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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.

An efficient corporate social responsibility (CSR) framework in many economies has been linked with human capital development, social and financial inclusion, environmental protection and better stakeholder management. This article examines the level of efficiency of the CSR framework in Nigeria; it underscores the developmental potentials of CSR practices within the Nigerian business community. However, a prevailing trend of haphazard and sometimes dodgy CSR practices by free riding rogue companies mars such potentials. Underpinning these dodgy practices has been a CSR ‘business case’ argument coupled with dysfunctional business (corporate) law assumptions among other causative factors. The article appraises the implications of these causative factors and towards minimising the haphazard practices, proposes corporate law reforms through which the Nigerian CSR framework may become more effective.

When we try to explain the dynamic relationship between actors and their environment, “unidirectional” paradigms clustered at either end of an agency–determinism continuum, theoretical absolutes, and a focus on final outcomes are of limited value. Comparative research is uniquely positioned to move beyond such limitations and toward accounts of organizing that incorporate variation, interests, and interaction. To guide comparative research toward this more relational approach, we (1) highlight a move toward the middle ground of the agency–determinism continuum, that is, varieties of interaction and mutual influence between actors and their environments across levels of analysis; and (2) propose to conceptualize actor–environment relations as a “negotiation.” We use this metaphorical lens to stimulate a focus on the variety of different “negotiation spaces” and “negotiation moves,” which actors may utilize in an organizational field to affect stability or change. We provide an exemplary application of the framework and conclude with some observation on the implications for future research.

Collaborative forms range from co-located teams engaged in short term local projects, to international joint ventures, to worldwide networks of organizations and citizens linked together to generate global social change. In order to discern patterns that transcend the breadth of forms (including virtual), a new term is introduced that encompasses the entire spectrum: collaborative entity (CE). The diverse and far-ranging CE literature is then integrated into the Collaborative Capacity (CC) Framework. That framework is comprised of ten broad constructs and their interrelationships that, when considered together, capture fundamental aspects of all CEs. The CC Framework provides a bridge-building language to help facilitate inter-disciplinary, multi-dimensional dialogue, research, and perspectives on fostering collaborative capacity.

Purpose – This chapter examines how sentiment analysis and web-crawling technology can be used to conduct large-scale data analyses of extremist content online.

Methods/approach – The authors describe a customized web-crawler that was developed for the purpose of collecting, classifying, and interpreting extremist content online and on a large scale, followed by an overview of a relatively novel machine learning tool, sentiment analysis, which has sparked the interest of some researchers in the field of terrorism and extremism studies. The authors conclude with a discussion of what they believe is the future applicability of sentiment analysis within the online political violence research domain.

Findings – In order to gain a broader understanding of online extremism, or to improve the means by which researchers and practitioners “search for a needle in a haystack,” the authors recommend that social scientists continue to collaborate with computer scientists, combining sentiment analysis software with other classification tools and research methods, as well as validate sentiment analysis programs and adapt sentiment analysis software to new and evolving radical online spaces.

Originality/value – This chapter provides researchers and practitioners who are faced with new challenges in detecting extremist content online with insights regarding the applicability of a specific set of machine learning techniques and research methods to conduct large-scale data analyses in the field of terrorism and extremism studies.