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The purpose of this paper is to construct a process theory of cluster development, in order to complement the many studies focusing on the factors that determine successful clusters.

This theory‐building effort relies on event‐driven methodology, which triangulates narratives collected at different points in time with other documented materials, in order to trace cluster development over a six‐year period. The empirical data are analysed according to theoretical classes formed a priori and anchored in Aldrich's framework of emergence, events and consequences. The idea is to identify critical events that subsequently inform theory development.

The authors show that three critical processes drive sustainable cluster development: the exploitation of current opportunities, the exploration of future opportunities, and processes that facilitate the balancing of the two. Whereas the conceptual focus in the extant literature is on exploration and exploitation processes, the authors find that balancing processes are also critical.

The paper's findings are of practical relevance to private and public policy makers with regard to the management and financing of balancing mechanisms that help to secure sustainable development. The authors will continue to follow the development of this specific cluster in order to identify a wider range of sub‐processes that contribute to the long‐term viability of clusters in general.

This work is original in the sense that it extends March's exploration and exploitation theory, applies it to the inter‐organisational context of clusters, and links the two processes through a process of balancing. The empirical evidence and the methodological approach used contribute in terms of building a “real process theory”, according to Aldrich's specification of an event‐driven research approach.

This study aims to offer a research overview of circular food waste management, covering key themes and trends. It analyses state-of-the-art research in this field and proposes an agenda to guide future research.

This study outlines bibliometric analysis from a sample of 349 articles with VOSviewer and SciMat software to identify research trend topics.

The findings reveal a substantial amount of interest in this field. The main research topics relate to the recovery processes and valorisation of food waste and its conversion into renewable and cleaner materials or energy sources, towards circularity. However, these processes require consideration of social aspects that facilitate their implementation, which are currently under-researched.

Companies can target their circular food waste management by considering three key aspects. Firstly, the establishment of closer and more sustainable relationships with various stakeholders; Secondly, a regulatory framework and the support of institutions are both required for the correct implementation of circularity. Finally, what is not measured does not exist. It is therefore necessary to establish indicators to measure both the level of development of circularity in waste management and the fulfilment of the established objective.

This bibliometric analysis looks at the application of circularity principles in food waste management from a holistic perspective, considering different areas of knowledge.

The paper aims to contribute to the Circular Economy debate from the Entrepreneurship Education perspective. Despite scholars' growing interest in both these research streams, scarce consideration is given to the comprehension of their mutual implications and meaning.

The paper is based on a cross-case analysis. It compares 16 higher education programmes launched by Universities in Europe aimed to create competences and skills for Circular Economy in students with different profiles. The analysis provides a critical view of the emerging trends for the entrepreneurship education skills and competencies needed for the emerging circular entrepreneurship paradigm.

The paper discusses the main trends of Entrepreneurship Education focused on Circular Economy debate at the European level: rationale and learning objectives (why); contents (what), target students and stakeholders (who) and the learning processes (how). Four thematic areas are identified as common patterns: circular economy business model, green supply chain management, technology entrepreneurship and innovation and public policies and institutional frameworks.

The paper sheds new light on a still under-researched area, suggesting several implications and avenues for future research in Circular Economy and Entrepreneurship Education. Limitations regard the need to analyse education programmes from a larger geographical area, to take into consideration interesting experiences in the rest of the world and to also collect quantitative data.

Practical implications arise for the development of learning initiatives for the Circular Economy: learning objectives and new thematic areas focused on circular, sustainable and innovative rethinking of the process for creating value in the incumbent companies; exploring meaning and benefits of collaborative approaches and participation in the circular economy innovation ecosystem and developing advanced models for soft-skills development in terms of leadership, motivational and creative skills.

The debate on CE can also be rooted in the paradigm of entrepreneurship as a core process to advance knowledge on valuable and sustainable innovation.

The measurement capabilities of the data envelopment analysis (DEA) models are used to train the artificial neural network (ANN) models for the best performance modeling of the sawmills in Ontario. The bootstrap DEA models measure robust technical efficiency scores and have benchmarking abilities, whereas the ANN models use abstract learning from a limited set of information and provide the predictive power.

The complementary modeling approaches of the DEA and the ANN provide an adaptive decision support tool for each sawmill.

The trained ANN models demonstrate promising results in predicting the relative efficiency scores and the optimal combination of the inputs and the outputs for three categories (large, medium and small) of sawmills in Ontario. The average absolute error in predicting the relative efficiency scores varies from 0.01 to 0.04, and the predicted optimal combination of the inputs (roundwood and employees) and the output (lumber) demonstrate that a large percentage of the sawmills shows less than 10% error in the prediction results.

The purpose of this study is to develop an integrated DEA-ANN model that can help in the continuous improvement and performance evaluations of the forest industry working under uncertain business environment.

Time analysis and institution analysis as well as journal analysis allow the study to show literature distribution in this research area. Research hotspots and trending among different times are revealed by network-structural properties and network-temporal property. The study aims to shed light on international cluster research progress on strategic niche management (SNM).

Using searched literature data on SNM from 1991 to 2018 from the database of Web of Science (WOS), the article maps the citation network and completes the citation analysis based on bibliometric citation analysis.

These eight research streams reveal the development of SNM from theoretical description to target-oriented study and finally diversification analysis.

The paper identifies eight continuous research streams in SNM: sustainable transition, dynamical diversity, complexity, social-technical system, social innovation, social-cognitive evolution, emerging market and policy mix.

This paper aims to explore the impact of enterprise niche on dual innovation performance and the moderating role of innovation openness on the relationship between enterprise niche and dual innovation performance.

This study uses the panel data of the enterprise technology patents of China's Top 100 Electronic Information Enterprises from 2009 to 2018. Multiple regression analyses were used to test the hypotheses.

Niche width has a significant positive impact on exploitative and exploratory innovation performance. Niche overlap has an inverted U-shaped effect on exploitative innovation performance and significantly positively affects exploratory innovation performance. Innovation openness negatively moderates the impact of niche width on exploitative innovation performance and positively moderates the impact of niche overlap on exploitative innovation performance.

This study provides new insights into the effects of enterprise niche on dual innovation performance by showing the moderating role of innovation openness. The study finds a strategic logic of moderate niche overlap, clarifies the innovative effect of different innovation openness modes and reveals the construction and management mechanisms of enterprise niche and innovation openness strategy.

The research in competitive facility location (CFL) is quite dynamic, both from a problem formulation and an algorithmic point of view. Research direction has changed immensely over the years to address various competitive challenges. This study aims to explore CFL literature to highlight these research trends, important issues and future research opportunities.

This study utilises the Scopus database to search for related CFL models and adopts a five-step systematic approach for the review process. The five steps involve (1) Article Identification and keyword selection, (2) Selection criteria, (3) Literature review, (4) Literature analysis and (5) Research studies.

The paper presents a comprehensive review of CFL modelling efforts from 1981 to 2021 to provide a depth study of the research evolution in this area. The published articles are classified based on multiple characteristics, including the type of problem, type of competition, game-theoretical approaches, customer behaviour, decision space, type of demand, number of facilities, capacity and budget limitations. The review also highlights the popular problem areas and dedicated research in the respective domain. In addition, a second classification is also provided based on solution methods adopted to solve various CFL models and real-world case studies.

The paper covers 40 years of CFL literature from the perspective of the problem area, CFL characteristics and the solution approach. Additionally, it introduces characteristics such as capacity limit and budget constraint for the first time for classification purposes.

The purpose of this paper is to describe the case of the Valorbio research project, in which students of different high-level programs were involved in the experimental work and in the dissemination of results in collaboration with the research team.

The inclusion in higher education curricula of content related to the sustainable development should be a preferred mechanism for the dissemination of good practices of sustainability. Another equally important way to achieve this is to involve students in research projects that seek solutions to the societal challenges related to sustainable growth. The Valorbio project aims to meet the needs for treating and reusing wastewater and solid waste. Its main goal was the development of modular systems for wastewater treatment based on constructed wetlands, exploring the possibility of the treatment systems being composed of solid waste and by-products from significant industrial sectors.

The students’ contribution to the research work was relevant and simultaneously allowed them to acquire skills on sustainable development. Additionally, the students contributed to the dissemination of the results. The Valorbio project can thus be considered a successful application of the concept of project-based learning (PBL), as a way to include sustainability issues content in the higher education curricula.

The applied experimental work had an original approach regarding the equipment design, the waste materials valuation, as well as the integration of waste treatment processes in the circular economy paradigm. This paper is the first reported PBL experience involving students of short-cycle technical–professional programs in partnership with first and second-level students and a research team.

The purpose of this study is to investigate the influence mechanisms of multi-level ecological participants on technological innovation capabilities within the focal small and mid-size enterprises' (SME) innovation ecosystem. The author examines the moderating role of the innovation ecological environment.

With the lenses of innovation ecosystem theory, technological innovation theory and ecological theory, the author constructs and empirically tests a conceptual framework for exploring the effects of the focal SME's connections with universities and research institutions, and the industrial chain and ecosphere on their independent and collaborative innovation capabilities. The innovation ecological environment is employed as a moderating variable in the proposed model. The author issued email questionnaires to managers at innovative SMEs in Shenzhen, Shanghai and Jiangsu provinces. The data were used for multiple regression analyses to test the hypotheses.

As predicted, the author found that SMEs’ cooperation with universities and research institutions positively affects independent and collaborative innovation capability. The relationships between the industrial chain, the ecosphere and independent and collaborative innovation capabilities are all inverted U-shaped. Additionally, the author demonstrates that the innovation ecological environment positively moderates relationships between the focal SME's ecological participants and these two types of technological innovation capabilities.

The results enrich research on innovation ecosystems and technological innovation capability and provide important managerial implications for Chinese SMEs to enhance their technological innovation capability by constructing and coordinating innovation ecosystems. It also allows China, as well as other developing countries, to cultivate world-class enterprises as an innovative nation.