PLTS/ARAS-based financing risk resilience capability evaluation for fisheries enterprise: A case study of green transformation and upgrading.

Clearly delineating the key capabilities of organizational resilience for fisheries enterprises holds significant practical implications, as it can mitigate financing risks and foster the sustainable development of the fisheries industry. Based on the "dynamic capabilities perspective", this study constructs an analytical framework for the resilience capabilities of fisheries enterprises against financing risk. A hybrid method comprising the probabilistic linguistic term set, the decision-making trial and evaluation laboratory, and the additive ratio assessment is applied to a case study of Homey Group, examining the diverse pathways through which financing risk forms and impacts outcomes. The main findings are: (1) In the comprehensive assessment of the role of resilience capabilities in addressing the "Risk-Seeking-Decline Type" financing risk factors, market diversification and sustainable practices are accorded higher weights surpassing financial resources as the two most value-enhancing resilience capabilities. Enterprises characterized by a "Risk-Seeking-Loss Type" profile tend to assign higher weights to market diversification and technological infrastructure when evaluating financing risk resilience capabilities. (2) Regarding the key capabilities of organizational resilience, Homey Group possesses a weak risk management system for monitoring and evaluating significant risks and implementing control activities. (3) With regards to suggestions for improvement, it is advisable to delegate oversight of the risk identification process to a designated risk committee or specialists in risk management. The conclusions contribute to a deeper understanding of the nature and mechanism of resilience capabilities for fisheries enterprises and provides implications for risk management and sustainable development.

Preference of Chinese food production enterprises to government regulatory Information--A choice experiment approach.

In recent years, despite the fact that the Chinese government is closely monitoring food safety, the perception of food production enterprises is not obvious. The reason is that information asymmetry hinders the effective transmission of regulatory information to food production enterprises. In the present research, a choice test is conducted to explore the preference of decision-makers for the information on government regulations in 224 food production enterprises with violations. It is found out that the decision-makers of food production enterprises have a strong preference for the regulatory information released by local governments. With a preference for reference information, compared to those who violate the law just once, decision-makers in food production companies that have several infractions exhibit a high "reference dependence" mentality. Also, the preference of different decision-maker characteristics shows an evident heterogeneity, as does the preference of various enterprises for the regulatory information about food safety. It is recommended that the government should improve the mechanism of disclosing the information about food safety, and focus on tailoring the information to different types of enterprises.

Enterprise financial sharing and risk identification model combining recurrent neural networks with transformer model supported by blockchain.

The objective of this study is to investigate methodologies concerning enterprise financial sharing and risk identification to mitigate concerns associated with the sharing and safeguarding of financial data. Initially, the analysis examines security vulnerabilities inherent in conventional financial information sharing practices. Subsequently, blockchain technology is introduced to transition various entity nodes within centralized enterprise financial networks into a decentralized blockchain framework, culminating in the formulation of a blockchain-based model for enterprise financial data sharing. Concurrently, the study integrates the Bi-directional Long Short-Term Memory (BiLSTM) algorithm with the transformer model, presenting an enterprise financial risk identification model referred to as the BiLSTM-fused transformer model. This model amalgamates multimodal sequence modeling with comprehensive understanding of both textual and visual data. It stratifies financial values into levels 1 to 5, where level 1 signifies the most favorable financial condition, followed by relatively good (level 2), average (level 3), high risk (level 4), and severe risk (level 5). Subsequent to model construction, experimental analysis is conducted, revealing that, in comparison to the Byzantine Fault Tolerance (BFT) algorithm mechanism, the proposed model achieves a throughput exceeding 80 with a node count of 146. Both data message leakage and average packet loss rates remain below 10 %. Moreover, when juxtaposed with the recurrent neural networks (RNNs) algorithm, this model demonstrates a risk identification accuracy surpassing 94 %, an AUC value exceeding 0.95, and a reduction in the time required for risk identification by approximately 10 s. Consequently, this study facilitates the more precise and efficient identification of potential risks, thereby furnishing crucial support for enterprise risk management and strategic decision-making endeavors.

Digital transformation and enterprise low-carbon innovation: A new perspective from innovation motivation.

From the perspective of innovation motivation, low-carbon innovation is divided into substantive low-carbon innovation and strategic low-carbon innovation. On this basis, this study empirically investigates the impact and mechanism of digital transformation on enterprise low-carbon innovation using data from China's A-share listed enterprises from 2005 to 2019. The results show that digital transformation promotes the overall level of enterprise low-carbon innovation, substantial low-carbon innovation, and strategic low-carbon innovation, with a more significant impact on strategic low-carbon innovation. For enterprises with large-scale, belonging to high-monopoly industries and located in high-marketization regions, the promotion of digital transformation is more significant and facilitates strategic low-carbon innovation more than substantive low-carbon innovation. Based on the internal capability perspective, enhancing management capability, R&D capability, and environmental information disclosure capability are three important channels of digital transformation affecting low-carbon innovation.

Does digital-industrial technology integration reduce corporate carbon emissions?

The integration of digital technology and industrial technology emerges as a pivotal avenue for enterprises to attain Sustainable Development Goals (SDGs), promoting the transition towards a sustainable and green trajectory of development. The panel data utilized in this paper encompasses financial, operational, and carbon emission metrics of publicly listed companies in China from 2008 to 2019. This longitudinal dataset enables us to perform robust statistical analyses to evaluate the impacts of Digital-Industrial technology integration on carbon emission intensity over time. The results indicate that: (i) Digital-Industrial technology integration significantly reduces the carbon emission intensity of enterprises, the conclusion remains robust when subjected to endogeneity and sensitivity analyses. (ii) Digital-Industrial technology integration mainly reduces the marginal cost of production and enhances the accumulation of knowledge to reduce the carbon emission intensity of enterprises. (iii) Digital-Industrial Technology Integration manifests more pronounced effects in curbing carbon emissions in regions characterized by robust property rights protection and well-developed digital infrastructure. (iv) Further research finds that Digital-Industrial technology integration increases the green technology innovation and ESG (Environmental, Social, and Governance) performance of enterprises. The results of this study provide empirical evidence for the carbon emission reduction function of the Digital-Industrial technology integration, and also verify the positive externality impact of the Digital-Industrial technology integration on the enterprise green innovation and SDGs.

Preparing fertile ground: how does the quality of business environments affect MSE growth?

We study how the quality of local business environments helps explain growth outcomes of micro- and small enterprise microfinance clients by drawing on long-term nationwide administrative data and a policy shock in Cambodia. The staggered launch of special economic zones, which we link to positive shocks to the business environment on both the demand and supply side, leads to significantly increased employment in micro- and small enterprises (MSEs) located in these special economic zones (SEZs), compared to enterprises in contextually similar districts that are unexposed to an SEZ. Key channels explaining the improved growth outcomes include expanded access to external markets for the enterprises' goods and services, more dynamic labor environments, and improved credit terms and conditions. To broaden the relevance of our findings, we combine data from prominent empirical studies on microfinance and demonstrate how related business conditions identified in the enterprise growth literature help explain differences in client business outcomes found in their results. Policy implications are that a smaller but influential segment of microfinance borrowers significantly benefit from opportunities provided by improved local business environments and that governments and lenders can play active roles in facilitating the necessary improvements for such MSEs.

Financial access may not be fulfilling its real potential in low-income settings, unless coupled with the right opportunities in the business environment for micro- and small enterprises. We use Cambodia's special economic zones as a policy shock to study how the quality of local business environments help explain micro- and small enterprise microfinance clients' growth. We find that the SEZs generate large increases in employment for microfinance borrowers for both micro- and small enterprises. These increases are concentrated in locations where SEZs expand access to local markets and where there are more dynamic labor environments. The SEZs also lead the microfinance lender to improve credit terms, which contribute notably to improved enterprise outcomes. To broaden the relevance of our findings, we demonstrate how related sub-national business environment factors help explain different borrower outcomes found in extant studies that measure microfinance impacts. Policy implications are that an important subset of microfinance borrowers is able to seize opportunities provided by local business environments, and that national and subnational governments can play active roles in facilitating such improved business environments for micro and small enterprises.

Government-enterprise green collaborative governance and urban carbon emission reduction: Empirical evidence from green PPP programs.

The reliance solely on the government or enterprises to promote climate governance is contingent upon the vested interests of economic entities and the regulatory bodies' efficiency in governance. Can the model of government-enterprise green collaborative governance evolve into a long-term mechanism for addressing the climate crisis and achieving the goals of sustainable development? By crawling data on public-private partnerships (PPP), employing ChatGPT to identify green PPP projects, and building a generalized difference-in-differences framework based on the Guidance on Building a Green Financial System issued in 2016, this present study investigates whether the involvement of private capital in government-led environmental and climate governance can effectively facilitate government-enterprise green collaborative governance, thereby mitigating urban carbon emissions. The study finds government-enterprise green collaborative governance can significantly reduce urban carbon emissions. The conclusion remains valid even after several rounds of robustness tests, including removing the influence of pertinent climate policies, adjusting the settings of independent and dependent variables, and removing self-selection issues. Heterogeneity tests show, on the first hand, the carbon emission reduction effect of government-enterprise green collaborative governance differs due to the differences in the characteristics of green PPP(Pubic-private partnership) projects such as project return mechanism, project investment volume, and project cooperation term; on the other hand, the carbon emission reduction effect also shows heterogeneity with various urban characteristics such as geographical location, city type and city size. Mechanism tests indicate government-enterprise green collaborative governance affects urban carbon emissions mainly through structural effects, technological effects and co-investment effects. This paper offers a valuable framework for effectively promoting environmental and climate co-governance between governmental bodies and enterprises, while enhancing the market's role in resource benefit allocation within climate governance to mitigate the risks associated with climate change.

The Use of Big Data Analysis in Digital Empowerment of Sustainable Technological Innovation Management of Ecological Enterprises.

With the social economy's rapid progress and the popularization of environmental awareness, ecological enterprises have gradually become a crucial trend in the development of modern enterprises. This work intends to promote the development of ecological enterprises to a higher level. This work first analyzes the management mode of ecological enterprises in the context of big data in China. Then, it establishes various indicators to analyze the role of sustainable technological innovation in enterprise development and the impact of digital empowerment on enterprise development. Finally, this work takes China's manufacturing industry and ecological enterprises in Hubei Province as examples to summarize the digital empowerment of sustainable technological innovation management of ecological enterprises under the background of big data. The final result indicates that sustainable technological innovation significantly reduces ecological enterprises' resource consumption and waste emissions. Additionally, it has a significant positive effect on improving enterprise output value and economic benefits. The digital empowerment of enterprises has a significant driving effect on sustainable technological innovation, with a digital driving coefficient of 26. This work provides a feasible scheme for the specific application of big data analysis in the technology innovation management of ecological enterprises, including market demand analysis, environmental monitoring and governance, technology assessment and risk management. This work expounds the role of big data analysis technology in improving decision-making efficiency, optimizing resource allocation and enhancing the competitiveness of enterprises in the digital empowerment of ecological enterprises.

Vertical transport velocity of fine particles of aluminum smelter emissions.

In this study, the average values of vertical velocity of particles emitted from an aluminum smelter in the surface layer of the atmosphere were estimated using a semi-empirical method. The method is based on regression analysis of the horizontal profile of pollutants measured along the selected direction using moss bioindicators. The selection of epiphytic mosses Sanionia uncinata was carried out in 2013 in the zone of influence of a metallurgical industry enterprise in the city of Kandalaksha, Murmansk region. The concentrations of As, Si, Ni, Zn, Ti, Cd, Na, Pb, Co, K, Ba, Ca, Mg, Mn, Sr, Fe, Al, V, Cr, Cu were determined using atomic emission spectrometry. The conducted assessments showed that the average particle velocity toward the Earth's surface, when considering large spatial and temporal scales, is tens of times higher than gravitational settling velocities.

Celebrating 10 Years of the HIMSS-SIIM Enterprise Imaging Community and Enterprise Imaging Informatics.

In response to the growing recognition of enterprise imaging as a critical component of healthcare's digital transformation, in 2014, the Healthcare Information and Management Systems Society (HIMSS) and the Society for Imaging Informatics in Medicine (SIIM) signed a Memorandum of Understanding to form the HIMSS-SIIM Enterprise Imaging Community (HSEIC). At the time of the agreement, the two organizations decided to collaborate to lead enterprise imaging development, advancement, and adoption. This paper celebrates the past 10 years of the HSEIC's thought leadership, industry partnerships, and impact while also looking ahead to identify enterprise imaging challenges to solve in the next decade.

Report of the HIMSS-SIIM Enterprise Imaging Community Data Standards Evaluation Workgroup: Anatomic Ontology Assessment.

Previously, the lack of a standard body part ontology has been identified as a critical deficiency needed to enable enterprise imaging. This whitepaper aims to provide a comprehensive assessment of anatomical ontologies with the aim of facilitating enterprise imaging. It offers an overview of the process undertaken by the Health Information Management Systems Society (HIMSS) and Society for Imaging Informatics in medicine (SIIM) Enterprise Imaging Community Data Standards Evaluation workgroup to assess the viability of existing ontologies for supporting cross-disciplinary medical imaging workflows. The report analyzes the responses received from representatives of three significant ontologies: SNOMED CT, LOINC, and ICD, and delves into their suitability for the complex landscape of enterprise imaging. It highlights the strengths and limitations of each ontology, ultimately concluding that SNOMED CT is the most viable solution for standardizing anatomy terminology across the medical imaging community.

Transformation path and promotion countermeasures of aerospace enterprise management strategy based on industrial chain integration.

With the rapid development of the aerospace field, the uncertainty, technical difficulty, significant shortening of the development cycle, parallel development and other characteristics of aerospace engineering are increasingly prominent, making the research and development management of aerospace engineering face unprecedented challenges, and the strategic management transformation has become an effective way to cope with complex environments. Strategic management is the art of decision-making and management, a method of allocating direction, objectives, tasks, policies and resources for overall and long-term development over a specific period of time. This paper not only studied the transformation path and improvement countermeasures of the management strategy of aerospace enterprises, but also studied the internal environment of the aerospace management strategy, the improvement mechanism of strategic leadership and the improvement countermeasures on the basis of integrating the industrial chain. Innovation in aerospace business models could then be promoted, and limited resources could be effectively integrated and allocated. Research and management capabilities could also be continuously improved, as well as the core competencies of aerospace enterprises, so as to ensure their long-term development. Taking the application and employment status of the aerospace profession, the education level of the personnel of aerospace enterprises, the proportion of each link of the industrial chain in the market size, the amount of aerospace technology imports, the market size and growth rate as the survey contents, the experiment showed that the amount of aerospace technology imports with the integration of the industrial chain has decreased by about 8.3 %.

Research on the mechanism of government subsidy on enterprise innovation based on industry-university-research collaboration.

This paper provides a theoretical and empirical examination of the relationship between government subsidies, enterprise innovation, and Industry-University-Research (IUR) collaboration. The study begins with a theoretical analysis of the impact of government subsidies on IUR collaboration and enterprise innovation, employing a dynamic game model. Secondly, the research sample comprises A-share listed enterprises in China, and the theoretical findings are validated through empirical methods. Moreover, this study investigates the mediating influence of IUR collaboration and the heterogenous impacts of government subsidies. Research has shown that government subsidies can facilitate enterprises in establishing IUR collaboration, enhancing the extent of IUR collaboration, and effectively stimulating enterprises to participate in innovation. Government subsidies have a more pronounced impact on non-state-owned enterprises, high-tech enterprises, and enterprises in eastern regions in terms of incentivization. By enhancing IUR upgrade, government subsidies can offset the shortcomings in limited Research and Experimental Development (R&D) funding and inadequate technical reserves of non-high-technology enterprises. This could result in an improvement in the quality of innovation and the performance of the subsidized enterprises.

A meta-analysis of the causal interpretation of enterprise green innovation: A structural theoretical model.

The escalating environmental challenges have compelled corporations to embark on green innovation initiatives, establishing this as a pivotal strategy for attaining economic sustainability. Yet, there remains a lack of consensus within the scholarly community regarding the precursors and outcomes of green innovation. This research leverages Giddens' structuration theory and employs meta-analytical methods to elucidate the determinants and effects of corporate green innovation. Initially, the study synthesizes 288 effect sizes from 161 distinct scholarly articles, spanning from 2012 to early 2023, guided by the structuration framework. This comprehensive analysis corroborates the influence of several structuration theory antecedents on green innovation, thereby offering fresh empirical backing for the theory. Subsequently, it scrutinizes the link between green innovation and its impacts, evaluated through economic and environmental performance lenses. Furthermore, the research contrasts the meta-analytical findings across large-scale and smaller enterprises, underscoring notable disparities in the dynamics of green innovation across different organizational contexts. This inquiry not only reaffirms the theoretical constructs of structuration theory, such as spatialization, subjectification, and structuration, but also integrates these notions with quantifiable variable models. The paper posits that structuration theory could underpin a theoretical framework for dissecting the influential variables associated with green innovation, thereby fostering further academic investigation into corporate environmental innovation.

Innovation and entrepreneurship of Chinese returning migrant workers in their home region.

This study aims to investigate the influence of pre-entrepreneurial career mobility frequency and job changes among returning migrant workers (RMWs) on the innovation level of enterprises, with a particular focus on the mediating role of urban social capital accumulated by RMWs. Using data from the "current entrepreneurial status of RMWs", we applied an ordered probit model to validate our hypotheses. To address endogeneity, a recursive bivariate probit model was used, and stepwise regression combined with bootstrap methods was employed to ascertain the mediating influence of urban social capital. Our results demonstrate a significant positive correlation (P < 0.01) between pre-entrepreneurial career mobility frequency and the innovation level of enterprises among RMWs. However, there's a notable negative correlation (P < 0.01) between experiences as elementary workers and enterprise innovation level, while technical and marketing roles correlate positively (P < 0.01) with enterprise innovation level. Urban social capital mediates the relationship between career mobility and enterprise innovation level, suggesting that career mobility enhance urban social capital accumulation, influencing RMWs' enterprise innovation levels. This empirical evidence holds even after robustness tests. We further observed that RMWs with fewer than three career moves lean towards low level of enterprise innovation, while those with three or more gravitate towards high level of enterprise innovation. This study advances the theory of career mobility and enriches the understanding of enterprise innovation levels. Additionally, it provides critical theoretical insights for prospective RMWs entrepreneurs in strategizing their career mobility and job changes. Policy implications suggest that, in addition to providing entrepreneurial support, the government should facilitate pre-entrepreneurial career mobility channels for migrant workers and consider the transition from rural to urban employment as a socialized ritual for RMWs engaging in entrepreneurship.

Enhancing Serious Game Design: Expert-Reviewed, Stakeholder-Centered Framework.

BACKGROUND: Traditional serious game design methods often overlook stakeholder needs. This study integrates stakeholder theory and enterprise architecture (EA), along with the Architecture Development Method, to propose a novel framework for serious game design. Crafted to aid practitioners, researchers, and specialists in leveraging resources more effectively, the framework is validated through a design science research methodology. Expert reviews have further refined its features, making it a robust tool for enhancing serious game design and implementation. OBJECTIVE: This paper introduces a framework for designing serious games, covering stakeholder analysis, requirements gathering, and design implementation planning. It highlights the importance of expert review in validating and refining the framework, ensuring its effectiveness and reliability for use in serious game design. Through critical assessment by experts, the framework is optimized for practical application by practitioners, researchers, and specialists in the field, ensuring its utility in enhancing serious game development. The next step will be to validate the framework empirically by applying it to a serious game development project. METHODS: We developed and validated a conceptual framework for serious game design by synthesizing stakeholder theory and EA through literature review, concept mapping, and theory development by way of a design science research approach. The framework is iteratively refined and validated via expert review, drawing on insights from professionals experienced in serious games, stakeholder theory, and EA. This method ensures the framework's practical relevance and effectiveness in addressing real-world design challenges. RESULTS: An expert review by 29 serious game practitioners validated the framework's success in stakeholder management, confirming its stakeholder-centered effectiveness. Although the experts praised its structured approach, they suggested clearer guidance for game design elements. In addition, the experts, while acknowledging the framework's complexity, saw its depth as valuable for efficient management. The consensus calls for a refined balance between detailed functionality and user-friendly design, with the framework's impact on stakeholder capabilities revealing a spectrum of professional needs. CONCLUSIONS: This paper presents a framework for creating effective and organizationally aligned serious games. Evaluated across execution, practical, and EA levels, it is logical but varies in ease of understanding, with experts calling for more accessibility at the EA level. It enhances stakeholder efficiency and management but is criticized for rigidity and a need for flexibility. Recommendations include streamlining the framework, enhancing clarity, reducing administrative tasks, and incorporating clear guidelines on technology use, motivational elements, and operational tools. This aims to help stakeholders produce more targeted and adaptable game designs. The next iteration will be developed after application to a project and team feedback.

Economic policy uncertainty and enterprise export resilience in China: Does the digital economy matter?

In the new era of international trade, escalating uncertainty and the swift development of the digital economy stand out as two pivotal transformations. These phenomena individually exert significant influences on enterprises' exports; however, their combined effects on export resilience remain underexplored. Hence, drawing on existing theories, this paper analyzes the weakening effect of economic policy uncertainty on export resilience and explores the influence of regional digital economic development on this attenuation effect. Furthermore, empirical tests are conducted using micro-level data from China. The study findings reveal: (1) Economic policy uncertainty weakens firms' export resilience by increasing transaction costs; (2) Digital economic development mitigates this weakening effect by reducing transaction costs, with a more pronounced effect observed among highly efficient firms. The findings suggest that amid escalating uncertainty, vigorously promoting digital economic development holds profound policy significance for the high-quality development of international trade.

Faecal egg counts in Australian pasture-based dairy herds.

In Australian pastoral dairy systems, a variety of 'routine' anthelmintic programs are used in lactating cows varying from nil anthelmintic use to bi-annual application. Anthelmintic resistance has been repeatedly diagnosed on dairy farms and studies have indicated variable milk production benefits from anthelmintics internationally. We aimed to identify the predominant gastrointestinal parasites in recently calved dairy cows in south-west Victoria and examined the relationship between individual faecal egg counts (FEC) and other cow and management factors such as body condition score, age, and historical anthelmintic use. This study included 18 pasture-based dairy farms in south-west Victoria. FECs were measured in recently calved primiparous and multiparous cows. Individual FEC tests with a minimum detectable FEC of 2.5 eggs per gram of faeces (epg) and group larval cultures were completed. Farm management data and cow information was recorded for data analysis with the Jamovi statistical package. Overall, 35% of all cows had FEC ≥ 2.5 epg (26% of multiparous and 45% of primiparous). Ostertagi ostertagi was the predominant gastrointestinal nematode in all cohorts. Cooperia pectinata or C. punctata were also present in mixed infestations alongside C. oncophora. Multiparous cows in low body condition score post calving (<4) were more likely to have a FEC of >5 epg. Faecal egg counts at a minimum detectable FEC of 2.5 epg are effective indicators of parasitism in recently calved primiparous and poorly conditioned multiparous dairy cows. Increasing the test sensitivity (minimum detectable count) of FECs from 10 epg to 2.5 epg resulted in increasing the overall positive FEC rate from 15% to 35%. Further investigation of sensitive FECs and their relevance to production along with the timing and value of anthelmintic use in dairy cattle is warranted.

Decoding enterprise digital transformation: External oversight and carbon emission reduction performance.

Enterprise digital transformation (EDT) is a strategic initiative that provides robust support for optimising resource allocation, fosters business innovation, and significantly impacts ecological environment to increase financial performance. This study re-examines the substantial contributions of EDT to climate change mitigation. Drawing on data from Chinese A-share listed companies from 2010 to 2021, we investigated the changes and mechanisms influencing carbon emissions reduction performance (CERP) of enterprises undergoing digital transformation. The empirical results indicate that EDT actively contributes to enhancing the CERP of enterprises, with a more pronounced effect observed in non-polluting industries, state-owned enterprises, and manufacturing companies. Furthermore, empirical findings from mechanism tests reveal that EDT effectively improves the CERP by driving green technological innovation, strengthening industry chain connections, and enhancing capacity utilisation. Finally, within external oversight groups, particularly in government and investor supervision, the enhancement of enterprise CERP is more significant, highlighting the crucial role of external oversight in the EDT process.

The effects of different types of organisational workplace mental health interventions on mental health and wellbeing in healthcare workers: a systematic review.

OBJECTIVE: To determine if and which types of organisational interventions conducted in small and medium size enterprises (SMEs) in healthcare are effective on mental health and wellbeing. METHODS: Following PRISMA guidelines, we searched six scientific databases, assessed the methodological quality of eligible studies using QATQS and grouped them into six organisational intervention types for narrative synthesis. Only controlled studies with at least one follow-up were eligible. RESULTS: We identified 22 studies (23 articles) mainly conducted in hospitals with 16 studies rated of strong or moderate methodological quality. More than two thirds (68%) of the studies reported improvements in at least one primary outcome (mental wellbeing, burnout, stress, symptoms of depression or anxiety), most consistently in burnout with eleven out of thirteen studies. We found a strong level of evidence for the intervention type "Job and task modifications" and a moderate level of evidence for the types "Flexible work and scheduling" and "Changes in the physical work environment". For all other types, the level of evidence was insufficient. We found no studies conducted with an independent SME, however five studies with SMEs attached to a larger organisational structure. The effectiveness of workplace mental health interventions in these SMEs was mixed. CONCLUSION: Organisational interventions in healthcare workers can be effective in improving mental health, especially in reducing burnout. Intervention types where the change in the work environment constitutes the intervention had the highest level of evidence. More research is needed for SMEs and for healthcare workers other than hospital-based physicians and nurses.