Probation Officers, Discretion, and Participatory Management

Author(s):  
Lynnea Davis ◽  
P. J. Houston ◽  
Danielle S. Rudes

Probation officers (POs) are perhaps the correctional workers with the greatest reach, since more people are under probation supervision relative to every other correctional branch (i.e., jail, prison, and parole). The individuals under probation supervision and the community-at-large depend on POs to do their job well. However, POs have a job that requires them to make numerous decisions within an organization with conflicting goals and ambiguous roles, often with great discretionary power and little oversight. This relatively autonomous discretionary power often produces racial disparities in probation outcomes, the misuse of evidence-based tools such as risk and needs assessments, and ultimately the inability of probation organizations to effectuate change. These effects have negative consequences for probation organizations, probationers, and POs themselves. Participatory management produces an organizing framework that calls for hierarchical organizations to take a balanced approach to decision-making by increasing information sharing throughout the organizational hierarchy. This organizational structure carries the potential to remedy these aforementioned problems. By increasing oversight and accountability for POs via participatory management, POs’ discretionary power may be managed without limiting decision-making. Participatory management may create additional benefits such as increasing the efficiency of probation organizations, improving client outcomes for probationers, and increasing occupational satisfaction for POs. There are numerous potential threats to participatory management and several solutions for overcoming them. The main solution calls on probation agencies to make participatory management as effective as possible by constructing an equal balance between a loosely and tightly coupled organizational implementation of policies and practices.

2021 ◽  
Vol 2 (2) ◽  
pp. 263178772110046
Author(s):  
Vern L. Glaser ◽  
Neil Pollock ◽  
Luciana D’Adderio

Algorithms are ubiquitous in modern organizations. Typically, researchers have viewed algorithms as self-contained computational tools that either magnify organizational capabilities or generate unintended negative consequences. To overcome this limited understanding of algorithms as stable entities, we propose two moves. The first entails building on a performative perspective to theorize algorithms as entangled, relational, emergent, and nested assemblages that use theories—and the sociomaterial networks they invoke—to automate decisions, enact roles and expertise, and perform calculations. The second move entails building on our dynamic perspective on algorithms to theorize how algorithms evolve as they move across contexts and over time. To this end, we introduce a biographical perspective on algorithms which traces their evolution by focusing on key “biographical moments.” We conclude by discussing how our performativity-inspired biographical perspective on algorithms can help management and organization scholars better understand organizational decision-making, the spread of technologies and their logics, and the dynamics of practices and routines.


2012 ◽  
Vol 20 (6) ◽  
pp. 1142-1151 ◽  
Author(s):  
Andrea Bernardes ◽  
Greta Cummings ◽  
Yolanda Dora Martinez Évora ◽  
Carmen Silvia Gabriel

OBJECTIVE: This study aims to address difficulties reported by the nursing team during the process of changing the management model in a public hospital in Brazil. METHODS: This qualitative study used thematic content analysis as proposed by Bardin, and data were analyzed using the theoretical framework of Bolman and Deal. RESULTS: The vertical implementation of Participatory Management contradicted its underlying philosophy and thereby negatively influenced employee acceptance of the change. The decentralized structure of the Participatory Management Model was implemented but shared decision-making was only partially utilized. Despite facilitation of the communication process within the unit, more significant difficulties arose from lack of communication inter-unit. Values and principals need to be shared by teams, however, that will happens only if managers restructure accountabilities changing job descriptions of all team members. CONCLUSION: Innovative management models that depart from the premise of decentralized decision-making and increased communication encourage accountability, increased motivation and satisfaction, and contribute to improving the quality of care. The contribution of the study is that it describes the complexity of implementing an innovative management model, examines dissent and intentionally acknowledges the difficulties faced by employees in the organization.


2021 ◽  
Vol 34 (1) ◽  
pp. 12-22
Author(s):  
Hon. Nancy Gertner ◽  
Dr. Judith Edersheim ◽  
Dr. Robert Kinscherff ◽  
Cassandra Snyder

On the federal level, judicial education in sentencing has been focused primarily on preparing judges to calculate and apply the Federal Sentencing Guidelines. But in an advisory guidelines context, making individualized assessments in drug cases requires education in the science of addictions, the drivers of behavior, and the prospects for behavior change when substances are involved. Neuroscience and the sciences of human behavior provide clarifying insight into substance-driven behaviors and cognitions that are routinely encountered in federal drug cases. These disciplines support individualized sentencing by shedding new light on the nature of inhibitory control, the reasonable expectations for relapse, and the distinctions that can be drawn based on science between different treatment interventions. In this Article, we report on the Workshop on Science-Informed Decision Making, an education initiative in the federal judiciary. Since 2016, it has provided education in neuroscience and behavioral science, as well as skills training in individualizing sentences using insights from that science, to U.S. district judges, magistrate judges, and pretrial services and probation officers in thirty-two federal districts. We describe the case-study-based instructional approach of the workshop, including some of the misconceptions about addiction behavior it addresses, and explain why we believe that this kind of education helps federal judges, and pretrial services and probation officers, craft more responsive sentencing decisions and recommendations.


2021 ◽  
pp. 026455052110415
Author(s):  
Ebony Ruhland ◽  
Esther Scheibler

Probation is a sentence served in the community and includes a number of supervision conditions. If the conditions are violated, individuals could receive a sanction, including revocation. Not every violation, however, may receive a consequence. Probation officers have discretion for how they manage individuals on the caseloads. This study used qualitative data from two departments in a MidWest state in the United States, one rural and one urban, to explore officer decision-making in supervision. It is critical to examine these factors due to the high number of individuals revoked from probation each year. The study findings illustrate the factors officers use in monitoring conditions, as well as in violations and revocations.


1996 ◽  
Vol 9 (1) ◽  
pp. 22-27 ◽  
Author(s):  
Kevin Brazil ◽  
Malcolm Anderson

As fiscal pressures mount, health-planning and decision-making at smaller geographics scales must be more effective. Involving local constituents in needs assessments, it is believed, would lead to better identification and serving of regional demands and needs for health services. This article examines needs assessment as a tool to determine a community's service needs and establish priorities for the creation of programs. Various approaches used in needs assessments are described, including survey methods, structured groups and geographic information systems.


Curationis ◽  
2015 ◽  
Vol 38 (2) ◽  
Author(s):  
J.P.F. Masemola-Yende ◽  
Sanah M. Mataboge

Background: The increase in the number of teenage pregnancies and its negative consequences has encouraged various researchers to explore the possible causes of teenage pregnancy. Findings from previously-conducted research have indicated different preventable factors that predispose female teenagers to pregnancy, such as staff attitudes and the lack of information resulting from poor access to health facilities.Objective: To explore and describe access to information and decision making on teenage pregnancy prevention by females using a primary healthcare clinic in Tshwane, South Africa.Method: In this study, the researchers used a descriptive qualitative and exploratory research design to explore and describe the verbal reports regarding prevention of teenage pregnancy by females using a primary healthcare clinic in Tshwane, South Africa. Face-to-face semistructured interviews were conducted with 15 female participants aged between 15 and 26, who had been pregnant once or more during their teens.Results: Two themes emerged, namely, access to information and decision making by female teenagers. Five categories that emerged were: access to information on pregnancy prevention; ignoring of provided information; the use of alternative medicine with hormonal contraception; personal reasons for use and non-use of contraception; and decisions made by teenagers to not fall pregnant. Females in this study fell pregnant in their teens, even though they had access to information.Conclusion: Given the complexity of this problem, female teenagers should use their families as primary sources of information for reproductive health promotion and educational institutions should build on this to aid the prevention of teenage pregnancy.


Author(s):  
Constantin Bratianu

Abstract The purpose of this paper is to analyze the limitations induced in Knowledge Management by the processes of linearization and discretization, which happen frequently in decision-making. Linearization is a result of applying linear thinking models in decision-making, regardless of the complexity of knowledge management phenomena. Knowledge and all the other intangible resources are nonlinear entities and they should be evaluated with nonlinear metrics. However, in many situations managers use simple solutions based on linear thinking models and get large errors in their decision-making, with significant negative consequences in management. Also, linear thinking model is dominant in legislation, which may lead to significant errors in managerial decision-making. Discretization is a process in which an entity with a continuous representation, like a knowledge field, is transformed into a piecewise entity to be handled more easily. Also, social media uses discretized systems for different evaluations which should be interpreted accordingly. For instance, counting the number of “like” on Facebook for a certain message or image may lead to the conclusion that friendship is proportional with the number of “friends”, which might not be in concordance with reality. Knowledge management is a complex activity dealing with knowledge, which means nonlinear entities. Using linear thinking models and discretization methods in evaluations and decision-making may lead to significant errors and negative consequences.


Author(s):  
Iryna Debela

One of the main tasks of the decision support theory is the study of methods and tools for solving the problem of minimizing the negative consequences and risks in choosing strategic directions for the development of the studied system - the object of management. The formal algorithm of the optimization in conditions of the decision-making process stochastic uncertainty, and realization of steady states in system is investigated. The purpose of the algorithm model is to provide the predicted dynamics, compensation of structural, parametric uncertainty of the control system. The ambiguity of the choice the alternative solutions and as a consequence - the inadequacy of the mathematical model, due to the significant amount of stochastic and functional relationships, different ways of presenting input data, the impossibility formalizing the studied processes. Solutions in conditions of partial or complete uncertainty can be found by searching for elements of a set the alternatives, each of which with some probability may be the optimal solution. If statistical observations of the studied object or management process are incomplete, insufficiently formalized, or impossible at all, then the uncertainty of the decision to predict the directions of their possible development is clear. The decision-making process in conditions of uncertainty is proposed to be divided into stages: specification and formalization of the decision-making model; choice methods and algorithms for constructing alternatives taking into account the peculiarities of the chosen decision-making model. Parametric uncertainty is described as an interval estimate of possible values of the studied parameter. The interval can be strictly limited by numerical values, or with not clear limits - descriptive qualitative variables. Modeling of the control process in conditions of stochastic uncertainty is based on the definition of the object under study as a complex system. A promising area of research on this topic is a mathematical description of the value distribution function within the interval, which can be formalized on the basis of expert estimates, or as a heuristic probability distribution function of unpredictable events.


Author(s):  
Tomita Ciulei

The chapter aims to decipher some aspects (of form and content) of the codes of ethics that are present and in force within the representative academic communities in Romania. The main thesis is that in the Romanian university system there is still no unitary practice in respecting the norms of academic conduct, on the background of implicit university autonomy, which can explain some negative consequences recorded throughout the social life, from the pre-university education system to the decision-making structures.


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