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The purpose of this study is to explore the potential impact of Industry 5.0 on businesses and management by integrating advanced technologies to develop smart cities (Society 5.0) and digital value chains, leading to Innovation 5.0 and triple bottom line sustainability. We propose an Organization Value Chain 5.0 model to describe the ecosystem interactions that leverage organizational innovative behavior through knowledge management.

Using a systematic literature review methodology, we conducted a comprehensive analysis of 968 Industry 5.0 articles, 297 Innovation 5.0 articles and 510 Society 5.0 articles from the WOS and Scopus databases. This analysis supports the development of our conceptual model.

This allowed us to propose the conceptual model for the new notion of Organization Value Chain 5.0 and its ecosystem components.

This study provides a detailed analysis of Industry 5.0, its technological elements and its relevance to creating Society 5.0, smart cities and digitalized value chains. It highlights the importance of stakeholder engagement and integration for effective digital industrial transformation.

This paper examines the role played by business cluster ecosystems and intellectual capital (IC) in achieving high-growth firm (HGF) status.

We draw our insights from the knowledge-based perspective and economic geography as a theoretical lens, which combined offer a more unifying understanding of how business cluster ecosystems and IC foster high growth entrepreneurship.

Drawing on a sample of 11,360 German incorporated firms across 80 clusters, we find that cluster ecosystems play a significant role in supporting firms to become HGFs. More specifically, being located in business clusters increases the likelihood of becoming HGFs by 2.2% to 4.49%. We also find that clusters with more productive firms in the ecosystems provide favorable conditions for member firms to achieve HGF status, while the impact of other cluster-specific conditions (high-tech cluster membership and multinational enterprise share in clusters) is less clear. Additional insights suggest that firm IC (investments in intangible assets) enables firms to achieve high growth status.

The findings of this paper hold theoretical and managerial relevance and shed more light on the impact of cluster-specific factors in the ecosystems and firm IC in achieving high growth entrepreneurship.

This paper is among the first of its kind to bring together three distinct literatures (HGFs, business clusters and IC) and utilize insights from each to derive a conceptual framework that links them in explaining high-growth entrepreneurship.

We examined the internationalization process of business promotion organizations. We focused on the key stages and strategies and how the networks formed during this process can support their partners, particularly SMEs, in facilitating international expansion.

The theoretical lens: We combined the experiential learning-commitment interplay of the Uppsala model with a similar mechanism focused on business network relationships. A qualitative methodology: We used it to explore the question and the various forms of embeddedness within networks, offering an in-depth examination, particularly in the challenging natural settings of a cluster organization in geographic information systems (GIS).

We found that the cluster organization’s internationalization began regionally, forging connections with clusters in the Nordic and Baltic countries and Europe. Over time, the cluster recognized the importance of innovation leadership, leading to the integration of its core competencies with complementary technologies from other global geospatial technology hubs.

The study fills research gaps by examining global linkages between regional clusters and international partners, focusing on external gaps. We explored how clusters can leverage global innovation systems and networks for matchmaking, capitalization and investment. Moreover, we addressed the need for more research on cross-cluster gaps and barriers to global market interaction. By providing insights into expanding beyond local interactions, the study enhances understanding of how clusters can increase the global reach and competitiveness of firms within them.

The platform established during the internationalization process was crucial, as SMEs within clusters often lack the resources, time and expertise to enter international markets alone. This platform helps SMEs overcome barriers such as size, resources and unfamiliarity with foreign markets.

The aim of this study is to provide an empirical investigation of the agricultural cluster’s economic, social and environmental values. By doing so, the authors aim to offer policymakers and decision-makers a strategic approach that promotes competitiveness and economic development through shared value.

The authors used AMOS software and applied structural equation modeling to achieve the study’s objectives. The study used this approach with path analysis through the Analysis of Moment Structures software.

The empirical results indicate that creating shared value (CSV) can enhance the agricultural sector’s competitiveness through clustering. Rather than enhancing competitiveness directly, CSV plays a crucial role in improving the relationship between clustering and competitiveness. The authors also examined Porter’s diamond of competitiveness and evaluated factors for creating a shared value strategy, such as factor conditions, demand conditions, related and supporting industries, strategy, structure, rivalry and the role of government.

This study focuses solely on the agricultural cluster in Qalqilya governorate and cannot be applied to other regions without additional research.

Ensuring that stakeholders in the agricultural sector are kept informed about the activities of the cluster and the benefits of their participation is crucial. Empirical findings and conclusions have demonstrated that a shared value strategy can enhance the competitiveness of this sector. To achieve this, institutions involved in developing the agricultural cluster must increase their efficiency and capacity. Consulting experts in this field and drawing on experiences from other countries can aid in achieving this goal. Additionally, enhancing farmers’ productivity should be a priority, and the Ministry of Agriculture can provide training and workshops to improve their skills and expertise.

This study suggests that Palestinian policymakers should establish effective partnerships between the government and the agricultural sector’s firms in Qalqilya to reinforce the cluster’s competitiveness. This strategy can stimulate competitiveness and promote economic and social development in Palestine.

The purpose of this paper is to identify different types of resource and capability configurations among Hungarian family and nonfamily firms and explore which compositions can be considered competitive. In a rivalrous, dynamic world, understanding which sets of resources and capabilities lead to a higher level of competitiveness is vital.

This paper is based on a quantitative competitiveness survey carried out between November 2018 and July 2019 in Hungary. The authors used the Firm Competitiveness Index (FCI) to measure competitiveness and the resource-based view (RBV) approach to understand which configurations of resources and capabilities are responsible for a higher level of competitiveness based on 32 variables. An exploratory factor and cluster analysis were conducted to analyze the ownership's effect on firm competitiveness. The final sample size contained 111 companies, of which 53 were identified as family and 58 as nonfamily firms.

Factor analysis reveals five factors determining resources and capabilities: “operational,” “leadership,” “knowledge management,” “transformation” and “networking.” Based on these factors, the cluster analysis identified five groups in terms of types of family and nonfamily firms: “Lagging capabilities,” “Knowledge-based leadership,” “Innovativeness and transformation-oriented management,” “Relationship-oriented management” and “Business operation-oriented management.” Results show that nonfamily businesses focus on operational and leadership capabilities, reaching a higher FCI than family businesses, which are likely to invest more in their networking, transformation and knowledge management capabilities.

By defining the different configurations family and nonfamily firms rely on to reach competitiveness, the paper applies an essential element to the Hungarian and Middle Eastern European contexts of family business research. The findings contribute to developing family business literature and point out specific resources and capabilities family firms should focus on to shift toward reaching a higher level of professionalization and competitiveness. The characterization of different types of competitiveness comparing family and nonfamily firms enables the firms to assess customized implications.

This study aims to systematise the links between firms’ strategies (corporate and business) and the cluster dynamics (through the cluster life cycle [CLC] perspective) and propose an integrative framework bridging firms’ strategic behaviour and cluster dynamics (CLC).

The methodology used is an integrative literature review, which provides a distinctive form of research.

The study identifies several links between firms’ strategies (corporate and business) and the cluster dynamics (CLC), namely: (1) firms’ strategies as a triggering factor of cluster evolution; (2) firms’ strategies and path's decline; (3) firms’ strategies and cluster’s renewal; (4) resilience strategies and the cluster life cycle; and (5) cluster’s features and firms’ strategies.

This study contributes to developing strategic management theory and cluster theory by bridging firms' strategies and cluster dynamics (CLC). It proposes a new conceptualisation of the impact of cluster dynamics on firms' strategic choices – firstly, it proposes a specific approach to identify the CLC; and secondly, it develops an integrative framework model that relates firms' strategies and each stage of the CLC. These are theoretical tools relevant for further advancements in this area of research, as they can be applied in studies of different clusters for validation, something that was not done.

The integrative framework is expected to be helpful to company managers, allowing them to design better strategies that account for dynamic cluster environments.

This study aims to fill this gap in the literature by systematising the links between firms' strategies (corporate and business) and the cluster dynamics (CLC).

This study reviews scholarly work in sustainable green logistics and remanufacturing (SGLR) and their subdisciplines, in combination with bibliometric, thematic and content analyses that provide a viewpoint on categorization and a future research agenda. This paper provides insight into current research trends in the subjects of interest by examining the most essential and most referenced articles promoting sustainability and climate-neutral logistics.

For the literature review, the authors extracted and sifted 2180 research and review papers for the period 2008–2023 from the Scopus database. The authors performed bibliometric and content analyses using multiple software programs such as Gephi, VOSviewer and R programming.

The SGLR papers can be grouped into seven clusters: (1) The circular economy facets; (2) Decarbonization of operations to nurture a climate-neutral business; (3) Green sustainable supply chain management; (4) Drivers and barriers of reverse logistics and the circular economy; (5) Business models for sustainable logistics and the circular economy; (6) Transportation problems in sustainable green logistics and (7) Digitalization of logistics and supply chain management.

In this review, fundamental ideas are established, research gaps are identified and multiple future research subjects are proposed. These propositions are categorized into three main research streams, i.e. (1) Digitalization of SGLR, (2) Enhancing scopes, sectors and industries in the context of SGLR and (3) Developing more efficient and effective climate-neutral and climate change-related solutions and promoting more environmental-related and sustainability research concerning SGLR. In addition, two conceptual models concerning SGLR and climate-neutral strategies are developed and presented for managers and practitioners to consider when adopting green and sustainability principles in supply chains. This review also highlights the need for academics to go beyond frameworks and build new techniques and instruments for monitoring SGLR performance in the real world.

This study provides an overview of the evolution of SGLR; it also clarifies concepts, environmental concerns and climate change practices, particularly those directed to supply chain management.

This review study aims to explore the prevalent paradoxes in digital transformation (DTN) of business and provide insights on how businesses can effectively navigate them.

The study conducts a systematic literature review, utilizing findings from a bibliometric analysis. A sample of 229 articles published in top-tier journals, retrieved from the Scopus database, is reviewed to identify nine clusters representing different sectors and paradoxes in DTN.

The review identifies and summarizes studies addressing the paradoxes that arise during DTN in various sectors. Scholars have analyzed the growing need for digital innovations and the benefits they bring, but this study aggregates high-quality research to address the gap in understanding prevalent paradoxes.

This study provides valuable insights into the paradoxes of DTN and offers guidance to businesses on effectively managing these challenges. It contributes to the existing literature by consolidating and presenting key research findings in this domain.

This study aims to investigate the dynamic nature of local economies through the lens of cluster life cycle (CLC) theory. The authors offer an original perspective on the comparison of the mature Old World wine industry and the growing New World one, viewed through the lens of the CLC aiming to understand the specific stage of cluster development for these regions. The authors aim to define the CLC dynamics of two world-renowned wine clusters, symbolizing these old and new world wine industries: Napa and Bordeaux.

The research adopts a case study approach, specifically analyzing the Bordeaux and Napa Valley wine clusters, using a CLC identification framework. This study integrates recent conceptual advances from evolutionary and institutional economic geography, incorporating a dynamic “path” approach to cluster development stages.

In examining Bordeaux, despite indications of maturity in the wine industry, the cluster displays signs of transformation, marked by reorganization, diversification and adaptation to new conditions, such as enotourism and technological clusters. In contrast, Napa Valley, while well established, exhibits characteristics of sustainment with stabilized business dynamics.

This study acknowledges its exploratory nature and the need for future empirical studies on various clusters to fully validate and refine the CLC identification framework.

The proposed CLC identification framework serves as a valuable tool for policymakers and companies by facilitating precise identification of cluster development stages. This tool enables stakeholders to better understand and address the specific needs and characteristics of clusters at different stages, enhancing the effectiveness of targeted interventions and support measures.

This research advances CLC theory by introducing the development trajectories of the Napa and Bordeaux clusters, analyzed independently of their dominant industries, using the CLC path identification model. This approach provides a fresh perspective on cluster evolution, enriching the theoretical framework with insights that transcend traditional industry-specific analysis. By enhancing the precision and relevance of cluster stage identification, this research offers a valuable guide for policymakers and cluster stakeholders, enabling them to better understand the dynamics of cluster development and intervene effectively at critical stages.