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With the fierce competition in a knowledge economy, knowledge-intensive enterprises (KIEs) make technological progress in their catching-up processes through implementing product innovation and process innovation. In this study, the aim is to understand the determinants of enterprise innovation type in China's catch-up environment. Further, this paper intends to deal with two related questions. First, what effect does the internal knowledge base have on KIEs' technology innovation activities? Second, considering the technology gap and technology development speed, what are the different impacts of the knowledge base on the type of technology innovation activities?

This paper collected data from 212 KIEs in China through a two-stage questionnaire survey, combined with statistical data for research. The hypothesis was tested by regression analysis. Specifically, descriptive statistics and regression analysis are introduced to test the hypothetical relationship between the knowledge base and technology innovation. Meanwhile, multiple regression is used to test whether there is any difference in the influence of technology gap and technology development speed on enterprise knowledge base and technology innovation. Finally, the corresponding robustness tests are done.

This study finds that in a sample of Yangtze River Delta KIEs, firms' knowledge base influences innovation types. Specifically, the knowledge base width (KBW) and knowledge base depth (KBD) positively influence process innovation, and KBD positively affects product innovation. Regarding the effects of catch-up context factors on KIEs’ innovation choice, a wide technology gap tends to positively influence product innovation in industries with high levels of KBW. Moreover, when technology development speed is high, its potential positive influence on process innovation will be more significant for industries with deeper knowledge bases.

This paper fills the research gap that existing studies ignore the relationship between types of technology innovation and knowledge base dimensions, especially for KIEs. First, this paper deepens the understanding of the impact mechanism of KIEs' existing knowledge base on innovation activities; the unique use of resources by enterprises is the basis of enterprises' competitive advantage and will become enterprises' competitive advantage. Second, this study indicates that against different backdrops of technology gap and technology development speed, enterprises with different knowledge bases will adopt different types of technology innovation activities. Third, this paper shows that a wider technology gap provides broader innovation space, so the technology gap plays a pulling role in KBW and product innovation, thus pushing forward enterprises' technological catch-up.

The objective of this paper is to empirically test and verify the influence of information and communication technology (ICT) capability on environmental performance (EP) of manufacturing, as well as the moderating effect of heterogenous factors and the mediating effect of ambidextrous innovation in the context of the Chinese manufacturing firms.

The data come from the World Bank Enterprise Survey of China conducted from December 2011 to February 2013. The logistic regression is applied with Stata 15, and the robustness test by three methods is employed to verify the reliability of the results in this paper.

The research results suggest that the positive relationship between ICT capability and EP is moderated by two heterogenous factors, including main market and industry attributes. Meanwhile, the positive relationship between ICT capability and EP is mediated by ambidextrous innovation.

This work highlights ICT capability as an important, yet underexplored antecedent in improving the EP of manufacturing firms. This research further uncovers the moderating role of main market and industry attributes, as well as the mediating mechanism by introducing ambidextrous innovation in the relationship between ICT capability and EP.

Although scholars in strategic management have identified innovating and exit as firms’ two sequential strategic responses to long-run crisis, the potential interdependency has yet remained implicit. Specifically, in the context of Chinese Privately Owned Enterprises (POEs), this study investigates the interrelationship of these two strategic responses during long-run crisis. Building on resource redeployment perspective, the authors propose that firms tend to simultaneously leverage innovating and exit responses.

The authors use the data from the 2010 Chinese POEs survey to verify how firms in the long-term crisis made strategic responses after the 2008 financial crisis. Besides, the authors utilize Probit regressions as the basic analysis and further employ bivariate Probit regressions to conduct robustness tests.

This study provides empirical evidence confirming that firms in the long-run period of the crisis tend to adopt both exit and innovating strategies at the same time, that is, the strategy of resource redeployment. Moreover, this study further finds that government subsidies, the degree of marketization and firm’s organizational capability could all accentuate the decision-making of firms’ resource redeployment.

The authors thus contribute to the study of strategic responses to crisis in strategic management by dynamically find out the interdependency of two responses and enrich the research on resource redeployment perspective by identifying three influential positive antecedents, adding to the ongoing investigation on positive drivers of resource redeployment.

The purpose of this paper is to understand the relationship among police legitimacy/trust and experiences of intimate partner violence (IPV), including victims’ decisions to report IPV to police and police responses to IPV.

Data were drawn from the 2017 Survey of Police–Public Encounters II – a cross-sectional, general population survey of adults from New York City and Baltimore (n=1,000). Regression analyses were used to examine associations among police legitimacy/trust, IPV exposure, police reporting of IPV, and perceived police responses to IPV and interaction effects.

Higher levels of IPV exposure were significantly associated with lower levels of police legitimacy/trust; however, this relationship was stronger among African–American participants than non-African–American participants. Higher levels of police legitimacy/trust were significantly associated with more positive police responses to IPV and this relationship was stronger among heterosexual participants than sexual minority participants.

Future research should examine prospective relationships to understand causal mechanisms linking individual perceptions of police legitimacy/trust, experiences with IPV and victims’ interactions with police.

Low levels of legitimacy/trust between police and citizens may result, in part, if police are engaged in negative or inadequate responses to reports of IPV. Police–social work partnerships can enhance effective police responses to IPV, particularly to racial/ethnic and sexual minority individuals.

This study provides empirical evidence linking police legitimacy/trust to the experiences of IPV and perceived police responses to reports of IPV, including important group differences among victims based on race/ethnicity and sexual orientation.

This paper seeks to explore arguments for the importance of disruptive innovation to China's low‐carbon transition, while such innovation is generally overlooked and/or belittled.

The paper builds on the multi‐level perspective (MLP) of systems transitions being developed by interdisciplinary scholars regarding low‐carbon innovation to explore the multiple opportunities regarding disruptive innovation in the case of China.

This exploration details that at the levels of business strategy, national economic development and governance of a transition to ecological sustainability, there is a strong prima facie case that disruptive innovation offers singular opportunities in China regarding low‐carbon innovation, while a focus on hi‐tech innovation alone is unlikely to effect the radical systems transition needed.

Acknowledging and incorporating such opportunities is thus to be encouraged, both in China and elsewhere, including in the formulation of low‐carbon innovation policy. A concerted research programme for ongoing and iterative “second‐order” learning about concrete examples of disruptive low‐carbon innovation is advocated.

The increased opportunities for dispersed social involvement in a low‐carbon transition through disruptive innovation are discussed.

The paper offers a novel synthesis of diverse literatures to advocate a significantly different approach to low‐carbon innovation than is evidenced in current policy and policy discourse.

This concluding chapter provides key takeaways from the insights and recommendations that emerged from the EUPRERA2022 volume with a focus on crises and issues. Reflections are made with an emphasis on the understanding of sticky crisis, the embodiment of challenging, complex and recurring critical risks that threaten organisational well-being and stakeholder safety across sectors and cultures. A call for more interdisciplinary and international collaborations between academia and industry is made. Future directions of crisis, risk and disaster communication research that matter to practice are discussed.

The purpose of this paper is to examine the issues of integrating R&D globalization, national innovation system, university‐industry (U‐I) knowledge transfer, and international U‐I collaboration.

A framework for research on internationalization of U‐I collaboration is proposed and the process of international U‐I collaboration could be categorized Processes A (including A1‐A2‐A3), B, C and D. The framework is applied to explore the process and contribution of international U‐I collaboration in China based on the cases studies of Philips' Brainbridge program and institute for the study of the ancient world (ISAW) international cooperation.

Processes A and B are confirmed in this research. Through the international U‐I collaboration, foreign universities contribute to the development of innovative capabilities of industries in China, while the foreign companies could play roles in the China's national innovation system. The research suggests that the international U‐I collaboration could be used as a bridge to connect strategies of R&D globalization to the improvement of national innovation system. With the internationalization of U‐I collaboration, the national innovation system would be developing to global innovation system. Moreover, this paper provides a method of technological internationalization and practical suggestions to the management of U‐I collaboration.

More empirical research is necessary to further examine this framework.

This paper provides a framework to analyse the process of international U‐I collaboration. Additionally, it enriches the research on R&D globalization from the industrial fields to the academics and the research on national innovation system. The findings will contribute to the practice and diffusion of international U‐I collaboration from the industrial and governmental levels.

This paper aims to amplify the retrieval and utilization of historical newspapers through the application of semantic organization, all from the vantage point of a fine-grained knowledge element perspective. This endeavor seeks to unlock the latent value embedded within newspaper contents while simultaneously furnishing invaluable guidance within methodological paradigms for research in the humanities domain.

According to the semantic organization process and knowledge element concept, this study proposes a holistic framework, including four pivotal stages: knowledge element description, extraction, association and application. Initially, a semantic description model dedicated to knowledge elements is devised. Subsequently, harnessing the advanced deep learning techniques, the study delves into the realm of entity recognition and relationship extraction. These techniques are instrumental in identifying entities within the historical newspaper contents and capturing the interdependencies that exist among them. Finally, an online platform based on Flask is developed to enable the recognition of entities and relationships within historical newspapers.

This article utilized the Shengjing Times·Changchun Compilation as the datasets for describing, extracting, associating and applying newspapers contents. Regarding knowledge element extraction, the BERT + BS consistently outperforms Bi-LSTM, CRF++ and even BERT in terms of Recall and F1 scores, making it a favorable choice for entity recognition in this context. Particularly noteworthy is the Bi-LSTM-Pro model, which stands out with the highest scores across all metrics, notably achieving an exceptional F1 score in knowledge element relationship recognition.

Historical newspapers transcend their status as mere artifacts, evolving into invaluable reservoirs safeguarding the societal and historical memory. Through semantic organization from a fine-grained knowledge element perspective, it can facilitate semantic retrieval, semantic association, information visualization and knowledge discovery services for historical newspapers. In practice, it can empower researchers to unearth profound insights within the historical and cultural context, broadening the landscape of digital humanities research and practical applications.