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A wealth of studies have identified numerous antecedents to online self-disclosure. However, the number of competing theoretical perspectives and inconsistent findings have hampered efforts to obtain a clear understanding of what truly influences online self-disclosure. To address this gap, this study draws on the antecedent-privacy concern-outcome (APCO) framework in a one-stage meta-analytical structural equation modeling (one-stage MASEM) study to test a nomological online self-disclosure model that assesses the factors affecting online self-disclosure.

Using the one-stage MASEM technique, this study conducts a meta-analysis of online self-disclosure literature that comprises 130 independent samples extracted from 110 articles reported by 53,024 individuals.

The results reveal that trust, privacy concern, privacy risk and privacy benefit are the important antecedents of online self-disclosure. Privacy concern can be influenced by general privacy concern, privacy experience and privacy control. Furthermore, moderator analysis indicates that technology type has moderating effects on the links between online self-disclosure and some of its drivers.

First, with the guidance of the APCO framework, this study provides a comprehensive framework that connects the most relevant antecedents underlying online self-disclosure using one-stage MASEM. Second, this study identifies the contextual factors that influence the effectiveness of the antecedents of online self-disclosure.

Crowdsourcing platforms have emerged as an innovative way to generate ideas and solving problems. However, promoting sustained participation among crowdworkers is an ongoing challenge for most crowdsourcing platform providers. Drawing on self-determination theory, this study investigates the impacts of job autonomy on crowdworkers' sustained participation intention.

A survey of 212 crowdworkers from a leading crowdsourcing platform in China was conducted to empirically validate the model.

The empirical results lead to several key findings. First, the taxonomy of job autonomy in crowdsourcing contains three archetypes: work-scheduling autonomy, work-task autonomy, and work-method autonomy. Second, work-scheduling autonomy and work-method autonomy have more significant positive effects on temporal value than work-task autonomy, and this increase in temporal value increases crowdworkers' sustained participation intention. Third, work-task autonomy exerts a stronger influence on hedonic value than work-scheduling autonomy or work-method autonomy, and this increase in hedonic value also increases crowdworkers' sustained participation intention.

This study extends the crowdsourcing literature by examining the formation of crowdworkers' sustained participation and highlighting the role of differential effects of multidimensional job autonomy on crowdworkers' sustained participation. We believe that this study provides actionable insights into measures that promote crowdworkers' sustained participation in the crowdsourcing platform.

The engagement–addiction dilemma has been commonly observed in the information technology (IT) industry. However, this issue has received limited research attention in the information system (IS) discipline. Drawing on the stimulus–organism–response (SOR) framework, this study explores the engagement–addiction dilemma in the use of mobile games and highlights the impacts of game design features, namely, mobile user interface and mobile game affordance.

The research model was empirically validated using a longitudinal survey data from 410 mobile game users in China.

The empirical results offer several key findings. First, mobile user interface and mobile game affordance positively affect telepresence and social presence, which lead to meaningful engagement and mobile game addiction. Second, a high-quality of mobile user interface positively moderates the effects of mobile game affordance on telepresence and social presence.

This study contributes to the literature by theorizing and empirically testing the impacts of game design features on the engagement-addiction dilemma.

With the discussion on the linear relationship of determined material parameters, this study aims to propose a new method to analyze the deformation mechanism.

A modified constitutive model based on the hyperbolic sine Arrhenius equation has been established, which is applied to describe the flow behavior of Ti-6Al-4V alloy during the superplastic forming (SPF).

The modified constitutive model in this work has a good ability to describe the flow behavior for Ti-6Al-4V in SPF. Besides, a deformation map of titanium material is obtained based on the parameters. As the supplement, finite element models of high-temperature tensile tests are carried out as the application of the constitutive model.

The relationship between constitutive model parameters and forming mechanism is established, which is a new angle in rheological behavior research and constitutive model analysis.

The implementation of green collaboration has evolved from the interfirm level to the supply chain level, which requires more participation in information and manufacturing technologies. Despite many efforts to green supply chain collaboration (GSCC), the research on how to enhance it from a technological perspective remains unclear. Thus, this study aims to address this gap by exploring how to enhance green supplier, internal and customer collaboration through using information technology (IT) and advanced manufacturing technology (AMT), which further accelerates environmental and economic performance.

This study was conducted based on survey data collected from 213 manufacturing firms from different industries. The direct effects of the conceptual model were tested using the method of structural equation modeling (SEM), whereas the bootstrapping method tested the mediation effects of AMT between IT and GSCC.

The results show that green supplier collaboration (GSC) is significantly associated with environmental performance, while green customer collaboration (GCC) is positively related to economic performance. Green internal collaboration not only enhances green supplier and customer collaboration but also boosts environmental and economic performance. IT directly improves green internal collaboration but is negatively related to GSC and insignificantly related to GCC. However, AMT not only enhances green internal, supplier and customer collaboration but also mediates the relationship between IT and green supplier and customer collaboration.

This study offers comprehensive and novel insights into GSCC from a technological perspective, giving rise to meaningful contributions to green practices for both scholars and practitioners.

The purpose of this paper is to investigate effects of two integrative mechanisms of third-party logistics (3PL) integration (i.e. information sharing and process coordination) between users and providers on relationship satisfaction, and further explores how partnership-surrounding (e.g. legal unprotectability) and partnership-specific barriers (e.g. measurement difficulty and cooperation difficulty) influence 3PL integration in the context of Chinese 3PL practices.

Using data collected from 247 3PL users in China, this study uses the structural equation modeling method to empirically examine the relationship among partnership-surrounding/specific barriers, 3PL integration and relationship satisfaction.

The results show that information sharing has no significant effect on relationship satisfaction, while process coordination has a positive effect on relationship satisfaction and partially mediates the relationship between information sharing and relationship satisfaction. Furthermore, as partnership-specific barrier, measurement difficulty and cooperation difficulty are negatively related to information sharing and process coordination. Surprisingly, as partnership-surrounding barrier, legal unprotectability is not significantly related to information sharing but is positively related to process coordination.

As a comprehensive study on 3PL user-provider relationship in China, this study extends existing 3PL literature by providing evidence about the importance of 3PL integration and different types of barriers to 3PL integration, also providing managerial implications for 3PL users, providers, law and regulation makers about how to better implement 3PL integration in China.

This study explores whether the peer effects of internationalization exist within the subdivision industry of enterprises in the engineering field and assesses the imitation paths for the peer engineering enterprises within the industry when implementing internationalization strategies under the peer effects.

This study collected secondary and objective data on 38 Chinese engineering enterprises from the Engineering News-Record's list of the top 250 international contractors between 2013 and 2021. It employed a regression analysis to test the research hypotheses.

The findings reveal that in the process of internationalization: (1) peer effects exist within the subdivision industry of internationalization of engineering enterprises; (2) engineering enterprises within the same industry and region imitate each other; (3) non-state-owned engineering enterprises imitate state-owned engineering enterprises within the same industry; and (4) in the industry follower–leader imitation process, industry followers imitate leaders according to enterprise size and return on assets.

The results contribute to a better understanding of how peer effects influence engineering enterprises' internationalization process. This study also proposes imitation paths based on the law of imitation to provide recommendations for engineering enterprises' better development in the international market.

The paper aims to evaluate the influence of atmospheric environment on the conductivity of nanoscale copper films sputtered on polyester substrates; process parameters of optimal conductivity were firstly analyzed by orthogonal test scheme design, and then the surface morphology, crystal structures and conductivity of samples were performed after samples were placed in the atmospheric conditions for some time according to the optimization of process parameters.

Nanoscale copper films was prepared by RF (radio frequency) magnetron sputtering and low-temperature plasma technology with polyester fabrics as substrates and metal copper as targets under the conditions of low temperature and high vacuum.

The experimental results showed that copper films were broken and the continuity of samples was destroyed after 60 days, while exposed in atmospheric environment for 90 days, cracks of copper films gradually expanded, there was no change in the atomic species for samples placed in the atmospheric conditions. However, the conductivity of the samples hardly had changed with the ambient temperature, humidity and degree of water washing, which is mainly decided by the internal structures of substrates.

This paper has some theoretical and applicable value to the functional textile.

Emerging markets are characterized by weak institutions and strong relationships, which give rise to different market characteristics in supply chain relationships. This study investigates the impact of customer concentration on suppliers' real earnings management.

Based on China's relationship-based transaction, this study selects 2007–2019 Shenzhen and Shanghai Stock Exchange A-share manufacturing listed companies as the research samples. The empirical analysis is derived from the ordinary least square regression model with industry and year fixed effects, and cross-sectional analysis is used for further analysis.

It is found that the higher the degree of customer concentration, the more likely a company is to engage in real earnings management mainly through discretionary expenses instead of accrual-based earnings management. Further research shows that when suppliers provide customers with higher commercial credit and make more relationship-specific investments, and when major customers are also major suppliers, the effect of customer concentration on real earnings management is more significant. It can be seen from the results that high customer concentration is beneficial for suppliers to cooperate with major customers in emerging markets.

This research expands the relationship between customer relationship-based transaction and earnings management from the perspective of collaboration. These conclusions are of great significance for market regulators to reform information disclosure related to customers and for participants to pay attention to the composition of major customers of the company.

The use of conductive yarns or wires to design and construct fabric-based strain sensors is a research area that is gaining much attention in recent years. This is based on a profound theory that conductive yarns will have a variation in resistance if subjected to tension. What is not clear is to which types of conductive yarns are most suited to delivering the right sensitivity. The purpose of this paper is to look at strain sensors knitted with conductive composite and coated yarns which include core spun, blended, coated and commingled yarns. The conductive components are stainless steel and silver coating respectively with polyester as the nonconductive part. Using Stoll CMS 530 flat knitting machine, five samples each were knitted with the mentioned yarn categories using 1×1 rib structure. Sensitivity tests were carried out on the samples. Piezoresistive response of the samples reveals that yarns with heterogeneous external structures showed both an increase and a decrease in resistance, whereas those with homogenous structures responded linearly to stress. Stainless steel based yarns also had higher piezoresistive range compared to the silver-coated ones. However, comparing all the knitted samples, silver-coated yarn (SCY) proved to be more suitable for strain sensor as its response to tension was unidirectional with an appreciable range of change in resistance.

Conductive composite yarns, namely, core spun yarn (CSY1), core spun yarn (CSY2), silver-coated blended yarn (SCBY), staple fiber blended yarn (SFBY) and commingled yarn (CMY) were sourced based on specifications and used to knit strain sensor samples. Electro-mechanical properties were investigated by stretching on a fabric tensile machine to ascertain their suitability for a textile strain sensor.

In order to generate usable signal for a strain sensor for a conductive yarn, it must have persistent and consistent conductive links, both externally and internally. In the case of composite yarns such as SFBY, SCBY and CMY where there were no consistent alignment and inter-yarn contact, resistance change fluctuated. Among all six different types of yarns used, SCY presented the most suitable result as its response to tension was unidirectional with an appreciable range of change in resistance.

This is an original research carried out by the authors who studied the electro-mechanical properties of some composite conductive yarns that have not been studied before in textile strain sensor research. Detailed research methods, results and interpretation of the results have thus been presented.