A simulation Approach to Assess Partners Selected for a Collaborative Network

[EN] Manufacturing enterprises are increasingly more aware of the importance of establishing collaborative relationships with their network partners, due to the advantages associated to collaboration. Nevertheless, the participation in a collaborative network (CN) comes with associated challenges, namely the need to reduce the potential for conflicts among partners. A CN consists of heterogeneous partners, each one defining its own objectives and activating its own strategies. In this context, the ability to quickly identify partners with aligned strategies is crucial for smooth operation of the CN. The main aim of this paper is to address the partners' selection problem in the context of Virtual organizations Breeding Environments (VBE) that facilitate and enable the creation of Virtual Organisations (VO), as one type of CN. In a first stage, the sets of enterprises, characterised by having the required competencies to create the VO, are identified among different potential candidates within the VBE. In a second stage, the strategies alignment approach, based on the system dynamics simulation method, is used for the partners' selection process, identifying the best set of enterprises. In this paper, the final stage of partners' selection process is addressed by obtaining the degree of alignment of the business strategies formulated by each set of enterprises. In the light of this, a system dynamics-simulation model, in AnyLogic, is presented to obtain the set of enterprises that have higher levels of alignment in its strategies. The proposed system dynamics-simulation model is applied to a case in the building industry, to deal with the partners' selection problem in a VBE with the aim of forming a stable and sustainable VO.This work has been funded in part by Programa Val i+d para investigadores en formación (ACIF 2012) and by the Uninova–Center of Technology and Systems and the Portuguese FCT-PEST program UID/EEA/00066/2013.Andres, B.; Poler, R.; Camarinha-Matos, L.; Afsarmanesh, H. (2017). A simulation Approach to Assess Partners Selected for a Collaborative Network. International Journal of Simulation Modelling. 16(3):399-411. https://doi.org/10.2507/IJSIMM16(3)3.382S39941116

A proposal of performance indicators for collaborative business ecosystems

Business ecosystems enabled by the increasing use and improvement of communication networks, offer nowadays a powerful competitive advantage to business players and entrepreneurs. They form a collaborative new mean of economic and social value creation, addressing customers' needs, overcoming constraints of individual firms, increasing capabilities for new business opportunities, and accelerating learning and innovation. This paper proposes a set of performance indicators to measure some of these collaboration benefits, therefore motivating the sustainability and resilience of the business ecosystem. The presented results are based on simulation models, which intend to characterize the roles and interactions of a real life collaborative business ecosystem.info:eu-repo/semantics/publishedVersio

An environment to support negotiation and contracting in collaborative networks

During the last years, manufacturing and service industries faced a global change in the production paradigm. They have to continuously adapt their operating principles in reaction to new business or collaboration opportunities, where a natural reaction is a shift to a new business paradigm with the creation of strategic alliances for product or services development, but also for innovative and emergent business services design. On one hand, the process of creating such alliances can be rather simple if organizations share the same geographical and cultural context. But on the other hand, considering different conditions, there might be a low success rate in the creation of successful consortia. One known reason for such low rate are the delays resulting from negotiations in the establishment of collaboration commitments, represented by contracts or agreements, which are crucial in the creation of such alliances. The collaborative networks discipline covers the study of networks of organizations specially when supported by computer networks. This thesis contributes with research in this field describing the creation process of virtual organizations, and proposing a negotiation support environment to help participants in the negotiation of the consortia creation process and in the co-design of new business services. A negotiation support environment is therefore proposed and described with its main requirements, adopted negotiation protocol, conceptual architecture, models, and software environment. To demonstrate the feasibility of the implementation of the proposed systems, a proof-ofconcept software prototype was implemented and tested using some specific scenarios. This thesis work has been validated adopting a methodology that includes: (i) validation in the research community; (ii) validation in a solar industry network; and (iii) validation by comparison analysis

Thriving in a VUCA world: a case study exploring geopolitically- focused intelligence teams in the private sector through a systems theory lens

For several decades, business executives have been faced with increasing complexity in the global environment, including disruptions, rapid changes, and heightened global pressures. In an effort to maintain a strategic advantage, business leaders are increasingly leveraging geopolitically-focused strategic intelligence teams to accurately and concisely synthesize large quantities of data to support high-level business decision making. However, limited research has been conducted on the organizational development of these teams, the context in which they exist, and how they can most effectively support differing and evolving decision-maker needs. As these teams have the potential to have an outsized impact on global business decision making, this qualitative case study sought to explain, using a systems theory lens, the interdependence of the components involved in building and leveraging geopolitically-focused intelligence teams in U.S.-based private sector MNEs. This case study leveraged a multi-method approach consisting of 3 parts: (a) interviews with 15 former intelligence team members at one large multinational corporation, (b) review of key organizational and policy-oriented documents that guided this team’s operations, and (c) a questionnaire deployed within the private sector intelligence community. The research question guiding this inquiry was: How, if at all, does systems theory explain how geopolitically-focused intelligence teams operate in the private sector? In addressing this research question, the findings and conclusions of this study revealed equifinality and alignment with a systems theory approach; key skills critical to success in the field; and significant barriers that are common throughout the field

C-EMO: A Modeling Framework for Collaborative Network Emotions

Recent research in the area of collaborative networks is focusing on the social and organizational complexity of collaboration environments as a way to prevent technological failures and consequently contribute for the collaborative network’s sustainability. One direction is moving towards the need to provide “human-tech” friendly systems with cognitive models of human factors such as stress, emotion, trust, leadership, expertise or decision-making ability. In this context, an emotion-based system is being proposed with this thesis in order to bring another approach to avoid collaboration network’s failures and help in the management of conflicts. This approach, which is expected to improve the performance of existing CNs, adopts some of the models developed in the human psychology, sociology and affective computing areas. The underlying idea is to “borrow” the concept of human-emotion and apply it into the context of CNs, giving the CN players the ability to “feel emotions”. Therefore, this thesis contributes with a modeling framework that conceptualizes the notion of “emotion” in CNs and a methodology approach based on system dynamics and agent-based techniques that estimates the CN player’s “emotional states” giving support to decision-making processes. Aiming at demonstrating the appropriateness of the proposed framework a simulation prototype was implemented and a validation approach was proposed consisting of simulation of scenarios, qualitative assessment and validation by research community peers.Recentemente a área de investigação das redes colaborativas tem vindo a debruçar-se na complexidade social e organizacional em ambientes colaborativos e como pode ser usada para prevenir falhas tecnológicas e consequentemente contribuir para redes colaborativas sustentáveis. Uma das direcções de estudo assenta na necessidade de fornecer sistemas amigáveis “humano-tecnológicos” com modelos cognitivos de factores humanos como o stress, emoção, confiança, liderança ou capacidade de tomada de decisão. É neste contexto que esta tese propõe um sistema baseado em emoções com o objectivo de oferecer outra aproximação para a gestão de conflitos e falhas da rede de colaboração. Esta abordagem, que pressupõe melhorar o desempenho das redes existentes, adopta alguns dos modelos desenvolvidos nas áreas da psicologia humana, sociologia e affective computing. A ideia que está subjacente é a de “pedir emprestado” o conceito de emoção humana e aplicá-lo no contexto das redes colaborativas, dando aos seus intervenientes a capacidade de “sentir emoções”. Assim, esta tese contribui com uma framework de modelação que conceptualiza a noção de “emoção” em redes colaborativas e com uma aproximação de metodologia sustentada em sistemas dinâmicos e baseada em agentes que estimam os “estados emocionais” dos participantes e da própria rede colaborativa. De forma a demonstrar o nível de adequabilidade da framework de modelação proposta, foi implementado um protótipo de simulação e foi proposta uma abordagem de validação consistindo em simulação de cenários, avaliação qualitativa e validação pelos pares da comunidade científica

Supporting the Strategies Alignment Process in Collaborative Networks

[EN] The establishment of collaborative relationships with the network partners provides them important advantages, such as competitiveness and agility, when responding to the current rapid market evolutions. Nonetheless, the partic‐ ipation in collaborative networks becomes a complex process that starts with the alignment of all the enterprises objectives and strategies. Smart systems and approaches are needed in order support collaborative partners to deal with the strategies alignment challenge. The lack of alignment emerges because each enterprise defines its own objectives and strategies, to perform their business, and it could happen that non-compatible strategies are activated, involving the appear‐ ance of conflicts between strategies of different enterprises. 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