On the Evolution of Trust, Distrust, and Formal Coordination and Control in Interorganizational Relationships: Towards an Integrative Framework

In this article, we discuss the evolution of trust, distrust, and formal coordination and control in interorganizational relationships. We suggest that the degrees to which managers trust and distrust their partners during initial stages of cooperation leave strong imprints on the development of these relationships in later stages of collaboration. This derives from the impact of trust and distrust on: (1) formal coordination and control; (2) interorganizational performance; and (3) the interpretations that managers attribute to the behavior of their partners. Collectively, our arguments give rise to a conceptual framework, which indicates that there is a high propensity for interorganizational relationships to develop along vicious or virtuous cycles. By integrating and reconciling previous work on the trust-control nexus, and by emphasizing the dynamics associated with it, the article contributes to a more comprehensive and refined understanding of the evolution of interorganizational cooperation.evolution;trust;distrust;formal coordination;interorganizational relationship;formal control

Coevolutionary dynamics of a variant of the cyclic Lotka-Volterra model with three-agent interactions

We study a variant of the cyclic Lotka-Volterra model with three-agent interactions. Inspired by a multiplayer variation of the Rock-Paper-Scissors game, the model describes an ideal ecosystem in which cyclic competition among three species develops through cooperative predation. Its rate equations in a well-mixed environment display a degenerate Hopf bifurcation, occurring as reactions involving two predators plus one prey have the same rate as reactions involving two preys plus one predator. We estimate the magnitude of the stochastic noise at the bifurcation point, where finite size effects turn neutrally stable orbits into erratically diverging trajectories. In particular, we compare analytic predictions for the extinction probability, derived in the Fokker-Planck approximation, with numerical simulations based on the Gillespie stochastic algorithm. We then extend the analysis of the phase portrait to heterogeneous rates. In a well-mixed environment, we observe a continuum of degenerate Hopf bifurcations, generalizing the above one. Neutral stability ensues from a complex equilibrium between different reactions. Remarkably, on a two-dimensional lattice, all bifurcations disappear as a consequence of the spatial locality of the interactions. In the second part of the paper, we investigate the effects of mobility in a lattice metapopulation model with patches hosting several agents. We find that strategies propagate along the arms of rotating spirals, as they usually do in models of cyclic dominance. We observe propagation instabilities in the regime of large wavelengths. We also examine three-agent interactions inducing nonlinear diffusion.Comment: 22 pages, 13 figures. v2: version accepted for publication in EPJ

On the Evolution of Trust, Distrust, and Formal Coordination and Control in Interorganizational Relationships: Towards an Integrative Framework

In this article, we discuss the evolution of trust, distrust, and formal coordination and control in interorganizational relationships. We suggest that the degrees to which managers trust and distrust their partners during initial stages of cooperation leave strong imprints on the development of these relationships in later stages of collaboration. This derives from the impact of trust and distrust on: (1) formal coordination and control; (2) interorganizational performance; and (3) the interpretations that managers attribute to the behavior of their partners. Collectively, our arguments give rise to a conceptual framework, which indicates that there is a high propensity for interorganizational relationships to develop along vicious or virtuous cycles. By integrating and reconciling previous work on the trust-control nexus, and by emphasizing the dynamics associated with it, the article contributes to a more comprehensive and refined understanding of the evolution of interorganizational cooperation

Framework of Collagen Type I – Vasoactive Vessels Structuring Invariant Geometric Attractor in Cancer Tissues: Insight into Biological Magnetic Field

In a previous research, we have described and documented self-assembly of geometric triangular chiral hexagon crystal-like complex organizations (GTCHC) in human pathological tissues. This article documents and gathers insights into the magnetic field in cancer tissues and also how it generates an invariant functional geometric attractor constituted for collider partners in their entangled environment. The need to identify this hierarquic attractor was born out of the concern to understand how the vascular net of these complexes are organized, and to determine if the spiral vascular subpatterns observed adjacent to GTCHC complexes and their assembly are interrelational. The study focuses on cancer tissues and all the macroscopic and microscopic material in which GTCHC complexes are identified, which have been overlooked so far, and are rigorously revised. This revision follows the same parameters that were established in the initial phase of the investigation, but with a new item: the visualization and documentation of external dorsal serous vascular bed areas in spatial correlation with the localization of GTCHC complexes inside the tumors. Following the standard of the electro-optical collision model, we were able to reproduce and replicate collider patterns, that is, pairs of left and right hand spin-spiraled subpatterns, associated with the orientation of the spinning process that can be an expansion or contraction disposition of light particles. Agreement between this model and tumor data is surprisingly close; electromagnetic spiral patterns generated were identical at the spiral vascular arrangement in connection with GTCHC complexes in malignant tumors. These findings suggest that the framework of collagen type 1 – vasoactive vessels that structure geometric attractors in cancer tissues with invariant morphology sets generate collider partners in their magnetic domain with opposite biological behavior. If these principles are incorporated into nanomaterial, biomedical devices, and engineered tissues, new therapeutic strategies could be developed for cancer treatment

Negotiating with a logical-linguistic protocol in a dialogical framework

This book is the result of years of reflection. Some time ago, while working in commodities, the author felt how difficult it was to decide the order in which to use arguments during a negotiation process. What would happen if we translated the arguments into cards and played them according to the rules of the Bridge game? The results were impressive. There was potential for improvement in the negotiation process. The investigation went deeper, exploring players, cards, deals and the information concealed in the players´ announcements, in the cards and in the deals. This new angle brought the research to NeuroLinguistic Patterns and cryptic languages, such as Russian Cards. In the following pages, the author shares her discovery of a new application for Logical Dialogues: Negotiations, tackled from basic linguistic structures placed under a dialogue form as a cognitive system which ‘understands’ natural language, with the aim to solve conflicts and even to serve peace

Regulating Systemic Risk: Towards an Analytical Framework

The global financial crisis demonstrated the inability and unwillingness of financial market participants to safeguard the stability of the financial system. It also highlighted the enormous direct and indirect costs of addressing systemic crises after they have occurred, as opposed to attempting to prevent them from arising. Governments and international organizations are responding with measures intended to make the financial system more resilient to economic shocks, many of which will be implemented by regulatory bodies over time. These measures suffer, however, from the lack of a theoretical account of how systemic risk propagates within the financial system and why regulatory intervention is needed to disrupt it. In this Article, we address this deficiency by examining how systemic risk is transmitted. We then proceed to explain why, in the absence of regulation, market participants cannot be relied upon to disrupt or otherwise limit the transmission of systemic risk. Finally, we advance an analytical framework to inform systemic risk regulation

Alliance Coordination, Dysfunctions, and the Protection of Idiosyncratic Knowledge in Strategic Learning Alliances

In high technology industries firms use strategic learning alliances to create value that can’t be created alone. While they open their interorganizational membrane to gain new skills and competences, generate new products and services, accelerate development speed, and enter into new markets their idiosyncratic knowledge base may be impaired when knowledge related dysfunctions like the unintended knowledge transfer, asymmetric learning speed or premature closing occur. Within a value approach we examine the interplay of alliance coordination activities that enhance value creation, emerging knowledge related dysfunctions, and formal and organizational protections measures which shall safeguard firms intellectual crown jewels. We tested our hypotheses with a sample of 111 strategic alliances of young technology based Enterprises (YTBEs) with competing partners in high and key technology industries. Our findings suggest that a focal firm’s alliance management is well advised to intensely coordinate the alliance and to be aware of dysfunctional tendencies that erode alliance value. Since organizational protection measures could exaggerate dysfunctional effects they should be deployed very deliberately on a modest level. Formal protections measures, in contrast, seem to aggravate coordination activities’ value creation effect by setting behavioral guidelines. Moreover, an unsuccessful negotiation process of formal protection agreements may allow a deselection of partners that would not obey others intellectual property interests. Finally, we highlight theoretical and managerial implications that arise from these findings. --Strategic Learning Alliance,Protection

A novel penalty-based wrapper objective function for feature selection in big data using cooperative co-evolution

The rapid progress of modern technologies generates a massive amount of high-throughput data, called Big Data, which provides opportunities to find new insights using machine learning (ML) algorithms. Big Data consist of many features (also called attributes); however, not all these are necessary or relevant, and they may degrade the performance of ML algorithms. Feature selection (FS) is an essential preprocessing step to reduce the dimensionality of a dataset. Evolutionary algorithms (EAs) are widely used search algorithms for FS. Using classification accuracy as the objective function for FS, EAs, such as the cooperative co-evolutionary algorithm (CCEA), achieve higher accuracy, even with a higher number of features. Feature selection has two purposes: reducing the number of features to decrease computations and improving classification accuracy, which are contradictory but can be achieved using a single objective function. For this very purpose, this paper proposes a penalty-based wrapper objective function. This function can be used to evaluate the FS process using CCEA, hence called Cooperative Co-Evolutionary Algorithm-Based Feature Selection (CCEAFS). An experiment was performed using six widely used classifiers on six different datasets from the UCI ML repository with FS and without FS. The experimental results indicate that the proposed objective function is efficient at reducing the number of features in the final feature subset without significantly reducing classification accuracy. Based on different performance measures, in most cases, naïve Bayes outperforms other classifiers when using CCEAFS

FuseBox24

Following on from the findings of the Brighton Fuse report, the FuseBox24 project examined in further detail the conditions necessary to accelerate innovation in the Creative, Digital and IT (CDIT) sector, a strong and growing part of the UK economy. The FuseBox24 project found that CDIT innovators: - Trade in ideas and content, but tend not to worry about protecting intellectual property – open innovation and collaborative approaches dominate. - Often as sole traders or micro-businesses need shared spaces in which to collaborate with others to develop ideas. - Need support, capability and new tools to enable them to get the most out of collaborations for sustainable innovation. The FuseBox24 findings demonstrated that arts, humanities and design approaches are highly effective in meeting these needs