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This study examines the survival probability of the firms during the COVID-19 pandemic and identifies the effects of pandemic-era business strategies on firm survival across sectors and sizes.

This study combines World Bank Enterprise Survey data with three consecutive follow-up COVID-19 survey data. The COVID-19 surveys are the follow-up surveys of WBES, and they are done at different points of time during the pandemic. Both WBES and COVID-19 surveys follow the same sampling methods, and the data are merged based on the unique id number of the firms. The data covers 12,551 firms from 21 countries in different regions such as Africa, Latin America, Central Asia and the Middle East. The study applies Kaplan–Meier estimate to analyze the survival probability of the firms across sectors and sizes. The study then uses Cox non-parametric regression model to identify the effect of business strategies on the survival of the firms during the pandemic. The robustness of the Cox model is checked using the multilevel parametric regression model.

The study's findings suggest that a firm's survival probability decreases during the pandemic era. Manufacturing firms have a higher survival probability than service firms, whereas SMEs have a higher survival probability than large firms. During the pandemic period, business strategies significantly boost the probability of firm survival, and their impacts differ among firm sectors and sizes. Several firm-specific factors affect firm survival in different magnitudes and signs. Except in a few cases, the findings also indicate that one strategy positively moderates the influence of another strategy on firm survival during a pandemic.

COVID-19 pandemic has drastically affected the business across the globe. Firms adopted new business processes and strategies to face the challenges created by the pandemic. The critical research question is whether these pandemic-era business strategies ensure firms' survival. This study attempts to identify the effects of these business strategies on firms' survival, focusing on a comprehensive firm-level data set that includes firms from different sectors and sizes of countries from various regions.

Global crises create an environment that is characterized by a fight for survival by countries, companies and citizens. While firms have adopted business initiatives to ensure survival in a global crisis, many measures are geared toward preventing customer churn, declining revenues and eroding market share. Such short-term focus raises an important question regarding long-term survival – how can firms survive a global crisis? The purpose of this study is to investigate how firms can survive a global crisis.

This study considers pandemics as the study context and uses a triangulation methodology (past research, managerial insights and popular press articles) to advance the organizing framework. Using the process study approach, the proposed framework recognizes the onset characteristics of a global crisis with a focus on pandemics and the government actions that reflect the pandemic onset. The framework also identifies a logical order of three marketplace reactions to the pandemic – management response, consumer response and critical business transformations that ultimately lead to firm survival – and advances related research propositions of such reactions.

By deploying critical business transformations, firms can ensure firm survival in a pandemic by fostering engagement with customers, employees and resources. Additionally, the moderators that influence the relationships between (1) management response and critical business transformations, (2) consumer response and critical business transformations, and (3) critical business transformations and firm survival are identified. Finally, this study presents an agenda for future research.

To the authors' best knowledge, this is the first study to adopt an interdisciplinary approach to study firm survival in a global crisis such as a pandemic. This study answers the call for more research to the growing field of pandemic research in the areas of marketing research and marketing strategy.

The learnings from this study can help firms on what to anticipate and how to respond in a crisis such as a pandemic.

Societal welfare is accounted for as firms plan to deal with a crisis.

This is the first study to propose a strategic framework to deal with a crisis that is largely unanticipated where the duration and the impact is not predictable.

The purpose of this paper is to test the interaction effect of government support in the relationship between business skills, capital adequacy, access to finance, access to market, entrepreneurial education, and small, medium, and micro enterprises (SMMEs) survival in post-war communities in Northern Uganda.

Cross-sectional research design was used in the study and quantitative data were collected from 304 SMMEs located in Gulu District using a semi-structured questionnaire. Structural equation modeling (SEM) through the use of analysis of moment structures was adopted to establish the interaction effect of government support in the relationship between business skills, capital adequacy, access to finance, access to market, entrepreneurial education, and SMMEs survival in post-war communities in Northern Uganda. Furthermore, Pearson’s correlation analysis was used to show the association between the variables under study.

The results revealed that there is a significant interaction effect of government support in the relationship between business skills, capital adequacy, access to finance, access to market, entrepreneurial education, and SMMEs survival in post-war communities in Northern Uganda. Besides, the results indicated that business skills, capital adequacy, access to finance, access to market, entrepreneurial education, and government support have significant and positive impacts on SMMEs survival in post-war communities in Northern Uganda.

The study employed cross-sectional research design, thus, ignoring longitudinal study approach. Besides, the sample was selected from only Gulu District, therefore, leaving out other Districts located in Northern Uganda.

Advocates of recovery programs and interventions in developing countries should consider government support as a vital factor in promoting business skill, capital adequacy, access to finance, access to market, and entrepreneurial education in order to enhance SMMEs growth in post-war communities. In addition, governments in developing countries should offer investment incentives and tax waivers to infant SMMEs in post-war communities like in Northern Uganda.

The study examined the interaction effect of government support in the relationship between business skills, capital adequacy, access to finance, access to market, entrepreneurial education, and SMMEs survival in post-war communities in developing countries. Thus, to the best of the authors’ knowledge, this is the first attempt to test the interaction effect of government support in the relationship between business skills, capital adequacy, access to finance, access to market, entrepreneurial education, and SMMEs survival in post-war communities in Northern Uganda. The use of government support as a moderator in the relationship between business skills, capital adequacy, access to finance, access to market, entrepreneurial education, and SMMEs survival is scarce in entrepreneurship literature and theory. This creates uniqueness in this study.

In the era of the retail Apocalypse, the surge of e-commerce has transmuted the competitive landscape for many traditional retailers that heavily rely on brick-and-mortar stores. This study examines the relationship among retail quality, market environment and businesses' survival in the context of the sporting goods retail industry.

Based on a data set from yelp.com, the authors examine the survival of 1,360 stores within 306 zip codes in the United States using mixed effects logistic modeling.

(1) Retail quality is positively related to survival, but the relationship is nonlinear; (2) the author find a null relationship between market competition and survival, which is subject to several competing interpretations; (3) 10% of the individual variation in survival is due to systematic differences between zip codes and (4) chain stores and stores with more heterogenous reviews have a higher closure rate.

This study contributes to the literature by offering an empirical testing of the relationship between retail quality and business survival and examining the impact of trading area in the modern marketing milieu. The findings have practical implications for site selection and designing a service quality program.

The global economic crisis triggered by the coronavirus disease 2019 (COVID-19) has caused the closure of countless ethnic minority businesses (EMBs) worldwide, partly due to the public policy responses. This paper investigates whether EMBs’ entrepreneurial orientation (EO) mediates the impact of public policy responses to COVID-19 on their survival.

Utilizing institutional theory, the authors developed a novel conceptual framework that divides policy responses to COVID-19 into aggressive (imposing restrictions on movement, e.g. lockdowns) and less aggressive policy responses (not imposing restrictions on movement, e.g. social distancing). The authors then surveyed intra-regional EMBs, specifically businesses owned by ethnic minorities in the Kano and Katsina provinces of Nigeria, and analysed the data using structural equation modelling and analysis of variance (ANOVA).

The authors found that intra-regional EMBs in developing countries are very vulnerable to the public policy responses imposed by governments to curb COVID-19. Aggressive policy responses have a more significant negative effect on the survival of intra-regional EMBs than their less aggressive counterparts. Furthermore, the authors found that EO as a crisis response strategy significantly supports intra-regional EMBs in managing their vulnerability to the hostile institutional environment, reduces the adverse effect of public policy responses and stimulates their survival during the COVID-19 pandemic.

This paper contributes to the institutional theory of small and medium-sized enterprises (SMEs)/entrepreneurship and the literature on EMBs by showing the role of EO in mediating the effects of COVID-19 institutional policies on the survival of intra-regional EMBs.

As a global pandemic, the COVID-19 crisis has profoundly affected the development of local firms, threatening the survival of small and medium enterprises (SMEs). This study aims to present an integrated framework by investigating the impact of strategic tools (i.e. firms’ capability of business agility, marketing operational efficiency, optimisation of innovation capability [OIC], managing employees’ satisfaction and rethinking customers’ experience) on the survival strategies of SMEs amidst the COVID-19 pandemic.

The current study used data from managers of SMEs and conducted an asymmetrical analysis (i.e. structural equation modelling [SEM]) to investigate the factors influencing the survival strategies of SMEs amidst the COVID-19 pandemic. This study also applied an asymmetrical approach (i.e. fuzzy sets qualitative comparative analysis-fsQCA) to explore the causal recipes and analysis of the necessary conditions to identify the factors required to achieve the expected outcome.

Results from SEM support all hypotheses. Results from fsQCA with the same data set show that firms’ business agility and OIC are necessary conditions for SMEs’ survival strategies. The result from fsQCA also reveals multiple sufficient conditions to succeed SMEs’ survival strategies amidst the COVID-19 pandemic.

Findings prescribe how SMEs adapt to this vulnerable business condition by applying the strategic tools and recipes suggested for survival.

This research applied an innovative analysis to reveal necessary and sufficient conditions that conventional methods such as SEM have limited power. This pioneering research in the context of the COVID-19 pandemic is considered novel in terms of the prescriptive strategic recipes offered to SMEs to adapt to and survive in the crisis caused by COVID-19.

Bike-sharing is popular worldwide, and it has led to a new development direction in green transportation. However, the collapse of many bike-sharing startups and residual social problems has brought about contradictions and challenges to the development of the industry. The purpose of this paper is to determine how internal factors affect the survival of bike-sharing startups.

The authors used binary logit regression as the measurement model to conduct an empirical analysis based on 137 bike-sharing startups in China. The study focuses on using traditional theoretical evidence and considers the uniqueness of the industry to jointly explore the survival factors that influence the emerging business model of bike-sharing.

The results show that entrepreneurial team size and differentiation strategy positively influence survival. Founder-CEOs have a negative impact on survival. Founders' entrepreneurial experience and venture capital have no significant influence on survival.

The results verify the role of traditional survival factors in the new business model of sharing economy and fill the research gap on the survival strategy of startups. This study offers a unique perspective for researchers to better understand the sharing economy industry and provides practical guidance for entrepreneurs and investors to enter the market.

Micro, small and medium-sized enterprises are the live wire of construction industry in developing countries. These classes of establishments are most affected by economic contraction and turmoil, thus affecting their performance and survivability. Hence, the purpose of this study is to investigate and prioritize the survival determinants of construction consulting organization during economic contraction in Nigeria using quantity surveying firms as a focal point.

The study adopted the descriptive-survey design and quantitative data were collected through questionnaire purposely administered to quantity surveying firms in the Southwestern part of Nigeria. The data obtained from 99 quantity surveying firms on survival determinants were analysed using various statistical analysis such as mean score, standard deviation, Mann–Whitney U test, Kruskal–Wallis H test, and so on. Principal component analysis was used to identify the principal components of survival determinants, while the factors were prioritized using fuzzy synthetic evaluation (FSE).

The result of the analysis reveals eight factors that significantly determines the survival of firms during the period of economic contraction. Furthermore, the eight grouped factors were prioritized accordingly namely firm's innovation and diversification, ownership structure and networking, education level and management skills, and so on.

This study investigated the survival determinants of quantity surveying firms and prioritized it with the opinions of principal partners in quantity surveying establishments. As against obtaining large survey responses from all quantity surveyors in the study area that may not have practical experience of managing firms, the limited responses received provide valid basis to broaden the horizon of professionals and other stakeholders on the key determinants for firms to survive economic turmoil.

This study contributes to the body of knowledge by providing information on prioritized factors that must be considered in an appropriate order by quantity surveying firms to survive economic contraction.

This study aims to analyse organisational capabilities among new technology-based firms (NTBFs) and examine how these capabilities are linked to the firms’ long-term survival.

The study leverages a data set of 131 NTBFs located at 16 incubators in Sweden. The first part of the analysis seeks suitable organisational capabilities as determinants of firm survival. The second part is a statistical analysis. The organisational capabilities comprise six variables concerning business experience, financing and international markets.

The study comprises two data collections, with the first data collection being conducted in 2005, and the second in 2014. The survival rate for these firms was 55 per cent according to their respective annual reports in 2013. First, this study showed that the logistic regression model that included the three organisational capabilities is significant. Second, one variable is significant at the variable level: business experience. In addition, the control variable firm size is also significant.

Further empirical research in this area is required as the current research on organisational capabilities is quite limited and mainly conceptual in nature. Very few related studies focus on NTBFs and their survival. This study demonstrates a significant logistic regression model to determine links between organisational capabilities and firm survival.

The purpose of this paper is to analyse the determinants of the survival of Spanish companies.

Two approaches are used and they are complementary. The first approach analyses the determinants of survival probability. For this purpose, a binary choice model is built and estimated using a sample of companies from the main economic sectors taken from the SABI database. Likewise, the Blinder–Oaxaca decomposition is applied to quantify the difference between companies with employees and without employees and the proportion of this difference that owes to observed factors or unobserved factors. Finally, the second approach is a survival analysis carried out through the Cox proportional hazard model that identifies the determinants of the duration of business activity.

The results of the empirical analysis show that companies without employees present less favourable conditions for survival at all stages of their evolution than companies with employees.

The contribution of this study to the empirical literature consists in analysing the difference between companies with and without employees. Due to the structure of Spanish companies, this aspect and the determinants of such difference are essential for policymakers to increase the survival for companies.