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In the era of the digital economy, the digital innovation ecosystem is an important vehicle to alleviate enterprises' resource and capability constraints and thus improve their digital innovation performance. Embedding digital innovation ecosystems for survival and development opportunities has become a new strategic choice for enterprises. However, how digital innovation ecosystem embeddedness affects the digital innovation performance of complementary enterprises has not yet been fully revealed. This study examines whether digital innovation ecosystem embeddedness affects the digital innovation performance of complementary enterprises through ambidextrous capabilities (exploration and exploitation) and the moderating role of strategic flexibility.

A field survey was conducted in China, collecting survey data from 578 complementary enterprises in advanced manufacturing industries embedded in digital innovation ecosystems. This study applies multiple regression analysis to verify the relevant hypotheses.

The results confirmed that (1) digital innovation ecosystem embeddedness has a significant positive effect on complementary enterprises' digital innovation performance; (2) Ambidextrous capabilities play a partial mediating role in the relationship between digital innovation ecosystem embeddedness and complementary enterprises' digital innovation performance. (3) Strategic flexibility positively moderates the effect of digital innovation ecosystem embeddedness on ambidextrous capabilities and digital innovation performance.

The findings, intended to guide enterprises that complement the digital innovation ecosystem to achieve digital innovation and performance improvement, highlight the importance of eco-embedded strategies, ambidextrous capabilities and strategic flexibility.

The finding enriches antecedent research on digital innovation performance and provides practical insights for firms to embed themselves in digital innovation ecosystems to improve performance.

Through a case study for Iran, this research seeks to pinpoint the dominant causes of delay and cost overruns in two standard Support of Excavation methods (Bracing strut and top-down construction) in deep excavation projects from various points of view involving contractors, consultants and owners. This investigation identifies the root causes, compares them with existing literature to find similarities and differences with tunnelling and construction projects and proposes practical solutions.

The primary factors were identified after an extensive literature review and expert interview. Subsequently, a questionnaire was designed to classify related factors, considering impact indices, occurrence likelihood and overall significance. Eventually, the findings of the analysis were visually represented through cause-and-effect diagrams.

The results indicate that “inflation and exchange rate fluctuation” is the top-rated cause, followed by designers’ limited overall perspective of implementation issues. Also, comparing the roles of related teams shows that the contractor sector is the most responsible for delay and overruns in both methods. Finally, practical solutions are presented regarding the main affecting factors.

Prior research often addresses delay and costs in construction, but insufficient focus is given to deep excavation projects, particularly in Iran. This study not only fills the identified knowledge gap but also delves into the causes of delay, pursued until the fourth bone in some cases and proposes a solution framework derived from previous research, case studies and expert insights to mitigate construction delay.

This study aims to explore whether organization modularity affects the operation performance of manufacturing firms through the mediator of digital embeddedness and the moderator of organization compatibility.

Hierarchical regression, mediation effect test macro and bootstrap were conducted to empirically analyze two waves of longitudinal survey data from 284 Chinese manufacturing firms.

Digital embeddedness (digital technology, digital infrastructure and digital culture) mediates the relationship between organization modularity and operation performance. In addition, organization compatibility positively moderates the relationship between the three types of digital embeddedness and operation performance. Under a high organization compatibility degree, digital embeddedness has a positive impact on operational performance, but under a low organization compatibility degree, its impact is negative.

Organizational modularity is an important measure for manufacturers to gain competitive advantages, especially in the industrial transformation driven by the digital economy. Manufacturers need to realize modularity immediately and consider the compatibility of digitalization so that they can embed digital technology more flexibly and adaptively and gain operational advantages.

This study is very relevant for industrial manufacturers, as they urgently need to know how to gain competitive advantages through organizational change in digital transformation. This study provides many reliable theoretical guidelines. Specifically, this study tells manufacturers how to better realize digital embedding and performance through modularity and how to improve the compatibility between digitalization and organization.

In the digital economy era, digital platforms are vital infrastructure for innovation subjects to perform digital innovation activities. Achieving efficient and smooth knowledge transfer between innovation subjects through digital platforms has become a novel research subject. This study aims to examine the knowledge transfer mechanism of digital platforms in the digital innovation ecosystem through modeling and simulation to offer a theoretical basis for digital innovation subjects to acquire digital value through knowledge-sharing and thus augment their competitive advantage.

This study explores the optimal symbiotic interaction rate between different users based on the classic susceptible-infected-removed (SIR) model. Additionally, it constructs a knowledge transfer mechanism model for digital platforms in the digital innovation ecosystem by combining the theories of communication dynamics and symbiosis. Finally, Matrix Laboratory (MATLAB) software is used for the model and numerical simulation.

The results demonstrate that (1) the evolutionary path of the symbiotic model is key to digital platforms' knowledge transfer in the digital innovation ecosystem. In the symbiotic model, the knowledge transfer path of digital platforms is “independent symbiosis—biased symbiosis (user benefit)—reciprocal symbiosis,” aligning with the overall interests of the digital innovation ecosystem. (2) Digital platforms' knowledge transfer effects within the digital innovation ecosystem show significant differences. The most effective knowledge transfer model for digital platforms is reciprocal symbiosis, whereas the least effective is parochial symbiosis (platform benefit). (3) The symbiotic rate has a significant positive impact on the evolutionary dynamics of knowledge transfer on digital platforms, especially in the reciprocal symbiosis model.

This study's results aid digital innovators in achieving efficient knowledge transfer through digital platforms and identify how symbiotic relationships affect the knowledge transfer process across the ecosystem. Accordingly, the authors propose targeted recommendations to promote the efficiency of knowledge transfer on digital platforms.

This study examines how board characteristics influence air, water and renewable energy (AWR) disclosures in an emerging economy. It argues for the necessity of separating these disclosures to address unique environmental impacts and stakeholder concerns.

Using longitudinal data from environmentally sensitive firms (2014–2022), a disclosure index based on the Global Reporting Initiative (GRI) framework was developed to quantify AWR separately. To address potential statistical issues such as endogeneity and selection bias, the analysis employed a set of robust regression models, including the industry fixed effects (FE) model, a lagged model and a two-stage least squares (2SLS) model.

Board size and audit committees positively influence all AWR disclosures, while foreign directors significantly impact air and renewable energy disclosures. Board meetings negatively affect water disclosures. Surprisingly, board independence shows no significant impact, and gender diversity has no notable relationship. Post-amendment, firms increased AWR disclosures, though participation remains limited.

Grounded in legitimacy theory, this study contributes to the literature by demonstrating how separating the unique characteristics of AWR disclosures offers stakeholders more precise insights into how firms manage specific environmental concerns. The findings are based on data from listed firms in Bangladesh and may not be generalisable to unlisted firms or other regions.

The study emphasises the importance of distinct AWR reporting, offering valuable insights for regulators and corporate boards to improve transparency and sustainability practices.

Separating AWR disclosures provides stakeholders with clearer assessments of firms' environmental performance, promoting accountability and informed decision-making.

This study uniquely emphasises the need for disaggregating air, water and renewable energy disclosures in emerging economies. By focussing on each environmental issue separately, the research highlights how distinct disclosures offer clearer insights into how firms address specific environmental challenges, such as air pollution, water management and the transition to renewable energy sources. This disaggregation is essential for stakeholders – particularly regulators, investors and policymakers – to assess and respond to firms' sustainability efforts accurately.

This study explores how the high-end equipment manufacturing industry (HEMI) achieves intelligent development through the digital innovation ecosystem. While this industry urgently needs to achieve intelligent development through innovation breakthroughs, existing research lacks a deep analysis in conjunction with the digital innovation ecosystem. Considering the sophisticated nature of HEMI and the unique characteristics of the digital innovation ecosystem, this paper aims to uncover the innovation potential and synergetic development opportunities that arise from their integration.

This study uses Dynamic Qualitative Comparative Analysis (QCA) to explore the evolving relationship between the digital innovation ecosystem and intelligent development in HEMI enterprises. Data from 60 HEMI enterprises were collected from 2015 to 2022, and the study window was divided into two-year intervals for analysis. Compared to traditional QCA methods, this approach overcomes the limitations of cross-sectional analysis, fully accounting for time’s influence on causal relationships for more accurate results.

The study reveals that the digital innovation ecosystem of HEMI drives intelligent development through the coordinated interactions of its elements within each time window. Configuration paths and key driving factors evolve dynamically, reflecting the complexity of the ecosystem’s role in driving intelligent development. The study suggests that enterprises dynamically adjust their strategies to different stages, enhancing the effectiveness of intelligent transformation.

The paper proposes and validates a digital innovation ecosystem framework for HEMI, systematically exploring its role in driving intelligent development. The study fills a research gap and extends innovation ecosystem theory by identifying core driving factors and their evolutionary trends through Dynamic QCA. It offers a new perspective on the dynamic role of digital innovation ecosystems in intelligent transformation.

Sustainable development is inseparable from rational and responsible use of resources and promotion of green entrepreneurship. The contemporary green development agenda encompasses climate, economic, technical, social, cultural, and political dimensions. International efforts to greening the global development are conducted by the major economies, including China as the world’s largest consumer of energy and the biggest emitter of greenhouse gases. China is aware of its environmental problems, as well as of its part of the overall responsibility for the accomplishment of the sustainable development goals. By means of the decarbonization efforts, the latter are integrated both into the national development agenda (the concept of ecological civilization) and China’s international initiatives (the greening narrative within the Belt and Road Initiative). Over the past decade, China has made a breakthrough on the way to promoting green entrepreneurship and greening of its development (better quality of air and water, renewable energy, electric vehicles, and organic farming). On the other hand, emissions remain high, agricultural land loses productivity, and freshwater resources degrade due to climate change. In conventional industries (oil, coal mining, and electric and thermal energy), decarbonization faces an array of impediments. In this chapter, the authors summarize fundamental provisions of China’s approach to building an ecological civilization and measures to reduce emissions and achieve the carbon neutrality status within the nearest decades. The analysis of obstacles to the decarbonization of the economy and possible prospects for the development of green entrepreneurship summarizes China’s practices for possible use in other countries.

This study aims to explore the roles of Zhongyong and political efficacy on citizens’ intention to use digital government platforms for e-participation (i.e. e-participation intention). Zhongyong is a dialectical way of thinking that influences Chinese behavioral intentions and approaches. Political efficacy is a predictor of traditional political participation. Both of them have not been adequately investigated in this digital era, particularly regarding e-participation in digital government platforms. Therefore, this study investigates their relationships.

A quantitative model is constructed to examine the relationship between Zhongyong and citizens’ e-participation intention (internal and external) political efficacy serves as a mediator. An online questionnaire gathered 345 responses from three representative provinces of China (i.e. Guangdong, Jiangxi and Shanxi). Partial least square structural equation modeling (PLS-SEM) was adopted and executed with Smart PLS 4.0 to analyze the data.

Zhongyong and (internal and external) political efficacy can positively influence citizens’ e-participation intention. Moreover, (internal and external) political efficacy mediates the relationship between Zhongyong and citizens’ e-participation intention.

This research focuses on Chinese culture Zhongyong and surveyed Chinese citizens, thus is limited to the Chinese context. Second, this study used cross-sectional data. Third, this study only investigated two factors’ effects on e-participation, i.e. Zhongyong and political efficacy.

The findings provide multifaceted strategies for improving citizens’ adoption of digital government platforms for e-participation. Incentive policies to boost citizens’ (internal and external) political efficacy can be launched. To achieve broader citizen participation, a participative culture can be cultivated based on Zhongyong.

This study constructs a novel model that innovatively links Zhongyong thinking, political efficacy and e-participation intention. The results underscore the importance of Zhongyong culture and political efficacy in increasing citizens’ e-participation intention.

A binary-tree subdivision method (BTSM) for numerical evaluation of weakly singular integrals with discontinuous kernel in the three-dimensional (3D) boundary element method (BEM) is presented in this paper.

In this method, the singular boundary element is split into two sub-elements and subdivided recursively until the termination criterion is met and the subdivision is stopped. Then, the source point is surrounded by one or more spherical cavities determined by the discontinuous kernel function. The sub-elements located in spherical cavities will be eliminated, and the regular triangular or rectangle elements are employed to fill the spherical cavities.

With the proposed method, the obtained sub-elements are automatically refined as they approach the source point, and they are “good” in shape and size for standard Gaussian quadrature. Thus, the proposed method can be used to evaluate singular integrals owing discontinuous kernel function accurately for cases of different element shapes and various source point locations.

Numerical examples show that the BTSM is suitable for planar and curved elements of arbitrary regular or irregular shape at various source point locations, and the results have much better accuracy and robustness than conventional subdivision method (CSM) when the kernel function is discontinuous.

The contractor’s design behavior in engineering procurement construction (EPC) mode plays a decisive role in controlling design risks, ensuring construction quality and improving project value in terms of project performance. Organizational control is an important way to intervene and strengthen organizational behavior. Reasonably arranging organizational control of the design projects in EPC mode will greatly affect the contractor’s design behavior choices and achieve project goals. There are few existing studies that focus on the contractor’s classification design behavior management from the perspective of two-tier cross-domain control of the design projects in EPC mode. To fill the knowledge gap, this study explores how the two-tier cross-domain control linkage effect affects the contractor’s design behavior choice of the design projects in EPC mode through a configuration analysis.

This study selects five antecedent variables from the perspective of two-tier cross-domain control (including inter-organizational and intra-organizational controls) through literature review. This study collected 290 valid responses from the design projects in EPC mode practitioners through a questionnaire survey and analyzed the data using fuzzy-set qualitative comparative analysis.

The results of the necessity and sufficiency analysis indicate that (1) single control is not a necessary condition for contractor’s design behavior, but outcome control and social control play a more universal role in generating a contractor’s design behavior. (2) The four paths that affect the contractor’s design proactive behavior can be divided into two groups: one emphasizes the combined effect of three inter-organizational control, while the other highlights the considerable impact of synergistic inter- and intra-organizational control. (3) There are four paths that affect the contractor’s design compliance behavior. Compared with the organizational configuration of the contractor’s proactive design behavior, process control should be combined with bureaucratic control and clan control to play a role in the absence of outcome control and social control.

This study provides a more detailed explanation for how the linkage effect of the two-tier cross-domain control affects the contractor’s design behavior of the design projects in EPC mode. It broadens the application of positive organizational behavior and organizational control theory. In practice, this study provides a suitable control path for mutual benefit and a win-win situation between owners and contractors to promote the success of the design projects in EPC mode.