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The Romance of the Three Kingdoms (RTK) is probably the most popular classical novel in Chinese literature. Of more than 1,000 characters in this extensive, three‐volume novel, Kong Ming in RTK is widely seen by the Chinese as the most remarkable strategist. This paper attempts to develop a cognitive schema of Kong Ming on strategy.

First, the paper reviews broadly the traditionally, four most popular novels within the Chinese classical literature: The Romance of the Three Kingdoms, Water Margin, Journey to the West and A Dream of the Red Mansions. After emphasizing the role of the RTK in influencing Chinese strategic thinking, the paper utilizes the methods of textual analyses in research. Focusing on a specific episode of global strategy making and taking (Chapter 38), the methodology is explained.

From textual analysis, the paper presents as its finding a schematically linear, cognitive structure of the strategy process. It also presents the central role of the “Counselor of Strategy” in Chinese strategy making process. From this research, a Kong Ming‐grounded, cognitive model of strategy process is developed. If the RTK (more than say, any MBA program) continues to influence Chinese strategy processes, then fast strategic decision making (as exemplified in our analyses) may be one of the pivotal reasons for the equally fast rise of the Chinese economy in our global economic landscape.

Kong Ming (or Zhuge Liang) had been hailed by the Chinese with such lofty epithets such as the “Divine Strategist”. His exploits during the declining Han dynasty and emergence of the Three Kingdoms of Wei, Shu and Wu (220‐280 CE) are still cited by the Chinese people in their daily conversations on strategy. In this paper, we draw lessons for CEOs through a Kong Ming‐grounded model for strategy.

The purpose of the study is to investigate the possible role of annual report readability in accrual anomaly, shedding light on why investors fail to incorporate accruals information in a timely and unbiased manner beyond the original naive investor fixation explanation.

Using five proxies of annual report readability and available data over 1993–2017, we investigate whether accrual overpricing is more severe when annual reports are less readable.

We find little (substantive) evidence of accrual overpricing among high (low) readability firms. The readability effects are contingent on the level of business complexity and earnings management.

This study extends the original naive investor fixation explanation and documents annual report complexity as a market friction in explaining the accrual anomaly, contributing to the mispricing vs risk debate and supporting the efficient market hypothesis.

Low readability of annual reports is a red flag to investors.

This study provides support for regulatory initiatives aimed at enhancing readability of corporate disclosures to address market frictions and improve market efficiency.

Accrual anomaly has posed a challenge to the efficient market hypothesis. This study draws on and adds to the line of research indicating that annual report complexity is a friction erecting a barrier to transparency, hindering market efficiency. This study contributes to our understanding of the enigmatic accrual anomaly.

This study aims to propose a simple experimental method to distinguish the galvanic corrosion, crevice corrosion and self-corrosion in metal/carbon fiber reinforced polymer (CFRP) joints.

The corrosion behaviors of four different galvanic couples, whose anodes were Zn-coated DP590 steel and Al 6022, and cathodes were two kinds of CFRP, were investigated in immersion and GMW14872 cyclic conditions.

The results showed that the galvanic corrosion caused by direct contact between CFRP and metals was more serious than that caused by the jointing bolts. The corrosion damage caused by crevice corrosion was severer than that caused by galvanic corrosion. Self-corrosion was also significant, particularly under the cyclic salt spray condition.

Cyclic salt spray test may more reliably simulate the galvanic corrosion of a joint in industrial service environments, and real corrosion damage may be underestimated by a galvanic current measurement.

A deeper understanding of different corrosion mechanisms involved in CFRP/metal joints under different service conditions in industry has been given.

Corrosion is one of the common damage mechanisms in many engineering structures such as marine structures, petroleum pipelines, aerospace and nuclear reactor. However, the service performance of metal materials and structures is gradually degenerating with the increase of service life due to the rapid growth of corrosion damages. Thus, the coupled effects for corrosion damage in reliability analysis should be considered urgently. Then, the purpose of this paper is to develop the corrosion damage physical model and the corresponding reliability analysis methods, which consider the coupled effect of corrosion damage.

A failure physical model, considering the coupled effect of pitting growth, crack and crack propagation, is presented in this paper. Sequentially, the corrosion reliability with respect to pitting physical damage can be investigated. The presented pitting damage physical model is formulated as time-variant performance limit state functions, which include the crack transition, crack growth and fracture failure mechanics. The first-passage failure criterion is used to construct the corrosion reliability framework, involving in the pitting damage model with the increase of service life.

Results demonstrate that the multiplicative dimensional reduction (MDR) method behaves much better than FORM no matter in accuracy or efficiency. The proposed corrosion reliability method is applicable for dealing with the damage failure model of the structural pitting corrosion.

The MDR method is used to calculate the corrosion reliability index of a given structure with fewer function calls. Finally, an aeronautical metal material is used to demonstrate the efficiency and precision of the proposed corrosion reliability method when the failure physical model considering the coupled effects of mechanical stresses and corrosion environment is adopted.

At present, carbonated drinks such as cola are especially favored by the younger generation. But because of its acid, it often leads to tooth demineralization, resulting in “cola tooth”. However, the influence of cola on the corrosion resistance of passive film of TiA10 alloy restorative materials is rarely reported. The purpose of this study was to analysis the corrosion resistance, composition of the passive film of TA10 alloy in different concentrations of Cola.

The passive behavior of TA10 alloy in artificial saliva (AS) and Cola was studied by means of potentiodynamic polarization, electrochemical impedance spectroscopy, cyclic voltammetry, Mott-Schottky techniques and combined with X-ray photoelectron spectroscopy and Auger electron spectroscopy (AES) surface analysis.

With the increase of cola content, the self-corrosion current density of the alloy increases sharply, and the corrosion resistance of the passive film is the best in AS, while Rp in cola is reduced to half of that in AS. The thickness of the passive film in AS, AS +cola and cola is about 9.5 nm, 7.5 nm and 6 nm, respectively. The passive film in cola has more defects and the carrier density is 1.55 times as high as that in AS. Cola can weaken the formation process of the protected oxide, promote the formation of high valence Ti-oxides and increase the content of Mo-oxides in the passive film.

These results have important guiding significance for the safe use of the alloy in the complex oral environments.

This paper aims to investigate the effect of three-dimensional (3D) inlet guide vanes (IGVs) on performance of a centrifugal pump.

A design method for 3D IGVs is proposed based on the controllable velocity moment, which is determined by a fourth-order dimensionless function. Numerical simulation of the centrifugal pump with IGVs is carried out by solving the Reynolds-averaged Navier–Stokes equations. The method of frozen rotor is applied to couple the stationary and rotational domain.

The efficiency of pump with 3D IGVs is higher than that with 2D IGVs for most prewhirl angles, which validate the advancement of 3D IGVs on prewhirl regulation. The effect of prewhirl regulation at small flow rate is more significant than that at large flow rate.

A prediction model of velocity moment based on the Oseen vortex is proposed to describe the flow pattern downstream the IGVs.

The purpose of this paper is to propose that a firm could exploit the ties of interfirm network to access external network resources (NR) to assist its sensing and responding capabilities for the variability of business environment, thereby leading to superior organizational performance.

This study uses the survey data collected from 260 small- and medium-sized enterprises (SMEs) in Taiwan to examine the causal effects of hypotheses testing. By adopting structural equation modeling technology, the direct and mediating effects among the NR, sensing capability (SC), responding capability (RC) and firm performance (FP) are explored.

The result of this paper shows that a firm’s NR and its organizational capabilities are critical antecedents of FP. Moreover, the mediating testing identifies NR and FP as being mediated by a firm’s organizational agility (OA) and RC.

The findings of this paper provide practical evidence that a SME could gain benefits and advantages from the joint effect of integrating NR and OA to compete with global conglomerates. Thus, a SME must put more effort into developing and maintaining its interfirm network and then figuring out its effect with its internal agility process in order to surmount unexpected changes, create advantages of the first-mover and innovation activities and boost the FP.

This paper combines external NR and internal OA and offers a practical strategy to a SME, creating a unique competitive advantage for further development in a dynamic business environment.

The purpose of this study is to analysis the pitting corrosion on the mechanical behavior of E690 high-strength steel sandwich panel. The pitting corrosion depth and degree of pitting (DOP) damage were used to evaluate the mechanical behaviors such as peak load and specific energy absorption of E690 panel.

The mechanical behavior of quasi-static compression, low-speed impact and three-point bending of E690 panel after pitting corrosion was simulated by ABAQUS nonlinear finite element method.

The quasi-static compression and low-speed impact mechanical properties can be greatly reduced by the pitting corrosion of the panel core, the pitting corrosion of the outer panel shows no obvious effect. The mechanical properties decrease with the increase of the pitting corrosion depth and DOP, and the influence of DOP is greater than that of pitting corrosion depth. The DOP of outer panel has less effect on mechanical properties of three-point bending compared with that of the core. Therefore, the pitting corrosion in the core of panel should be strictly controlled to prevent adverse effects on the mechanical properties of the structure.

To make up for the deficiency of the research on the corrosion behavior of high-strength steel sandwich panel structure, this paper chose E690 high-strength steel panel as the research object, and nonlinear finite element method was adopted to simulate the influence of pitting corrosion coverage area and pitting depth on its mechanical property degradation. The quasi-static compression, low-speed impact and three-point bending mechanical properties of panel with various DOPs and pitting depths were systematic studied.

The purpose of this paper is to reveal the co-editing mechanism aiming at content creation, and an entry of online encyclopedia is taken as a case, for the purpose of promoting and enhancing the development of wiki-based digital humanities projects (WDHPs), specifically, the projects that focus on gathering contextual information in the culture heritage domain.

An exploratory study was conducted by three steps. A representative entry’s editorial records were reorganized to obtain a data set of discussion statements (n=608), based on which linked-structures were built, and PageRank algorithm was used to analyze the co-editing process. Skewness statistic was applied to measure the consensus of co-editing, and consensus evolution over time was explored. Linear or curve fitting was performed to analyze the correlation between consensus evolution and its influential factors.

In WDHPs, co-editing activity of content creation can be considered as a large-scale group discussion, consensus can evaluate the efficiency of co-editing, which evolves with time and is influenced by the number of statements, breadth and depth of argumentation structure. Taking “Mogao Grottoes” as an example, group discussions around 15 key issues dominate the content creating process, consensus is on a rise with time, finally reaches a relatively high level, and consensus evolution is more influenced by breadth than by depth of argumentation structure, which indicates that co-editing efficiency of “Mogao Grottoes” is fine and more argumentation in a depth manner should be guided.

For researchers of WDHPs, it is beneficial to apply online encyclopedia platform combining with consensus analysis to develop WDHPs. For designers of WDHPs, the elements related to argumentation structure can be absorbed into the design to promote co-editing in an effective manner. For DH researchers, the analytic procedure can be beneficial of revealing the interest of contributors in a specific DH field.

This research is novel in comprehensively understanding co-editing mechanism of content creation in WDHPs, resulting in a three-step analytic procedure of presenting co-editing process, evaluating and improving co-editing efficiency.

The paper aims to examine whether the daily conventional money market overnight rate influences the monthly investment rate of Islamic deposits in Malaysia. The traditional approach, which averages the high-frequency data to match the low-frequency data, results in information loss for the high-frequency data.

The paper uses the mixed data sampling (MIDAS) model to study the relationship between Islamic banking and conventional banking. The Malaysian data are used for the analysis as Malaysia has one of the most developed Islamic financial industries in the world, and it is well-known for its dual banking system.

The evidence shows that the conventional overnight rate has a positive effect on the Islamic deposit rate. The results are consistent for Islamic deposit rates with different maturities. The positive aggregate effect holds when the lag length of the daily conventional overnight rate goes up to 90 days. Additional evidence shows that the daily conventional overnight rate has a similar effect on the conventional deposit rate.

This paper documents that the relationship between Islamic banking and conventional banking is not monotonous. When high-frequency data is averaged with low-frequency data, the non-linear relationship will be masked. It highlights the importance of using high-frequency data to get a detailed picture.