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The detrimental effects of air pollution on the continuity of corporations attract more and more attention in the economic and financial studies. Prior literature investigates the impact of air pollution on corporate financial performance. This study aims to extend this research area by exploring the role of corporate innovation and happiness as factors that mitigate the adverse effects of air pollution and moderate the relationship between air pollution and financial performance.

This study uses two-step system generalized method of moments models to analyze the data of 200 firms listed on Istanbul Stock Exchange over the period 2009–2022.

The results show that firms located in regions with higher air pollution are more likely to invest in innovation. In addition, firms that are more exposed to air pollution and have investments in research and development (R&D) have less ability to improve their financial performance compared to firms that have no investments in R&D. In a similar vein, although R&D has positive effect on financial performance, this effect diminishes in the presence of higher air pollution. The results also show that happiness has no significant moderating effect on the relationship between air pollution and financial performance.

The findings of this study related to the role of corporate innovation in determining the effect of air pollution on financial performance indicate that the costs of investment in R&D weaken the firm’s ability to mitigate the adverse impact of air pollution on financial performance, which provides important signals to policymakers to concentrate more on supporting investment in corporate innovation by providing the necessary facilities for firms to improve their innovative performance and decrease the costs of investment in innovation.

To the author’s knowledge, this research is the first to explore the influence of happiness on the air pollution–financial performance relationship. In addition, this study differs from most prior ones by examining how responding to air pollution through investment in innovation can moderate the association between air pollution and financial performance.

This study aims to construct a “contractual–relational–governmental” 3D governance framework for new infrastructure projects (NIPs) within China’s distinct institutional context. The primary objective is to explore the impact of multiple governance mechanisms on the NIP performance, thus identifying the key governance mechanisms and proposing targeted performance improvement strategies.

The research design follows a sequential mixed methodology of integrating qualitative and quantitative data collection and analysis. Firstly, project governance and performance indicators were collected from relevant literature and expert interviews. Secondly, a questionnaire was developed, and data were collected through on-site and online means. Finally, the partial least square structural equation model (PLS-SEM) was utilized to examine and analyze the relationships between governance mechanisms and NIP performance.

Contractual, relational and governmental governance all have a certain role in promoting the NIP performance. Specifically, contract stringency, trust and governmental decision are the core elements of contractual, relational and governmental governance, respectively, while commitment does not significantly affect NIP performance. Generally, relational and governmental governance exert a more substantial influence compared to contractual governance, with governmental decision and trust being the most effective.

This paper contributes to the field by introducing PLS-SEM as a measurement tool for exploring the impact of multiple governance mechanisms on governance performance in NIPs. The results offer valuable insights for project managers, enabling them to concentrate on core factors while refining and optimizing governance mechanisms and strategies.

Megaproject performance measurement (MPM) has received great attention in the project management community, but it primarily focused on the design of performance measures or frameworks. Yet, whether MPM utilization can improve megaproject performance and how project actors use MPM to improve megaproject performance is less well understood. This study aims to investigate whether and how the use of MPM can contribute to better megaproject performance.

Through the lens of the lever of control, this study conceptualizes MPM utilization as diagnostic use and interactive use. A holistic research model and related hypotheses integrating MPM use, project complexity and megaproject performance were established. The model was validated using a partial square-structural equation modeling method.

Based on 214-megaproject data collected through a questionnaire survey in China, the results show positive effects of diagnostic use and interactive use on megaproject performance. Both, however, have substitutional interaction effects. The moderating results suggest that the higher project complexity weakens the positive effects of MPM utilization on megaproject performance.

This study advances megaprojects performance measurement and management literature by validating the value of MPM utilization on performance. It also presents practical implications for project managers to improve performance by appropriate MPM utilization.

The purpose of this study is to address the welding demands within large steel structures by presenting a global spatial motion planning algorithm for a mobile manipulator. This algorithm is based on an independently developed wall-climbing robot, which comprises a four-wheeled climbing mobile platform and a six-degree-of-freedom robotic manipulator, ensuring high mobility and operational flexibility.

A convex hull feasible domain constraint is developed for motion planning in the mobile manipulator. For extensive spatial movements, connected sequences of convex polyhedra are established between the composite robot’s initial and target states. The composite robot’s path and obstacle avoidance optimization problem are solved by constraining the control points on B-spline curves. A dynamic spatial constraint rapidlye-xploring random trees-connect (RRTC) motion planning algorithm is proposed for the manipulator, which quickly generates reference paths using spherical spatial constraints at the manipulator’s end, eliminating the need for complex nonconvex constraint modeling.

Experimental results show that the proposed motion planning algorithm achieves optimal paths that meet task constraints, significantly reducing computation times in task conditions and shortening operation times in non-task conditions.

The algorithm proposed in this paper holds certain application value for the realization of automated welding operations within large steel structures using mobile manipulator.

This study examines how project uncertainties (environmental uncertainty and participant uncertainty) affect guanxi and contractual governance and assesses the mediating role of guanxi governance between project uncertainty and contractual governance.

Data were collected in two stages from Chinese contractors. First, in-depth interviews were conducted with nine construction engineering project practitioners in different contracts as a pilot for questionnaire designing. Second, a cross-sectional questionnaire survey was conducted with professionals and practitioners of construction enterprises to collect primary data. Partial least squares structural equation modeling (PLS-SEM) was used to test seven hypotheses based on data collected from 198 respondents.

Project environmental uncertainty promotes the use of guanxi governance, while project participant uncertainty hinders it; the relationship between both types of uncertainty and contractual governance is the same as with guanxi governance. Furthermore, guanxi governance promotes contractual governance and partially mediates project environmental uncertainty and contractual governance and a complete mediating role between project participant uncertainty and contractual governance.

As the interviewed samples are mainly from China, the study should be replicated using large representative samples from East Asian countries, such as Japan and South Korea, to gain a more comprehensive understanding of the influence of guanxi governance. Further, while the internal consistency reliability and convergent validity of the questionnaire data in this study align with the standards, a larger sample size would improve the reliability and validity of the research results and better represent the overall work situation of contractors, owners and public policymakers.

The results provide insights into project governance research and have implications for construction practitioners in deploying governance-related resources.

As the new frontier in online healthcare innovation, mobile health consultation (MHC) is transforming how traditional healthcare is delivered. Despite being known on a large scale for its benefits, MHC still faces consumer resistance. MHC is a technology-enabled service, so an in-depth analysis of consumer resistance from the perspective of technology is crucial to enhance service adoption. This study sought to determine the mechanism by which two information technology (IT)-specific traits – IT affordance and IT identity – influence consumer resistance to MHC during consumer–platform interactions.

We used the Credamo platform to gather data from 786 users with medical consulting experience to validate the resulting relationships.

Based on partial least squares structural equation modeling, three of the six IT affordances (visibility, searching and guidance shopping) exerted a significant positive influence on IT identity, while trigger attending and association affordance had no significant effect on IT identity. Persistence affordance was negatively associated with IT identity, and IT identity negatively influenced consumer resistance to MHC.

Academically, this empirical paper primarily contributes to the MHC literature and the theory of IT affordance and IT identity. Practically, several valuable guidance for MHC platforms is provided.

The information used for supervision by regulatory departments in public-private partnership (PPP) projects is primarily transmitted and processed by the PPP implementation department, which negatively impacts the information quality, leading to information asymmetry and undermining the overall effectiveness of supervision. This study aims to explore how to use blockchain to anchor the information used for supervision in PPP projects to the original information, to strengthen the oversight.

This paper adopts the principles of design science research (DSR) to design a conceptual framework that systematically organizes information along the information dissemination chain, ensuring the reliable anchoring of original information. Two-stage interviews involving experts from academia and industry are conducted, serving as formative and summative evaluations to guide the design.

The framework establishes a weak-centralized information organizing mode, including the design of governance community and on-chain and off-chain governance mechanisms. Feedback from experts is collected via interviews and the designed framework is thought to improve information used for supervision. Constructive suggestions are also collected and analyzed for further development.

This paper provides a novel example exploring the inspirations blockchain can bring to project governance, like exercising caution regarding the disorderly expansion of public sector authority in addressing information disadvantages and how to leverage blockchain to achieve this. Technical details conveyed by the framework deepen understanding of how blockchain benefits and the challenges faced in successful implementation for practitioners and policymakers. The targeted evaluation serves as rigorous validation, guiding experts to provide reliable feedback and richer insights by offering them a more cognitively convenient scenario.

The contractors’ consummate performance behavior is the key to achieving the project’s value added, but existing research has paid little attention to how to stimulate this behavior. Based on contractual functions and regulatory focus theory, this study examined how the allocation of contractual functions and the contractors’ regulatory focus affect their consummate performance behaviors. At the same time, considering the important position of guanxi between owner and contractor, this study also examined the moderating effect of guanxi on the relationship between the contractors’ regulatory focus and consummate performance behaviors.

This study first constructs a conceptual model that incorporates contractual functions (control, coordination and adaptation), contractors’ regulatory focus (promotion focus, prevention focus) and the effect of guanxi on contractors’ consummate performance behavior. Next, partial least squares structural equation modeling is used to analyze the survey data of 297 Chinese construction project professionals.

This study has the following four findings. First, contractual control has a negative effect on contractors’ promotion focus but a positive effect on their prevention focus. Contractual coordination and adaptation have a positive effect on contractors’ promotion focus but a negative effect on their prevention focus. Second, contractors’ promotion focus has a positive effect on their consummate performance behaviors, while their prevention focus has a negative effect on such behaviors. Third, both of contractors’ promotion focus and prevention focus play a mediating role in the relationship between contractual functions and their consummate performance behaviors. Finally, guanxi plays a moderating role in the relationship between contractors’ regulatory focus and their consummate performance behaviors.

Theoretically, this study enriches the research on the antecedents of contractors’ regulatory focus and extends the literature on contractual and guanxi management in construction projects. In practice, this study can provide guidance for improving contractors’ consummate performance behaviors and reasonable allocation of contractual functions.

Mothers sharing images and information on social media about their children is a contemporary cultural norm. While the practice has been heavily discussed in popular media, there is a lack of empirical research examining the phenomenon from the perspectives of parents and adolescent children in China. The current study aims to find out whether or not mothers and their children engage in discussions about sharenting and how adolescents negotiate their privacy concerns with their mothers.

The current study examined how parents and their children make sense of sharenting via semi-structured interviews with 16 Chinese mothers. In addition, the study enlisted 21 adolescents to examine their perspectives on sharenting. Data were analyzed using thematic analysis.

Results showed that although documentation is articulated as the primary sharenting motivation, identity management is a major drive behind sharenting. The dynamics between mothers and their children, as well as between adolescents and their parents, are also explored regarding the issues of consent, privacy and identity.

This study has theoretical implications for the communication privacy management (CPM) theory, as it underscores the dynamic nature of privacy management, shaped by cultural norms, family dynamics and evolving communication technologies. It also adds value for campaign practitioners to provide education programs on the serious consequences of sharenting.

This research serves as a starting point to further explore a child’s entrance to adulthood as our culture’s first true digital natives who will bear extensive online and offline identities.

This study investigates the heterogeneous impact of R&D capital market distortions (CMDs) on the quantity and quality of innovation in Chinese firms by exploring key pathways from a dual-arbitrage perspective.

Using data from Chinese A-share listed companies (2015–2021), we employ a multidimensional fixed effects model to validate the research hypotheses. Under the Systems of National Accounts (SNA, 2008) framework, we use the Bureau of Economic Analysis method to estimate enterprise R&D capital stock and the Cobb-Douglas production function to estimate R&D CMDs.

Results show that R&D CMDs drive firms toward strategic innovation, emphasizing quantity over quality. Policy arbitrage, including policy catering and rent-seeking, emerges as a pivotal mechanism under R&D CMDs, encouraging firms to prioritize quantity over quality in innovation. High-technology firms and those in the decline stage are more inclined to spearhead strategic innovation within the context of R&D CMDs.

These findings help policymakers promote high-quality innovation in Chinese enterprises by enhancing patent review mechanisms and shifting policies from quantity-driven to quality-oriented goals.

This study enriches the research on factor market distortions and innovation in emerging markets from the perspective of R&D CMDs, based on the “emerging + transitional” comprehensive framework. Unlike previous studies, which generally use enterprise R&D expenditure flow data, we apply the theory of R&D capitalization accounting to the micro-enterprise level under the SNA (2008) framework, enhancing the accuracy of R&D CMD estimations.