Auditing Fair Value Measurements: A Synthesis of Relevant Research

2006 ◽  
Vol 20 (3) ◽  
pp. 287-303 ◽  
Author(s):  
Roger D. Martin ◽  
Jay S. Rich ◽  
T. Jeffrey Wilks
Keyword(s):  
Decision Making ◽  
Fair Value ◽  
Two Dimensions ◽  
Judgment And Decision Making ◽  
Future Research ◽  
Relevant Research ◽  
Research Directions ◽  
Academic Literature ◽  
Future Research Directions ◽  
Fair Value Measurements

To contribute to the PCAOB project on auditing fair value measurements (FVMs), we synthesize relevant academic literature to offer insights, conclusions, and future research directions for auditors, standard-setters, and academics focusing on auditing FVMs. We structure our synthesis along two dimensions: (1) an emphasis on the auditor's need to understand how FVMs are prepared, and (2) the audit steps and procedures necessary to verify and attest to FVMs, including an awareness of the potential biases inherent in auditing FVMs. Drawing primarily from the judgment and decision-making literature, we highlight a number of potential biases and limitations in the preparation and audit of FVMs. Additionally, we note that the specialized valuation knowledge necessary to effectively audit FVMs will be difficult for auditors to gain and maintain.

Job Apathy

2015 ◽  
Vol 25 (3) ◽  
pp. 484-501 ◽  
Author(s):  
Gordon B. Schmidt ◽  
Guihyun Park ◽  
Jessica Keeney ◽  
Sonia Ghumman
Keyword(s):  
Employee Engagement ◽  
The United States ◽  
Two Dimensions ◽  
Popular Media ◽  
Incremental Validity ◽  
Future Research ◽  
Research Directions ◽  
Personal Initiative ◽  
Future Research Directions ◽  
Practical Implications

Work anecdotes and popular media programs such as Office Space, The Office, and Dilbert suggest that there are a number of workers in the United States who feel a sense of apathy toward their workplace and their job. This article develops these ideas theoretically and provides validity evidence for a scale of job apathy across two studies. Job apathy is defined as a type of selective apathy characterized by diminished motivation and affect toward one’s job. A scale of job apathy was developed and data from a sample of currently or recently employed college students supported two dimensions: apathetic action and apathetic thought. Job apathy was found to be empirically distinct from clinical apathy, negative affectivity, cynicism, and employee engagement. Job apathy was also found to have incremental validity in the prediction of personal initiative, withdrawal, and organizational deviance. Practical implications and future research directions for job apathy are discussed.

Central Language Hypothesis in the Decision-Making Process

2016 ◽  
pp. 66-83 ◽  
Author(s):  
Duygu Buğa
Keyword(s):  
Decision Making ◽  
Theoretical Framework ◽  
Future Research ◽  
Limbic Cortex ◽  
Decision Making Process ◽  
Discussion Section ◽  
Research Directions ◽  
Additional Information ◽  
Future Research Directions ◽  
The Brain

The purpose of this chapter is to explore the potential connection between neuroeconomics and the Central Language Hypothesis (CLH) which refers to the language placed within the subconscious mind of an individual. The CLH forwards that in the brains of bilingual and multilingual people, one language is more suppressive as it dominates reflexes, emotions, and senses. This central language (CL) is located at the centre of the limbic cortex of the brain. Therefore, when there is a stimulus on the limbic cortex (e.g., fear, anxiety, sadness), the brain produces the central language. The chapter begins with an Introduction followed by a Theoretical Framework. The next section discusses the neurolinguistic projection of the central language and includes the survey and the results used in this study. The Discussion section provides additional information regarding the questionnaire and the CLH, followed by Future Research Directions, Implications, and finally the Conclusion.

Decision Making Under Uncertainty and Risks in the Face of Rapidly Advancing Technologies

2019 ◽  
pp. 38-56
Author(s):  
Vicente González-Prida Díaz ◽  
Jesus Pedro Zamora Bonilla ◽  
Pablo Viveros Gunckel
Keyword(s):  
Decision Making ◽  
Social Perception ◽  
Industry 4.0 ◽  
Future Research ◽  
Risk And Uncertainty ◽  
Research Directions ◽  
The Face ◽  
Future Research Directions ◽  
Key Aspects ◽  
Reduction Of Uncertainty

This chapter aims to consider the effects of the new concept Industry 4.0 on decision making, particularly on the reduction of uncertainty and the risk associated with any choice between alternatives. For this purpose, this chapter begins by dealing with the concepts of risk and uncertainty and their epistemological evolution. After observing certain trends and recent studies in this regard, the authors address a more philosophical perception of risk, mainly on aspects related to engineering and social perception. The concept of human reliability will also be reviewed and how it can be improved with the application of emerging technologies, considering some methodological proposals to improve the decision making. After that, some of the possible future research directions will be briefly discussed. Finally, the chapter concludes by highlighting key aspects of the chapter as a context for other chapters in the book.

scholarly journals Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development

2020 ◽  
Vol 13 (3) ◽  
pp. 795-848
Author(s):  
Alina Köchling ◽  
Marius Claus Wehner
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Current Knowledge ◽  
Future Research ◽  
Journal Articles ◽  
Research Directions ◽  
Current State ◽  
Management Context ◽  
Future Research Directions ◽  
State Of Research

AbstractAlgorithmic decision-making is becoming increasingly common as a new source of advice in HR recruitment and HR development. While firms implement algorithmic decision-making to save costs as well as increase efficiency and objectivity, algorithmic decision-making might also lead to the unfair treatment of certain groups of people, implicit discrimination, and perceived unfairness. Current knowledge about the threats of unfairness and (implicit) discrimination by algorithmic decision-making is mostly unexplored in the human resource management context. Our goal is to clarify the current state of research related to HR recruitment and HR development, identify research gaps, and provide crucial future research directions. Based on a systematic review of 36 journal articles from 2014 to 2020, we present some applications of algorithmic decision-making and evaluate the possible pitfalls in these two essential HR functions. In doing this, we inform researchers and practitioners, offer important theoretical and practical implications, and suggest fruitful avenues for future research.

Emergency inventory management for disasters—A review

2016 ◽  
Vol 12 (4) ◽  
pp. 269 ◽  
Author(s):  
Eren Erman Ozguven, PhD ◽  
Kaan Ozbay, PhD
Keyword(s):  
Inventory Management ◽  
Classification Scheme ◽  
Future Research ◽  
Research Directions ◽  
Related Literature ◽  
Academic Literature ◽  
Critical Issues ◽  
Comprehensive Search ◽  
Future Research Directions ◽  
Delivery Options

There has been a recent surge in the publication of academic literature examining various aspects of emergency inventory management for disasters. This article contains a timely literature review of these studies, beginning with an exposition of the characteristics of storage and delivery options for emergency supplies, with a particular emphasis on the differences between emergency inventories and conventional inventory management. Using a novel classification scheme and a comprehensive search of the inventory-related literature, an overview of the emergency inventory management studies is also presented. Finally, based on this extensive review, a discussion is presentedbased on the critical issues and key findings related to the emergency inventory management field, and include suggestions for future research directions.

scholarly journals Virtual bargaining: a theory of social decision-making

2014 ◽  
Vol 369 (1655) ◽  
pp. 20130487 ◽  
Author(s):  
Jennifer B. Misyak ◽  
Nick Chater
Keyword(s):  
Decision Making ◽  
Essential Element ◽  
Social Contexts ◽  
Future Research ◽  
Research Directions ◽  
Social Decision ◽  
Future Research Directions ◽  
Empirical Tests ◽  
Social Decision Making ◽  
Vast Range

An essential element of goal-directed decision-making in social contexts is that agents' actions may be mutually interdependent. However, the most well-developed approaches to such strategic interactions, based on the Nash equilibrium concept in game theory, are sometimes too broad and at other times ‘overlook’ good solutions to fundamental social dilemmas and coordination problems. The authors propose a new theory of social decision-making—virtual bargaining—in which individuals decide among a set of moves on the basis of what they would agree to do if they could openly bargain. The core principles of a formal account are outlined (vis-à-vis the notions of ‘feasible agreement’ and explicit negotiation) and further illustrated with the introduction of a new game, dubbed the ‘Boobytrap game’ (a modification on the canonical Prisoner's Dilemma paradigm). In the first empirical data of how individuals play the Boobytrap game, participants' experimental choices accord well with a virtual bargaining perspective, but do not match predictions from a standard Nash account. Alternative frameworks are discussed, with specific empirical tests between these and virtual bargaining identified as future research directions. Lastly, it is proposed that virtual bargaining underpins a vast range of human activities, from social decision-making to joint action and communication.

scholarly journals Desegregating HRM: A Review and Synthesis of Micro and Macro Human Resource Management Research

2002 ◽  
Vol 28 (3) ◽  
pp. 247-276 ◽  
Author(s):  
Patrick M. Wright ◽  
Wendy R. Boswell
Keyword(s):  
Two Dimensions ◽  
Future Research ◽  
Management Research ◽  
Significant Progress ◽  
Individual Group ◽  
Research Directions ◽  
Integrative View ◽  
Future Research Directions ◽  
Or Organization ◽  
Level Of Analysis

Since the early 1980s the field of HRM has seen the independent evolution of two independent subfields (strategic and functional), which we believe is dysfunctional to the field as a whole. We propose a typology of HRM research based on two dimensions: level of analysis (individual/group or organization) and number of practices (single or multiple). We use this framework to review the recent research in each of the four subareas. We argue that while significant progress has been made within each area, the potential for greater gains exists by looking across each area. Toward this end we suggest some future research directions based on a more integrative view of HRM. We believe that both areas can contribute significantly to each other resulting in a more profound impact on the field of HRM than each can contribute independently.

scholarly journals IMPLICATIONS OF BLOCKCHAIN AND TRANSPARENCY FOR BUSINESS SUSTAINABILITY: AN INTEGRATIVE REVIEW

2021 ◽  
Vol 22 (6) ◽  
Author(s):  
HEDWIK D. GIESEL ◽  
FARLEY S. M. NOBRE
Keyword(s):  
Web Of Science ◽  
Design Method ◽  
Future Research ◽  
Research Directions ◽  
Business Sustainability ◽  
Academic Literature ◽  
Advance Research ◽  
Future Research Directions ◽  
Analytical Frameworks ◽  
Method Approach

ABSTRACT Purpose: Blockchain protocol comprises several attributes, among which transparency stands out. In this vein, the purpose of this article is to advance research on the implications of transparency (as derived from the use of blockchain) for business sustainability (BS). Originality/value: There is continuing interest in applying blockchain for creating and improving transparency, with this latter representing a strategic asset in BS. However, despite advancing this subject, the literature still lacks studies that explain the organizational circumstances in which blockchain can enable progress on transparency in the scope of BS. Design/method/approach: The methodology involved an integrative literature review on blockchain, transparency, and BS, and it was conducted with the support of Web of Science and Scopus to attend the research objective. Findings: The results favored the proposal of two analytical frameworks: one refers to the concepts of blockchain and transparency presented by the academic literature, and the other to the benefits of blockchain and transparency for the economic, social, and environmental BS dimensions. Furthermore, discussions involved deducing propositions about the use of blockchain to improve transparency in the BS context. The propositions open future research directions to studies that aim to test them qualitatively or quantitatively.

Applying Info-Gap Theory to Remanufacturing Process Selection Affected by Severe Uncertainty

2007 ◽  
Author(s):  
Scott J. Duncan ◽  
Christiaan J. J. Paredis ◽  
Bert Bras
Keyword(s):  
Decision Making ◽  
Critical Level ◽  
Future Research ◽  
Decision Strategy ◽  
Process Selection ◽  
Research Directions ◽  
Information Gap ◽  
Future Research Directions ◽  
Severe Uncertainty ◽  
Design Scenario

In this article, Information-Gap Decision Theory (IGDT), an approach to robust decision making under severe uncertainty, is applied to decisions about a remanufacturing process. IGDT is useful when only a nominal estimate is available for an uncertain quantity; the amount that estimate differs from the quantity’s actual value is not known. The decision strategy in IGDT involves maximizing robustness to uncertainty of unknown size, while still guaranteeing no worse than some “good enough” critical level of performance, rather than optimal performance. The design scenario presented involves selecting the types of technologies and number of stations to be used in a remanufacturing process. The profitability of the process is affected by severe uncertainty in the demand for remanufactured parts. Because nothing is know about demand except an estimate based on a different product from a previous year, info-gap theory will be used to determine an appropriate tradeoff between performance and robustness to severe uncertainty. Which design is most preferred is seen to switch depending on choice of critical performance level. Implications of findings, as well as future research directions, are discussed.

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