Proficient implementation of data analysis and sentimental analysis of FIFA-18

Jagannatha, S.; Niranjanamurthy, M.; Amulya, M.P.; P, Dayananda

doi:10.1016/j.matpr.2021.05.036

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…In recent years, some studies have attempted to fill this gap by using data-driven methods or agent-based models to study the diffusion of digital innovation technology from different angles. For instance, Jagannatha et al (2022) utilized data-driven innovation to extract positive or negative sentiments from various forms of digital communication, thereby conducting sentiment analysis. Buera et al (2020) explored the role of international trade in the development process of innovation and technology diffusion by building an easy-to-handle, quantifiable theoretical model of innovation and diffusion, which viewed innovation and diffusion as a process involving combining new ideas with insights from other industries or countries.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Enterprise Data-Driven Innovation Diffusion Supervision System Based on the Perspective of Green Supply Chain

Pan,

Miao,

Lin

2023

Journal of Organizational and End User Computing

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To promote the market substitution of digital innovation technology and green products and alleviate the pressure of energy and environment, a three-party evolutionary game model of innovation diffusion based on core manufacturers, affiliated enterprises and the government is established in the article to explore the adjustment of the three-party game strategy of core manufacturers and affiliated enterprises under government supervision, and then analyze the optimal stability conditions that are conducive to the innovation diffusion of digital innovation technology. It is found that the core manufacturers would choose the diffusion strategy of digital innovation technology, which would take the initiative to adopt the diffused digital innovation technology due to cost considerations, without easily choosing independent research and development (hereafter R&D strategy); the reward and punishment mechanism made by the government for core manufacturers' digital innovation technology diffusion could effectively promote technology diffusion in the market.

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Section: Literature Reviewmentioning

confidence: 99%