1,721,038 research outputs found
Innovazione in Cina: chi è il vero imprenditore?
No full textThis paper aims at studying the combined interaction of innovation policies and innovative capacity of firms in the relation between R&D investment and firm’s performance. The analysis is carried out on a sample of Chinese firms with the general purpose of shedding some light on the role played by public and private actors in increasing the innovative capacity of the productive system.
In particular, by means of a moderation model, data show that the innovation policies positively moderate the relation between R&D and performance (even if it not so for the highest values of the moderator). This effect is noticeably amplified if combined with the innovative activities implemented by the firm, represented by the ratio of capital represented by intellectual property rights and non-protected owned technology
Institutions, innovation and performance in Guangdong firms: The role of entrepreneurial orientation and environmental turbulence
No full textThis study combines the institution-based perspective and the innovation systems literature to examine the role of public policies in the entrepreneurship-innovation-performance relationships. It does so by presupposing a key mediating role for entrepreneurial orientation and by introducing environmental turbulence as a moderator. Data from a sample of 166 Guangdong Province manufacturing firms are used to test hypotheses, which distinguish between institutional pressures and incentives. Findings reveal the lesser relevance of institutional pressures whereas a more virtuous relationship between institutional incentives, entrepreneurial orientation and both innovation and overall performance emerges, especially when environmental turbulence increases. This is particularly clear with reference to firms' overall performance. These findings are of theoretical and practical relevance for the study of the effects of public policies as regards their nature and the policy design mix
Supply Chain Resilience in Hydrogen Valleys: Addressing Challenges and Opportunities in Green Hydrogen Ecosystems
No full textThe transition to sustainable energy systems is increasingly dependent on the resilience of supply chains, particularly in the emerging field of Hydrogen Valleys, which serve as integrated hubs for hydrogen production, storage, and distribution. Despite the promise of hydrogen as a clean energy carrier, supply chain disruptions and vulnerabilities pose significant challenges to large-scale implementation. This study addresses these challenges by developing a comprehensive framework of resilience indicators tailored to Hydrogen Valleys. The objective of the research is to evaluate how these energy ecosystems can withstand and adapt to external disruptions while contributing to long-term sustainability goals. To achieve this, the study employs a systematic literature review combined with an indepth analysis of key hydrogen projects. The review identified gaps in current resilience strategies and examined the application of concepts such as flexibility, redundancy, and management of risks across the hydrogen value chain. The project analysis provided practical insights into the challenges and opportunities faced in real-world applications of hydrogen infrastructure. The findings highlight the critical role of technological innovation, stakeholder collaboration, and regulatory consistency in enhancing supply chain resilience. The study demonstrates that although significant progress has been made in hydrogen production technologies, unresolved financial and regulatory barriers continue to hinder the scalability of Hydrogen Valleys. This research contributes to the ongoing discourse on energy resilience by offering a structured approach for evaluating and strengthening the resilience of hydrogen supply chains and provides actionable recommendations for policymakers and industry leaders aiming to foster sustainable energy transitions
Building responses to sustainable development challenges: A multistakeholder collaboration framework and application to climate change
No full textThe affirmation of open innovation and collaborative systems is enabling unprecedented opportunities to create business value while facilitating multistakeholder conversation on sustainability issues. In particular, platform-based models are emerging as organization archetypes able to facilitate cooperative dynamics among industrial actors, policy makers, academicians, scientists, and citizens. In this article, we use interdisciplinary business management and collaborative innovation literature to build the conceptual framework of a multisided platform as a collaboration environment gathering actors willing to define responses to sustainable development challenges. We present five dimensions or “genes,” that is, the focus and strategic intent or orientation of the platform (what), the participating sides, actors and groups (who), the actions, flows and coordination mechanisms (how), and the value drivers, benefits and externalities (why), and the rules regulating the affiliation and interaction processes (governance). We also present and discuss 30 subtopics or management items that are associated with the five dimensions defined. We then apply the conceptual model to analyze a case in the climate change endeavor and to show how competitive and cooperative dynamics can be virtuously integrated to provide individual- and company-driven responses to a timely socioenvironmental issue. The article provides a new perspective on collaboration to enhance social development, and it offers theoretical and practitioner insights for a broad interdisciplinary audience including scholars, practitioners, business, and platform managers
Technological innovation vs technological backwardness patterns in latecomer firms: An absorptive capacity perspective
Full text linkThis study investigates the factors inhibiting latecomer firms’ technological innovation and eventually their catch-up process. Accordingly, it relies on resource-based theory to advance an absorptive capacity argument and develop a multiple mediation model. This model is tested using the data collected from 166 Chinese manufacturing firms. Furthermore, this study provides theoretical arguments and empirical evidence about the role of each dimension of absorptive capacity in studying the catch-up process of latecomer firms, with particular reference to knowledge transformation. It also offers insights into the limitations of predominant latecomer firms’ innovation strategies and suggests shifts in managerial practice and policymaking
What Is Quality in Research? Building a Framework of Design, Process and Impact Attributes and Evaluation Perspectives
Full text linkThe strategic relevance of innovation and scientific research has amplified the attention towards the definition of quality in research practice. However, despite the proliferation of evaluation metrics and procedures, there is a need to go beyond bibliometric approaches and to identify, more explicitly, what constitutes good research and which are its driving factors or determinants. This article reviews specialized research policy, science policy and scientometrics literature to extract critical dimensions associated with research quality as presented in a vast although fragmented theory background. A literature-derived framework of research quality attributes is, thus, obtained, which is subject to an expert feedback process, involving scholars and practitioners in the fields of research policy and evaluation. The results are represented by a structured taxonomy of 66 quality attributes providing a systemic definition of research quality. The attributes are aggregated into a threedimensional framework encompassing research design (ex ante), research process (in-process) and research impact (ex post) perspectives. The main value of the study is to propose a literature-derived and comprehensive inventory of quality attributes and perspectives of evaluation. The findings can
support further theoretical developments and research policy discussions on the ultimate drivers of quality and impact of scientific research. The framework can be also useful to design new exercises or procedures of research evaluation based on a multidimensional view of quality
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