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This chapter elaborates on the usefulness of embracing complexity theory, modeling outcomes rather than directionality, and modeling complex rather than simple outcomes in strategic management. Complexity theory includes the tenet that most antecedent conditions are neither sufficient nor necessary for the occurrence of a specific outcome. Identifying a firm by individual antecedents (i.e., noninnovative vs. highly innovative, small vs. large size in sales or number of employees, or serving local vs. international markets) provides shallow information in modeling specific outcomes (e.g., high sales growth or high profitability) – even if directional analyses (e.g., regression analysis, including structural equation modeling) indicate that the independent (main) effects of the individual antecedents relate to outcomes directionally – because firm (case) anomalies almost always occur to main effects. Examples: a number of highly innovative firms have low sales while others have high sales and a number of noninnovative firms have low sales while others have high sales. Breaking-away from the current dominant logic of directionality testing – null hypothesis significance testing (NHST) – to embrace somewhat precise outcome testing (SPOT) is necessary for extracting highly useful information about the causes of anomalies – associations opposite to expected and “statistically significant” main effects. The study of anomalies extends to identifying the occurrences of four-corner strategy outcomes: firms doing well in favorable circumstances, firms doing badly in favorable circumstances, firms doing well in unfavorable circumstances, and firms doing badly in unfavorable circumstances. Models of four-corner strategy outcomes advance strategic management beyond the current dominant logic of directional modeling of single outcomes.

The United States has an uncomfortable relationship with pleasure. Cultural ambivalence is evident in discourses surrounding pleasure and the labeling and treatment of those who act on their desires. Pleasure seeking, generally understood in moral terms, is often medicalized and criminalized (as in the case of pregnancy prevention and drug use), placing questions of how to manage pleasure under the purview of medical and legal actors. At the macrolevel, institutions police pleasure via rules, patterns of action, and logics, while at the microlevel, frontline workers police pleasure via daily decisions about resource distribution. This chapter develops a sociolegal framework for understanding the social control of pleasure by analyzing how two institutions – medicine and criminal justice – police pleasure institutionally and interactionally. Conceptualizing medicine and criminal justice as paternalistic institutions acting as arbiters of morality, I demonstrate how these institutions address two cases of pleasure seeking – drug use and sex – by drawing examples from contemporary drug and reproductive health policy. Section one highlights shared institutional mechanisms of policing pleasure across medicine and criminal justice such as categorization, allocation of professional power, and the structuring of legitimate consequences for pleasure seeking. Section two demonstrates how frontline workers in each field act as moral gatekeepers as they interpret and construct institutional imperatives while exercising discretion about resource allocation in daily practice. The chapter concludes with a discussion of how understanding institutional and interactional policing of pleasure informs sociolegal scholarship about the relationships between medicine and criminal justice and the mechanisms by which institutions and frontline workers act as agents of social control.

This research paper aims to better understand the network structure of higher education in North America. It draws on a relationally networked dataset of 1,292 degree-granting colleges and universities in North America to develop a modularity class approach to categorizing colleges and universities based on their own self-defined peer networks and assesses the utility of the modularity class approach as well as several measures of network centrality for predicting offerings of new curricular fields. Results show that not all measures of network centrality equally predict organizational change outcomes, with hub/authority position being most important. Additionally, results show that an empirically derived modularity class approach to categorizing organizations has important strengths in relation to more typical approaches based on prestige or perceived organizational characteristics. The approaches detailed in this paper will be useful for future analysts seeking to explain the spread of innovations and behavior across the higher education institutional field, as well as those seeking to understand clustering and organizational divergence.

Purpose – Driver education and licensing are two mechanisms used to reduce crash rates. The purpose of this chapter is to provide an overview of these countermeasures and consider how simulators can be used to augment more traditional approaches.

Approach – A literature review was undertaken evaluating key concepts in driver licensing including graduated driver licensing (GDL), the role of parents in licensing, compliance and enforcement, driver testing and how the driver licensing system impacts on levels of unlicensed driving. Literature regarding driver education for individuals who have and not yet obtained a licence was also reviewed.

Findings – GDL is a successful countermeasure for reducing the crash rates of young novice drivers as it limits their exposure to higher risk situations. The support for driver education initiatives is mixed. As there are big differences between education programs, there is a need to consider each program on its own merits. Driving simulators provide a safe environment for novices to gain experience. In particular, they may be bifacial for development of hazard perception and visual scanning skills.

Practical Implications – GDL systems should be introduced where appropriate. Existing systems should be strengthened where possible by including additional, best-practice and restrictions. When considering driver education as a countermeasure, the type of program is very important. Education programs that have been shown to increase crashes should not be introduced. Further research and development are necessary to ensure that driver education and licensing adequately equip novice drivers with the skills necessary to drive in the 21st century.

This chapter provides a qualitative discussion on the role of social justice mechanisms as a response to alleviate stressors within neoliberal frameworks. Lifelong learning (LLL) has various models and goals, inclusive of social justice. It establishes flexible learning modes and environments to expand educational opportunities to include disadvantaged or marginalised individuals (Armstrong, 2014; Yang, Schneller, & Roche, 2015). Further, LLL has the capability to assess new events and use methods to effectively implement strategies that manage negative educational and economic impacts (Sharma, 2004). Within the Bologna Process (BP), LLL continues to be evaluated, and interestingly, LLL operates within this system that aims to create universalised and standardised practices across participating countries. As a result, there is a dynamic relationship of flexible learning within a structured framework.

This chapter addresses the issue of whether and how LLL has been responsive to major social and economic crises that have impacted the BP and inevitably learning processes. To determine LLL responses and possible contributions, a case study examination of policy and implementation in Scotland is presented through the lens of two major global crises. The two crises are the 2008–2009 Global Recession and the 2019–present day COVID-19 pandemic, which have impacted the planning and provision of education across the European Higher Education Area (EHEA). Analysis is drawn from national government documents, academic and international organisation research papers, an interview and articles from relevant years. Challenges in LLL provision are also presented in the analysis. And although we cannot forecast with certainty the next global crisis to impact our educational system, this chapter concludes with points on how future impacts may be mitigated through LLL.