Dynamic Profit Sharing Mechanism For High-tech Virtual Enterprise And Its Support System

The increasing complexity and accelerating renewal of technology make high-tech enterprises face unprecedented risks of finance and innovation. In order to cope with global competition by fast development and industrialization of high-tech product, high-tech enterprises should quickly integrate varying advantages for dispersing investment risks and promoting innovation efficiency. From the perspective of long-term, to establish a High-tech Virtual Enterprise (HTVE) is an effective method to cultivate sustainable competitive advantages and also facilitate the integration of regionally distributed competitiveness, which will help Chinese High-tech enterprises with limited scale and R&D capability quickly conduct technology innovation and product development. However, partners in a HTVE always assume different degree of risks and cost for achieving the common objective. In such a situation, a reasonable profit sharing mechanism is imperatively required to assure the actual risk and cost assumed by partners to be compensated timely. Otherwise, the partners will engage in efforts for maximizing their own profit, which may result in the damage of the stabilization and total revenue of a HTVE.Profit sharing closely connects with many factors in a virtual enterprise system, such as task division, core competency, cost, revenue and even organization structure of the HTVE. Thus, the study of a profit sharing mechanism must intimately embed in the background of HTVE. In chapter 3, driving forces of the emergence of a HTVE and its characteristics are firstly introduced. After analyzing the application environment and operation patterns of both federal and unified HTVE, the dissertation argues the necessity for a HTVE to establish a Dynamic Profit Sharing Mechanism (DPSM). Because the profit sharing management of an unified HTVE is comparatively simple, researches are primarily conducted based on the background of a federal one. The dissertation in chapter 4 formulates a model for examining how attributes of parters (E.g. core competency, marginal ratio, attitude to risks and innovation cost) quantitively affect their available profit. Optimal tactics as well as preconditions in both decentralized and centralized situation are respectively provided, and then practical methods for making original sharing contracts. Conflicts between partners always result from the inevitable changes of anticipated investment during cooperation process, so timely evaluation and modification are required. Chapter 5 further designs a seriesof method for modifying sharing tactics dynamically according to the actual cost and risks the partners assumed in different stages. However, Implementation of DPSM is required to establish a comparatively complex environment of distributed decision-making so that a DSS with better expansibility is needed. Next chapter constructs a reconfigurable modeling system based on ESP rules to make the DSS flexibly adapt to the changes of application circumstance. The definition of uniform model, meta-model integration and model construction are involved. In chapter 7, the perfect reasoning mechanism and formalized knowledge presentation pattern of extenics are incorporated into the design of PPS. Structure of PPS, methods for problem identification, core problem expansion and automotive tactic generation are introduced. In order to certify the validity and feasibility of DPSM, the dissertation finally presents the details on how to implement DPSM in a project initiated by Magna Donnelly ltd. Corporation and shows some function modules of the corresponding DSS.DPSM can not only motivate partners to innovate actively without the worry of being locked in, but can dynamically evaluate the cooperation capability of partners. The study provides some referential methods for making and modifying sharing tactics and even for sharing process. The model representation and integration methods based on ESP rules bring forward new ways for model reuse. The attempt that introduces extensive logic into PPS design will make sense to the improvement of the intellectual decision-making capability of DSS.