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...

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...

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).

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...

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...

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...

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...

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...

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...

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...

The Caribbean is highly vulnerable to the impacts of climate change, extreme weather events and other natural hazards. The subregion is also exposed to anthropogenic hazards, including petroleum and other industrial chemical spills, fires, and soil, air and water pollution. These hazards can...

This research aims at producing a thorough and accurate analysis on how big data as a service and business intelligence capabilities provide a series of opportunities for small and medium enterprises to succeed in E-commerce. The statistical data were drawn from samples of accountants within...

The aim of the paper is to explain what is meant by Digital Risk&Governance. For this purpose, it is important to retrace the technological evolution that has affected the last few decades: from branches to Mobile Banking, from the digitalization of transactions to the creation of Fintech, from...

Eine wichtige Fähigkeit für wettbewerbsfähige Unternehmen, in einem unsicheren Unternehmensumfeld, ist die organisatorische Agilität. Trotz zahlreicher positiver Auswirkungen auf die Unternehmensleistung, z.B. erhöhte Kundenzufriedenheit, stehen insbesondere Produktionsunternehmen vor der...

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...

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...

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...

Business intelligence (BI) has become increasingly popular among executives in various industries owing to its potential to facilitate informed decision-making. Nevertheless, its adoption is not well explored in higher education institutions (HEIs), where a large volume of data is generated....

This paper shows how causes and mechanisms behind past information technology (IT) project failures can be used for systematic risk mitigation in new IT projects. This is significant because successful IT projects are needed to realise the benefit potential of digitalisation, whereas failed IT...

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...