Despite the potential of business analytics (BA) in supply chains, many firms struggle to effectively integrate and leverage BA in their supply chains, leading to underutilized data and missed opportunities for optimization. Therefore, this study utilizes an affordance perspective to study the...

This study presents an overview of data science, exploring the role of data scientists and the methods they employ to investigate analytical problems within business administration. It discusses the responsibilities of data scientists, emphasizing their multidisciplinary nature and the...

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 Though business analytics capability continues to attract considerable industrial and scholarly attention, its holistic performance implications, especially in the post-COVID-19 period, have not been fully understood. Thus, there have been calls for a full understanding of the...

In the last decade there has been a large increase in corporate and public reliance on social media for information, rather than on the traditional news and information sources such as print and broadcast media. People freely express their views, moods, activities, likes/dislikes on social media...

Increased environmental awareness has inspired the industrial community to develop sustainable business models (SBMs). Accordingly, SBM has become a trendy topic in the research community. This review analyses SBM to understand its significance, emerging trends, opportunities, challenges, and...

Cigarettes or cigarettes are an object that can cause lung cancer when inhaled and are cylinders of paper measuring between 70 and 120 mm long (varies by country) with a diameter of about 10 mm containing chopped dry tobacco leaves. Cigarettes are burned at one end and allowed to smolder so that...

Im Auftrag des Ministeriums für Wirtschaft, Infrastruktur, Tourismus und Arbeit (MV) führt die vorliegende Studie eine umfassende Bestandsanalyse des Handwerks im Bundesland Mecklenburg-Vorpommern durch und formuliert zukunftsgerichtete Handlungsempfehlungen. Die Auswertung zielt auf die...

Im Auftrag des Ministeriums für Wirtschaft, Infrastruktur, Tourismus und Arbeit (MV) führt die Studie „Struktur-, Regional- und Potenzialanalyse des Handwerks in Mecklenburg-Vorpommern – Handwerk 2030“ eine umfassende Bestandsanalyse des Handwerks im Bundesland Mecklenburg-Vorpommern...

SECTION I: PLANNING 1. Introduction to Business Analytics. 2. Data Analytics for Business. 3. Data Exploration in Business Analytics. 4. Mapping Chart for Analytics Outcome. 5. Technology Infrastructure for Business Analytics. SECTION II: PROCESSING 6. Inferential Statistics: Preparing to be a...

"Businesses typically encounter problems first and then seek out analytical methods to help in decision making. Business Analytics: Solving Business Problems with R by Arul Mishra and Himanshu Mishra offers practical, data-driven solutions for today's dynamic business environment. This text...

The authors present a detailed case study of how business analytics, prediction models, and optimization methods can be used to improve promotion planning. In it, they describe the entire process, from collecting data to computing promotion recommendations for retailers

The purpose of this study is to investigate the impact of individuals' competencies in business intelligence (BI) and analytics (BA) on process effectiveness (PE). Moreover, to investigate the mediating role of user participation (UP) and the moderating role of gender in this relationship. An...

The study aims to review the challenges of implementing big data by Malaysian small- and medium-size enterprises (SMEs)as well as to figure out the relationship between architecture, social, law and market. Currently, there is limited research and literature examining the challenges of big data...

"The primary objective of this edited book is to present a comprehensive compilation of cutting-edge research and practical applications focusing on the synergy between learning algorithms and intelligent optimization techniques for business analytics"--