資訊系統開發組織演化模式之研究

Evolution Model for the Information System Development Organization

汪正然(Cheng-Jan Wang)

指導教授 ： 吳忠敏

國立臺北科技大學/管理學院/商業自動化與管理研究所/碩士(2005年)

摘要

資訊系統開發過程中開發組織成員的影響因素相當多且複雜，也無明確地界定系統優劣之標準，同時在系統開發的過程中，除了人員的技術能力、開發經驗及資源分配同時也涉及了專案組織結構合理性及專案領導層控管結果。
為此本研究利用須依附問題模式的傳統演算法有顯著不同的基因演算方法論，運用相當簡單的架構、流程，且有強大的演化能力及高問題獨立特性，研究探討資訊系統開發組織演化模式。此法目前運用在科學及工業和管理上已相當普遍，應用在管理上多數在解決排程及最佳解問題方面，無非在降低成本、縮短時間及效益最大化，但應用在組織演化過程中組織調整及組織適應性的研究相當少見，本研究利用基因演算方法論在資訊系統開發組織變革過程中探討演化法對組織變革的適宜性。
結果發現；第一，演算法可因成員個別技能改善而使開發結果成功機率提高，但卻無法明確得知組織裡的個體表現，因此無法檢示出何種基因影響較顯著。第二，組織適應性的基因演算模式，常以數字排列來表示組織結構或影響因子，排列與突變會導致新的組織或是組織重整。所以利用基因演算方法對於已開發資訊系統中組織成員幫助不大，對於系統開發前組織可行性預測有微效作用。

關鍵字

組織變革 ； 組織演化 ； 基因演算 ； 資訊系統開發組織

並列摘要

In the process of developing information systems, factors influencing the members of developing organizations are numerous and complicated. In addition, specific standards to differentiate between good and bad are also lacking. Meanwhile, in the process of developing systems, except for the employees’ skills, developing experiences, and resource distribution, the reasonableness of the project organization structure and the control and management of the project leadership are also involved.
In light of this, this research utilizes the genetic algorithm, which is different from the conventional one that has to depend on question models. The genetic algorithm, with simple structure and procedures, has a strong deduction ability and high degree of question independence and is adpoted for the research of exploring the evolutionary models of information system developing organizations. This method has been widely adopted in sciences, industries, and management. In management, it is used to solve questions about scheduling and optimal solutions, simply aiming at reducing costs, shortening time, and maximizing benefits. However, the application of the genetic algorithm in the organizational adjustment and adaptation of the evolution process of organizations has been rare. This research utilizes the methodology of genetic algorithm to explore the feasibility of the algorithm toward the organizational revolution in the process of developing information systems.
The results are as follows: First, the success rate of development can be raised due to the skill improvement of individual members, but the individual performance in the organization can not be specifically identified. Therefore, knowing which gene has more remarkable influence is impossible. Second, the genetic algorithm model for organizational adaptation often utilizes numerical permutation to represent the organizational structure or the influencing factors. Permutation and mutation will lead to new organizations or reorganization. Consequently, the genetic algorithm is not helpful to organizational members of developed information systems, but it has slight effect on predicting the feasibility of information systems for organizations.

並列關鍵字

Organizational change ； Evolution of organizations ； Genetic algorithm ； Information system development organization

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