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Construction fall-from-height accidents are not only caused by a single factor but also by the risk coupling between two or more factors. The purpose of this paper is to quantitatively analyze the risk coupling relationships between multiple factors and identify critical factors in construction fall-from-height accidents.

A cause analysis framework was established from the perspective of human, machine, material, management and environmental factors. The definition, the classification and the process of risk coupling were proposed. The data from 824 historical accident reports from 2011 to 2021 were collected on government websites. A risk coupling analysis model was constructed to quantitatively analyze the risk coupling relationships of multiple factors based on the N-K model. The results were classified using K-means clustering analysis.

The results indicated that the greater the number of causal factors involved in risk coupling, the higher the risk coupling value and the higher the risk of accidents. However, specific risk coupling combinations occurred when the number of their coupling factors was not large. Human, machine and material factors were determined to be the critical factors when risk coupling between them tended to pose a greater risk of accidents.

This study established a cause analysis framework from five aspects and constructed a theoretical model to quantitatively analyze multi-factor coupling. Several suggestions were proposed for construction units to manage accident risks more effectively by controlling the number of factors and paying more attention to critical factors coupling and management and environmental factors.

Green entrepreneurship (GE) is a novel concept in business and enhances environmentally friendly production and operation activities for “sustainable development” (SD). The aim of this study is to determine the drivers that contribute to the growth and success of “micro, small, and medium enterprises” (MSMEs) in the manufacturing sector in India. The study also examines the mutual and cause-and-effect relationships among these identified drivers.

The study used integrated research methodology and identified nine key drivers of GE (GEDs) through extensive literature reviews, theoretical perspectives (i.e. “resource-based view” (RBV), “natural resource-based view” (NRBV) and “critical success factor theory” (CSFT)), and expert opinions. Further, “total interpretive structural modeling” (TISM) and “matrice d'impacts croisés multiplication appliquée á un classment” (MICMAC) analysis are used here to develop a hierarchical model and cluster the drivers, and fuzzy “decision-making trial and evaluation laboratory” (fuzzy-DEMATEL) is used to develop causal relationships among the drivers. Further, a sensitivity analysis is conducted to ensure the robustness of the results.

Results indicated that green manufacturing and operation capability development, green business process management and attitudes toward developing sustainable business models significantly impacted GE and SD. The findings of this study help managers, policymakers, and practitioners gain an in-depth understanding of the drivers of GE.

The study considers a limited number of drivers and is specific to Indian manufacturing MSMEs only. Further, a limited number of experts from different enterprises are considered for data analysis. This study is also based on interrelationships and their relative importance based on multicriteria decision-making techniques. This study aids government decision-making, policy formulation and strategic decision-making for manufacturing businesses in achieving SD goals. In addition, this research also encourages green entrepreneurs to start eco-driven companies and facilitate the use of environmentally friendly goods to offset environmental challenges and accomplish sustainable development goals.

This study proposes an integrated methodology that will benefit managers, practitioners and others in developing strategies and innovations to improve and develop green practices. This study further helps with responsive, sustainable business development in various manufacturing MSMEs.

This study aims to enrich the field of entrepreneurial marketing (EM) by examining decision-making processes in the unique context of start-up ventures. To do so, it extends research on the distinct EM dimensions to the behavioral context by revealing how causation and effectuation principles shape entrepreneurs’ actions.

The study investigates EM behavior through 12 semi-structured interviews with 10 start-up founders and two founder associates in Germany. Use of established frameworks of the EM dimensions and causation/effectuation principles paves the way for an in-depth analysis. This methodology uncovers a distinct pattern of decision-making behaviors characterizing various activities within start-ups.

The findings show that causal logic prevails in start-ups’ EM, and effectual reasoning serves a complementary role. On the dimensional level, the findings reveal a predominant goal-driven focus on customer intensity and value-creation processes. Predictive logic guides opportunity focus, proactiveness and risk management, with nonpredictive behaviors providing adaptability. The principle of affordable loss is also evident in risk management. Finally, start-ups exhibit a blend of causal and effectual logic in innovativeness and resource-leveraging.

To the best of the authors’ knowledge, this study is the first to illuminate the interplay of behavioral logics in start-up firms’ EM by exploring the nuanced principles underpinning the decision-making processes of entrepreneurs. In doing so, it advances understanding of the marketing–entrepreneurship interface and enriches decision-making literature.

Businesses are increasingly called upon to support the improvement of society and the environment, and one way to do so is by expanding into international markets, particularly through exports. Despite the importance and recognised challenges of a global approach to sustainable value creation, sustainability research tends to focus on domestic contexts. This paper aims to identify the boundary conditions linking sustainable value creation practices with firm performance in the international context.

The authors merge the sustainable value creation and the international marketing literature to develop two propositions that capture the emerging nature of the field and the lack of concluding evidence regarding the link between international sustainable value creation practices and firm performance. The authors test these propositions empirically by analysing 519 responses to a survey of exporting firms in Portugal, using fuzzy-set qualitative comparative analysis.

The authors identify seven configurations that support sustainable value creation in an international context. These consist of varying levels of standardised and tailored offers, management experience and competitive intensity.

The identification of seven different configurations helps managers decide whether and how to innovate when pursuing sustainable value creation opportunities in international markets.

The authors propose that an effective way for governments to achieve national and transnational social and environmental agendas is to help businesses that pursue sustainable value creation to succeed in international markets. Given that four of the seven pathways to improve export performance that the authors identified require international management experience, the authors posit that an effective way to support the internationalisation of those businesses is through targeted training programmes and knowledge-sharing initiatives.

The authors respond to calls for research to integrate the sustainable value creation and the international marketing literatures, to identify how and when firms can create sustainable value creation in an international context and thus support the resolution of global, social and environmental problems. The finding that there are multiple configurations that support this goal explains why empirical evidence collected thus far is inconclusive and helps identify the boundary conditions of existing theory.

The purpose of this study is to explore the correlation between foreign direct investment (FDI) and carbon dioxide (CO₂) emissions in emerging economies, with a particular emphasis on Brazil, Russia, India, China and South Africa (BRICS) countries along with 10 the Organization for Economic Cooperation and Development nations.

This study uses quantitative research methods and econometric analysis to investigate the relationship between FDI inflows and CO₂ emissions in selected countries. Specifically, the research concentrates on assessing the impact of FDI on CO₂ emissions within the BRICS countries. By examining data spanning from 2000 to 2003, the study aims to shed light on the interaction between economic integration and environmental sustainability dynamics on a global scale.

The results of this study highlight notable contributors to CO₂ emissions within the BRICS countries, identifying Switzerland, Denmark and the UK as significant sources. These findings support the notion of a pollution haven, underscoring the influence of FDI in moulding environmental outcomes in developing economies.

Drawing from the study’s outcomes, suggestions are put forth to foster sustainable development strategies. It is recommended that BRICS nations prioritize the attraction of environmentally aware FDI to bolster efforts aimed at mitigating environmental harm.

This study adds to the ongoing discussion surrounding sustainable development by offering a concentrated analysis of how FDI influences CO₂ emissions within BRICS countries. Its novelty lies in questioning traditional assumptions about environmental accountability and emphasizing the necessity for cooperative endeavours between emerging and developed economies to effectively tackle global environmental issues.

Effective safety supervision plays a crucial role in ensuring safe production within coal mines. Conventional coal mine safety supervision (CMSS) in China has suffered from the problems of power-seeking, excessive resource consumption and poor timeliness. This paper aims to explore the Internet+ CMSS mode being emerged in China.

The evolution of CMSS systems underwent comprehensive scrutiny through a blend of qualitative and quantitative approaches. First, evolutionary game theory was used to analyze the necessity of incorporating Internet+ technology. Second, a system dynamics model of Internet+ CMSS was crafted, encompassing a system flow diagram and equations for various variables. The model was subsequently simulated by taking the W coal mine in Shanxi Province as a representative case study.

It was revealed that the expected safety profit from the Internet+ mode is 296.03% more than that from the conventional mode. The precise dissemination of law enforcement information was identified as a pivotal approach through which the Internet+ platform served as a conduit to foster synergistic collaboration among diverse elements within the system.

The outcomes of this study not only raise awareness about the potential of Internet+ technology in safety supervision but also establish a vital theoretical foundation for enhancing the efficacy of the Internet+ CMSS mode. The significance of these findings extends to fostering the wholesome and sustainable progress of the coal mining industry.

This research stands out as one of the limited studies that delve into the influence of Internet+ technology on CMSS. Building upon the pivotal approach identified, to the best of authors’ knowledge, a novel “multi-blind” working mechanism for Internet+ CMSS is introduced for the first time.

This paper explores the use of Dynamic Business Modeling for Sustainability (DBMfS) in healthcare management settings as a holistic approach to integrating economic, social, and environmental dimensions into the business formula of these complex organizations.

After framing sustainable value in healthcare in terms of organizational complexity, wicked problems, and emerging managerial challenges, the paper proposes and illustrates the DBMfS approach that adopts a systemic view of sustainable value in healthcare. According to a qualitative perspective, a single-case study of a maternity-related healthcare treatment is also described to explore the implications and limitations of using this approach to sustainable business modeling in healthcare organizations.

Findings show that, by embracing sustainability through DBMfS, healthcare organizations can improve operational efficiency, reduce waste (like energy, water, and medical supplies), and enhance cost-effectiveness, thus contributing significantly to societal well-being.

In recent years, the healthcare sector has faced numerous challenges and wicked problems, including escalating costs, resource constraints, and growing environmental concerns. As a result, the concept of sustainability has gained significant attention, thus calling scholars and practitioners to develop methods and tools able to integrate it into strategic management systems of healthcare organizations. By proposing the adoption of DBMfS in the healthcare sector, this paper contributes to feeding up the current debate.

This study aims to address the critical challenge of implementing lean manufacturing (LM) in emerging economies, where sustainability complexities on the production floor hinder production efficiency and the transition towards a circular economy (CE). Addressing a gap in existing research, the paper introduces a path analysis model to systematically identify, prioritize and overcome LM implementation barriers, aiming to enhance performance through strategic removal.

The authors used a mixed-method approach, combining empirical survey data with literature reviews to pinpoint key LM barriers. Using the grey-based Decision-Making Trial and Evaluation Laboratory (DEMATEL) along with the Network Knowledge (NK) method, they mapped causal relationships and barrier intensities. This formed the basis for developing a path simulation algorithm, integrating heuristic considerations for practical decision-making.

This analysis reveals that the primary barriers to LM adoption is the negative perception and inadequate understanding of lean tools and CE principles. The study provides a strategic framework for managers, offering new insights into barrier prioritization and overcoming strategies to facilitate successful LM adoption.

This research provides a strategic pathway for overcoming LM implementation barriers, empowering managers in emerging economies to enhance sustainability and competitive advantage through LM and CE integration. It emphasizes the significance of structured barrier management in the manufacturing sector.

This research pioneers a systematic exploration of LM implementation barriers in the CE context, making a significant contribution to the literature. It identifies, evaluates barriers and proposes a practical model for overcoming them, enriching sustainable manufacturing practices in emerging markets.

Prior research has extensively explored the dynamics of knowledge creation and transfer within entrepreneurial ecosystems (EEs). However, the research on knowledge integration within EEs, particularly by entrepreneurs, remains scant. Garnering and effectively using knowledge in such a dynamic and complex environment can provide entrepreneurs with a valuable asset for gaining a competitive advantage. To address this gap, this study aims to explore how entrepreneurs garner and capitalise on knowledge within the EE environment by using a transactive memory system lens.

This study is based on 26 semi-structured interviews with different actors and members of the same ecosystem – the northern Finnish health tech ecosystem. The data were analysed using the Gioia methodology.

This study results found that transactive memory processes (i.e. knowledge specialisation, credibility and coordination) and structures (i.e. differentiated-, shared- and meta-knowledge) influence knowledge organising in EEs.

This study provides a conceptual interplay between the EE and the transactive memory system’s processes and structures.

Since Industry 4.0 (I4.0) is a new idea in Bangladesh, this study supports I4.0 adoption. Companies struggle to implement I4.0 and fully profit from the fourth industrial revolution’s digital transformation due to its novelty. Although barriers to I4.0 adoption are thoroughly studied, the literature has hardly examined the many aspects that are crucial for I4.0 adoption in Bangladesh’s Ready-Made Garment (RMG) industry. So, the purpose of this study is to investigate the barriers of adopting I4.0 in relation to Bangladesh’s RMG industries to enhance the adoption of I4.0 by developing a framework. Ultimately, the goal of this research is to improve the adoption of I4.0 in Bangladesh.

Through a comprehensive analysis of the existing research, this paper aims to reveal the barriers that must be overcome for I4.0 to be adopted. For evaluating those barriers, a decision analysis framework based on the combination of Delphi technique and Decision-Making Trial and Evaluation Laboratory (DEMATEL) method has been developed. The use of DEMATEL has led to a ranking model of those barriers and a map of how the barriers are connected to each other.

The findings reveal that “I4.0 training”, “Lack of Motivation” and “Resistance to Change” are the most significant barriers for adopting Industry 4.0 in RMG sector of Bangladesh based on their prominence scores.

These findings will help the people who make decisions in the RMG industry of Bangladesh, such as company owners, managers and the executive body, come up with a plan for putting I4.0 practices into place successfully. The decision-making framework developed in this research can be utilized by the RMG industry of Bangladesh and other similar industries in developing countries to figure out how important each barrier is for them and how to get rid of them in order of importance.

As far as the authors are aware, there has not been a comprehensive study of the barriers inhibiting the adoption of I4.0 within the scope of Bangladeshi RMG industry. This work is the first to uncover these barriers and analyze them using the combination of Delphi technique and DEMATEL.