Innovation unchained: Collaboration and data analytics for novel digital products and services

Research output: ThesisDoctoral ThesisInternal

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Abstract

While firms are increasingly aware of the importance of collaboration for digital innovation, internal (closed) innovation still dominates in the development of new products, services, and processes. Also firms face difficulties implementing data analytics methods, which is problematic for digital innovation, given the propensity of digital technologies to generate (big) data. This creates a need for a better understanding of the relation between collaboration, data analytics, and digital innovation. This dissertation addresses this issue by investigating how organizations can collaborate and analyze data generated by digital innovations to capture value.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Vos, Bart, Supervisor
  • Suurmond, Robert, Co-Supervisor
Award date21 Jun 2024
Place of PublicationMaastricht
Publisher
Print ISBNs9789493278769
DOIs
Publication statusPublished - 2024

Keywords

  • Supply chain collaboration
  • Digital innovation
  • (Big) data analytics
  • Smart packaging

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