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This study examines the relationship between streamers' product descriptions, customer comments and online sales and focuses on the moderating effect of streamer–viewer relationship strength.

Between June 2021 and April 2022, the structured data of 965 livestreaming and unstructured text data of 42,956,147 characters from two major live-streaming platforms were collected for the study. Text analysis and regression analysis methods were employed for data analysis.

First, the authors' analysis reveals an inverted U-shaped relationship between comment length and product sales. Notably, comment volume and comment emotion positively influence product sales. Furthermore, the semantic richness, emotion and readability of streamers' product descriptions also positively influence product sales. Secondly, the authors find that the strength of streamer–viewer relationship weakens the positive effects of comment volume and comment emotion without moderating the inverted U-shaped effect of comment length. Lastly, the strength of streamer–viewer relationship also diminishes the positive effects of emotion, semantics and readability of streamers' product descriptions on product sales.

This study is the first to concurrently examine the direct and interactive effects of user-generated content (UGC) and marketer-generated content (MGC) on consumer purchase behaviors in livestreaming e-commerce, offering a novel perspective on individual decision-making and cue utilization in the social retail context.

The growing availability of naturalistic driving datasets (NDDs) presents a valuable opportunity to develop various models for autonomous driving. However, while current NDDs include data on vehicles with and without intended driving behavior changes, they do not explicitly demonstrate a type of data on vehicles that intend to change their driving behavior but do not execute the behaviors because of safety, efficiency, or other factors. This missing data is essential for autonomous driving decisions. This study aims to extract the driving data with implicit intentions to support the development of decision-making models.

According to Bayesian inference, drivers who have the same intended changes likely share similar influencing factors and states. Building on this principle, this study proposes an approach to extract data on vehicles that intended to execute specific behaviors but failed to do so. This is achieved by computing driving similarities between the candidate vehicles and benchmark vehicles with incorporation of the standard similarity metrics, which takes into account information on the surrounding vehicles' location topology and individual vehicle motion states. By doing so, the method enables a more comprehensive analysis of driving behavior and intention.

The proposed method is verified on the Next Generation SIMulation dataset (NGSim), which confirms its ability to reveal similarities between vehicles executing similar behaviors during the decision-making process in nature. The approach is also validated using simulated data, achieving an accuracy of 96.3 per cent in recognizing vehicles with specific driving behavior intentions that are not executed.

This study provides an innovative approach to extract driving data with implicit intentions and offers strong support to develop data-driven decision-making models for autonomous driving. With the support of this approach, the development of autonomous vehicles can capture more real driving experience from human drivers moving towards a safer and more efficient future.

The purpose of this paper is to present the influence of inter-turn short circuit faults (ITSF) on electromagnetic vibration in high-voltage line-starting permanent magnet synchronous motor (HVLSPMSMS).

In this paper, the ampere–conductor wave model of HVLSPMSM after ITSF is established. Second, a mathematical model of the magnetic field after ITSF is established, and the influence law of the ITSF on the air-gap magnetic field is analyzed. Further, the mathematical expression of the electromagnetic force density is established based on the Maxwell tensor method. The impact of HVLSPMSM torque ripple frequency, radial electromagnetic force spatial–temporal distribution and rotor unbalanced magnetic tension force by ITSF is revealed. Finally, the electromagnetic–mechanical coupling model of HVLSPMSM is established, and the vibration spectra of the motor with different degrees of ITSF are solved by numerical calculation.

In this study, it is found that the 2np order flux density harmonics and (2 N + 1) p order electromagnetic forces are not generated when ITSF occurs in HVLSPMSM.

By analyzing the multi-harmonics of HVLSPMSM after ITSF, this paper provides a reliable method for troubleshooting from the perspective of vibration and torque fluctuation and rotor unbalanced electromagnetic force.

This study examines the effect of occupational stress on turnover intention of employees working in the banking industry. The authors examine the mediating effects of service climate and emotional regulations of the employees in the relationship between occupational stress and intention to leave the organization.

This study followed stratified sampling technique for data collection from employees of ten commercial banks based on the banks' financial performance of top 5 and bottom 5 out of 27 banks. Data were collected at 2 stages, first from 465 employees for occupational stressors and second from 408 employees among the participants in the first stage for turnover intention, service climate and emotional regulation. Harman’s one-factor test was conducted to examine the common method bias. Confirmatory factor analysis (CFA), regression analysis and Preacher and Hayes Process Macro approach were used to examine mediation effect.

Three factors, namely workload (WL), role ambiguity and growth opportunity expectations were identified as the occupational stressors in the banking industry, predicting a positive relation of overall occupational stress to the intention to turnover. Service climate and the employees’ emotion regulation ability mediate the relationship between stress and turnover intention. Results also revealed no significant role of control variables in predicting occupational stress and turnover intention.

This study implies that the WL, role ambiguity and growth opportunity expectations of the employees cause stress in employees which may lead to have turnover intention. In order to get success in competitive environment, managers of banking industry can address stressors by enhancing service climate and formulating policies and programs to strengthen the emotion regulation which is evidence to strengthen the reciprocity approach of social exchange theory in employees’ commitment.

This study contributes to the social exchange theory and attempts to fulfill the gaps in empirical research on personnel psychology, human capital\ and organization management in developing countries.

The purpose of this paper is to compare the influence of relative density (RD) and strain rates on failure mechanism and specific energy absorption (SEA) of polyamide lattices ranging from bending to stretch-dominated structures using selective laser sintering (SLS).

Three bending and two stretch-dominated unit cells were selected based on the Maxwell stability criterion. Lattices were designed with three RD and fabricated by SLS technique using PA12 material. Quasi-static compression tests with three strain rates were carried out using Taguchi's L9 experiments. The lattice compressive behaviour was verified with the Gibson–Ashby analytical model.

It has been observed that RD and strain rates played a vital role in lattice compressive properties by controlling failure mechanisms, resulting in distinct post-yielding responses as fluctuating and stable hardening in the plateau region. Analysis of variance (ANOVA) displayed the significant impact of RD and emphasised dissimilar influences of strain rate that vary to cell topology. Bending-dominated lattices showed better compressive properties than stretch-dominated lattices. The interesting observation is that stretch-dominated lattices with over-stiff topology exhibited less compressive properties contrary to the Maxwell stability criterion, whereas strain rate has less influence on the SEA of face-centered and body-centered cubic unit cells with vertical and horizontal struts (FBCCXYZ).

This comparative study is expected to provide new prospects for designing end-user parts that undergo various impact conditions like automotive bumpers and evolving techniques like hybrid and functionally graded lattices.

To the best of the authors' knowledge, this is the first work that relates the strain rate with compressive properties and also highlights the lattice behaviour transformation from ductile to brittle while the increase of RD and strain rate analytically using the Gibson–Ashby analytical model.

Despite the prevalence of uncivil behaviors across families and past studies attributing work stressors to suicidal ideation (SI), there is no conclusive evidence of the interactive effect of family incivility (FI) aggravating SI. Hence, the purpose of this study is to explore the association between FI and SI through emotional exhaustion (EE) in the workplace and regulation of emotion.

A time lag (T1 and T2) study is applied for primary data collection using a survey questionnaire. The partial least squares–structural equational modeling algorithm tests reliability, validity and hypotheses.

Experiencing FI exacerbates SI, while the regulation of emotion and EE mediate the association between FI and SI.

Professionals are advised to adopt regulation of emotion that fosters desirable behavior and shields targets from FI and EE, minimizing the intensity of SI.

This study significantly adds to how FI and EE aggravate SI and contribute to the body of knowledge on the regulation of emotion in stress and coping mechanisms.