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This study aims to work toward understanding the entrepreneurship ecosystem of agricultural social enterprises in the Philippines by exploring the interactions between policy, culture, supports and human capital domains.

The authors considered using an exploratory single-embedded case study approach, involving methodological triangulation of document analysis, semistructured interviews and participant observation. The authors analyzed the data using a narrative approach to map the ecosystem.

Through the research, the authors discovered that while each domain functions effectively individually, disconnects exist when interacting collectively as an ecosystem. The authors come to know that there is no policy consensus on social enterprise definitions, which limits specialized policy support. Although support services like incubators are available, the authors observed that awareness and accessibility vary based on location and business maturity. The authors also noted that human capital helps translate concepts into frameworks, but research tailored to agriculture and social entrepreneurship is limited. The authors come to the conclusion that collaboration and openness across domains are needed to strengthen connections and synergies.

The study was geographically limited to Luzon Island, and the authors did not include the finance and markets domains of the ecosystem model in the analysis.

Based on the findings, the authors identify strategies to reinforce connections, such as increasing awareness of support services, developing tailored policies for social enterprises, conducting specialized research and promoting collaboration across domains. The authors are convinced that implementing these strategies can further develop the agricultural social entrepreneurship ecosystem.

The study provides unique empirical insights into the agricultural social entrepreneurship ecosystem in the Philippines. The authors captured the narratives and experiences of key ecosystem stakeholders along the process. The authors have confidence that what the authors found can strategically guide policymakers and support organizations, educational institutions and social entrepreneurs to accelerate ecosystem development for greater social impact.

Against the backdrop of the global reshaping of supply chains, supply chain ecosystems have emerged as a critical force in ensuring the high-quality development of enterprises and fostering stable economic growth. However, a systematic theoretical understanding of how to construct these supply chain ecosystems remains nascent. This study aims to explore the mechanism of the process of building supply chain ecosystems between digital innovation platform enterprises and digital trading platform enterprises from the perspective of dynamic capabilities.

An explanatory case study is conducted based on a theoretical framework grounded on dynamic capabilities view. Two preeminent digital platform enterprises in China (Haier and JD.com) are studied. The authors primarily conducted this research by collecting a large volume of these Chinese public materials.

First, the construction processes of supply chain ecosystems in both digital platform enterprises can be delineated into three stages: embryonic, development and maturity. Second, digital innovation platform enterprises’ construction process is primarily influenced by factors such as production and operational collaboration, consumer demand and research and development. This influence is exerted through interactions on digital platforms and within sub-ecosystems. Meanwhile, digital trading platform enterprises’ construction process is influenced by factors such as infrastructure development, consumer demand and financial support, driving dynamic capability formation through multi-party cooperation and ecological interactions based on conceptual identity.

In the establishment of supply chain ecosystems, digital platform enterprises should prioritize the cultivation of opportunity expansion, resource integration and symbiotic relationship capabilities. Furthermore, this study shows that digital platform enterprises need to actively adjust their interactive relationships with cooperating enterprises based on changes in the market, industry, policies and their own developmental stages.

This study addresses prior deficiencies in understanding the comprehensive construction of supply chain ecosystems and provides significant insights to enhance the theoretical foundation of supply chain ecosystem studies. Additionally, this paper uncovers the dynamic capability development behaviors and contextual features inherent in the construction process of supply chain ecosystems by digital platform enterprises.

This paper takes the manufacturing cluster supply chain as the research object and explores the evaluation and enhancement strategy of manufacturing cluster supply chain synergy. The purpose of this study was to (1) analyze the mechanism of manufacturing cluster supply chain synergy; (2) construct manufacturing cluster supply chain synergy evaluation model; (3) algorithm realization of manufacturing cluster supply chain synergy evaluation and (4) propose manufacturing cluster-based supply chain synergy enhancement strategy.

Breaking through the limitations of traditional manufacturing cluster supply chain synergy evaluation, we take horizontal synergy and vertical synergy as coupled synergy subsystems, use the complex system synergy model to explore the horizontal synergy between core enterprises and cluster enterprises and the vertical synergy of supply chain enterprises and use the coupling coordination model to construct the coupled synergy evaluation model of manufacturing cluster supply chain, which is an innovation of the evaluation perspective of previous cluster supply chain synergy and also an enrichment and supplementation of the evaluation methodology. This is not only the innovation of the evaluation perspective but also the enrichment and supplementation of the evaluation method.

Using Python software to conduct empirical analysis on the evaluation model, the research shows that the horizontal and vertical synergies of the manufacturing cluster supply chain interact with each other and jointly affect the coupling synergy. On this basis, targeted strategies are proposed to enhance the synergy of the manufacturing cluster supply chain.

This study takes manufacturers, suppliers and sellers in the three-level supply chain as the research object and does not consider the synergistic evaluation between distributors and consumers in the supply chain, which can be further explored in this direction in the future.

Advanced manufacturing clusters, as the main force of manufacturing development, and the synergistic development of supply chain are one of the important driving forces for the high-quality development of China’s manufacturing industry. As a new type of network organization coupling industrial clusters and supply chains, cluster supply chain is conducive not only to improving the competitiveness of cluster supply chains but also to upgrading cluster supply chains through horizontal synergy within the cluster and vertical synergy in the supply chain.

Research can help accelerate the transformation and upgrading of clustered supply chains in the manufacturing industry, promote high-quality development of the manufacturing industry and accelerate the rise of the global value chain position of the manufacturing industry.

(1) Innovation of research perspective. Starting from two perspectives of horizontal synergy and vertical synergy, we take a core enterprise in the cluster supply chain as the starting point, horizontally explore the main enterprises of the cluster as the research object of horizontal synergy, vertically explore the upstream and downstream enterprises of the supply chain as the research object of vertical synergy and explore the coupling synergy of cluster supply chain as two subsystems, which provides new perspectives of evaluation of the degree of synergy and synergy evaluation. (2) Innovation of research content. Nine manufacturing clusters are selected as research samples, and through data collection and model analysis, it is verified that the evaluation model and implementation algorithm designed in this paper have strong practicability, which not only provides methodological reference for the evaluation of manufacturing cluster-type supply chain synergy but also reduces the loss caused by the instability of clusters and supply chains and then provides a theoretical basis for improving the overall performance of cluster-type supply chains.

The aim of this research is to elucidate the correlation between open innovation, digital strategies and networking in enhancing agricultural enterprises within the new perspective of Agrifood 5.0. As such, it contributes to making businesses more competitive, especially in the Italian agricultural sector, where small and medium-sized enterprises are highly fragmented. Numerous studies have asserted that the competitiveness of actors operating within a specific territory is closely linked to local identity and image enhancement. Agricultural organizations are undergoing a profound transformation, with technological assets emerging as catalysts for new synergies. Advanced technologies such as robotics, the Internet of Things (IoT) and automation (AI) are emerging as differentiating elements capable of further advancing the agricultural sector, transitioning it from Agrifood 4.0 to Agrifood 5.0. The empirical analysis of the research shows a positive correlation between a collaborative attitude and a propensity for innovation. Indeed, the data demonstrated that digital strategies and open innovation positively influence competitiveness in agricultural SMEs.

The methodology employed in this study is mixed, incorporating both qualitative and quantitative approaches. The quantitative aspect involves analysis of the dataset from the Italian Statistical Institute (ISTAT) through logistic regression, while the qualitative component entails analysis of semi-structured interviews conducted with a sample of 174 agricultural cooperatives in southern Italian regions (Campania). This approach allows for a comprehensive understanding of the research topic, capturing both numerical trends and nuanced insights from interviews.

After analyzing the data from the 7th General Census of Agriculture conducted by ISTAT, a clear understanding of the sector has emerged, revealing several potential research avenues. It is evident that innovation in the agricultural sector is often driven by the largest and best-capitalized production entities, primarily located in Italy. Conversely, smaller agricultural entities can benefit from networking as new technological assets act as catalysts for new synergies, innovation and competitiveness.

Enhancing the relational contribution within the network and humanizing a fragmented sector are crucial elements for promoting open innovation. Network structuring facilitates the transmission of managerial knowledge, contributing to an overall increase in the intellectual and relational capital of the agricultural sector. These factors, combined with open innovation, enhance the competitiveness of individual firms and elevate the brand of the entire sector, creating a conducive environment for transitioning toward Agrifood 5.0. This transition is characterized by increased interconnection, continuous innovation and overall prosperity. Specific studies on this topic are lacking in Italy, particularly in the southern regions. Therefore, this contribution focuses on investigating the Campania region.

The novelty of this study lies in its investigation of the relationship between agricultural enterprises and innovation in the context of enterprises networking strategies (i.e. associationism and/or cooperation), promoting competitiveness. The limitations of this study are related to the dimension of the sample selected and its relationship with other productive sectors.

A qualitative approach based on grounded theory was utilized, with data collected through 26 semi-structured interviews with social entrepreneurs. Alas’s Triangular Model provided the framework for data analysis and interpretation.

This study explores how Hong Kong social enterprises approached crisis and change management during the COVID-19 pandemic, examining their resilience-building strategies.

The pandemic triggered an existential crisis for many social enterprises, causing severe revenue losses. However, strong leadership and cultures based on social mission enabled resilience. Enterprises demonstrated agility by rapidly transitioning operations online and establishing partnerships. Technology adaptation and social innovation were pivotal to sustaining impact.

As the sample comprises enterprises that survived the pandemic, insights into failed enterprises are lacking. Comparative analysis could illuminate differences in crisis response between successful and unsuccessful cases.

The study’s practical implications suggest that social enterprises should focus on developing flexible crisis management plans, cultivating purposeful leadership, embracing digital transformation, strengthening collaborative networks and prioritizing organizational learning to effectively navigate crises while staying true to their social missions.

Findings demonstrate how shared values and cultures grounded in purpose can anchor organizations amidst upheaval, fostering resilience. This underscores the role of social enterprises in modeling responsiveness to societal needs.

While research has examined social enterprises’ vulnerability in crises, investigation into their crisis management practices is limited. This study enriches understanding of how social enterprises effectively navigate turbulence.

The COVID-19 pandemic has reduced much of the complexities of human life, which has affected the multifaceted socioeconomic dimensions and sectors around the world. One of the main consequences of the pandemic is the reduction in physical mobility and shifting toward a more digitally enhanced platform, where activities may be continued given the imposed physical limitations. Global supply chains were broken down into regional and even local ones and travel has been reduced significantly across leisure and nonleisure reasons, among others. While we recognize that these changes would require substantial capital and financial investments, these will not be put to waste given that emerging models, practices, and trends are the “silver linings” of the pandemic onto the tourism sector. Given that one emerging advocacy is the sustainability of tourism destinations under the backdrop of environmental awareness, care, and sustainable use, we also look at how tourism goods and services are put on sale given the adoption of new models. Finally, we envelope the pandemic experience and the induced iterations of local tourism initiatives as an opportunity to look for new and revitalized tourism innovations toward the “next normal.”

Based on imprinting theory and episodic future thinking, this paper aims to study how CEOs’ attributes and experiences inform innovation in tourism and hospitality businesses. It also explores ways to quantify innovation in this sector.

The authors quantitatively analysed innovation in tourism and hospitality using extensive data from companies’ annual reports. They further adopted multivariate regression to test how CEOs’ experience affects enterprise innovation.

Results demonstrate that CEOs’ academic education and rich work experience can promote corporate innovation. The authors also identified a mediating role of the tone of narrative disclosure in annual reports between CEOs’ academic education and corporate innovation. The imprinting effects of career experience and educational experience appear both independent and interactive.

CEOs are more inclined to engage in corporate innovation when influenced by the combined imprinting effects of strategic management training and work experience. Additionally, leaders should consider how communication styles indirectly influence innovation activities.

This paper introduces an integrated perspective that blends imprinting theory and episodic future thinking to bridge knowledge gaps regarding the interaction of CEOs’ past experiences. This work enhances understanding of how CEOs’ imprinted experiences, together with their capacity for envisioning future scenarios, can drive corporate innovation.

Enterprise resource planning (ERP) systems that are equipped with numerous features and functionalities help to improve the profitability of construction corporations around the world through enhancing the efficiency of the functions related to cost management. Thus, the purpose of this study was to investigate the applicability of ERP systems for cost management of building construction projects in Sri Lanka.

A qualitative technique was used in this study, which comprised two-round Delphi-based semistructured interviews. Purposive sampling was used to determine the interviewees. Content analysis was used to evaluate the collected data.

The findings of this study identified the ERP system as a strategic tool for gaining a competitive advantage for an organization while confirming 14 uses of ERP systems and 16 stages of the cost management process. Eighteen issues were finalized at the end of the interview rounds while categorizing the suitable ERP applications at each stage of the cost management process.

Even though there are numerous distinct studies conducted on cost management and ERP systems, there has been a lack of studies conducted on the synergy between these two areas that can be adapted for the building projects in the Sri Lankan context. Therefore, the findings of this study can bring a new paradigm to the Sri Lankan construction sector by influencing the adaption of correct ERP systems at numerous project stages by providing a competitive edge.

The study aims to understand the way metaverse might revolutionize the governance format – precisely the e-government concept – besides underlining the challenges leaving suggestive contours for further research in this realm.

An inductive research approach included the content analysis of relevant literature to identify patterns and generalize them into areas and approaches. Developing a conceptual framework seeks to systematically organize knowledge on metaverse government and provide an understanding of its contributions to enhancing the e-government maturity models.

The authors identified three general areas and approaches – content and data lifecycle management; platforms, tools and services; and infrastructure and computing resources – that shape how challenges of enterprise architecture layers should be resolved in a future research agenda. Integration of these government metaverse areas and approaches is linked with four enterprise architecture layers (technology, applications, data and business) that advance a new e-government meta stage of e-government maturity and the related challenges.

Hitherto, metaverse literature has hinged itself on the benefits and challenges of metaverse in the private sector. However, the exact dimensions have not been probed in the public sector and its e-government domain – the present study seeks to plug this gap.

Authorities have set up numerous security checkpoints during times of armed conflict to control the flow of commercial and humanitarian trucks into and out of areas of conflict. These security checkpoints have become highly utilized because of the complex security procedures and increased truck traffic, which significantly slow the delivery of relief aid. This paper aims to improve the process at security checkpoints by redesigning the current process to reduce processing time and relieve congestion at checkpoint entrance gates.

A decision-support tool (clearing function distribution model [CFDM]) is used to minimize the effects of security checkpoint congestion on the entire humanitarian supply network using a hybrid simulation-optimization approach. By using a business process simulation, the current and reengineered processes are both simulated, and the simulation output was used to estimate the clearing function (capacity as a function of the workload). For both the AS-IS and TO-BE models, key performance indicators such as distribution costs, backordering and process cycle time were used to compare the results of the CFDM tool. For this, the Kerem Abu Salem security checkpoint south of Gaza was used as a case study.

The comparison results demonstrate that the CFDM tool performs better when the output of the TO-BE clearing function is used.

The efforts will contribute to improving the planning of any humanitarian network experiencing congestion at security checkpoints by minimizing the impact of congestion on the delivery lead time of relief aid to the final destination.