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This paper aims to investigate the mediating role of moral justification in the relationship between stretch goals and counterproductive work behavior (CWB).

A sample of 149 US-based middle-level managers drawn from an online survey relying on Qualtrics was used for this study.

The results show that the level of stretch goals is positively related to CWB. Furthermore, the results show that moral justification partially mediates this relationship. The results suggest that when a goal is set at low or medium levels, stretch goals are not related to CWB.

The result has managerial implications suggesting that the senior management should avoid setting the level of stretch goals that employees would perceive as high because a high level of stretch goals could suggest extremely challenging but unattainable goals, resulting in employees engaging in CWB.

The “bright side” of stretch goals can enhance organizational performance however the “dark side” of stretch goals can backfire and undermine organizational performance. This paper examines the “dark side” of stretch goals that show that when employees perceive goals set are extremely challenging but unattainable, such perception of high-performance goals would induce employees’ desire to engage in CWB, especially when they could morally justify (rationalize) such behavior.

The current study aims to investigate how young smartphone users in Bangladesh relate their brand experiences to brand loyalty. In addition, we want to visualize the direct and mediating effects of brand satisfaction, brand love and brand advocacy in our model.

The researchers examined the hypotheses by employing structural equation modeling (SEM) in AMOS and Decision Analyst STATS, version 2.0, with a sample size of 470 Bangladeshi smartphone users. The authors constructed the conceptual model by drawing upon both theoretical and empirical foundations. The researchers obtained data by utilizing an adopted and self-administered pre-structured questionnaire distributed via an online platform.

The results showed that brand experience greatly influences brand satisfaction, love, advocacy and loyalty, all of which have a significant impact on users’ brand loyalty across the country. The findings also suggested that the function of brand satisfaction as a critical mediator in the link between brand experience and brand loyalty was significant.

This experiment contributes to the body of knowledge by focusing on emotional brand attachments like brand satisfaction, love and advocacy and proposing that they can mediate experience and loyalty in the mobile market. The study also helps managers and executives better understand the primary drivers of smartphones, which are essential for generating and sustaining consumers’ happiness and loyalty in today’s highly competitive consumer market.

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.

Learning capability improves knowledge resources fosters innovative capabilities and firm competitiveness. The study aims to examine the human resource management (HRM) practice and employee creativity relationship using organizational learning capability (OLC) as a mediating variable.

Data were collected from 67 small-sized and 96 medium-sized firms. Confirmatory factor analysis was applied to establish construct validity and reliability. Structural equation modeling was used to evaluate the proposed model and hypotheses.

The results show that performance appraisal and employee creativity were positively related. Employee participation and employee creativity were positively related. Compensation and employee creativity were nonsignificantly related. OLC mediates the performance appraisal and employee creativity relationship. Similarly, OLC mediates the employee participation and employee creativity relationship. However, OLC did not mediate the compensation and employee creativity relationship.

Due to the research’s SME focus and cross-sectional data, the finding’s generalizability will be constrained.

The findings of the study would be useful to policymakers, stakeholders and management of SMEs in developing a supportive learning climate that promotes experiential and continuous learning cultures to ensure strategic capabilities, sustainable competitive advantage and innovativeness.

The study contributes to the extant literature on OLC, HRM practices and employee creativity by empirically evidencing that OLC mediates the performance appraisal, employee participation and employee creativity relationship.

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.