organisational models Flashcards
tech influencing organisations
org is where tech is developed
change of value proposition and how they deliver it
transferring data changes how org are organised
org have to adapt
new org can disrupt existing industries
enable new models
Products v. Platforms
intermediates that facilitate trasactions and govern interactions
demand heterogenity- demand for more things on a platform
dark side- sell all the data they gather from us
ecosystem
= set of components and complements that collectively deliver a value proposition to users
firms v. ecosystems
traditionally: value chain, supplier, bilateral alliances
ecosystems: collective value, larger set of interdependencies
- dividing forces: firms need to access capabilities outside itself, new ways to perform core activities
value creation logic firms, platforms and ecosystems
firms- input-output relationships- value-chain logic
platforms- mediates among diff parties and types of users- direct and indirect subject effects
ecosystems- multilateral dependencies, strong complementaries, cannot be reduced to bilateral rel, change in one component affects the others
interdependency between software and hardware- possible BCS of new digital interdependencies
need for adaptation- interoperability
interoperability
interoperability- a system must;
- be able to exchange useful info with the rest of the system so all of them can interpret it
- be able to use that info
types of interoperability
technical- systems and services(interfaces, connections)
syntactic- exchange documents
semantic- info exchanged so is interpreted and reused automatically
organisational- entities and their processes collaboration
interoperability core points
- how different components work or do not work together (data is under the hood)
- data gov is needed- important issue for org and society
data governance
=defines roles and assigns responsibilities for decision areas to these roles. Establishes org-wide guidelines and standards, it assures compliance with corporate strategy and laws governing data
involved in how org operate together in ecosystems and platforms, and whether things go awry in that process or consequences for society
mechanisms of data governance
structural- the design of org elements that establish decision rights and accountability
procedural- ensure compliance with governance principles
relational- ensure that data gov principles are understood and enforced by actors
technofeudalism
= we are ‘cloud-serfs’- unpaid producers of data to benefit our digital overlords
our preferences are not only our own, feedback loop takes away our agency
not only give us advice but try to change our behaviour
more value, but also bad, be careful with infrastructure, need regulations