COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions

Sheng, Jie; Amankwah‐Amoah, Joseph; Khan, Zaheer; Wang, Xiaojun

doi:10.1111/1467-8551.12441

Cited by 222 publications

(143 citation statements)

References 142 publications

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“…However, the visual arts, publishing, and social media sectors faced considerable challenges and have demonstrated a lack of ability to cope with the current crisis (Cifuentes-Faura, 2020; Davies, 2020 ). By contrast, IT and software companies have benefited from the COVID-19 pandemic and experienced a surge in demand for their products and services ( Kamal, 2020 , Gabryelczyk, 2020 , Sheng et al, 2020 ).…”

Section: Discussion and Avenues For Future Researchmentioning

confidence: 99%

The impact of the COVID-19 pandemic on the creative industries: A literature review and future research agenda

Khlystova

Kalyuzhnova

Belitski

2022

Journal of Business Research

205

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The ongoing COVID-19 pandemic has affected countless businesses, leading to serious disruptions for many industries. Drawing on the resilience literature, this study offers an understanding of the impact of the COVID-19 pandemic on the creative industries and their response to the challenges they have encountered. This study reviews 59 papers following the systematic literature review approach and reveals several positive implications of the COVID-19 pandemic within the creative industries (e.g., IT and software) as well as the negative (the music industry, festivals, cultural events). Identifying six themes related to the impact of the COVID-19 pandemic on the creative industries, we develop a response matrix based on the discussion of firms’ digital capabilities and their ability to adapt to the COVID-19 crisis. We outline future research directions using a Theory-Context-Characteristics-Methodology (TCCM) framework.

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Section: Discussion and Avenues For Future Researchmentioning

confidence: 99%

The impact of the COVID-19 pandemic on the creative industries: A literature review and future research agenda

Khlystova

Kalyuzhnova

Belitski

2022

Journal of Business Research

205

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“…One practical way of implementing coordination is designing and using end-to-end supply chain visibility with the help of digital technologies such as artificial intelligence, blockchain, and supplier collaboration platforms (Brintrup et al 2020 ; Dubey et al 2021 ; Ivanov & Dolgui, 2020a ; Ivanov et al 2019 , 2021 ; Nguyen et al 2021 ; Sheng et al 2021 ; Wamba & Queiroz, 2020 ; Winkelhaus & Grosse, 2020 ; Zouari et al 2021 ). End-to-end visibility can ensure early disruption recognition, data transparency, and prediction of possible scenarios along with collaborative decision-making support.…”

Section: Theoretical and Managerial Insightsmentioning

confidence: 99%

Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains

Ivanov

2021

Ann Oper Res

122

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Entering the COVID-19 pandemic wreaked havoc on supply chains. Reacting to the pandemic and adaptation in the “new normal” have been challenging tasks. Exiting the pandemic can lead to some after-shock effects such as “disruption tails.” While the research community has undertaken considerable efforts to predict the pandemic’s impacts and examine supply chain adaptive behaviors during the pandemic, little is known about supply chain management in the course of pandemic elimination and post-disruption recovery. If capacity and inventory management are unaware of the after-shock risks, this can result in highly destabilized production–inventory dynamics and decreased performance in the post-disruption period causing product deficits in the markets and high inventory costs in the supply chains. In this paper, we use a discrete-event simulation model to investigate some exit strategies for a supply chain in the context of the COVID-19 pandemic. Our model can inform managers about the existence and risk of disruption tails in their supply chains and guide the selection of post-pandemic recovery strategies. Our results show that supply chains with postponed demand and shutdown capacity during the COVID-19 pandemic are particularly prone to disruption tails. We then developed and examined two strategies to avoid these disruption tails. First, we observed a conjunction of recovery and supply chain coordination which mitigates the impact of disruption tails by demand smoothing over time in the post-disruption period. Second, we found a gradual capacity ramp-up prior to expected peaks of postponed demand to be an effective strategy for disruption tail control.

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“…According to Lepenioti et al [8] previous studies have majorly focused on the descriptive and predictive analytics for businesses. In the context of COVID-19 ramifications, the majority of papers have analyzed the behavior of the virus and prescribed mitigating decisions to overcome the challenges over the humanitarian health aspects [9] , [10] . Such studies could be also put into the practice to bring about the businesses’ continuity while expressing a pandemic.…”

Section: Related Workmentioning

confidence: 99%

A business retrieval model using scenario planning and analytics for life during and after the pandemic crisis

Hajipour

Aminian²,

Gharaei³

et al. 2021

Healthcare Analytics

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The COVID-19 pandemic crisis has fundamentally changed the way we live and work forever. The business sector is forecasting and formulating different scenarios associated with the impact of the pandemic on its employees, customers, and suppliers. Various business retrieval models are under construction to cope with life after the COVID-19 Pandemic Crisis. However, the proposed plans and scenarios are static and cannot address the dynamic pandemic changes worldwide. They also have not considered the peripheral in-between scenarios to propel the shifting paradigm of businesses from the existing condition to the new one. Furthermore, the scenario drivers in the current studies are generally centered on the economic aspects of the pandemic with little attention to the social facets. This study aims to fill this gap by proposing scenario planning and analytics to study the impact of the Coronavirus pandemic on large-scale information technology-led Companies. The primary and peripheral scenarios are constructed based on a balanced set of business continuity and employee health drivers. Practical action plans are formulated for each scenario to devise plausible responses. Finally, a damage management framework is developed to cope with the mental disorders of the employees amid the disease.

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COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions

Cited by 222 publications

References 142 publications

The impact of the COVID-19 pandemic on the creative industries: A literature review and future research agenda

The impact of the COVID-19 pandemic on the creative industries: A literature review and future research agenda

Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains

A business retrieval model using scenario planning and analytics for life during and after the pandemic crisis

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