Projekter pr. år
Abstract
Assessing and comprehending the social impact of firms at global and local level is a pressing concern for both researchers and policy-makers. To address this concern, our paper contributes to the stream of literature that studies the content of Corporate Social Responsibility (CSR) reports (which are also referred to as non-financial statements, sustainability reports or parts of annual reports) using text mining methods. We present a novel approach called Standard-based Impact Classification method (SBIC method), which employs natural language processing (NLP) and supervised machine learning techniques to identify the types of social impacts reflected in CSR reports. We deploy a Random Forest model which we train on reports adhering to Global Reporting Initiative (GRI) framework, enabling the identification of social impact in the majority of CSR reports that do not conform to this standard. Our proposed SBIC method serves as a valuable tool for comparing the social impacts generated by firms, industries, or countries. We showcase an application of our approach by examining the relationship between a company’s social impact and its innovation capacity. Our findings support the existing literature consensus that CSR activities generally exhibit a positive correlation with a firm’s ability to innovate. Furthermore, we reveal that specific types of social impacts have a more pronounced influence on innovation capacity.
Originalsprog | Engelsk |
---|---|
Artikelnummer | 139256 |
Tidsskrift | Journal of Cleaner Production |
Vol/bind | 429 |
ISSN | 0959-6526 |
DOI | |
Status | Udgivet - 1 dec. 2023 |
Begivenhed | Eu-SPRI forum - European Forum for Studies of Policies for Research and Innovation: Challenging Science and Innovation Policy - The Netherlands, Utrecht, Holland Varighed: 1 jun. 2022 → 3 jun. 2022 https://euspri2022.nl/ |
Konference
Konference | Eu-SPRI forum - European Forum for Studies of Policies for Research and Innovation |
---|---|
Lokation | The Netherlands |
Land/Område | Holland |
By | Utrecht |
Periode | 01/06/2022 → 03/06/2022 |
Internetadresse |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Social impacts reflected in CSR reports: Method of extraction and link to firms innovation capacity'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
-
Economic Complexity and Emerging AI Ecosystems in China, Sino-Danish Center(SDC)
01/08/2020 → 31/12/2023
Projekter: Projekt › Forskning
Aktiviteter
- 1 Organisering af eller deltagelse i konference
-
NORSI Research School Conference 2022
Ivan Nechaev (Deltager)
21 apr. 2022 → 22 apr. 2022Aktivitet: Deltagelse i faglig begivenhed › Organisering af eller deltagelse i konference