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- Assessment of sustainable collaboration in collaborative business ecosystemsPublication . Graça, Paula; Camarinha-Matos, Luis M.Advances in information and communication technologies and, more specifically, in artificial intelligence resulted in more intelligent systems, which, in the business world, particularly in collaborative business ecosystems, can lead to a more streamlined, effective, and sustainable processes. Following the design science research method, this article presents a simulation model, which includes a performance assessment and influence mechanism to evaluate and influence the collaboration of the organisations in a business ecosystem. The establishment of adequate performance indicators to assess the organisations can act as an influencing factor of their behaviour, contributing to enhancing their performance and improving the ecosystem collaboration sustainability. As such, several scenarios are presented shaping the simulation model with actual data gathered from three IT industry organisations running in the same business ecosystem, assessed by a set of proposed performance indicators. The resulting outcomes show that the collaboration can be measured, and the organisations' behaviour can be influenced by varying the weights of the performance indicators adopted by the CBE manager.
- The need of performance indicators for collaborative business ecosystemsPublication . Graça, Paula; Camarinha-Matos, Luís M.During last decades there has been a trend to build collaboration platforms as enablers for groups of enterprises to jointly provide integrated services and products. As a result, the notion of business ecosystem is getting wider acceptance. However, a critical issue that is still open, despite some efforts in this area, is the identification of adequate performance indicators to measure and motivate sustainable collaboration. This work-in-progress addresses this concern, briefly presenting the state of the art of relevant contributing areas such as, collaborative networks, business ecosystems, enterprise performance indicators, social networks analysis, and supply chains. Complementarily, through an assessment of current gaps, the research challenges are identified and an approach for further development is proposed.
- Performance indicators for collaborative business ecosystems - literature review and trendsPublication . Graça, Paula; Camarinha-Matos, L. M.Nowadays, more and more enterprises are aware and motivated to adhere to collaborative platforms as business enablers, allowing groups of companies to improve their offer and competitiveness. As such, the concept of business ecosystem is becoming prominent. However, despite the evidences of collaboration benefits, for which some research efforts have been made, there is still a lack of Suitable performance indicators and associated metrics to assess those benefits, promoting sustainability and resilience of the members of a collaborative business ecosystem. The analysis of the literature shows that a number of contributions can be found in several research fields, such as enterprise performance indicators, collaboration benefits, value systems, supply chain collaboration, and social network analysis. The purpose of this paper is to survey these areas, highlighting their potential contributions concerning the assessment of collaborative benefits and performance. The analysis also identifies the strengths and weaknesses of current proposals regarding the establishment of adequate performance indicators for collaborative business ecosystems. (C) 2016 Elsevier Inc. All rights reserved.
- Evaluating and influencing the performance of a collaborative business ecosystem – a simulation studyPublication . Graça, Paula; Camarinha-Matos, Luis M.In a Collaborative Business Ecosystem, organisations collaborate to acquire and accomplish more innovative and challenging market opportunities. But the sustainability of collaboration requires continuous performance improvement. To this end, well-defined performance indicators can be used to both assess the collaboration level and act as an influence mechanism to induce an improvement in the collaborative behaviour of the participating organisations. By varying the importance (weight) of the adopted set of indicators, it is possible to study the variations in behaviour towards improvement, not only at organisations’ level but also at the level of the ecosystem as a whole. In order to assess this hypothesis, this paper contains a case study based on simulation and agent-based modelling whose behaviour is shaped according to actual data on collaboration collected from three companies in the area of the IT industry. Various scenarios are simulated and described.