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This paper explores the effect the regional technological environment has on technology-driven performance, measured by enterprise resource planning (ERP).

This study specifies a productivity-based production function driven by ERP system adoption. Employing a quasi-experimental research design, the author disentangles two effects – the average effect of ERP adoption and the moderation effect of the regional technological environment. The novelty of this study is that it merges publicly available information retrieved via text-mining tools and official financial reports published by companies.

The total effect of technology adoption on productivity varies from almost 3%–9% in different technological environments. Moreover, this study’s results revealed that the regional technological environment could enhance the effect of adopting different ERP systems.

While some papers investigate the relationship between ERP adoption and firm performance regarding the environmental context of a firm, the effect of the regional technological environment on the relationship between technology adoption and firm performance is understudied. Thus, this research tries to contribute to a deeper understanding of the regional context's impact on technology-driven performance. The authors used automated content analysis to collect data on technology adoption; by doing so, this study contributes to the growing body of research utilising the text-mining approach to extract data stored in Internet-based information sources.

This study aims to examine how the knowledge breadth and depth of a patent affect its likelihood of being pledged. It also seeks to explore whether these relationships change diversely in different technological environments.

A complementary log-log model with random effects was conducted to test the hypotheses using a unique data set consisting of 348,927 invention patents granted by the China National Intellectual Property Administration from 1985 to 2015 belonging to 74,996 firms.

The findings reveal that both knowledge breadth and depth of a patent positively affect its likelihood of being pledged. Furthermore, the knowledge breadth and depth entail different degrees of superiority in different technological environments.

This study focuses on the effect of an individual patent’s knowledge base on its likelihood of being selected as collateral. It does not consider the influence of the overall knowledge characteristics of the selected patent portfolio.

Managers need to pay attention to patents’ knowledge characteristics and the changes in technological environments to select the most suitable patents as collateral and thus improve the success rate of pledge financing.

This study explores the impact of multidimensional characteristics of knowledge base on patent pledge financing within a systematic theoretical framework and incorporates technological environments into this framework.

High-tech enterprises, as the national innovation powerhouses, have garnered considerable interest, particularly regarding their technological innovation capabilities. Nevertheless, prevalent research tends to spotlight the impact of individual factors on innovative behavior, with only a fraction adopting a comprehensive viewpoint, scrutinizing the causal amalgamations of precursor conditions influencing the overall innovation proficiency of high-tech enterprises.

This paper employs a hybrid approach integrating necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA) to examine the combinatorial effects of antecedent factors on high-tech enterprises' innovation output. Our analysis draws upon data from 46 listed Chinese high-tech enterprises. To promote technological innovation within high-tech enterprises, we introduce a novel perspective that emphasizes technological innovation networks, grounded in a network agents-structure-environment framework. These antecedents are government subsidy, tax benefits, customer concentration, purchase concentration rate, market-oriented index and innovation environment.

The findings delineate four configurational pathways leading to high innovative output and three pathways resulting in low production.

This study thereby enriches the body of knowledge around technological innovation and provides actionable policy recommendations.

This study aims to examine the effect of exploratory innovation offshoring on the level of hierarchical control and how this effect is moderated by transnational and dynamic environments.

This study draws on a sample of 148 Taiwanese multinational enterprises to examine their governance decisions on foreign investments.

Findings show that the more innovation offshoring is exploratory, the higher the level of hierarchical control will be used by multinational enterprises (MNEs) and that transnational and dynamic environments have different moderation effects on the positive exploratory innovation offshoring-hierarchical control relationship.

This study has two theoretical implications. First, this study extends the concept of complexity from a transaction attribute level (problem) to an environmental level (transnational environment) and finds that exploratory innovation offshoring and transnational environments interactively impact governance choices. Second, this study distinguishes between two sources of technological uncertainty – uncertainty due to transaction-level attributes (exploratory innovation offshoring) and external environments (dynamic environments) and finds that exploratory innovation offshoring and dynamic environments interactively impact governance choices.

The practical implication of this study lies in the simultaneous consideration of exploratory innovation offshoring and transnational/dynamic environments, which will allow international decision-makers to adjust/select the governance forms most appropriate for speedy responding to and handling environmental changes.

This study employs the theoretical perspectives of transaction cost economics (TCE) and resource-based view (RBV) to analyze and discuss the impact of operational environments – transnational and dynamic environments – on MNEs’ decisions on the governance structure for a given innovation offshoring.

This paper aims to investigate how to improve new product performance in turbulent circumstances of emerging economies.

This paper used regression analysis to examine the performance impact of customer relationship management (CRM) and product development management (PDM) concentration strategy in new product development (NPD). A detailed contingent analysis of the market and institutional environments in emerging economies is also conducted based on a survey of 114 Chinese high-tech manufacturers.

The research findings show that PDM has a stronger positive effect on new product performance than CRM in emerging economies and that the contingent effects of the market and institutional environment vary. More specifically, technological turbulence and enforcement inefficiency can positively moderate the relationship between CRM and new product performance, whereas the moderating effect of market turbulence on CRM is negative. Meanwhile, enforcement inefficiency negatively moderates the effect of PDM on new product performance, while the moderating effect of market turbulence on PDM is positive.

This paper is limited to a survey of high-tech manufacturing enterprises in China. Further research should continues to explore and document the strategic issue about NPD in emerging economies by longitudinal study.

This paper contributed to theoretical and practical initiatives on the strategic issue of NPD and provided firms a further understanding of how to select the right NPD strategy in emerging economies to improve new product performance.

Small to medium‐sized enterprises (SMEs) have long been the main carrier of technology innovation and technology transformation in China, and the main force of technological innovation. The “Twelfth Five‐Year” plan puts forward the necessity of stimulating SMEs' innovation vigor. Thus, whether from the subjective desire for upgrading the industry level, or from the objective needs of the market, technological innovation has become an important impetus for restructuring and upgrading many SMEs, and for enhancing their core competitiveness. The purpose of this paper is to study technology innovation models from multiple perspectives such as growth stage of SMEs, the environmental features in the enterprises' locations, competitive characteristics of the industries and the enterprises' innovation ability.

This research topic is designed to study the SMEs' innovation ability and characteristics in the different stages of development and in different industrial and development environments. On this basis, this paper puts forwards a dynamic multi‐dimensional technology innovation model, combines SMEs' innovation practice to continuously improve their technology innovation model and establish the innovation system, thereby enhancing the innovative capability of SMEs and strengthening their core competitiveness.

Through data analysis and research, the paper researches the SMEs' technological innovation factors, and finds the development law of technological innovation; various different modes of SMEs' technological innovation are analyzed from multiple perspectives to construct a multi‐dimensional dynamic model of technological innovation.

This is of great practical significance to China's economic construction and social harmonious development; the study of this topic will form the theory and methodology with regard to the SME's technology innovation model.

The environment in high-tech industries is highly dynamic, and after COVID-19, it has become even more unpredictable. Hence, it has become critical for firms to develop strategies to cope with a highly dynamic environment. This paper aims to analyze how the impact of the scientific collaboration networks with URIs (universities and research institutes) on firm innovation performance is contingent on technological and market dynamics.

Using a sample of 174 Chinese firms in the new-energy vehicle industry during 2004–2015, the authors applied a random-effects negative binomial modeling approach to model these relationships.

A broad and strong scientific collaboration network promotes firm innovation network effects are contingent on technological and market dynamics. While technological dynamics strengthen the effect market dynamics weaken it due to the different purposes of collaboration for firms and URIs.

Firms should adjust the structure of scientific collaboration networks with URIs when facing different environments. The government should encourage firms to jointly research with diverse URIs and play an active role in stabilizing market environments.

This study contributes to the academic debate on university-industry scientific collaborations. Applying the temporary competitive advantage (TCA) framework, we provide nuances to the literature that studies the factors that condition the effects of networks. This study also adds to the research on firm scientific collaboration networks by measuring networks based on the coauthorship between firms and URIs.

The purpose of this paper is to empirically evaluate the mediating role of learning capability on the relationship between technological capability, relational capability and small and medium enterprises (SMEs) performance in developing economy of Africa.

A quantitative survey design was employed to collect the data from owner/manager of manufacturing SMEs in Nigeria. Partial least square structural equation model was used in the evaluation of both the measurement and structural models to determine the reliability and validity of the measurement and test the hypotheses, respectively.

The statistical result indicates a positive relationship between technological capability, learning capability and SMEs performance. Equally, relational capability significantly and positively relates to SMEs learning capability. However, relational capability negatively relates to SMEs performance, while technological capability also negatively relates to learning capability. Furthermore, learning capability mediates the negative relationship of relational capability and SMEs performance to significant positive relationship, while it does not mediate the relationship of technological capability and performance.

The analysis of this study is restricted to only resource-based view and dynamic capability theory. Data of the study were collected once a time on a self-reported technique. The study contributed significantly to the body literature on technological and relational capabilities and performance. It also demonstrated the need for SMEs manager to recognize and appreciate the roles of these strategic capabilities in achieving sustainable competitive position.

Through relational capability SMEs develops efficient collaborative relationship to acquire new techniques, knowledge. This is specifically, essential for SMEs firms from less developing and emerging economies as they are lagging behind at the global competitive platform, and that the possession of specific advantage locally may not be adequately enough to help penetrate the global markets. Similarly, technological capability enable firms to identify acquire and apply new external knowledge to develop operational competencies which may lead to the attainment of superior performance.

Government policies and programs designed to support technological development and innovation must be adjusted to consider the peculiar nature of SMEs firms in terms of technology and innovativeness that enhances competitive position and performance.

This study empirically examined the relationship of technological and relational capabilities and the SMEs learning capability and performance.

The extant “supply‐side” frameworks of industry evolution fail to predict the evolutionary patterns in industries based on systemic technologies. This paper aims to describe the complex demand environment in industries based on systemic technologies and to explain how the continuously evolving demand structure influences the choice and level of firm investments in the above context.

The paper identifies a conceptual gap in the “technology‐centric” literature on industry evolution by conducting a detailed interpretive survey of the literature that focuses on the demand‐side determinants of firm‐ and industry‐level technological processes underlying industry evolution, and co‐evolution of the technological system underlying an industry and the consumer applications based on the same.

The paper provides a set of empirically verifiable mechanisms to explain competing firms' choice and level of investment under conditions of technological and demand uncertainty in industries based on systemic technologies. On one hand, firms' investments influence the evolution of both the technological system(s) and their constituent components that underlie such industries and, on the other, firms' investments influence the consumption of the array of consumer applications that are generated in these industries.

The theoretical explanation provided herein not only enhances the understanding of the role of demand‐side factors as determinants of rate and direction of technological advances but also lies central to the understanding of the evolution of industries based on systemic technologies. More specifically, the paper explains how the interaction between continuously evolving demand structure in the downstream market(s) for consumer applications and the technological components comprising the technological system influences competing firms' choice and level of investments.

Drawing on a sensemaking perspective, this study aims to theoretically and empirically investigate the effects of participative corporate political activity (PCPA) on radical innovation and how regulatory uncertainty and technological uncertainty affect firms’ choice of PCPA as well as its effectiveness on radical innovation.

Hierarchical regression analyses were conducted to test the research model based on survey data collected from 227 Chinese manufacturing firms.

The results indicate that PCPA has a significantly positive effect on radical innovation. Both regulatory and technological uncertainty are positively related to PCPA. In addition, regulatory uncertainty strengthens the positive relationship between PCPA and radical innovation, whereas technological uncertainty weakens this relationship.

This study reveals that firm managers should be mindful that PCPA is beneficial to firms’ radical innovation activities in China. Additionally, although regulatory uncertainty and technological uncertainty can drive firms to engage in PCPA to cope with the ambiguity they experienced, managers should also be alert to the complicated role of environment forces in enlarging or discounting the positive effect of PCPA on radical innovation.

The findings offer fresh insights into the use of PCPA to manage the uncertain external environment when pursuing radical innovation activities in China.