Part I: Critical Success Factors of ERP Systems -- Part II: Business Process Models -- Part III: Implementation and Testing Aspects of ERP Systems -- Part IV: Software Usability of ERP Systems -- Part V: Business Intelligence Strategy -- Part VI: Public Sector.

chapter 1 Introduction -- chapter 2 Management and organizations -- chapter 3 Introduction to information systems -- chapter 4 Applied information technology -- chapter 5 E- commerce 1 -- chapter 6 Quantitative methods -- chapter 7 Accounting and finance -- chapter 8 Database management --...

Background: The gender disparity in the Information Technology (IT) field has persisted over the years. In 2018, only 27.2% of IT workers were women. Once hired, women face more challenges, and they are leaving the field twice as fast as men are. The misconception that women are weak in tech is...

Background: In recent years, the concepts of Green Information Technology and Green Information Systems (Green IT/IS) have attracted the attention of many researchers. Several environmental and sustainability studies have suggested that smart usage of Green IT/IS is one of the most important...

Background: In today's environment, health professionals are overwhelmed by the rapid pace of advancement in both information technology and medical practice. Objectives: This paper aims to point out the importance of developing an electronic health record system that will meet the needs of all...

Background: Advanced, integrated information systems such as an enterprise resource planning (ERP) system have nowadays come to play such a crucial role for organizations and functions such as management accounting and control that in many cases, they would not function without the support of...

Background: Information Systems Development (ISD) is responsible for designing and implementing information systems that support organizational strategy, leveraging business models and processes. Several perspectives on this activity can be found in the literature, addressing - often in an...

Grundlagen des Logistik- und Supply Chain Managements sowie der relevanten IT -- Intelligence Systeme in Transition zwischen Theorie und Praxis: ein -- Bezugsrahmen des Metamodells -- Ein lebenszyklusbezogenes Metamodell der Logistics & Supply Chain Intelligence.