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Contracts and trust are two prominent governance mechanisms in buyer–supplier exchanges, yet controversy persists regarding the interplay between contracts and trust. This study aims to provide a new perspective to understand the debate by differentiating between- from within-dyad effects of contracts–trust relationships.

Based on survey data of 250 Chinese buyer–supplier relationships collected over two time periods, this study used two-level hierarchical linear modeling (HLM) with repeated measures to test the influence of contracts (trust) on trust (contracts) over time.

The authors find that for major buyer–supplier exchanges, contracts and trust tend to complement each other when comparing across dyads, but they likely substitute for each other in within-dyad settings.

First, to illustrate the dynamic interactions between contracts and trust, this study collected data at two time periods and assumed continuous linear relationships of time with both contracts and trust. Further research should collect multiple waves of data to explore the complex, varying changes that arise over time. Second, this study’s findings are based on buyer–supplier relationships in China, whose unique cultural features may limit the generalizability of the results to other settings.

Channel managers can structure exchanges by devising detailed contracts that align incentives and demonstrate commitment, which helps build trust in a relationship. Channel managers should also pay special attention to the contingency effects of their transactional and relational features.

This study offers the first explicit test of the dynamic contracts–trust relationship, thereby establishing a more refined understanding of interplay between contracts and trust.

Wall climbing robots' volume is needed to be very small in fields that workspace is limited, such as anti‐terror scouting, industry pipe network inspecting and so on. The purpose of this paper is to design a miniature wall climbing robot with biomechanical suction cups actuated by shape memory alloy (SMA) actuators.

Based on characteristics of biologic suction apparatuses, the biomechanical suction cup is designed first. Theory analysis of the suction cup is made considering elastic plate's deflection and SMAs constitutive model. A triangular close linkage locomotion mechanism is chosen for the miniature robot because of its simple structure and control. The robot's gait, kinematics, and control system are all illustrated in this paper.

Experiments indicate that the suction cup can be used as an adhesion mechanism for miniature wall climbing robots, and the miniature robot prototype with biomechanical suction cups can move in straight line and turn with a fixed angle on an inclined glass wall.

This paper describes how a miniature wall climbing robot with biomechanical suction cups actuated by SMA without any air pump is designed.

Environmental issues have become an important concern in modern supply chain management. The structure of closed-loop supply chain (CLSC) networks, which considers both forward and reverse logistics, can greatly improve the utilization of materials and enhance the performance of the supply chain in coping with environmental impacts and cost control.

A biobjective mixed-integer programming model is developed to achieve the balance between environmental impact control and operational cost reduction. Various factors regarding the capacity level and the environmental level of facilities are incorporated in this study. The scenario-based method and the Epsilon method are employed to solve the stochastic programming model under uncertain demand.

The proposed stochastic mixed-integer programming (MIP) model is an effective way of formulating and solving the CLSC network design problem. The reliability and precision of the Epsilon method are verified based on the numerical experiments. Conversion efficiency calculation can achieve the trade-off between cost control and CO₂ emissions. Managers should pay more attention to activities about facility operation. These nodes might be the main factors of costs and environmental impacts in the CLSC network. Both costs and CO₂ emissions are influenced by return rate especially costs. Managers should be discreet in coping with cost control for CO₂ emissions barely affected by return rate. It is advisable to convert the double target into a single target by the idea of “Efficiency of CO₂ Emissions Control Reduction.” It can provide managers with a way to double-target conversion.

We proposed a biobjective optimization problem in the CLSC network considering environmental impact control and operational cost reduction. The scenario-based method and the Epsilon method are employed to solve the mixed-integer programming model under uncertain demand.

The purpose of this work is to controllably synthesize a carbon aerogel with programmable functionally graded performance via a simple and effective strategy.

This work uses polyvinyl alcohol (PVA) via the controllable sol-gel, lyophilization, and carbonization approach to achieve a programmable carbon aerogel. This design has the advantages of low raw material and preparation cost, simple and controllable synthetic process and low carbonization temperature.

The thermal stability and microstructure of PVA aerogel can be controlled by the crosslinking agent content within a certain range. The crosslinking agent content and the carbonization temperature are the key factors for functionally graded programming of carbon aerogels, including microstructure, oxygen-containing functional groups and adsorption performance. The adsorption ratio and adsorption rate of uranium can be controlled by adjusting initial concentration and pH value of the uranium solution. The 2.5%25 carbon aerogel with carbonization temperature of 350 °C has excellent adsorption performance when the initial concentration of uranium solution is 32 ppm at pH 7.5.

As a new type of lightweight nano-porous amorphous carbon material, this carbon aerogel has many excellent properties.

This work presents a simple, low cost and controllable strategy for functionally graded programming of novel carbon aerogel. This carbon aerogel has great potential for application in various fields such as uranium recovery, wastewater treatment, sound absorption and shock absorption.

Drawing on signaling theory and the “signal transmission–interpretation–feedback” framework, this study explores the effects of perceived distributive justice and respect from managers on nurses' work meaningfulness and work effort in public hospitals in China and examines the moderating role of work self-efficacy.

We collected 341 paired questionnaires for nurses and managers from four public hospitals in China. The data were analyzed by structural equation modeling and hierarchical regression analysis.

Distributive justice and managers' respect for employees are positively related to work meaningfulness. Additionally, work self-efficacy negatively moderates this relationship. Work meaningfulness is positively related to work effort and fully mediates the relationships between perceived distributive justice and respect from the manager and work effort.

This study provides useful insights for healthcare organizations to improve nurses' work meaningfulness from the perspectives of their material and emotional needs, according to their work self-efficacy characteristics, thus promoting their work effort. The findings offer important guidance for improving the effectiveness of grass-roots human resources to cope with unpredictable situations such as the COVID-19 pandemic.

This study focuses on the organization's environmental factors that affect the primary staff's work meaningfulness. Further, it analyzes the differences in signal interpretation among nurses with different work self-efficacy characteristics, thus providing new insights into work meaningfulness. Through manager–nurse pairing data, it reveals the important role of work meaningfulness in motivating work effort.

The purpose of this paper is to investigate the mechanism how the platform obtains and uses undisclosed information to determine individual borrowers’ credit score and to examine the effectiveness of credit scoring in predicting default. The motivation stems from the fact that there is little evidence about the role of P2P platform, which has been positioned as a kind of information intermediary.

Using a sample of 5,176 unsecured P2P loans having expired before December 31, 2015 on Renrendai.com and an approach of two-stage regression, the paper first estimates the undisclosed information embedded in credit score by regressing credit score on four types of public information about a borrower’s creditworthiness. Then, the authors use a Logit regression to examine the role of the excess information in predicting the default probability.

The certification information provided by the platform is the most important determinant for a borrower’s credit score and the undisclosed information embedded in credit score can predict the loan performance better than the public information of posted listings. Moreover, the predictive ability of the undisclosed information is better for high-risk borrowers than for low-risk ones.

Providing a credit score for each individual is a way for P2P platforms to play an information intermediary role. More evidence about whether or how a platform plays its role are worthy to be exploited by investigating a platform’s operating policies in detail and doing cross-platform comparative studies.

The results about the effect of various types of information on loan performance can provide an insightful guidance for P2P platforms to optimize their mechanism on information disclosure and credit scoring.

The existing literature mainly focuses on the effects of information voluntarily disclosed by borrowers and the behaviors of investors on P2P lending outcomes. The paper highlights the information intermediary role played by the platform and presents empirical evidence that credit scoring for individual borrowers is a way for P2P platforms to promote the direct lending for individual.

The purpose of this paper is twofold: first, to explore how China uses a social credit system as part of its “data-driven authoritarianism” policy; and second, to investigate how datafication, which is a method to legitimize data collection, and dataveillance, which is continuous surveillance through the use of data, offer the Chinese state a legitimate method of monitoring, surveilling and controlling citizens, businesses and society. Taken together, China’s social credit system is analyzed as an integrated tool for datafication, dataveillance and data-driven authoritarianism.

This study combines the personal narratives of 22 Chinese citizens with policy analyses, online discussions and media reports. The stories were collected using a scenario-based story completion method to understand the participants’ perceptions of the recently introduced social credit system in China.

China’s new social credit system, which turns both online and offline behaviors into a credit score through smartphone apps, creates a “new normal” way of life for Chinese citizens. This data-driven authoritarianism uses data and technology to enhance citizen surveillance. Interactions between individuals, technologies and information emerge from understanding the system as one that provides social goods, using technologies, and raising concerns of privacy, security and collectivity. An integrated critical perspective that incorporates the concepts of datafication and dataveillance enhances a general understanding of how data-driven authoritarianism develops through the social credit system.

This study builds upon an ongoing debate and an emerging body of literature on datafication, dataveillance and digital sociology while filling empirical gaps in the study of the global South. The Chinese social credit system has growing recognition and importance as both a governing tool and a part of everyday datafication and dataveillance processes. Thus, these phenomena necessitate discussion of its consequences for, and applications by, the Chinese state and businesses, as well as affected individuals’ efforts to adapt to the system.

The purpose of this paper is to theoretically analyze and empirically test the business value of firm web visibility, including its relationship to advertising efficiency and long-term financial performance (i.e. shareholder value).

A conceptual framework is established to analyze firm value of web visibility through its market effects. Hypotheses on the associations between firm web visibility and advertising efficiency and shareholder value are tested by cross-sectional analysis of 1,331 firms in six industries and four industry sectors. The authors control for several firm- and industry-level factors.

The results consistently support the two hypotheses, i.e., first, a positive and significant relationship between firm web visibility and advertising efficiency; and second, a positive and significant relationship between firm web visibility and shareholder value.

In addition to increasing web traffic, firm web visibility has business value and helps to enhance advertising efficiency and shareholder value. Managers can use the web references as a valuable tool for marketing success when the use of traditional advertising reaches saturation. Managers should actively monitor and use web visibility as a web management measure in practice.

This research provides convincing evidence to support both short-term and long-term business value of web visibility and suggests that web visibility be recognized and managed as a market-based asset.

The issue of age in organizations has become increasingly salient given expanding age profiles, from millennials to baby boomers. The purpose of this article is to improve the understanding of how age affects individuals' work-related attitudes and behaviors, the authors take a life span perspective to investigate how age profiles moderate the relationship between job resources and work engagement and organizational citizenship behavior (OCB).

The authors collected responses from 270 employees of multinational firms operating in India and conducted multiple regression analyses to examine the hypotheses.

The authors found that age profiles are significant predictors of work engagement. Specifically, the relationship between development opportunities and work engagement was stronger for younger employees than for older employees. However, age profiles were neither positively related to OCB nor a moderator of the job resources–OCB relationship.

The findings provide empirical evidence of the life span perspective, suggesting that age profiles influence work engagement. This is pertinent for organizations offering employees development opportunities to enhance work engagement.