The Next Next Common Sense
acknowledgment prove most effective. Implementation should create sys- tems capable of appropriate evolution rather than rigid frameworks that quickly become outdated. Spotify’s “squad model” demonstrates this evolutionary capacity. Their recognition practices adapt continuously based on team feedback, evolving organizational needs, and emerging understanding of effective acknowledgment. This adaptability maintains alignment between rec- ognition systems and organizational reality despite rapid change in both technology and business context.
Balance Standardization and Localization
Organizations often struggle to find appropriate balance between consistent recognition practices that reinforce shared values and localized approaches that respect contextual differences. Excessive standardization creates recognition systems disconnected from local realities, while un- limited localization can undermine organizational coherence. Microsoft navigates this tension through what they call “consistent core, flexible edge” recognition. Core recognition principles and values remain consistent across the organization, while specific implementa- tion adapts to different functions, geographies, and team contexts. This balanced approach maintains coherence while respecting legitimate con- textual differences. The Future of Digital Signposts Looking ahead, several emerging developments will likely transform organizational signposts and recognition systems in significant ways:
Ambient Recognition
As digital technologies become increasingly embedded in physical en- vironments, recognition systems will likely evolve from discrete platforms to ambient capabilities integrated into workplace infrastructure. Internet
253
Made with FlippingBook. PDF to flipbook with ease