Purpose: Prior studies on customer satisfaction research have focused on the private sector. However, few studies have looked at services of general interest. Methodology: Using a PLS-SEM methodology, we establish and adapt a theoretical model based on the well-known ECSI to the waste disposal...

Purpose: Increasing quantity and sources of data and their potential to fuel value-adding applications in Supply Chain Management (SCM) are of considerable importance for corporations. Methodology: We utilize a qualitative research design of semi-structured expert interviews. Findings: Utilizing...

Purpose: Recently, big data has received considerable industrial and academic attention. Social media(SM) are becoming reliable big data sources that include various information such as customer’s opinions, product reviews and trends. However, the supply chain management (SCM) field has been...

The absence of observable innovation data for a firm often leads us to exclude or classify these firms as non-innovators. We assess the reliability of six methods for dealing with unreported innovation using several different counterfactuals for firms without reported R&D or patents. These tests...

Business Analytics indicates the practices and competencies for exploration and introspection of business performance to make purposive, intuitive, and expedient business decisions. Business analytics involves a plethora of analysis around business data to draw information that could be used by...

"The practice of data analytics is changing and modernizing. Innovations in computation and machine learning are creating new opportunities for the data analyst: exposing previously unexplored data to scientific analysis, scaling tasks through automation, and allowing deeper and more accurate...

Das wertschöpfende Potenzial von Business Analytics und Daten im Unternehmen nutzen."Dieses Buch liefert einen strukturierten Überblick über die verschiedenen Prozessschritte von Business Analytics. Im Fokus stehen dabei weniger technisch-mathematische, sondern vielmehr anwendungsspezifische...

"This book provides comprehensive information on data analytics. It begins with a preliminary introduction and overview of the data mining process in Part I. In Part II the authors move on to discuss data exploration and dimension reduction. Part III covers performance evaluation and Part IV...

Purpose: Business analytics, a buzzword of the recent decade, has been applied by thousands of enterprises to help generate more values and enhance their business performance. However, many aspects of business analytics remain unclear. This study clarifies the definition of business analytics...

We find that acquirers create higher shareholder returns when advised by investment banks with more experience in the target industry. This finding is stronger when acquirers face more difficulties understanding and evaluating the targets. Further analyses show that these banks help acquirers...

We demonstrate some of the achievements and potential of business analytics in services. To focus our study, we review recent operations research literature on analytics in healthcare. We suggest the term comparative analytics that focuses on comparing performances of systems under different...

Chapter 1: Introduction -- Chapter 2: Data-drive Supply Chains & Intro to Python -- Chapter 3: Data Manipulation -- Chapter 4: Data Visualization -- Chapter 5: Customer Management -- Chapter 6: Supply Management -- Chapter 7: Warehouse & Inventory Management -- Chapter 8: Demand Management --...

"This book will provide a comprehensive overview of business analytics, for those who have either a technical background (quantitative methods) or a practitioner business background. Business analytics, in the context of the 4th Industrial Revolution, is the "new normal" for businesses that...

Chapter 1: Introduction -- Chapter 2: Data for Analytics in Small Businesses -- Chapter 3: Business Analytics Consulting -- Chapter 4: Business Analytics Consulting Phases -- Chapter 5: Descriptive Analytics Tools -- Chapter 6: Predicting Numeric Outcomes -- Chapter 7: Classification Techniques...

Chapter 1: The Notion of Business Analytics -- Chapter 2: The Notion of Beyond Business Analytics: Examples of Business Applications -- Chapter 3: The Concept of Beyond Business Analytics -- Chapter 4: Representations of Organizational Events -- Chapter 5: Illustrative Cases in Human History --...

Fundamental Notions and Applications of Symbiotic Recursive Pulsative Systems / Marta Franova and Yves Kodratoff -- Cognitive Computing: Quo Vadis? / Anastassia Lauterbach -- Digital Transformations Imperatives: Predictive Goal Processes for Business Model Innovation / Cyrus F. Nourani and...

The manufacturing sector is under constant pressure to increase profitability in a growingly competitive international market in which differentiation is not tied to manufactured products or utilized technologies but to business processes optimization. In this context, business analytics offer...