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Sustainable development involves companies on an individual, organizational and social level requiring the adoption of business models or innovations capable of privileging the co-creation of mutual value with a view to sustainability. From an organizational perspective, this paper aims to show that knowledge brokers, by making explicit their roles as mediators of interactions and acting on dynamic capabilities (DCs), can generate a proactive approach to the three dimensions of sustainability and specifically allows capabilities to positively impact the propensity toward sustainable supply chain management (SSCM) practices.

This study offers an empirical analysis of 200 companies in the agro-food sector participating in a knowledge brokerage system activated by protection consortia. It uses a multiple regression technique that allows for observing relationships between DCs and SSCM.

Absorptive, adaptive and innovative capabilities, when understood and brokered, have a positive and direct impact on the SSCM.

As there have rarely been frameworks developed that correlate knowledge brokerage, DCs and sustainability, this paper suggests that DCs, when adequately valued by the knowledge broker, allow for identifying the requirements of the various stakeholders regarding sustainability and changes in market scenarios to generate sustainability practices along the supply chain.

This study aims to offer an empirical analysis to identify the relation between the adoption of knowledge management practices and the improvement of social innovation capabilities as an outcome of the knowledge sharing. Specifically, social innovation capabilities are triggered by knowledge-sharing enablers, such as intrinsic and extrinsic socially driven motivations.

Based on a sample from 300 nonprofit organizations, the study explains causal relationships in terms of the multiplicity of triggers that act on a social innovation capability. The research applied the partial least squares structural equation modeling (PLS-SEM) method through SmartPLS 3.3 software. Data are collected from an online survey and highlight the employees’ and volunteers’ boost in nonprofit organizations to seek positive social change as a priority goal of their business model.

The results support the existence of a direct and positive relationship between knowledge-sharing enablers (i.e. intrinsic and extrinsic socially driven motivations), the mechanism of the formation of knowledge-sharing behaviors (an inside-out and outside-in process) and social innovation capabilities.

The study combines the open innovation framework with social innovation activities and investigates the role of knowledge sharing in the building of social innovation capabilities. To the best of the authors’ knowledge, the paper is the first attempt to describe a synergic framework, including open innovation literature, social innovation capability and knowledge-sharing processes.

This paper is a part of the research stream that focuses on the processes of distribution of knowledge flows along the boundaries of the organization. Thus, this study broadens the field of knowledge management and social innovation initiatives.

This study aims to explore human–machine interactions in the process of adopting artificial intelligence (AI) based on the principles of Taylorism and digital Taylorism to validate these principles in postmodern management.

The topic has been investigated by means of a case study based on the current experience of Carrozzeria Basile, a body shop born in Turin in 1970.

The Carrozzeria Basile’s approach is rooted in scientific management concepts, and its digital evolution is aimed at centring humans, investigating human–machine interactions and how to take advantage of both of these.

The research contributes to both Taylorism management and the literature on human–machine interactions. A unique case study represents a first step in comprehending the phenomenon but could also represent a limit for the study.

Practical implications refer to the scientific path to facilitate the implementation and adoption of emerging technologies in the organisational process, including employee engagement and continuous employee training.

The research focuses on human–machine interactions in the process of adopting AI in the automation process. Its novelty also relies on the comprehension of the needed path to facilitate these interactions and stimulate a collaborative and positive approach. The study fills the literature gap investigating the interactions between humans and machines beginning with their historical roots, from Taylorism to digital Taylorism, in relation to an empirical scenario.

The purpose of this paper is to gain in-depth understandings of the stages involved in the case of a romance scam victim who was unknowingly used as a drug mule. The work compares this case with established research in this field. It also seeks to learn more about the strategies used by these cybercriminals.

The research presents a case study of a victim of a romance scam who was arrested for drug trafficking. The research involves a grounded theory analysis of interviews with the victim, legal team and family members and analysis of her instant messenger chat logs and email communications.

The analysis identified a variation on previous stage models of romance scams and re-names this as the “romance scammers” strategy model. It also replicates previous work on scammers’ techniques and highlights some new strategies, including positively and negatively framing messages, unconditional positive regard, activating norms of romantic relationships, cognitive immersion, manipulating role, sleep deprivation and signing is believing.

These findings could be used to help guide future similar court cases. Moreover, they can be drawn upon to advance future research on romance scams, as well as scams in general.

This is the first in-depth case study of a romance scam victim involved in drug trafficking and is the first research on romance scams to examine in depth a case, taking into account textual exchanges. While not undermining previous research, this paper provides valuable insights that are lacking in previous qualitative work on cyber scam victims.