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Bystander apathy has been a source of debate for decades. In the past half-century, psychologists developed theoretical frameworks to understand bystander activity, commonly referred to as bystander intervention models (BIMs). More recently, BIMs have been modified to facilitate initiatives to prevent various forms of online victimization. This chapter begins with a review of BIMs and recent applications of bystander intervention research to online environments. We also present several future directions for research along with applications for reducing technology-facilitated violence, including programming recommendations and theoretical development.

Using observational and experimental designs, the purpose of this study was to explore if the power relation between the offender and the victim of incivility and the level of perceived severity of the incivility were associated with bystanders’ intentions to help when witnessing workplace incivility.

In Study 1, 160 participants completed a questionnaire where they described a recent uncivil incident they had witnessed, and completed measures of perceived severity and measures of their behavioural response as bystanders. In Study 2, 183 participants were randomised to read one of two vignettes (a manager being uncivil towards a subordinate or vice versa), and completed measures of perceived severity and of their motivation to intervene. The authors investigated whether the power relation between perpetrator and victim, and the perceived severity of the uncivil exchange, were associated with prosocial bystander behaviours in Study 1 and with motivation to defend the victim of incivility in Study 2.

Higher perpetrator power was significantly associated with the incident being perceived as more severe, and higher perpetrator power was directly related to greater tendency to confront, and lower tendency to avoid, the perpetrator. Perpetrator power was indirectly associated with social support according to the perceived severity. A supervisor acting in an uncivil manner was rated as more severe than a subordinate acting in such a way. Perceived severity mediated the relationship between perpetrator power and the witness’s introjected, identified and intrinsic motivation to intervene.

This study extends previous work by investigating how the perpetrator’s power influences both the bystander’s prosocial behaviour and their motivation to defend the victim. Furthermore, previous research has not considered how perceptions of severity might mediate the relationship between power, behaviour and motivation.

The purpose of this paper is to examine whether the impact of persistent racial bias, discrimination and racial violence is facilitated by otherwise well-intentioned individuals who fail to act or intercede. Utilizing the aversive racism framework, the need to move beyond awareness raising to facilitate behavioral changes is discussed. Examining the unique lens provided by the aversive racism framework and existing research, the bystander effect provides important insights on recent acts of racial violence such as the murder of Mr. George Floyd. Some promise is shown by the work on effective bystander behavior training and highlights the need for shared responsibility in preventing the outcomes of racial violence and discrimination to create meaningful and long-lasting social change.

This paper uses literature based on the aversive racism framework together with the literature on the bystander effect to understand the factors, conditions and consequences for lack of intervention when the victim is African American. This paper also provides evidence and theory-based recommendations for strategies to change passive bystanders into active allies.

The use of the aversive racism framework provides a powerful lens to help explain the inconsistencies in the bystander effect based on the race of the victim. The implications for intervention models point to the need for behavioral and competency-based approaches that have been shown to provide meaningful change.

Several different approaches to address incidents of racial aggression and violence have been developed in the past. However, given the principles of aversive racism, a unique approach that considers the inconsistencies between self-perceptions and actions is needed. This sets a new agenda for future research and meaningful behavioral intervention programs that seek to equip bystanders to intercede in the future.

The need to address and provide effective strategies to reduce the incidence of racial aggression and violence have wide-ranging benefits for individuals, communities and society.

By connecting the aversive racism framework to the bystander effect, the need for different models for developing responsive and active bystanders can be more effectively outlined.

Engaging in webcare, i.e. responding to online reviews, can positively affect consumer attitudes, intentions and behavior. Research is often scarce or inconsistent regarding the effects of specific webcare strategies on business performance. Therefore, this study tests whether and how several webcare strategies affect hotel bookings.

We apply machine learning classifiers to secondary data (webcare messages) to classify webcare variables to be included in a regression analysis looking at the effect of these strategies on hotel bookings while controlling for possible confounds such as seasonality and hotel-specific effects.

The strategies that have a positive effect on bookings are directing reviewers to a private channel, being defensive, offering compensation and having managers sign the response. Webcare strategies to be avoided are apologies, merely asking for more information, inviting customers for another visit and adding informal non-verbal cues. Strategies that do not appear to affect future bookings are expressing gratitude, personalizing and having staff members (rather than managers) sign webcare.

These findings help managers optimize their webcare strategy for better business results and develop automated webcare.

We look into several commonly used and studied webcare strategies that affect actual business outcomes, being that most previous research studies are experimental or look into a very limited set of strategies.

Polyvictimization means looking at multiple victimizations of different kinds that one person has experienced. Virtually, all of the work in this field focuses on the effects of childhood trauma and victimization on currently distressed children, and empirical and theoretical work on the intertwining of adult female offline and online abuse experiences is in short supply. Recently, however, some scholars are starting to fill these research gaps by generating data showing that technology-facilitated violence and abuse are part and parcel of women's polyvictimization experiences at institutions of higher education. This chapter provides an in-depth review of the extant social scientific literature on the role technology-facilitated violence and abuse plays in the polyvictimization of female college/university students. In addition to proposing new ways of knowing, we suggest progressive policies and practices aimed at preventing polyvictimization on the college campus.

At the US passenger stations, train operations approaching terminating tracks rely on the engineer’s compliant behavior to safely stop before the end of the tracks. Noncompliance actions from the disengaged or inattentive engineers would result in hazards to train passengers, train crewmembers and bystanders at passenger stations. Over the past decade, a series of end-of-track collisions occurred at passenger stations with substantial property damage and casualties. This study’s developed systemic model and discussions present policymakers, railway practitioners and academic researchers with a flexible approach for qualitatively assessing railroad safety.

To achieve a system-based, micro-level analysis of end-of-track accidents and eventually promote the safety level of passenger stations, the systems-theoretic accident modeling and processes (STAMP), as a practical systematic accident model widely used in the complex systems, is developed in view of environmental factors, human errors, organizational factors and mechanical failures in this complex socio-technical system.

The developed STAMP accident model and analytical results qualitatively provide an explicit understanding of the system hazards, constraints and hierarchical control structure of train operations on terminating tracks in the US passenger stations. Furthermore, the safety recommendations and practical options related to obstructive sleep apnea screening, positive train control-based collision avoidance mechanisms, robust system safety program plans and bumping posts are proposed and evaluated using the STAMP approach.

The findings from STAMP-based analysis can serve as valid references for policymakers, government accident investigators, railway practitioners and academic researchers. Ultimately, they can contribute to establishing effective emergent measures for train operations at passenger stations and promote the level of safety necessary to protect the public. The STAMP approach could be adapted to analyze various other rail safety systems that aim to ultimately improve the safety level of railroad systems.

Since the development of antipsychotic drugs in the 1950s, a variety of studies and case reports have been published that suggest an association between exposure to typical antipsychotics and venous thromboembolisms (VTE). Therefore, when starting treatment with antipsychotics, especially low-potency typical antipsychotics and clozapine, health-care providers must account for the patient’s existing VTE risk factors.

In this case report, the authors describe the development of a pulmonary embolism associated with use of chlorpromazine in the treatment of an acute manic episode in a 51-year-old female patient with bipolar disorder type 1.

The patient was brought to the emergency room by the police on a legal hold for bizarre behaviors at a bus stop, which included incessantly yelling at bystanders. The patient was found to have disorganized thoughts, poor sleep, rapid speech, labile mood, distractibility, auditory hallucinations and grandiose delusions. During the course of her stay, the patient received extensive IM chlorpromazine for extreme agitation, in addition to chlorpromazine 200 mg IM Q8H, which was later decreased to chlorpromazine 100 mg chlorpromazine IM/PO Q8H. On day 4 of the treatment, the patient experienced difficulty breathing, hypoxia and tachycardia and was found to have bilateral expiratory wheezes. CT angiography showed sub-segmental pulmonary embolus and the patient was transferred to MICU service. The patient was then intubated and started on heparin by the medical team. Over the course of the next day, her respiratory distress resolved and the patient was extubated.

It is possible that chlorpromazine may indeed increase VTEs, and there are various physiological postulations regarding the mechanism of action. However, multiple confounding variables existed in the authors’ report, including venous stasis and the use of restraints, tobacco and valproic acid. Each of these variables has been shown to increase VTE occurrence. Further controlled studies are necessary to identify the true relationship between antipsychotics and VTEs.

Crowdfunding (CF) is a digital-financial innovation that, bypassing credit crisis, bank system rigidities and constraints of the capital market, is allowing new ventures and established companies to get the needed funds to support innovations. After one decade of research, mainly focused on relations between variables and outcomes of the CF campaign, the literature shows methodological lacks about the study of its overall behavior. These reflect into a weak theoretical understanding and inconsistent managerial guidance, leading to a 27% success ratio of campaigns. To bridge this gap, this paper embraces a “complex system” perspective of the CF campaign, able to explore the system's behavior of a campaign over time, in light of its causal loop structure.

By adopting and following the document model building (DMB) methodology, a set of 26 variables and mutual causal relations modeled the system “Crowdfunding campaign” and a data set based on them and crafted to model the “Crowdfunding campaign” with a causal loop diagram. Finally, system archetypes have been used to link the causal loop structure with qualitative trends of CF's behavior (i.e. the raised capital over time).

The research brought to 26 variables making the system a “Crowdfunding campaign.” The variables influence each other, thus showing a set of feedback loops, whose structure determines the behavior of the CF campaign. The causal loop structure is traced back to three system archetypes, presiding the behavior in three stages of the campaign.

The value of this paper is both methodological and theoretical. First, the DMB methodology has been expanded and reinforced concerning previous applications; second, we carried out a causation analysis, unlike the common correlation analysis; further, we created a theoretical model of a “Crowdfunding Campaign” unlike the common empirical models built on CF platform's data.