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Journal articles on the topic 'Information and Times of Uncertainty'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Dane-Staples, Emily, and Stephen Gonzalez. "Employee Relations in Times of Uncertainty." Case Studies in Sport Management 10, no. 1 (2021): 25–36. http://dx.doi.org/10.1123/cssm.2021-0022.

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Sport managers are required to handle times of uncertainty by managing their employees effectively and working to ensure that the objectives of the organization can be maintained. This case follows the fictional Harrison Hornets AA baseball team through the COVID-19 pandemic and how their chief executive officer/chief operating officer, Rachel Chambers, manages the front office employees. The employer/employee interactions in this case demonstrate the challenges faced by managers attempting to balance things they can and cannot control. In working through the case, students become aware of con

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2

Očková, Katarína. "Tense Interactions in Times of Uncertainty." Lidé města 25, no. 2 (2023): 135–37. http://dx.doi.org/10.14712/12128112.4140.

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This thematic issue sheds light on navigations of otherness and relations of mistrust during times of uncertainty and insecurity. These often-tense interactions take many shapes and occur within, as well as across, boundaries set in terms of ethnicity, religion, kinship, gender, political ideology, citizenship status, health risk, and contagion. As the articles in this issue demonstrate, during such uncertain times, people search for ways to negotiate tensions surrounding the relationship between sameness and otherness (Bauman 2001). This involves navigating various challenges, especially when

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Torn, Ryan D., and Chris Snyder. "Uncertainty of Tropical Cyclone Best-Track Information." Weather and Forecasting 27, no. 3 (2012): 715–29. http://dx.doi.org/10.1175/waf-d-11-00085.1.

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Abstract With the growing use of tropical cyclone (TC) best-track information for weather and climate applications, it is important to understand the uncertainties that are contained in the TC position and intensity information. Here, an attempt is made to quantify the position uncertainty using National Hurricane Center (NHC) advisory information, as well as intensity uncertainty during times without aircraft data, by verifying Dvorak minimum sea level pressure (SLP) and maximum wind speed estimates during times with aircraft reconnaissance information during 2000–09. In a climatological sens

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Albrizio, Silvia, Allan Dizioli, Pedro Simon, and Yifan Zhang. "Attention, Please! Listening to the Central Bank in Uncertain Times." AEA Papers and Proceedings 115 (May 1, 2025): 254–60. https://doi.org/10.1257/pandp.20251017.

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This paper investigates how firms' attention to central banks influences monetary policy transmission under varying macroeconomic uncertainty. The paper utilizes the earnings calls-based firm inflation expectations index and a novel attention indicator at the firm level in the empirical analysis. Attention amplifies the impact of monetary policy in low-uncertainty environments, but this effect dissipates during periods of high uncertainty. An extended rational inattention model with a central bank signal explains these findings. The model predicts that, in high-uncertainty environments, firms

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Chike, Emmanuel Onwe Patience Basil-Eze Micheal Kachi Fega Leo Ekene Oketa John Ogayi Ali Lawal Tsalha &. Anthony Nwizi. "Crisis Communications in the Digital Era: Managing Information in Times of Uncertainty." International Journal of Sub-Saharan African Research 2, no. 3 (2024): 469–83. https://doi.org/10.5281/zenodo.15518724.

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<strong>Background: </strong>The digital era has revolutionised crisis communication, enabling rapid dissemination of information through digital platforms such as social media, news websites, and instant messaging applications. While these platforms provide opportunities for immediate engagement and public awareness during crises, they also introduce significant challenges, including the spread of misinformation, loss of narrative control, and fragmented audience engagement. <strong>Objective: </strong>The study investigated the strategies Dangote Cement PLC, Gboko, Nigeria adopt in managing

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Fajgelbaum, Pablo D., Edouard Schaal, and Mathieu Taschereau-Dumouchel. "Uncertainty Traps*." Quarterly Journal of Economics 132, no. 4 (2017): 1641–92. http://dx.doi.org/10.1093/qje/qjx021.

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Abstract We develop a theory of endogenous uncertainty and business cycles in which short-lived shocks can generate long-lasting recessions. In the model, higher uncertainty about fundamentals discourages investment. Since agents learn from the actions of others, information flows slowly in times of low activity and uncertainty remains high, further discouraging investment. The economy displays uncertainty traps: self-reinforcing episodes of high uncertainty and low activity. Although the economy recovers quickly after small shocks, large temporary shocks may have long-lasting effects on the l

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van Asselt, M. B. A., and E. Vos. "The precautionary principle in times of intermingled uncertainty and risk: some regulatory complexities." Water Science and Technology 52, no. 6 (2005): 35–41. http://dx.doi.org/10.2166/wst.2005.0148.

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This article explores the use of the precautionary principle in situations of intermingled uncertainty and risk. It analyses how the so-called uncertainty paradox works out by examining the Pfizer case. It reveals regulatory complexities that result from contradictions in precautionary thinking. In conclusion, a plea is made for embedment of uncertainty information, while stressing the need to rethink regulatory reform in the broader sense.

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Ferragut, Andres, Lucas Narbondo, and Fernando Paganini. "Scheduling EV charging with uncertain departure times." ACM SIGMETRICS Performance Evaluation Review 49, no. 3 (2022): 10–15. http://dx.doi.org/10.1145/3529113.3529117.

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In an EV charging facility, with multiple vehicles requesting charge simultaneously, scheduling becomes crucial to provide adequate service under vehicle sojourn time constraints. However, these departure times may not be known accurately, and typical policies such as Earliest-Deadline- First or Least-Laxity-First are affected by this uncertainty in information. In this paper, we analyze the performance of these policies under uncertain deadlines, using a meanfield approach. We characterize the deviation in individual attained service as a function of the uncertainty. Since incentives appear t

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Chorus, Caspar, Theo Arentze, Eric Molin, and Harry J. P. Timmermans. "Value of Travel Information." Transportation Research Record: Journal of the Transportation Research Board 1926, no. 1 (2005): 142–51. http://dx.doi.org/10.1177/0361198105192600117.

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For models of the use of advanced travel information services (ATISs) and their effect on traveler behavior to be realistic from a behavioral point of view, conceptualizations of travelers’ perceptions of the value of information must be valid. This paper presents a formulation of perceived information value based on the idea that travelers face different types of uncertainty when choosing from and executing travel alternatives, such as routes, travel modes, and departure times. Notions of Bayesian updating are then applied to represent the effect of singular messages from an information servi

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Humberto, Nuno Rito Ribeiro, and Ribeiro Pereira Bernardo. "THE AGE OF UNCERTAINTY: PROSPECTS FOR CHALLENGING TIMES." International Journal of Trade and Management 1, no. 1 (2022): 148–61. https://doi.org/10.5281/zenodo.6564192.

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The dawn of the new millennium was as promising as any milestone achievement usually is. Nevertheless, unforeseen uncertainties and difficulties continue challenging businesses across the world, similarly to what was foresighted by Galbraith in the 1970s. From economic crises to humanitarian and health crises; technological disruptions that keep diminishing the need for humans in the labour market; extreme political views that are dividing the internal politics and also leading to international tensions; information chaos with social media replacing traditional media news; the climate changes

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Madzar, Svjetlana. "Subordinates' Information Inquiry in Uncertain Times." International Journal of Cross Cultural Management 5, no. 3 (2005): 255–74. http://dx.doi.org/10.1177/1470595805058412.

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12

Schrimpff, Charlotte, Tanja Fisse, Elena Link, Eva Baumann, and Christoph Klimmt. "Identifying Uncertainty-Specific Health Information Seeking Practices in Orthopaedic Implant Patient Journeys." European Journal of Health Communication 6, no. 1 (2025): 83–107. https://doi.org/10.47368/ejhc.2025.104.

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Uncertainty is an inherent part of illness that is assumed to vary over time. However, little is known about which kind of uncertainties occur during a chronic illness and how patients manage them at different times. To explore the dimensions of patients’ uncertainty perceptions and management strategies, such as health information seeking behaviour, over the course of the disease, we draw on uncertainty management theory and patient journey mapping. We conducted qualitative semi-structured interviews with 19 patients who had received a knee or hip replacement. We found distinct patterns of un

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Ko, Young Kwan, and Young Dae Ko. "Efficient Hub-Based Platooning Management Considering the Uncertainty of Information." Mathematics 12, no. 23 (2024): 3841. https://doi.org/10.3390/math12233841.

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Platooning technology, which reduces fuel consumption by decreasing aerodynamic drag, is emerging as a key solution for enhancing road efficiency and environmental sustainability in logistics. Conventional vehicle-to-vehicle communication has limitations when forming platoons across multiple trucking companies. To overcome these limitations, a hub-based platooning system has been proposed, enabling coordinated vehicle platoons through hubs distributed along highways. This study develops a mathematical model to optimize platoon formation at hubs, considering the reality that uncertainty in vehi

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Fuentes-Andino, Diana, Keith Beven, Sven Halldin, Chong-Yu Xu, José Eduardo Reynolds, and Giuliano Di Baldassarre. "Reproducing an extreme flood with uncertain post-event information." Hydrology and Earth System Sciences 21, no. 7 (2017): 3597–618. http://dx.doi.org/10.5194/hess-21-3597-2017.

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Abstract. Studies for the prevention and mitigation of floods require information on discharge and extent of inundation, commonly unavailable or uncertain, especially during extreme events. This study was initiated by the devastating flood in Tegucigalpa, the capital of Honduras, when Hurricane Mitch struck the city. In this study we hypothesized that it is possible to estimate, in a trustworthy way considering large data uncertainties, this extreme 1998 flood discharge and the extent of the inundations that followed from a combination of models and post-event measured data. Post-event data co

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POKORNY, KIAN, and DILEEP SULE. "UNCERTAINTY ESTIMATES IN THE FUZZY-PRODUCT-LIMIT ESTIMATOR." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13, no. 01 (2005): 11–26. http://dx.doi.org/10.1142/s021848850500328x.

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The Fuzzy-Product-Limit Estimator (FPLE) is a method for estimating a survival curve and the mean survival time when very few data are available and a high proportion of the data are censored. Considering censored times as vague failure times, the censored values are represented by fuzzy membership functions that represent a belief of continued survival of the associated unit. Associated with any estimate is uncertainty. With the FPLE two distinct types of uncertainty exist in the estimate, the uncertainty due to the randomness in the recorded times and the vague uncertainty in the failure of

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SHORE, DAVID A. "Communicating in Times of Uncertainty: The Need for Trust." Journal of Health Communication 8, sup1 (2003): 13–14. http://dx.doi.org/10.1080/713851977.

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SHORE, DAVID A. "Communicating in Times of Uncertainty: The Need for Trust." Journal of Health Communication 8 (June 1, 2003): 13–14. http://dx.doi.org/10.1080/10810730305715.

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Chirumbolo, Antonio, Antonino Callea, and Flavio Urbini. "Living in Liquid Times: The Relationships among Job Insecurity, Life Uncertainty, and Psychosocial Well-Being." International Journal of Environmental Research and Public Health 19, no. 22 (2022): 15225. http://dx.doi.org/10.3390/ijerph192215225.

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Stress research has widely documented how uncertainty represents a strong stressor that, in general, is negatively associated with well-being. While the literature on job insecurity about this topic is extensive and exhaustive, empirical research on the outcomes of life uncertainty, namely the perception and feeling of precariousness regarding the present and future of one’s own life, is yet to be fully explored. In the present paper, we aimed to investigate the relationships among job insecurity, life uncertainty, and psychosocial well-being outcomes, specifically, with a focus on job satisfa

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19

Omari, Jeffrey. "Civil Rights in Times of Uncertainty (The Anthropocene)." Michigan Law Review, no. 120.8 (2022): 1571. http://dx.doi.org/10.36644/mlr.120.8.civil.

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Although there have been significant civil rights gains made in recent decades, the United States is now experiencing a resurgence of many of the societal ills that have plagued the country for decades. From an insurrection that was seemingly inspired by white supremacist ideology to ongoing examples of police brutality against Black people, anti-Asian violence, anti-LGBTQ violence, and recurring islamophobia, the country sits at an apparent crossroads. There is an urgent need to advance a civil rights agenda that addresses the impact of these societal ills on the affected communities. At the

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Fleischhut, Nadine, Stefan M. Herzog, and Ralph Hertwig. "Weather Literacy in Times of Climate Change." Weather, Climate, and Society 12, no. 3 (2020): 435–52. http://dx.doi.org/10.1175/wcas-d-19-0043.1.

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AbstractAs climate change unfolds, extreme weather events are on the rise worldwide. According to experts, extreme weather risks already outrank those of terrorism and migration in likelihood and impact. But how well does the public understand weather risks and forecast uncertainty and thus grasp the amplified weather risks that climate change poses for the future? In a nationally representative survey (N = 1004; Germany), we tested the public’s weather literacy and awareness of climate change using 62 factual questions. Many respondents misjudged important weather risks (e.g., they were unawa

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Shirono, Katsuhiro, Masanori Shiro, Hideyuki Tanaka, and Kensei Ehara. "Proficiency tests with uncertainty information: analysis using the maximum likelihood method." ACTA IMEKO 5, no. 3 (2016): 16. http://dx.doi.org/10.21014/acta_imeko.v5i3.376.

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<p><span style="font-size: small;"><span style="font-family: Calibri;">In this study, we report the application of the maximum likelihood method to the analysis of proficiency test data when uncertainty information is given and a reference laboratory does not exist. There are two causes that could impair the quality of analysis using the maximum likelihood method: the existence of an unknown random effect, and outliers. The conditions under which performance evaluations can be appropriately conducted are discussed in this study. To avoid serious impacts from these two causes,

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Merigó, José M., Anna M. Gil-Lafuente, and Jaime Gil-Lafuente. "Business, industrial marketing and uncertainty." Journal of Business & Industrial Marketing 31, no. 3 (2016): 325–27. http://dx.doi.org/10.1108/jbim-02-2016-0042.

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Purpose This special issue of the Journal of Business & Industrial Marketing, entitled “Business, Industrial Marketing and Uncertainty”, presents selected extended studies that were presented at the European Academy of Management and Business Economics Conference (AEDEM 2012). Design/methodology/approach The main focus of this year was reflected in the slogan: “Creating new opportunities in an uncertain environment”. The objective was to show the importance that uncertainty has in our current world, strongly affected by many complexities and modern developments, especially through the new

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Spence, PhD, Patric R., Kenneth A. Lachlan, PhD, Lindsay D. Nelson, and Ashleigh K. Shelton, MA. "Age, gender, and information-seeking patterns following an urban bridge collapse." Journal of Emergency Management 8, no. 5 (2010): 47. http://dx.doi.org/10.5055/jem.2010.0032.

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Previous research suggests that mediated information seeking may be especially strong during crises and other times of uncertainty, however, little is known about sex differences in both information seeking and responses under these conditions. The current study explores these differences using data collected from Minneapolis residents following the I-35W bridge collapse.

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Muhammad Amin. "The Role of the IR Function in Crisis Management: Communicating with Investors During Times of Uncertainty." International Journal of Social Science & Entrepreneurship 3, no. 2 (2023): 734–48. http://dx.doi.org/10.58661/ijsse.v3i2.241.

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The role of the investor relations (IR) function in crisis management is essential for effectively communicating with investors during times of uncertainty. Crisis management involves strategic processes undertaken by organizations to respond to unforeseen events that can significantly impact their reputation, operations, or financial performance. Timely and accurate communication with stakeholders, including investors, is crucial in addressing concerns, maintaining trust, and safeguarding the organization’s long-term viability. The IR function acts as a bridge between the company and its stak

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Saganuwan, M. U., and U. N. U. Ahmad . "Technostress: Mediating Accounting Information System Performance." Information Management and Business Review 5, no. 6 (2013): 270–77. http://dx.doi.org/10.22610/imbr.v5i6.1052.

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In recent times, Accounting Information System (AIS) characteristics were studied to enhance its effectiveness but the impact technology stress, which imposes additional stress in the professionals known as techno stress, is not reflected. Technostress and AIS literatures were reviewed to synthesize the relationship. Technostress adversely affect the professionalâ€™s job satisfaction and performance. Therefore, this conceptual paper highlights and synthesizes the issues of techno stress with professionals and the effectiveness of AIS in organizations. However, based on the strength of existing

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Munavalli, Jyoti R., Shyam Vasudeva Rao, Aravind Srinivasan, and GG van Merode. "Integral patient scheduling in outpatient clinics under demand uncertainty to minimize patient waiting times." Health Informatics Journal 26, no. 1 (2019): 435–48. http://dx.doi.org/10.1177/1460458219832044.

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This study addressed the problem of scheduling walk-in patients in real time. Outpatient clinics encounter uncertainty in patient demand. In addition, the disparate departments are locally (department-centric) organized, leading to prolonged waiting times for patients. The proposed integral patient scheduling model incorporates the status and information of all departments in the outpatient clinic along with all possible pathways to direct patients, on their arrival, to the optimal path. The developed hybrid ant agent algorithm identifies the optimal path to reduce the patient waiting time and

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Barido-Sottani, Joëlle, Gabriel Aguirre-Fernández, Melanie J. Hopkins, Tanja Stadler, and Rachel Warnock. "Ignoring stratigraphic age uncertainty leads to erroneous estimates of species divergence times under the fossilized birth–death process." Proceedings of the Royal Society B: Biological Sciences 286, no. 1902 (2019): 20190685. http://dx.doi.org/10.1098/rspb.2019.0685.

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Fossil information is essential for estimating species divergence times, and can be integrated into Bayesian phylogenetic inference using the fossilized birth–death (FBD) process. An important aspect of palaeontological data is the uncertainty surrounding specimen ages, which can be handled in different ways during inference. The most common approach is to fix fossil ages to a point estimate within the known age interval. Alternatively, age uncertainty can be incorporated by using priors, and fossil ages are then directly sampled as part of the inference. This study presents a comparison of al

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Keyes, Laura M., and Abraham David Benavides. "Chaos theory, uncertainty, and organizational learning." International Journal of Organization Theory & Behavior 21, no. 4 (2018): 226–41. http://dx.doi.org/10.1108/ijotb-04-2018-0050.

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Purpose The purpose of this paper is to juxtapose chaos theory with organizational learning theory to examine whether public organizations co-evolve into a new order or rather institutionalize newly gained knowledge in times of a highly complex public health crisis. Design/methodology/approach The research design utilizes the results from a survey administered to 200 emergency management and public health officials in the Dallas–Fort Worth metroplex. Findings The findings of this paper suggest that public entities were more likely to represent organizational learning through the coordination o

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Fridman, Ilia, Erwin Pesch, and Yakov Shafransky. "Minimizing maximum cost for a single machine under uncertainty of processing times." European Journal of Operational Research 286, no. 2 (2020): 444–57. http://dx.doi.org/10.1016/j.ejor.2020.03.052.

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Best, Jacqueline. "Rethinking Central Bank Accountability in Uncertain Times." Ethics & International Affairs 30, no. 2 (2016): 215–32. http://dx.doi.org/10.1017/s0892679416000095.

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There has been little discussion of central bank accountability in recent decades because monetary policy has been seen as an essentially technical problem. Yet, during the 2008 financial crisis and the economic dislocations that ensued, central banks gained considerably in authority—bailing out failing institutions, using unorthodox monetary tools, and wading into sovereign debt crises. At the same time, the financial crisis and the slow recovery that has followed have revealed just how uncertain and volatile the global economy can be—a situation that poses new dilemmas for monetary policy. T

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Huang, Hao, Qian Yan, Keqi Han, et al. "Learning Diffusions under Uncertainty." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 18 (2024): 20430–37. http://dx.doi.org/10.1609/aaai.v38i18.30026.

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To infer a diffusion network based on observations from historical diffusion processes, existing approaches assume that observation data contain exact occurrence time of each node infection, or at least the eventual infection statuses of nodes in each diffusion process. They determine potential influence relationships between nodes by identifying frequent sequences, or statistical correlations, among node infections. In some real-world settings, such as the spread of epidemics, tracing exact infection times is often infeasible due to a high cost; even obtaining precise infection statuses of no

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Qin, Xiao Hong, Bing Neng Luo, and Jun Quan Gong. "Uncertainty Spread and Control of Complex Supply Chain Networks in Manufacturing Industry." Advanced Materials Research 712-715 (June 2013): 3161–64. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.3161.

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The Authors has Commented the Complexity of Supply Chain Networks in Manufacturing Industry Based on Complex Network Theory.Complex Supply Chain Networks in Manufacturing Industry has Characteristics of Small-World and Scale-Free. the Authors has Discussed Various Uncertainties of Complex Supply Chain Networks in Manufacturing Industry. and has Analyzed Spread and Control of Uncertainty of Complex Supply Chain Network in Manufacturing Industry. the Research Showed that Shorten Delivery Lead Times and Strengthen the Exchange of Information can Effectively to Improve Enterprises Cope with Uncert

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Gapsiso, Nuhu Diraso, and Hajara Ibrahim Garba. "The Media in the Times of the Coronavirus (COVID-19) Pandemic." Journal of Society and Media 7, no. 1 (2023): 250–66. http://dx.doi.org/10.26740/jsm.v7n1.p250-266.

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The media became a strong driver of either reliable information or misinformation. The trends of issues during the pandemic indicate that media has been targeted by global health authorities, national governments, and health agencies, among other developmental vital stakeholders, in mobilizing the public at all levels to communicate the preventive measures, symptoms, and non-surgical and hygiene practices that would help in stemming the spread of the virus. The paper indicates that knowledge plays a significant role in driving public health practices. Another critical role the media plays in i

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Knoflacher, Hermann. "Infoconnectivity: The value of certainty and uncertainty for interconnected transport networks." Information Design Journal 17, no. 2 (2009): 85–90. http://dx.doi.org/10.1075/idj.17.2.02kno.

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Human behavior regarding transport depends on travel time estimation and not on measured travel times. Travel time is dependent on human body energy consumption for diff erent activities, which has been studied by the author over the last 30 years. Uncertainty can enhance time perception up to a factor of 5 compared to measured time, dependent on the certainty or uncertainty of the information system. Quantitative analysis has shown that information improvements at interchanges of transport systems can have a value equal to or even greater than time saving produced by expensive, huge infrastru

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Miller, Madeline D., Mark Simons, Jess F. Adkins та Sarah E. Minson. "The Information Content of Pore Fluid δ18O and [Cl−]". Journal of Physical Oceanography 45, № 8 (2015): 2070–94. http://dx.doi.org/10.1175/jpo-d-14-0203.1.

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AbstractPaleoceanographic proxies indicate that the ocean state during the Last Glacial Maximum (LGM) differed from the modern ocean state. Depth profiles of ocean sediment pore fluid δ18O and [Cl−] have been used to reconstruct the δ18O and salinity at the LGM. Here, it is investigated whether pore fluid profiles can constrain ocean δ18O and salinity at other times and, simultaneously, their ability to constrain the LGM δ18O and salinity. An inverse framework is developed that relies on Bayesian parameter estimation, thus allowing formal separation of prior assumptions from the information in

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A., Martin Xabier, Javier Panadero, David Peidro, Elena Perez-Bernabeu, and Angel A. Juan. "Solving the time capacitated arc routing problem under fuzzy and stochastic travel and service times." Networks 82, no. 4 (2024): 318–35. https://doi.org/10.1002/net.22159.

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Stochastic, as well as fuzzy uncertainty, can be found in most real-world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging. In this paper we propose a fuzzy simheuristic to solvethe Time Capacitated Arc Routing Problem (TCARP) when the nature of the travel time can either be deterministic, stochastic or fuzzy. The main goal is to find a solution (vehicle routes) that minimizes the total time spent in servicing the required arcs.However, due to uncertainty, other characteristics of the solution are also considered. In p

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Smirnova, Alexandra, Brian Pidgeon, Gerardo Chowell, and Yichuan Zhao. "The doubling time analysis for modified infectious disease Richards model with applications to COVID-19 pandemic." Mathematical Biosciences and Engineering 19, no. 3 (2022): 3242–68. http://dx.doi.org/10.3934/mbe.2022150.

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<abstract><p>In the absence of reliable information about transmission mechanisms for emerging infectious diseases, simple phenomenological models could provide a starting point to assess the potential outcomes of unfolding public health emergencies, particularly when the epidemiological characteristics of the disease are poorly understood or subject to substantial uncertainty. In this study, we employ the modified Richards model to analyze the growth of an epidemic in terms of 1) the number of times cumulative cases double until the epidemic peaks and 2) the rate at which the inte

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Christensen, Brant E., Steven M. Glover, and David A. Wood. "Extreme Estimation Uncertainty and Audit Assurance." Current Issues in Auditing 7, no. 1 (2013): P36—P42. http://dx.doi.org/10.2308/ciia-50447.

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SUMMARY The overall uncertainty inherent in financial statements has increased in recent decades, but the related reports and required level of audit assurance have changed very little. In our study, “Extreme Estimation Uncertainty in Fair Value Estimates: Implications for Audit Assurance” (Christensen et al. 2012a), we examine estimates reported by public companies and find that estimates based on management's subjective models and inputs contain estimation uncertainty that is many times greater than typical audit materiality. We do not question the value that audits provide to the marketplac

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Karna, Poonam Kumari Labh. "Navigating Economic Uncertainty: Sectoral Investment Resilience During the COVID-19 Pandemic." ANWARUL 5, no. 2 (2025): 108–16. https://doi.org/10.58578/anwarul.v5i2.5130.

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Global markets have been severely impacted by the COVID-19 epidemic, which has increased economic uncertainty and changed sectoral performance. This study looks at the sectors that fared well throughout the crisis and investigates the wider economic effects of uncertainty brought on by the epidemic. We evaluate the degree of economic uncertainty and its macroeconomic impacts using real-time indicators, such as stock market volatility, news-based uncertainty metrics, and company expectation surveys. According to our research, the pandemic's uncertainty shock is similar to past crises like the G

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Castaneda, Juliana, Xabier A. Martin, Majsa Ammouriova, Javier Panadero, and Angel A. Juan. "A Fuzzy Simheuristic for the Permutation Flow Shop Problem under Stochastic and Fuzzy Uncertainty." Mathematics 10, no. 10 (2022): 1760. http://dx.doi.org/10.3390/math10101760.

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Stochastic, as well as fuzzy uncertainty, can be found in most real-world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging. In this paper, we analyze the permutation flow shop problem (PFSP) with both stochastic and fuzzy processing times. The main goal is to find the solution (permutation of jobs) that minimizes the expected makespan. However, due to the existence of uncertainty, other characteristics of the solution are also taken into account. In particular, we illustrate how survival analysis can be employed to enrich the pr

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Kamilova, Rozakhon, and Zilola Yusupova. "Community aid and support." JOURNAL OF SCIENCE-INNOVATIVE RESEARCH IN UZBEKISTAN 2, no. 4 (2024): 438–42. https://doi.org/10.5281/zenodo.11079920.

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This article provides the information about the role of community support and belonging, identity in our lives. This assistance connects an individual to the society and strengthens our ties with people, making it a better place for us to live. As well as this feature assure people with the information, advice, guidance and also tangible support, such as assistance in times of uncertainty

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Kuri, Miwa. "Science Communication of Hazards with Scientific Uncertainty: In the Cases of Volcanic Activity." Journal of Disaster Research 11, no. 4 (2016): 707–19. http://dx.doi.org/10.20965/jdr.2016.p0707.

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This paper studies cases in Japan, focusing on information on volcanic activities as well as other natural disasters. This information is given as an example of scientific communication in times of scientific uncertainty when there is an urgent need for judgments. This paper also considers the usage of volcanic activity information by residents of Kuchinoerabu Island in 2015, from the time their volcano became active to when the island was fully evacuated. The results suggest that it is important not only to establish relationships with highly interested local residents as non-experts, residen

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Li, Ming, and Kefeng Liu. "Probabilistic Prediction of Significant Wave Height Using Dynamic Bayesian Network and Information Flow." Water 12, no. 8 (2020): 2075. http://dx.doi.org/10.3390/w12082075.

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Short-term prediction of wave height is paramount in oceanic operation-related activities. Statistical models have advantages in short-term wave prediction as complex physical process is substantially simplified. However, previous statistical models have no consideration in selection of predictive variables and dealing with prediction uncertainty. This paper develops a machine learning model by combining the dynamic Bayesian network (DBN) with the information flow (IF) designated as DBN-IF. IF is focused on selecting the best predictive variables for DBN by causal analysis instead of correlati

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LU, CHUNG-CHENG JASON. "AN ADAPTIVE SYSTEM FOR PREDICTING FREEWAY TRAVEL TIMES." International Journal of Information Technology & Decision Making 11, no. 04 (2012): 727–47. http://dx.doi.org/10.1142/s0219622012500186.

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This paper presents an adaptive system that embeds a Bayesian inference-based dynamic model (BDM) for predicting real-time travel time on a freeway corridor. Bayesian forecasting is a learning process that revises sequentially the state of a priori knowledge of travel time based on newly available information. The prediction result is a posterior travel time distribution that can be employed to generate a single-value (typically but not necessarily the mean) travel time as well as a confidence interval representing the uncertainty of travel time prediction. To better track travel time fluctuat

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Testuri, Carlos E., Héctor Cancela, and Víctor M. Albornoz. "A multistage stochastic lot-sizing problem with cancellation and postponement under uncertain demands." RAIRO - Operations Research 55, no. 2 (2021): 861–72. http://dx.doi.org/10.1051/ro/2021042.

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A multistage stochastic capacitated discrete procurement problem with lead times, cancellation and postponement is addressed. The problem determines the procurement of a product under uncertain demand at minimal expected cost during a time horizon. The supply of the product is made through the purchase of optional distinguishable orders of fixed size with delivery time. Due to the unveiling of uncertainty over time it is possible to make cancellation and postponement corrective decisions on order procurement. These decisions involve costs and times of implementation. A model of the problem is

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Perez, Eduardo, Vivekanand Anandhan, and Clara Novoa. "A Simulation-Based Planning Methodology for Decreasing Patient Waiting Times in Pure Walk-In Clinics." International Journal of Information Systems in the Service Sector 12, no. 3 (2020): 34–54. http://dx.doi.org/10.4018/ijisss.2020070103.

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This article presents a simulation-based planning methodology that aims to improve patient service quality in pure walk-in clinics. Capacity planning is one of the major challenges in walk-in clinics because of the uncertainty in both patient demand and arrival times. This work presents a discrete-event simulation model for walk-in clinics that takes into consideration patient behavior in terms of arrival times for capacity planning at the clinic level. The goal of the model is to provide a tool that will allow clinics to develop protocols that will reduce patient waiting times by scheduling d

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Brown, Richard J. C., Daniel Hood, and Andrew S. Brown. "On the Optimum Sampling Time for the Measurement of Pollutants in Ambient Air." Journal of Automated Methods and Management in Chemistry 2008 (2008): 1–6. http://dx.doi.org/10.1155/2008/814715.

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No measurement result of any kind is complete without an associated statement of uncertainty. In general, the aim is to minimise this measurement uncertainty to the extent that the measurement made is fit for purpose, or the uncertainty meets an acceptable level such as a ‘‘data quality objective’’. This paper demonstrates how the sampling time used to measure a pollutant in ambient air over a given time period, particularly with automatic instruments, can affect the uncertainty of the measurement result. It is shown that the uncertainty of the overall result depends critically on how the prec

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Imamsyah, Rasyid Noor, Nova Noor Kamala Sari, and Ariesta Lestari. "Rancang Bangun Aplikasi Angkotkita Menggunakan Location Based Service Dengan Metode Haversine Berbasis Android." Journal of Information Technology and Computer Science 3, no. 1 (2023): 28–38. https://doi.org/10.47111/jointecoms.v3i1.10796.

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One of the problems that are often encountered by city transport passengers is the uncertainty that there will be city transportation that will pass through the passenger's location and uncertainty regarding the number of passengers in the city transportation. Meanwhile, the problem for city transportation drivers is the uncertainty of the location of passengers who will order city transportation and the location of passengers who are scattered, making the driver have to stop several times even though the location between passengers and others is not too far away. This study aims to create a c

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Goetz, Katja, Hans-Jürgen Wenz, and Katrin Hertrampf. "Certainty in Uncertain Times: Dental Education during the COVID-19 Pandemic–A Qualitative Study." International Journal of Environmental Research and Public Health 20, no. 4 (2023): 3090. http://dx.doi.org/10.3390/ijerph20043090.

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Background: The restrictions concerning social contact due to the COVID-19 pandemic implied a rethinking of teaching methods at universities in general, and for practice-oriented teaching such as dental education in particular. This qualitative study aimed to assess aspects of feelings of certainty and uncertainty during this specific education process, incorporating the perspectives of teaching staff and dental students. Methods: Qualitative methods based on interviews were used for data collection. Dental students from different academic years (second, third, fourth, and fifth) and teaching

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Winasti, Windi, Hubert Berden, and Frits van Merode. "Entropy Optimization by Redesigning Organization in Hospital Operations." Entropy 25, no. 10 (2023): 1447. http://dx.doi.org/10.3390/e25101447.

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A redesign of hospitals (i.e., partitioning departments and delegating decision authority) may be needed to deal with variable demand. Uncertain demands and throughput times often need short reaction times. In this study, we develop quantitative methods to guide a redesign through an information-processing approach. To demonstrate how the methods can be used in practice, we tested them by applying them to a large perinatology care system in the Netherlands. We used the following two methods: 1. portfolio optimization and 2. efficient coordination of workload and reallocation of nurses. Our cas

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