Lean Entrepreneurship and SME Practice in a Post COVID-19 Pandemic Era: A Conceptual Discourse from Nigeria

Unravelling trends, patterns and intellectual structure of research on bankruptcy in SMEs: A bibliometric assessment and visualisation

Despite the burgeoning interest among academics in investigating the factors contributing to the high business failure rate among SMEs (small and medium-sized enterprises), the systematic synthesis of the literature on bankruptcy in SMEs is restricted. This article aims to significantly advance the understanding of the causes and repercussions of bankruptcy in SMEs and the preventative actions that may be taken to avoid it. This review assesses 282 articles from 175 outlets employing quantitative and statistics-based bibliometric tools. This bibliometric assessment helped delineate the citation and publication trends and the top contributors to the domain. The underlying thematic clusters of research on bankruptcy in SMEs were also identified, deciphered and elaborated, along with charting the future research vistas through the lens of theory, context, and methods framework. The authors believe this bibliometric variant of systematic literature review makes a significant contribution to bankruptcy and SME research by highlighting the development of the literature and some of the most active research fronts in the domain by offering insights that were not clasped thoroughly or assessed by prior literature assessments.

National debt management and business sustainability in Africa's largest economy: A focus on the private sector

In many developing economies, high and increasing public debt profile constitutes an essential means of financial risk. An appropriate debt management is germane for survival of business and good international reputation though its effect on private sector credit mobilization had been seldomly investigated. This study seeks to know whether strategic debt management approach exacts a significant effect on the Nigerian private sector and Africa at large resulting to higher credit availability for sustainable enterprise establishment. The study used a time-series observation spanning from 1981-2021. The method of data analysis employed the unit root test for stationarity. Johansen cointegration and vector error correction approach. The result of the unit root test indicates the series were all stationary after first difference and thus were integrated of order1. The Johansen cointegration test support the existence of a cointegrating series between the private credit and its determinants. More empirical evidence from the study shows that proper debt management and increase revenue generation through net taxes on products accounted for 0.93 and 1.32% increase in private sector credit mobilization, while total external debt stock was responsible for a significant negative influence of 0.60% on private sector credit mobilization. The study recommends that the government should always be proactive in their strategic and innovative approach to debt management, revenue generation and sources of funds. This will help not only to avoid crowding out of the private sector but will enhance adequate credit mobilization for effective operations of the private sector.

Prescriptive Analytics-Based SIRM Model for Predicting Covid-19 Outbreak

Predicting the outbreak of a pandemic is an important measure in order to help saving people lives threatened by Covid-19. Having information about the possible spread of the pandemic, authorities and people can make better decisions. For example, such analyses help developing better strategies for distributing vaccines and medicines. This paper has modified the original Susceptible-Infectious-Recovered (SIR) model to Susceptible-Immune-Infected-Recovered (SIRM) which includes the Immunity ratio as a parameter to enhance the prediction of the pandemic. SIR is a widely used model to predict the spread of a pandemic. Many types of pandemics imply many variants of the SIR models which make it very difficult to find out the best model that matches the running pandemic. The simulation of this paper used the published data about the spread of the pandemic in order to examine our new SIRM. The results showed clearly that our new SIRM covering the aspects of vaccine and medicine is an appropriate model to predict the behavior of the pandemic.

The single, complementary, balanced, and imbalanced influences of entrepreneurial attitudes and intentions on entrepreneurial behaviors: Polynomial regression with response surface analysis

This research aims to examine how attitudes toward entrepreneurship and entrepreneurial intention individually and jointly affect start-up behaviors, drawing on the Theory of Planned Behavior. Based upon a survey dataset of 1890 master's students in Vietnam, we methodologically adopted a polynomial regression with response surface analysis to shed light on how a higher degree of entrepreneurial behavior is synthesized from a balance between high attitudes toward entrepreneurship and entrepreneurial intention. Conversely, a large imbalance between attitudes toward entrepreneurship and entrepreneurial intention will lead to a lower level of start-up behaviors. Additionally, this study illustrates the gendered perspectives related to the complex interactions between attitudes toward entrepreneurship, entrepreneurial intention, and start-up behaviors when a high discrepancy between entrepreneurial attitudes and intentions results in a sharp decrease in start-up behaviors in women but does not occur in men. In addition to theoretical contributions, some practical and managerial suggestions are provided for enforcing entrepreneurial activities.

IT Capabilities, Strategic Flexibility and Organizational Resilience in SMEs Post-COVID-19: A Mediating and Moderating Role of Big Data Analytics Capabilities

This research provides a novel progression to the existing research about big data analytics capabilities (BDAC) by investigating and measuring its influence on organizational resilience and strategic flexibility. Toward that end, 400 different SMEs in Saudi Arabia were approached. Data were collected via questionnaire. Results confirm that the ability to handle big data analytics totally mediates the relationship between IT capabilities and strategic flexibility. Big data infrastructure flexibility has a negative effect on strategic flexibility. Big data personal expertise not only negatively affects the relationship between IT capabilities and strategic flexibility but also stimulates and reinforces the relationship between strategic flexibility and organizational resilience. The critical pathway developed and tested the trend to make the organization as an immune system able to make the best of the worst. This implies the urgent need for policymakers and managers to adopt and comprehend the concept of BDAC instead of IT capabilities to define oriented plans specifically formulated for stimulating strategic flexibility and organizational resilience. By adopting the proposed model, SMEs can interact more effectively internally and externally.

Individual ambidexterity after entrepreneurial failure in COVID-19 pandemic times: the influence of current employment status

Purpose

This study highlights the business failure experienced in pandemic times, its impact on entrepreneurs' perception of failure and the reciprocal relationship between entrepreneurs' perception of failure and individual ambidexterity.

Design/methodology/approach

The study provides empirical evidence on interpreting the long-term outcomes of business failure in pandemic times and develops a deeper insight by utilizing a two-year research design (time 1: 2020 and time 2: first half of 2021). It draws on data from 200 entrepreneurs who experienced business failure in the coronavirus disease 2019 (COVID-19) pandemic times which is a global crisis.

Findings

The results revealed that both challenge and hindrance appraisals of failure are associated with individual ambidexterity over time. Self-efficacy and social valuation of re-entry decisions are mediators between hindrance appraisal and individual ambidexterity on both time 1 and time 2. Moreover, there is a positive reciprocal relationship between self-efficacy and ambidexterity throughout the two time periods. In regard to participants' current employment status, hindrance appraisal, self-efficacy and perceptions of ambidexterity linkages were found to be significantly different in terms of unemployment and employment.

Originality/value

To the best of the author's knowledge, it is the first time that the individual ambidexterity of failed entrepreneurs was explored after hard times in the pandemic. It comprehensively helps to understand the importance of cognitive appraisal of hard times and identifies the perceptional and behavioral consequences of failure in entrepreneurship.