Search results

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.

Gender bias in artificial intelligence (AI) should be solved as a priority before AI algorithms become ubiquitous, perpetuating and accentuating the bias. While the problem has been identified as an established research and policy agenda, a cohesive review of existing research specifically addressing gender bias from a socio-technical viewpoint is lacking. Thus, the purpose of this study is to determine the social causes and consequences of, and proposed solutions to, gender bias in AI algorithms.

A comprehensive systematic review followed established protocols to ensure accurate and verifiable identification of suitable articles. The process revealed 177 articles in the socio-technical framework, with 64 articles selected for in-depth analysis.

Most previous research has focused on technical rather than social causes, consequences and solutions to AI bias. From a social perspective, gender bias in AI algorithms can be attributed equally to algorithmic design and training datasets. Social consequences are wide-ranging, with amplification of existing bias the most common at 28%. Social solutions were concentrated on algorithmic design, specifically improving diversity in AI development teams (30%), increasing awareness (23%), human-in-the-loop (23%) and integrating ethics into the design process (21%).

This systematic review is the first of its kind to focus on gender bias in AI algorithms from a social perspective within a socio-technical framework. Identification of key causes and consequences of bias and the breakdown of potential solutions provides direction for future research and policy within the growing field of AI ethics.

The peer review history for this article is available at https://publons.com/publon/10.1108/OIR-08-2021-0452

Stereotypes are simplified and widely shared visions held by a social group regarding a place, object, event or recognizable set of people united by certain characteristics or qualities. They are “dangerous” mental models because they are widely disseminated, devious and capable of acting even unconsciously in individuals, social groups and organizations altering the rationality of assessments and choices and producing discrimination and prejudice. Stereotypes acritically extend from a characteristic of a significant percentage of a category to the totality of individuals. The process of generalization triggered by a stereotype produces the error of discrimination and prejudice. There are numerous forms of stereotypes, but this study takes into account gender stereotypes because they act pervasively, often subtly, to reduce “productivity”. People who are aware of being discriminated perceive an unsatisfactory fulfillment of their motivations, which reduces their incentive to improve their performance. Since productivity measures the efficient use of energy from working in production processes, the author believes that wherever gender stereotypes are at play, there is a productive “waste of energy”, an inefficiency in work activity with harmful effects for organizations of all kinds, including families.

The work aims to demonstrate that wherever gender stereotypes are at play, a “waste of energy” manifests itself in terms of productivity, representing an inefficiency in work activity with harmful effects for organizations of all kinds, including families. To describe the negative effects stereotypes produce in organizations, some models are presented based on the methods and language of systems thinking. These models, although typically qualitative, are capable of exploring the most accepted theories in the literature: tournament theory, the Pygmalion effect, the Galatea effect, self-fulfilling prophecies, the Queen bee syndrome, the role congruency theory, the glass ceiling theory (“think manager, think male” and “family responsibilities wall”). The paper follows a predominantly organizational and corporate approach, although the copious literature on stereotypes belongs largely to the area of social psychology and organization studies.

The paper does not consider the psychological origin of stereotypes but highlights their use as routines-shortcuts for evaluations and decisions demonstrating that, when adopted in social systems and within organisations, stereotypes produce different forms of discrimination: in social rights, in work, in careers and in access to levels of education and public services, reducing performance and limit potential. The paper also examines some ways gender and culture stereotypes can be opposed, presenting a change management strategy and some concrete solutions proposed by the process–structure–culture model for social change (PSC model).

The main limitation of the work is that it focuses on gender stereotypes, choosing not to consider the “intersection effect” of these with other stereotypes: racial stereotypes, religious stereotypes, color stereotypes, age stereotypes, sex and sexual orientation stereotypes, and many others, whose joint action can cause serious inefficiencies in organizational work.

As stereotypes are a component of social culture and are handed down, by use and example, from generation to generation, the maintenance over time of stereotypes used by individuals to evaluate, judge and act can be seen as an effect of the typical action of a combinatory system of diffusion, which can operate for a long time if not effectively opposed. Il PSC model indicates the strategy for carrying out this opposition.

With regard to gender stereotypes, it should be emphasized that in organizations and social systems, “gender diversity” should be considered an opportunity and not as a discriminating factor and thus encouraged by avoiding harmful discrimination. In fact, this diversity, precisely because of the distinctive characteristics individuals possess regardless of gender, can benefit the organization and lead to an increase in organizational and social performance. The United Nations 2030 Agenda for Sustainable Development (2020) Goal 5: Achieving gender equality and empowering all women and girls is examined in this context.

This study views the action of gender stereotypes as especially harmful “mental models”, highlighting the distortions they cause in the allocation of productive energy in society, groups and organizations. The paper follows a predominantly organizational and corporate approach, although the copious literature on stereotypes belongs largely to the area of social psychology. Using the “logic” and “language” of systems thinking, theories and models that describe and interpret the distorting effects of organizational choices based on stereotypes rather than rational analysis are highlighted. The action of stereotypes and their persistence over time can also be described using combinatory systems theory. With this paper, the author hopes that by acting on the three wheels of change highlighted by the PSC model, through legal provisions, control tools and actions on the culture operated by educational and social aggregative institutions, it should not be impossible to change the prevailing culture so that it becomes aware of the harmful influence of gender stereotypes and other discriminatory mental models and come to reject them. The author hopes this paper will help to understand the need to make this change.

Purpose – This chapter explores how select “evidence-based” police scholars act as gatekeepers to research opportunities, in Canada, thus impeding critical research that pertains to Black communities.

Methodology/Approach – Using the critical race method of counter-storytelling, the following narrative demonstrates how race and racism may play a role in the collection and dissemination of research that examines racial bias in Canadian policing. This methodology aims to refute the notion of critical objectivity, which is often used to promote the principles of evidence-based policing (EBP).

Findings – Findings suggest that through various powers and levels within both the policing and academic community, a select number of scholars have influence over Canadian policing research that explores racial bias and discrimination. As such, research that may help to develop effective and efficient policing programs to address racial bias, is thwarted.

Originality – No Canadian study explores anti-racist training programs or evaluates their effectiveness. This chapter demonstrates that this may be the result of gatekeeping. The following chapter provides insight into how this is done within EBP circles.

Service providers increasingly use conversational agents (CAs), such as chatbots, to effectively communicate with customers while managing interaction costs and providing round-the-clock customer service. Yet, the adoption and implementation of such agents in service contexts remains a hit-and-miss, and firms often struggle to balance their CAs implementation complexities and costs with relation to their service objectives, technology design and customer experiences. The purpose of this paper is to provide guidance on optimizing CA design, therefore, the authors develop a conceptual framework, TRISEC, that integrates service logic, technology design and customer experience to examine the implementation of CA solutions in search, experience and credence (SEC) contexts.

The paper draws on service marketing and communications research, combining the service context classification scheme of search, experience and credence and the technology infused service marketing triangle foci (service, technology and customer) in its conceptual development.

The authors find that an opportunity exists in recognizing the importance of context when designing CAs and aiming to achieve a balance between service objectives, technology design and customer experiences.

This study contributes to service management and communications research literature by providing interactive service marketing researchers with the highly generalizable TRISEC framework to aid in optimizing CA design and implementation in interactive customer communication technologies. Furthermore, the study provides an array of future research avenues. From a practical perspective, this study aims at providing managers with a means to optimize CA technology design while maintaining a balance between customer centricity and implementation complexity and costs in different service contexts.