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Live streaming commerce has grown rapidly in recent years. Although the way streamers communicate with viewers is the key to influencing users' purchase behaviors, little is known about the influence of streamers' communication style on purchase intention. Drawing on parasocial interaction theory and flow theory, this study examines the influence of streamers' interaction orientation on viewers' immersion and parasocial interactions, and its effect on viewers' purchase intentions. The moderating effect of streamers' expertise and attractiveness is also examined.

The authors conducted an empirical study using a structural equation modeling approach based on 407 responses to a questionnaire completed by live streaming audiences.

Results indicate that streamers' interaction orientation has a positive effect on viewers' immersion and parasocial interactions, in turn positively affecting viewers' willingness to purchase. Streamers' expertise positively moderates the effect of their interaction orientation on viewers' immersion and parasocial interactions.

This research is among the first to explore the effect of streamers' communication style and provides a framework for how their communication style affects viewers' purchase intention by enhancing immersion and parasocial interaction in live streaming commerce.

This paper aims to adopt a moderated mediation model to examine the mediation roles of employee engagement and hindrance time pressure; the moderation roles of personality in the relationship between strengths-based psychological climate and employee innovation performance.

Applying snowball sampling and a self-administered survey, the data were collected from employees and immediate supervisors working in Chinese small-medium-sized enterprises. The PROCESS macro for SPSS was applied to examine the moderated mediation model.

The results show that a strengths-based psychological climate significantly influences employee engagement and hindrance time pressure, which, in turn, affects employee innovation performance. Both extroversion and emotional stability moderate the relationship between strengths-based psychological climate, employee engagement and hindrance time pressure but also the indirect effect of strengths-based psychological climate on employee innovation performance through employee engagement and hindrance time pressure.

Drawing on job demands and resources models, this research focusses on maximizing employee strengths instead of weaknesses and includes both two intermediating mechanisms in-between strengths-based psychological climate and innovation performance. Personality variables are applied as moderators, as the study assumes the effectiveness of the strengths-based interventions may vary depends on individual differences.

This study proposes that a strengths-based psychological climate may shift focusses from employee weakness to strengths to maximise their talents. Also, personality variables are suggested to be considered in the related human resource practices (e.g. hiring and performance appraisal) to increase the fit between employees, their jobs and the organisations.

This study develops a moderated mediation model to investigate the possible mediating mechanisms and boundary conditions in relation to the impact of strengths-based psychological climate on employee innovation performance.

To investigate whether the actual effects of eight drape characteristics of virtual fabrics can be manifested in the Style 3D software.

Image analysis was conducted using MATLAB software to obtain the drape characteristics of virtual fabrics. Pair the drape characteristics of the real and virtual fabrics for difference. The S-W method was used to conduct a normality test to obtain the correlation of paired samples. A paired sample t-test was performed to obtain the significance values.

The simulation restoration performance of the drape coefficient, number of undulations, maximum undulation angle, minimum undulation angle and undulation angle uniformity was good. However, there are differences in the simulation performance of the other three indicators: maximum undulation amplitude, minimum undulation amplitude and undulation amplitude uniformity compared to the drape characteristics of real fabrics.

Provides reference value for the improvement of Style3D software in virtual fabric simulation and finds the main influential parameters and their impact levels that contribute to the realistic representation of virtual fabrics in software. It provides a theoretical basis for course teaching in digital fashion.

This article aims to unfold digital servitization by exploring the key resources and resource orchestration (i.e. resource configuration and interaction).

This article conducted an explorative two-stage research strategy of Chinese servitized manufacturers using a preliminary case study and fuzzy-set Qualitative Comparative Analysis (fsQCA) design. The data collection was conducted between 2016 and 2021.

This article identifies five key resources – radical, complex technological resources, complementary, specific market resources and digital resources – and their configurations – leveraging market opportunities, leveraging innovation integration and leveraging resource advantages – to facilitate servitization in the digital age. The findings underscore the interaction between technological and market resources as well as the role of digital resources in promoting the servitization journey.

This article contributes to the understanding of servitization in the digital context by examining the key resources and their interactions involved. It builds upon the configurational logic of servitization, expanding the existing framework in the digital context and highlighting the significance of technological and market resource orchestration and interaction in servitization research. Moreover, the paper contributes through its exploratory two-stage approach, going beyond a conceptual understanding of servitization by focusing on both the factors that enable servitization (WHAT) and the configurations that lead to servitization (HOW). Additionally, the article investigates the attributes of resources as lower-level components, addressing the need to explore the micro-level practice of resource realignment. By providing clarity on the configurations of servitization, the paper offers practical guidelines for practitioners on how to effectively utilize resources and benefit from digital servitization.

Plantar force is the interface pressure existing between the foot plantar surface and the shoe sole during static or dynamic gait. Plantar force derived from gait and posture plays a critical role for rehabilitation, footwear design, clinical diagnostics and sports activities, and so on. This paper aims to review plantar force measurement technologies based on piezoelectric materials, which can make the reader understand preliminary works systematically and provide convenience for researchers to further study.

The review introduces working principle of piezoelectric sensor, structures and hardware design of plantar force measurement systems based on piezoelectric materials. The structures of sensors in plantar force measurement systems can be divided into four kinds, including monolayered sensor, multilayered sensor, tri-axial sensor and other sensor. The previous studies about plantar force measurement system based on piezoelectric technology are reviewed in detail, and their characteristics and performances are compared.

A good deal of measurement technologies have been studied by researchers to detect and analyze the plantar force. Among these measurement technologies, taking advantage of easy fabrication and high sensitivity, piezoelectric sensor is an ideal candidate sensing element. However, the number and arrangement of the sensors will influence the characteristics and performances of plantar force measurement systems. Therefore, it is necessary to further study plantar force measurement system for better performances.

So far, many plantar force measurement systems have been proposed, and several reviews already introduced plantar force measurement systems in the aspect of types of pressure sensors, experimental setups for foot pressure measurement analysis and the technologies used in plantar shear stress measurements. However, this paper reviews plantar force measurement systems based on piezoelectric materials. The structures of piezoelectric sensors in the measurement systems are discussed. Hardware design applied to measurement system is summarized. Moreover, the main point of further study is presented in this paper.

The purpose of this paper is to explore knowledge sharing in a Chinese context and to examine the impact of some key contextual factors that affect knowledge sharing within project teams in the Chinese construction sector.

Self‐administered questionnaires were used in this study. Data were collected by surveying 222 managerial employees from different project teams in the construction sector in China. Regression analysis was then used to explore the relationship between different factors and the willingness to share knowledge. The potential influence of Chinese traditional cultures on this relationship was also explored.

This paper shows that within the Chinese context, explicit knowledge promotes knowledge sharing while tacit knowledge creates barriers to knowledge sharing in project teams. Moreover, trust is positively related to knowledge sharing but justice, leadership style, and empowerment do not influence whether employees will share knowledge among themselves in project teams.

While it is well known that knowledge management is critical to success, few studies have examined knowledge management in a Chinese context and little is known how the Chinese generate, codify, and transfer knowledge. This paper tries to bridge this gap by examining what affects knowledge sharing in project teams in China so as to help better understand knowledge management in this important emerging market and whether China can sustain its success in economic growth with effective knowledge management.

Emerging-market multinational enterprises (EMNEs) can choose focused or ambidextrous strategies to catch up with global market leaders through overseas foreign direct investment (OFDI). The Belt and Road Initiative (BRI), launched by the Chinese government in 2013, had a profound impact on Chinese multinational enterprises’ international behavior. This paper analyses how EMNEs select focused or ambidextrous catch-up strategies before and after the BRI, integrating ambidexterity and catch-up theories to provide a more nuanced understanding of the evolution of EMNE strategy.

A case study is well suited for deriving rich descriptions of empirical phenomena for which little theory exists. Because the existing literature has not yet fully explored and conceptually modeled the influence of windows of opportunity on international catch-up strategies, we use qualitative research to explore the mechanisms of strategy evolution in EMNEs.

The results show that the choice of catch-up strategy is influenced by the nature of windows of opportunity and the firm's accumulated technological capability. Specifically, the opening of institutional windows as a result of the BRI could give significant momentum to the international catch-up process by providing incentives and opportunities for EMNEs to enter more markets and new technology fields. The EMNEs studied underwent a transition from a focused strategy in the catch-up stage to an ambidextrous strategy in the beyond catch-up stage.

These conclusions can not only deepen our understanding of the dynamics of catch-up strategies in the global context but also enrich the research on the ambidexterity of EMNEs, especially in the context of the BRI.

The purpose of this paper was to systematically collect and review the research studies that provide empirical evidence regarding the existence of relationship between self-efficacy and knowledge sharing or influence of self-efficacy on sharing of knowledge.

The studies were collected through searching in Google Scholar, Scopus, ProQuest Dissertations and Theses, LISTA (Library, Information Science and Technology Abstracts) and Web of Science. All types of studies, except books, were selected for review. Time limitation was not applied.

It can be concluded from majority of reviewed studies that self-efficacy influenced knowledge sharing. This systematic review also establishes that majority of reviewed studies confirmed existence of relationship (positive) between variables self-efficacy and knowledge sharing.

A language limit was applied, and only English language studies were reviewed.

This review is first of its kind that systematically collected and reviewed the studies that examined the relationship between self-efficacy and knowledge sharing. This paper is also first in terms of a study which systematically collected and reviewed studies that investigated impact of self-efficacy on sharing of knowledge. Findings of current research paper will be helpful for organizations striving to implement a knowledge-sharing culture. Similarly, this study will also help the readers in understanding the ways to improve their knowledge-sharing practices and learning.

The tender documents, an essential data source for internet-based logistics tendering platforms, incorporate massive fine-grained data, ranging from information on tenderee, shipping location and shipping items. Automated information extraction in this area is, however, under-researched, making the extraction process a time- and effort-consuming one. For Chinese logistics tender entities, in particular, existing named entity recognition (NER) solutions are mostly unsuitable as they involve domain-specific terminologies and possess different semantic features.

To tackle this problem, a novel lattice long short-term memory (LSTM) model, combining a variant contextual feature representation and a conditional random field (CRF) layer, is proposed in this paper for identifying valuable entities from logistic tender documents. Instead of traditional word embedding, the proposed model uses the pretrained Bidirectional Encoder Representations from Transformers (BERT) model as input to augment the contextual feature representation. Subsequently, with the Lattice-LSTM model, the information of characters and words is effectively utilized to avoid error segmentation.

The proposed model is then verified by the Chinese logistic tender named entity corpus. Moreover, the results suggest that the proposed model excels in the logistics tender corpus over other mainstream NER models. The proposed model underpins the automatic extraction of logistics tender information, enabling logistic companies to perceive the ever-changing market trends and make far-sighted logistic decisions.

(1) A practical model for logistic tender NER is proposed in the manuscript. By employing and fine-tuning BERT into the downstream task with a small amount of data, the experiment results show that the model has a better performance than other existing models. This is the first study, to the best of the authors' knowledge, to extract named entities from Chinese logistic tender documents. (2) A real logistic tender corpus for practical use is constructed and a program of the model for online-processing real logistic tender documents is developed in this work. The authors believe that the model will facilitate logistic companies in converting unstructured documents to structured data and further perceive the ever-changing market trends to make far-sighted logistic decisions.

Since the biomedical implants with an improved compressive strength, near bone elastic modulus, controlled porosity, and sufficient surface roughness, can assist in long term implantation. Therefore, the fine process tuning plays its crucial role to develop optimal settings to achieve these desired properties. This paper aims to find applications for fine process tuning in laser powder bed fusion of biomedical Ti alloys for load-bearing implants.

In this work, the parametric porosity simulations were initially performed to simulate the process-induced porosity for selective laser-melted Ti₆Al₄V as per full factorial design. Continually, the experiments were performed to validate the simulation results and perform multiresponse optimization to fine-tune the processing parameters. Three levels of each control variable, namely, laser power – Pl (180, 190, 200) W, scanning speed – Vs (1500, 1600, 1700) mm/s and scan orientation – ϴ{1(0,0), 2(0,67°), 3(0,90°)} were used to investigate the processing performance. The measured properties from this study include compressive yield strength, elastic modulus, process-induced porosity and surface roughness. Finally, confirmatory experiments and comparisons with the already published works were also performed to validate the research results.

The results of porosity parametric simulation and experiments in selective laser melting of Ti₆Al₄V were found close to each other with overall porosity (less than 10%). The fine process tuning was resulted in optimal settings [Pl (200 W), Vs (1500 mm/s), ϴ (0,90°)], [Pl (200 W), Vs (1500 mm/s), ϴ (0,67°)], [Pl (200 W), Vs (1500 mm/s), ϴ (0,0)] and [Pl (200 W), Vs (1500 mm/s), ϴ (0,0)] with higher compressive strength (672.78 MPa), near cortical bone elastic modulus (12.932 GPa), process-induced porosity (0.751%) and minimum surface roughness (2.72 µm). The morphology of the selective laser melted (SLMed) surface indicated that the lack of fusion pores was prominent because of low laser energy density among the laser and powder bed. Confirmatory experimentation revealed that an overall percent improvement of around 15% was found between predicted and the experimental values.

Since no significant works are available on the collaborative optimization and fine process tuning in laser powder bed fusion of biomedical Ti alloys for different load bearing implants. Therefore, this work involves the comprehensive investigation and multi-objective optimization to determine optimal parametric settings for better mechanical and physical properties. Another novel aspect is the parametric porosity simulation using Ansys Additive to assist in process parameters and their levels selection. As a result, selective laser melted Ti alloys at optimal settings may help in examining the possibility for manufacturing metallic implants for load-bearing applications.