Clusters as Innovation Engines: The Accelerating Strengths of Proximity

Cognitive social capital for knowledge absorption in specialized environments: The path to innovation

The purpose of this research is to empirically analyze how regional specialization influence innovation in enterprises, as well as the mediation effect of absorptive capacity and cognitive social capital, as knowledge diffusion mechanisms. A questionnaire was developed and distributed, obtaining a sample of 197 energy firms in Spain. For the assessment of this data, the PLS-SEM technique, a multivariate analytical approach, has been used. The results show a positive and significant direct effect between the degree of regional specialization and the innovative performance of firms. In addition, the cognitive social capital and absorptive capacity variables show a positive and significant mediation effect in the relationship proposed, as well as between them, thus constructing a double mediation and proving to be relevant mechanisms for knowledge diffusion. Then, it is concluded that cognitive and geographical proximity matters, since enable firms to obtain resources for knowledge upgrading and innovation. Thus, it is crucial for firms to develop their capacity to absorb new external knowledge, as has been evidenced as a key factor to leverage the opportunities of the context in which firms are located. This paper has important implications for the long-standing complex debates about whether regions should develop, primarily whether they should do so through specialization or diversification.

Influence Mechanism of High-Tech Industrial Agglomeration on Green Innovation Performance: Evidence from China

This paper uses panel data from 30 provinces and cities in China between 2008 and 2017. It calculates the green innovation performance of each province and city based on the super-efficiency SBM model of unexpected output and measures the high-tech industrial agglomeration degree of each province and city by using the location entropy method. The influence of high-tech industrial agglomeration on green innovation is also empirically tested. It is found that the agglomeration level of high-tech industry and green innovation performance in Eastern China are much higher than those in Central and Western regions. There is a significant positive relationship between high-tech industrial agglomeration and green innovation performance. Human capital has a mediating effect in the positive impact of high-tech industry agglomeration on green innovation performance. The moderating effect of environmental regulation is markedly established. The higher the level of environmental regulation, the stronger the mediating effect of human capital. Based on the above conclusions, this paper puts forward relevant policy suggestions for promoting the organic combination of green and innovation-driven development and for promoting green transformation in China.

Evolutionary Path and Innovative Development of Pharmaceutical Industrial Cluster-A Case Study of Shijiazhuang, China

The innovation and development practices of the pharmaceutical industry are of great importance for the continual enhancement of public health. Industrial clusters are one of the important means by which the pharmaceutical industry can be transformed and developed, but there is a lack of research on the evolutionary path and development innovation of pharmaceutical industrial clusters. As a country with a major pharmaceutical industry, the transformation and development path of traditional pharmaceutical industrial clusters in China has important reference value for the sustainable development of the global pharmaceutical industry. Through an analysis of the evolution of traditional pharmaceutical industrial clusters in Shijiazhuang, this study explores the law of the dynamic evolution of pharmaceutical industrial clusters and the associated mechanisms. Specifically, we conclude that the evolutionary path of traditional pharmaceutical industrial clusters can be divided into the government-led pharmaceutical industrial cluster start-up stage, the government-guided pharmaceutical industrial cluster development stage, and the government-served pharmaceutical industrial cluster transformation stage. The operating mechanisms include a self-organization mechanism, an innovation-driven mechanism, and an outward associated mechanism, each of which plays different roles in the different stages of the dynamic evolution of the cluster, and the synergistic operation of the three mechanisms forms an important basis for the evolution of pharmaceutical industrial clusters. We found that the innovation development of traditional pharmaceutical industrial clusters is influenced by the synergy of the self-organization, innovation-driven, and outward associated mechanisms. The self-organization mechanism is a necessary condition for pharmaceutical industrial clusters to realize the transition from disorder to order. The innovation-driven mechanism is the core driving force for the innovative development of pharmaceutical industrial clusters. Finally, the outward associated mechanism is the main means by which pharmaceutical industrial clusters integrate into the global value chain.

Business Model Adaptation to the COVID-19 Crisis: Strategic Response of the Spanish Cultural and Creative Firms

Surviving in a humanitarian disaster such as the COVID-19 pandemic is a big challenge for micro, small, and medium-sized enterprises in all industries. Furthermore, cultural and creative firms face additional challenges. Many of those firms have survived the effects of the pandemic by proposing redesigned business models that have brought new added value in response to environmental hostility; they have strategically responded to the crises by adapting their business model. According to the extant literature, in VUCA (volatile, uncertain, complex and ambiguous) environments, dynamic capabilities are developed to detect and seize new opportunities and reconfigure the company’s assets. However, in very hostile environments, such as the COVID-19 crisis, the dynamic capabilities approach fails to explain the firm owners’ strategic decisions. A cross-case comparative analysis of ten micro and small firms in Spain’s cultural and creative industries has been conducted to examine how enterprises adapted to the COVID-19 crisis and the different organizational capabilities they implemented. This work proposes a new framework that postulates that business model adaptation is better understood under the emergency management theory and improvisational capability, instead of only under the dynamic capabilities lens. Organizational proximity in the diffusion of innovations under the open innovation paradigm is also critical to understanding the business model adaptation. From an academic perspective, this article enriches the current understanding of business model asdaptation by micro, small, and medium-sized enterprises in very hostile environments. The new framework intends to offer managers concrete guidelines about systematically adapting their business models in hostile situations.

Assessing Firm Readiness to Adopt Cluster-Based Innovative Projects: A Segmentation Analysis

As innovation has garnered substantial attention on corporate success and sustainability, organizations must evaluate internal contexts to determine potential innovative practices and benefits. Firms need to investigate the determining factors of innovation preparedness as organizational innovation practices are catalyzed through internal elements. This study evaluates small and medium firms’ readiness to adopt and execute collaborative innovative projects within a future cluster and its impacts on organizational advantages, intentions, and attributes. Thereby, three dimensions were considered in examining organizational preparedness, namely, climate, culture, and motivation. A total of 70 firms operating in the labeled agri-food sector in Morocco were interviewed and homogenously classified using integrated hierarchical and non-hierarchical algorithms, following a segmentation approach. Three segments were identified, stressing the degree of organizational readiness to undertake innovative projects within future service clusters. The segments varied according to the firm’s sub-sector, experience, and resources. Considering the association of readiness with benefits and practical aims, the results broaden firm preparedness understanding to adopt innovative projects. The results also illustrate the relevance of adapting both innovative and beneficial project arrangements for firms with minor to moderate experience while addressing current issues across different segments.

AMBIDEXTROUS INNOVATION IN STATE-OWNED ENTERPRISES IN INDIA: THE ROLE OF NEW ENTRANTS, TECHNOLOGICAL DISCONTINUITY, AND KNOWLEDGE NETWORKS

This study examines the effects of competitive pressure by new entrants and technological discontinuity on the strategic innovations adopted by incumbent state-owned enterprises (SOEs) in India. Due to government ownership, these firms are dominant players domestically and their market leadership is challenged by new entrants. Technological discontinuity challenges technology leadership. Incumbent firms develop knowledge networks by working with partners, suppliers, and buyers. The incumbent firms must strike a balance between the exploitation of current technology and the exploration of new technology. This study aims to understand the effect of new entrants and technological discontinuity on the exploitation and exploration strategies of Indian SOEs in the manufacturing sector. The quantitative analysis is carried out using partial least squares structural equation modeling. For Indian SOEs, the technological discontinuity does affect exploitation and exploration, but new entrants have no such effect. The study confirms the moderating effect of knowledge networks on exploitation.

IoT innovation clusters in Europe and the case for public policy

The Internet of Things (IoT) is currently developing fast and its potential as driver of innovative solutions is increasing, pushed by technologies, networks, communication, and computing power, and has the potential to drive the development of technological ecosystems, such as innovation clusters. Innovation clusters are agglomeration of enterprises and research organizations, which cooperate, interact and compete, generating innovation and driving the growth of ecosystems. The narrative around innovation clusters has been developing since many years and policy-makers seek to use such clusters as a policy instrument to support the growth of technology on the one hand and regional and sectoral development on the other hand. This policy paper expands an empirical study on IoT innovation clusters in Europe and places it within the current debate around clusters and innovation clusters to provide evidence-based advice to policy-makers on what may and may not work as public policy measures. The paper highlights the findings of the interaction with several hundred European IoT innovation clusters and points out their points of view on their own creation factors, operational characteristics, and success stories, as well as their expectations in respect to policy interventions for IoT and for clusters. Suggestions for IoT policy-making are provided. The paper has also undertaken an extensive review of up-to date research on innovation cluster creation and performance, thoroughly analyzing the real possibility to define causal relationships between clusters, productivity and economic growth, and business performance, and providing suggestions for policy-makers on the approach to cluster policy.