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Aircraft assembly is the crucial part of aircraft manufacturing, and to meet the high-precision and high-efficiency requirements, cooperative measurement consisting of multiple measurement instruments and automatic assisted devices is being adopted. To achieve the complete data of all assembly features, measurement devices need to be placed at different positions, and the flexible and efficient transfer relies on Automated Guided Vehicles (AGVs) and robots in the large-size space and close range. This paper aims to improve the automatic station transfer in accuracy and flexibility.

A transferring system with Light Detection and Ranging (LiDAR) and markers is established. The map coupling for navigation is optimized. Markers are distributed according to the accumulated uncertainties. The path planning method applied to the collaborative measurement is proposed for better accuracy. The motion planning method is optimized for better positioning accuracy.

A transferring system is constructed and the system is verified in the laboratory. Experimental results show that the proposed system effectively improves positioning accuracy and efficiency, which improves the station transfer for the cooperative measurement.

A Transferring system for collaborative measurement is proposed. The optimized navigation method extends the application of visual markers. With this system, AGV is capable of the cooperative measurement of large aircraft structural parts.

The assembly of large component in out-field is an important part for the usage and maintenance of aircrafts, which is mostly manually accomplished at present, as the commonly used large-volume measurement systems are usually inapplicable. This paper aims to propose a novel coaxial alignment method for large aircraft component assembly using distributed monocular vision.

For each of the mating holes on the components, a monocular vision module is applied to measure the poses of holes, which together shape a distributed monocular vision system. A new unconstrained hole pose optimization model is developed considering the complicated wearing on hole edges, and it is solved by a iterative reweighted particle swarm optimization (IR-PSO) method. Based on the obtained poses of holes, a Plücker line coordinates-based method is proposed for the relative posture evaluation between the components, and the analytical solution of posture parameters is derived. The required movements for coaxial alignment are finally calculated using the kinematics model of parallel mechanism.

The IR-PSO method derived more accurate hole pose arguments than the state-of-the-art method under complicated wearing situation of holes, and is much more efficient due to the elimination of constraints. The accuracy of the Plücker line coordinates-based relative posture evaluation (PRPE) method is competitive with the singular value decomposition (SVD) method, but it does not rely on the corresponding of point set; thus, it is more appropriate for coaxial alignment.

An automatic coaxial alignment system (ACAS) has been developed for the assembly of a large pilotless aircraft, and a coaxial error of 0.04 mm is realized.

The IR-PSO method can be applied for pose optimization of other cylindrical object, and the analytical solution of Plücker line coordinates-based axes registration is derived for the first time.

The safety and reliability of high-speed trains rely on the structural integrity of their components and the dynamic performance of the entire vehicle system. This paper aims to define and substantiate the assessment of the structural integrity and dynamical integrity of high-speed trains in both theory and practice. The key principles and approaches will be proposed, and their applications to high-speed trains in China will be presented.

First, the structural integrity and dynamical integrity of high-speed trains are defined, and their relationship is introduced. Then, the principles for assessing the structural integrity of structural and dynamical components are presented and practical examples of gearboxes and dampers are provided. Finally, the principles and approaches for assessing the dynamical integrity of high-speed trains are presented and a novel operational assessment method is further presented.

Vehicle system dynamics is the core of the proposed framework that provides the loads and vibrations on train components and the dynamic performance of the entire vehicle system. For assessing the structural integrity of structural components, an open-loop analysis considering both normal and abnormal vehicle conditions is needed. For assessing the structural integrity of dynamical components, a closed-loop analysis involving the influence of wear and degradation on vehicle system dynamics is needed. The analysis of vehicle system dynamics should follow the principles of complete objects, conditions and indices. Numerical, experimental and operational approaches should be combined to achieve effective assessments.

The practical applications demonstrate that assessing the structural integrity and dynamical integrity of high-speed trains can support better control of critical defects, better lifespan management of train components and better maintenance decision-making for high-speed trains.

This study attempts to examine the performance differences between firms with and without integrated management systems (IMSs), and the impact of three integration strategies (i.e. implementing quality management system (QMS) first, then environmental management system (EMS) (QMS + EMS); implementing EMS first, then QMS (EMS + QMS); implementing QMS and EMS simultaneously (QMS − EMS)) on firm performance to reveal the IMS–performance relationship and provide empirical evidence.

Two panel datasets were collected during 2009–2019. This study used the Mann–Whitney non-parametric test and a sample of 33,155 observations from 4,316 Chinese listed firms to compare the performance differences between the IMS and non-IMS groups through performance indicators. This study also examined the effects of three integration strategies on firm performance using a cross-sectional time-series feasible generalized least squares (FGLS) regression model and a sample of 11,289 observations from 2,037 firms.

The results show that significant performance differences exist between IMS and non-IMS firms; however, the performance of firms with an IMS is not always better than that of firms without IMS. Furthermore, the simultaneous integration strategy has a positive impact, whereas sequential integration strategies (QMS + EMS and EMS + QMS) negatively affect firm performance. Compared with the EMS + QMS strategies, the QMS + EMS strategies have a more prominent effect on firm performance. Simultaneous strategies are more effective than sequential strategies.

Firms should fully consider the potential benefits and costs associated with the difficulties of IMS implementation and the implementation order of different management systems and the potential effects of the management systems in different conditions. Firms also should try to develop internal capabilities through implementing different integration strategies.

By comparing performance differences between firms with and without IMS, this study enriches the understanding of the performance benefits of IMS implementation in the Chinese context. By examining the impact of integration strategies that follow different sequences on firm performance, this study promotes an in-depth understanding of the integration strategies and their performance implications beyond simple descriptions and also provides new insights into operations strategy models.

Previous studies focused on the influence of outsourcing (labor division) on productivity, especially in the industrial economy. However, few studies have focused on how labor division in agriculture affects agricultural productivity. To bridge this gap, this study uses survey data from 4864 farmer households in China to explore the impacts of outsourcing on agricultural productivity.

This study employs an endogenous switching regression to account for selection bias and a counterfactual framework to measure the degree of influence. Thus, this study analyzes determinants of outsourcing and the impacts of outsourcing on agricultural productivity under the same framework.

The results revealed the following. (1) Farmer households with the below average productivity tended to outsource; conversely, farmer households with the above average productivity tended to cultivate the land by themselves. (2) Productivity increased by 25.61% for farmer households who choose to outsource. Moreover, if nonoutsourcing farmer households would choose to outsource, their productivity would increase by 10.86%.

This study furthers one’s understanding of how outsourcing affects agricultural productivity among farmer households.

The purpose of this paper is to analyze the impact of integrated management systems (IMSs) on sustainability (based on the triple bottom line (TBL) concept). To accomplish this objective, this paper seeks to answer the following research questions: How can IMS impact organizational sustainability performance? And, how the key challenges of IMS can influence companies in practice?

A case-based approach is used based on the following four cases from different sectors: an electric power distributor; an environmental consulting firm; a public transport firm; and a firm with a broad portfolio of equipment, products and provisions for industrial services in different markets.

The results show that the integration of management systems was driven by the companies' strategies toward sustainability. The stakeholders' perception is that a firm's image as a sustainable company also enhances environmental and social performance. The economic performance was not emphasized. Companies noted that the main challenge was motivating and engaging human resources.

This paper shows that sustainability was not a motivation for implementing an IMS. But, implementing an IMS was a driver of sustainability performance. Also, the relationship between IMS and organizational performance can be presented based on TBL perspectives, and implementing an IMS can be challenging in practice.

This research aims to empirically investigate the influence of stakeholders on the corporate decision of ISO 9001, ISO 14001, and OHSAS 18001 certifications and how that influence differs across different certification types.

The paper utilizes a survey of 1,268 industrial enterprises in China, using logistic regressions to analyze corporate decision towards management standards use.

The results show that stakeholder influence varies across different management standard certifications. Foreign customers and neighboring community are significant drivers for ISO 9001 certification. Foreign investors, being publicly listed, and neighboring community each demonstrate a significant impact on ISO 14001 certification. Only being publicly listed shows significant explanatory power for certifying with OHSAS 18001.

This study does not touch upon performance issues. The relationship between stakeholder pressure, certifications, and performance would be interesting to explore.

Information disclosure may be an effective tool to motivate firms to be more responsible for environment and society. Furthermore, measures should be taken to raise stakeholder awareness of corporate occupational health and safety (OH&S).

Although sustainability management demands attention to the three pillars of sustainability, empirical research tends to focus on only one aspect of it when studying standardized management practices use. This study investigates all three pillars using a unified framework. Furthermore, existing studies have focused predominantly on developed countries. The paper conducts research in China, one of the major developing economies. Lastly, the paper utilizes firm-level data on corporate sustainability management, which is hard to obtain in China.

The purpose of this paper is to empirically investigate how top executives’ compensation is associated with environmental performance in the Chinese context and how this association varies with differing levels of industrial competition.

Combining agency and institutional theories, the empirical study is based on a sample of 698 publicly listed firms in China’s manufacturing sector.

The authors find that top executives’ cash pay has a positive association, and equity ownership a negative association, with corporate environmental performance. Furthermore, in more competitive industries, both pay and ownership are more strongly associated with environmental performance, indicating that industrial competition plays a moderating role in these relationships.

The findings imply that different incentive schemes can motivate executives toward environmental management in the Chinese context in opposite directions. They highlight the importance of improving regulation in order to motivate firms to engage in further environmental management.

Previous work on the relationship between executives’ compensation and socially responsible activities has mainly focussed on developed countries. This study is set in an emerging economy, and identifies new evidence to show that the effect of executive incentives is institutionally specific. In addition, it explores the effect of industrial competition on executives’ incentives to engage in environmental management, suggesting an explanation for the contradictory evidence found in previous research.

Although manufacturer-initiated rewards are widely used to secure distributors’ compliance, the spillover effect on unrewarded distributors (i.e. observers) in the same distribution channel is under-researched. Using insights from social learning theory, this paper aims to investigate how manufacturer-initiated rewards affect observers’ expectation of reward and shape observers’ compliance toward the manufacturer. Furthermore, this paper explores how such effects are contingent upon distributor relationship features.

To test the hypotheses, hierarchical multiple regression and bootstrapping analyses were performed using survey data from 280 Chinese distributors.

The magnitude of a manufacturer-initiated reward to a distributor stimulates expectation of reward among observers, which enhances compliance; observers’ expectation of reward mediates the impact of reward magnitude on compliance. Moreover, network centrality (of the rewarded peer) negatively moderates the positive impact of reward magnitude on observers’ expectation of reward, whereas observers’ dependence (on the manufacturer) positively moderates this dynamic.

Manufacturers should pay attention to the spillover effects of rewards. Overall, they should use rewards of appropriate magnitude to show willingness to recognize outstanding distributors. This will inspire unrewarded distributors, which will then be more compliant. Furthermore, manufacturers should know that specific types of distributor relationship features may significantly vary the spillover effects.

This study illuminates the spillover effects of manufacturer-initiated reward by opening the “black box” of the link between reward magnitude and observers’ compliance and by specifying the effects’ boundary conditions.

This paper aims to examine the determinants of rural dwellers financial literacy in Ghana.

A cross-sectional primary data set was used to estimate the factors influencing rural farm households' financial literacy using the IV-Tobit model.

The findings reveal that most rural residents are financially illiterate. The econometrics model results depicted that respondents' socioeconomic and demographic characteristics such as gender, income, age and education significantly affect financial literacy. Again, respondents who are risk seekers and listen or watch education programs are more likely to be financially literate.

The paper examined the determinants of rural dwellers financial literacy in four regions in Ghana. Future research should consider all or many regions for an informed generalization of findings.

This paper provides evidence that rural dwellers are financially illiterate and it would require the policymakers or non-governmental organizations (NGOs) to establish a village or community group that comprises a wide range of bankers and government officials to help rural dwellers acquire some financial skills. Also, the positive relationship between media (whether respondent watches or listens to educational programs) and financial literacy implies that policymakers should focus on improving individuals' financial knowledge through training programs and utilize the media as a channel to propagate financial education to the public.

Although previous studies have examined the determinants of financial literacy, little is known in developing countries and, in particular, rural communities. The authors fill this gap by contributing to the scanty existing literature in developing countries in several ways. First, this is the first study to examine the financial literacy level of rural dwellers in Ghana. Second, to not undermine the credibility of the estimation results, this study addresses the potential endogeneity issue, which other researchers have not adequately recognized. Finally, the study expands the scant literature on the subject and provides critical policy implications that will help policymakers formulate financial market policies that will contribute to rural dwellers financial literacy enhancement.