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Across Africa, disruptive digital frugal innovations (DDFIs) are evolving as potent catalysts for sustainable development. This research explored into the complex interplay between DDFI and sustainability, moving beyond traditional narratives of mere affordability to discover its potential for transformative change across environmental, social, and economic dimensions. This chapter sought to firstly unravel the multifaceted relationships between DDFI and Sustainable Development Goals (SDGs) in diverse African contexts; secondly it examined the socioeconomic and environmental impacts of DDFI across key sectors, thus healthcare and agriculture, identifying both positive contributions and unintended consequences. Diffusion of innovation theory formed the lens of the study; qualitative data were analyzed according to emerging themes. Research findings revealed that implementation of DDFI exhibits immense potential to address critical sustainability challenges, empowering communities through social inclusion, improve access to essential services, and empower marginalized communities to actively participate in development processes. Data privacy, intellectual property rights, and potential exploitation of communities were some of the challenges noted which require careful consideration and responsible innovation practices. The study recommends to foster inclusive cocreation processes that involve local communities in needs assessment, design, and implementation of DDFI solutions and bridge the digital divide through investing in robust infrastructure development, digital literacy programs, and affordable access to technology.

High-speed turnouts are more complex in structure and thus may cause abnormal vibration of high-speed train car body, affecting driving safety and passenger riding experience. Therefore, it is necessary to analyze the data characteristics of continuous hunting of high-speed trains passing through turnouts and propose a diagnostic method for engineering applications.

First, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is performed to determine the first characteristic component of the car body’s lateral acceleration. Then, the Short-Time Fourier Transform (STFT) is performed to calculate the marginal spectra. Finally, the presence of a continuous hunting problem is determined based on the results of the comparison calculations and diagnostic thresholds. To improve computational efficiency, permutation entropy (PE) is used as a fast indicator to identify turnouts with potential problems.

Under continuous hunting conditions, the PE is less than 0.90; the ratio of the maximum peak value of the signal component to the original signal peak value exceeded 0.7, and there is an energy band in the STFT time-frequency map, which corresponds to a frequency distribution range of 1–2 Hz.

The research results have revealed the lateral vibration characteristics of the high-speed train’s car body during continuous hunting when passing through turnouts. On this basis, an effective diagnostic method has been proposed. With a focus on practical engineering applications, a rapid screening index for identifying potential issues has been proposed, significantly enhancing the efficiency of diagnostic processes.

Although previous research has recognized the pivotal role of mobile social media in knowledge sharing among project members, little is known about what factors affect knowledge sharing in mobile social media groups (MSMGs). Against this background, using normative social influence theory, this study attempts to explore factors influencing knowledge sharing in MSMGs.

Data from 205 Chinese construction project members are collected and used for analysis. Ordinary least squares regression by Stata 16 is used to test the proposed hypotheses.

Concerning role norms, gender difference in knowledge sharing behavior (KSB) is found, while it is not the case for knowledge quality (KQ). Work experience is found to positively affect KQ, but shows no influence on KSB. As for group norms, the inverted-U relationship between number of members and KSB is partially supported. In addition, organizational norms generally exhibit the greatest influence on both KSB and KQ among the three forms of norms.

This study deepens the understanding of knowledge sharing factors in mobile social media environments and affords practical implications for how to make full use of social media for knowledge management within construction project teams.

This study aims to examine the relationship between managerial ability and innovation efficiency, the mediating effect of digital transformation and the moderating effect of internal control.

This study collected A-share manufacturing listed companies in China from 2008 to 2019 and analyzed the data by means of multiple regression analysis, mediating effect test, moderating effect test and heterogeneity test. Finally, the authors conducted robustness test by remeasuring key variables and adding control variables.

The empirical results show that the higher managerial ability can improve innovation efficiency, internal control has a positive moderating effect and digital transformation plays a partial mediating effect on the relationship between managerial ability and innovation efficiency. Specially, it is found that the mediating effect of digital transformation is not significant in non-state-owned firms.

This study suggests that it is necessary to focus on the managerial ability in terms of both cultivation and supervision, to further deepen the digital transformation from the aspects of firms, government and society, especially to support the digital transformation of non-state-owned firms, and to make efforts to improve the corporate governance mechanism and internal control system, so as to better comprehensively realize the improvement of enterprise innovation efficiency.

Based on the mediating effect analysis of digital transformation and the moderating effect analysis of internal control, this study explores the role of managerial ability on innovation efficiency from a new perspective, expanding the related theoretical framework and research boundaries.

Informal learning networks are critical to response to calls for practitioners to reskill and upskill in off-site construction projects. With the transition to the coronavirus disease 2019 (COVID-19) pandemic, social media-enabled online knowledge communities play an increasingly important role in acquiring and disseminating off-site construction knowledge. Proximity has been identified as a key factor in facilitating interactive learning, yet which type of proximity is effective in promoting online and offline knowledge exchange remains unclear. This study takes a relational view to explore the proximity-related antecedents of online and offline learning networks in off-site construction projects, while also examining the subtle differences in the networks' structural patterns.

Five types of proximity (physical, organizational, social, cognitive and personal) between projects members are conceptualized in the theoretical model. Drawing on social foci theory and homophily theory, the research hypotheses are proposed. To test these hypotheses, empirical case studies were conducted on two off-site construction projects during the COVID-19 pandemic. Valid relational data provided by 99 and 145 project members were collected using semi-structured interviews and sociometric questionnaires. Subsequently, multivariate exponential random graph models were developed.

The results show a discrepancy arise in the structural patterns between online and offline learning networks. Offline learning is found to be more strongly influenced by proximity factors than online learning. Specifically, physical, organizational and social proximity are found to be significant predictors of offline knowledge exchange. Cognitive proximity has a negative relationship with offline knowledge exchange but is positively related to online knowledge exchange. Regarding personal proximity, the study found that the homophily effect of hierarchical status merely emerges in offline learning networks. Online knowledge communities amplify the receiver effect of tenure. Furthermore, there appears to be a complementary relationship between online and offline learning networks.

Proximity offers a novel relational perspective for understanding the formation of knowledge exchange connections. This study enriches the literature on informal learning within project teams by revealing how different types of proximity shape learning networks across different channels in off-site construction projects.

This study aims to empirically examine the influence of transformational leadership on job satisfaction in Jordanian commercial banks through knowledge sharing as a mediator. The data were collected from 232 employees and then analyzed through regression analysis using SPSS. The results revealed that there is a significant influence of transformational leadership on job satisfaction, as well as a significant influence of knowledge sharing on this relationship. These findings imply that if managers adopt transformational leadership, their subordinates can be satisfied with their jobs, specifically if they facilitate knowledge sharing. This study sheds light on improving organizational performance and employee engagement in a specific context and provides excellent direction for future contributions.

This study aims to improve the positioning accuracy of a large-scale parallel pose alignment mechanism by calibration and error compensation.

The dynamic modelling of the parallel pose alignment mechanism is achieved using the Newton Euler method. Combined with a deformation compatibility analysis, the support force at the spherical hinge and the friction of the follow-up prismatic pair are calculated. The deformation of the moving platform in multi-pose space is analysed by the integral method, and a corresponding deformation model is established. Based on the calculated support force, friction and deformation, the deformation error is analysed. Combined with the calculated deformation error, kinematics calibration and positioning error compensation are carried out.

The simulation results show that the deviation of structural error identification is decreased from 3.03 × 10^–1 mm to 6.8 × 10^–2 mm. The experimental results show that the maximum pose errors after compensation are reduced from 2.77 mm to 6.5 × 10^–1° to 3.9 × 10^–1 mm and 3.7 × 10^–1°, which verifies the effectiveness of the proposed method.

This method can be used in the field of aircraft assembly for the calibration and error compensation of a large-scale parallel pose alignment mechanism based on positioners.

Digital innovation has become an important driving force for organizational development. It is an important factor to improve the cooperative behavior of project performance, but the related research ignores the influence of digital innovation of construction projects on the cooperative behavior of all participants. Therefore, this study discusses the comprehensive influence of digital innovation on cooperative behavior in construction projects and provides references for formulating reasonable digital innovation strategies.

This study constructs a theoretical model according to the logical thread of “digital innovation → capital → cooperative behavior,” and discusses how construction project participants can improve their cooperative performance through digital innovation. And bring the institutional environment into the research framework as a regulating variable. Subsequently, this study uses the survey data of 276 construction employees from China to verify and analyze the theoretical model by structural equation model (SEM) and explains the action path and boundary conditions of “digital innovation-cooperation behavior.”

(1) Digital innovation has a negative impact on the cooperative behavior of all participants in the construction project; (2) As a complete intermediary variable, human capital helps to amplify the positive impact of digital innovation on cooperative behavior and (3) The institutional environment plays a positive regulatory role between digital innovation and human capital. The discussion of the results can guide the construction project organization and management personnel to formulate reasonable digital innovation strategies.

This study investigates the influence mechanism and boundary conditions of digital innovation on the cooperative behavior among the participants in construction projects through empirical research. These research results enrich the related literature of digital innovation in theory, expand the research scope of project cooperation and fill the gap in studying how digital innovation affects cooperation behavior from the perspective of construction projects. And by discussing the role of digital innovation, scholars can deepen their understanding of the antecedents of human capital. In addition, by examining the regulatory role of the institutional environment, the boundary conditions of digital innovation are discussed.

ESG issues are gaining increasing attention from investors, but the environmental, social and governance (ESG) rating disagreement caused by different standards of rating agencies misleads investors' investment decisions. This can lead to an increased risk of stock price crashes, causing turbulence in the financial markets and reducing investors' confidence. The paper investigates whether ESG rating disagreement of the current period increases stock price crash risk and the mechanism to mitigate this impact.

With the sample of the listed companies of Shanghai and Shenzhen Stock Exchanges from 2010 to 2022 this paper examines the impact of ESG rating disagreement itself on stock price crash risk. Moreover, this paper examines the mechanisms by analyzing the moderating effect of distraction of investors; digital economy and corporate intelligence maturity.

This paper finds that ESG rating disagreement itself would amplify the stock price crash risk. When exploring the moderating effect of institutional investors' distraction, digital economic development level and corporate intelligence, the paper found that they would mitigate the impact of ESG rating disagreement on stock price crash risk. The relationship between ESG rating disagreement and stock price crash risk is more pronounced in the context of heavily-polluted, state-owned enterprises (SOEs) and enterprises with star analysts.

Currently, few articles discuss ESG rating disagreement, especially the impact of current ESG rating disagreement on stock price crash risk. This paper focuses on this topic and provides strategies to mitigate the impact of current ESG rating divergence on stock price crash risk.