Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach
بررسی روندهای نوظهور تحقیق COVID-19 در زمینه تجارت و مدیریت: رویکرد تجزیه و تحلیل کتاب سنجی-2020
The COVID-19 pandemic has been labeled as a black swan event that caused a ripple eﬀect on every aspect of human life. Despite the short time span of the pandemic—only four and half months so far—a rather large volume of research pertaining to COVID-19 has been published (107 articles indexed in Scopus and the Web of Science). This article presents the ﬁndings of a bibliometric study of COVID-19 literature in the business and management domain to identify current areas of research and propose a way forward. The analysis of the published literature identiﬁed four main research themes and 18 sub-themes. The ﬁndings and propositions of this study suggest that COVID-19 will be the catalyst of several long- and short-term policy changes and requires the theoretical and empirical attention of researchers. The oﬀered propositions will act as a roadmap to potential research opportunities.
Keywords: COVID-19 | Emerging research topics | Business & management | Bibliometric analysis | Co-word analysis
واکنش خطوط هوایی اروپا به همهگیری COVID-19 - انقباض، تلفیق و ملاحظات آینده برای تجارت و مدیریت خطوط هوایی
سال انتشار: 2020 - تعداد صفحات فایل pdf انگلیسی: 7 - تعداد صفحات فایل doc فارسی: 30
همهگیری COVID-19 و محدودیتهای مسافرتی ناشی از آن و کاهش تقاضای مصرفکننده منجر به کاهش چشمگیر و بیسابقه پروازهای مسافربری در سراسر اروپا شد. با بسته شدن مرزها، توصیه دولتهای ملی به غیر از موارد ضروری سفر و تقاضای مسافر ناپدید شد، خطوط هوایی اروپایی مجبور شدند به سرعت به این رکود واکنش نشان دهند و اقدامات بیسابقهای برای صرفهجویی در هزینهها برای محافظت از تجارت خود اعمال کنند. هدف این مقاله بررسی روشهایی است که خطوط هوایی مسافربری بزرگ اروپایی به اوج بحران COVID-19 در دوره مارس تا می 2020 پاسخ دادند. با استفاده از دادههای Eurocontrol، مدیر شبکه اروپا، این مقاله پاسخهای فردی را شناسایی میکند. اپراتورهای هواپیمایی و شرکتهای مادر تصمیم گرفتند تا عملیات خود را منعقد کرده و یکپارچه کنند. یافته ها نشان می دهد که تغییرات در عملیات پرواز، منطقیسازی ناوگان، کاهش تعداد کارکنان و پیکربندی مجدد شبکهها و ظرفیت آنها رایجترین پاسخها بود. این مقاله با بحث در مورد ملاحظات آینده برای تجارت و مدیریت خطوط هوایی به پایان می رسد زیرا شرکت های هواپیمایی اروپایی به دنبال بازسازی عملیات خود و انطباق با واقعیت جدید پس از کووید هستند.
کلید واژه ها: خطوط هوایی | کووید | تقاضا | پاسخ های کسب و کار | اروپا
|مقاله ترجمه شده|
Mental health and capacity laws in Northern Ireland and the COVID-19 pandemic: Examining powers, procedures and protections under emergency legislation
قوانین بهداشت و ظرفیت های روانی در ایرلند شمالی و بیماری همه گیر COVID-19: بررسی قدرت ، رویه ها و حمایت ها تحت قانون اضطراری-2020
This article examines the changes made to mental health and capacity laws in Northern Ireland through temporary emergency legislation, known as the Coronavirus Act 2020. The purpose of the legislation was to respond to the emergency situation created by the COVID-19 pandemic, in particular the increase pressure placed on health services in the United Kingdom. An overview is provided of the governments rationale for the changes to Northern Ireland mental health and capacity laws, as well as exploring how they are likely to be operationalised in practice. Consideration is also given as to how such changes may impact upon existing human rights protections for persons assessed as lacking mental capacity. It is argued that it is important that regular parliamentary oversight is maintained in relation to the potential impact and consequences of such changes during the period they are in force. This should be done in order to assess whether they remain a necessary, proportionate and least restrictive response to the challenges faced in managing mental health and capacity issues in Northern Ireland during this public health emergency.
Keywords: Mental capacity law | Mental health law | Human rights | Northern Ireland | COVID-19 | Coronavirus Act 2020 | Emergency legislation
COVID-19: Fear, quackery, false representations and the law
COVID-19: ترس ، حواس پرتی ، نمایش های دروغین و قانون-2020
Fear, anxiety and even paranoia can proliferate during a pandemic. Such conditions, even when subclinical, tend to be a product of personal and predispositional factors, as well as shared cultural influences, including religious, literary, film, and gaming, all of which can lead to emotional and less than rational responses. They can render people vulnerable to engage in implausible conspiracy theories about the causes of illness and governmental responses to it. They can also lead people to give credence to simplistic and unscientific misrepresentations about medications and devices which are claimed to prevent, treat or cure disease. In turn such vulnerability creates predatory opportunities for the unscrupulous. This article notes the eruption of quackery during the 1889-1892 Russian Flu and the 1918-1920 Spanish Flu and the emergence during 2020 of spurious claims during the COVID-19 pandemic. It identifies consumer protection strategies and interventions formulated during the 2020 pandemic. Using examples from the United States, Japan, Australia and the United Kingdom, it argues that during a pandemic there is a need for three responses by government to the risks posed by conspiracy theories and false representations: calm, scientifically-based messaging from public health authorities; cease and desist warnings directed toward those making extravagant or inappropriate claims; and the taking of assertive and well publicised legal action against individuals and entities that make false representations during a pandemic in order to protect consumers rendered vulnerable by their emotional responses to the phenomenology of the pandemic.
Key words: Pandemics | COVID-19 | vulnerabilities | false representations | conspiracy theories | apocalyptic computer games | pandemic films | pandemic literature | quackery | fear | dread | consumer protection | public health responses | cease and desist orders | prosecution
Show me a man or a woman alone and Ill show you a saint: Changes in the frequency of criminal incidents during the COVID-19 pandemic
یک مرد یا زن را به تنهایی به من نشان دهید و من یک قدیس را به شما نشان خواهم داد: تغییر در فراوانی حوادث جنایی در طول بیماری همه گیر COVID-19-2020
Objectives: To investigate the effect of the COVID-19 pandemic on the frequency of various crime types (property, violent, and mischief) in Vancouver, Canada. Methods: Crime data representing residential burglary, commercial burglary, theft of vehicle, theft from vehicle, theft, violence, and mischief are analysed at the city level using interrupted time series techniques. Results: While COVID-19 has not had an impact on all crime types, statistically significant change has been identified in a number of cases. Depending on the crime type, the magnitude and direction of the change in frequency varies. It is argued that (mandated) social restrictions, shifted activity patterns and opportunity structures which are responsible for these findings. Conclusions: We find support for changes in the frequency of particular crime types during the COVID-19 pandemic. This is important for criminal justice and social service practitioners when operating within an extraordinary event.
Keywords: Pandemic | Extraordinary event | Crime | COVID-19 | Canada
Strategic responses of the hotel sector to COVID-19: Toward a refined pandemic crisis management framework
پاسخ های استراتژیک بخش هتل به COVID-19: به سمت یک چارچوب تصفیه شده مدیریت بحران همه گیر-2020
The Covid-19 pandemic has long-lasting impacts that require the hotel sector to revise, innovate and transform their businesses. However, the literature related to this area remains vastly under- developed. Based on 219 articles collected from global news media and an integrated crisis management framework, this research note map out "strategic responses" from the hotel sector and suggest implications for hotels to address the evolving pandemic situation. Three modifications were proposed to refine and further develop a pandemic crisis management framework.
Keywords: Covid-19 | recovery hotel | Leximancer | news media | crisis management | strategies
Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare
مقاله موضع گیری در مورد تصویربرداری COVID-19 و هوش مصنوعی: از نیازهای بالینی و چالش های فن آوری تا راه حل های اولیه هوش مصنوعی در آزمایشگاه و سطح ملی به سمت دوره جدیدی برای هوش مصنوعی در مراقبت های بهداشتی-2020
In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from clinical requirements to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in designing system solutions - per specific task; as well as design issues in managing the disease at the national level. We focus on three specific use-cases for which AI systems can be built: early disease detection, management in a hospital setting, and building patient-specific pre- dictive models that require the combination of imaging with additional clinical data. Infrastructure con- siderations and population modeling in two European countries will be described. This pandemic has made the practical and scientific challenges of making AI solutions very explicit. A discussion concludes this paper, with a list of challenges facing the community in the AI road ahead.
Keywords: COVID-19 | Imaging | AI
Artificial Intelligence (AI) applications for COVID-19 pandemic
برنامه های هوش مصنوعی برای بیماری همه گیر COVID-19-2020
Background and aims: Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics. Methods: The rapid review of the literature is done on the database of Pubmed, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease. Results: We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data. Conclusions: Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to tracks data of confirmed, recovered and death cases.
Keywords: Artificial Intelligence (AI) | AI Applications | COVID-19 | Coronavirus | Pandemic
The prospects of waste management in the hospitality sector post COVID-19
چشم انداز مدیریت پسماند در بخش مهمان نوازی پس از COVID-19-2020
COVID-19 has imposed significant detrimental effects on the global hospitality sector. These effects have pri- marily been considered from the socio-economic perspective, ignoring the implications of the pandemic for the environmental performance of hospitality services. By drawing upon emerging evidence from various academicand non-academic sources, this conceptual paper critically evaluates the implications of the preventative and protective measures adopted against COVID-19 for the generation of the hospitality sector’s food and plastic waste. The implications are divided into direct and indirect and considered through the prism of temporality oftheir anticipated occurrence (immediate, short-term and medium-term perspective). The paper proposes po- tential strategies to aid in the management of these wastes in the hospitality sector in a post-pandemic world. To address the issue of food waste, the hospitality sector should be integrated into alternative food networks (AFNs) and short food supply chains (SFSCs). Business coopetition between hospitality enterprises and other actors of the food supply chain is necessary for the success of such integration. To address the issue of plastic waste, thehospitality sector should invest in ‘green’ innovation. This investment needs to be encouraged and supported bytargeted policy interventions. The paper argues that these strategies are critical not only in the context of the COVID-19 pandemic, but will also remain valid for the sustained development of the hospitality sector in light of future disastrous events, especially climate change. The paper discusses the institutional and organisational prerequisites for the effective implementation of these strategies and highlights the related research opportunities.
Keywords: Solid waste | Food waste | Plastic waste | Business coopetition | ‘Green’ innovation | COVID-19 pandemic
AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
AI4COVID-19: هوش مصنوعی تشخیص اولیه COVID-19 را از نمونه های سرفه از طریق یک برنامه فعال می کند-2020
Background: The inability to test at scale has become humanity’s Achille’s heel in the ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game changer. Building on the prior work on coughbased diagnosis of respiratory diseases, we propose, develop and test an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app. The app, named AI4COVID- 19 records and sends three 3-s cough sounds to an AI engine running in the cloud, and returns a result within 2 min. Methods: Cough is a symptom of over thirty non-COVID-19 related medical conditions. This makes the diagnosis of a COVID-19 infection by cough alone an extremely challenging multidisciplinary problem. We address this problem by investigating the distinctness of pathomorphological alterations in the respiratory system induced by COVID-19 infection when compared to other respiratory infections. To overcome the COVID-19 cough training data shortage we exploit transfer learning. To reduce the misdiagnosis risk stemming from the complex dimensionality of the problem, we leverage a multi-pronged mediator centered risk-averse AI architecture. Results: Results show AI4COVID-19 can distinguish among COVID-19 coughs and several types of non-COVID-19 coughs. The accuracy is promising enough to encourage a large-scale collection of labeled cough data to gauge the generalization capability of AI4COVID-19. AI4COVID-19 is not a clinical grade testing tool. Instead, it offers a screening tool deployable anytime, anywhere, by anyone. It can also be a clinical decision assistance tool used to channel clinical-testing and treatment to those who need it the most, thereby saving more lives.
Keywords: Artificial intelligence | COVID-19 | Preliminary medical diagnosis | Pre-screening | Public healthcare