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...

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...

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...

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...

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...

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...

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...

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 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...

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...

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...

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...

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).

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...

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 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...

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...

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...

Die 7. Ausgabe der "Grundlagen der praktischen Information und Dokumentation" (Erstausgabe 1972) heißt jetzt: „Grundlagen der Informationswissenschaft". Der Bezug zur Praxis und zur Ausbildung bleibt erhalten, aber der neue Titel trägt dem Rechnung, dass die wissenschaftliche theoretische...

The present working paper aims to describe the data sources and methods used to develop the Territorial Economic Data viewer (TEDv), as well as to explain the purpose and usefulness of the different dashboards available in the current version of the tool. Additionally, this paper includes...

Driven by digital technologies, manufacturers aim to tap into data-driven business models, in which value is generated from data as a complement to physical products. However, this transformation can be complex, as different archetypes of data-driven business models require substantially...

Novel information technologies have facilitated not only the development of new industries, but also brought new opportunities and challenges. The range of challenges includes threats related to the information security of not only the commercial, but also the public sector of the national...

Chris and Clive have decided to keep up with the requirements of their company, to comply with the requirements of work and to keep up with modern times by moving to a full-time business. All the shareholders have agreed to introduce advanced technology and move to a higher step to keep up with...

This document will discuss some crucial operational aspect to the National Agricultural Development Company (NADEC) https://nadec.com.sa/ dairy Milk production company such as how well the inventories within the production system are currently managed, detailed illustration of the critical...

With the extensive volume of data accumulation, the need for a powerful, and effective data management tool became prominent. As a result, Big Data Analytics became a major choice of data management for different industries. However, the adoption of Big Data Analytics has been slow in the...