Inhalt
              
                
                  
                    [ 986CABUCB4K19 ]                                         KS                                         CB4: Understanding the digital economy
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                | Es ist eine neuere Version 2025W dieser LV im Curriculum Master's programme Leadership and Innovation in Organizations 2025W vorhanden. |                  
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                      | Workload | 
                                            Education level | 
                      Study areas | 
                                            Responsible person | 
                                                                  Hours per week | 
                                            Coordinating university | 
                     
                    
                      | 3 ECTS | 
                                            
                      M1 - Master's programme 1. year | 
                      Business Administration | 
                                                                  
                          Elke Schüßler                       | 
                                               
                                            2 hpw | 
                                            Johannes Kepler University Linz | 
                     
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                      | Detailed information | 
                     
                                        
                      | Pre-requisites | 
                      KS BC1: Induction-team development UND KS BC2: Foundations of management UND KS BC3: Foundational readings and academic writing 
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                      | Original study plan | 
                      Master's programme Leading Innovative Organizations 2020W | 
                     
                      
                    
                      | Objectives | 
                      Students are familiar with the principles underlying the platform economy. They understand the economic and societal relevance of crowd/platform-based organizing with a particular emphasis on the dynamic interplay between 
- for-profit and not-for profit host organizations that strategically engage in platform management and crowd-based organizing
 - platform architectures as digital infrastructure that draws on technologies for ubiquitous connectedness, archiving & profiling, automated content generation, real-time detection of deviation from rules/pattern (i.e. algorithmic governance), authentication/verification of documents (e.g. distributed ledger) and generative manufacturing.
 - crowds as exceedingly large, more or less heterogeneous social bodies that possess varying degrees of actorhood, and 
 - socio-economic environments encompassing users/customers, suppliers, competitors, media and political/regulatory bodies
 
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                      | Subject | 
                      - Explaining platforms: The merits and limits of markets, bureaucracies and communities as explanatory principles for platforms and crowds
 - Fundamental organization theory required for explaining platforms (see above)
 - Strategies for managing platforms
 - Societal antecedents and effects of crowd-based organizing (e.g. digital labor and click work, surveillance capitalism etc.)
 
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                      | Criteria for evaluation | 
                      Pre-readings (10%), homework (40%), exam(s) (40%), class participation (10%)
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                      | Methods | 
                      Lecture, discussion
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                      | Language | 
                      English | 
                     
                      
                    
                      | Study material | 
                      A set of academic articles from A and A+ journals reflecting current developments in platform/crowd research
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                      | Changing subject? | 
                      No | 
                     
                      
                    
                     
                    
                    
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                      | On-site course | 
                     
                         
                    
                        | Maximum number of participants | 
                      40 | 
                          
                    
                      | Assignment procedure | 
                      Direct assignment | 
                     
                    
                     
                    
                    
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