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This study aims to explore the effect of chief executive officer education on firms’ action timing and acquisition performance in industry merger waves. In addition, this study investigated the moderating influence of CEO duality and firm cash flow on the relationship between education and entry timing.

Following the methodology for determining merger waves in previous studies, the authors identified 16 industry merger waves of Chinese listed firms from 2008 to 2019. Multiple linear regression was employed to examine the hypotheses.

The results showed that higher CEO education was associated with early participation in merger waves. CEO duality negatively moderated the education-entry timing relation. The effect of CEO education on entry timing was more pronounced when firms had higher cash flow. Moreover, more educated CEOs materially enhanced acquisition performance in merger waves.

Entry timing in industry merger waves has important implications, as early movers establish competitive advantages and achieve higher acquisition performance. However, the managerial characteristics determining entry timing have not received adequate attention. Meanwhile, studies examining the effect of CEO education on acquisitions are limited. This study explored the effect of CEO education on firms’ entry timing and acquisition performance in merger waves, thereby contributing to the literature on merger waves and managerial characteristics. This study’s findings regarding the moderators of the education-entry timing relation enrich the literature on corporate governance and agency theory.

Part building orientation (PBO) is an important factor affecting the quality of laser powder bed fusion (L-PBF), which can affect the surface quality and manufacturing cost. The purpose of this paper is to propose a PBO optimization method to optimize the surface roughness and molding time of parts at the same time on the premise of small calculation scale and arbitrary resolution.

Efficient and accurate evaluation is an important index of PBO optimization method. In this paper, a PBO optimization method based on scaling enumeration method is proposed, and the surface roughness and molding time of L-PBF parts are modeled as the objective evaluation function of PBO optimization process. To realize multi-objective optimization, an expert system is established, and the fuzzy multiple-attribute group decision-making theory is used to provide weights for each objective evaluation function.

Research shows that the scaling-enumeration method can optimize the surface roughness and molding time at the same time and get the best PBO. Compared with the traditional method, the surface roughness and molding time are reduced by 1.1% and 0.58%, respectively, and the operation scale of the scaling-enumeration method is reduced by 99% compared with the traditional method. PBO with arbitrary angular resolution can be achieved.

This paper presents a new method to optimize the forming direction of L-PBF parts. This method has small operation scale and accurate results, so it is meaningful for industrial application.

The purpose of this paper is to empirically examine the relationships between acquirer size and performance outcomes of the different process of acquisition in the Chinese context and the moderating effect of political connections on the size-performance relationship.

Building upon agency theory, the paper examines the relationship between acquirer size and acquisition announcement returns to find whether the acquirer size effect exists in China. Moreover, the paper investigates whether large firms can perform better in the long run arising from scale economy. Finally, the paper examines the moderating effect of political connections on the size-performance relationship. Accounting for the complexity of political connections in China, the paper uses two methods to capture political connections.

The paper finds that acquirer size plays a significant negative role on announcement returns, suggesting that the acquirer size effect also exists in China. However, acquirer size has a significant positive impact on long-term performance, indicating that large acquirers perform better in the integration process. Although no evidence shows that political connections can bring some off-setting benefits to acquirer size effect argued by Humphery-Jenner and Powell (2014), political connections, indeed, have a positive effect on mergers and acquisitions (M&As) announcement returns.

The paper contributes to the corporate characteristic, political connections and M&A performance literature. Due to agency problem and scale economy, the effect of firm size on acquisition performance varies with the stage of M&A. Political connections can bring some benefits to M&A deals.

The purpose of this paper is to provide new insights for managing knowledge reuse in terms of the duality of innovator personality. Continuously developing new products is crucial for firms to maintain and enhance their competitive advantages. However, the limited and highly specialized knowledge can cause innovators of firms to face difficulties in the process of new product development (NPD). In this setting, knowledge reuse becomes a solution that may benefit innovators to overcome the innovation dilemma. Given the fact that innovators with different personality are likely to form incongruent cognitions and affection on knowledge reuse, thus subsequently affecting the performance of NPD, there is an urgent need to investigate the effects of innovator personality in the entire process of knowledge reuse.

This paper exploits five-factor model (FFM) of personality to comprehensively investigate the dual effects of innovator personality in managing knowledge reuse based on the two distinct sets of knowledge reuse initiation and implementation.

By using the data from 981 innovators of knowledge-intensive firms in China, this study finds that the FFM traits of conscientiousness and agreeableness had opposing effects on initiation and implementation of knowledge reuse. While the FFM traits of emotional stability and openness to experience both positively affect the knowledge reuse initiation and implementation. Moreover, the FFM traits of extraversion benefit the shaping of knowledge reuse initiation whereas encumbering the implementation of knowledge reuse.

First, this study reveals the different roles of cognitive and affective traits of personality in shaping knowledge reuse. Second, this study exposes the role of innovator personality in determining the performance effects of knowledge reuse implementation. Third, this study highlights the dual effects of innovator personality in managing knowledge reuse. This study offers evidence for arranging the innovators with appropriate FFM traits in various stages of knowledge reuse.

The purpose of this paper is to establish the damage alarming indexes for ancient wood structures and study the damage sensitivity and noise robustness of these indexes under random excitation.

Xi’an Bell Tower is taken as a case in this paper to simulate the damage of ancient wood structures through finite element (FE) simulation and determine the satisfactory damage alarming indexes with wavelet packet energy spectrum.

The results of this paper show that: 1) the damage alarming indexes can effectively identify the damage of ancient wood structures, each index with a different damage sensitivity; 2) the energy ratio deviation is greater than the energy ratio variance and is close to the maximum variation of energy ratio; 3) the energy ratio deviation has a better alarming effect than the energy ratio variance during the initial period of the damage. With the accumulation of the damage, the energy ratio variance outperforms the energy ratio deviation; 4) the sensitivity of the energy ratio deviation and variance varies from positions, changing from the highest to lowest at the mortise-and-tenon joints, the beam mid-span and the plinth; 5) if signal to noise ratio (SNR) is 40db or larger, the indexes can accurately identify the damage of ancient wood structures. As SNR increases, the indexes will have an increasingly higher sensitivity and certain ability to resist noise.

The FE model is simpiy, it does not completely reflect Xi’an Bell Tower.

It will provide a theoretical basis for the damage alarming of Xi’an Bell Tower.

It makes structural health monitoring through structural vibration response under ambient excitation a new research field in damage detection as well as a positive way of ancient architecture protection.

This paper studies the damage alarming effect on ancient wood structures from different wavelet functions and wavelet packet decomposition levels. To study the effect under white noise environment, this paper adds Gaussian white noise with a SNR of 10, 20, 30, 40 and 50 db to the acceleration response signal of intact structure and damaged structure.

This paper seeks to examine the way quality management practices (QMPs) impact quality outcome, R&D process, and business performance, using investigation data from Chinese firms. The possible moderating effects of industrial types and competition on the above influencing relationships were investigated as well.

A two‐round questionnaire survey was conducted to 196 manufacturing and service firms in West China, and hypotheses were verified using a structural equation model with LISREL software.

The results suggest that quality management practices do not have a positive impact on firms' business performance directly, but have an indirect impact on business performance mediated by quality performance and R&D performance. Furthermore, the authors find that industrial type can moderate the relationships between quality management practices and business performance, while competition does not.

The findings make a significant contribution to understanding how QMPs impact firms' performance. In addition, the authors' research provides empirical evidence for the fact that QMPs' contribution to firms' financial and marketing performance is greater in service firms, which partly reflects the actual situation in China and other similar developing countries.

The purpose of this paper is to provide an improved structural design for accelerometers based on cantilever beam‐mass structure and offer the descriptions of sensor fabrication, packaging and experiments.

The cantilever beam‐membrane (CB‐membrane) structure is designed as the sensing element for piezoresistive accelerometers. In the CB‐membrane structure, a cantilever beam and two identical membranes as a whole part supports the proof mass. Four piezoresistors are distributed on the surface of the cantilever beam to form a Wheatstone bridge. Finite element method is used to carry out the structural analysis and determine the sensor dimensions. The sensor chip is fabricated by bulk micro‐machining technique, packaged in dual‐in‐line (DIP) way and tested.

Compared with the conventional cantilever beam‐mass (CB‐mass) structure, the CB‐membrane structure can improve the sensor's performances, including response frequency, output linearity and cross‐axis sensitivity. The results of simulation and experiments prove that the CB‐membrane accelerometer has good performances.

The accelerometer is simply packaged and the zero offset voltage has not been compensated. Moreover, the measured response frequency is lower than the simulated value. Further work and study are needed to solve these problems.

The accelerometer with CB‐membrane structure has good performances as the static and dynamic experiments show and is suitable to detect the spindle vibration of the machine tools.

The hydrodynamic characteristics of liquid film for bearings, especially water-lubricated bearings with a large length-to-diameter ratio, affect the dynamics behavior of rotor bearing systems. The purpose of this study is to carry out theoretical analysis and experiments to determine the hydrodynamic characteristics of water-lubricated journal bearings.

The finite difference method is adopted for the simulation of the characteristics of water-lubricated bearings. The comparison results between water-lubricated bearings with and without grooves, as well as with and without the consideration of the effects of rubber deformation, are presented. The test bearings, test bench, and monitoring system, especially the force exciter for the bearing experiment, are presented. Dynamic coefficient identification verification experiments were performed in different working situations. The obtained results include the calibration of magnetic force, two kinds of excitation, vibration data of the rotor system and dynamic coefficients.

The theoretical results demonstrate that the hydrodynamic effect was obvious when the speed was increased and that the water film had improved capability at a working speed of 1800 rpm. The identification results reveal the lubrication situation of the test bearing under low-speed and high-load conditions. Moreover, it was found that the liquid film was not continuous at low speeds.

The theoretical results can lead to the enhancement of the design level of water-lubricated rubber journal bearings with a large aspect ratio. The experimental results can lead to the improvement of the dynamic behavior design of rotor systems supported using water-lubricated bearings with a large length-to-diameter ratio.

The flexibly thin film grid pressure sensor is mainly used to detect the interface pressure distribution between touching objects. Aim at larger measurement error, the strip double sensing layer pressure sensor are designed and fabricated and tested.

Defects and characteristic of the flexibly thin film grid pressure sensor based on piezoresistive effect are analyzed and pointed out in this paper. After comparison of four sensors, the strip double sensing layer pressure sensor was thought to be best.

Experiment shows that the strip double sensing layer pressure sensor could eliminate the measurement error basically and illustrates the validity of measuring the interface pressure distribution between area touching objects.

In this paper, only the strip double sensing layer pressure sensor was used to verify the validity of measuring the static interface pressure distribution between peach and platform. But there also exists some problems such as the adhering reliability of electrode and the unevenness of sensing layer. These problems could be overcome in the future research if the fabricating procedure and ingredient of material could be adjusted correctly.

The strip double sensing layer pressure sensor could be applied to detect the static interface pressure distribution such as peach pressure distribution. For dynamic measurement, this research needs to be done further.

Strip double sensing layer pressure sensor with simple “interlayer” structure and with low manufacture cost is presented to basically eliminate the measurement error of interface pressure distribution of original sensor.

The purpose of this paper is to provide a picture of the current image and consumer beliefs of European food in mainland Chinese consumers’ minds.

A web-based survey was conducted for data collection in December 2013 with 541 participants from two Chinese cities: Shanghai and Xi’an. The participants reported about the image of European food and characterized European food according to 14 items for product-related beliefs and 18 items for perceived profiles. Descriptive analysis, cluster analysis and partial least squares regression were employed for data analyses.

Findings show that European food has a unanimously positive image among mainland Chinese consumers. Three consumer segments were distinguished based on attribute beliefs about European food: a positive-beliefs segment, a negative-beliefs segment and an unfamiliar segment. The characteristics of typical European food consumers were high income, having long overseas experience, having visited Europe or living in a big and developed city. In addition, “safe” and “upscale” were the most important attribute beliefs driving mainland Chinese consumers to have a positive image of European food; while “unfamiliar” and “sweet” were the most negative drivers of European food’s image.

This is the first study to present information about consumer beliefs, general image and consumer segments in relation to European food in mainland China. These insights can help European food marketers to better understand mainland Chinese consumers and the current image of their products in mainland China so that they can develop effective marketing strategies for this huge and potential food market.