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PurposeLooking back on the last 12 years, the whole planet went through two major economic crises (2008 and 2019), which both had a profound impact on the survival of businesses. The present study aims to develop and empirically test a conceptual framework that investigates the factors that have an influence on firm survival. More specifically, the study proposes a three-dimensional framework that includes performance drivers (utilizing resource-based view [RBV] factors), performance measures and the measurement of firm survival. Such a multi-dimensional approach has very rarely been explored in the existing literature.Design/methodology/approachA thorough literature review revealed gaps in the literature and offered the basis for developing the proposed conceptual framework of the study. Its empirical examination (hypothesis testing) was conducted with the use of a newly developed structured questionnaire that was distributed to a group of Greek manufacturing organizations (the final sample consists of 364 manufacturing companies). Empirical data were analyzed using the “structural equation modeling” (SEM) technique (multivariate analysis) and other similar techniques (i.e. exploratory factor analysis and analysis of variance). The study is empirical (based on primary data), explanatory (examines cause and effect relationships), deductive (tests research hypotheses) and quantitative (includes the analysis of quantitative data collected with the use of a structured questionnaire).FindingsOn the one hand, empirical results point out that “manufacturing-marketing alignment,” “manufacturing capabilities,” “structural configuration” and “business performance under crisis” have the most significant impact and on short-term survival (current situation). On the other hand, “competitive advantage” and “business performance under crisis” have the most significant impact on long-term survival (future situation). Focusing on RBV factors, only “structural configuration” and “manufacturing capabilities” directly affect short-term survival, while “manufacturing–marketing alignment” has an indirect effect on the same factor. Then again, all RBV factors indirectly affect long-term survival. Also, it is confirmed that short-term survival strongly affects long-term survival.Originality/valueThe present study contributes to the debate concerning the antecedents of firm survival, since current empirical findings are quite inconsistent. Specifically, crucial performance drivers and other measures are incorporated into an original model, which reveals their synergies and their impact on the dynamic dimensions of firm survival. Additionally, it enhances the stream of research that investigates firm survival under crisis since very few similar empirical studies have been conducted. Finally, firm survival is not measured as a static concept but rather as a dynamic one (firm survival – current situation and firm survival – future situation). Overall, the final model can explain 35.2% of the variance in “firm survival – current situation” and 46.3% of the variance in “firm survival – future situation.” |
