Governance dimensions shaping exploratory digital innovation trajectories
| Governance dimension | Industrial governance logic | Exploratory (digital) innovation logic | Filtering effect in public-sector context |
|---|---|---|---|
| Innovation entry | Innovation begins with a clearly defined problem; predefined objectives required | Innovation emerges through problem–solution co-evolution; objectives evolve through exploration | Problem-first requirements privilege predefined needs and constrain exploratory entry |
| Process structure | Linear, stage-gated progression; sequential decision points | Iterative development; experimentation and feedback loops | Stage-gating reinforces convergence and discourages iteration |
| Evaluation criteria | Success measured by deliverables, predictability and broad applicability | Success includes learning, reframing and provisional outcomes | Learning-oriented outcomes struggle to gain legitimacy |
| Outcome ontology | Innovation culminates in stable, implementable solutions (often product-oriented) | Innovation produces evolving artifacts, prototypes and adaptive processes | Provisional outputs are reframed or narrowed to fit stability expectations |
| Legitimacy orientation | Emphasis on organizational fit, risk minimization, compliance | Emphasis on experimentation, adaptation and generativity | Innovation is adjusted to fit existing systems rather than transforming them |
| Governance dimension | Industrial governance logic | Exploratory (digital) innovation logic | Filtering effect in public-sector context |
|---|---|---|---|
| Innovation entry | Innovation begins with a clearly defined problem; predefined objectives required | Innovation emerges through problem–solution co-evolution; objectives evolve through exploration | Problem-first requirements privilege predefined needs and constrain exploratory entry |
| Process structure | Linear, stage-gated progression; sequential decision points | Iterative development; experimentation and feedback loops | Stage-gating reinforces convergence and discourages iteration |
| Evaluation criteria | Success measured by deliverables, predictability and broad applicability | Success includes learning, reframing and provisional outcomes | Learning-oriented outcomes struggle to gain legitimacy |
| Outcome ontology | Innovation culminates in stable, implementable solutions (often product-oriented) | Innovation produces evolving artifacts, prototypes and adaptive processes | Provisional outputs are reframed or narrowed to fit stability expectations |
| Legitimacy orientation | Emphasis on organizational fit, risk minimization, compliance | Emphasis on experimentation, adaptation and generativity | Innovation is adjusted to fit existing systems rather than transforming them |
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