The paradoxical effects of high involvement work practices on employees and service outcomes: a trichromatic perspective.

This research delves into the complex impact of High Involvement Work Practices (HIWPs) on various facets of employee well-being and service outcomes within the framework of the trichromatic service conception. Utilizing the Job Demands-Resources (JD-R) model, the study uncovers the dual, both beneficial and detrimental, effects of HIWPs on service performance, work-family conflict, subjective well-being, and work-family enrichment. Examining the conflicting paths of job demands (workload) and job resources (customer orientation), the analysis incorporates the moderating influence of a strategic contextual factor-supervisor support. Data was collected through self-administered questionnaires from 475 respondents in Pakistani banks, and the analysis employed moderated mediation analysis using SPSS, AMOS, and the PROCESS Macro. All proposed hypotheses received support. The results indicate that HIWPs enhance service performance by promoting customer orientation but concurrently escalate workload, leading to adverse consequences for subjective well-being and work-family conflict. The study underscores the importance of implementing HIWPs under supportive leadership to maximize positive outcomes and mitigate negative consequences. Ultimately, this approach enables employees to effectively serve customers, maintain a healthy work-family balance, and contribute to the long-term growth and sustainability of organizations.

Measuring vaccination willingness in response to COVID-19 using a multi-criteria-decision making method.

The pandemic COVID-19 is continued to the massive burden of morbidity and mortality while disrupting economies and societies all over the world. At an earlier stage, wearing a face mask, social distancing, and hand hygiene were suggested to limit the transmission of this infection. The WHO, CDC, and other governing bodies were doing an effort to develop the coronavirus vaccine. Now COVID-19 vaccines are available to protect people against the coronavirus. People are hesitant about whether to receive a vaccination or do not to vaccinate. This study was aimed to analyze the COVID-19 vaccination willingness level of the general public of Pakistan to manage the COVID-19 disease. A multi-criteria decision-making method known as an analytical hierarchical method was applied to determine the COVID-19 vaccination willingness level of the public. The significant determinants of COVID-19 vaccination willingness were cues to action, perceived benefits, positive attitude, government recommendation, as well as perceived stress scoring high weights to the vaccination. Determinants of willingness to uptake the COVID-19 vaccine were individual decision, vaccine origin, adapting to change, and perceived barriers high obstacles to vaccinating. The determinants relating to the COVID-19 vaccine may help to increase the uptake of the vaccination program. The government may need communication campaigns to reinforce the benefits of the vaccine.

The Advent of Coronavirus Disease 2019 and the Impact of Mobile Learning on Student Learning Performance: The Mediating Role of Student Learning Behavior.

The recent coronavirus disease 2019 (COVID-19) pandemic pushed almost all institutions to adopt online and virtual education. The uncertainty of this situation produced various questions that perplexed educationists regarding what implications the pandemic would have on educational institutions, especially regarding how the switch to online education would impact the behavior and performance of students. The vast importance of this matter attracted the attention of researchers and served as the motivation for this research, which aims to resolve this confusion by studying the use of mobile learning (ML) among students for educational purposes during the COVID-19 period. This study also examines how this situation has affected student learning behavior (LB) and performance (SP) in the higher education setting. This research is based on collaborative learning theory, sociocultural learning theory, and ML theory. This quantitative research employed the convenient sampling technique to collect data through structured questionnaires distributed to 396 students of higher education institutions who carry a mobile device. This study used descriptive and inferential statistics to make the data more meaningful. Structural equation modeling (SEM) with AMOS software was used for hypothesis testing. The results showed that ML was a significant and positive predictor of SP and LB. Moreover, student LB partially mediated the relationship between ML and SP. The findings suggest that the academic performance of students can be enhanced by building a ML environment that aligns with the LB of students. Nevertheless, content suitable for ML must be developed, and future research should be conducted on this topic.