Abstract
The Internet of Things (IoT) is an important technological innovation that can enhance industrial competitiveness and sustainability. Thus, governments need to carefully construct an innovation portfolio that promotes sustainable IoT development. To help define an accurate innovation policy and promote development of the IoT industries, potential problems in terms of systemic perspectives should be examined. Such problems, so-called “systemic innovation problems”, influence and block sustainable development of IoT technology as well as the IoT industry. However, past studies that explored systemic innovation problems in IoT-related industries are limited. Thus, this research aims to explore systemic innovation problems related to configuring an IoT innovation policy portfolio. A hybrid Bayesian rough based evaluation model was used to derive the most feasible policy instruments. The modified Delphi, Bayesian Rough Decision-Making Trial and Evaluation Laboratory Based Network Procedures (BR-DNP), and the modified Bayesian rough Vlse Kriterijumska Optimizacija I Kompromisno Resenje (MBR-VIKOR) were introduced. Gaps in performance corresponding to each systemic innovation problem can thus be assessed based on the features of technological innovation systems. The applicability of the proposed model for promoting industrial sustainability of IoT in the Taiwanese smart manufacturing industry (based on the opinions provided by Taiwanese experts) was verified by an empirical study. Eleven systemic innovation problems that influence the development of the IoT for the smart manufacturing industry were compared and ranked. Based on the results of the empirical study, the performance-gap ratio of “low level of interdisciplinary collaboration” problem is the lowest, as compared to other systemic innovation problems. In addition, the systemic functions of entrepreneurial activities and knowledge development are relatively more important than other systemic functions. The empirical results can serve as a basis for planning an IoT innovation policy portfolio definition and roadmap. Moreover, suggestions for enhancing current systemic innovation problems are provided for policy makers and industrial researchers, according to the results of the evaluation.
Highlights
The objective of innovation policy definition is to influence and help the development of technological innovation by public actions, such as determination of research budgets, direction of education, and infrastructure establishment [1]
This research aims to explore systemic innovation problems related to configuring an Internet of Things (IoT) innovation policy portfolio
This paper evaluates the innovation system that is used to enhance the IoT-sustainability in the manufacturing industry; an evaluation framework for systemic innovation is proposed and used to assess a set of systemic innovation problems that may hinder the sustainability of IoT industries
Summary
The objective of innovation policy definition is to influence and help the development of technological innovation by public actions, such as determination of research budgets, direction of education, and infrastructure establishment [1]. It is necessary for government sectors to systematically consider how innovation policies for supporting technological innovations should be developed. To accelerate industrial development of IoT, national governments need to put more effort into promoting industrial IoT applications by defining innovation policy tools. In this sense, government sectors and policy makers should identify problems of systemic innovations that are blocking sustainable development of IoT. This research proposes a performance evaluation framework that can serve as the basis for defining innovation policies by considering the interactions between systemic innovation problems and systemic functions in terms of the TIS theoretic model
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