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How to manage outsourced employees in interorganizational teams with triangular relationships has not yet attracted enough attention. Based on relative deprivation theory, this study explores how relative deprivation affects outsourced employees’ innovative behavior and investigates the complex moderating effects of dual organizational support.

The authors tested their hypothesis by conducting a two-wave survey; responses to a questionnaire were collected from 283 outsourced employees and their managers among 52 client organizations.

Results found that relative deprivation negatively influences the outsourced employees’ innovative behavior by eliciting their perceptions of status conflict. Support from client (supplier) organization attenuates (aggravates) the positive impact of relative deprivation on innovative behavior throughout status conflict. The moderating effect of client organizational support was moderated by support from supplier organization.

The authors selected the outsourced employees in a Chinese context to conduct this study, and the results need to be generalized in future research.

Client organizational support can alleviate the negative effect of relative deprivation on outsourced employees, whereas supplier organization support aggravates the negative effect; managers should pay attention to the different effects of the two organizations’ support and provide reasonable support for outsourced employees.

This study identified the mechanism of relative deprivation’s effect on outsourced employees’ innovative behavior from the perspective of interpersonal interaction and compared the effect of support from dual organizations. This study expands the research on triangular relationships, relative deprivation, status conflict and other field.

To enrich the research on the economic consequences of enterprise digital development from the perspective of capacity utilization.

Using a sample of listed firms from 2010 to 2020, this paper exploits text analysis of annual reports to construct a proxy for enterprise digital development.

Results show that enterprise digital development not only improves their own capacity utilization but also generates a positive spillover effect on the capacity utilization of peer firms and firms in the supply chain. Next, based on the incomplete information about market demand and potential competitors when making capacity-building decisions, the mechanism tests show that improving the accuracy of market forecasts and reducing investment surges are potential channels behind the baseline results. Cross-sectional tests show the baseline result is more pronounced when industries are highly homogeneous and when firms have access to less information.

This paper contributes to the research related to the economic consequences of digital development. With the development of the digital economy, the real effects of enterprise digital development have also triggered extensive interest and exploration. Existing studies mainly examine the impact on physical operations, such as specialization division of labor, innovation activities, business performance or total factor productivity (Huang, Yu, & Zhang, 2019; Yuan, Xiao, Geng, & Sheng, 2021; Wang, Kuang, & Shao, 2017; Li, Liu, & Shao, 2021; Zhao, Wang, & Li, 2021). These studies measure the economic benefits from the perspective of the supply (output) side but neglect the importance of the supply system to adapt to the actual market demand. In contrast, this paper focuses on capacity utilization, aimed at estimating the net economic effect of digital development by considering the supply-demand fit scenario. Thus, our findings enrich the relevant studies on the potential consequences of digital development.

Considering the external disturbances and dynamic uncertainties during the process of the trajectory tracking, this paper aims to address the problem of the welding robot trajectory tracking with guaranteed accuracy.

The controller consists sliding mode control, fuzzy control and low pass filter. The controller adopts low-pass filter to reduce the high frequency chattering control signal in sliding mode control. The fuzzy control model is used to simulate the external disturbance signal and the dynamic uncertainty signal, so that the controller can effectively restrain the chattering caused by the sliding mode control algorithm, realizing the track of the welding robot effectively and improving the robustness of the robot.

An innovative experiment device was adopted to realize the performance of the proposed controller. Considering the kinematic and dynamic uncertainty during the process of robot tracking, the tracking accuracy was realized within 0.3 mm.

This paper uses Lyapunov stability theory and Barbalat theorem to analyze the stability of the proposed controller.

Philanthropy is taken as a strategic behavior by private enterprises to obtain financial resources from governments. This paper aims to examine the relationship between private enterprise philanthropy and the debt finance, further investigating the way by which governments exchange resources with private enterprises.

The paper opted for an empirical study using a sample of 1,489 Chinese private-listed companies from 2007 to 2010. The study analyzed the relationship between philanthropy and debt finance based on the resource dependence theory and social exchange theory and tested the moderating effect of political connection.

Philanthropy can help private enterprises to get the debt finance, and this effect occurs mainly among the political connected private enterprises; the higher degree of credit allocation marketization is, the less philanthropy can affect the debt finance and the less influence political connection can exert on that relationship. Philanthropy contributes to debt financing mainly because it can help obtain more long-term loan, and this effect is more obvious for politically connected private enterprises in regulated industries.

This paper verifies the action logic of private enterprises philanthropy from the perspective of exchange behavior, which is helpful to understand the motive and influence of private enterprises philanthropy.

China's marine economy occupies an important position within the national economy, and its contribution thereto is constantly improving. The overall operation of the marine economy shows positive developmental trends with potential for further growth. The purpose of this research is to analyse the prosperity of China's marine economy, reveal trends therein and forecast the likely turning point in its operation.

Based on the periodicity and fluctuation of China's marine economy development, China's marine economic prosperity indicator system is established from five perspectives. On this basis, China's marine economic operation prosperity index can be synthesised and calculated, then a dynamic factor model is constructed. Using the filtering method to calculate China's marine economic operational Stock–Watson index, Markov switching has been used to determine the trend to transition. Furthermore, China's current marine economic prosperity is evaluated through analysis of influencing factors and correlation analysis.

The analysis shows that, from 2017 to 2019, the operation of the marine economy is relatively stable, and the prosperity index supports this finding; meanwhile it also exposes problems in China's marine economy, such as an unbalanced industrial structure, low marine economic benefits and insufficient capacity for sustainable development.

Through the analysis of the prosperity of China's marine economy, the authors reveal the trends in China's marine economy and forecast its likely future turning point.

This paper aims to address the collision problem between robot and the external environment (including human) in an unstructured situation. A new collision detection and torque optimization control method is proposed.

Firstly, when the collision appears, a second-order Taylor observer is proposed to estimate the residual value. Secondly, the band-pass filter is used to reduce the high-frequency torque modeling dynamic uncertainty. With the estimate information and the torque value, a variable impedance control approach is then synthesized to guarantee that the collision is avoided or the collision will be terminated with different contact models and positions. However, in terms of adaptive linear force error, the variation of the thickness of the boundary layer is controlled by the new proximity function.

Finally, the experimental results show the better performance of the proposed control method, realizing the force control during the collision process.

Origin approach and origin experiment.

This study aims to investigate the effects of peers on corporate payout policies in one of the largest emerging markets – India. It also examines the motives for mimicking payout decisions.

The sample is composed of 3,024 non-financial and non-government firms listed on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) for the period 1995 to 2020. To encounter the endogeneity problem, the instrumental variable technique based on peer firms' idiosyncratic risk is used to estimate the effects of peers on firms' payout policy. To define peer reference groups, the authors use the basic industry classification of the firms.

The results indicate a significant positive impact of peers on firms' dividend policies in India. A firm with all dividend-paying peers is more likely to declare dividends than the one with no dividend-paying peers. Further, peer effects are found to be more pronounced amongst larger and older firms, thus supporting the rivalry theory of mimicking.

To the best of the authors' knowledge, the present study is the first of its kind that attempts to understand peer effects on payout decisions in an emerging market India, that offers a unique institutional setting. Moreover, the authors extend the existing literature by investigating the peer effects on a firm's payout policies considering various firm-level characteristics, such as growth opportunity, cash holding, financial constraint and profitability, which previous studies have not taken into consideration. These results provide additional insights into the heterogeneity and motives behind peer effects.

Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution by injecting currents at the boundary of a subject and measuring the resulting changes in voltage. Image reconstruction for EIT is a nonlinear problem. A generalized inverse operator is usually ill-posed and ill-conditioned. Therefore, the solutions for EIT are not unique and highly sensitive to the measurement noise.

This paper develops a novel image reconstruction algorithm for EIT based on patch-based sparse representation. The sparsifying dictionary optimization and image reconstruction are performed alternately. Two patch-based sparsity, namely, square-patch sparsity and column-patch sparsity, are discussed and compared with the global sparsity.

Both simulation and experimental results indicate that the patch based sparsity method can improve the quality of image reconstruction and tolerate a relatively high level of noise in the measured voltages.

EIT image is reconstructed based on patch-based sparse representation. Square-patch sparsity and column-patch sparsity are proposed and compared. Sparse dictionary optimization and image reconstruction are performed alternately. The new method tolerates a relatively high level of noise in measured voltages.

Though the effect of transformational leadership (TFL) on followers has been largely examined in hospitality, the findings are rather inconsistent. This paper aims to provide a quantitative review for the relationship between TFL and follower outcomes in hospitality and a detailed analysis of the moderating variables (cultural differences, measurement instrument, rating sources and time lag).

To explore the effect sizes of TFL on followers, this study conducted a quantitative meta-analysis based on 62 primary studies, including 66 independent samples (N = 23,037). The outcomes of TFL were categorized into subordinates’ attitudinal outcomes, relational perceptions and behavioral outcomes.

The results indicate that TFL has the strongest impact on relational perceptions, followed by subordinates’ attitudinal and behavioral outcomes. The results also show that cultural differences, rating sources and time lag partially moderate the relationships between TFL and follower outcomes.

TFL generally has a high level of validity for explaining attitudinal, behavioral and relational perception outcomes of followers in the field of hospitality. Given that, there have been a large number of studies investigating TFL with follower attitudinal and behavioral outcomes, it might not be necessary to continue applying identical frameworks to investigate the effect of TFL. Instead, future research on TFL is expected to explore the relationship between TFL and followers’ relational perceptions and consider cultural and methodological factors.

To the best of authors’ knowledge, this is the first meta-analysis to clear theoretical links between TFL and its outcomes in the hospitality context. This study further investigates several moderators that can influence the effects of TFL and helps better understand the influence of TFL in the area of hospitality. The study also provides future research directions for leadership research in the hospitality context.

As for vibrating screen, the separation of granular materials is a very complicated process, particularly the screening with a swing trace. To study the characteristics of stratification and penetration in the swing vibrating screen, a three-dimensional numerical model was developed to simulate the screening process.

The discrete element method (DEM) was used to perform the numerical simulation, and the kinetic model of the swing screening was established. The regions of stratification and penetration were defined, and the mathematical functions relating fine particle ratio of stratification and penetration to time were presented using the least squares method.

The results show that the low value of frequency (5 and 10 Hz) has a limited effect on the stratification, while the obvious effect can be found at high frequency. A low frequencies or small swing angles may enhance the particle penetration. By studying the vibration parameters affecting the stratification and penetration rate, it is found that the frequency has more influence than the swing angle.

The higher screening efficiency and processing capacity can be further obtained for the swing vibrating screen by comparing with the linear vibrating screen. These results reveal the fundamental characteristics of particle motion in the swing screening, which will provide reliable guidance for studying the design optimization of vibrating screen.