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1.
Journal of Family Business Management ; : 22, 2022.
Article in English | Web of Science | ID: covidwho-1816418

ABSTRACT

Purpose This study assesses the capability of artificial intelligence integrated customer relationship management (AI-CRM) technology for sustaining family businesses in times of crisis, such as the COVID-19 pandemic. The study also investigates the moderating role of strategic intent in sustaining family businesses in times of crisis. Design/methodology/approach The authors used dynamic capability view theory and related literature on family business and technology adoption to develop a conceptual model. This model has been validated using the structural equation modeling technique considering 332 usable responses from people of India involved in family businesses and technology adoption. The study also uses multigroup analysis to examine the moderating role of strategic intent. Findings The study finds that adoption of AI-CRM technology significantly and positively impacts dynamic capabilities of the family businesses, such as sensing, seizing and transforming capabilities, which in turn positively and significantly influences their sustainability during crises. The study also highlights the significant moderating impact of strategic intent for sustaining family business firms in uncertain times. Practical implications This study has highlighted the importance for family businesses to adopt AI-CRM technology and its influence on their dynamic capabilities. The study also provides important inputs to the management of family businesses regarding adoption of new technologies and their significance during crises. The study also documents that strategic intent could help family businesses to survive during such times. The study is conducted in India and thus cannot be generalized. Originality/value This study table is unique in that it investigates the influence of AI-CRM technology and the moderating role of strategic intent on family business sustainability in times of crisis. Moreover, the proposed theoretical model is a unique model with explanative power of 71%.

2.
Management Decision ; 2022.
Article in English | Scopus | ID: covidwho-1713936

ABSTRACT

Purpose: The purpose of this study is to identify the critical success factors (CSFs) of corporate social responsibility (CSR) in the post-COVID-19 period and to identify the cause–effect relationships amongst those CSFs. Design/methodology/approach: The success factors impacting CSR activities are identified based on inputs from 14 experts in the CSR domain. Thereafter, authors use a statistical approach to identify CSFs with inputs from useable respondents. Finally, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was applied to understand the causal relationship between different CSFs. Findings: Using the DEMATEL method, the authors developed an analytical model showing cause–effect aspects of the CSFs and identified seven factors which firms need to emphasize more to execute better CSR activities in the post-COVID-19 period. Research limitations/implications: The authors asked 14 experts for their inputs, but more experts could have made identifying success factors more comprehensive. In this study, the DEMATEL method found seven CSFs that improve CSR activities in the post-COVID-19 period. Another identification process could have enriched the study. The findings of this study cannot be generalized since this study is based on the inputs of employees from India only. Practical implications: This proposed analytical model is effective in determining the complex interactions among all impacting CSFs. Firms' CSR managers and policy makers can use the proposed model, especially in the post-COVID-19 period. Originality/value: The proposed model provides a precise and most accurate analysis for CSFs impacting CSR activities in the post-COVID-19 period. It also provides a unique opportunity for the competent authorities at firms to understand the interaction of different impacting CSFs and takes necessary actions. No other exhaustive analytical model is available in this context. © 2022, Emerald Publishing Limited.

4.
European Respiratory Journal ; 58:3, 2021.
Article in English | Web of Science | ID: covidwho-1700916
5.
Thunderbird International Business Review ; : 12, 2022.
Article in English | Web of Science | ID: covidwho-1611357

ABSTRACT

Multinational enterprises' (MNEs') workforce is made up of people from diverse backgrounds and different locations around the globe. The cross-border transfer of knowledge, skills, and best practices among MNE employees is important to maintain global standards and competitiveness. In the post-COVID-19 period, there is a greater need to exchange knowledge in the changing business environment. The purpose of this study is to examine the issues related to MN Es' global talent management, post-COVID-19. The study investigates the use of enterprise social networking applications for better knowledge exchange and tries to understand the moderating role of senior leadership team support in facilitating the usage of enterprise social networks for cross-border collaboration and talent management. After reviewing the literature and relevant theories, we developed a conceptual model, which is then validated using the SEM technique with 347 respondents from 12 MNEs. The study reveals the importance of using enterprise social networks for cross-border knowledge exchange in the post-COVID-19 period.

6.
Economic and Political Weekly ; 56(29):29-31, 2021.
Article in English | Scopus | ID: covidwho-1335654

ABSTRACT

This article sadly remembers Pradip Kumar Bose, the distinguished social scientist admired and valued by generations of scholars. We have lost him, in the unsparing second wave of Covid-19, on 29 May 2021. An engagement with his ideas and work, while always incomplete, could be a sincere gesture of remembering him. I keep in mind the impossibility of outlining his expansive oeuvre within the scope of an article. This makes one sad and hesitant. © 2021 Economic and Political Weekly. All rights reserved.

7.
American Journal of Respiratory and Critical Care Medicine ; 203(9), 2021.
Article in English | EMBASE | ID: covidwho-1277082

ABSTRACT

Rationale: Many respiratory consultations are currently taking place virtually due to the ongoing SARS-CoV-2 pandemic, while traditional lung function testing in clinic is difficult to perform. Therefore, there is increasing interest in whether home measurements of lung function could be used in place of clinic testing. However, little is known as to whether home spirometry accurately reflects clinic measurements, and whether it provides sufficient precision to inform treatment decisions. Therefore, we evaluated the agreement between home and clinic measurements of trough FEV1 using data from the CAPTAIN study. Methods: This Phase IIIA, double-blind, 24-52- week, parallel-group study randomized adults with uncontrolled asthma despite inhaled corticosteroid/long-acting β2-agonist therapy. Treatment: once-daily FF/VI (100/25, 200/25mcg) or FF/UMEC/VI (100/31.25/25, 100/62.5/25, 200/31.25/25, 200/62.5/25mcg) (ELLIPTA inhaler). Trough FEV1 and other spirometry measurements were taken in clinic at approximately the same time in the morning using a MasterScope device. Patients also measured trough FEV1 each morning at home using a peak flow meter (AM3 device);three measurements were performed at each time point, with the highest measurement recorded. We used the Bland-Altman method to assess agreement between clinic trough FEV1 and the average of the home trough FEV1 measurements collected on the same day and 2 days prior to the clinic measurement, at baseline and at Week 24 (post hoc analyses). Only patients with a value for both clinic and home trough FEV1 were included (baseline: n=2434, Week 24: n=2261). Results: Agreement between clinic and home trough FEV1 measurements was poor (Figure). At baseline, the lower and upper limits of agreement were -812 mL and 943 mL, respectively, while at Week 24 these were -771 mL and 980 mL, respectively. In total, 6% of patients were outside the limits of agreement at baseline (n=151) and Week 24 (n=143) (Figure). Conclusions: This comparison of home and clinic spirometry in the CAPTAIN study suggests that home spirometry performed with the AM3 device cannot be used as an alternative to clinic spirometry, and that caution should be exercised when using home spirometry data in research or clinical care. The reason for the lack of agreement between home and clinic trough FEV1 measurements is not clear. Possible explanations include the different devices and methodologies, and lack of supervision and coaching for home measurements. However, it is possible that home spirometry may provide different and potentially complementary information to clinic measurements. Further investigation is warranted.

8.
Thorax ; 76(SUPPL 1):A18, 2021.
Article in English | EMBASE | ID: covidwho-1194238

ABSTRACT

Introduction Severe asthma patients were assumed to be at greater risk of morbidity from infection with the novel severe acute respiratory syndrome coronavirus (COVID-19), hence, in the UK, were advised to shield. Community data on COVID-19 infection in severe asthmatics is lacking. We assessed the burden of shielding, the impact of COVID-19 and the effect of asthma medication on the UK severe asthma population. Methods Adults previously consented to inclusion in the UK Severe Asthma Registry (UKSAR) across 14 centres were contacted in June 2020 to collect data on potential COVID-19 infection, asthma control and shielding. Electronic records, where available, were reviewed for confirmation. Data was combined with clinical data from the UKSAR. Univariate and multivariate logistic regression analyses were performed to identify risk factors for COVID-19 infection. Results 1365 patients were included. 1268 (93%) were advised to shield, 1131 (89%) patients who received shielding advice followed it. Men (OR 0.4, p=0.045) and those in non-shielding households (OR 0.27, p=0.001) were less likely to follow shielding advice. 544 (47%) of patients advised to shield reported worsening of mental health;females (OR 1.59, p=0.001) and those with history of anxiety or depression (OR 2.12 p=0.001) were at greater risk. 97 (7.1%) patients had suspected/confirmed COVID-19 infection, 19 (1.39%) PCR/serology confirmed infection, 13(0.95%) were hospitalised and 2 patients (0.15%) died (table 1). 918 (67%) were on biologic therapy, 515 (37%) maintenance oral corticosteroid (mOCS). Multivariate analysis showed neither biologic therapy (OR 0.73, p=0.165) nor mOCS (OR 1.18, p=0.427) increased the risk of COVID-19 infection. Patients on biologics were less likely to require an acute course of corticosteroids for asthma symptoms (OR 0.6, p=0.002) while patients on mOCS were more likely (OR 1.96 p£0.001). Inhaled corticosteroids (ICS) were not associated with COVID-19 infection, including high dose (2000 mcg BDP equivalent) (OR 0.64, p=0.234). Hospitalised patients were on lower median doses of ICS vs non-hospitalised patients (1000 vs 2000 mcg BDP equivalent, p=0.002). Conclusion Hospitalisation and death occurred in small numbers in our severe asthma population. From this observational data, biologic agents for asthma were not associated with increased risk of COVID-19 infection or hospitalisation.

9.
Thorax ; 76(SUPPL 1):A234-A235, 2021.
Article in English | EMBASE | ID: covidwho-1194362

ABSTRACT

Introduction During the first wave of the COVID-19 pandemic in the UK there was a reduction in A&E attendances and hospital admissions. Monthly excess deaths peaked in April 2020;driven by COVID-19.1 We investigated whether hospital admissions due to asthma were reduced in April 2020 compared to the previous five years and if this was accompanied by an increase in asthma deaths. Methods Five-year data were obtained from Public Health Scotland from the time period January 2015 to June 2020. Hospital admission data was sourced from Public Health Scotland's Scottish Morbidity Records, death certificate data from National Records of Scotland and A&E attendance data from Public Health Scotland. Data were analysed using statistical process control charts. Results A&E presentations in April 2020 reduced to 44% of April 2019. Hospital admissions for all conditions reduced, as did asthma admissions (figure 1a) [218 in April 2020 versus previous 5 year mean of 418]. 7958 deaths occurred in April 2020;an excess of 2731 from previous 5-year mean. In 130 deaths asthma was recorded on the death certificate as either the underlying or the contributory cause, giving rise to around 100 apparent excess deaths versus the previous 5-year mean of 27.5 (figure 1b). Asthma was recorded as the underlying cause of death in 7 cases, comparable with the previous 5 year mean of 9.2 deaths (figure 1c). The age distribution of those with asthma on the death certificate was: 97-65, 27 aged 45-65, 6 aged 18-44 and 0 <18 years. Of the 123 patients with asthma recorded as a contributory cause, 81 had COVID-19 recorded as the underlying cause of death. All 7 patients with asthma recorded as underlying cause of death were elderly and the location of death was: 3 at home, 2 in residential care, 1 in hospital and 1 in a hospice. Conclusions Reduced acute healthcare utilisation by people with asthma during the first peak of COVID-19 did not appear to result in increased mortality where asthma was the primary underlying cause of death.

10.
Indian Journal of Biochemistry & Biophysics ; 57(6):694-700, 2020.
Article in English | Web of Science | ID: covidwho-1001351

ABSTRACT

SARS-CoV-2 infection in pregnancy and its adverse outcome on the mother as well on the fetus is emerging as an important concern, but knowledge about the prognosis is limited. In our prospective observational study total of 56 pregnant women admitted in the isolation ward of our institution were included. All women were presented with common symptoms like fever, tiredness, headache, sore throat, and cough. Three women diagnosed SARS-CoV-2/COVID-19 positive by Reverse Transcription Polymerase Chain Reaction (RTPCR) examination of the nasopharyngeal swab. All three neonates were tested negative for SARS-CoV-2 infection. The three mothers also recovered with routine care and returned home after 7 days with advice for a safe home for further 7 days. SARS-CoV-2 infection in pregnancy mostly appears in the later part of pregnancy and management is almost like the general population. There is no increased risk of severe disease during pregnancy. Neonates are mostly protected from disease transmission due to immune modulation during pregnancy.

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