Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 63
Filter
1.
Electronic Commerce Research and Applications ; : 101205, 2022.
Article in English | ScienceDirect | ID: covidwho-2061094

ABSTRACT

With the outbreak of COVID-19 and some environmental problems in recent years, consumers prefer to shop online and purchase green products. Considering the benefit of the e-commerce platform, offline retailers face the challenge of whether to enter e-commerce platforms. Moreover, different power structures may affect retailer encroachment in the platform economy. Thus, we develop theoretical models considering retailer channel selections, different power structures between a retailer and a manufacturer, and cap-and-trade policy. The main results show that the optimal channel selection of the retailer is affected by the annual service fee, the power structure and the carbon trading price. An interesting result is that the retailer entering the platform has a good chance to reduce the total carbon emissions. In the extensions, we consider online reviews, consumers’ channel preferences, the carbon emission of the logistics, and the shipping cost, and find that the robustness of the main results still holds.

2.
IUP Journal of Applied Finance ; 28(3):43-53, 2022.
Article in English | ProQuest Central | ID: covidwho-2047006

ABSTRACT

The present study examines the evidence of herd behavior of investors in the Indian stock market during extreme volatility, i.e., bulí and bear phases. It also investigates the herd behavior during the first and second waves of the Covid-19 pandemic. A sample of 50 companies listed on NSE during January 2019 to December 2021 is considered for the study, employing the methods developed by Christie and Huang (1995) and Chang et al. (2000). The findings present evidence of herd behavior during the first wave of the pandemic, while there is no evidence of such behavior during the second wave. Further, the study concludes that investors mimic the investment behavior of others in an extreme high return period only. There is no indication of herd behavior in extreme low return period and in the whole sample period.

3.
J Clin Med ; 11(17)2022 Sep 03.
Article in English | MEDLINE | ID: covidwho-2023805

ABSTRACT

In older adults, community-acquired pneumonia (CAP) is often aspiration-related. However, as aspiration pneumonia (AP) lacks clear diagnostic criteria, the reported prevalence and clinical management vary greatly. We investigated what clinical factors appeared to influence the diagnosis of AP and non-AP in a clinical setting and reconsidered a more clinically relevant approach. Medical records of patients aged ≥75 years admitted with CAP were reviewed retrospectively. A total of 803 patients (134 APs and 669 non-APs) were included. The AP group had significantly higher rates of frailty, had higher SARC-F scores, resided in institutions, had neurologic conditions, previous pneumonia diagnoses, known dysphagia, and were more likely to present with vomiting or coughing on food. Nil by mouth orders, speech therapist referrals, and broad-spectrum antibiotics were significantly more common, while computed tomography scans and blood cultures were rarely performed; alternative diagnoses, such as cancer and pulmonary embolism, were detected significantly less. AP is diagnosed more commonly in frail patients, while aspiration is the underlying aetiology in most types of pneumonia. A presumptive diagnosis of AP may deny patients necessary investigation and management. We suggest a paradigm shift in the way we approach older patients with CAP; rather than trying to differentiate AP and non-AP, it would be more clinically relevant to recognise all pneumonia as just pneumonia, and assess their swallowing functions, causative organisms, and investigate alternative diagnoses or underlying causes of dysphagia. This will enable appropriate clinical management.

4.
Respir Res ; 23(1): 239, 2022 Sep 10.
Article in English | MEDLINE | ID: covidwho-2021290

ABSTRACT

INTRODUCTION: Despite improvements in medical science and public health, mortality of community-acquired pneumonia (CAP) has barely changed throughout the last 15 years. The current SARS-CoV-2 pandemic has once again highlighted the central importance of acute respiratory infections to human health. The "network of excellence on Community Acquired Pneumonia" (CAPNETZ) hosts the most comprehensive CAP database worldwide including more than 12,000 patients. CAPNETZ connects physicians, microbiologists, virologists, epidemiologists, and computer scientists throughout Europe. Our aim was to summarize the current situation in CAP research and identify the most pressing unmet needs in CAP research. METHODS: To identify areas of future CAP research, CAPNETZ followed a multiple-step procedure. First, research members of CAPNETZ were individually asked to identify unmet needs. Second, the top 100 experts in the field of CAP research were asked for their insights about the unmet needs in CAP (Delphi approach). Third, internal and external experts discussed unmet needs in CAP at a scientific retreat. RESULTS: Eleven topics for future CAP research were identified: detection of causative pathogens, next generation sequencing for antimicrobial treatment guidance, imaging diagnostics, biomarkers, risk stratification, antiviral and antibiotic treatment, adjunctive therapy, vaccines and prevention, systemic and local immune response, comorbidities, and long-term cardio-vascular complications. CONCLUSION: Pneumonia is a complex disease where the interplay between pathogens, immune system and comorbidities not only impose an immediate risk of mortality but also affect the patients' risk of developing comorbidities as well as mortality for up to a decade after pneumonia has resolved. Our review of unmet needs in CAP research has shown that there are still major shortcomings in our knowledge of CAP.


Subject(s)
COVID-19 , Community-Acquired Infections , Pneumonia , Anti-Bacterial Agents/therapeutic use , Community-Acquired Infections/diagnosis , Community-Acquired Infections/epidemiology , Community-Acquired Infections/therapy , Europe/epidemiology , Humans , Pneumonia/diagnosis , Pneumonia/epidemiology , Pneumonia/therapy , SARS-CoV-2
5.
Operational Research ; 22(4):3747-3766, 2022.
Article in English | ProQuest Central | ID: covidwho-2014540

ABSTRACT

This paper examines the capability of the Cyclically Adjusted Price to Earnings (CAPE) or Shiller’s P/E ratio, along with other relative valuation ratios such as the P/E and the P/BV, to predict future returns of the FTSE/ASE Large Cap Index, starting from the development of the index (1997) to December 2018. We have herein used several regression models in order to examine the relationship between the above ratios and the future returns of 1, 3, 5 and 10 years. We show that, while P/E and P/BV ratios are not correlated to future returns, the CAPE ratio and its variation CAPE 5, which uses real 5 year earnings, are efficient estimators of future returns. Our results imply the informational inefficiency of the Greek Stock Market.

6.
Expert Rev Mol Diagn ; 22(1): 49-60, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-2008441

ABSTRACT

INTRODUCTION: Pneumonia is one of the main causes of mortality associated with infectious diseases worldwide. Several challenges have been identified in the management of patients with pneumonia, ranging from accurate and cost-effective microbiological investigations, prompt and adequate therapeutic management, and optimal treatment duration. AREAS COVERED: In this review, an updated summary on the current management of pneumonia patients is provided and the epidemiological issues of infectious respiratory diseases, which in the current pandemic situation are of particular concern, are addressed. The clinical and microbiological approaches to pneumonia diagnosis are reviewed, including discussion about the new molecular assays pointing out both their strengths and limitations. Finally, the current recommendations about antibiotic treatment are examined and discussed depending on the epidemiological contexts, including those with high prevalence of multidrug-resistant bacteria. EXPERT OPINION: We claim that rapid diagnostic tests, if well-positioned in the diagnostic workflow and reserved for the subset of patients who could most benefit from these technologies, may represent an interesting and feasible tool to optimize timing of targeted treatments especially in terms of early de-escalation or discontinuation of antibiotic therapy.


Subject(s)
Diagnostic Tests, Routine , Pneumonia , Anti-Bacterial Agents/therapeutic use , Drug Resistance, Multiple, Bacterial , Humans , Pneumonia/diagnosis , Pneumonia/drug therapy , Prevalence
7.
Entropy (Basel) ; 24(8)2022 Aug 10.
Article in English | MEDLINE | ID: covidwho-1979161

ABSTRACT

Valued in hundreds of billions of Malaysian ringgit, the Bursa Malaysia Financial Services Index's constituents comprise several of the strongest performing financial constituents in Bursa Malaysia's Main Market. Although these constituents persistently reside mostly within the large market capitalization (cap), the existence of the individual constituent's causal influence or intensity relative to each other's performance during uncertain or even certain times is unknown. Thus, the key purpose of this paper is to identify and analyze the individual constituent's causal intensity, from early 2018 (pre-COVID-19) to the end of the year 2021 (post-COVID-19) using Granger causality and Schreiber transfer entropy. Furthermore, network science is used to measure and visualize the fluctuating causal degree of the source and the effected constituents. The results show that both the Granger causality and Schreiber transfer entropy networks detected patterns of increasing causality from pre- to post-COVID-19 but with differing causal intensities. Unexpectedly, both networks showed that the small- and mid-caps had high causal intensity during and after COVID-19. Using Bursa Malaysia's sub-sector for further analysis, the Insurance sub-sector rapidly increased in causality as the year progressed, making it one of the index's largest sources of causality. Even after removing large amounts of weak causal intensities, Schreiber transfer entropy was still able to detect higher amounts of causal sources from the Insurance sub-sector, whilst Granger causal sources declined rapidly post-COVID-19. The method of using directed temporal networks for the visualization of temporal causal sources is demonstrated to be a powerful approach that can aid in investment decision making.

8.
Lancet Reg Health Eur ; 21: 100473, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1977612

ABSTRACT

Background: The emergence of COVID-19 and public health measures implemented to reduce SARS-CoV-2 infections have both affected acute lower respiratory tract disease (aLRTD) epidemiology and incidence trends. The severity of COVID-19 and non-SARS-CoV-2 aLRTD during this period have not been compared in detail. Methods: We conducted a prospective cohort study of adults age ≥18 years admitted to either of two acute care hospitals in Bristol, UK, from August 2020 to November 2021. Patients were included if they presented with signs or symptoms of aLRTD (e.g., cough, pleurisy), or a clinical or radiological aLRTD diagnosis. Findings: 12,557 adult aLRTD hospitalisations occurred: 10,087 were associated with infection (pneumonia or non-pneumonic lower respiratory tract infection [NP-LRTI]), 2161 with no infective cause, with 306 providing a minimal surveillance dataset. Confirmed SARS-CoV-2 infection accounted for 32% (3178/10,087) of respiratory infections. Annual incidences of overall, COVID-19, and non- SARS-CoV-2 pneumonia were 714.1, 264.2, and 449.9, and NP-LRTI were 346.2, 43.8, and 302.4 per 100,000 adults, respectively. Weekly incidence trends in COVID-19 aLRTD showed large surges (median 6.5 [IQR 0.7-10.2] admissions per 100,000 adults per week), while other infective aLRTD events were more stable (median 14.3 [IQR 12.8-16.4] admissions per 100,000 adults per week) as were non-infective aLRTD events (median 4.4 [IQR 3.5-5.5] admissions per 100,000 adults per week). Interpretation: While COVID-19 disease was a large component of total aLRTD during this pandemic period, non- SARS-CoV-2 infection still caused the majority of respiratory infection hospitalisations. COVID-19 disease showed significant temporal fluctuations in frequency, which were less apparent in non-SARS-CoV-2 infection. Despite public health interventions to reduce respiratory infection, disease incidence remains high. Funding: AvonCAP is an investigator-led project funded under a collaborative agreement by Pfizer.

9.
RAIRO - Operations Research ; 56(4):2245-2275, 2022.
Article in English | Scopus | ID: covidwho-1972684

ABSTRACT

Carbon and Sulfur dioxides emissions are the key issues of global warming that affects on human health. Emissions cap- and -trade policy is a key mechanism implemented in several countries to reduce the emissions. Nowadays, public gathering is restricted due to the pandemic situation caused by COVID-19. As a result, people are facing huge problems in their regular activities and lifestyle. During the lockdown periods, demands for few merchandises decrease and the deterioration rate increases. Moreover, because of the unavailability of raw materials and labours during the lockdown, shortages occur at the manufacturing company. Keeping these problems in mind, a multi-objective sustainable economic production quantity model is proposed with partially back-ordering shortages, in which the effects of sustainability are investigated. To handle the demand fluctuation throughout the current pandemic, emergency level dependent demand rate is assumed. To reduce greenhouse gases emissions and deterioration rate, investments in green technology and preservation technology efforts are used. The objectives of this study are to maximize the manufacturera s profit and minimize the greenhouse gases emissions for producing green products. The multi-objective model is solved by utilizing the fuzzy goal programming approach. The mathematical model is illustrated by four numerical examples. The main finding of the work is that under both green and preservation technologies investments, a sustainable model with partially back-ordering shortages and lockdown level dependent demand rate decreases justifiable greenhouse gases emissions and increases the producta s greening level. The results indicate that the system profit is increased by 16.1% by investing in both preservation and green technology. Furthermore, a sensitivity analysis is performed along with some managerial insights for practitioners. Finally, the paper is ended with conclusions and future research tips. ©

10.
Front Bioeng Biotechnol ; 10: 903426, 2022.
Article in English | MEDLINE | ID: covidwho-1968989

ABSTRACT

Background: The ability to assess adverse outcomes in patients with community-acquired pneumonia (CAP) could improve clinical decision-making to enhance clinical practice, but the studies remain insufficient, and similarly, few machine learning (ML) models have been developed. Objective: We aimed to explore the effectiveness of predicting adverse outcomes in CAP through ML models. Methods: A total of 2,302 adults with CAP who were prospectively recruited between January 2012 and March 2015 across three cities in South America were extracted from DryadData. After a 70:30 training set: test set split of the data, nine ML algorithms were executed and their diagnostic accuracy was measured mainly by the area under the curve (AUC). The nine ML algorithms included decision trees, random forests, extreme gradient boosting (XGBoost), support vector machines, Naïve Bayes, K-nearest neighbors, ridge regression, logistic regression without regularization, and neural networks. The adverse outcomes included hospital admission, mortality, ICU admission, and one-year post-enrollment status. Results: The XGBoost algorithm had the best performance in predicting hospital admission. Its AUC reached 0.921, and accuracy, precision, recall, and F1-score were better than those of other models. In the prediction of ICU admission, a model trained with the XGBoost algorithm showed the best performance with AUC 0.801. XGBoost algorithm also did a good job at predicting one-year post-enrollment status. The results of AUC, accuracy, precision, recall, and F1-score indicated the algorithm had high accuracy and precision. In addition, the best performance was seen by the neural network algorithm when predicting death (AUC 0.831). Conclusions: ML algorithms, particularly the XGBoost algorithm, were feasible and effective in predicting adverse outcomes of CAP patients. The ML models based on available common clinical features had great potential to guide individual treatment and subsequent clinical decisions.

11.
Reviews in Cardiovascular Medicine ; 23(5):14, 2022.
Article in English | Web of Science | ID: covidwho-1918319

ABSTRACT

Atrial fibrillation (AF) is the most common arrhythmia in the setting of critically ill patients. Pneumonia, and in particular community-acquired pneumonia, is one of the most common causes of illness and hospital admission worldwide. This article aims to review the association between AF and acute diseases, with specific attention to pneumonia, from the pathophysiology to its clinical significance. Even though the relationship between pneumonia and AF has been known for years, it was once considered a transient bystander. In recent years there has been growing knowledge on the clinical significance of this arrhythmia in acute clinical settings, in which it holds a prognostic role which is not so different as compared to that of the so-called "primary" AF. AF is a distinct entity even in the setting of pneumonia, and acute critical illnesses in general, and it should therefore be managed with a guidelines-oriented approach, including prescription of anticoagulants in patients at thromboembolic risk, always considering patients' individuality. More data on the significance of the arrhythmia in this setting will help clinicians to give patients the best possible care.

12.
IUP Journal of Applied Finance ; 28(2):24-33, 2022.
Article in English | ProQuest Central | ID: covidwho-1904884

ABSTRACT

This paper scrutinizes the Indian stock market performance after the central government's announcement of lockdown on March 22,2020 due to the Covid-19 pandemic. The lockdown had different impacts on varied sectors which were considered for the study, namely, banking, oil and gas, healthcare, capital goods, Fast Moving Consumer Durables (FMCD), and small-cap and mid-cap segments. The data was collected from BSE indexes, and an event study with estimation window from May 14, 2019 to March 5, 2020, a period of 201 market working days, was considered. The findings reveal that small-cap, mid-cap, FMCD and healthcare sectors were most impacted by the nationwide lockdown and thus had abnormal returns, while the impact on other sectors like banking, oil and gas, and capital goods was not significant.

13.
J Ayurveda Integr Med ; 13(2): 100559, 2022.
Article in English | MEDLINE | ID: covidwho-1873110

ABSTRACT

Objectives: This study was conducted to evaluate the efficacy and safety of Cap. Torchnil & Tab. Febcin when given as add-on therapy to Covid19 positive patients with moderate disease. Material and methods: Following written informed consent, patients were randomized to receive Cap. Torchnil & Tab. Febcin in addition to standard of care (SOC) [Add-on Group] or only SOC [SOC Group] for 14 days. Effect on clinical symptoms, WHO Clinical Assessment scale, hospital stay duration, time to Covid negative report, Sp02 levels and biomarkers was assessed during admission and relapse rate, if any, post discharge for 3 months. Results: 193 patients were screened and 150 completed the study, 77 in Add-on Group and 73 in SOC Group. Improvement in Covid related symptoms, WHO Assessment scale, time to covid negative report and duration of hospital stay was observed earlier in Add-on Group. Statistically significant fall in biomarker levels viz. CPK, D-dimer and IL-6 values at Day 14 and LDH levels at Days 7 & 14 was observed in Add-on Group. Improvement in Sp02 levels was also seen earlier in Add-on Group. Only 2 patients complained of acidity. Post discharge, 91 patients (49 from Add-on group and 42 from SOC group) came for physical visits. All these patients were clinically stable with no evidence of relapse. Conclusion: The study results thus showed that Cap. Torchnil and Tab. Febcin were effective and safe when given as add-on therapy to SOC in the clinical management of patients with moderate Covid-19 disease.

14.
Journal of Environmental Law ; : 22, 2022.
Article in English | Web of Science | ID: covidwho-1853112

ABSTRACT

'Green recovery' is one of the key themes of the stimulus packages implemented around the world in response to the Covid-19-related economic downturn. Recent research points to the potential role of regulation that becomes less stringent during recessions (ie countercyclical regulation) as an instrument to stimulate a quicker recovery. When this argument is put in the context of a green recovery, two key questions arise: should we implement countercyclical environmental regulation? If yes, what environmental instruments are better suited to stimulate the economy in periods of economic downturn? This article addresses these questions by discussing the risks of countercyclical environmental regulation and comparing the countercyclical effects of two critical environmental instruments: carbon taxes and cap-and-trade. The article argues that policymakers should be cautious in implementing countercyclical environmental regulation because the benefits of this practice are uncertain and it entails various risks. The article also challenges the belief common among academics and policymakers that cap-and-trade is inherently more countercyclical than carbon taxes by showing that whether this is true depends on the design of these instruments and other contingent factors.

15.
Sustainability ; 14(9):5503, 2022.
Article in English | ProQuest Central | ID: covidwho-1842769

ABSTRACT

Fossil fuels store primary carbon. When they are combusted, CO2 is released into the atmosphere. The accumulation of CO2 in the atmosphere causes the anthropogenic greenhouse gas effect, which has led to the existing climate crisis. Academic literature, international climate deliberations and most domestic climate mitigation plans have so far focused primarily on reducing emissions (output orientation) and have paid little attention to supply-side climate policies. Thus, this study shows that output-oriented literature is heavily overweighted with over 7000 publications compared to input-oriented literature with just 107 publications (equivalent to 1.5% percent). The overall scope of this review article was therefore to identify the gaps of output-oriented mechanisms such as the European Union Emissions Trading Scheme (EU ETS), and to point out how an Input-Oriented Cap and Trade (IOCT) system might overcome those gaps. IOCT refers to limits to the carbon input into the global fossil fuel trading system instead of limiting only the emissions caused by already burned fuel. For this purpose, a global cap on the extraction of coal, gas and oil must firstly be defined. Accordingly, IOCT provides for the allocation of allowances for the extraction, processing and trading of carbon-based products. IOCT is a source-oriented approach that refers to a joint allocation of the resource consumption responsibility to the fossil fuel producer and consumer as well. This review represents a unique, comprehensive and current collection of supply-side literature that can be used as a starting point for further applied research on this topic.

16.
The Journal of Prediction Markets ; 15(3), 2021.
Article in English | ProQuest Central | ID: covidwho-1835549

ABSTRACT

We investigate the holiday effect in US equity futures markets during three sub-periods 1993-2011, 1993-2020, and during the 2020 covid-19 year for small cap stocks measured by the Russell2000 and large cap stocks measured by the S&P500. All the days from -3 before the holiday to -1 had gains and for the large caps there were gains on +1 and +2. The effect is stronger for the small caps. The year 2020 had results similar to the longer series with positive gains. We show the various holidays by holiday day and observe that the -3 day had gains on all the holidays whereas the other days did not. The effect has diminished in the 1990s and 2000s and only the -3 day is statistically significant. The -3 day in the futures anticipates the cash move on -1 day.

17.
Computer Journal ; : 10, 2022.
Article in English | Web of Science | ID: covidwho-1821728

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has been a globally dangerous crisis that causes an increasingly high death rate. Applying machine learning to the computed-tomography (CT)-based COVID-19 diagnosis is essential and attracts the attention of the research community. This paper introduces an approach for simultaneously identifying COVID-19 disease and segmenting its manifestations on lung images. The proposed method is an asymmetric U-Net-like model improved with skip connections. The experiment was conducted on a light-weighted feature extractor called CRNet with a feature enhancement technique called atrous spatial pyramid pooling. Classifying between COVID-19 and non-COVID-19 cases recorded the highest mean scores of 97.1, 94.4, and 97.0% for accuracy, dice similarity coefficient (DSC) and F1 score, respectively. Alternatively, the respective highest mean scores of the classification between COVID-19 and community-acquired pneumonia were 99.89, 99.79, and 99.97%. The lesion segmentation performance was with the highest mean of 99.6 and 84.7% for, respectively, accuracy and DSC.

18.
Mol Cell Toxicol ; 18(1): 1-8, 2022.
Article in English | MEDLINE | ID: covidwho-1800291

ABSTRACT

BACKGROUND: mRNA vaccines hold great potential as therapeutic techniques against viral infections due to their efficacy, safety, and large-scale production. mRNA vaccines offer flexibility in development as any protein can be produced from mRNA without altering the production or application process. OBJECTIVE: This review highlights the iterative optimization of mRNA vaccine structural elements that impact the type, specificity, and intensity of immune responses leading to higher translational potency and intracellular stability. RESULTS: Modifying the mRNA structural elements particularly the 5' cap, 5'-and 3'-untranslated regions (UTRs), the coding region, and polyadenylation tail help reduce the excessive mRNA immunogenicity and consistently improve its intracellular stability and translational efficiency. CONCLUSION: Further studies regarding mRNA-structural elements and their optimization are needed to create new opportunities for engineering mRNA vaccines.

19.
Chem Rec ; 22(8): e202200005, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1787712

ABSTRACT

The recent FDA approval of the mRNA vaccine for severe acute respiratory syndrome coronavirus (SARS-CoV-2) emphasizes the importance of mRNA as a powerful tool for therapeutic applications. The chemically modified mRNA cap analogs contain a unique cap structure, m7 G[5']ppp[5']N (where N=G, A, C or U), present at the 5'-end of many eukaryotic cellular and viral RNAs and several non-coding RNAs. The chemical modifications on cap analog influence orientation's nature, translational efficiency, nuclear stability, and binding affinity. The recent invention of a trinucleotide cap analog provides groundbreaking research in the area of mRNA analogs. Notably, trinucleotide cap analogs outweigh dinucleotide cap analogs in terms of capping efficiency and translational properties. This review focuses on the recent development in the synthesis of various dinucleotide cap analogs such as dinucleotide containing a triazole moiety, phosphorothiolate cap, biotinylated cap, cap analog containing N1 modification, cap analog containing N2 modification, dinucleotide containing fluorescence probe and TAT, bacterial caps, and trinucleotide cap analogs. In addition, the biological applications of these novel cap analogs are delineated.


Subject(s)
COVID-19 , Vaccines , COVID-19/prevention & control , Humans , RNA Cap Analogs/chemistry , RNA Cap Analogs/metabolism , RNA, Messenger/chemistry , SARS-CoV-2 , Vaccines, Synthetic , mRNA Vaccines
20.
Turkish Journal of Computer and Mathematics Education ; 12(11):5697-5706, 2021.
Article in English | ProQuest Central | ID: covidwho-1782031

ABSTRACT

This study examines the impact of working capital management on firm performance, particular in Food and Beverage Industry in Vietnam from 2012 to 2019. The research mainly used secondary data from financial statements of 30 listed companies in the Industry. The result of this study shows that working capital management plays an important to role on firm performance. Each components of working capital would affect differently in firms' business performance.

SELECTION OF CITATIONS
SEARCH DETAIL