Abstract
This study analyzes the importance role of blockchain technology to explain the corporate social responsibility performance and additionally the moderating impact of firm life cycle stages on that association. This research based on a sample of 297 European companies listed in the STOXX Europe 600 during 2014–2018 periods; our feasible generalized least squares (FGLS) results show that implemented blockchain technology significantly and positively affects the corporate social responsibility performance enterprises. In addition, this association is in mature life cycle stages. Our results are robust to alternative proxy measures of corporate social responsibility performance and life cycle stages. Our findings extend the literature on the use of BT and the economic consequences engaging in certain types of CSR activity. This study offers a new and integrated theoretical framework to examine the interplay role of BT to explain CSR performance.
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Appendix. Variable Definitions and Measurement
Appendix. Variable Definitions and Measurement
Variables | Definition and measurement |
---|---|
Dependent variable | |
CSR | The annual corporate social responsibility performance. We use the database Datastream to compute CSR performance (derive from Thomson Reuters business-ASSET 4) |
HR | Human rights: The society/human rights category measures a company’s management commitment and effectiveness toward respecting the fundamental human rights conventions. It reflects a company’s capacity to maintain its license to operate by guaranteeing the freedom of association and excluding child, forced, or compulsory labor |
EQ | Employment quality: The employment quality category measures a company’s management commitment and effectiveness toward providing high-quality employment benefits and job conditions. It reflects a company’s capacity to increase its workforce loyalty and productivity by distributing rewarding and fair employment benefits, and by focusing on long-term employment growth and stability by promoting from within, avoiding lay-offs, and maintaining relations with trade unions |
CO | Community: The society/community category measures a company’s management commitment and effectiveness toward maintaining the company’s reputation within the general community (local, national, and global). It reflects a company’s capacity to maintain its license to operate by being a good citizen (donations of cash, goods, or staff time), protecting public health (avoidance of industrial accidents), and respecting business ethics (avoiding bribery and corruption) |
DIV | Diversity: The diversity category measures a company’s management commitment and effectiveness toward maintaining diversity and equal opportunities in its workforce. It reflects a company’s capacity to increase its workforce loyalty and productivity by promoting an effective life-work balance, a family-friendly environment, and equal opportunities regardless of gender, age, ethnicity, religion, or sexual orientation |
CP | Customer practices: The customer/product responsibility category measures a company’s management commitment and effectiveness toward creating value-added products and services upholding the customer’s security. It reflects a company’s capacity to maintain its license to operate by producing quality goods and services integrating the customer’s health and safety and preserving its integrity and privacy also through accurate product information and labeling |
HS | Health and safety: The workforce/health and safety category measures a company’s management commitment and effectiveness toward providing a healthy and safe workplace. It reflects a company’s capacity to increase its workforce loyalty and productivity by integrating into its day-to-day operations a concern for the physical and mental health, well-being, and stress level of all employees |
EN | Environment: The environmental pillar measures a company’s impact on living and non-living natural systems, including the air, land, and water, as well as complete ecosystems. It reflects how well a company uses best management practices to avoid environmental risks and capitalize on environmental opportunities in order to generate long-term shareholder value |
TD | Training & Develop: The workforce/training and development category measures a company’s management commitment and effectiveness toward providing training and development (education) for its workforce. It reflects a company’s capacity to increase its intellectual capital, workforce loyalty, and productivity by developing the workforce’s skills, competences, employability, and careers in an entrepreneurial environment |
Independent variables | |
BT | Blockchain technology: BTit is a 0–1 categorical variable; the first 2 years, the previous year, the current year, and the following year of the implementation of the BT are the years related to the implementation, where the BTit value is 1 and the BTit value of the other years is 0 year is different |
Asset | Assets represents enterprise’s total asset size |
Sales | Sales represents enterprise’s sales revenue scale |
Staff | Staff represents enterprise’s employee size |
R&D | Research and development (R&D) intensity, R&D = R&D expenditure divided by total growth, maturity, and decline which are corporate life-cycle stage dummy values equal to 1 if a firm belongs to the growth, maturity, or decline stage, respectively |
Life cycle | Life cycle = DeAngelo et al. (2006)’s life cycle model measured as retained earnings scaled over total assets (RE/TA) or retained earnings scaled over total equity (RE/TE) |
GR, MA, and DE | Growth, maturity, and decline are corporate life-cycle stage dummy values equal to 1 if a firm belongs to the growth, maturity, or decline stage, respectively |
Leverage | Leverage (LEV), measured as short-term and long-term debt divided by total assets, controls for the level of a firm’s indebtedness |
Year | Year dummy variable to control for year effects |
IND | Industry sector (IND) dummy variables defined by the two-digit Global Industry Classification Standard (GICS) codes to control for industry effects |
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Ezzi, F., Jarboui, A. & Mouakhar, K. Exploring the Relationship Between Blockchain Technology and Corporate Social Responsibility Performance: Empirical Evidence from European Firms. J Knowl Econ 14, 1227–1248 (2023). https://doi.org/10.1007/s13132-022-00946-7
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DOI: https://doi.org/10.1007/s13132-022-00946-7