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Purpose – We outline how research on groups in disrupted environments can advance research on group processes.

Design/Methodology/Approach – We review studies of groups in disrupted environments, drawing mostly on military research to generate understanding of intra- and intergroup dynamics. We also identify new technologies and methods to improve measurement and modeling of groups.

Findings – When consolidated, the research documenting challenges groups operating in disrupted environments face suggests the importance of considering them as a unique set of circumstances for groups. It also identifies methods for objectively measuring and modeling groups in these environments.

Practical Implications – This chapter will help practitioners determine factors pertinent to groups working in disrupted environments, identify group processes that generate success and those that undermine group effectiveness, and point to emerging technologies to better measure and model group processes in disrupted environments.

Social Implications – Group processes affect both individuals and societies. In the context of the disrupted environments, group performance translates to enormous consequences for individuals, as well as national security and humanitarian implications.

Originality/Value of the Chapter – This chapter uniquely consolidates the vast amount of research on groups operating in disrupted environments and also is innovative in emphasizing the disrupted context as a generalizable situation that elucidates key dimensions of group processes and performance in disrupted environments.

The business world today is witnessing ever-growing disruption. This study highlights corporate social responsibility (CSR) as an effective strategy for firms in disrupted industries to consider in order to differentiate themselves and to increase their chance of survival facing disruption.

In this study, the authors test the hypotheses using a multilevel modeling (MLM) design to capture the group and intergroup effects at the industry level and at the firm level. The empirical analysis is based on a panel sample of 1,193 firms over the 10-year period from 2010 to 2019.

The empirical analysis indicates that CSR has a positive impact on corporate financial stability and the effect is especially significant for firms in disrupted industries. Further investigation suggests that this positive effect largely runs through traits of the social pillar, such as human rights, employee relations, customer protection, product responsibility and community impact. The results are robust after controlling for other firm-specific characteristics and after addressing endogeneity concerns.

This study examines whether, and through which channel, CSR helps enhance corporate financial stability and mitigate bankruptcy risk in disrupted industries. To the best of the authors' knowledge, this study is the first attempt to explore the use of CSR as an effective strategic response to disruption. Further analysis indicates that the social capital built through CSR plays an important role in helping enhance corporate financial stability.

We investigate product innovation by a cohort of entrants who use technology that eventually suffers disruption. We concentrate on two types of entrants – those with and those without relevant prior experience in the disrupted technology. Using the industrial robotics industry as the context of our study, we explore product innovation using disrupted technology during two time periods: the first prior to sales takeoff of the disruptive products and the second subsequent to takeoff. We find that the two types of entrants did not differ in product innovation prior to takeoff, but firms with prior experience in the disrupted technology manufactured more innovative products subsequent to the sales takeoff of disruptive products. Our research underscores that the boundary conditions of the utility of prior experience is more nuanced than that which literature suggests – it affects product innovation only in the post-sales takeoff period when the demand uncertainties are relatively low. Our findings also suggest that the boundary conditions of Christensen’s thesis are narrower than predicted by prior literature.

Climate hazards in the form of cyclones are projected to become more intense under the pressures of future climate change. These changes represent a growing hazard to low lying coastal cities like Beira, Mozambique. In 2019, Beira experienced the devastating impact of Cyclone Idai. One of the many impacts resulting from this Cyclone was disrupted drinking water access. This investigation explores the distribution of Cyclone Idai’s impact on drinking water access via an environmental justice lens, exploring how preexisting water access characteristics may have predisposed households to the impacts of Cyclone Idai in Beria.

Relying on household survey data collected in Beira, the investigation applied a decision tree algorithm to investigate how drinking water disruption was distributed across the household survey sample using these preexisting vulnerabilities.

The investigation found that households that mainly relied upon piped water sources and experienced inconsistent access to water in the year prior to Cyclone Idai were more likely to experience disrupted drinking water access immediately after Cyclone Idai. The results indicate that residents in formal areas of Beira, largely reliant upon piped water supply, experienced higher rates of disrupted drinking water access following Cyclone Idai.

These findings question a commonly held assumption that informal areas are more vulnerable to climate hazards, like cyclones, than formal areas of a city. The findings support the inclusion of informal settlements in the design of climate change adaptation strategies.

This paper aims to develop an algorithm to study the impact of dynamic resource disruption on project makespan and provide a suitable resource disruption ratio for various complex industrial and emergency projects.

This paper addresses the RCPSP in dynamic environments, which assumes resources will be disrupted randomly, that is, the information about resource disruption is not known in advance. To this end, a reactive scheduling model is proposed for the case of random dynamic disruptions of resources. To solve the reactive scheduling model, a hybrid genetic algorithm with a variable neighborhood search is proposed.

The results obtained on the PSLIB instances prove the performance advantage of the algorithm; through sensitivity analysis, it can be obtained, the project makespan increases exponentially as the number of disruptions increase. Furthermore, if more than 50% of the project's resources are randomly disrupted, the project makespan will be significantly impacted.

The paper focuses on the impact of dynamic resource disruptions on project makespan. Few studies have considered stochastic, dynamic resource uncertainty. In addition, this research proposes a reasonable scheduling algorithm for the research problem, and the conclusions drawn from the research provide decision support for project managers.

Distribution systems usually utilize both traditional retailing channels in conjunction with e-channels. The purpose of this paper is to investigate a dual-channel supply chain, comprising a traditional retailing channel and an e-channel under disruption. By benchmarking against the centralized decision structure, the authors intend to propose a collaboration model to achieve channel coordination as well as more reliable decisions.

Four different channel disruption scenarios, with customers’ reaction toward disruptions, are examined, and then, optimal pricing decisions for both centralized and decentralized decision-making structures are extracted. Next, a collaboration mechanism based on the dominancy power of channel members is developed to entice all channel members to participate in channel coordination. By benchmarking the proposed collaboration model against both the decentralized/centralized structures a win–win solution is guaranteed for all channel members. In addition, the proposed model ensures more reliable decisions than the centralized structure, as it guarantees less fluctuated income levels.

This study shows, as the disruption probability grows, the channel profit decreases while the channel-retailing price increases. Furthermore, the exact alignment of the centralized decision-making approach and the proposed collaboration model is not achievable due to the problem infeasibility. Numerical experiments and sensitivity analyses benchmark the performance of the proposed collaboration mechanism against the centralized structure for the full alignment with centralized decision-making approach.

This study contributes to the channel conflict literature as jointly considers pricing decisions, disruptions and coordination. Further, consumers’ reaction toward disruption is analyzed through a transshipment agreement.

This paper aims to reschedule the freight train timetable in case of disturbance to restore the train services as soon as possible.

Hence, an integer linear programming model for the real-time freight heavy-haul railway traffic management is developed in case of large primary delays caused by the delayed cargos loading. The proposed model based on the alternative graph at the microscopic level depicts the freight train movements in detail. Multiple dispatching measures such as re-timing and re-ordering are taken into account. Moreover, two objective functions, namely, the total final delays and the consecutive delays, are minimized in the freight trains dispatching problem.

Finally, a real-world computational experiment based on the Haolebaoji-Ji’an freight heavy-haul railway is implemented. The results of all disrupted cases are obtained within 10 s. The results give insight into that the consecutive delays are more than the total final delays when the same disrupted situation and the consecutive or total final delays increase as the primary delays increase.

An integer linear programming model based on the alternative graph for the real-time freight heavy-haul railway traffic management is developed in case of large primary delays caused by the delayed cargos loading. The method can be developed as the computer-aided tool for freight train dispatchers.

A variety of buffer allocation methods exist to distribute an aggregated time buffer among project activities. However, these methods do not pay simultaneous attention to two key attributes of disruptive events that may occur during the construction phase: probability and impact. This paper fills this research gap by developing a buffer allocation method that takes into account the synergistic impact of these two attributes on project activities.

This paper develops a three-step method, calculating the probability that project activities are disrupted in the first step, followed by measuring the potential impact of disruption on project activities, and then proposing a risk-informed buffer allocation index by simultaneously integrating probability and impact outputs from the first two steps.

The proposed method provides more accurate results by sidestepping the shortcomings of conventional fuzzy-based and simulation-based methods that are purely based on expert judgments or historical precedence. Further, the paper provides decision-makers with a buffer allocation method that helps in developing cost-effective buffering and backup strategies by prioritizing project activities and their required resources.

This paper develops a risk-informed buffer allocation method that differs from those already available. The simultaneous pursuit of the probability and impact of disruptions distinguishes our method from conventional buffer allocation methods. Further, this paper intertwines the research domains of complexity science and construction management by performing centrality analysis and incorporating a key attribute of project complexity (i.e. the interconnectedness between project activities) into the process for buffer allocation.

Imprisonment can severely alter, disrupt, or even terminate mothering. Yet, often seen by society as giving up on or abandoning their children, women in prison tend to invoke less empathy or tolerance than women whose mothering is disrupted through other means, such as illness. Therefore, while many women in prison attach great significance to the role and responsibilities of motherhood, the restrictions of the prison environment impacting the ability to participate in mothering, compounded by a sense of guilt, failure, stigma, shame, and role strain can pose a direct threat to mothering identities of women in prison. Central to the research from which this chapter has developed was the challenge of making sense of the constructed meaning of motherhood for women in prison. Drawing on feminist narrative approaches, significance is placed not only on the content of stories but equally on the social role of the story told (Plummer, 1995). Three key and interrelated narratives are highlighted: “Difficult Disclosures,” “Double-edged Sword,” and “Negotiating Care.” This chapter concludes by considering the implications of the research for policy and practice and how through exploring the stories of mothers in prison we are able to hear about and value a diversity of mothers’ lives, so that these mothers do not have to inhabit the margins of motherhood.

“The Need to Disrupt Social Control” discusses three examples: sexual assault, civil rights, and state security, and how all three involve social control forces that promote or permit the oppression of individuals, groups, and societies. Amentahru Wahlrab, Sarah M. Sass, and Robert Edward Sterken Jr. briefly provide examples of how social control can be disrupted including #MeToo (sexual assault), the American Civil Rights Movement (civil rights), and the Arab Spring (authoritarian regimes) to illustrate how social control has been disrupted in these areas. The chapter illustrates how patriarchal norms allow for sexual assault by those with power within contexts, such as Hollywood, academia, business, and politics. Sexual assault survivors and bystanders often do not report instances of assault due to informal social norms permitting such actions and fear of personal and professional harm.

On a different level, the jail in the American south was one of the most feared institutions for African Americans. It was not uncommon for an African American to never return from what would be a night in the “drunk tank” for a white person. Black Americans stayed “in their place” due to the threat of the jail cell. Finally, the chapter details how tyrants use the full weight of state security forces, including the police and the military, to maintain their control. Fear of security forces is routinely encouraged by arrests, torture, and even disappearance (of people) at the hands of the security forces. “The Need to Disrupt Social Control” concludes that in these cases, social control maintains an oppressive order of some kind, thus social control is understood as a potential negative.