Organizational Learning Practices to Develop Digitalization Capabilities in Circular Economy SMEs

The transition to the circular economy (CE) is widely driven by digitalization and data-driven innovation. However, whereas large companies typically have sufficient capabilities to fully exploit digitalization and data in their business and operations, small and medium-sized enterprises (SMEs) face challenges with the full utilization of digital technologies, coping with ever-increasing amounts of data and finding appropriate analysis methods. Therefore, SMEs operating in the CE sector have a clear need to develop their capabilities in implementing digital technologies to support CE business. This paper investigates how these companies can improve their dynamic capabilities in an inter-organizational learning process, where SMEs can transfer knowledge, make sense of it, and integrate it into their processes in joint action with other SMEs. The paper introduces a comparative multiple case study of six CE SMEs, all located in Finland, which have developed their dynamic capabilities by participating in collaborative learning activities with other SMEs facilitated by a university. The results reveal various learning practices for knowledge-sharing, joint sensemaking and knowledge implementation to support the development of dynamic capabilities for the digitalization of SMEs. The study also shows that inter-organizational learning not only helps the CE SMEs to improve their limited capabilities toward digitalization and data utilization, but also helps them to develop their own organizational culture in a direction that is more open to learning and absorbing new knowledge from outside the firm’s boundaries

Authors

Institutions

Publication Details

Journal
Circular Economy
Published
2025-02-28
DOI
https://doi.org/10.55845/ulpa5543
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Organizational Learning Practices to Develop Digitalization Capabilities in Circular Economy SMEs

Jari Jussila, Leena Kunttu, Anne-Mari Järvenpää, Iivari Kunttu
1 citations
Circular Economy
Digital Transformation in Industry
1.24
article

Organizational Learning Practices to Develop Digitalization Capabilities in Circular Economy SMEs

Jari Jussila, Leena Kunttu, Anne-Mari Järvenpää, Iivari Kunttu
article en
1 citations

Abstract

The transition to the circular economy (CE) is widely driven by digitalization and data-driven innovation. However, whereas large companies typically have sufficient capabilities to fully exploit digitalization and data in their business and operations, small and medium-sized enterprises (SMEs) face challenges with the full utilization of digital technologies, coping with ever-increasing amounts of data and finding appropriate analysis methods. Therefore, SMEs operating in the CE sector have a clear need to develop their capabilities in implementing digital technologies to support CE business. This paper investigates how these companies can improve their dynamic capabilities in an inter-organizational learning process, where SMEs can transfer knowledge, make sense of it, and integrate it into their processes in joint action with other SMEs. The paper introduces a comparative multiple case study of six CE SMEs, all located in Finland, which have developed their dynamic capabilities by participating in collaborative learning activities with other SMEs facilitated by a university. The results reveal various learning practices for knowledge-sharing, joint sensemaking and knowledge implementation to support the development of dynamic capabilities for the digitalization of SMEs. The study also shows that inter-organizational learning not only helps the CE SMEs to improve their limited capabilities toward digitalization and data utilization, but also helps them to develop their own organizational culture in a direction that is more open to learning and absorbing new knowledge from outside the firm’s boundaries

Circular EconomyVol. 3(1)
Finnish Environment Institute (FI), Häme University of Applied Sciences (FI)
Openalex Percentile: Top 22%
Digital Transformation in Industry
1.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.