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This study aims to analyze the narratives of growth during the initial stages of development of the medical device technological innovation system (TIS). This paper used micro/nanofluidic-based point-of-care testing (mnPOCT), a breakthrough technology in the health-care sector.

This study presents a framework that includes measures of knowledge breadth and sharing mechanisms based on cognitive and actor-based networks. The framework integrates bibliometric, network and statistics-based approaches with a focus on the first decade of mnPOCT development.

In addition to the typical patterns of technological emergence, the mnPOCT sector exhibits distinctive characteristics. This paper observed significant scientific content and a high geographic concentration. Although small- and medium-sized enterprises, particularly startups, detonate knowledge development, large companies play a subtle yet impactful role as innovation mediators. Interfirm alliances are sparse, reflecting the complementarities between startups and large firms throughout the innovation value chain. These alliances show a significant correlation with SME knowledge creation.

This study provides researchers and practitioners with guidelines for assessing the dynamics of the growth of technologies in the earliest stages of growth through knowledge and implications for research strategy toward the development and deployment of effective system interventions.

The study of formative TISs presents challenges because of the nascent characteristics and uncertainties surrounding emerging technologies. Current discussions on the narratives of growth of emerging TISs are limited to broad descriptions, which hinder understanding of these formative stages. This study offers a unique approach to assessing the initial stages of technological evolution. Moreover, it contributes to the existing literature by providing guidelines for managing new technologies for R&D researchers and practitioners.

This paper aims to construct a novel measure of firms’ perceived degree of economic policy uncertainty (EPU) and to examine its impact on imitative innovation.

This paper uses text mining methods to extract valid information for management discussion and analysis from the annual reports of Chinese A-share-listed companies from 2009 to 2021.

The empirical findings demonstrate that firms that perceive higher uncertainty in economic policies promote increased imitative innovation behaviour. In addition, when uncertainty is high, overly optimistic managers can reduce the imitative innovation of the firm to other firms.

The paper uses some of the more recent textual analysis techniques in the field of innovation to measure listed firms' perceptions of external EPU and to examine the impact of uncertainty on imitative innovation. Such research enriches the literature on innovation and fills some gaps.