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While the advent of Industry 4.0 is emblematic of national strategy for industrial revitalization, the proliferation of technology has drastically changed the landscape of many major sectors of global industries. Industry 4.0 encompasses multi-dimensional conceptsincluding computerization, digitization, and intelligentization-of business operations based on cyber-physical-systems (CPS) and the Internet-of-Things (IoTs). The vision of Industry 4.0 will bring about improvements in industrial processes, ranging from engineering, material usage, supply chains, and product lifecycle management, to the horizontal value chain. This research project adopts a descriptive analysis with descriptive statistics under the innovation policy framework proposed by Rothwell and Zegveld. This report also informs a comparative policy analysis across China and Taiwan. From the perspectives of industry coalition and competition, this cross-strait comparison lends itself to being a policy-making reference. Results reveal that China, in terms of policy-making, concentrates on 'political' and 'legal/regulatory' aspects of environmental policy, as well as the theme of 'public service' of the demand-side policy. Taiwan also emphasizes the 'environmental-side' policy like China, whereas Taiwan focuses more on 'education/training' of the supply-side policy.

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Selection of government-sponsored frontier R&D projects is made difficult by the coexistence of the conflicting participating parties, the availability of experts for new frontier technology review, and the ambiguity of new frontier technology. This paper presents a model that includes (1) using the analytical hierarchy process (AHP) method to integrate various expectations from different interest groups into evaluating objectives/criteria, (2) the groupdecision method by technical experts based on the predetermined objectives/criteria, and (3) the fuzzy approach in scoring the subjective judgments of the experts. The results reveal that differences of weights toward each criterion exist among various groups. The government and academia care more about social benefits, the researchers are more concerned about intellectual properties, and the experts from industry emphasize the importance of feasibility. The method presented in this paper was applied at a national research institute in Taiwan. The results reveal that: (1) the approach can solve the disparity between the profound knowledge required for evaluation and the different expectation from various interest groups, (2) the fuzzy approach is suitable to frontier technology R&D project selection because of the vagueness of the nature of frontier technology and the difficulties in evaluating quantitatively and accurately.

Air pollution poses serious problems as global industrialization continues to thrive. Since air pollution has grave impacts on human health, industry experts are starting to fathom how to integrate particulate matter (PM) sensors into portable devices; however, traditional micro-electro-mechanical systems (MEMS) gas sensors are too large. To overcome this challenge, experts from industry and academia have recently begun to investigate replacing the traditional etching techniques used on MEMS with semiconductor-based manufacturing processes and materials, such as gallium nitride (GaN), gallium arsenide (GaAs), and silicon. However, studies showing how to systematically evaluate and select suitable materials are rare in the literature. Therefore, this study aims to propose an analytic framework based on multiple criteria decision making (MCDM) to evaluate and select the most suitable materials for fabricating PM sensors. An empirical study based on recent research was conducted to demonstrate the feasibility of our analytic framework. The results provide an invaluable future reference for research institutes and providers.

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