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With the growing market for luxury fashion rental, we aim to examine how renting luxury fashion is related to consumers' construction of the material self, based on material self-framework. We propose that consumers adopt luxury fashion rentals to construct and manage the personal and social aspects of the material self and that their belief in brand essence facilitates the mechanism.

A total of 296 responses of US female participants collected from Cloudresearch were analyzed to test the relationships between constructs in the proposed model.

The results, using structural equation modeling analysis, supported the expected relationships. Specifically, whereas the social material self directly increased adoption intention, the personal material self indirectly increased such intention via the belief that rented luxury items preserve brand essence.

Our findings advance the literature by showing how the self is constructed and managed in collaborative luxury fashion consumption, from self-identity perspective. The current research reveals the important roles of two aspects of material self that respectively contribute to consumers' adoption of luxury fashion rentals.

This study empirically tests the material self theory in the context of luxury fashion rental and demonstrates the processes of how consumers regard a luxury fashion rental as a tool to construct their identity. This study not only validates the two-structure model of material self (social and personal), but also incorporate the role of brand essence in revealing how the two facets of material self differently facilitate luxury fashion rental adoption.

The capacity of organizations to adapt swiftly and implement innovative approaches has ignited discussions about which human resource management (HRM) practices can foster creativity and innovative work behavior (IWB) among employees. Research suggests that IWB thrives in an environment where HRM acts as the architect, influencer and developer. However, our understanding of the specific HRM practices that promote innovative work behaviors remains limited. Existing studies offer scattered and occasionally conflicting insights, particularly concerning measurements and theoretical frameworks that could enable greater generalizability. Consequently, a comprehensive review of the relationships between HRM, innovation and IWB could provide clearer evidence about how HRM impacts innovation. This research presents a bibliometric analysis of research on the relationship between HRM and IWB. The purpose of this analysis is to provide an in-depth overview of the current state and future prospects of HRM and IWB by examining past and current research trends and predict future research directions.

The study used a bibliometric approach to collect 280 journal articles from the Web of Science database. The study identifies the most influential publications, outlines the knowledge structure and forecasts future trends using co-citation and co-word analysis.

The results of the co-citation and co-word analysis revealed the existence of four clusters. While acknowledging some limitations, this review sheds light on the expanding field of HRM and IWB research.

The study provides a comprehensive understanding of HRM and IWB as well as insights into future advancements in the field.

This is the first study to use bibliometric analysis based on the Web of Science (WOS) database to conduct a quantitative evaluation of the HRM practice and IWB literature.

The purpose of this study is to explore the associations between leadership, trustworthiness, and employee engagement during COVID-19.

In this cross-sectional, quantitative study, surveys of Sri Lankan male and female managers were conducted via standardized questionnaires. The sample size was 297 respondents. The Smart-PLS version 3.36 structural equation model analyzed the data set.

Both leadership and employee engagement and trustworthiness and employee engagement were found to have a statistically significant relationship. It has been found that leadership indirectly contributes to a higher degree of employee engagement through increased trustworthiness. According to the findings, employee engagement rises when they have the trustworthiness of the leadership in the virtual environment.

According to the findings of this study, organizations need to introduce rules to improve leadership manager roles in a virtual environment, which can improve trustworthiness and employee engagement. It also suggests that organizations should build trustworthiness between employees and leadership through a positive culture in a virtual environment that can improve employee engagement and organizational performance.

Research on leadership and trustworthiness improves employee engagement in a virtual environment is the contribution of this study.

This study aims to explore the relationship between transformational leadership and proactive customer service performance (PCSP) in the airline industry, considering self-efficacy and emotional intelligence as mediators.

Bandura’s self-efficacy theory was used for formulating hypotheses. Data were gathered from 500 frontline employees and 30 supervisors to create subordinate dyads, resulting in a final sample size of 370 participants. Structural equation modeling was employed for the purpose of data analysis.

The results indicated that supervisors’ transformational leadership impacted the self-efficacy and emotional intelligence of service and frontline employees, thereby influencing PCSP. Self-efficacy and emotional intelligence of frontline employees were positively correlated with PCSP. These findings add to the existing literature by providing empirical proof of a positive association between transformational leadership and perceived customer service performance. Furthermore, this study supported the mediating roles of self-efficacy and emotional intelligence of frontline employees as mediators, showing their importance in translating transformational leadership behaviors into enhanced customer service performance.

The airline sector will benefit significantly from the findings of this research. It highlights the significance of transformational leadership in improving PCSP. Organizations should emphasize the creation and growth of transformational leaders capable of inspiring and motivating staff to provide excellent customer service. In addition, the research highlights the significance of self-efficacy and emotional intelligence as factors that mediate the relationship between transformational leadership and PCSP. Organizations may foster PCSP by investing in training and development programs that seek to improve workers’ self-efficacy and emotional intelligence. These programs may help participants gain confidence in their ability to deliver excellent customer service as well as improve their knowledge.

This research paper presents novel theoretical and practical developments in the airline industry. This research paper collected data in two phases from supervisor–subordinate dyads.

The mental healthcare is experiencing an ever-growing surge in understanding the consumer (e.g., patient) engagement paradox, aiming to vouch for the quality of care. Despite this surge, scant attention has been given in academia to conceptualize and empirically investigate this particular aspect. Thus, drawing on the Stimulus-Organism-Response (S-O-R) paradigm, the study explores how patients engage with healthcare service providers and how they perceive the quality of the healthcare services.

Data were collected from 279 respondents, and the derived conceptual model was tested by using Smart PLS 3.2.7 and PROCESS. To complement the findings of partial least squares (PLS)-based structural equation modeling (SEM), the present study also applied fuzzy set qualitative comparative analysis (fsQCA) to identify the necessary and sufficient conditions to explore substitute conjunctive paths that emerge.

Findings show that patients’ perceived intimacy (PI), cohesion and privacy enhance the quality of mental healthcare service providers. The results also suggest that patients’ PI, cohesion and privacy have indirect effects on the perceived quality of care (PQC) by the service providers through consumer engagement. The fsQCA results derive that the relationship among conditions leading to patients’ perception of the quality of care in regard to mental healthcare service providers is complex and is best reflected as multiple and conjectural causation configurations.

The findings from this research contribute to the advancement of studies on patients’ experiences by empirically examining the unique dynamics of interaction between consumers (patients) and mental healthcare service providers, thereby enriching both the literature on social interactions and the understanding of the consumer–provider relationship.

The results of this study provide practical implications for mental healthcare service providers on how to combine the study variables to enhance the quality of care and satisfy more patients.

A significant research gap has ascertained the inter-relationship between PI, cohesion, privacy, engagement and PQC from the perspective of mental healthcare service providers. This research is one of the primary studies from a managerial and methodological standpoint. The study contributes by combining symmetric and asymmetric statistical tools in service marketing and healthcare research. Furthermore, the application of fsQCA helps to understand the interactions that might not be immediately obvious through traditional symmetric methods.

The occurrence and dissemination of hate videos in social media platform could pose serious harm to both society and individuals. However, the characteristics of the hate videos increase the difficulty of detection task. Hate content is usually presented in a relatively covert manner in videos, and textual content in videos plays an important role in hate video detection. In this work, we propose a textual context enhanced dynamic bimodal fusion (TCE-DBF) method for hate video detection.

The proposed method TCE-DBF introduces dynamic modality gate (DMG) and bimodal fusion transformer network to dynamically integrate multimodalities. Moreover, in order to enhance textual modality in videos, two types of textual context from the video are taken as the input of TCE-DBF. One is extracted from video frames in visual modality. The other is extracted from audio in acoustic modality. Specially, TCE-DBF splits the original audio and learns the sequence representation to capture acoustic temporal information.

Hate video detection has been one of the hotspots in recent works. However, it still faces two serious challenges. The first challenge is the hate content in videos presented in multimodalities. The second challenge is how to evaluate the importance of different modalities for multimodal fusion modeling. TCE-DBF aims to tackle these challenges. Experimental results on hate video dataset HateMM demonstrate that TCE-DBF outperforms the state-of-the-art methods, and the visualization results show that textual modality plays a more important role in hate video detection. Therefore, it is vital to consider the text in videos.

TCE-DBF can be utilized to effectively detect hate videos on social media. Besides transcript, TCE-DBF considers text in video frames, which makes detection more accurate. Meanwhile, to better achieve multimodal fusion, TCE-DBF uses DMG and bimodal fusion transformer network to dynamically assign different weights to three modalities and integrate them. The proposed TCE-DBF is novel in terms of capturing multimodal features, enhancing the textual modality and achieving high detection performance for hate video detection.