This study investigates the effect of CSR activities on business performance of small- and medium-sized enterprises (SMEs) in South Korea setting. Based on upper echelons theory and stakeholder theory, the study further examines CEO tenure as a potential moderator between CSR activities and business performance. The study considers four dimensions of CSR (economic, legal, ethical, and philanthropic) and two types of business performance (financial and non-financial). To test the moderating effect of CEO tenure, we divided the sample into two groups: companies with short-term tenured CEOs and long-term tenured CEOs. The data were collected from 443 CEOs of SMEs in South Korea. We used a multi-group analysis with SmartPLS 4. The study finds that CEO tenure moderates the relationship between dimensions of CSR and business performance. More specifically, the study finds that CEOs in early-stage tenure focus on philanthropic activities to drive financial performance, while their counterparts focus on economic/legal dimension. CEOs, regardless of the length of tenure, consider the philanthropic dimension helpful for improving both financial and non-financial performance. This study expands prior research by examining the relationship between CSR and business performance in SMEs, considering the impact of the CEO tenure. The findings of this study make contributions to the literature by demonstrating that CEO tenure is an important factor in linking CSR to business performance. This research also adds evidence to the CSR literature that economic and legal dimensions are considered mandatory responsibilities, and CEOs of SMEs view them as interconnected. For practical implications, this study identifies different predictors of financial performance for companies with short-term vs. long-term CEO tenure. Short-term CEOs focus on philanthropy to improve financial performance, and both long- and short-term CEOs believe that philanthropy affects the company's financial and non-financial performance.
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http://dx.doi.org/10.3389/fpsyg.2022.1037245 | DOI Listing |
J Grad Med Educ
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is Chief Executive Officer, Intealth, Philadelphia, Pennsylvania, USA.
Thomas J. Nasca, MD, MACP, served as the President and Chief Executive Officer (CEO) of the Accreditation Council for Graduate Medical Education (ACGME) for 17 years, with his tenure ending December 2024. During this time he led and supported significant changes in accreditation and medical education.
View Article and Find Full Text PDFMedEdPORTAL
December 2024
Associate Dean for Diversity and Inclusion and Professor, Department of Psychiatry and Behavioral Sciences, University of Nevada, Reno, School of Medicine.
Heliyon
September 2024
School of Environment and Natural Resources, Renmin University of China, Beijing, China.
The impact of CEO ability on corporate behavior is dual-faceted. Based on the "rent-seeking hypothesis", this paper focuses on the "dark side" of CEO ability and suggests that CEO ability may hurt corporate behavior. Using the DEA method to measure CEO ability and selecting Chinese A-share listed companies from 2007 to 2017 as a sample, we examine the relationship, mechanisms, and boundary conditions between CEO ability and stock price crash risk.
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Geisel School of Medicine at Dartmouth College/Section of Gastroenterology and Hepatology DHMC, Hanover, New Hampshire, USA.
Environ Sci Pollut Res Int
March 2024
The Graduate School of Technology Management, Kyunghee University, Yongin, 17104, Yongin, South Korea.
In recent years, experts and academics in the environmental management field have developed an interest in the factors and evaluation techniques that influence corporate environmental investment decisions. However, there are substantial differences between studies employing the most recent evaluation methodologies and those that use indicator systems. To explore the mechanisms that influence corporate environmental investment, this study investigated the determinants of environmental investment through the perspectives of firm, board, chair, and chief executive officer (CEO) characteristics using a machine learning approach.
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