PurposeThis research develops and tests a model for organizational identification (OID) in a sample of knowledge workers in India. It calls attention to the relational antecedents of OID that are often overlooked in existing literature. Strong theoretical arguments are also built for context-specific outcome behaviors such as intrinsic motivation (IM) and innovative work behavior (IWB) that are relevant to knowledge work.Design/methodology/approachData were collected from 357 IT industry employees in India. Partial least squares structural equation modeling (PLS-SEM) was used to test the hypotheses and the path model.FindingsStrong support was found for relational antecedents of OID and the outcome variable IWB. The findings indicated that OID impacts IWB through the mediating mechanism of IM. Overall, the model demonstrated strong predictive power.Practical implicationsThe findings suggest that social and relational variables could be strong managerial levers to increase the feeling of belongingness experienced by knowledge workers in India. In turn, OID can impact IWB, which is a significant outcome for knowledge work.Originality/valueThe study finds strong support for hypothesized relationships that have been unexplored or underexplored in mainstream OID literature. Relational antecedents were found to be strong predictors of OID in this sample. Also, the relationship between OID and IWB, an outcome behavior that is specifically relevant to knowledge-driven businesses, has not been explored earlier.

The neurotropism of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can potentially explain the worsening of symptoms in patients with a history of neurological conditions such as stroke, Parkinson's disease, Alzheimer's, and epilepsy. Several studies have reported that these pre-existing conditions may worsen with a higher frequency of flare-ups, thus resulting in a more significant risk of patient mortality. In this review, we sought to provide an overview of the relationship between pre-existing neurological disorders and COVID-19, focusing on whether the initial infection directly influenced the severity of symptoms. We systematically searched the electronic database PubMed (MEDLINE) and used specific keywords related to our aims from January 2020 to July 2022. All articles published on COVID-19 with keywords pertaining to pre-existing neurological diseases were retrieved and subsequently analyzed. After independent review, the data from 107 articles were selected and evaluated. After analyzing the data from selected articles reviewing the effect of COVID-19 on neurological conditions, we have documented the relationship between said pre-existing neurological diseases, showing an increased risk of hospitalization, admission length, worsening of symptoms, and even mortality in COVID-19 patients.

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