An Analysis of Trust, Employee Trustworthiness, Fraud, and Internal Controls

2013 ◽  
Vol 4 (3) ◽  
pp. 66-89
Author(s):  
Sanjay Kumar ◽  
Ashutosh Deshmukh ◽  
Jiangxia Liu ◽  
Kathryn E. Stecke

We analyze important strategic relationships among trust, employee trustworthiness, fraud, and internal controls. A game is modeled between a manager and an employee, two rational decision makers. The manager makes control decisions based on the strength of controls and on employee trustworthiness, which are modeled as functions of monetary and psychic costs and benefits of committing and not committing fraud. We propose a rich definition of trustworthiness that incorporates an employee’s propensity to commit fraud and sensitivity to controls. Equilibrium strategies are identified that could be used to determine the best strategy and the optimum strength of controls to use by identifying trustworthy, untrustworthy, and opportunistically trustworthy employees. A relationship of trustworthiness with a probabilistic choice of controls by the manager is established. As the strength of controls increases, the trustworthiness of the employees also increases, but a minimum critical level of trustworthiness is required to make controls effective. A high level of control may be needed to deter fraud. Also, this increase in trustworthiness does not translate to a proportional reduction of controls by the manager. We caution against excessive investments in internal controls. A low strength control with high probability of controls may be a cost effective way to deter fraud. We also explore the interaction of controls strength with the losses to the manager when fraud is committed. We find that control is not always a viable strategy. Optimal payoffs indicate that, unlike simultaneous decision making, under sequential decision making, the manager’s best strategy is to choose controls and auditing an employee. Policy implications and managerial insights of these findings are discussed.

2020 ◽  
Vol 35 (4) ◽  
pp. 1177-1199
Author(s):  
Taozhi Zhuang ◽  
Queena K. Qian ◽  
Henk J. Visscher ◽  
Marja G. Elsinga

Abstract In China, there is a growing number of urban renewal projects due to the rapid growth of the economy and urbanization. To meet the needs of urban development, urban renewal requires a sound decision-making approach involving various stakeholder groups. However, current urban renewal decision-making is criticized for poor efficiency, equity, and resulting in many unintended adverse outcomes. It is claimed that high-level transaction costs (e.g., a great deal of time spent on negotiation and coordination) are the factors hidden behind the problems. However, few studies have analyzed urban renewal decision-making in a transaction costs perspective. Using the case of Chongqing, this paper aims at adopting transaction costs theory to understand the administrative process of urban renewal decision-making in China. This research focuses on four key stakeholder groups: municipal government, district government, local administrative organizations, and the consulting parties. A transaction costs analytical framework is established. First, the decision-making stages of urban renewal and involved key stakeholder groups are clarified. Second, the transactions done by different stakeholder groups in each stage is identified, thus to analyze what types of transaction costs are generated. Third, the relative levels of transaction costs among different stakeholder groups were measured based on the interview. The empirical analysis reveals how transaction costs occur and affect urban renewal decision-making. Finally, policy implications were proposed to reduce transaction costs in order to enhance urban renewal.


Author(s):  
Rey Pocius ◽  
Lawrence Neal ◽  
Alan Fern

Commonly used sequential decision making tasks such as the games in the Arcade Learning Environment (ALE) provide rich observation spaces suitable for deep reinforcement learning. However, they consist mostly of low-level control tasks which are of limited use for the development of explainable artificial intelligence(XAI) due to the fine temporal resolution of the tasks. Many of these domains also lack built-in high level abstractions and symbols. Existing tasks that provide for both strategic decision-making and rich observation spaces are either difficult to simulate or are intractable. We provide a set of new strategic decision-making tasks specialized for the development and evaluation of explainable AI methods, built as constrained mini-games within the StarCraft II Learning Environment.


Author(s):  
Daoming Lyu ◽  
Fangkai Yang ◽  
Bo Liu ◽  
Daesub Yoon

Deep reinforcement learning (DRL) has gained great success by learning directly from high-dimensional sensory inputs, yet is notorious for the lack of interpretability. Interpretability of the subtasks is critical in hierarchical decision-making as it increases the transparency of black-box-style DRL approach and helps the RL practitioners to understand the high-level behavior of the system better. In this paper, we introduce symbolic planning into DRL and propose a framework of Symbolic Deep Reinforcement Learning (SDRL) that can handle both high-dimensional sensory inputs and symbolic planning. The task-level interpretability is enabled by relating symbolic actions to options. This framework features a planner – controller – meta-controller architecture, which takes charge of subtask scheduling, data-driven subtask learning, and subtask evaluation, respectively. The three components cross-fertilize each other and eventually converge to an optimal symbolic plan along with the learned subtasks, bringing together the advantages of long-term planning capability with symbolic knowledge and end-to-end reinforcement learning directly from a high-dimensional sensory input. Experimental results validate the interpretability of subtasks, along with improved data efficiency compared with state-of-the-art approaches.


2021 ◽  
Author(s):  
J. C. Cunha ◽  
J. Eric Bickel ◽  
Luis Mendoza ◽  
Jeremy Walker ◽  
Ellen Coopersmith ◽  
...  

Abstract This article aims to provide a guideline to better decision quality on multi-company upstream projects. The scope is to provide a high-level overview of what should be included in a decision quality process, when companies with different levels of ownership and influence on the decision-making process naturally tend to have different approaches towards risks and decision management. It is well known in our industry that there is a predominance of multicompany participation in these projects and the paper will provide guidelines that will ultimately provide better decision quality and participant's alignment. Normally high-risk upstream projects have multi-company ownership. However, it has been noticed that companies tend to face decision management differently, which causes unnecessary delays on budget approvals and even operational timeline. Procedures to normalize the definition of an initial decision frame and creation of solutions based on a good set of alternatives are paramount to facilitate discussions and drive final recommendations. In summary, companies’ alignment on decision-making processes is key to quality, speed, and effectiveness of those decisions and critical to project success. Alignment between partners on pivotal decisions can significantly improve project delivery. The main results are practical guidelines for generating (a) decision framing, (b) strategies, (c) alternatives and potential consequences, and (d) logical analysis, partners’ alignment and commitment to action.


2017 ◽  
Vol 13 (1) ◽  
pp. 22-38 ◽  
Author(s):  
Anna Arstein-Kerslake ◽  
Eilionóir Flynn

AbstractArticle 12 of the Convention on the Rights of Persons with Disabilities has created a revolution in legal-capacity law reform. It protects the right to exercise legal agency for people with disabilities with more clarity than any prior human rights instrument. This paper explores what constitutes an exercise of legal agency and what exactly Article 12 protects. It proposes a definition of legal agency and applies it to the lived experience of cognitive disability. It also uses a republican theory of domination to argue that people with cognitive disabilities who are experiencing domination are forced to assert legal agency in even daily decision-making because of the high level of external regulation of their lives and the ever-present threat of others substituting their decision-making. It identifies Article 12 as a tool for protecting such exertions of legal agency and curtailing relationships of domination.


Author(s):  
Zoltan Papp

ABSTRACT The result of ultrasound examinations depends heavily on the preparation of the personnel carrying out the examination and the technical capabilities of the equipment they use. Only wellorganized regional or national programs are able to provide high level, cost-effective care based on certification of quality. Such certification must include the training of professionals, the definition of competence levels, accreditation of laboratories and the establishment of professional protocols. The ultrasound examinations in Hungary are performed by obstetricians under the recommendation of the Hungarian Society of Ultrasound in Obstetrics and Gynecology and there are well defined levels and protocols of attendance. The different levels of attendance require proficiency at different levels and this requires regular training which is assured by the Society and gives a concern for all doctors and sonographers who perform ultrasound examinations and for all patients who receive them. The well organized quality assurance in obstetric and gynecologic ultrasound examinations is an essential dimension of high quality obstetric and gynecologic medical attendance. How to cite this article Belics Z, Papp Z. Quality Control of Obstetric and Gynecologic Ultrasound in Hungary: Education and Expectations. Donald School J Ultrasound Obstet Gynecol 2013;7(4):492-495.


Animals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3458
Author(s):  
Barbara Lutz ◽  
Sibylle Zwygart ◽  
Christina Rufener ◽  
Joan-Bryce Burla ◽  
Beat Thomann ◽  
...  

During the last years, the interest in data-based variables (DBVs) as easy-to-obtain, cost-effective animal welfare indicators has continued to grow. This interest has led to publications focusing on the relationship between DBVs and animal welfare. This review compiles 13 papers identified through a systematic literature search to provide an overview of the current state of research on the relationship between DBVs and dairy cow welfare at farm level. The selected papers were examined regarding their definition of animal welfare and classified according to this definition into three categories: (a) papers evaluating DBVs as predictors of animal welfare violations, (b) papers investigating the relationship between DBVs and animal-based measurements, and (c) papers investigating the relationship of DBVs to scores of welfare assessments like the Welfare Quality protocol or to overall welfare scores at farm level. In addition, associations between DBVs and indicators of animal welfare were extracted, grouped by the type of DBV, and examined for replications that may confirm the associations. All the identified studies demonstrated associations between DBVs and animal welfare. Overall, the first indications of a possible suitability of DBVs for predicting herds with animal welfare violations as well as good or poor animal welfare status were given. The evaluation of relationships between DBVs and animal-based measurements (ABMs) found mortality-based DBVs to be frequently associated with ABMs. However, owing to varying definitions of animal welfare, the use of different variants of DBVs, and different methods used to assess DBVs, the studies could only be compared to a limited extent. Future research would benefit from a harmonisation of DBVs and the use of valid measurements that reflect the multidimensionality of welfare. Data sources rarely investigated so far may have the potential to provide additional DBVs that can contribute to the monitoring of cow welfare at farm level.


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