: A study of the end-user remediation of mobile phone users infected by smishing-based malware and the misalignment thereof

Mobile phones are playing an increasingly significant role. The surge of services and tasks performed on mobile phones is accompanied by an ever-increasing amount of personal data about the owner. This has made mobile phones ideal targets for cyber criminals and it has translated into an increase in malware targeting mobile phones. Social...

Two phase implementation of a machine learning (ML) model in demand forecasting for organisations

Demand forecasting plays a critical role in organizational planning, encompassing inventory management, capacity allocation, and financial decision-making. However, achieving accurate forecasts can be challenging, particularly in industries characterized by high demand volatility, such as semiconductor assembly equipment manufacturing,...

How to increase citizens' involvement in public participation using blockchain technologies?

Public participation plays a crucial role in democratic governance, as it allows citizens to contribute their opinions and influence decision-making. However, traditional methods of public participation often face challenges such as lack of transparency, limited accessibility, and low citizen engagement. This master thesis explores the potential...

Expanding the Quantified-Self: To optimize performance of knowledge workers and to minimize burnout risk

Burnouts are a severe, negative consequence of lacking performance management within firms and a result of a disbalance between energy input (e.g: sleep, social activities, physical activity) and output (e.g: workload, anxiety on the job, caring for a kid) Burnouts lead to employment challenges for firms, resulting in a potential threat for the...

The Impact of Vocal Communication and its Personalization on Intention to Use of Chatbots Using Behavioral Activation to Support Patients Experiencing Depression

The 21st century has seen a significant increase in the global prevalence of mental health problems, affecting almost a billion people. These conditions not only reduce the quality of life for individuals but also lead to stigmatization, discrimination, and social isolation. The COVID-19 pandemic has further exacerbated mental health issues,...

Auditing Artificial Intelligence

Recent technological advancements have enabled the development of increasingly impactful and complex Artificial Intelligence (AI) systems. This complexity is paired with a trade-off in terms of system opacity. The resulting lack of understanding combined with reported algorithm scandals have decreased public trust in AI systems. Meanwhile, the...

Design guidelines to protect stakeholders’ values in AI systems: Based on a use case situated in the Japanese life insurance industry

Integrating artificial intelligence (AI) into Japan's life insurance sector marks a significant move towards data-centric precision, reflecting the nation's shift towards Society 5.0. In this domain, AI is revolutionizing decision-making processes and enhancing operational efficiency, with applications ranging from fraud detection in credit card...

Leveraging Indirect Indicators: Correlating Ransomware Attacks to Threat Actors

The increasing dependence on technology has made society vulnerable to cyber threats, with ransomware becoming a major concern. The complex nature of the Ransomware-as-a-Service (RaaS) model makes identifying the attackers challenging. Traditional methods often rely on direct indicators, but these may not be readily available or reliable. This...

DNN-porting for maximizing inference hardware utilisation at the Edge

Industry 4.0 and the Industrial Internet of Things (IIoT) growth will result in an explosion of data generated by connected devices. Adapting 5G and 6G technology could be the leading enabler of the broad possibilities of connecting IIoT devices in masses. However, the edge solution has some disadvantages, such as the loss of resource elasticity...