Examining the Relationship between Relational e-HRM and Organizational Performance: A Study of the Banks of Lahore during the COVID-19 Pandemic

The current study empirically investigated the implementation of relational e-HRM practices in banks and examined their relationship with the overall organizational performance of the banks in Lahore during COVID-19 pandemic. It also highlighted the issues that managers face during the implementation of relational e-HRM practices. The mixed method approach was adopted to conduct this cross-sectional study. Commercial banks with their head offices in Lahore were chosen and 171 branches were selected randomly. The purposive sampling technique was used to collect qualitative data and semi-structured interviews of sixteen (16) branch managers were carried out online. Qualitative data was analyzed thematically while covariance-based structural equation modeling (CB-SEM) was used to understand the effect of e-HRM practices on organizational performance. Most of the banks were found to have implemented all the relational e-HRM practices except e-selection which was implemented only in two branches. Relational e-HRM practices showed a positive effect on the overall performance of banks during COVID-19 pandemic. Centralized decision- making, limited autonomy of bank branches, presence of senior, computer illiterate employees, and inadequate financial resources were found to obstruct the implementation of e-HRM practices. The current research added to the e-HRM literature and examined the association between relational e-HRM practices and overall organizational performance in the context of banks operating in Lahore which apparently was never done before. Only the top commercial banks operating in Lahore, one of the largest metropolitans in Pakistan, were included in this study. The generalizability of findings may be enhanced with further studies

Examining the Relationship between Relational e-HRM and Organizational Performance: A Study of the Banks of Lahore during the COVID-19 Pandemic

The current study empirically investigated the implementation of relational e-HRM practices in banks and examined their relationship with the overall organizational performance of the banks in Lahore during COVID-19 pandemic. It also highlighted the issues that managers face during the implementation of relational e-HRM practices. The mixed method approach was adopted to conduct this cross-sectional study. Commercial banks with their head offices in Lahore were chosen and 171 branches were selected randomly. The purposive sampling technique was used to collect qualitative data and semi-structured interviews of sixteen (16) branch managers were carried out online. Qualitative data was analyzed thematically while covariance-based structural equation modeling (CB-SEM) was used to understand the effect of e-HRM practices on organizational performance. Most of the banks were found to have implemented all the relational e-HRM practices except e-selection which was implemented only in two branches. Relational e-HRM practices showed a positive effect on the overall performance of banks during COVID-19 pandemic. Centralized decision- making, limited autonomy of bank branches, presence of senior, computer illiterate employees, and inadequate financial resources were found to obstruct the implementation of e-HRM practices. The current research added to the e-HRM literature and examined the association between relational e-HRM practices and overall organizational performance in the context of banks operating in Lahore which apparently was never done before. Only the top commercial banks operating in Lahore, one of the largest metropolitans in Pakistan, were included in this study. The generalizability of findings may be enhanced with further studies

Application of UF and RO for power plant's wastewater treatment and recycling for environmental sustainability

Global indicators have warned of freshwater scarcity in Asia. However, the utilization of freshwater resources has skyrocketed for commercial and industrial purposes without any strategy for recycling and reuse. The power plant's wastewater/reject mainly consisted of cooling tower blowdown water and reverse osmosis (RO) plant reject water. Due to the high turbid nature of reject water, pretreatment was carried out to achieve SDI15 <3 by employing multimedia filters (MMF), activated carbon filters (ACF) and ultrafiltration (UF). Operational parameters of RO membranes were optimized (11.5 bar, 29 °C) to achieve maximum water recovery along with higher rejection rates of critical scale forming species such as 81% total dissolved solids (TDS), 73% calcium hardness and 72% silica (Si). After accounting for backwash water and other concentrate rejections, the membrane treatment plant has achieved an appreciable recovery rate of more than 44%. The RO membrane-treated water was then incorporated in the cooling tower and a 16% reduction in freshwater makeup was achieved. Reduction of microbial growth rate as well as corrosion and scaling in the cooling tower was observed due to the reuse of treated water. This is to confirm here that brackish water RO membranes can act as a strong contender for reject water reclamation and effective utilization. HIGHLIGHTS Lower TDS Brackish Water Reverse Osmosis (BWRO) membranes are found effective for recovery of high TDS wastewater of cooling tower.; Significant expulsion of turbidity and suspended particles was achieved through contemporary technologies, i.e.,  ultrafiltration (UF) and  multimedia filters (MF).; Pretreatment plays an important role in the operational life span of RO membranes.; Membrane treatment of wastewater provided a recovery rate of more than 40%.; Wastewater recycling and reuse suppressed the utilization of freshwater and chemical consumption in the cooling tower.

Glycated hemoglobin (HbA1c) as diagnostic criteria for diabetes: the optimal cut-off points values for the Pakistani population; a study from second National Diabetes Survey of Pakistan (NDSP) 2016–2017

Aim Glycated hemoglobin (HbA1c) cut-off values as diagnostic tool in diabetes and prediabetes with its concordance to oral glucose tolerance test (OGTT) in Pakistani population.Methodology Data for this substudy was obtained from second National Diabetes Survey of Pakistan (NDSP) 2016–2017. With this survey, 10 834 individuals were recruited and after excluding known subjects with diabetes, 6836 participants fulfilled inclusion criteria for this study. Demographic, anthropometric and biochemical parameters were obtained. OGTT was used as standard diagnostic tool to screen population and HbA1c for optimal cut-off values. Participants were categorized into normal glucose tolerance (NGT), newly diagnosed diabetes (NDD) and prediabetes.Results Out of 6836 participants, 4690 (68.6%) had NGT, 1333 (19.5%) had prediabetes and 813 (11.9%) had NDD by OGTT criteria with median (IQR) age of 40 (31–50) years. Optimal HbA1c cut-off point for identification of diabetes and prediabetes was observed as 5.7% ((AUC (95% CI)=0.776 (0.757 to 0.795), p&lt;0.0001)) and 5.1% ((AUC (95% CI)=0.607 (0.590 to 0.624), p&lt;0.0001)), respectively. However, out of 68.6% NGT subjects identified through OGTT, 24.1% and 9.3% participants were found to have prediabetes and NDD, respectively by using HbA1c criteria. By using both OGTT and HbA1c criteria, only 7.9% and 7.3% were observed as prediabetes and diabetes, respectively.Conclusion Findings from second NDSP demonstrated disagreement between findings of OGTT and HbA1c as diagnostic tool for Pakistani population. As compared with international guidelines, HbA1c threshold for prediabetes and NDD were lower in this part of world. HbA1c as diagnostic tool might require ethnic or regional-based modification in cut-off points, validated by relevant community-based epidemiological surveys