Spillover Effects Across Transnational Industrial Relations Agreements:The Potential and Limits of Collective Action in Global Supply Chains

Using qualitative data from interviews with multiple respondents in 45 garment brands and retailers, as well as respondents from unions and other stakeholders, the authors analyze the emergence of the Action Collaboration Transformation (ACT) living wages initiative. They ask how the inter-firm coordination and firm–union cooperation demanded by a multi-firm transnational industrial relations agreement (TIRA) developed. Synthesizing insights from the industrial relations and private governance literatures along with recent collective action theory, they identify a new pathway for the emergence of multi-firm TIRAs based on common group understandings, positive experiences of interaction, and trust. The central finding is that existing union-inclusive governance initiatives provided a platform from which spillover effects developed, facilitating the formation of new TIRAs. The authors contribute a new mapping of labor governance approaches on the dimensions of inter-firm coordination and labor inclusiveness, foregrounding socialization dynamics as a basis for collective action and problematizing the limited scalability of this mode of institutional emergence

Fostering the reduction of assortative mixing or homophily into the class

Human societies from the outset have been associated according to race, beliefs, religion, social level, and the like. These behaviors continue even today in the classroom at primary, middle, and superior levels. However, the growth of ICT offers educational researchers new ways to explore methods of team formation that have been proven to be efficient in the field of serious games through the use of computer networks. The selection process of team members in serious games through the use of computer networks is carried out according to their performance in the area of the game without distinction of social variables. The use of serious games in education has been discussed in multiple research studies which state that its application in teaching and learning processes are changing the way of teaching. This article presents an exploratory analysis of the team formation process based on collaboration through the use of ICT tools of collective intelligence called TBT (The best team). The process and its ICT tool combine the paradigms of creativity in swarming, collective intelligence, serious games, and social computing in order to capture the participants’ emotions and evaluate contributions. Based on the results, we consider that the use of new forms of teaching and learning based on the emerging paradigms is necessary. Therefore, TBT is a tool that could become an effective way to encourage the formation of work groups by evaluating objective variable of performance of its members in collaborative works.Postprint (published version

Social capital and the decline in HIV transmission - A case study in three villages in the Kagera region of Tanzania.

We present data from an exploratory case study characterising the social capital in three case villages situated in areas of varying HIV prevalence in the Kagera region of Tanzania. Focus group discussions and key informant interviews revealed a range of experiences by community members, leaders of organisations and social groups. We found that the formation of social groups during the early 1990s was partly a result of poverty and the many deaths caused by AIDS. They built on a tradition to support those in need and provided social and economic support to members by providing loans. Their strict rules of conduct helped to create new norms, values and trust, important for HIV prevention. Members of different networks ultimately became role models for healthy protective behaviour. Formal organisations also worked together with social groups to facilitate networking and to provide avenues for exchange of information. We conclude that social capital contributed in changing HIV related risk behaviour that supported a decline of HIV infection in the high prevalence zone and maintained a low prevalence in the other zones

Affect and Group Attachments: The Role of Shared Responsibility

This paper theorizes the role of shared responsibility in the development of affective group attachments, interweaving ideas from social exchange and social identity theories. The main arguments are that (1) people engaged in task interaction experience positive or negative emotions from those interactions; (2) tasks that promote more sense of shared responsibility across members lead people to attribute their individual emotions to groups or organizations; and (3) group attributions of own emotions are the basis for stronger or weaker group attachments. The paper suggests that social categorization and structural interdependence promote group attachments by producing task interactions that have positive emotional effects on those involved

SOCIAL NETWORKS OF THE ITALIAN MAFIA; THE STRONG AND WEAK PARTS

In this paper, it is argued that well-built, social network system has enabled the Mafia to\ud reach a certain level of success through three main networks: members, local people, and\ud politicians. I assert that the role of the executive power of the state has been partially\ud supportive in this success. Moreover, this paper also concludes that to combat different\ud Mafia groups, it is essential to know their strong and weak parts. Consequently, it is found\ud that their well-built network system does not solely comprise of strong parts but that the\ud weak parts also exist, albeit, that they have not yet played a defective role in the resolution of\ud the Mafia. Therefore, this paper suggests that the illustration of both the strong and weak\ud parts of these networks can have prominent and assisting role in the combat against the\ud Mafia phenomenon in the future, either by strengthening the weak parts or by weakening the\ud strong parts of its networks

Talking Nets: A Multi-Agent Connectionist Approach to Communication and Trust between Individuals

A multi-agent connectionist model is proposed that consists of a collection of individual recurrent networks that communicate with each other, and as such is a network of networks. The individual recurrent networks simulate the process of information uptake, integration and memorization within individual agents, while the communication of beliefs and opinions between agents is propagated along connections between the individual networks. A crucial aspect in belief updating based on information from other agents is the trust in the information provided. In the model, trust is determined by the consistency with the receiving agents’ existing beliefs, and results in changes of the connections between individual networks, called trust weights. Thus activation spreading and weight change between individual networks is analogous to standard connectionist processes, although trust weights take a specific function. Specifically, they lead to a selective propagation and thus filtering out of less reliable information, and they implement Grice’s (1975) maxims of quality and quantity in communication. The unique contribution of communicative mechanisms beyond intra-personal processing of individual networks was explored in simulations of key phenomena involving persuasive communication and polarization, lexical acquisition, spreading of stereotypes and rumors, and a lack of sharing unique information in group decisions

The role of decision confidence in advice-taking and trust formation

In a world where ideas flow freely between people across multiple platforms, we often find ourselves relying on others' information without an objective standard to judge whether those opinions are accurate. The present study tests an agreement-in-confidence hypothesis of advice perception, which holds that internal metacognitive evaluations of decision confidence play an important functional role in the perception and use of social information, such as peers' advice. We propose that confidence can be used, computationally, to estimate advisors' trustworthiness and advice reliability. Specifically, these processes are hypothesized to be particularly important in situations where objective feedback is absent or difficult to acquire. Here, we use a judge-advisor system paradigm to precisely manipulate the profiles of virtual advisors whose opinions are provided to participants performing a perceptual decision making task. We find that when advisors' and participants' judgments are independent, people are able to discriminate subtle advice features, like confidence calibration, whether or not objective feedback is available. However, when observers' judgments (and judgment errors) are correlated - as is the case in many social contexts - predictable distortions can be observed between feedback and feedback-free scenarios. A simple model of advice reliability estimation, endowed with metacognitive insight, is able to explain key patterns of results observed in the human data. We use agent-based modeling to explore implications of these individual-level decision strategies for network-level patterns of trust and belief formation

Combining Savings Groups with Agricultural Marketing in Tanzania

Preliminary findings of the Catholic Relief Services (CRS) programme in Tanzania suggest that by federating Savings Groups into collective marketing structures, the capacity of their members to engage in joint marketing is enhanced. The federated market structure leverages the trust and confidence, created amongst group members through regular financial transactions, to build a more solid platform to joint marketing structures

The Social Epistemology of Consensus and Dissent

This paper reviews current debates in social epistemology about the relations ‎between ‎knowledge ‎and consensus. These relations are philosophically interesting on their ‎own, but ‎also have ‎practical consequences, as consensus takes an increasingly significant ‎role in ‎informing public ‎decision making. The paper addresses the following questions. ‎When is a ‎consensus attributable to an epistemic community? Under what conditions may ‎we ‎legitimately infer that a consensual view is knowledge-based or otherwise ‎epistemically ‎justified? Should consensus be the aim of scientific inquiry, and if so, what ‎kind of ‎consensus? How should dissent be handled? It is argued that a legitimate inference ‎that a ‎theory is correct from the fact that there is a scientific consensus on it requires taking ‎into ‎consideration both cognitive properties of the theory as well as social properties of ‎the ‎consensus. The last section of the paper reviews computational models of ‎consensus ‎formation.