Orchestrating the Twin Transition in Multinational Corporations: Technology Roadmapping for Green and Digital Global Business Services

Battle Count: 50

This paper is entirely unrelated to quantitative trading. It focuses on Global Business Services, technology roadmapping, socio-technical transitions, and green/digital transformation in multinational corporations. There is no financial modeling, trading strategy, market prediction, or quantitative finance content. The only tangential connection is the mention of 'Supply Chain Finance' and 'green FinTech' as part of the Reward-Orchestration Thread, but these are discussed in a strategic/policy context rather than a quantitative trading context.

The bibliometric analysis pipeline (Bibliometrix, VOSviewer, Python) is relatively standard in scientometrics. However, the integration with MLP-STT theoretical frameworks, the ITU toolkit application, and the multi-period thematic evolution analysis require significant domain expertise in both bibliometrics and socio-technical transition theory. The conceptual framework is complex but the computational implementation is moderate. Access to Web of Science and familiarity with the ITU toolkit add practical barriers.

The methodology is well-described with specific tools (Bibliometrix, VOSviewer, Python) and a detailed search query for Web of Science. However, the data source (Web of Science) is proprietary and requires institutional access. The custom Python scripts are not publicly shared. The ITU toolkit is publicly available. The thematic evolution analysis parameters and quadrant definitions are described but exact implementation details for the factorial analysis (MCA) are limited.