Multidimensional Views on Enterprise Information Systems (eBook)

Proceedings of ERP Future 2014

Felix Piazolo, Michael Felderer (Herausgeber)

eBook Download: PDF

2016 | 1st ed. 2016
X, 183 Seiten
Springer International Publishing (Verlag)
978-3-319-27043-2 (ISBN)

Infos

This volume presents the revised and peer reviewed contributions of the 'EPR Future 2014' conference held in Dornbirn/Austria on November 17-18th, 2014. 

The book assembles latest research and recent practice on enterprise information systems in general and specifically on core topics like business process management (BPM), business intelligence (BI) and enterprise resource planning (ERP) systems. To master the challenges of enterprise information systems comprehensively, this book contains chapters with a business as well as an IT focus to consider enterprise information systems from various viewpoints.

Felix Piazolo is associate professor (Chair in Business Administration) at the Andrássy University Budapest, Hungary, postdoc researcher at the Department of Strategic Management, Marketing and Tourism at the University of Innsbruck, Austria, and lecturer at diverse universities in the areas of strategic management, enterprise information systems and innovation processes (including AAL projects). He has studied at the University of Innsbruck, the University of St. Gallen and the University of Granada and holds a Ph.D. in business economics. Being responsible for several national and international research projects in these fields he additionally provides business consulting services for companies.

Michael Felderer is research associate and project manager at the Institute of Computer Science at the University of Innsbruck, Austria. He holds a Ph.D. in computer science. His research interests include software testing, software quality in general, risk management, empirical software engineering, software processes, requirements engineering, industry-academia collaboration and ERP systems. Besides his research activities, he transfers research results into practice as a consultant and speaker on industrial conferences

Inhalt

Program Committee 6
Contents 7
Contributors 9
1 ERP Future 2014 11
Abstract 11
References 13
Part I Critical Success Factors of ERP Systems 15
2 Critical Success Factors for ERP Projects in Small and Medium-Sized Enterprises---The Perspective of Selected ERP System Vendors 16
Abstract 16
1 Introduction 16
2 Critical Success Factors Identified 18
3 Literature Review of Critical Success Factors 20
4 Critical Success Factors for SMEs' ERP Projects 23
4.1 Study Design---Data Collection Methodology 23
4.2 Results of the Interviews 24
5 Conclusion and Limitations 28
Appendix 29
References 30
3 Are New Configuration Methods `the Key' to Shorter ERP Implementations? 32
Abstract 32
1 Introduction 32
1.1 Does a Modern Configuration Reduce the Implementation Time of ERP? 33
1.2 Methodology 33
2 ERP Implementations in Small and Medium-Sized Enterprises 34
2.1 History of Customizing and Implementation 34
2.2 Business-Oriented ERP Configuration 35
3 Business Cases Overview 41
3.1 Photaic AG 41
Reasons for ERP 41
The Implementation Project at Photaic AG 42
Key Learnings from the Implementation Project 43
3.2 Medpro HandelsGmbH 43
Reasons for ERP 44
The Implementation Project at Medpro 44
Key Learnings from the Implementation Project 45
3.3 Especcino GmbH 45
Reasons for ERP 46
The Implementation Project at Especcino 46
4 Conclusion 47
References 49
4 ERP-Adoption Within SME---Challenging the Existing Body of Knowledge with a Recent Case 50
Abstract 50
1 Introduction 51
2 Research Method and Paper Flow 51
3 On the History of IT Success 52
4 Success Framing Conditions of ERP Adoption 52
4.1 Critical Success Factors 53
4.2 Risk 54
4.3 Planning Methodology 55
5 Case Study 56
5.1 Outset of the Project 56
5.2 Major Pain Points 57
5.3 System Alternatives 58
5.4 Project Conditions 58
5.5 Requirements Gathering 59
5.6 Implementation 60
6 Interpretation of Case Findings and Outlook 60
References 62
5 Challenge Detailed Planning in ERP 64
Abstract 64
1 Introduction 64
2 Production Planning 65
3 Problems at Operations Scheduling 67
3.1 The Meaning of ``Real'' Target Times 68
Schedule Times Mostly Too Short 71
Schedule Times Mostly Too Long 71
3.2 The Importance of Complete Processes 71
3.3 The Importance of Proper Capacitance Values 73
4 Interim Conclusion 74
5 What Can Solutions for More Effective Planning Data Be? 75
5.1 Technical Solutions 75
5.2 Socio-Technical Solutions 75
Learning Control ERP-Systems 76
Overcome Limitations of a Self-learning System 76
6 Summary 76
Part II Business Process Models 78
6 Potential Benefits of Using Social Software in ERP-Based Business Process Management 79
Abstract 79
1 Introduction 79
2 Business Process Management in the ERP-Life Cycle 80
2.1 ERP-Life Cycle Phases 80
2.2 Typical BPM Activities in the Phases 81
3 Using Social Software in Business Process Management 83
3.1 Social Production 84
3.2 Collective Decisions 85
3.3 Weak Ties 85
3.4 Value Co-creation 86
4 Related Work 86
5 Applying Social Software to ERP Life Cycle Phases 86
5.1 Project Chartering 87
5.2 Project Configuration and Rollout 87
5.3 Shakedown 87
5.4 Onward and Upward 88
5.5 Transformation 88
5.6 Link to Mechanisms of Social Software 89
6 Limitations 89
7 Topics for Future Research 89
8 Conclusion 90
References 90
7 Creating Event Logs from Heterogeneous, Unstructured Business Data 92
Abstract 92
1 Introduction 93
2 User Story 94
3 Related Work 94
4 Why not Use ETL? 95
5 Process Explorer 96
5.1 Searching in Unstructured Documents 97
6 Connection to Process Discovery 98
7 Conclusion and Outlook 99
References 99
8 Knowledge-intensive Business Processes---A Case Study for Disease Management in Farming 101
Abstract 101
1 Introduction 102
2 Related Work 102
2.1 Business Process Management 103
2.2 Knowledge Management and Knowledge Processing 103
2.3 Knowledge Work and Knowledge in Work 105
2.4 Knowledge-intensive Business Processes 105
3 Use Case in Farming 106
3.1 Overview of the Disease Management Scenario 106
3.2 Process Model for Plant Protection 108
3.3 Further Considerations 110
4 Case Study 111
4.1 Characteristics of KIBPs 111
4.2 Discussion of the Characteristics with Our Use Case 112
5 Conclusion 114
Acknowledgments 115
References 115
Part III Implementation and Testing Aspects of ERP Systems 117
9 Is SAP HANA Useful for Optimization? An Exploration of LP Implementation Alternatives 118
Abstract 118
1 Introduction 118
2 Motivation 119
3 Languages and Implementations 121
3.1 Implementations Based on HANA 121
3.2 Implementations Outside HANA 122
4 Test Cases and Test Environment 122
5 Test Results 123
5.1 Implementations Inside HANA 123
5.2 Implementations Outside HANA 124
6 Conclusions and Outlook 125
References 126
10 Fact-Based Declarative Business Rule Modeling for the Static and Dynamic Perspectives in ERP Applications 127
Abstract 127
1 Introduction 127
2 The Information and Process Perspectives in Fact-Based Modeling 128
2.1 The Insurance Application Subject Area 128
3 The Event-Condition-Action (ECA) Modeling Constructs in Fact-Based Modeling 130
3.1 The Impulse Mapper 133
4 Conclusion 134
References 135
11 Towards a Concept for Enterprise Systems Landscape Testing 136
Abstract 136
1 Introduction 136
2 Enterprise Systems Engineering 137
3 ERP Testing 138
4 Testing in ERP Projects 139
4.1 End User Specific ERP-System Modifications 139
4.2 Test Types 142
4.3 Test Management 142
4.4 Test Tools 143
4.5 Test Reports 144
5 Enterprise Systems Landscape Testing 144
6 Conclusion 148
Acknowledgments 149
References 149
Part IV Software Usability of ERP Systems 150
12 Measuring ERP Usability from the Users' Perspective 151
Abstract 151
1 Introduction 152
1.1 The Term ``Software Usability'' 152
1.2 Benefits of Usability 152
2 Usability Testing 153
2.1 Software Usability Measurement Inventory (SUMI) 154
2.2 System Usability Scale (SUS) 154
2.3 ErgoNorm 155
2.4 IsoMetrics 155
2.5 Usability Testing of ERP Systems 155
3 Investigation 156
4 Results 157
5 Conclusion 160
References 161
Part V Business Intelligence Strategy 163
13 Impacts of SAP HANA on Business Intelligence (BI) Strategy Formulation 164
Abstract 164
1 Introduction and Background 164
2 Business Intelligence 165
3 In-Memory Computing Powered by SAP HANA (High Performance Analytic Appliance) 166
3.1 In-Memory Computing 166
3.2 SAP HANA 167
4 Case Study 167
4.1 Setup of a BI Project with SAP HANA (RQ1) 168
4.2 Acceptance Rate in Implementation Process (RQ2) 169
4.3 Modelling of BI Projects (RQ3) 169
4.4 Architecture of BI Project (RQ4) 170
5 Conclusion 171
References 171
Part VI Public Sector 173
14 Sequence of Contracts as a Means of Planning in ERP-Systems 174
Abstract 174
1 Introduction 174
2 Planning in Local Authorities---An Environment of Legal Restrictions 175
3 Contract Based Planning as a Means of Transparency 177
4 Implementing Contract Based Planning into ERP-Systems 179
5 Conclusion and Requirements 181
References 181

Produkt-Details

• Erscheint lt. Verlag: 23.1.2016
• Reihe/Serie: Lecture Notes in Information Systems and Organisation
• Reihe/Serie: Lecture Notes in Information Systems and Organisation
• Zusatzinfo: X, 183 p. 57 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Software Entwicklung
• Themenwelt: Mathematik / Informatik ► Informatik ► Web / Internet
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
• Schlagworte: Business Intelligence • business process management • Enterprise Resource Planning • Information Systems Innovation • Software Quality
• ISBN-10: 3-319-27043-5 / 3319270435
• ISBN-13: 978-3-319-27043-2 / 9783319270432