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We extend the literature on network perception by introducing a novel view of how this perception is structured. We propose the concept of Cognitive Aggregated Social Structures (CASS) as a framework to capture perceptions of opaque networks – that is, networks where relations are difficult to observe due to their features, their members, and the characteristics of the environment in which they operate. We argue that actors simplify their perception of opaque network structures via “chunking,” that is, by cognitively representing network ties as between categories of actors rather than between specific network members. We test the validity of the CASS construct and its predictive power by showing how these representations affect actors’ perceptions of relevant network outcomes. Using data from a major inter-organizational technology consortium, we show that perceived density among “chunks” in the knowledge transfer network is positively related to perceived consortium performance. Finally, we discuss the implications of our findings for the strategic management literature, highlighting potential contributions to strategic formulation and implementation, category emergence, industry evolution, and cognitive barriers to entry.

This study explores how introducing a permissioned blockchain in a supply chain context impacts accountability relationships and the process of rendering an account. The authors explore how implementing a digital transformation impacts the governance of network transactions.

The authors mobilize 28 interviews and documentary analysis. The authors focus on early blockchain adopters to get an insight into how implementing a permissioned blockchain can transform information sharing, coordination and collaboration between business partners, now converted into network participants.

The authors suggest that implementing a permissioned blockchain impacts accountability across three levers, namely through the ledger, through the code and through the people, where these levers are interconnected. Blockchains are often valued for their ability to enable transparency through the visibility of transactions, but the authors argue that this is an incomplete view. Rather, transparency alone does not help to satisfy a duty of accountability, as it can result in selective disclosure or obfuscation.

The authors extend the conceptualizations of accountability in the blockchain literature by focusing on how accountability relationships are enacted, and accounts are rendered in a permissioned blockchain context. Additionally, the authors complement existing work on accountability and governance by suggesting an integrated model across three dimensions: ledger, code and people.

Construction projects' duration can be modelled using traditional and artificial intelligence methods. The first part of these two papers provides an insight into the principles of modelling project durations using neurofuzzy methods. This paper presents an understanding of how these methods operate and discusses the main issues concerning their use and application in construction management. An introduction to the problems of modelling and predicting construction projects' duration is first presented. This is followed by explaining the neurofuzzy life cycle modelling process and discussing methods for modelling projects' duration. A graphical presentation of the way in which neurofuzzy methods operate is also presented and discussed.

This paper aims to explore corrupt exchange as a type of socioeconomic interaction in private–public relationships and its effects on material flow in connected private-private relationships.

The paper is based on a case study of a private–public network of an import firm in Russia. It focusses on corrupt exchange in routine interactions between the firm’s managers and officials in three regulatory authorities.

The study reveals how different types of corrupt exchange between firm managers, officials and intermediaries serve as a problem-solving tool that facilitates material flow through bureaucratic gates.

The paper contributes to the industrial marketing and purchasing research by showing how the social capital concept is useful for explicating mechanisms of socioeconomic interaction in business networks and how the interaction context conditions actors’ roles and interdependencies.

The paper raises practitioners’ awareness of corrupt exchange in business networks and enables them to anticipate and manage upcoming challenges in bureaucratic procedures.

The study shows how networks’ non-transparent and manipulative tendencies may provide favourable conditions for corruption in the business landscape.

The study provides a unique empirical insight into the socioeconomic mechanisms of corrupt exchange in business networks. It contributes theoretically by conceptualising corrupt officials as taking on the role of quasi-business actors in the personal possession of administrative authority as a resource and by using a novel conceptualisation of social capital to study private–public interaction in business networks.

Summarises and discusses findings of roundtable discussions on the opinions of the citizens of two Belgian (Flemish) cities about the policing and security policy in their cities. Citizens question the organisational and cultural readiness of their local police forces for the full‐scale development of community policing. In practice, problem‐oriented policing tends to dominate, whereby it is the police who define the problems to be tackled. Despite decentralisation of policy and participation procedures, the public complains about the lack of citizen democracy in government. Problems of transparency and participation are related to the plethora of projects and initiatives which have been launched by different authorities at different policy levels. Finally, the consensual vision of community policing is discussed since geographically decentralised policing and the encouragement of community involvement will logically confront the police with ever diverging socio‐economic and cultural interests in the neighbourhood.

The purpose of this article is to critically consider the role of partnerships in regeneration. There has been a proliferation of partnerships at local, sub‐regional and regional levels, that has brought new people together around a shared agenda, and has sought to challenge and change the ways in which mainstream public services are delivered.

This article uses a qualitative approach drawing on previous research work and using narrative to construct a series of metaphors to provide greater levels of explanation and understanding of partnerships.

The current approach to partnership working arises principally from analysis of the weaknesses of fragmented services, it is also attractive to those who seek to open up the cosy, inefficient and, at times, corrupt worlds of local government. This is shown through an innovative typology of partnerships.

While there are sound policy reasons for engaging in the game of partnerships, there are dangers in underestimating the capacity of public agencies to adopt and adapt the language of partnership, without genuinely engaging with the intent behind the policy.

The implications from this article have practical relevance for those working in public policy and for those involved in partnerships.

By drawing upon examples of the abuse of partnership arrangements, this article provides an original perspective on those phenomena that might be an indication of trouble.

The purpose of this paper selected by ICIL 2019 committee in Rome is to demonstrate the current importance of the internet in the protection of democracy in developting countries.

It is intended to make a comparison with the growing and current phenomenon of Brazilian disinformation with other contemporary phenomena related to new technologies through literature review methodology.

The Brazilian elections in 2018 represent an authentic model in a post-Cambridge Analytical phase where the myth of the sanctity of data has been broken. The big influence of the algorithmic revolution on democracies in Latin America has never been more evident. The misuse of algorithms created an artificial environment that does not put us in contact with different realities; the consequences of this conjuncture have the deepest impacts, especially in countries that rely on a deficient educational system.

Besides that, the broad use of zero-rating on the internet delivery in developing countries is also considered a factor of fake news dissemination. The information bubbles promote political polarization to the detriment of diversity – and the diversity is par excellence one of the pillars of democracy.

The research about the impact that the phenomenon of disinformation has on underdeveloped countries, it is essential to analyze the new role of the legislator in the elaboration of hypercomplex laws with multi-stakeholder interests that respect the essential core of digital human rights as the freedom of expression online.

Many decision rules are rational but opaque, and many others are irrational but transparent. This paper aims to propose a theoretical framework to operationalize opacity in decision-making – the degree to which a decision rule is intelligible to the decision maker.

The authors operationalize opacity and discuss the implication of opaque decision-making in organizational settings through a typology, where decision rules can be rational or irrational and opaque or transparent.

The authors show that opacity is asymmetric as different organizational actors possess different degrees of knowledge about how the decision rules work. Organizational actors often opacify the decision rules to increase their power (based on asymmetric knowledge). Opacity also presents a significant impact on organizational accountability, as transparent organizations are more reputable.

This contribution represents the first theoretical and methodological articulation of opacity in decision-making, within a bounded and ecological rationality framework; it also sheds new light on the role of cognitive biases in organizational settings.