Abstract
The fundamental disruptions brought on by digital transformation create great 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 the proper alignment of their current and future capabilities. However, several questions remain about the suitability of existing digital maturity models (DMMs) for SMEs. Our study remedies these challenges by developing an interaction-based DMM for SMEs. We identify interaction areas and dimensions based on SME-specific characteristics through interviews and find that interactions are among the most unique characteristics linking to SMEs’ maturity level. Our study contributes to DMM literature by providing an innovative model allowing SMEs to better understand their capabilities and offering an effective path toward digital transformation. Our model explores the network perspective of DMM, showing that stakeholders greatly influence SMEs’ core, strategy-planning, and decision-making capabilities.
| Original language | English |
|---|---|
| Title of host publication | PACIS 2022 Proceedings, 26th Pacific Asia Conference on Information Systems |
| Number of pages | 18 |
| Publication status | Published - 2022 |
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