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The purpose of the work is to provide a comprehensive review of the digital image correlation (DIC) technique for those who are interested in performing the DIC technique in the area of manufacturing.

No methodology was used because the paper is a review article.

no fundings.

Herein, the historical development, main strengths and measurement setup of DIC are introduced. Subsequently, the basic principles of the DIC technique are outlined in detail. The analysis of measurement accuracy associated with experimental factors and correlation algorithms is discussed and some useful recommendations for reducing measurement errors are also offered. Then, the utilization of DIC in different manufacturing fields (e.g. cutting, welding, forming and additive manufacturing) is summarized. Finally, the current challenges and prospects of DIC in intelligent manufacturing are discussed.

The purpose of this research is to draw on the elaboration likelihood model (ELM) to examine users' information adoption intention in online health communities (OHC).

The authors collected 350 valid responses using a survey and conducted the moderated regression analysis to examine the research model.

The results indicated that users' information adoption intention is influenced by both central cues (argument quality) and peripheral cues (source credibility and emotional support). In addition, self-efficacy moderates the effect of both central cues and peripheral cues on information adoption intention.

Previous research has focused on the effect of individual motivations such as reciprocity and benefits on user behavior, and has seldom disclosed the influencing process of external factors on OHC users' behavioral decision. This research tries to fill the gap by adopting ELM to uncover the mechanism underlying OHC users' information adoption.

Platform ecosystem governance is a decisive issue for orchestrators, as the motivation and behaviors of the complementors in an ecosystem can be distinctly different, shaped by the specific arrangements they have within the ecosystem. However, knowledge about adaptation in the governance of platform ecosystems is quite limited. First, the authors hardly know which obstacles are arising for orchestrators due to typical governance settings and their consequences. Second, the authors know less about governance strategies by orchestrators that help deal with these obstacles.

The authors follow an inductive, multistep case-study-based approach with multiple cases using guidelines proposed by Yin (2018). Based on predefined criteria, the authors selected 41 platform ecosystems with a “hub and spoke” system within and across several industries and collected a wide range of data. The authors conducted 14 interviews with executives of these platform ecosystems to gain further insights, transcribed and/or summarized all interviews, and analyzed the data.

Based on the dataset, the authors identify four significant obstacles and ten strategies of orchestrators in platform ecosystems. This approach allows us to gain insight into innovative approaches orchestrators conduct to cope with these challenges.

The authors already have a broad range of studies on ecosystem governance in the literature. However, research dealing with the dynamics of governance regimes is quite rare. The study examines how orchestrators of platform ecosystems react to emerging obstacles they are confronted with during the evolution of their platform ecosystems. Partly, these strategies might be expected, but mostly they show innovative approaches for handling these obstacles that have not been reported in research so far.

Given the progressive rise of online health communities (OHC) that have predominantly changed health delivery services, healthcare organizations still face tremendous challenges of low patient participation and lack of high-quality contribution to OHC. Prior scholars indicated that inducing patient value co-creation behavior (VCB) is substantially beneficial for the sustainable growth of OHCs. However, what drives patients' behavior to co-create value is still unknown. To fill this important gap, this study used the service-dominant logic of value co-creation theory and face (mianzi in Chinese) literature to discover how patient co-creation attitude (CA) affects patient VCB. Also, this study aimed to explore the joint mechanism of how face gain (FG) and face loss (FL) impact patients' VCB in OHCs.

The survey data of 322 patients actively using OHC in China were analyzed via partial least squares structural equation model (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA).

The results revealed that patient CA positively influences VCB, that is participation behavior (PB) and citizenship behavior (CB). Face gain (FG) strengthens the impact of CA and patient PB and CB, whereas face loss (FL) weakens the impact of CA and patient PB and CB. Furthermore, the fsQCA findings signify the robustness of the study model.

This study explores the multifaceted mechanism of patient value co-creation in OHC and discloses the crucial role of face for the first time. Further, the novel findings of this study provide a robust framework for advancing the understanding of important drivers of patient VCBs that significantly helps healthcare service providers and OHC managers to sustain OHCs.

This paper investigates the impact of credit risk shocks on the evolution of banking efficiency in China.

This paper introduces credit risk as a bad output into a bootstrap data envelopment analysis (bootstrap-DEA) model.

During a credit risk shock, the efficiency levels of both state-owned commercial banks and joint-stock commercial banks are significantly higher than those of urban/rural commercial banks, and the efficiency differences between these banks further increase during a period of economic slowdown. This paper also finds that the efficiencies of joint-stock commercial banks are the most sensitive to credit risk shocks; these banks are the first to be affected and the first to completely adjust. However, urban/rural commercial banks adjust very slowly.

Most scholars still use the traditional DEA method to estimate China's banking efficiency. The bootstrap-DEA method is clearly able to obtain a more exact estimated efficiency score. In fact, in comparison with the bootstrap-DEA model, we found that the traditional DEA method overestimates China's banking efficiency, and this is an especially serious problem for those banks that have a high efficiency score.

The flexible printed circuit board (FPCB) can be an alternative to the rigid printed circuit board because of its excellent flexibility, twistability, and light weight. Using FPCB to construct personal computer (PC) motherboard is still rare. Therefore, the present study aims to investigate the fluid‐structure interaction (FSI) behaviors of the newly proposed FPCB motherboard under fan‐flow condition in the PC casings.

The deflection and stress induced, which are usually ignored in the traditional rigid motherboard, are the main concern in the current FPCB motherboard studies. Only a few studies have been conducted on the effect of inlet locations, effect of inlet sizes, effect of multi‐inlets, and effect of a two‐fan system. These numerical analyses are performed using the fluid flow solver FLUENT and the structural solver ABAQUS; they are real‐time online coupled by Mesh‐based Parallel Code Coupling Interface (MpCCI).

A smaller inlet size can cause higher deflection and stress fluctuations, but the fluctuations can be reduced by incorporating the multi‐inlets design. In addition, the inlet locations and two‐fan system can prominently affect the magnitudes of the deflection and stress induced.

The current study provides better understanding and allows designers to be aware of the FSI phenomenon when dealing with the FPCB motherboard. Although the present study primarily focuses on the motherboard, the findings could also contribute valuable information for other FPCB applications.

The present study extends the FSI investigation from the previous novel approach of FPCB motherboard, and uniquely explores the behaviors of the FPCB motherboard inside different PC casings.

In this paper the interconnectedness among financial institutions and the level of systemic risks of four types of Chinese financial institutions are investigated.

By the means of RAS algorithm, the interconnection among financial institutions are illustrated. Different methods, including Linear Granger, Systemic impact index (SII), vulnerability index (VI), CoVaR, and MES are used to measure the systemic risk exposures across different institutions.

The results illustrate that big banks are more interconnected and hold the biggest scales of inter-bank transactions in the financial network. The institutions which have larger size tend to have more connection with others. Insurance and security companies contribute more to the systemic risk where as other institutions, such as trusts, financial companies, etc. may bring about severe loss and endanger the financial system as a whole.

Since other institutions with low levels of regulation may bring about higher extreme loss and suffer the whole system, it deserves more attention by regulators considering the contagion of potential risks in the financial system.

This study builds a valuable contribution by examine the systemic risks from the perspectives of both interconnection and tail risk measures. Furthermore; Four types financial institutions are investigated in this paper.