Abstract

The materialization of the 4th Industrial Revolution needs to emphasize the role of collaboration. Traditional business ecosystems have evolved to hyper-connected organizations facing more advanced collaboration models, dynamic networks, and more complex smart systems. Emerging collaborative aspects in this context need to be identified, and tools developed to help organizations coping with changing environment, market, and societal needs. As such, an assessment model is proposed to measure the expected self-adjustment of organizations in a collaborative business ecosystem, induced by performance indicators, in order to improve the organizations themselves and the ecosystem as a whole. Organizations with distinct profiles, categorized by classes of responsiveness, respond differently to the collaboration opportunities they may receive, or are more likely to invite others to collaborate. This behaviour is expected to be influenced by the variation in importance (weight) of each specific performance indicator adopted in a given business ecosystem, as the organizations, like individuals, tend to evolve according to how they are evaluated. To assess the proposed approach, an experiment has been set up using a simulation model based on system dynamics and agents. Preliminary results, based on a number of relevant scenarios, are presented and discussed.

Highlights

  • Business ecosystems are continuously evolving, accompanying the growing use of digital and collaborative platforms

  • A performance assessment mechanism can be used to assess the Collaborative Business Ecosystem (CBE) and its individual organizations, based on the indicators proposed in [5] and [15]: the Innovation Indicator (II), to evaluate the proficiency of the organizations to create new products or patents; the Contribution Indicator (CI), to evaluate the value generated by the collaboration; and the Prestige Indicator (PI), to evaluate the prominence of a particular organization over others, to participate in collaboration

  • The factor of influence (FI) of the mechanism, is expressed as a percentage of improvement to be distributed among the slices according to the weights of the performance indicators, causing a reallocation of resources and a consequent self-adjustment of the organizations’ behaviour

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Summary

Introduction

Business ecosystems are continuously evolving, accompanying the growing use of digital and collaborative platforms. A business ecosystem it is considered in the research area of Collaborative Networks (CN) [3], which has a wider scope. As such and aiming to emphasize the collaboration dimension, the term Collaborative Business Ecosystem (CBE) has been introduced in [4] and a model proposed [5]. The remaining sections of this paper are organized as follows: section two describes the proposed simulation model, presenting its collaborative and assessment environment; section three shows how to calculate two of the performance indicators used to illustrate the assessment; section four presents the experimental evaluation of the model using a parametrized scenario to assess and verify the influence of indicators in its evolution, including a discussion of results. The last section summarizes the results and identifies the ongoing research and future work

A Simulation Model of a CBE
Collaborative Environment
Assessment Environment
Performance Indicators to Assess the Influence on the CBE
Experimental Evaluation of the CBE
Findings
Conclusions and Further Work
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