TY - CHAP
T1 - Sustainability Management and Social Responsibility
AU - García-Díaz, César
PY - 2024/2/22
Y1 - 2024/2/22
N2 - This chapter highlights the importance of studying sustainability management and social responsibility issues from a systems perspective and argues that agent-based computational modelling is a suitable methodology for studying sustainability issues from an interdisciplinary, multilevel systems viewpoint. The chapter presents relevant computational-oriented works in the field of sustainability management, organized according to key research themes derived from the extant literature. The chapter also illustrates representative computational modelling works that focus on studying the adoption of corporate social responsibility practices. It argues that agent-based modelling can be used to capture not only the heterogeneous incentives of stakeholders, as more traditional methodologies have done, but also the intricate relations among such incentives that, additionally, may evolve over time. The chapter concludes by arguing that agent-based modelling can be fully leveraged if it takes into account considerations of intraorganizational dynamics, joint effects of first-order and second-order behavioural change, multilevel aggregation, systems resilience, interdependencies and temporal dynamics of stakeholders’ incentives, organizational structure, and complex forms of the firm–environment relations.
AB - This chapter highlights the importance of studying sustainability management and social responsibility issues from a systems perspective and argues that agent-based computational modelling is a suitable methodology for studying sustainability issues from an interdisciplinary, multilevel systems viewpoint. The chapter presents relevant computational-oriented works in the field of sustainability management, organized according to key research themes derived from the extant literature. The chapter also illustrates representative computational modelling works that focus on studying the adoption of corporate social responsibility practices. It argues that agent-based modelling can be used to capture not only the heterogeneous incentives of stakeholders, as more traditional methodologies have done, but also the intricate relations among such incentives that, additionally, may evolve over time. The chapter concludes by arguing that agent-based modelling can be fully leveraged if it takes into account considerations of intraorganizational dynamics, joint effects of first-order and second-order behavioural change, multilevel aggregation, systems resilience, interdependencies and temporal dynamics of stakeholders’ incentives, organizational structure, and complex forms of the firm–environment relations.
KW - agent-based modelling
KW - computational modelling
KW - interdisciplinarity
KW - multilevel systems
KW - social responsibility
KW - sustainability
KW - organizations
UR - http://dx.doi.org/10.1093/oxfordhb/9780197668122.013.13
UR - https://www.mendeley.com/catalogue/e9737165-fc19-3303-9421-dddc7c2c5b4e/
U2 - 10.1093/oxfordhb/9780197668122.013.13
DO - 10.1093/oxfordhb/9780197668122.013.13
M3 - Chapter
SN - 9780197668122
SN - 9780197668153
T3 - The Oxford Handbook of Agent-based Computational Management Science
BT - The Oxford Handbook of Agent-based Computational Management Science
A2 - Wall, Friederike
A2 - Chen, Shu-Heng
A2 - Leitner, Stephan
PB - Oxford University Press
ER -