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This study aims to examine the antecedents of knowledge-seeking intentions (SIs) and efforts within new product development (NPD) teams.

Data was collected from 331 employees affiliated with 29 NPD teams across 18 Chinese firms in five high-tech and knowledge-based industries via an online assessment and a survey. Hierarchical linear modelling was used to test the hypotheses using HLM and Mplus software.

The results of this study show that intrinsic task motivation (IM) and personal task experience (TE) positively relate to SIs, whereas leadership support (LS) and shared culture (SC) negatively relate to knowledge-seeking efforts (SEs). SIs partially mediate the relationship between IM and SEs, while they fully mediate the relationship between TE and SEs. Additionally, customer orientation (CO) positively moderates the relationship between SIs and SEs.

Data collection was completed online by relying on an existing version of the Abedi Creativity Test. The samples involve 18 companies in a High-Tech Development Zone in China, which indicates limited generalizability.

Effective NPD depends on successful marketing–R&D integration and knowledge exchange within the NPD team. Besides, organizations need to find ways to stimulate NPD team members’ IM and also through various ways to inspire more efforts from team members under the condition of supportive leadership and culture.

This study contributes to the knowledge management and marketing literature on NPD teamwork by examining knowledge-seeking phenomena from the perspective of the internal knowledge market and contributes to knowledge-seeking research by revealing the antecedents of SIs and SEs at both the individual and organizational level.

Understanding the fluid flow through rock masses, which commonly consist of rock matrix and fractures, is a fundamental issue in many application areas of rock engineering. As the equivalent porous medium approach is the dominant approach for engineering applications, it is of great significance to estimate the equivalent permeability tensor of rock masses. This study aims to develop a novel numerical approach to estimate the equivalent permeability tensor for fractured porous rock masses.

The radial point interpolation method (RPIM) and finite element method (FEM) are coupled to simulate the seepage flow in fractured porous rock masses. The rock matrix is modeled by the RPIM, and the fractures are modeled explicitly by the FEM. A procedure for numerical experiments is then designed to determinate the equivalent permeability tensor directly on the basis of Darcy’s law.

The coupled RPIM-FEM method is a reliable numerical method to analyze the seepage flow in fractured porous rock masses, which can consider simultaneously the influences of fractures and rock matrix. As the meshes of rock matrix and fracture network are generated separately without considering the topology relationship between them, the mesh generation process can be greatly facilitated. Using the proposed procedure for numerical experiments, which is designed directly on the basis of Darcy’s law, the representative elementary volume and equivalent permeability tensor of fractured porous rock masses can be identified conveniently.

A novel numerical approach to estimate the equivalent permeability tensor for fractured porous rock masses is proposed. In the approach, the RPIM and FEM are coupled to simulate the seepage flow in fractured porous rock masses, and then a numerical experiment procedure directly based on Darcy’s law is introduced to estimate the equivalent permeability tensor.

The weld joint of large thin-wall metal parts which deforms in manufacturing and clamping processes is very difficult to manufacture for its shape is different from the initial model; thus, the space normals of the part surface are uncertain.

In this paper, an effective method is presented to calculate cutter location points and to estimate the space normals by measuring some sparse discrete points of weld joint. First, a contact-type probe fixed in the end of friction stir welding (FSW) robot is used to measure a series of discrete points on the weld joint. Then, a space curve can be got by fitting the series of points with a quintic spline. Second, a least square plane (LSP) of the measured points is obtained by the least square method. Then, normal vectors of the plane curve, which is the projection of the space curve on the LSP, are used to estimate the space normals of the weld joint curve. After path planning, a post-processing method combing with FSW craft is elaborated.

Simulation and real experiment demonstrate that the proposed strategy, which obtains cutter locations of welding and normals without measuring the entire surface, is feasible and effective for the FSW of large thin-walled complex surface parts.

This paper presents a novel method which makes it possible to accurately weld the large thin-wall complex surface part by the FSW robot. The proposed method might be applied to any multi-axes FSW robot similar to the robot studied in this paper.

Although governments have used social media platforms to interact with the public in an attempt to minimize anxiety and provide a forum for public discussion during the pandemic, governments require sufficient crisis communication skills to engage citizens in taking appropriate action effectively. This study aims to examine how the National Health Commission of China (NHCC) has used TikTok, the leading short video–based platform, to facilitate public engagement during COVID-19.

Building upon dual process theories, this study integrates the activation of information exposure, prosocial interaction theory and social sharing of emotion theory to explore how public engagement is related to message sensation value (MSV), media character, content theme and emotional valence. A total of 354 TikTok videos posted by NHCC were collected during the pandemic to explore the determinants of public engagement in crises.

The findings demonstrate that MSV negatively predicts public engagement with government TikTok, but that instructional information increases engagement. The presence of celebrities and health-care professionals negatively affects public engagement with government TikTok accounts. In addition, emotional valence serves a moderating role between MSV, media characters and public engagement.

Government agencies must be fully aware of the different combinations of MSV and emotion use in the video title when releasing crisis-related videos. Government agencies can also leverage media characters – health professionals in particular – to enhance public engagement. Government agencies are encouraged to solicit public demand for the specific content of instructing information through data mining techniques.

This paper aims to provide a theoretical frame and practical experience for understanding and improving knowledge creation in the RIC. This paper proved through an empirical study that knowledge transfer, knowledge assimilation and knowledge sharing between firms in a resource-based industry chain (RIC) have positive influence on knowledge creation.

A theoretical model covering knowledge transfer, knowledge assimilation, knowledge sharing and knowledge creation is established in this paper. The research object is the phosphorus chemical industry chain in central Guizhou.

The findings of this paper provide a theoretical frame and practical experience for understanding and improving knowledge creation in the RIC.

The subjective measures of knowledge capacities present a serious limitation. Another limitation is that the authors examined knowledge creation within the context of RIC. The cross-sectional design prevented the authors from studying causal relationships among the variables.

First, it contributes to the knowledge creation of inter-organization literature. Second, it contributes to the studies of knowledge creation in supply chains. Third, this study demonstrates the importance of investigating the strong network embeddedness and industry property of RIC, which have a critic effect on the capabilities of knowledge sharing, transfer and assimilation.

Error management has begun to receive growing attention from both academic scholars and industry practitioners in marketing. However, the impacts of error management on consumers remain understudied. Taking data breach as an increasingly recognized error in the modern service industry, this paper aims to explore the impact of hotels’ error management on consumer attitudes and downstream behavioral intentions. This research also investigates whether such impacts can be moderated by data breach locality. Furthermore, this research examines the underlying mechanism through which a firm’s error management influences consumers’ attitudes and behaviors.

A total of 280 people were recruited to participate in a scenario-based experimental study and complete an online survey.

Results revealed that the impacts of a focal firm’s error management on consumer attitude, word-of-mouth, and revisit intention were only significant when the data breach occurred at the focal firm (versus the rival firm), which was mediated by consumer trust. However, this mediating effect of consumer trust was not found when the focal firm reacted to a data breach that occurred at a rival firm.

This research represents one of the first studies to introduce the concept of consumer trust to understand the impact of error management on consumers following a data breach. By further including data breach locality as a potential moderator, this research provides suggestions on how firms should strategize their marketing efforts for more effective results.

The purpose of this paper is to introduce the new class ratio dispersion, the new smooth degree sequence and the comparison criterion of the new smooth degree and to propose the new prior check of grey modeling in order to meet the modeling demand of the optimized grey models which have the white exponential law of coincidence.

This paper introduces the corresponding new concepts and new comparison criterion which can reflect the approach degree of the raw data and the normal geometric progression by analogy with the traditional class ratio dispersion, smooth degree sequence and comparison criterion.

To the optimized grey models, the new concepts and the new comparison criterion can be regarded as the prior check of grey modeling.

First, the new concepts and the new comparison criterion can reflect the approach degree of the raw data and the normal geometric progression, and this paper proposes the prior check of grey modeling to the optimized grey models. Second, this paper proposes the quantificational valuation criterion – the concept of the smooth degree which can reflect the approach degree of a single sequence and the normal geometric progression, and ends the status quo that there is only the comparison criterion of the smooth degree between two sequences but not the quantificational valuation criterion of a single sequence.

This study aims to investigate mixed lubrication performances of stern bearing in a misaligned state considering turbulence and bearing deformation impacts.

A mixed lubrication model of stern bearing is established. The generalized average Reynolds equation governing the turbulent flow of lubricant is analyzed by considering the interaction of bearing elastic deformation, asperity contact pressure and film pressure. The bearing behaviors including minimum film thickness, hydrodynamic pressure, asperity friction force and frictional coefficient are studied under different models. The correctness of this model is verified by comparing it with that of the published data.

Numerical results indicate that elastic deformation noticeably decreases the maximum film pressure, the asperity contact force and the friction coefficient in the mixed lubrication stage. The effect of elastic deformation and turbulence reduces the transition speed from mixed to liquid lubrication.

This model includes both turbulence and bearing deformation impacts on journal bearing performances. It is expected that the numerical results can provide useful information to establish a stern bearing exposed to mixed lubrication conditions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2022-0352/

This paper aims to present a longitudinal and visualising study using bibliometric approaches to depict the emerging trends and research hotspots within the mobile information system domain.

Publications included in the Web of Science (WoS) database for 2001–2021 are reviewed and analysed on various aspects through coauthorship, cocitation and co-occurrence analysis. The analyses are conducted using VOSViewer, a scientific visualisation software program.

Academic publications related to mobile information systems fluctuated at a low level during the initial part of the 21st century and have grown rapidly in number in the past decade. The USA and China are the leading contributors to these publications and hold dominant positions in the obtained collaboration network. Computer science, engineering and telecommunications are the top three research areas in which mainstream mobile information system research occurs. Moreover, medical informatics and health-care science services have gradually become new research hotspots.

This study provides a systematic and holistic account of the developmental landscape of the mobile information system domain. This study provides a good basis for analysing the evolution of research in mobile information systems and may serve as a potential foundation for future research.

Large deformation problems are frequently encountered in various fields of geotechnical engineering. The particle finite element method (PFEM) has been proven to be a promising method to solve large deformation problems. This study aims to develop a computational framework for modelling the hydro-mechanical coupled porous media at large deformation based on the PFEM.

The PFEM is extended by adopting the linear and quadratic triangular elements for pore water pressure and displacements. A six-node triangular element is used for modelling two-dimensional problems instead of the low-order three-node triangular element. Thus, the numerical instability induced by volumetric locking is avoided. The Modified Cam Clay (MCC) model is used to describe the elasto-plastic soil behaviour.

The proposed approach is used for analysing several consolidation problems. The numerical results have demonstrated that large deformation consolidation problems with the proposed approach can be accomplished without numerical difficulties and loss of accuracy. The coupled PFEM provides a stable and robust numerical tool in solving large deformation consolidation problems. It is demonstrated that the proposed approach is intrinsically stable.

The PFEM is extended to consider large deformation-coupled hydro-mechanical problem. PFEM is enhanced by using a six-node quadratic triangular element for displacement and this is coupled with a four-node quadrilateral element for modelling excess pore pressure.