Search results

This study aims to design an optimized algorithm for low-cost pedestrian navigation system (PNS) to correct the heading drift and altitude error, thus achieving high-precise pedestrian location in both two-dimensional (2-D) and three-dimensional (3-D) space.

A novel heading correction algorithm based on smoothing filter at the terminal of zero velocity interval (ZVI) is proposed in the paper. This algorithm adopts the magnetic sensor to calculate all the heading angles in the ZVI and then applies a smoothing filter to obtain the optimal heading angle. Furthermore, heading correction is executed at the terminal moment of ZVI. Meanwhile, an altitude correction algorithm based on step height constraint is proposed to suppress the altitude channel divergence of strapdown inertial navigation system by using the step height as the measurement of the Kalman filter.

The verification experiments were carried out in 2-D and 3-D space to evaluate the performance of the proposed pedestrian navigation algorithm. The results show that the heading drift and altitude error were well corrected. Meanwhile, the path calculated by the novel algorithm has a higher match degree with the reference trajectory, and the positioning errors of the 2-D and 3-D trajectories are both less than 0.5 per cent.

Besides zero velocity update, another two problems, namely, heading drift and altitude error in the PNS, are solved, which ensures the high positioning precision of pedestrian in indoor and outdoor environments.

In the digital age, enterprise social media (ESM) has been broadly used to break the barrier of space and time for knowledge sharing involving two activities—knowledge donating and knowledge collecting. Yet, hardly any study has thus far explored how and when knowledge donating and knowledge collecting through ESM impact employees’ innovative work behavior (IWB). Therefore, drawing on the social exchange theory, this study aims to introduce relational social capital as a mediator and performance climate as a moderator to examine differential impact mechanisms of knowledge donating and knowledge collecting through ESM on employee IWB.

First, we collected 225 survey data from employees who used ESM at work. Then, according to the two-stage procedure of the partial least square structural equation modeling method, we established and analyzed a moderated mediation model based on the context of ESM.

Results demonstrate that knowledge donating through ESM has a positive relationship with IWB, but knowledge collecting through ESM has no such relationship. Through the mediation of relational social capital, both knowledge donating and knowledge collecting through ESM have indirect positive relationships with IWB, but knowledge collecting through ESM has a greater one. Moreover, when employees perceived a relatively high-performance climate, the positive relationships of knowledge donating and knowledge collecting through ESM with IWB via relational social capital would be stronger.

On the one hand, organizational managers should not only focus on different innovation benefits caused by knowledge donating and knowledge collecting through ESM but also should realize differences in the direct/indirect effect of knowledge donating and knowledge collecting through ESM on IWB. On the other hand, employees need to proactively enhance their innovative ability by considering knowledge donating/collecting channels (e.g. ESM), gaining successful competitiveness. Moreover, both managers and employees should realize that different innovation benefits of knowledge sharing activities through ESM can be further strengthened when establishing a high-performance climate.

Different from prior literature on knowledge sharing or ESM, this study contributes to analyzing the differential effects of two dimensions (i.e. knowledge donating and knowledge collecting) of knowledge sharing on employees' IWB in the context of ESM.

As a highly knowledge-intensive activity, digitalization is changing the construction industry landscape and is encouraging construction firms to explore the transformation. This study establishes a new theoretical model aimed at examining the impact of three types of intellectual capital (IC) on digitalization through the lens of knowledge-based view and explores how IC and digitalization influence sustainability performance from the triple bottom line principles.

A questionnaire survey was conducted to collect data from Chinese construction firms using convenience sampling. A total of 181 valid responses were obtained. Then, a partial least squares structural equation modelling (PLS-SEM) technique was executed through Smart PLS 3.0 software. The measurement model was assessed to ensure reliability and validity, and the structural model was analysed to test the proposed hypotheses.

The empirical results confirm the positive impact of IC on digitalization and digitalization on sustainability performance. Moreover, digitalization plays a significant mediating role in the relationship between IC and sustainability performance.

The results provide empirical evidence supporting the different roles of IC and digitalization in improving sustainability. The findings contribute to enhancing the understanding of digitalization practices from the perspective of IC and provide theoretical and managerial implications for sustainability issues in the context of the construction industry.

This study focuses on perceived overload from environmental stimuli and individual psychology and behavioral interactions. It constructs a theoretical model with overload as the key stressor based on the stressor-strain-outcome (SSO) model. The authors argue that system feature overload (SFO), information overload, and social overload lead to two psychological strains: fear of missing out (FoMO) and fatigue among users of short video platforms, affecting their discontinuous usage intentions.

To test the hypotheses, the authors conducted a questionnaire survey on 412 users' short video platform usage and empirically tested the constructed model using the research tool SmartPLS 3.3.2.

The results of data analysis showed that most of the hypotheses were supported. Specifically, system feature overload, information overload and social overload all positively affected FoMO. However, SFO and information overload significantly affected fatigue. There was no significant relationship between social overload and fatigue. In addition, both FoMO and fatigue negatively influenced users' discontinuous usage intentions.

The current research on user behavior in information systems tends to focus on the influence in the positive direction and less on the negative direction. The research on discontinuous usage intention (DUI) is a very new research topic. This research studies the influencing factors of users' discontinuous behavior from the perspective of perceptual overload. It provides a unique view for future short video platform user behavior research, with significant theoretical contributions and essential practice for short video platform operators to improve services.