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This study aims to propose a series of numerical and surrogate models to investigate the aerodynamic pressure inside cracks in high-speed railway tunnel linings and to predict the stress intensity factors (SIFs) at the crack tip.

A computational fluid dynamics (CFD) model is used to calculate the aerodynamic pressure exerted on two cracked surfaces. The simulation uses the viscous unsteady κ-ε turbulence model. Using this CFD model, the spatial and temporal distribution of aerodynamic pressure inside longitudinal, oblique and circumferential cracks are analyzed. The mechanism behind the pressure variation in tunnel lining cracks is revealed by the air density field. Furthermore, a response surface model (RSM) is proposed to predict the maximum SIF at the crack tip of circumferential cracks and analyze its influential parameters.

The initial compression wave amplifies and oscillates in cracks in tunnel linings, resulting from an increase in air density at the crack front. The maximum pressure in the circumferential crack is 2.27 and 1.76 times higher than that in the longitudinal and oblique cracks, respectively. The RSM accurately predicts the SIF at the crack tip of circumferential cracks. The SIF at the crack tip is most affected by variations in train velocities, followed by the depth and length of the cracks.

The mechanism behind the variation of aerodynamic pressure in tunnel lining cracks is revealed. In addition, a reliable surrogate model is proposed to predict the mechanical response of the crack tip under aerodynamic pressures.

This paper aims to reduce and eliminate the abnormal peaks which, because of the reflection in the process of laser detection, make it easier to proceed with further analysis.

To solve the above problem, an abnormal data correction algorithm based on histogram, K-Means clustering and improved robust locally weighted scatter plot smoothing (LOWESS) is put forward. The proposed algorithm does section leveling for shear plant first and then applies histogram to define the abnormal fluctuation data between the neighboring points and utilizes a K-Means clustering to eliminate the abnormal data. After that, the improved robust LOWESS method, which is based on Euclidean distance, is used to remove the noise interference and finally obtain the waveform characteristics for next data processing.

The experiment result of liner tool mark laser test data correction demonstrates the accuracy and reliability of the proposed algorithm.

The study enables the following points: the detection signal automatic leveling; abnormal data identification and demarcation using K-Means clustering and histogram; and data smoothing using LOWESS.

As mobile augmented reality (AR) games enter the maturity stage, understanding how to improve players’ continuance use intention with mobile AR games is critical. Drawing upon the uses and gratifications (U&G) theory, the purpose of this paper is to investigate the effects of four major gratifications – content, process, social and technology – and other factors on continuance intention to play mobile AR games.

Data collected from 280 Pokémon Go players were used to address research questions. Partial least squares method was employed to assess the relationships in the model and multigroup analysis was conducted based on survey participants’ demographics and their gaming experience.

Content gratification (i.e. catching Pokémon), process gratification (i.e. entertainment), game knowledge and achievement drive players’ continuance use intention. However, social and technology gratifications do not influence players’ continuance use intention. Multigroup analysis suggests that mobile AR game developers should capitalize on the fact that different types of gratifications prompt continuance use intention of different user segments in terms of demographics and experience in general mobile games and Pokémon Go.

The user behavior of mobile AR games has been studied at the early stage of the games, with less attention to variable continuance use intentions across different user segments. This paper attempts to fill the gap by extending the U&G theory to continuance use intention of mobile AR games at the maturity stage and further investigating the importance of player heterogeneity in continuance use intention with mobile AR games. The findings of this study contribute to the literature on U&G, continuance use intention and mobile AR games.

This paper extends the current literature on app engagement to identify dynamic factors that affect app engagement and the value-creation pathway that connect these factors with app engagement.

Survey data were collected from 299 app users to test the proposed research model.

The study found that the perceived effectiveness of evolution content and that of evolution speed impose both individual and joint positive effects on app identity, which serves as the mediation mechanism that connects these dynamic factors with app engagement.

This study takes the user perspective to explore how user perceptions of the effectiveness of app evolution content and speed, which represent unique user experiences in the app context, cultivate app engagement by enhancing app identity. Specifically, this study reveals the intertwined relationship among perceived effectiveness of app evolution, app identity, and app engagement.

This study aims to empirically examine knowledge management practices in China with the purpose to provide a holistic view regarding the current status of knowledge management at both national and organizational levels.

Using a survey method, this study collected primary data from organizations across several regions in China. The data were analyzed to detect possible relationships among institutional force, organizational culture and knowledge management process in Chinese organizations. More specifically, to what extent are these relationships moderated by national culture?

While knowledge management practices in China were partly influenced by institutional forces, most of the predicted connections between organizational culture and knowledge management were supported. In addition, the dynamic nature of national culture is predominant, that pervasively influencing knowledge management processes and thus contextualization determines how knowledge is being managed in China. Indeed, the ideologies of relationships and trust are key vehicles for knowledge management in the Chinese organizations.

This study comprehensively reviews existing literature to form an integrative framework, which is under explored in a Chinese context. Such initiative helps scholars and practitioners to gain a full understanding of knowledge management, in general, in the Chinese business environment in particular.

This paper provides a detailed and empirical insight into the knowledge management practices in Chinese organizations and suggests that knowledge management in a distinctive and yet diverse cultural context should be considered with caution.

Previous studies have investigated the influence strategy–economic satisfaction links within a pairwise framework. This study aims to reexamine this issue in a network context from both the structural and relational embeddedness perspectives.

An ego network approach in which the network consists of a focal distributor, other distributors and alternate manufacturers is adopted to measure the distributor’s network. Drawing on data from 124 distributors from China’s tire industry, a hierarchical multiple regression analysis is used to test the hypotheses.

The empirical results find a positive relationship between a manufacturer’s noncoercive influence strategies and the distributor’s economic satisfaction and an inverse U-shaped relationship between coercive influence strategies and economic satisfaction. It discusses the joint effects of coercive and noncoercive influence strategies and finds that the former mitigate the positive effects of the latter and that the latter flatten the inverse-U shaped effect of the former. Further, when a distributor spans rich structural holes, the effects of coercive and noncoercive influence strategies on economic satisfaction weaken. When a distributor has strong ties with its network members, the effects of noncoercive influence strategies are mitigated, while the effects of coercive influence strategies are enhanced.

This study provides implications for manufacturers, particularly concerning how to properly exert influence strategies to improve distributors’ economic satisfaction. Manufacturers should consider the attributes of the networks in which the distributors are embedded, involving structural holes and tie strength. They should also carefully use the two influence strategies simultaneously.

This study contributes to the influence strategy literature by incorporating a network perspective by empirically examining the different moderating effects of structural holes and tie strength; provides a new and powerful explanation for the effects that coercive influence strategies have on economic satisfaction by testing an inverse U-shaped effect; and examines the effects of the interaction of two strategies.

This paper aims to focus on the preparation of Kevlar fiber (KF) and alkaline hydrolyzed KF (KF-H) to improve the dispersed condition of polyaniline (PAn), as the aggregation of PAn would lead to some adsorption sites buried. And then the materials were used to enrich anionic dye Congo red (CR) from aqueous solution.

The materials (KF@PAn and KF-H@PAn) were designed by means of “diffusion-interfacial-polymerization” under mild condition as high affinity due to the structural properties of PAn, KF and KF-H. The dispersed degree of PAn on the surface of KF and KF-H was validated according to adsorption efficiency for CR.

The content of PAn introduced was not beyond 20 wt.%, while adsorption capacity for CR was significantly enhanced by 4–8 times (on the basis of kinetic data) according to the calculation only by the content of PAn due to KF and alkaline hydrolyzed KF exhibited almost no adsorption for CR, indicating dispersed situation of PAn coating was greatly enhanced and more active sites exposed, which was favorable for the adsorption process. Presence of NaCl would exhibit a more or less positive effect on CR uptake, suggesting the materials could be used for high salt environment.

The investigated means of dispersed degree of PAn on the surface of KF and KF-H are the further and future investigation.

This study will provide a method to improve the dispersed situation of PAn and a theoretical support to treat anionic dyes from aqueous solution especially for salt environment.

The results showed that the dispersed condition of PAn on the surface of KF and KF-H was greatly improved. According to the adsorption capacities for CR, it can be concluded that part of adsorption sites were buried due to the aggregation of PAn, and introduction of KF and KF-H, buried adsorption sites decreased greatly. This study will provide a method to decrease buried adsorption sites of PAn and a contribution for their convenient application in wastewater treatment especially for high salt environment.

This study aims to minimize the research gap by finding out what are the current state of knowledge management (KM) in the Chinese private science and technology organizations, the essential factors for promoting KM behaviors and the role of knowledge-oriented leadership in determining employees’ KM behaviors. Specifically, this research attempts to create a theoretical framework, which can be used to facilitate KM implementation in general, in the Chinese context in particular.

Semi-structured interviews with executives, senior managers and specialists were used to capture interviewees’ responses to the research question. The responses were analyzed with Nvivo to detect the obstacles of KM behaviors within Chinese private science and technology organizations.

This study highlights that poor KM behaviors are caused by knowledge-oriented leaders’ weak awareness of the KM values, and also these leaders are not equipped with the necessary knowledge-oriented leadership skills. As a result, there is a lack of knowledge sharing and knowledge inheritance. To respond to the identified KM related issues, while maximizing the KM values, some effective countermeasures focusing on the strategic, managerial as well as operational levels are proposed.

There is a need for knowledge-oriented leaders to recognize the growing significance of KM practices, and to increase the level of awareness of KM values. To achieve such ambition, they need to build a corporate knowledge culture, which promotes knowledge development, application, preservation, sharing and inheritance.

This study contributes to deepening the understandings of the linkage between knowledge-oriented leadership and KM behaviors, which is of great significance to promote the soft power of KM on employees’ attitudes and behaviors.

Consumers’ evaluation of online review helpfulness has been widely examined. The extant literature suggests that the attributes of review content (e.g. review length and extremity) influence review helpfulness. However, review length cannot fully reflect the richness of the review content. Anchoring on information diagnosticity and extremity bias, this study aims to explore the effect of review comprehensiveness on its helpfulness.

Field observations were obtained from 11,812 online restaurant reviews on a popular restaurant review platform. A controlled experiment was conducted to further delineate the effect of review comprehensiveness.

Review comprehensiveness moderates the effects of review length and an extremely negative review on helpfulness. It also confirms that for reviews of the same length, one covering more aspects is perceived by consumers as more helpful.

Different aspects of information in a review can efficiently assist decision-making. The results suggest that review platforms can better design their interface by providing separate areas for different product aspects. The platform can then receive more comprehensive and helpful reviews and increase the diagnosticity of these.

The study enriches the literature by introducing review comprehensiveness and examining the joint effects of review length and comprehensiveness on helpfulness. It also contributes to the literature by indicating how to reduce the effect of review extremity.

This paper aims to study the material conscious information network (MCIN) to present new models of clothing products and persons and propose new crowd-designing patterns to reconstruct an improved supply–demand relationship in clothing industry.

This paper aims to study the MCIN to present new models of clothing products and persons and propose new crowd-designing patterns to reconstruct an improved supply–demand relationship in clothing industry.

At last, this paper implements a prototype system of novel e-commerce platform based on the CDCI to illustrate the effectiveness and soundness of the CDCI modeling.

Different from most related works just focusing on the physiology dimension in the matching of customer and clothing, this paper proposes that the dimension of physiology, character, knowledge and experience should be synthetically considered.