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This study aims to compare the outcome of support extended by the family and kin for new firms. The authors specially consider business performance, challenges, demography and personality traits of entrepreneurs.

A structured questionnaire was used to collect responses on the socio-demography aspects of the entrepreneur, family, kin, business performance, personality traits and perceived challenges were collected from 350 young entrepreneurs of South Wollo province of Ethiopia. The ANOVA test for continuous variables and the Krukal–Walis test for nominal variables were conducted to find differences across eight groups with family and kin, their occupation (business/non-business) and extended support (yes/no).

Only 40% of entrepreneurs reported support, non-business families support entrepreneurial effort more compared to business families. Support is associated with perceived business performance and sociocultural challenges, but not with revenue. Entrepreneurs with less age, education and prior experience received more support compared to others. Entrepreneurs with higher need-for-achievement traits reported less support. Interestingly, entrepreneurs from business backgrounds are likely to perform better, with or without support.

The extension of support to entrepreneurship depends on socioeconomic, demography, or personality-related factors and their interactions. The study did not investigate support from peers, an extended network, or the nature of support.

Family and kin support influences entrepreneurial persistence, overcoming the sociocultural challenges and arresting quit intention among entrepreneurs at the initial stages of a venture.

The influence of immediate family or a network represents extremes, overlooking the role of kin. This study fills this gap and extends understanding of the role of kin in the context of Ethiopian young entrepreneurs.

Resilient firms are more likely to survive crisis. This paper aims to investigate the resilient behavior displayed by small and medium enterprise (SME) owners in the pandemic context and the sequence of antecedents leading to resilient behavior.

Seven SME owners, from different business sectors, were interviewed twice in 8 months, to assess their actions and underlying entrepreneurial resilience. A model was developed depicting the sequence of activities leading to entrepreneurial resiliency behavior. The study was conducted in the capital city of Odisha, an eastern Indian state.

The results indicate that entrepreneurial resiliency is manifested in various forms where the SME owners engage in bricolage. Resiliency has an inevitable time dimension, where SME owners estimate the period for which adversity is likely to persist. They focus on alternative action to demonstrate resiliency. It was also learnt that revenue management during a crisis requires entrepreneurial marketing with innovativeness, opportunity seeking and value creation to improve resiliency.

This research is important for policymakers who can strengthen resiliency through the support and provision of adequate information to SME owners. Educators can use the model for discussion and pedagogy. Finally, SME owners can evaluate their response behaviors to a crisis and draw insights.

The approach of the study was longitudinal and qualitative. This study contributes to the literature gap on resiliency in the context of emerging markets and SMEs.

Data, either in primary or secondary form, represent the core strength of quantitative research. However, there is significant difference between collected data and the final researchable data. The data collection is driven by objectives of the research. The data also could be in various formats at different sources. The collected data in its original form may contain systematic and random errors. Such errors need to be cleaned from the data which is termed as data cleaning process.

The present chapter discusses about the different methodologies and steps that may be helpful for fine tuning the data into researchable format. The discussions are instantiated with the applications of methodologies on a set of financial data of companies listed in Bombay Stock Exchange. Various steps involved in transformation of collected data to researchable data are presented. A schematic model including data collection, data cleaning, working with variables, outlier treatment, testing the assumption of statistical test, normality, and heteroscedasticity is presented for the benefit of research scholars. Beyond this generic model, this paper focuses exclusively on financial data of listed companies in the Bombay Stock Exchange. The challenges involved in various sources, data gathering and other pre-analysis stages are also considered. This is also applicable for research based on secondary data sources in other fields as well.

The introductory paper begins with the issue about the relevance of research in management. It emphasizes the need for scholars to adopt methodologies best suited to the research problem of their choice. This paper contains sections on the nature of management research, dominant research paradigms, the methodological domain, quantitative versus qualitative research, and triangulation in using multiple methodologies. The paper provides a background to the purpose of the book and summarizes in brief the purpose of each the subsequent papers.