Tracing the Impact of Item-by-Item Information Accessing on Uncertainty Reduction

1994 ◽  
Vol 21 (2) ◽  
pp. 291 ◽  
Author(s):  
Jacob Jacoby ◽  
James J. Jaccard ◽  
Imran Currim ◽  
Alfred Kuss ◽  
Asim Ansari ◽  
...  
Keyword(s):  
Uncertainty Reduction ◽  
Item Information ◽  
The Impact

scholarly journals Analysing the impact of uncertainty reduction on WLC methods in MTO flow shops

2018 ◽  
Vol 6 (1) ◽  
pp. 328-344
Author(s):  
Kaustav Kundu ◽  
Matteo Rossini ◽  
Alberto Portioli-Staudacher
Keyword(s):  
Uncertainty Reduction ◽  
Flow Shops ◽  
The Impact

scholarly journals Asteroseismic potential of CHEOPS

2018 ◽  
Vol 620 ◽  
pp. A203 ◽  
Author(s):  
A. Moya ◽  
S. Barceló Forteza ◽  
A. Bonfanti ◽  
S. J. A. J. Salmon ◽  
V. Van Grootel ◽  
...  
Keyword(s):  
Time Series ◽  
Main Sequence ◽  
Uncertainty Reduction ◽  
Light Curves ◽  
Accuracy And Precision ◽  
Mass Uncertainty ◽  
The Impact ◽  
Host Stars

Context. Asteroseismology has been impressively boosted during the last decade mainly thanks to space missions such as Kepler/K2 and CoRoT. This has a large impact, in particular, in exoplanetary sciences since the accurate characterization of the exoplanets is convoluted in most cases with the characterization of their hosting star. In the decade before the expected launch of the ESA mission PLATO 2.0, only two important missions will provide short-cadence high-precision photometric time-series: NASA–TESS and ESA–CHEOPS missions, both having high capabilities for exoplanetary sciences. Aims. In this work we want to explore the asteroseismic potential of CHEOPS time-series. Methods. Following the works estimating the asteroseismic potential of Kepler and TESS, we have analysed the probability of detecting solar-like pulsations using CHEOPS light-curves. Since CHEOPS will collect runs with observational times from hours up to a few days, we have analysed the accuracy and precision we can obtain for the estimation of νmax. This is the only asteroseismic observable we can recover using CHEOPS observations. Finally, we have analysed the impact of knowing νmax in the characterization of exoplanet host stars. Results. Using CHEOPS light-curves with the expected observational times we can determine νmax for massive G and F-type stars from late main sequence (MS) on, and for F, G, and K-type stars from post-main sequence on with an uncertainty lower than a 5%. For magnitudes V <  12 and observational times from eight hours up to two days, the HR zone of potential detectability changes. The determination of νmax leads to an internal age uncertainty reduction in the characterization of exoplanet host stars from 52% to 38%; mass uncertainty reduction from 2.1% to 1.8%; radius uncertainty reduction from 1.8% to 1.6%; density uncertainty reduction from 5.6% to 4.7%, in our best scenarios.

The impact of language on retweeting during acute natural disasters: uncertainty reduction and language expectancy perspectives

2020 ◽  
Vol 120 (8) ◽  
pp. 1501-1519 ◽  
Author(s):  
Chang Heon Lee ◽  
Heng Yu
Keyword(s):  
Natural Disasters ◽  
Uncertainty Reduction ◽  
Content Type ◽  
Linguistic Style ◽  
Language Style ◽  
Language Expectancy ◽  
Concrete Language ◽  
The Impact ◽  
Language Content

PurposeSocial media have increasingly gained credibility as information sources in emergencies. Retweeting or resharing nature has made Twitter a popular medium of information dissemination. The purpose of this article is to enhance our understanding of both linguistic style and content properties (i.e. both affective and informational contents) that drives resharing behavior or virality of disaster messages on Twitter. We investigate this issue in the context of natural disaster crisis.Design/methodology/approachIn this study, the authors develop, drawing upon language expectancy and uncertainty reduction theories as an enabling framework, hypotheses about how the language (i.e. style and content) influence resharing behavior. They employ a natural language processing of disaster tweets to examine how the language – linguistic style (concrete and interactive language) and linguistic content (information- and affect-focused language) – affects resharing behavior on Twitter during natural disasters. To examine the effects of both linguistic style and content factors on virality, a series of negative binomial regressions were conducted, particularly owing to the highly skewed count data.FindingsOur analysis of tweets from the 2013 Colorado floods shows that resharing disasters tweets increases with the use of concrete language style during acute emergencies. Interactive language is also positively associated with retweet frequency. In addition, neither positive nor negative emotional tweets drive down resharing during acute crises, while information-focused language content has a significantly positive effect on virality.Practical implicationsAgencies for public safety and disaster management or volunteer organizations involved in disseminating crisis and risk information to the public may leverage the impacts of the linguistic style and language content through the lens of our research model. The findings encourage practitioners to focus on the role of linguistic style cues during acute disasters. Specifically, from the uncertainty reduction perspective, using concrete language in the disaster tweets is the expected norm, leading to a higher likelihood of virality. Also, interactively frame disaster tweets are more likely to be diffused to a larger number of people on Twitter.Originality/valueThe language that people use offer important psychological cue to their intentions and motivations. However, the role of language on Twitter has largely been ignored in this crisis communication and few prior studies have examined the relationship between language and virality during acute emergencies. This article explains the complex and multifaceted nature of information resharing behavior using a multi-theoretical approach – including uncertainty reduction and language expectancy theory – to understand effects of language style and content cues on resharing behavior in the context of natural crisis events.

The Impact of On-Line Consumer Reviews on Value Perception

2015 ◽  
Vol 27 (2) ◽  
pp. 32-57 ◽  
Author(s):  
Hsin Hsin Chang ◽  
Po Wen Fang ◽  
Chien Hao Huang
Keyword(s):  
Source Credibility ◽  
Uncertainty Reduction ◽  
Dual Process ◽  
Prior Beliefs ◽  
Consumer Reviews ◽  
Value Perception ◽  
Value Perceptions ◽  
Consumer Uncertainty ◽  
On Line ◽  
The Impact

This study combines the dual-process theory (DPT) and the uncertainty reduction theory (URT) to examine how on-line consumer reviews affect consumer uncertainty reduction and value perceptions in order to understand whether consumer attitudes will be influenced by on-line consumer reviews and if relationships are built between consumers and companies as a result. The results indicated that argument quality, recommendation sidedness, source credibility, confirmation of prior beliefs, and recommendation ratings have a positive effect on the uncertainty reduction of consumers towards the businesses under consideration. Since uncertainty reduction has an effect on value perception, this study suggests that companies provide on-line consumer reviews on their websites to increase consumer uncertainty reduction and to improve consumer value perception of their companies.

scholarly journals EVALUATING THE IMPACT OF PETROPHYSICAL IMAGES PARAMETERIZATION IN DATA ASSIMILATION FOR UNCERTAINTY REDUCTION

2019 ◽  
Vol 13 (4) ◽  
pp. 249-263
Author(s):  
R. V. Soares ◽  
H. N. Formentin ◽  
C. Maschio ◽  
D. J. Schiozer
Keyword(s):  
Data Assimilation ◽  
Uncertainty Reduction ◽  
The Impact

Two Tickets for Paradise

2012 ◽  
pp. 91-101
Author(s):  
Ashleigh K. Shelton
Keyword(s):  
Mass Communication ◽  
Information Technologies ◽  
Uses And Gratifications ◽  
Uncertainty Reduction ◽  
Reduction Theory ◽  
Dependency Theory ◽  
Uses And Gratifications Theory ◽  
Media Dependency ◽  
Uncertainty Reduction Theory ◽  
The Impact

This chapter begins by identifying linkage points between advergames, tourism and three major mass communication theories/approaches—media dependency theory (Ball Rokeach & DeFleur, 1976; DeFleur & Ball-Rokeach, 1989), uncertainty reduction theory (Berger & Calabrese, 1975), and uses and gratifications theory (Blumler & Katz, 1974). These will serve as examples of how advergames and hospitality can be integrated into theories and models attempting to explain the impact of information technologies. They will also provide a springboard for considering the nature of advergames with regards to tourism.

scholarly journals Performance of longitudinal item response theory models in shortened or partial assessments

2020 ◽  
Vol 47 (5) ◽  
pp. 461-471
Author(s):  
Leticia Arrington ◽  
Sebastian Ueckert ◽  
Malidi Ahamadi ◽  
Sreeraj Macha ◽  
Mats O. Karlsson
Keyword(s):  
Disease Progression ◽  
Item Response ◽  
Drug Effect ◽  
Simulated Data ◽  
Real Data ◽  
Item Information ◽  
Item Characteristics ◽  
The Impact ◽  
Substantial Change ◽  
Longitudinal Item Response

Abstract This work evaluates the performance of longitudinal item response (IR) theory models in shortened assessments using an existing model for part II and III of the MDS-UPDRS score. Based on the item information content, the assessment was reduced by removal of items in multiple increments and the models’ ability to recover the item characteristics of the remaining items at each level was evaluated. This evaluation was done for both simulated and real data. The metric of comparison in both cases was the item information function. For real data, the impact of shortening on the estimated disease progression and drug effect was also studied. In the simulated data setting, the item characteristics did not differ between the full and the shortened assessments down to the lowest level of information remaining; indicating a considerable independence between items. In contrast when reducing the assessment in a real data setting, a substantial change in item information was observed for some of the items. Disease progression and drug effect estimates also decreased in the reduced assessments. These changes indicate a shift in the measured construct of the shortened assessment and warrant caution when comparing results from a partial assessment with results from the full assessment.

Improving the effectiveness of social media-based crowdsourcing innovations: roles of assurance mechanism and innovator's behaviour

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yefei Yang ◽  
Ciwei Dong ◽  
Xin Yao ◽  
Peter K.C. Lee ◽  
T.C.E. Cheng
Keyword(s):  
Social Media ◽  
Task Complexity ◽  
Uncertainty Reduction ◽  
Internet Technology ◽  
Reduction Theory ◽  
Content Type ◽  
Uncertainty Reduction Theory ◽  
Theoretical Contribution ◽  
Innovation Research ◽  
The Impact

PurposeWith the development of social media and Internet technology, many firms have started to use various crowdsourcing innovation platforms to operate their open innovation business modes. The purpose of this study is to explore how such platforms' assurance mechanisms enhance the effectiveness of crowdsourcing innovations and how to apply assurance mechanisms to handle different innovation tasks, thereby motivating more seekers to use crowdsourcing innovations.Design/methodology/approachThe authors use a Python-based technology to collect the research data comprising 2,302 solvers and 8,390 trade records from zbj.com and apply statistical methods to test the postulated hypotheses.FindingsThe effectiveness of assurance mechanism is confirmed by its positive relationship with solver's behaviour, thereby improving seeker's retention behaviour. However, task complexity, task novelty and task professionalization have different moderating effects on the relationships among assurance mechanism, solver's (innovator's) behaviour and seeker's behaviour.Research limitations/implicationsThis study enriches the literature on crowdsourcing innovations and extends the application of uncertainty reduction theory to innovation research. It also makes the theoretical contribution that the assurance mechanism adopted by the platform has different impacts on user's behaviour depending on the task characteristics.Practical implicationsThe findings provide guidance to the platform operator on how to design the assurance mechanism to match the innovation task and innovator's behaviour to reduce seeker's uncertainty, thereby facilitating the seeker's decision-making.Originality/valueA particular value of this study lies in exploring the impact of the platform assurance mechanism of social media-based crowdsourcing innovations on innovator's behaviour, which may further improve seeker's behaviour, based on uncertainty reduction theory.

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