Die Erstellung eines Intelligence Collection Plans (ICP) stellt einen zentralen Arbeitsschritt im Schnittpunkt aus der Direction-Phase (siehe Abbildung 1) und dem Intelligence Requirement Management (IRM) innerhalb des Intelligence Cycle dar. Dieser soll ermöglichen, Informationsbedarfe...

Purpose - This study investigates the application of machine learning (ML) techniques in predicting firm performance, responding to the challenges posed by the large volumes of data required for accurate predictions. It aims to assess the effectiveness of various ML methods and algorithms used...

Access to electricity is the lifeblood of modern society. Electricity grids are undergoing transformative changes, driven mainly by decarbonization, decentralization and the integration of variable renewables. Transmission System Operators (TSOs) face increasing pressures from these changes, yet...

Background: In today's rapidly evolving business environment, organizational agility (OA) has become increasingly critical for companies to maintain competitiveness and sustainability. Business intelligence (BI) is pivotal in enabling organizational agility by providing the necessary tools and...

Small and medium-sized enterprises (SMEs) face unique challenges that can be effectively addressed through the adoption of data mining and business intelligence (BI) tools. This systematic literature review scrutinizes the deployment and efficacy of BI and data mining technologies across SME...

"Currently, management is strategically using IT solutions at the technological edge, through which they are making further growth. This book provides the reader with comprehensive insights for better integration into the way organizations can effectively infuse IT into business processes with...

"Jenny Dearborn and Kelly Rider believe that most business problems are actually people problems at their core. HR is not a strategic business partner and is still perceived as a "back office" function that has not evolved even though it is one of the most important to the business. In The...

"Due to the rapid emergence of the development and use of Analytics and AI in organizations, this book focuses on these aspects related to digital transformation. We are in the midst of the GenAI craze, with prompt engineering, large language models, and AI ethics playing key roles. According to...

1. Application of Data Technologies and Tools in Business and Finance SectorsDishant Banga and Alex Khang2. Data Analytics Tools and Applications for Business and Finance SystemsCherri Kallimal Aishwarya, Chava Siri Lahari, and Shaik Himam Saheb3. Big Data Tools for Business and Finance Sectors...

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...

Organisations have been increasingly adopting decision support and business intelligence (BI). However, there is still considerable academic interest in comprehending the factors that influence the decisions to embrace such technologies. Moreover, the use of BI in developing countries, like...

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...

"The edited volume "Intersection of AI and Business Intelligence in Data-Driven Decision-Making" presents a comprehensive examination of the transformative impact of Artificial Intelligence (AI) and Business Intelligence (BI) on modern enterprises. This compilation of research and insights aims...

To succeed, businesses must keep up with the ever-changing technological landscape and constantly introduce new advancements. The rise of digitalization has wholly transformed how companies interact with their customers, presenting both opportunities and challenges. Marketing professionals are...

"This book aims to present the strategies, technologies, artificial intelligence and data analytics methods used by enterprises for the data analysis and management of business and healthcare information"--

"This book publishes high quality original research contributions on the specialized theme of advances in business intelligence and associated cybersecurity challenges in diverse business and industrial settings"--

"Designed with a comprehensive and practical approach, the book's objectives align with addressing the emerging trends and challenges in customer engagement driven by marketing intelligence. It caters to a diverse audience, including marketing professionals, data analysts, business leaders,...

Self-service business intelligence and analytics (SSBIA) empowers non-IT users to create reports and analyses independently. SSBIA methods and processes are discussed in the context of an increasing number of application scenarios. However, previous research on SSBIA has made distinctions among...

Im Rahmen von Self-Service Business Intelligence (SSBI) sollen Aufgaben zur entscheidungsorientierten Informationsgewinnung aus Daten von Power Usern auf Business User übertragen werden. Damit will man die Entscheidungsgeschwindigkeit, Eigenständigkeit und Flexibilität der Business User...

Possessing an international brand in an exclusive field can play a critical role in developing exports. On the other hand, monitoring market conditions and predicting the changes caused by the physical separation and distance between the upstream and downstream markets and asymmetric information...

Purpose: This study aims to examined the impact of business intelligence (BI) and supply chain ambidexterity (SCA) on operational performance (OP), contributing to dwarf knowledge in small- and medium-sized enterprises (SMEs) in the context of emerging economies. The mediating role of SCA was...

Possessing an international brand in an exclusive field can play a critical role in developing exports. On the other hand, monitoring market conditions and predicting the changes caused by the physical separation and distance between the upstream and downstream markets and asymmetric information...

The analysis of the causes or drivers of the adoption of big data analytics and blockchain and their subsequent influence on firm performance has become a significant need as a direct result of the rapidly expanding popularity of business intelligence. The purpose of this research is to present...