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How to Tell When a Digital Technology Is Not Ready for You.

Jon Crowcroft1

  • 1Department of Computer Science & Technology, University of Cambridge, Cambridge, UK.

Patterns (New York, N.Y.)
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Summary

This study examines digital technology readiness using distributed ledger technology, machine learning, and the internet of things. It distinguishes genuinely new innovations from rebranded older technologies, addressing potential over-claiming in digital advancements.

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Area of Science:

  • Technology and Innovation Studies
  • Digital Transformation Research

Background:

  • Assessing the readiness stages of digital technologies is crucial for strategic adoption.
  • Contemporary examples like distributed ledger technology (DLT), machine learning (ML), and the internet of things (IoT) illustrate current technological landscapes.

Discussion:

  • This research critically evaluates DLT, ML, and IoT to discern genuine innovation from mere rebranding of existing technologies.
  • It investigates the practical utility and potential over-claiming associated with these prominent digital advancements.

Key Insights:

  • Distinguishing between truly novel technologies and rebranded older ones is essential for accurate readiness assessments.
  • Identifying genuine usefulness in emerging tech like DLT, ML, and IoT helps mitigate risks of over-investment and hype.

Outlook:

  • Future research should focus on developing robust frameworks for evaluating digital technology readiness.
  • Continued analysis of emerging technologies is needed to ensure informed decision-making and sustainable digital transformation.