Objective: Investigate how People Management can evolve to architect collaborative ecosystems, facing the technological and ESG challenges of agribusiness, through network architecture competence and organizational ambidexterity. Theoretical Framework: The theoretical framework articulates social capital, organizational ambidexterity, hybrid ecosystems, and data governance, supporting the evolution of People Management as an architect of collaborative networks in the digital and sustainable context of agribusiness. Method: The methodology adopted is a theoretical essay based on a systematic review of recent literature, focusing on emerging constructs of People Management, organizational ambidexterity and hybrid ecosystems, aiming to propose conceptual models and research agendas for agribusiness in the digital age. Results and Discussion: The results highlight the competency of people management network architecture as an essential capability for digital agribusiness. The discussion proposes a maturity model and addresses ethical dilemmas, organizational ambidexterity, and the role of non-human actors in collaborative and hybrid ecosystems. Research Implications: The research broadens the understanding of People Management as a strategic agent in digital agribusiness, offering a new theoretical construct and maturity model. Its implications guide sustainable practices, organizational innovation, and future research on hybrid networks, algorithmic ethics, and non-human actors. Originality/Value: The article proposes a novel construct of network architecture competency in people management and offers an innovative theoretical model to address digital and ESG challenges in agribusiness, adding value to the literature by integrating social capital, ambidexterity, and hybrid ecosystems.
Donadon et al. (Wed,) studied this question.