油气创新项目技术引进计划的成功标准和分类体系

M. F. C. Júnior, Gabriel T. Jesus, Irineu S. Yassuda, Feliciano Silva, Marcos Nóbrega, P. M. Sousa
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引用次数: 3

摘要

复杂产品和系统(CoPS)的创新动态以项目为基础,与大规模生产行业不同。许多与缔约方会议有关的投资需要开发尖端技术并将其集成到大型复杂系统中,因此需要对这些投资进行风险评估和管理的适当方法。项目不仅是运营方面的一部分,而且对业务创新、能力发展和公司战略至关重要。确定适当的成功标准和建立项目分类系统是评估创新项目的关键。本文首先介绍了油气项目成功标准模型的提出和评价。从这个评估中,提出了一个计划,将技术引入系统,旨在发展系统并与公司战略融合。然后提出了一个分类系统来评估该计划中的创新项目,基于钻石方法。它被应用于案例研究。评估显示了积极的结果,并提供了关于成功标准维度的相对重要性的见解。本研究通过对现有模型的适应、方案建议和实证数据来为理论做出贡献。处理cop的组织,特别是石油和天然气行业的组织,可能会从本文介绍的模型和见解中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A proposal for success criteria and categorization system to a technology introduction program for Oil and Gas innovation projects
The dynamics of innovation in complex products and systems (CoPS) is based on projects and differs from the mass production industries. Many of the investments related to CoPS require the development of cutting-edge technologies and their integration into large and complex systems, requiring appropriate methodologies for risk assessment and management for these investments. Projects are not only part of the operational side but are critical to business innovation, capacity development, and corporate strategy. Determining adequate success criteria and establishing a project categorization system are critical for assessing innovation projects. This article firstly shows the proposal and evaluation of the success criteria model for Oil and Gas projects. From this evaluation, a program was proposed to introduce technologies in systems, aiming at evolving systems and their convergence with the corporate strategy. A categorization system was then proposed to assess innovation projects in this program, based on the diamond approach. It was applied to case studies. The evaluation showed positive results and provided insights about the relative importance of success criteria dimensions. This study contributes to the theory with adaptations to existing models, a program proposal, and empirical data. Organizations dealing with CoPS, especially in the Oil and Gas sector, may benefit from the models and insights presented here.
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