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The study aims to investigate how artificial intelligence (AI)-powered virtual streamers can supercharge brands in live-streaming virtual commerce (v-commerce). Built upon social identity theory (SIT) and experiential value theory, we developed a framework to investigate the impact of AI-powered virtual streamers’ personalization and human-like personalities and live-streaming v-commerce’s system quality and content quality on brand image, mediated by parasocial interaction and experiential value.

A survey was designed and distributed to the target respondents via social media channels. SmartPLS version 4.0.9.4 was used to analyze a total of 354 responses after the data were obtained via purposive sampling.

The results show that personalization, human-like personality, system quality and content quality are positively associated with parasocial interaction and experiential value, which subsequently impact brand image.

This study addresses the gap of relatively sparse academic literature on the implications of AI-powered virtual streamers in live-streaming v-commerce on brand image.

Asynchronous Video Interviews (AVIs) incorporating Artificial Intelligence (AI)-assisted assessment has become popular as a pre-employment screening method. The extent to which applicants engage in deceptive impression management (IM) behaviors during these interviews remains uncertain. Furthermore, the accuracy of human detection in identifying such deceptive IM behaviors is limited. This study seeks to explore differences in deceptive IM behaviors by applicants across video interview modes (AVIs vs Synchronous Video Interviews (SVIs)) and the use of AI-assisted assessment (AI vs non-AI). The study also investigates if video interview modes affect human interviewers' ability to detect deceptive IM behaviors.

The authors conducted a field study with four conditions based on two critical factors: the synchrony of video interviews (AVI vs SVI) and the presence of AI-assisted assessment (AI vs Non-AI): Non-AI-assisted AVIs, AI-assisted AVIs, Non-AI-assisted SVIs and AI-assisted SVIs. The study involved 144 pairs of interviewees and interviewers/assessors. To assess applicants' deceptive IM behaviors, the authors employed a combination of interviewee self-reports and interviewer perceptions.

The results indicate that AVIs elicited fewer instances of deceptive IM behaviors across all dimensions when compared to SVIs. Furthermore, using AI-assisted assessment in both video interview modes resulted in less extensive image creation than non-AI settings. However, the study revealed that human interviewers had difficulties detecting deceptive IM behaviors regardless of the mode used, except for extensive faking in AVIs.

The study is the first to address the call for research on the impact of video interview modes and AI on interviewee faking and interviewer accuracy. This research enhances the authors’ understanding of the practical implications associated with the use of different video interview modes and AI algorithms in the pre-employment screening process. The study contributes to the existing literature by refining the theoretical model of faking likelihood in employment interviews according to media richness theory and the model of volitional rating behavior based on expectancy theory in the context of AVIs and AI-assisted assessment.

This study aims to elucidate a framework to attain sustainable employment driven by contextual and dispositional determinants mediated by job crafting. The factors under investigation encompass high-quality leader-member exchange (LMX), job characteristics in alignment with the job characteristics model (JCM) and individuals’ approach temperament.

This study identified a sample of 222 corporate professionals residing in the Delhi/NCR region. This study used SmartPLS 4 to conduct structural equation modeling to examine and interpret the obtained data.

Collectively, LMX, job characteristics and approach temperament exert a beneficial influence on employees who actively engage in job crafting, subsequently enhancing sustainable employment. The findings confirm that the relationship between approach temperament and sustainable employment is fully mediated by job crafting. Furthermore, job crafting partially mediates the relationship between (1) LMX and sustainable employment and (2) job characteristics and sustainable employment.

Through our study, organizations can gain valuable insights into enhancing employees’ sustainable employability by fostering job crafting. Achieving this objective involves incorporating contextual and dispositional elements like LMX and job characteristics and training individuals on approach temperament.

This unique study aims to establish a framework to achieve sustainable employment initiated by contextual and dispositional factors. It also contributes to the literature by presenting the mediation effect of job crafting between contextual and dispositional factors and sustainable employment.

This study aims to analyze the temperature difference between aluminum-based brake disc (ABD) and cast steel brake disc (CSBD) for rail vehicles in the braking process, which is related to the popularization and use of ABD.

Two friction pairs composed of ABD, CSBD and copper-based powder metallurgy brake pad were studied in this paper. The temperature characteristics of the two friction pairs were compared by 1:1 braking test and simulation calculation.

When the speed is 160–250 km/h and the braking pressure is 18 and 29 kN, the calculated maximum temperature of CSBD is 574°C and 681°C, respectively, which is higher than that of ABD 49°C–148°C and 73°C–217°C. Under the test conditions, the maximum temperature of CSBD is 487°C and 624°C respectively, which is higher than that of ABD 63°C–95°C and 63°C–188°C. The temperature difference between ABD and CSBD increases with the increase of braking pressure and speed. The surface temperature distribution of CSBD is “three-peak,” whereas that of ABD is “single-peak.”

This paper reveals the temperature difference between ABD and CSBD and provides data support for promoting the use of ABD.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-70320/

Unethical pro-organizational behavior (UPB) harms organizations’ long-term development; hence, all sectors of society view it as highly concerning. Optimizing leadership and curbing this behavior is a key managerial challenge. This study takes the relationship between temporal leadership and UPB as its object and examines the direct and indirect paths of temporal leadership’s influence on UPB based on the conservation of resources theory. It further dissects the mediating mechanism of emotional exhaustion and the regulating mechanism of job complexity and constructs the mechanism through which temporal leadership affects UPB.

Data gathered from a sample of 380 employees in 24 provinces and cities were employed for empirical testing using validated factor analysis, hierarchical regression analysis, and a bootstrap method.

The results show that temporal leadership inhibits UPB, while emotional exhaustion partially mediates the relationship between temporal leadership and UPB. That is, temporal leadership inhibits pro-organizational unethical behavior by alleviating emotional exhaustion. In addition, job complexity negatively moderates the relationship between emotional exhaustion and UPB and positively moderates the mediating role of emotional exhaustion between temporal leadership and UPB.

First, although the data used in the study were collected at two different times, they were obtained through self-assessment; therefore, the subjective component and the potential problem of common method bias is evident. Second, the study’s sample size and types of respondents are limited.

1. This study found that temporal leadership can inhibit UPB by reducing employee emotional exhaustion. Therefore, organizations should place greater emphasis on the time factor. 2. In terms of emotional factors, organizations should actively focus on the impact of emotional exhaustion on employees' UPBs. 3. In management practice, managers should adjust their leadership modeling behaviors according to the different degrees of job complexity to replace UPBs with conscious and rational behaviors.

The study reveals how temporal leadership affects UPB and provides a theoretical basis for organizations to mitigate employees' UPB by optimizing their leadership style.

Current research on temporal leadership primarily focuses on the positive predictive effects on individual behaviors and attitudes (Zhang and Ling, 2016), but neglects its effects on negative behaviors. This study’s results complement research on the relationship between temporal leadership and employees' negative behaviors and responds to the call by Zhang and Ling (2015) to conduct research related to temporal leadership in China. On the other hand, current research on employees’ UPB largely focuses on its causative factors, while less research has been conducted on the disincentives for UPB, which to some extent limits systematic and sound research on UPB.

This study examined the impact of environmental factors on consumers’ intention to use buy online in-store returns (BORS) services. Specifically, it investigates how integrating environmental knowledge and consequence awareness into the theory of planned behavior (TPB) influences consumers’ intention to adopt BORS services.

Data were collected through a structured questionnaire and analyzed using statistical methods to explore the relationships between attitude, subjective norm, perceived behavioral control, environmental factors and intention to use BORS services.

The findings indicate that attitude, subjective norm and environmental knowledge significantly increase consumers’ intention to use BORS services. Additionally, the interaction of attitude and environmental knowledge further enhances consumers’ intention to use BORS services.

This study contributes to the limited literature on the drivers of consumers’ adoption of BORS services by integrating environmental factors with TPB. It provides new insights into how targeted environmental education and promotion activities can influence consumers’ behavior toward sustainable practices, providing valuable strategies for retailers to support sustainable development goals.

Previous studies have yielded mixed results regarding the influence of pay for individual performance on job satisfaction. This study aims to investigate how and when pay for individual performance impacts employee job satisfaction.

In light of self-determination theory, this study examines the moderating effect of self-concern and other-orientation on the association between pay for individual performance and employee job satisfaction through the mediation of intrinsic motivation. This study tests the proposed hypotheses using a two-wave survey study (n = 701) and an online experiment study (n = 440).

The findings reveal that pay for individual performance has an indirect positive (negative) effect on employee job satisfaction through intrinsic motivation among those with high self-concern or low other-orientation (high other-orientation).

These results underscore the substantial role of individual differences in prosocial orientations when explaining how pay systems shape employees’ attitudes.

This study aims to examine the intergenerational transmission of ethnic culture among the Yao minority in China, focusing on how rapid societal changes and modernization impact cultural identity maintenance. The research seeks to understand the perspectives of different generations of Yao individuals regarding their traditional culture, external influences and ethnic identity. The study aims to identify factors that facilitate or hinder cultural transmission, assess the effectiveness of current cultural preservation efforts and uncover potential strategies for maintaining ethnic identity in a rapidly changing society. Additionally, the research investigates the role of traditional elements, such as ethnic clothing, in connecting younger generations to their cultural heritage.

This study employed a qualitative approach using grounded theory methodology to explore the intergenerational transmission of Yao ethnic culture in China. In-depth, semi-structured interviews were conducted with 30 Yao individuals representing different generations. Participants were purposively selected from two Yao villages in southern China. Data collection also included researcher observations and memos. Interviews were conducted in Chinese, translated to English and analyzed using NVivo12 software. The analysis followed the grounded theory approach of open, axial and selective coding. Triangulation was achieved through discussions with participants' peers and family members. Ethical considerations included obtaining informed consent, ensuring participant anonymity and securing institutional review board approval.

The study revealed three distinct generational attitudes towards Yao culture: rejection among older generations, semi-openness in middle-aged groups and initiated closeness in younger generations. Despite government policies supporting population growth, ethnic identity is not effectively transmitted across generations. Economic disparities between Yao communities and external society significantly influence cultural preservation, with younger generations prioritizing economic opportunities over traditional practices. However, traditional Yao clothing emerged as a potential link between younger individuals and their cultural heritage, offering a promising avenue for cultural preservation. The research also highlighted the impact of education, technology and media on shaping attitudes towards traditional culture and external influences across different age groups.

This study provides insights into the cultural transmission within the Yao minority in China, a previously understudied ethnic group. It uniquely examines the interplay between economic development, government policies and intergenerational attitudes in shaping ethnic identity maintenance. The research reveals an unexpected potential for traditional clothing to serve as a bridge between younger generations and their cultural heritage, offering a fresh perspective on cultural preservation strategies. By identifying distinct generational attitudes towards cultural identity, this study contributes valuable knowledge to the fields of ethnic studies, cultural anthropology and social psychology, while also informing policymaking for minority cultural preservation in rapidly modernizing societies.

This study aims to optimize the construction site layout planning (CSLP) problem, with a focus on prefabricated projects. It proposes the use of the oMOAHA algorithm, an enhanced version of the multi-objective artificial hummingbird algorithm (MOAHA), to address challenges related to search space exploration and local optimization in CSLP.

The study integrates three techniques – opposition-based learning (OBL), quasi-opposition and quasi-reflection – into the initialization phase of the MOAHA algorithm, creating the oMOAHA variant. This model is applied to all three types of CSLP problems – pre-determined location, grid system and continuous space – to evaluate its effectiveness. Six objective functions (three related to cost, two to safety and one to tower crane efficiency) and four site-related constraints are considered through three case studies taken from previous research and one real project involving prefabricated steel structures.

The oMOAHA algorithm demonstrates superior performance compared to previous models, consistently outperforming traditional approaches in CSLP optimization for prefabricated projects. In the real case study, the proposed model exceeded the actual project plan by 28–43%, indicating its potential to significantly improve both solution quality and project outcomes.

This study is the first to apply an optimization model to all three types of CSLP problems – pre-determined location, grid system and continuous space – within a unified framework. The integration of advanced techniques into the MOAHA algorithm and the model’s successful application in a real prefabricated project underscore its high applicability and effectiveness in modern construction management.

This paper aims to propose a set of metamodels applicable to the architecture modeling of air traffic management systems|air traffic management system (ATMS) under the UAF methodology. The designing of metamodels also needs to meet modeling requirements for the introduction of new supersonic airliners into the ATMS.

In order to complete the designing of metamodels and the architecture modeling work in the case study, the GOPPRR method and the M0–M3 modeling framework are used in this paper. The design and modeling work carried out in this paper was done in the multi-architecture modeling tool Airdraw.

In this paper, the set of metamodels applicable to the architecture modeling of ATMS under the UAF methodology was proposed, which has a quantity of 102 object metamodels, eight point metamodels, 98 property metamodels, 41 relationship metamodels, 36 role metamodels and 65 graph metamodels.

The metamodel design proposed in this thesis allows for architectural modeling of the ATMS. Comparing with the traditional method of system engineering, which uses files to define, the model-based ATMS architecture can be updated for different ATMS and different aircraft types by modifying the parameters of the corresponding views or adding relevant supplementary model views in the architecture model library, which greatly improves the compatibility and modifiability of the system definition.