Background: The service life and availability of electronic components are steadily declining, whereas the operational lifespan of industrial devices that incorporate such components often extends over several decades. This disparity creates a mismatch between the durability of individual...

As firms increasingly rely on user-generated data (UGD) to drive decision-making, questions of digital responsibility have become central to contemporary data governance. This article develops a governance model for UGD that integrates the ecosystem view with three complementary...

Leveraging data is becoming increasingly important for businesses. However, this transformation can be complex, as it requires a vast array of social and technical capabilities. To generate consensus in this domain, this study examines data & analytics maturity models by analyzing their...

The Event Driven Technology Intelligence (EDTI) model offers a structured approach to navigating the complexities of technological innovation. This research aims to summarize the core concepts and phases of the EDTI model while also exploring its significance in various industries. By expanding...

In today's fast-paced technological landscape, businesses must adapt to evolving business models and harness the power of data to thrive. Small and Medium-sized Enterprises (SMEs) face significant challenges in aligning IT infrastructure with business objectives while navigating digital...

Africa has significant potential to improve its climate-smart sustainable development by focusing on the Blue Economy. However, efforts to reach this potential are stymied by poor access to relevant data and knowledge due to inadequate historical investments in technology and institutional...

Big data are known to improve operational efficiency, competitiveness, and performance. Despite these unprecedented benefits, the understanding of how big data transform organizational processes remains limited. To address this gap, this research empirically investigates how big data analytics...

Blockchain is an innovative solution for many supply chain (SC) issues. This study presents empirical and theoretical evidence to address the following research question: How can blockchain impact the information flow in SCs to enhance cyber resilience? The practice-based view provides...

In a data-intensive environment, the ability to accurately identify and manage data risks is essential for maintaining cybersecurity, preventing potential threats, supporting decision-making, and enabling effective post-incident analysis. Existing approaches to data risk identification are...

Purpose: The purpose of this study was to investigate how optimised data management systems (DMS) can enhance the scalability of small and medium enterprises (SMEs) in South Africa from a vendor perspective. Design/methodology/approach: A qualitative case study was employed, focusing on a...

With pride we present the proceedings of the 32nd annual IDIMT Conference.Artificial Intelligence continues to make impressive advances and almost every month a new system is presented. But does this translate into a proportionate use in business - and as a second step, business advantages? In...

Virtualization is indispensable for a service-oriented IT infrastructure, and hybrid models are also obvious in research and teaching in order to use cloud environments and on-premises solutions equally. In addition to multi-cloud solutions, internal integration concepts are also important if an...

Background: Digital governance currently presents challenges in the context of ports, where efficiency and transparency are key elements for the success of operations. In ports, the effective adoption of digital governance can have a significant impact on optimizing operational processes and...

Im Mittelpunkt der Darstellung steht das individuelle Informationshandeln im beruflichen Kontext, d.h. die effektive Nutzung von Informationen am Arbeitsplatz. Dieser Inhalt wird mit dem Begriff „Persönliches Informationsmanagement“ – im Gegensatz zum betrieblichen Informationsmanagement...

The advent of the digital era and computer-based remote communications has significantly enhanced the applicability of various sciences over the past two decades, notably data science (DS) and cryptography (CG). Data science involves clustering and categorizing unstructured data, while...

As the study of nonprofit organizations and their operating environment has become increasingly interdisciplinary, scholars have leveraged business strategies to increase knowledge and improve performance. This study considers how strategic information technology alignment can impact...

Recent advancements in Enterprise Information Systems (EISs) have transitioned from primarily supporting operational and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review critically examines global literature from 2010 to 2023, focusing...

Purpose - Blockchain technology enhances information management in healthcare supply chains by securing healthcare information and providing medical resource traceability. However, there is no decision framework to support blockchain implementation for managing information, especially in...

This paper offers a business perspective on the EU data governance framework, particularly related to data sharing in the financial sector. With policy-making (“on the books”) centred on guaranteeing data privacy and data security whilst promoting innovation, firms face complexities when...

Data cooperatives are a type of data intermediary using long established cooperative models and global regulatory affordances to manage data with or on behalf of members (data producers) for the benefit of members or for trade with external queriers (data users).

In today's rapidly evolving digital landscape, the substantial advance and rapid growth of data presents companies and their operations with a set of opportunities from different sources that can profoundly impact their competitiveness and success. The literature suggests that data can be...

The study aims to systematically review the role of big data visualization in the auditing field. Employing a qualitative approach, the research utilized the Systematic Literature Review method to gather pertinent data. The study used 35 published articles extracted from different journals and...

"Using data-driven business intelligence is becoming essential for organizations seeking to align with ethical goals. By leveraging advanced analytics and predictive modeling, companies can transform companies with measurable outcomes. Business intelligence tools empower decision-makers to track...

"Information systems service management (ISSM) plays a crucial role in ensuring the efficient and reliable delivery of IT services that support organizational strategies. By adopting structured frameworks organizations can enhance service quality, reduce downtime, and align IT operations with...

Overview of the Medical Scientific Data and its Sharing -- Sharing Mechanism and Guarantee System of Practice -- International Policy and Consensus -- Medical Research Ethics -- Data Ethics -- Institutional Data Management -- Privacy Protection -- Informed Consent -- Framework of Data Standard...

Chapter 1. The Digital Construction Industry -- Chapter 2. The Digital Information Management in Construction -- Chapter 3. Cybersecurity Standards -- Chapter 4. Digital Information Infrastructures Security -- Chapter 5. Cybersecurity Challenges for Smart Buildings -- Chapter 6. Adapted...

Die Handreichung verfolgt das Ziel, den Forschenden in sozial-, verhaltens- und wirtschaftswissenschaftlichen Projekten den Einstieg in das Forschungsdatenmanagement (FDM) zu erleichtern. Im Fokus stehen dabei einzelne Forschungsprojekte oder kleinere temporäre Projektverbünde, die einen...

Considering calls for more collective approaches to governing data about people, this paper explores how such interventions have been envisioned and enacted by their proponents. I focus on four types of data intermediary: data trusts, decentralised autonomous organisations, data cooperatives and...

Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart algorithms have been developed to improve the performance of AI-oriented structures. However, model-centric approaches are limited by the absence of high-quality data. Data-centric AI is an emerging...

Proper management of geothermal data is essential to the long-term development of geothermal resources at economically attractive costs. Even after a particulargeothermal resource has come on stream, the data gathered in the process may be useful in the development of other projects-if they are...