Trainers Training Trainers: The Factors of Cooperative Learning in Times of Digital Transformation
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| Title: | Trainers Training Trainers: The Factors of Cooperative Learning in Times of Digital Transformation |
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| Language: | English |
| Authors: | Barbara Ofstad, Anne Bartel-Radic, Alain Cucchi |
| Source: | Journal of Workplace Learning. 2026 38(2):162-179. |
| Availability: | Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight |
| Peer Reviewed: | Y |
| Page Count: | 18 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Cooperative Learning, Corporate Education, Training, Workplace Learning, Technological Advancement, Industry, On the Job Training, Corporations, Foreign Countries |
| Geographic Terms: | Germany |
| DOI: | 10.1108/JWL-08-2025-0280 |
| ISSN: | 1366-5626 1758-7859 |
| Abstract: | Purpose: The rapid pace of digital transformation demands continuous learning from workers, especially in high-tech industries. Corporate trainers face unique challenges, as the knowledge they deliver evolves rapidly and is deeply tied to organizational contexts. Cooperative learning offers a promising response, yet its enabling conditions are insufficiently explored. This paper aims to examine the factors that enhance cooperative learning among corporate trainers in a high-tech industry workplace setting. Design/methodology/approach: A case study with sequential mixed-methods design analyzed data from 21 semi-structured interviews and a survey of 175 members of a German multinational's corporate training division. Partial least squares structural equation modeling was used for data analysis. Findings: Both individual and social factors significantly influence cooperative learning. Individual factors such as motivation, passion and problem-solving orientation indirectly support cooperative learning. Social factors, including people-orientation, open learning environments, relational abilities, trainers' boundary spanning capacities and a collaborative organizational culture play a direct role. Research limitations/implications: The single-case study's inherent limitations regarding validity and generalizability are set off by robust out-of-case predictions using PLSPredict, strengthening the model. Originality/value: As a single-case study within a German high-tech multinational, this research offers valuable insights into otherwise inaccessible field data and organizational advice as to cooperative learning interventions. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1506676 |
| Database: | ERIC |
| Abstract: | Purpose: The rapid pace of digital transformation demands continuous learning from workers, especially in high-tech industries. Corporate trainers face unique challenges, as the knowledge they deliver evolves rapidly and is deeply tied to organizational contexts. Cooperative learning offers a promising response, yet its enabling conditions are insufficiently explored. This paper aims to examine the factors that enhance cooperative learning among corporate trainers in a high-tech industry workplace setting. Design/methodology/approach: A case study with sequential mixed-methods design analyzed data from 21 semi-structured interviews and a survey of 175 members of a German multinational's corporate training division. Partial least squares structural equation modeling was used for data analysis. Findings: Both individual and social factors significantly influence cooperative learning. Individual factors such as motivation, passion and problem-solving orientation indirectly support cooperative learning. Social factors, including people-orientation, open learning environments, relational abilities, trainers' boundary spanning capacities and a collaborative organizational culture play a direct role. Research limitations/implications: The single-case study's inherent limitations regarding validity and generalizability are set off by robust out-of-case predictions using PLSPredict, strengthening the model. Originality/value: As a single-case study within a German high-tech multinational, this research offers valuable insights into otherwise inaccessible field data and organizational advice as to cooperative learning interventions. |
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| ISSN: | 1366-5626 1758-7859 |
| DOI: | 10.1108/JWL-08-2025-0280 |