L1 Flashcards
Digital Technologies
Characteristics
- Homogenization & Decoupling
- Connectivity
- Reprogrammable & Smart
- Digital Traces
- Modularity
Homogenization & Decoupling =
+ Consequences
Homogenization & Decoupling = All digital information assumes the same form, therefore it can at least in principle, be processed by the same technologies.
* consequently, digitizing has the potential to remove the tight couplings between information types and their storage, transmission, and processing technologies.
Consequences
1. Low Marginal Costs
o digitized information can be transmitted, stored and computed in fast and low cost ways
o Moore’s Law: computing power (costs, speed) improves exponentially
* Implications for innovation: disruption, winner-takes-all
- Convergent User Experience
* Implications for innovation: convergence of industries; combinatorial innovation (- map + compass on iPhone)
Connectivity =
+ Consequences
Connectivity = Connections with other users / other applications / between firm and customer
Consequences
1. (direct) network externalities: when the value of a good to a user increase with the number of other users (installed base) of the same or similar good digitized information
- Implications for innovation: disruption, winner-takes-all, ecosystems
- Interoperability: the ability of a product or system to work with other products or systems.
o Standardized and open interfaces
o interoperability drives network externalities.
- Implications for innovation: platform ecosystems, combinatorial innovation
Reprogrammable & Smart =
+ Consequences
Reprogrammable & Smart =
Digital products can be edited and reprogrammed (software updates)
By supplier (connectivity) or autonomously (machine learning)
Using sensors, processors, actuators
Consequences
1. Emerging functionalities:
o product versioning
o differentiation
o incompleteness
o backward & forward compatibility
o “evergreen design”?
* Implications for innovation continuous development, agility, cross-functional integration
- Servitization:
o Shift towards “service” (value, experience) that products offer (“job to be done”)
o Shift towards pay for use instead of pay for ownership (“pay per lux”, “power by hour”, “X as a Service”)
o Hybrids: interdependence: products require service and services require some form of product or artifact
o Hybrids: integrating products and services into complex systems
Challenging Key Assumptions of Innovation Management Theories
- How do innovations form/evolve?
Assumption: innovation is a well-bounded phenomenon focused on fixed products. - How should actors/entities organize for innovation?
Assumption: the nature of innovation agency is centralised, and therefore people can organise for innovation - How does the nature of innovation and the organization of innovation interact?
Assumption: innovation processes and outcomes are distinctly different phenomenon and therefore there is interaction between the nature and organization
How do (digital) innovations evolve?
How do (digital) innovations evolve?
- From fixed boundaries to fluidity
Digital innovation: the scope, features and value of digital offerings can continue to evolve even after the innovation has been launched or implemented. boundaries on what is or is not an innovation outcome have become more porous and fluid.
How should entities organize for (digital) innovation?
How should entities organize for (digital) innovation?
- From centralised to distributed
Digital innovation: there is a shift toward less predefined and more open innovation, and network-centric innovation.
Innovation context wherein a dynamic and often unexpected collection of actors with diverse goals and motives—often outside the control of the primary innovator—engage in the innovation process
How does the nature of innovation and the organization of innovation interact?
How does the nature of innovation and the organization of innovation interact?
- from distinction –> to interdependence of process and outcome
4 New Logics of Theorizing about Digitization of Innovation
- Dynamic problem–solution design pairing
- Socio-cognitive sensemaking:
- Affordances and constraints
- Orchestration
New Logics of Theorizing about Digitization of Innovation
socio-cognitive sensemaking =
Successful digital innovation depends on how actors come to understand, share with others, and then modify their understandings of innovation outcomes, processes, and related markets.
Critical element of digital innovation management: how do digital technologies interact with innovation agents (organizations or individuals) to foster innovative socio-cognitivesensemaking.
socio-cognitive sensemaking = that the technology is being made sense of in:
* an individual innovator’s cognition
* and the innovator’s social system of collectives of organizations and individuals.
New Logics of Theorizing about Digitization of Innovation
Technology affordances and constraints:
Affordance = is an action potential offered by digital technology
Thus, the focus is not on what features digital tools or artifacts possess, but how actors’ goals and capabilities can be related to the inherent potential offered by the features.
Innovators use set as affordances and constraints for:
1. explaining how and why the same technology can be repurposed by different actors as different innovation outcomes
- enable seperating digital innovations that emerge during the process of connecting use context and features through constant problem-solution matching.
New Logics of Theorizing about Digitization of Innovation
Orchestration =
Orchestration = can be viewed in terms of the matching of problems and needs with potential solutions.
Digital technologies also play a more indirect and supportive role in innovation orchestration
–> Uber
Methodologies that could potentially offer novel insights to the study of digital innovation:
- Computational Social Sciences.
= a set of methodologies for exploring human behavior computationally. - Configurational analysis
= Identifying problem-solution pairs and technology affordance research creates a need for methodologies that focus on matching specific conditions for specific outcomes, rather than variance explanation - Complexity Theory Methods
= Complexity theory has long suggested the central role of bottom-up emergence of self-organization, absent outside direction
Pervasive digital technology =
Pervasive digital technology =
the incorporation of digital capabilities into objects that previously only had a physical materiality.
Digital technology
Unique properties
- Reprogrammable functionality
- Data homogenization.
–> Together, they provide an environment of open and flexible affordances that are used in creating innovations characterized by convergence and generativity.