Digital Maturity Model for SMEs: Validation Through a Mixed-Method Approach Obituary

Christopher A. Williams, Barbara Krumay, Daniel Schallmo, Eusebio Scornavacca

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

The fundamental disruptions brought on by digital transformation create substantial uncertainties for small and medium-sized enterprises (SMEs). While the limited resources and unstructured nature of SMEs present challenges for their digital transformation efforts, these challenges can be overcome with proper alignment of their current and future capabilities. However, several questions remain about the validation of digital maturity models (DMMs) for use with SMEs. Our study’s primary objective is to remedy these challenges by validating our DMM for SMEs. Our study attempts to answer the research question, “How can SMEs’ digital maturity be further explored and used to validate our DMM for SMEs?
Original languageEnglish
Title of host publicationPacific Asia Journal of the Association for Information Systems
Pages28-50
Number of pages23
Volume16
Edition1
DOIs
Publication statusPublished - Mar 2024

Publication series

NamePacific Asia Journal of the Association for Information Systems
ISSN (Print)1943-7536

Fields of science

  • 303026 Public health
  • 305909 Stress research
  • 102 Computer Sciences
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102016 IT security
  • 502007 E-commerce
  • 502014 Innovation research
  • 502030 Project management
  • 509026 Digitalisation research
  • 501016 Educational psychology
  • 602036 Neurolinguistics
  • 501030 Cognitive science
  • 502032 Quality management
  • 502043 Business consultancy
  • 502044 Business management
  • 502050 Business informatics
  • 502058 Digital transformation
  • 503008 E-learning
  • 509004 Evaluation research
  • 301407 Neurophysiology
  • 301401 Brain research

JKU Focus areas

  • Digital Transformation

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