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1.
Journal of Knowledge Management ; 2022.
Article in English | Scopus | ID: covidwho-1706104

ABSTRACT

Purpose: Today many firms are pushed towards digitalization to ensure business continuity and their survival due to COVID-19. Therefore, this study aims to investigate the emerging knowledge management models in the era of digitalization and disruption. Design/methodology/approach: The authors have adopted a semi-structured approach composed of qualitative data collection from 37 business executives from India representing different industry sectors. The authors adopted a three-layer coding process (axial, open and selective) to develop a framework grounded in organizational information processing theory. Findings: Scanning the business environment leads to understand the status of current and potential business through intelligence of information, whereas better planning and execution can be achieved through employing and using the information intelligently that fits to the overall and strategic objective of the business. Overall, the business continuity can be obtained by information prosperity across the business by engaging diverse stakeholders. According to the findings, these aspects lead to the effective implementation of digital knowledge to ensure business continuity in uncertain business environment. Practical implications: The study offers the insights for managing and executing the knowledge in digital platforms, where they can think of developing a system architecture on the basis of degree of uncertainty and information processing requirements for combining the knowledge. Originality/value: The present study is unique, where it offers the meaningful visions to the designers and users of virtual knowledge management systems. © 2022, Emerald Publishing Limited.

2.
Journal of Enterprise Information Management ; 2021.
Article in English | Scopus | ID: covidwho-1437882

ABSTRACT

Purpose: Aligning business innovation with the sustainable development goals (SDGs) creates immense opportunities to solve societal challenges along with business growth and productivity. This study aims to understand the evolution of Fortune firms' strategic addressing of SDG on social media as a step towards post-pandemic recovery. Using attribution theory as a theoretical lens, the authors try to investigate how entrepreneurial orientation (EO) and SDG orientation evolve with the crisis and affect the appreciation and advocacy of the SDG-related posts. Design/methodology/approach: A mixed methodology of machine learning and Social media analytics such as content analysis, sentiment analysis and space–time analysis have been used, followed by multivariate analysis to validate the findings. Findings: An evolution in CEOs’ strategic focus surrounding SDG dimensions was found, from economic in pre-pandemic phase to social and environment during the pandemic. The SDG disclosure on social media by the Fortune CEOs seems to have an influence on their social media reputation, whereas EO has no impact on social media reputation. Research limitations/implications: Wise practice of EO in information diffusion by CEOs on social media may lead to a healthy relationship with the stakeholders and better firm performance. The SDG adoption at organisation level contributes towards a sustainable society and helps tackling the challenges faced during the pandemic. Originality/value: This study analyses the contribution of the Fortune firms to achieve a sustainable society in a pandemic environment by strategic adoption of SDGs and effective use of digital platforms. © 2021, Emerald Publishing Limited.

3.
20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021 ; 12896 LNCS:692-703, 2021.
Article in English | Scopus | ID: covidwho-1437122

ABSTRACT

Sports watching both through offline as well as online mode has always been fancied by the sports lovers. We investigate the explicit use of social media by sports enthusiasts to show their support and solidarity for their favorite sports team or a particular sportsperson virtually i.e., via e-participation. For experimentation, we have considered the fourth Test match played between India versus Australia from 15–19 January, 2021 during Border-Gavaskar Trophy 2020–2021. During these five days period, a total of 69,965 tweets on Twitter were collected by us favoring both teams. Various statistical techniques coupled with social media analytics such as polarity and emotion analysis have been applied on the collected data to get valuable insights for our results. Our experimental results unambiguously indicate that sports enthusiast globally is using social media as important alternate media to show their support towards their favorite sports team virtually, via e-participation. The emergence and amalgamation of social media and marketing has provided newer horizons to various stakeholders i.e., both viewers and broadcasters to maximize e-participation. © 2021, IFIP International Federation for Information Processing.

4.
Journal of Modelling in Management ; 2021.
Article in English | Scopus | ID: covidwho-1345818

ABSTRACT

Purpose: Presently, Indian sectors are manifesting a higher level of interdependency and making the economy more vulnerable to human-caused and natural disasters. COVID-19 pandemic creates a devastating effect on the world economy. The Indian economy was expected to lose around ₹ 32,000 crores every day during the first 21 days of complete lockdown. This motivates to conduct the research on how the COVID-19 pandemic affects the port logistics sector and how the effects of COVID-19 on port logistics propagate to other sectors owing to its interconnectedness and affect the economy of the country. Design/methodology/approach: The purpose of the study is analyze how perturbation in one sector can affect the system of interdependent sectors and it is done with interdependency analysis. It uses Wassily Leontief’s inoperability input-output model (IIM) and interval programming (IP) to develop a framework. IP is used to address situations where assumptions are not valid because of uncertainties associated with disruptive events. Findings: The model helps in describing how the effect of the COVID-19 pandemic in port logistics can propagate owing to the interconnectedness across other sectors. The model uses the latest five-year data available on the Organisation for Economic Co-operation and Development database. It uses metrics like inoperability and economic loss to study the consequences of COVID-19 pandemic on various sectors. This study also presents the ranking of the affected sectors based on their inoperability and economic loss Research limitations/implications: In the future study, other techniques like dynamic evolution, multiplex network analysis, analytical hierarchy process, pinch analysis, stochastic evolution and pinch graph could be integrated with input-output (I-O) modelling. Integrated stochastic evolution with an I-O model allows capturing the likelihood of the events;it includes probability distributions instead of point estimates for scenario parameters. Methods like dynamic evolution and multiplex network analysis can be introduced in future work to shed lights on interdependency among the sector, which could potentially provide additional insights for transport policy formulations. Originality/value: This study discusses the theory, methodology and application of the IIM-IP model in the domain of port logistics. The developed IIM-IP model helps decision-makers to manage risk in port logistics. Firstly, it studies how different sectors are interconnected with each other. Secondly, it helps in identifying the most vulnerable sectors based on economic loss and inoperability. Thirdly, it provides the ranking of the sectors based on their economic losses. © 2021, Emerald Publishing Limited.

5.
International Journal of Current Research and Review ; 13(8):166-170, 2021.
Article in English | Scopus | ID: covidwho-1344670

ABSTRACT

Introduction: The barrier method is one of the most effective methods to control the spread of infectious diseases. Objectives: Intubation and extubation are aerosol-generating procedures and to safeguard from getting the infection in a pandemic situation like SARS-COVID19, the aerosol boxes are popular among health care workers. This questionnaire survey was carried out on the anesthesiologist resident doctors working in various medical colleges across India to identify the views of front-line professionals’ on the worth of the aerosol boxes during various procedures. Methods: This survey was conducted on 153 respondents with asking 25 questions regarding various usage of aerosol boxes related to intubation, extubation and sterilization. Gender and experience of more than 10 intubations were sought to find out whether it has any influence on the overall decision making. Statistical analysis was done with SPSS, chi-square tests used for categorical variables. Results: Out of 153 participants 64.5% of respondents were female and 35.5% were males. 49.3% had more than 10 intubation experience with the boxes. Mask ventilation was difficult for 91% and intubation was difficult for 98% of respondents. 90% of respondents were against the use of the box for difficult intubations. More experienced one was in favour of selectively removing the mask while intubation (P<0.001). Use of boxes for extubation and in ICU was better among experienced with P<0.001 and P=0.010 respectively. Patient contamination (54%) and inadequate sterilization (55%) of boxes believed by many as problems related to its use. Conclusions: Aerosol boxes are used by good numbers for mask ventilation and easy intubation, the experienced ones were more comfortable in using them for extubation and ICU procedures, however, sterilization and contamination is an issue to deal with. © IJCRR.

6.
International Journal of Information and Learning Technology ; 2021.
Article in English | Scopus | ID: covidwho-1159210
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