JOURNAL ARTICLE
Types of Innovation and Sustainable Development: Evidence from Medium- and Large-Sized Firms.
Published In: International Journal of Innovation & Technology Management, 2024, v. 21, n. 2. P. 1 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Agoraki, Konstantina K.; Deirmentzoglou, Georgios A.; Psychalis, Marios; Apostolopoulos, Sotiris 3 of 3
Abstract
In the last few decades, the connection between innovation and sustainable development has been brought to the surface due to the concerns of academics, scientists, and policymakers regarding environmental and social issues. Although numerous studies have discussed the significance of innovation in achieving corporate sustainable development (CSD), the relationship between these two concepts remains vague. Under this background, the aim of this study was to examine which types of innovation have a significant impact on CSD. In particular, four types of innovation were tested — incremental, radical, product, and process innovation — with the three dimensions of CSD: the social, environmental, and economic dimensions. The data collected from medium- and large-sized firms revealed that incremental, radical, and process innovation had a significant positive impact on CSD. These results have substantial theoretical and managerial implications, as they indicate what types of innovation managers should focus on in order to improve their sustainable business performance. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Innovation & Technology Management. 2024/04, Vol. 21, Issue 2, p1
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2024
- ISSN:0219-8770
- DOI:10.1142/S0219877024500135
- Accession Number:177568411
- Copyright Statement:Copyright of International Journal of Innovation & Technology Management is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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