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Technological capabilities in the era of the digital economy for integration into cyber-physical systems and the IoT using decision-making approach
Journal of Innovation & Knowledge ( IF 18.1 ) Pub Date : 2023-04-15 , DOI: 10.1016/j.jik.2023.100356
Zhe Song , Arunodaya Raj Mishra , Sayedeh Parastoo Saeidi

In the digital economy, innovators have to deal with the value-capture problem, which necessitates different capabilities. They need to be fully aware of the dynamics of platforms and ecosystems. Such capabilities are needed to enable technologies mainly focused on in the present study. The current digital economy (where businesses are experiencing a big shift from a traditional setting to a widely-digitalized setting) requires companies and enterprises to incorporate innovation into their performance. The present paper aims to offer a novel realm of modern technologies by recognizing the roles the technological capabilities could play in the digital economy regarding for integration of cyber-physical systems (CPS) and the Internet of Things (IoT) into the digital economy. This paper develops an integrated decision-making framework called the Pythagorean fuzzy (PF)- method based on the removal effects of criteria (MEREC)-rank sum (RS)-double normalization-based multiple aggregation (DNMA) model by combining the PF-MEREC-RS and PF-DNMA methods. In this framework, the PF-MEREC-RS method computes the subjective and objective weights of the technological capabilities of the digital economy for the integration of IoT and the CPS. The PF-DNMA method uses to obtain the firms’ preference order over various technological capabilities in the digital economy for integration of the IoT and the CPS. In addition, this paper involves an empirical case study evaluating the key technological capabilities in the digital economy for integration of the IoT and the CPS. Furthermore, comparison and sensitivity investigation are made to show the superiority of the developed framework.



中文翻译:

数字经济时代利用决策方法整合信息物理系统和物联网的技术能力

在数字经济中,创新者必须处理价值获取问题,这需要不同的能力。他们需要充分了解平台和生态系统的动态。需要这种能力来实现本研究主要关注的技术。当前的数字经济(企业正在经历从传统环境到广泛数字化环境的巨大转变)要求公司和企业将创新纳入其绩效。本文旨在通过认识到技术能力在数字经济中关于将网络物理系统 (CPS) 和物联网 (IoT) 集成到数字经济中所发挥的作用,提供现代技术的一个新领域。本文通过结合 PF- MEREC-RS 和 PF-DNMA 方法。在此框架下,PF-MEREC-RS 方法计算了数字经济技术能力的主观和客观权重,用于物联网和 CPS 的集成。PF-DNMA 方法用于获取企业对数字经济中各种技术能力的偏好顺序,以实现 IoT 和 CPS 的集成。此外,本文还涉及一个实证案例研究,评估数字经济中物联网和 CPS 集成的关键技术能力。此外,

更新日期:2023-04-16
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