IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

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

Analytical Models to Characterize Trade-Offs Between Technological Upgrading and Innovation
View Sample PDF
Author(s): Cathy Zishang Liu (University of Houston-Downtown, USA) and Youn-Sha Chan (University of Houston-Downtown, USA)
Copyright: 2022
Volume: 9
Issue: 1
Pages: 29
Source title: International Journal of Business Analytics (IJBAN)
Editor(s)-in-Chief: John Wang (Montclair State University, USA)
DOI: 10.4018/IJBAN.288515

Purchase

View Analytical Models to Characterize Trade-Offs Between Technological Upgrading and Innovation on the publisher's website for pricing and purchasing information.

Abstract

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.

Related Content

Marcos Paulo Valadares de Oliveira, Kevin P. McCormack, Marcelo Bronzo, Peter Trkman. © 2022. 19 pages.
Milijana Novovic Buric, Milan Raicevic, Ljiljana Kascelan, Vladimir Kascelan. © 2022. 23 pages.
Khushboo Gupta, Seshanwita Das, Kanishka Gupta. © 2022. 16 pages.
Tae You Kim, Min Jae Park, Jiho Shin, Sungwon Oh. © 2022. 16 pages.
Sipu Hou, Zongzhen Cai, Jiming Wu, Hongwei Du, Peng Xie. © 2022. 12 pages.
Cathy Zishang Liu, Youn-Sha Chan. © 2022. 29 pages.
Gustavo Grander, Luciano Ferreira da Silva, Ernesto D. R. Santibanez Gonzalez. © 2022. 14 pages.
Body Bottom