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Full-Text Articles in Technology and Innovation
Smart Manufacturing And Its Implications For Singapore's Smes, Thomas Menkhoff, Surianarayanan Gopalakrishnan
Smart Manufacturing And Its Implications For Singapore's Smes, Thomas Menkhoff, Surianarayanan Gopalakrishnan
Research Collection Lee Kong Chian School Of Business
While Covid-19 and the climate catastrophe continue to make headlines, local small and medium-sized enterprises (SMEs) are quietly setting the gears of Smart Manufacturing in motion with a strategic focus on digitising and automating production processes powered by "Industry 4.0" (I4.0) ready business models. A shared view among several interviewees we talked to recently in the context of an ongoing study on the impact of I4.0 on the business models of local manufacturers is that Industrial Internet-of-Things (IIoT), machine learning, visual computing, automation and digital twining are deemed of great importance for the long-term competitiveness of Singapore's manufacturing ecosystem on …
Machine Learning Using Instruments For Text Selection: Predicting Innovation Performance, Kian Guan Lim, Michelle S. J. Lim
Machine Learning Using Instruments For Text Selection: Predicting Innovation Performance, Kian Guan Lim, Michelle S. J. Lim
Research Collection Lee Kong Chian School Of Business
In machine learning we utilize the idea of employing instrumental variable such as patent records to train the texts. Patent records are highly correlated with R&D expenditures, but are not necessarily correlated with performance residuals not linked to R&D. Thus, using instrumental patent records to train word counts of selected texts to serve as a proxy for firm R&D expenditure, we show that the texts and associated word counts provide effective prediction of firm innovation performances such as firm market value and total sales growth.