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This research article identifies certain factors that strongly impact the work-life balance (WLB) of women employees in information technology (IT) companies in India. These factors are related to the challenges and enhancers to the professional and personal lives of 186 women working in various IT companies in India. The study also identifies the impact of social media (SM) in their work lives. Based on an extensive review of the literature, a set of 42 factors relating to WLB is grouped into five constructs, namely, professional challenges, personal challenges, SM involvement, professional enhancers and personal enhancers. Exploratory factor analysis is used to extract the highly impacting factors. The results show that the personal enhancers of WLB, such as regular exercises and fitness schedule, yoga and meditation, balanced diet as well as good sleep and involvement in the hobbies, loaded the heaviest as the most impacting factors; working from home heavily impacts as a professional enhancer in the WLB of women. The second heavily loaded component is comprised of personal challenges, such as inadequate self-attention, insufficient time spent on elders and children, feeling depressed or suffering with hypertension along with a professional challenge of extended or odd working time. We find that irrespective of challenges or enhancers, personal factors are perceived to be more impacting than the professional ones. Interestingly, the study shows that SM involvement has no significant impact. It is neither considered as a challenge nor an enhancer to the WLB.

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Guillain-Barre syndrome (GBS) rarely complicates pregnancy, but can be associated with high maternal and perinatal morbidity if not properly identified and treated. A high index of suspicion, supportive measures, access to intensive care unit and intravenous immunoglobulin (IVIG) therapy are cornerstones of management in GBS complicating pregnancy. Neurologists and Obstetricians should be aware of the risks of relapsing GBS in the immediate postpartum period. Surgery and anesthesia may be triggers for relapse in association with an overall increase in pro-inflammatory cytokines in the postpartum period. We report a unique case of GBS complicating pregnancy in the third trimester followed by a relapse in the postpartum period. She made a good recovery with supportive measures and a repeat course of IVIG during the relapse.

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Fetal intra-abdominal umbilical vein varix is an uncommon antenatal finding defined as focal dilatation of umbilical vein >9 mm or more than two standard deviations above the mean for the gestational age. We report the case of a 28-year-old gravida 2 diabetic lady, who presented at 35 weeks of gestation, whose antenatal ultrasonography showed a cystic lesion of size 4 × 3.8 cm showing turbulent venous flow in the fetal abdomen in continuity with the umbilical vein, diagnosed as umbilical vein varix without any other anomaly. Postnatal ultrasonography showed size reduction and thrombosis of varix. Isolated umbilical vein varix has a favorable outcome, whereas those associated with other structural anomalies have a variable prognosis. This case was reported because of the unusually large size of varix with a good outcome and also to stress the importance of detailed sonography and close fetal monitoring in the presence of umbilical vein varix.

Purpose Internet of Things (IoT) interconnects many heterogeneous devices to each other, collecting and processing large volumes of data for decision making without human intervention. However, the information security concern it brings has attracted quite a lot of attention, and, at this stage, the smart step would be to analyze the security issues of IoT platform and get to the state of readiness before embarking upon this attractive technology. The purpose of this paper is to address these issues. Design/methodology/approach IoT risk assessment through the application of the analytical hierarchy process (AHP), a favorite multi-criteria decision making technique, is proposed. The IoT risks are prioritized and ranked at different layers, before which a well-defined IoT risk taxonomy is defined comprising of 25 risks across six layers of the IoT model for developing control and mitigation plans for information security of IoT. Findings People and processes layer, network layer and applications layer are the top three critical layers with risks like the lack of awareness, malware injection, malicious code injection, denial of service and inefficient policies for IoT practice get the highest priority and rank. Pareto analysis of the overall risk factors revealed that the top ten factors contribute to 80 percent of the risks perceived by information security experts. Research limitations/implications The study focuses only on certain predefined constructs or layers of the IoT model traced from legacy studies. It is essential to re-look these constructs on a timely basis to prolong the results’ validity. The study’s empirical scope is confined only to the risk perception of select IoT experts and does not encompass a broader segment of the IoT ecosystem. Therefore, the risks assessment may not be sweeping to a bigger audience. Practical implications The study implications are two-fold: one it consolidates the earlier siloed works to intensify the need for risk assessment in the IoT domain, and second the study brings yet another contextual avenue of extending the application AHP and Pareto principle combination. The paper also draws specific critical organizational interventions about IoT risks. A comprehensive approach to prioritizing and ranking IoT risks are present in this research paper. Originality/value The contribution of this study to the benchmarking of IoT risk assessment is two-fold. One, a comprehensive risk assessment taxonomy is proposed, and two, the risks are prioritized and ranked to give a convincing reference for the organizations while making information security plans for IoT technology.

The origin of this work stems from the fact that there is a demand to see how information technology organizations are maximizing the potential role of social media in recruitment and selection. This study revealed certain convincing insights into the usage of social media in the recruitment process. A sample of 125 human resource professionals participated in the study, and using principal component analysis, this analysed the impact factors in three broad areas, namely pre recruitment screening, recruitment activities and social media benefits perceived in recruitment and selection. The study resulted in the emergence of eight distinct latent factors, namely the social media involvement, experience and expertise, achievements and endorsements, candidate quality, profile match, efficacy and reachability, target setting and branding. How the organizations make use of social media is not yet explored and this study aims at collecting the industry practices and the factors influencing the adoption of social media.