2010年2月1日 星期一

科技複雜性與商業生態系 Technological complexity and Business Ecosystem

The increasing popularity of the “business ecosystem” concept in (business) strategy reflects that it is seen as one way to cope with increasingly dynamic and complex business environments. Nevertheless, the lack of a convincing model of a business ecosystem has led to the development of software which only give organisations a partial aid whilst neglecting their need for adaptation. Research in Multi-Agent Systems has proved to be suitable for modelling interactions among disparate sort of entities such as organisations. On the other hand, natural ecosystems continue to adapt themselves to changes in their dynamic and complex environments. In this paper, we present the Dynamic Agent-based Ecosystem Model. It combines ideas from natural ecosystems and multi-agent systems for business interactions.
Increasing technological complexity means that market demands are often best satisfied through networks of collaborating organisations. Indeed, to achieve a sustainable growth and improve competitiveness in increasingly complex and dynamic environments, many businesses actively seek partnerships and alliances.

Moreover, the volatility of many contemporary markets mean that such partnerships form opportunistically and are short-lived. To flourish in such environments, businesses must continually adapt and evolve. This requires that a business engage in an ongoing dialogue with its environment and with others with which it shares this environment.

The notion of a “business ecosystem” is a strategic planning concept, introduced by Moore [1,2], that supports the perspective stated above. Moore defined a “business ecosystem” as a collection of companies which co-evolve, developing capabilities in response to new, wide-ranging innovations; companies both

參考文獻

[1] J. F. Moore, “Predators and Prey: A New Ecology of Competition,” Harward Business Review. 1993, vol. 71 (3), pp. 75-83.
[2] M. Peltoniemi and E. Vuori, ”Business Ecosystem as the New Approach to Complex Adaptive Business Environments,” in Proc. 4th Annu. Conference eBRF (eBusiness Research Forum), Tampere, 2004, pp. 267-281.
[3] César A. Marín , Iain Stalker and Nikolay Mehandjiev(2007) , Ecosystem Modelling: Combining Natural Ecosystems and Multi-Agent Systems

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