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Many offenders struggle when attempting to reintegrate into society after release from prison, and the conditions they face after release often lead to reoffending. The purpose of this paper is to present a conceptual model on reintegration after prison. The model has the potential to guide practitioners in their understanding of the relationships between welfare services and the agency of the offender.

The model was developed from a small-scale study in the Norwegian Criminal Justice system, which is well known for its emphasis on rehabilitation and crime prevention. Data collection aimed to explore the reintegration process from the perspective of the hard-to-reach and vulnerable population of serial offenders. Nine prisoners in two different prisons were interviewed. A thematic analysis identified two main themes that related, first, to the personal challenges the offenders faced in the rehabilitation and reintegration process and, second, to the factors in the welfare services that interacted with the prisoners’ psychosocial issues in the reintegration process.

Findings suggest that the interaction between the psychosocial needs of the prisoners and the organization of the welfare services is complex and does not harmonize. The findings underpin the argument that the current reintegration strategies for certain groups of inmates need to be questioned and challenged.

The model is a conceptual model intended to provide a lens from which to reinterpret offenders’ experiences of reintegration and applied to only the small and exploratory study described in this paper. As such, it requires further testing and substantiation, and the model and the study’s findings should be regarded as tentative and cannot be generalized to a larger population. The prisoners were selected by the first author for convenience, and it is possible that this also influenced the findings. Other inmates may have presented other experiences.

There are few studies looking into reintegration from the reoffenders’ perspective, and this study also presents a model that serves as a reflective and analytical tool to developing new approaches to supporting offenders in their reintegration into society from prison in the future.

Prior studies have extensively explored individual examples of unethical behavior in sales organizations but focused little on repeated violation (RV) of ethical codes, particularly when managers develop salesforces. Based on social learning theory (SLT), the authors propose a multilevel model of RV antecedents and suggest that organizational influence (social cues and modeling) and individual factors (observer characteristics and behavioral outcomes) affect RV, especially with increasing recruitment of salespeople.

Using data from a leading financial company in Taiwan, the authors analyzed 1,231 records of salespeople’s misbehavior through logistic regression and average marginal effects.

Modeling in the organization (i.e. peer misconduct), observer characteristics (i.e. experience concerning job tenure and prior violations) and behavioral outcomes (i.e. information concealment violations) were all found to affect the likelihood of RV, and the interactional effect of organizational size was confirmed.

This study contributes to ethical decision-making theory by explaining aspects of RV through SLT. Its multilevel model, integrated with organizational strategy theories, adds an SLT-focused paradigm into unethical behavior research by considering vicarious learning and self-learning, alongside the reciprocal determinism of cognition, behavior, and environment.

Managers should consider socially based patterns of violation when initiating a sales business plan. The chances of RV are increased by unethical models in the organization and offenders’ potential for violations, which is reinforced by social environment.

This study clarified the key drivers of RV decision-making using SLT and identified an effective sales development strategy to maintain an ethically responsible salesforce.

The purpose of this paper is to assess whether mental health symptoms affect one-year reoffending rates upon release from prison for participants engaging in substance dependence treatment in the UK.

A retrospective cohort study was used to assess reconviction outcomes upon release. The Comprehensive Addiction and Psychological Evaluation (CAAPE) was administered to 667 inmates admitted to the programme. The effect of mental health, drug use, and static risk factors on reoffending was assessed at one-year post release.

Logistic regression analysis showed that symptoms of Major Depressive Disorder at the start of substance dependence treatment increased the likelihood to reoffend, whilst Obsessive Compulsive Disorder symptoms and length of sentence decreased the likelihood to reoffend. Antisocial Personality Disorder symptoms show a trend towards increasing the likelihood to reoffend. In addition, previously established risk factors for reoffending, including dependence on heroin, crack/cocaine, and poly drug use significantly increased the likelihood of reconviction.

Depressive symptomatology pre-treatment could affect reoffending outcomes for participants in substance dependence treatment in prison. An integrative approach addressing both substance misuse and mental health factors is pivotal. Future efforts to address both simultaneously can be made to improve assessment, training, treatment, and through care for prisoners in substance dependence treatment.

Few studies have assessed the effect of mental health factors on reoffending outcomes for offenders in substance dependence treatment. A large sample was studied in an understudied population of UK prisoners in substance dependence treatment. The results have implications for clinical settings where mental health symptoms are not addressed concurrently with substance dependence. This finding can inform policy makers and practitioners who provide substance dependence treatment in prison.

The purpose of the paper is to investigate how judges and the general population formulate judgments on legal cases, considering both legal and extralegal factors, with a focus on the significance of the defendant’s sex.

The first experiment aimed to determine if non-lawyers’ judgments are affected by the defendant’s sex, using brief excerpts from indictments with the defendant’s sex interchanged. Study 2 aimed to verify if this effect applies to future lawyers, suggesting a peculiar approval granted by men to women displaying illegal sexual behaviour towards young men.

The findings showed that the sex of the offender only influenced judgments in sexual offences, with male participants being more lenient towards female offenders.

The originality/value of the paper lies in its examination of the influence of the defendant’s sex on judgments made by both judges and the general population, specifically focussing on non-lawyers’ judgments. While previous studies have shown that judges tend to be more lenient towards women in certain cases, this paper adds novelty by investigating whether a similar effect is observed among non-lawyers. Moreover, the research sheds light on the relevance of the defendant's sex in cases of sexual offences and identifies a gender-specific leniency towards female offenders, particularly among male participants. The study also explores how this effect might extend to future lawyers, providing insights into societal attitudes regarding illegal sexual behaviour involving women and young men. Overall, the paper contributes valuable information to the understanding of how sex-based biases can influence legal judgments and decision-making processes.

The purpose of this paper is to consolidate and evaluate the available research on animal abuse recidivism.

A narrative review of the animal abuse literature was conducted. Articles were included if they provided data/estimates of the rates of recidivism, findings regarding the static, dynamic and/or protective factors associated with animal abuse recidivism and available risk assessment tools, specifically for use with individuals who have a history of animal abuse.

The literature review highlighted high rates of reoffending amongst those who have harmed animals. Many risk and protective factors associated with animal abuse were common to the wider offending behaviour literature (e.g. antisocial attitudes, relationship issues), but more robust research is needed to highlight any distinct characteristics. Lastly, the review reports two risk assessment tools designed specifically for this offending group.

Clinicians and criminal justice personnel base their sentencing, detention and treatment decisions, at least in part, on the recidivism literature. This review provides a consolidation of the evidence base as an aide memoire for practitioners.

History of animal abuse is a risk factor for future animal harm specifically, and interpersonal violence more broadly. To the best of the authors’ knowledge, this is the first literature review that presents the key research evidence on risk/protective factors and relevant risk assessment tools that can inform intervention planning to reduce risk of reoffending towards animals and humans alike when practitioners encounter clients who have a history of harming animals.

This case is designed to enable students to understand the role of women in artificial intelligence (AI); understand the importance of ethics and diversity in the AI field; discuss the ethical issues of AI; study the implications of unethical AI; examine the dark side of corporate-backed AI research and the difficult relationship between corporate interests and AI ethics research; understand the role played by Gebru in promoting diversity and ethics in AI; and explore how Gebru can attract more women researchers in AI and lead the movement toward inclusive and equitable technology.

The case discusses how Timnit Gebru (She), a prominent AI researcher and former co-lead of the Ethical AI research team at Google, is leading the way in promoting diversity, inclusion and ethics in AI. Gebru, one of the most high-profile black women researchers, is an influential voice in the emerging field of ethical AI, which identifies issues based on bias, fairness, and responsibility. Gebru was fired from Google in December 2020 after the company asked her to retract a research paper she had co-authored about the pitfalls of large language models and embedded racial and gender bias in AI. While Google maintained that Gebru had resigned, she said she had been fired from her job after she had raised issues of discrimination in the workplace and drawn attention to bias in AI. In early December 2021, a year after being ousted from Google, Gebru launched an independent community-driven AI research organization called Distributed Artificial Intelligence Research (DAIR) to develop ethical AI, counter the influence of Big Tech in research and development of AI and increase the presence and inclusion of black researchers in the field of AI. The case discusses Gebru’s journey in creating DAIR, the goals of the organization and some of the challenges she could face along the way. As Gebru seeks to increase diversity in the field of AI and reduce the negative impacts of bias in the training data used in AI models, the challenges before her would be to develop a sustainable revenue model for DAIR, influence AI policies and practices inside Big Tech companies from the outside, inspire and encourage more women to enter the AI field and build a decentralized base of AI expertise.

This case is meant for MBA students.

Teaching Notes are available for educators only.

CCS 11: Strategy

The prison population in England and Wales has risen dramatically in recent years and rates of reoffending following release are, at best, disappointing. This article considers some of the evidence in relation to what is going wrong and how resettlement for prisoners might be made more effective. Ultimately, however, the expansion in the custodial population mitigates the potential to reduce recidivism. An argument is made for a justice reinvestment approach similar to that advocated by the House of Commons Justice Committee.

This study is concerned with the institutional value dimension in recent accounting research into hybrids and hybridity. Such research has been cognitively oriented and neglected the affective and emotional qualities of the values in which institutions are grounded. This study assumes that organisational members use accounting for instrumental reasons conditioned by objective facts. This study aims to offer new impetus to this literature by taking seriously the nature of institutional value.

Essay combined with discussion of published work.

Cognitive misinterpretations of institutional value underplay the force of institutions. One acts upon these not as a matter of cognitive choice but because of beliefs in deeply held values. In the extreme, the value possesses the actor not vice versa. However, because institutional values are ideal and abstract, they can never be fully and incontrovertibly achieved in practice. Certain practices, such as accounting, can come to stand in for the pursuit of the institutional value. In particular contexts, practicing accounting can come to be regarded as pursing institutional values, which makes it an institutional object.

The explication of accounting as an institutional object can show the potential significance of accounting for institutional values, including hybrid values.