Economics at your fingertips  

Corporate social responsibility and performance measurement systems in Iran: A levers of control perspective

Kaveh Asiaei, Neale G. O'Connor, Majid Moghaddam, Nick Bontis and Jasvinder Sidhu

Corporate Social Responsibility and Environmental Management, 2023, vol. 30, issue 2, 574-588

Abstract: This study draws on Simons' levers of control model to explore how companies rely on the balanced use of diagnostic and interactive performance measurement systems (PMS) to translate corporate social responsibility (CSR) into superior performance. Data were collected based on a survey data set from 98 CFOs of public listed companies in Iran. The theoretical model was tested using partial least squares structural equation modeling (PLS‐SEM, SmartPLS 3.0), which enjoys minimum demands concerning normality assumptions and sample size. The findings show that CSR is positively associated with PMS and organizational performance. Moreover, CSR is indirectly related to organizational performance through the mediating effect of PMS. This study extends the previous literature by simultaneously incorporating resource orchestration theory in the management accounting and CSR settings. The findings provide further insights into the issue of how adopting proper management control mechanisms (e.g., balanced use of PMS) can support organizations in orchestrating the social, environmental, and economic impacts more effectively.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

More articles in Corporate Social Responsibility and Environmental Management from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().

Page updated 2023-08-05
Handle: RePEc:wly:corsem:v:30:y:2023:i:2:p:574-588