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The study aims to investigate virtual relational capital (VRC) to evaluate to what extent virtual relations (VR), obtained by using new technologies, support the development of firms, also considering the increasing sustainability’s needs. The study addresses the literature gap on VRC dynamics through an empirical analysis.

The investigation focuses on a single case study in the lighting industry, deepening the case of a small Italian company. The case is analyzed through the lens of the CAOS framework model by Paoloni, nurtured through direct semi-structured interviews with the entrepreneur and some managers and consultants, and data collected via web scraping.

VRC, obtained by the use of new technological tools, contributes to developing and fostering the innovation ecosystem in which companies need to create new skills and synergic alliances with other stakeholders. Moreover, VR can improve commercial and sales performance, stakeholder engagement and sustainability, including alignment with the circular economy and waste management principles. VRC can support smaller companies with more limited resources to connect to a broader range of actors, raising their voices with policymakers and other relevant international institutions.

The study contributes to the theoretical understanding of VRC, especially in an era in which new technologies play a fundamental role for both businesses and people. It also provides practical insights into how companies, especially smaller ones, can maximize their sustainable impact by strategically adopting virtual interactions with meaningful stakeholders like customers, key executive partners, industrial associations and policymakers.

Artificial Intelligence (AI) is a growing technology impacting several business fields. The agricultural sector is facing several challenges, which may be supported by the use of such a new advanced technology. The aim of the paper is to map the state-of-the-art of AI applications in agriculture, their advantages, barriers, implications and the ability to lead to new business models, depicting a future research agenda.

A structured literature review has been conducted, and 37 contributions have been analyzed and coded using a detailed research framework.

Findings underline the multiple uses and advantages of AI in agriculture and the potential impacts for farmers and entrepreneurs, even from a sustainability perspective. Several applications and algorithms are being developed and tested, but many barriers arise, starting from the lack of understanding by farmers and the need for global investments. A collaboration between scholars and practitioners is advocated to share best practices and lead to practical solutions and policies. The promising topic of new business models is still under-investigated and deserves more attention from scholars and practitioners.

The paper reports the state-of-the-art of AI in agriculture and its impact on the development of new business models. Several new research avenues have been identified.