Browse
Submit Data
Databases
API
Help

Dataset Information

16 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Innovation as recovery strategy for SMEs in emerging economies during the COVID-19 pandemic.

ABSTRACT: The quarantine and disruption of non-essential activities as measure to contain the COVID-19 pandemic has negatively affected all economies around the World. This has had a deeper impact on small and medium enterprises (SMEs) in emerging economies because they have very limited resources and vulnerable supply chain and business-to-business/business-to-clients relationships. In this context, it is expected that after the pandemic many of these enterprises will disappear as the "new normality" will require changes in business and infrastructure management. To reduce this risk, innovation is identified as a key aspect of business recovery in the ongoing and post-COVID-19 pandemic period. This work presents a multidisciplinary methodological approach to guide these enterprises to innovate their products for new markets and making a better use of their limited available resources. As an example of this approach, the research-supported development of a new product for a family-owned SME was performed in a zone with high COVID-19 risk. The results provide insight regarding innovation as a survival tool for SMEs during and after the COVID-19 contingency, and the use of digital resources is identified as the main facilitator for networking and research-based design of innovative products within the "social distance" context.

SUBMITTER: Caballero-Morales SO

PROVIDER: S-EPMC7857984 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Temporary business model innovation – SMEs’ innovation response to the Covid‐19 crisis

Project description:The Covid‐19 crisis has hit SMEs particularly hard. Numerous business models (BM) have been limited or rendered downright impossible due to decreased social contact. SMEs can respond to this exogenous crisis via temporary business model innovation (BMI). This empirical study investigates these temporary BMs using a multiple case study approach based on five SMEs in Austria, Germany, and Liechtenstein who within a short period of time applied their core competencies and networks to integrate new BMs, which were in some cases very different from existing ones. These had a positive effect on strategic flexibility, and if desired can also be incorporated into the firm long‐term. The paper contributes to SME crisis management during the Covid‐19 pandemic by pointing out and developing a successful management mechanism that allows to survive a crisis or even improve during this time. Moreover, we contribute to BMI literature by explaining temporary BMI as a new form of BMI. It also makes clear to managers that temporary BMs add value to firms and create new revenue streams.

| S-EPMC8662028 | biostudies-literature

COVID-19 pandemic and stock market performance: A comparative study of emerging economies.

Project description:The paper investigates the co-movement of COVID-19 pandemic and performance of stock markets of four emerging economies. The Quantile-on-Quantile regression model was applied to daily share prices of stock markets from March 13, 2020 to November 30, 2021 in these economies. The results indicate varied relationships across various quantiles of COVID-19 cases and share prices. Whilst both positive and negative relationships are established at different quantiles of share prices for Brazil and Kenya, negative co-movements are recorded for India and South Africa for all quantiles of share prices. The varying dependence between COVID-19 and stock markets provide critical insights to policy makers.

| S-EPMC10166614 | biostudies-literature

Assessing the challenges to medical waste management during the COVID-19 pandemic: Implications for the environmental sustainability in the emerging economies.

Project description:Emerging economies are struggling with proper and efficient management of waste due to their constrained resources and weak management. In recent days, this crisis has worsened due to the outbreak of the highly contagious COVID-19 pandemic. To avoid building up stockpiles and contaminating communities with potentially contagious medical waste (MW), and to ensure sustainability in the current and post-COVID-19 era, it is a dire need to develop and implement a safe and efficient medical waste management (MWM) system. This research, thereby, aims to identify, assess, and prioritize the key challenges to efficient and sustainable MWM to mitigate the impacts of the disruptions caused by situations like the pandemic in emerging economies. An integrated approach consisting of the Best-Worst Method (BWM), Interpretive Structural Modeling (ISM), and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) has been proposed to achieve the objectives. Based on the literature review and expert feedback, a total of seventeen challenges were identified and later prioritized by using BWM. The top twelve challenges have been further analyzed using ISM-MICMAC to examine their interrelationships. This study reveals that lack of proper law enforcement and insufficient financial support from investors and the government are two crucial challenges for efficient MWM implementation. The research insights can assist healthcare facility administrators, practitioners, and city managers in identifying the associated challenges and shaping strategic decisions for establishing and managing efficient MWM systems to ensure sustainable development in the post-COVID-19 era.

| S-EPMC9846901 | biostudies-literature

Physical activity and mental health during the COVID-19 pandemic among individuals with amputation

Project description: Not available

| S-BSST1055 | biostudies-other

Operations Management teaching practices and information technologies adoption in emerging economies during COVID-19 outbreak

Project description:The objective of this article is three-fold. First, it aims at identifying the main teaching practices and information and communication technologies (ICTs) used to teach Operations Management (OM) in emerging economies during COVID-19 outbreak. Second, it investigates the effect of contextual characteristics on the adoption level of those teaching practices and ICTs. Third, this study examines the relationship between the adoption of ICTs and OM teaching practices during COVID-19 outbreak. Expectedly, schools around the world have pivoted to online learning and digital classrooms. Thus, OM lecturers and professors located in emerging economies that have been teaching during COVID-19 outbreak were surveyed. The collected data was analyzed through multivariate techniques. Findings indicate that lecturers and professors have been remarkably adopting specific teaching practices and ICTs to teach OM. Nevertheless, when considering the contextual characteristics of the universities, departments, and lecturers/professors, the adoption level of those practices and ICTs may significantly vary, especially depending on subject type and teaching experience. Moreover, we empirically verified that ICTs positively relate with OM teaching practices in emerging economies, although in a much less extent than expected. This research provides OM instructors guidelines to better plan their courses and subjects in face of extreme disruptive moments, such as the one caused by the COVID-19. Understanding how the concurrent utilization of ICTs and teaching practices helps OM programs to continue developing their activities is particularly important for universities located in emerging economies, since they are more likely to struggle with resources scarcity and more financially humble students.

| S-EPMC9482679 | biostudies-literature

Delayed Colorectal Cancer Care During Coronavirus Disease (COVID-19) Pandemic (DECOR-19)

Project description:To understand and analyse the global impact of COVID-19 on outpatient services, inpatient care, elective surgery, and perioperative colorectal cancer care, a DElayed COloRectal cancer surgery (DECOR-19) survey was conducted in collaboration with numerous international colorectal societies with the objective of obtaining several learning points from the impact of the COVID-19 outbreak on our colorectal cancer patients which will assist us in the ongoing management of our colorectal cancer patients and to provide us safe oncological pathways for future outbreaks.

| 2346925 | ecrin-mdr-crc

Monkeypox: An emerging global threat during the COVID-19 pandemic.

Project description:The emergence of the monkeypox outbreak in early 2022 has posed a new global health threat. As of July 8, 2022, 9069 laboratory-confirmed cases have been reported, and most of them are from non-endemic countries. The monkeypox virus is an enveloped double-stranded DNA virus, and preliminary genetic data suggest that the 2022 monkeypox virus belongs to the West African clade. In the current outbreak, human-to-human transmission has been the primary transmission mode. Although direct skin-to-skin contact with lesions during sexual activities can spread the virus, it remains unclear whether monkeypox can spread through sexual contact, specifically through contaminated body fluids. The typical presentation of monkeypox includes prodromal symptoms, followed by a rash that usually begins within 1-3 days of symptom onset, and the skin lesions can last for 2-4 weeks and then gradually resolve. However, the monkeypox outbreak in 2022 may exhibit atypical features. A definite diagnosis of monkeypox virus infection requires nucleic acid amplification testing via the polymerase chain reaction method. Supportive care is essential, and antiviral therapy is not considered for all affected patients, but recommended for those at highrisk for severe diseases. The mitigation of monkeypox outbreaks include enhanced case detection, case isolation, contact tracing, and post-exposure vaccination. In conclusion, the current monkeypox outbreak is a new threat during the COVID-19 pandemic. Clinicians should be aware of this new situation, which presents a different scenario from those of prior outbreaks. Global health systems should develop effective strategies to mitigate the spread of monkeypox.

| S-EPMC9352646 | biostudies-literature

Entrepreneurial mindfulness and organizational resilience of Chinese SMEs during the COVID-19 pandemic: The role of entrepreneurial resilience

Project description:Organizational resilience is vital to the survival and thriving of enterprises, especially during the COVID-19 pandemic. Although there has been an increasing interest in organizational resilience, the effects from the entrepreneur perspective receive scant attention. Based on upper echelons theory (UET) and personality psychology, we propose a model in which entrepreneurial mindfulness and entrepreneurial resilience could influence organizational resilience of SMEs. We empirically analyzed a sample of 180 entrepreneurs managing small- and medium-sized enterprises (SMEs) in China during the COVID-19 pandemic, using SmartPLS software. The research findings indicated that entrepreneurial mindfulness is positively associated with organizational resilience and such relationship is partially mediated by entrepreneurial resilience. These findings convey important theoretical implications in this field of research as well as practical implications for SMEs in China or other countries with similar nature.

| S-EPMC9583948 | biostudies-literature

Managing Colorectal Cancer Prevention Procedure Wait Lists During the COVID-19 Pandemic

Project description:The main objective of this study is to offer and evaluate an interim triage approach for patients waiting for surveillance colonoscopies. This will reduce the waiting period and the psychological stressors for our patients and from a scientific point of view allow us to compare the yield of findings for each approach.

| 2383510 | ecrin-mdr-crc

Optimal diagnostic test allocation strategy during the COVID-19 pandemic and beyond.

Project description:Timely diagnostic testing for active SARS-CoV-2 viral infections is key to controlling the spread of the virus and preventing severe disease. A central public health challenge is defining test allocation strategies with limited resources. In this paper, we provide a mathematical framework for defining an optimal strategy for allocating viral diagnostic tests. The framework accounts for imperfect test results, selective testing in certain high-risk patient populations, practical constraints in terms of budget and/or total number of available tests, and the purpose of testing. Our method is not only useful for detecting infections, but can also be used for long-time surveillance to detect new outbreaks. In our proposed approach, tests can be allocated across population strata defined by symptom severity and other patient characteristics, allowing the test allocation plan to prioritize higher risk patient populations. We illustrate our framework using historical data from the initial wave of the COVID-19 outbreak in New York City. We extend our proposed method to address the challenge of allocating two different types of diagnostic tests with different costs and accuracy, for example, the RT-PCR and the rapid antigen test (RAT), under budget constraints. We show how this latter framework can be useful to reopening of college campuses where university administrators are challenged with finite resources for community surveillance. We provide a R Shiny web application allowing users to explore test allocation strategies across a variety of pandemic scenarios. This work can serve as a useful tool for guiding public health decision-making at a community level and adapting testing plans to different stages of an epidemic. The conceptual framework has broader relevance beyond the current COVID-19 pandemic.

| S-EPMC8661762 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data