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Africa is a vast, immensely diverse continent with hundreds of local languages, traditions, values, and cultures that shape the lives of its people. The vast resources available on the continent present numerous opportunities for economic development and prosperity. The preceding chapters in this volume have explored many of these resources, highlighting the importance of indigenous knowledge in driving sustainable business structures across Africa. This chapter concludes with practical recommendations for implementing and sustaining indigenous knowledge on the continent and building a more equitable and sustainable future for Africa. We anticipate that these observations and recommendations will aid African researchers, government and non-governmental organisations, educators, business actors and leaders, legislators, and the general public in thinking globally but acting locally to advance indigenous knowledge in Africa.

This chapter addresses one of the most crucial areas for critical thinking: the morality of turbulent markets around the world. All of us are overwhelmed by such turbulent markets. Following Nassim Nicholas Taleb (2004, 2010), we distinguish between nonscalable industries (ordinary professions where income grows linearly, piecemeal or by marginal jumps) and scalable industries (extraordinary risk-prone professions where income grows in a nonlinear fashion, and by exponential jumps and fractures). Nonscalable industries generate tame and predictable markets of goods and services, while scalable industries regularly explode into behemoth virulent markets where rewards are disproportionately large compared to effort, and they are the major causes of turbulent financial markets that rock our world causing ever-widening inequities and inequalities. Part I describes both scalable and nonscalable markets in sufficient detail, including propensity of scalable industries to randomness, and the turbulent markets they create. Part II seeks understanding of moral responsibility of turbulent markets and discusses who should appropriate moral responsibility for turbulent markets and under what conditions. Part III synthesizes various theories of necessary and sufficient conditions for accepting or assigning moral responsibility. We also analyze the necessary and sufficient conditions for attribution of moral responsibility such as rationality, intentionality, autonomy or freedom, causality, accountability, and avoidability of various actors as moral agents or as moral persons. By grouping these conditions, we then derive some useful models for assigning moral responsibility to various entities such as individual executives, corporations, or joint bodies. We discuss the challenges and limitations of such models.

The article engages with Amartya Sen’s interpretation of Piero Sraffa’s Production of Commodities by Means of Commodities (PCMC). Sen has the distinction of highlighting the philosophical and methodological aspects of Sraffa’s work. In this regard, Sen has highlighted the role of counterfactuals in economic theory and the role of value theory in political economy as a matter of “social communication.” On these two issues, there is considerable discussion in recent Sraffian scholarship that is concerned with the significance of Sraffa’s critique of marginalist theory and the rehabilitation of classical economics. The article scrutinizes Sen’s interpretation of PCMC and highlights several noteworthy contributions and insights. While being sympathetic to the substantive points of criticism entailed by PCMC, Sen misunderstands Sraffa’s “critique of economic theory” and the reasoning involved in such a critique. A critical reading reveals that Sen’s interpretation of Sraffa is more reflective of his own work on the “choice basis of description” than an appreciation of Sraffa’s theoretical project. Despite the misunderstandings, the article highlights the similarities in vision between Sen’s interpretation of Sraffa and Sraffa’s revival of classical economics. By undertaking such a critical reading, the article raises important issues about method and the scope of economic enquiries.

This chapter argues for the unrealised potential value of methodologies derived from a critical realist research philosophy in the field of entrepreneurship studies. Critical realism offers methodological alternatives that, through the generation of new insights into social relations, social structures and key generative mechanisms, can offer significant value for entrepreneurship researchers. Reflecting on their personal experiences researching from a critical realist perspective in entrepreneurship studies, the authors explore how this research philosophy can extend the field of inquiry and promote new perspectives. The chapter explores this in relation to the specific topic of enterprise policy and demystifies some aspects of critical realism by setting out some of its basic principles to demonstrate their potential to develop new insights. Further, this approach can create significant impact, for example, through the development of effective interventions. The chapter concludes by identifying implications for enterprise policy development, implementation and evaluation.

The aim of this chapter is to stimulate debate and critical thinking about the relevance and effectiveness – especially for ‘non-core’ areas – of prevailing methodological approaches to entrepreneurial ecosystems (EE) research and policy development and to argue for the exploration of critical realism (CR) as a potential framework for researchers, practitioners and policymakers. I argue that prevailing theoretical and methodological frameworks are insufficient to enable researchers to adequately understand the dynamics of diverse EE or for policymakers to act appropriately on research findings. I posit CR as an alternative framework, providing a ‘lens’ through which researchers, policymakers and other ecosystem stakeholders can collaboratively explore the role of context and its interplay with agency. CR addresses the disadvantages associated with deterministic models of entrepreneurship and ‘Valley envy’ policy prescriptions, thus generating more meaningful insights for policy and practice, especially in relation to ‘non-core’ areas.

The overall goal of science is to build a valid and reliable body of knowledge about the functioning of the world and how applying that knowledge can change it. As personnel and human resources management researchers, we aim to contribute to the respective bodies of knowledge to provide both employers and employees with a workable foundation to help with those problems they are confronted with. However, what research on research has consistently demonstrated is that the scientific endeavor possesses existential issues including a substantial lack of (a) solid theory, (b) replicability, (c) reproducibility, (d) proper and generalizable samples, (e) sufficient quality control (i.e., peer review), (f) robust and trustworthy statistical results, (g) availability of research, and (h) sufficient practical implications. In this chapter, we first sing a song of sorrow regarding the current state of the social sciences in general and personnel and human resources management specifically. Then, we investigate potential grievances that might have led to it (i.e., questionable research practices, misplaced incentives), only to end with a verse of hope by outlining an avenue for betterment (i.e., open science and policy changes at multiple levels).

Introduction: India has the 15th-largest domestic natural gas consumption (NGC), critical to sustainable economic growth. Promoting natural gas will have a crucial impact on production in all industries.

Purpose: This research gives an overview of NGC and gross domestic product (GDP) in India from 1990 to 2021 and investigates the association and nature of causality between NGC and GDP in India.

Methodology: For the years 1990 through 2021, we used annual statistics from the NGC and the GDP of India. Both research variables data have been taken from the World Bank Indicator.

Findings: There is no causality and correlation between natural gas and GDP in India.

Practical Implications: Based on the research, the Government of India can create different policies for substituting natural gas for other energy sources to have a healthier impact on a sustainable environment in the short and long term. In the future, researchers can work on environmental degradation and GDP.

The study explores the decision-making logics driving the usage of social media among internationalising small and medium-sized enterprises (SMEs), and how it supports entrepreneurial opportunity recognition. The author draws on qualitative data from four internationalising firms all of which had adopted social media. The findings show that causal decision-making logic is the main element driving the initial usage of social media (i.e. pre-adoption). Concerning ongoing usage, the author found evidence of both causal and effectual logic; the choice being dependent on the firm’s resources. The findings also show that both drivers of social media users have a paramount role in entrepreneurial opportunity recognition.

Relationships have changed dramatically in the last 50 years. Fewer couples are marrying, more are cohabiting. Reasons for this shift include more attractive labor market opportunities for women and changing social norms, but the shift may have consequences of its own. A number of models predict that those cohabiting will specialize less than those marrying. Panel data on time use – particularly housework time – as well as on the degree of specialization in more narrowly defined household tasks from the 2001–2019 waves of the Household, Income and Labour Dynamics in Australia survey are used to test this prediction.

The time use data for men provides only limited supporting evidence for specialization. The results for women are much stronger. Women who marry without first cohabiting increase their reported housework time more than those who enter cohabitations (by 3.7 hours versus 1.2 hours). The latter generally make up a third of the difference if they do marry. Expanding the analysis to other uses of time yields some further evidence of specialization.

Survey responses on the degree of specialization are more informative. The raw data show substantial intrahousehold specialization and further analysis reveals that on average married couples specialize more than cohabiting couples. Adding couple-specific fixed effects reveals that specialization increases when cohabiting couples marry. Interestingly, there does not appear to be a substantial tradeoff between tasks; partners who report specializing more on one task are more likely to report specializing on other tasks as well. Given the important roles couples have in family formation and the labor market, it is important to understand this intrahousehold behavior.

A zero-day vulnerability is a complimentary ticket to the attackers for gaining entry into the network. Thus, there is necessity to device appropriate threat detection systems and establish an innovative and safe solution that prevents unauthorised intrusions for defending various components of cybersecurity. We present a survey of recent Intrusion Detection Systems (IDS) in detecting zero-day vulnerabilities based on the following dimensions: types of cyber-attacks, datasets used and kinds of network detection systems.

Purpose: The study focuses on presenting an exhaustive review on the effectiveness of the recent IDS with respect to zero-day vulnerabilities.

Methodology: Systematic exploration was done at the IEEE, Elsevier, Springer, RAID, ESCORICS, Google Scholar, and other relevant platforms of studies published in English between 2015 and 2021 using keywords and combinations of relevant terms.

Findings: It is possible to train IDS for zero-day attacks. The existing IDS have strengths that make them capable of effective detection against zero-day attacks. However, they display certain limitations that reduce their credibility. Novel strategies like deep learning, machine learning, fuzzing technique, runtime verification technique, and Hidden Markov Models can be used to design IDS to detect malicious traffic.

Implication: This paper explored and highlighted the advantages and limitations of existing IDS enabling the selection of best possible IDS to protect the system. Moreover, the comparison between signature-based and anomaly-based IDS exemplifies that one viable approach to accurately detect the zero-day vulnerabilities would be the integration of hybrid mechanism.