BIR-WS 2017
Pre-BIR Forum, BIR Workshops and Doctoral Consortium 2017

Table of Contents

• Preface/Organisation
  
  

Pre-BIR Forum Papers

• Can Working Style be Identified?
  Marcello Sarini
• Normalization of Processes - Toward an Integrated View of Business Process System
  Vaclav Repa
• Task Characteristics that Fit Use of Business Intelligence
  Rikke Gaardboe, Tanja Svarre, Tom Nyvang
• The Smart Production Laboratory: A Learning Factory for Industry 4.0 Concepts
  Marco Nardello, Ole Madsen, Charles Moller
• Closing the IT Development-Operations Gap: The DevOps Knowledge Sharing Framework
  Pia Arentoft Nielsen, Till J. Winkler, Jacob Norbjerg
• A Repository for Pattern Governance Supporting Capability Driven Development
  Janis Kampars, Janis Stirna
• A Framework for Effort Estimation in BPMS Migration
  Christopher Drews, Birger Lantow
• Automated Process Model Annotation Support: Building Blocks and Parameters
  Michael Fellmann, Felix Oehmgen
• Ontology Based PEP Identification
  Andrejs Gaidukovs, Pavels Grjozs, Girts Kebers
• Identifying Contributions for the Evaluation of Cloud Services in State Entities
  John Jairo Ruiz, Oscar Avila
• Agile Software Engineering Practices and ERP: Is a Sprint too Fast for ERP Implementation
  Adnan Kraljic, Tarik Kraljic
• Preference to Use Aggregators Rather than Individual Deal Sites: Impact of Big Five Inventory Personality Traits
  Frantisek Sudzina, Antonin Pavlicek

Managed Complexity

• The Industry 4.0 Journey: Start the Learning Journey with the Reference Architecture Model Industry 4.0
  Marco Nardello, Charles Moller, John Gotze
• Simplifying the DevOps Adoption Process
  Ineta Bucena, Marite Kirikova
• Timber Tracking - Reducing Complexity of Due Diligence by using Blockchain Technology (Position Paper)
  Boris Dudder, Omri Ross
• Managing Complexity in Process Digitalisation with Dynamic Condition Response Graphs
  Thomas Hildebrandt, Soren Debois, Tijs Slaats, Morten Marquard

BIR Doctoral Consortium

• Which Factors are Significant for Obtaining Business Intelligence Success in the Public Sector?
  Rikke Gaardboe