技术升级与创新权衡的分析模型

IF 0.6 Q4 BUSINESS

International Journal of Business Analytics Pub Date : 2022-01-01 DOI:10.4018/ijban.288515

C. Liu, Young Chan

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引用次数: 0

摘要

我们提出了两个分析模型来描述石油和天然气行业技术升级和创新之间的关系。第一个是“优化模型”，它关注利润最大化和环境合规成本之间的权衡。另一种是基于捕捉生物系统动力学的“捕食者-猎物”模型开发的。我们的研究有助于可持续发展的战略规划过程，因为我们了解到最优分配过程是由多个运营因素决定的，包括企业在行业竞争对手中的竞争排名、行业对资本投资同期回报率的同意、未来石油和天然气的预计需求，以及环境合规成本的变化。此外，我们通过提供解集的绑定条件来增加最优分配过程的稳健性。

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Analytical Models to Characterize Trade-Offs Between Technological Upgrading and Innovation

We propose two analytical models to characterize the relationship between technological upgrading and innovation in the oil & gas industry. The first one is an “optimization model” which focuses on the trade-offs between profit maximization and environmental compliance cost. The other has been developed based on “predator-prey” model which captures the dynamics of biological systems. Our study contributes to the strategic planning process for sustainable development by providing the insight that optimal allocation process is determined by multiple operational factors, including a firm’s competitive ranking among its industrial competitors, industrial consent on the concurrent rate of return on capital investment, the projected demand of oil & gas in future, and a change in environmental compliance cost. Further, we add to the robustness of the optimal allocation process by providing binding conditions of the set of solutions.

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来源期刊

International Journal of Business Analytics BUSINESS-

CiteScore

2.30

自引率

27.30%

发文量

期刊介绍： The main objective of the International Journal of Business Analytics (IJBAN) is to advance the next frontier of decision sciences and provide an international forum for practitioners and researchers in business and governmental organizations—as well as information technology professionals, software developers, and vendors—to exchange, share, and present useful and innovative ideas and work. The journal encourages exploration of different models, methods, processes, and principles in profitable and actionable manners.