The Impact of Online User Reviews and Professional Reviews: A Bayesian Approach to Model Mediation and Moderation Effects

2011 ◽  
Author(s):  
Wenqi Zhou ◽  
Wenjing Duan
Keyword(s):  
Bayesian Approach ◽  
User Reviews ◽  
Moderation Effects ◽  
Online User Reviews ◽  
The Impact ◽  
Mediation And Moderation

The impact of online user reviews on cameras sales

2013 ◽  
Vol 47 (7) ◽  
pp. 1115-1128 ◽  
Author(s):  
Lin Zhang ◽  
Baolong Ma ◽  
Debra K. Cartwright
Keyword(s):  
User Reviews ◽  
Online User Reviews ◽  
The Impact

Ranking Online User Reviews for Tourism Based on Usefulness

2020 ◽  
Author(s):  
Konstantinos Tsamis ◽  
Andreas Komninos ◽  
Konstantinos Kovas ◽  
Nikolaos Zotos
Keyword(s):  
User Reviews ◽  
Online User Reviews

The Impact of Employee Empathy on Brand Trust in Organizational Complaint Response Emails: A Closer Look at Linguistic Realization

2021 ◽  
pp. 232948842110323
Author(s):  
Rebecca Van Herck ◽  
Sofie Decock ◽  
Bernard De Clerck ◽  
Liselot Hudders
Keyword(s):  
Positive Impact ◽  
Brand Trust ◽  
Mediating Effects ◽  
Customer Complaints ◽  
Moderation Effects ◽  
Complaint Handling ◽  
Negative Effect ◽  
Handling Quality ◽  
The Impact

This study investigates the effect of linguistic realizations of employee empathy (LREE) on brand trust in email responses to customer complaints. We explore possible mediating effects of perceived empathy and perceived complaint handling quality and we look into moderation effects of compensation (Study 1) or customer’s acceptance of blame (Study 2). Our aim is to find out if LREE have a negative or positive impact on the customer in cases of partial refunds, either because LREE are being perceived as insincere or as genuine expressions of concern. The results of two experiments show that LREE positively influence brand trust through higher perceived empathy and perceived complaint handling quality. However, the expected negative effect is not found, as LREE are more effective in a low versus high compensation condition. The effectiveness itself is not influenced by the acceptance of blame when a partial refund is offered.

scholarly journals Synchronization in 5G networks: a hybrid Bayesian approach toward clock offset/skew estimation and its impact on localization

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Meysam Goodarzi ◽  
Darko Cvetkovski ◽  
Nebojsa Maletic ◽  
Jesús Gutiérrez ◽  
Eckhard Grass
Keyword(s):  
Bayesian Approach ◽  
Large Scale ◽  
Hybrid Approach ◽  
Position Estimation ◽  
5G Networks ◽  
Clock Skew ◽  
Depth Analysis ◽  
The Impact ◽  
Mean Square Errors ◽  
Clock Offset

AbstractClock synchronization has always been a major challenge when designing wireless networks. This work focuses on tackling the time synchronization problem in 5G networks by adopting a hybrid Bayesian approach for clock offset and skew estimation. Furthermore, we provide an in-depth analysis of the impact of the proposed approach on a synchronization-sensitive service, i.e., localization. Specifically, we expose the substantial benefit of belief propagation (BP) running on factor graphs (FGs) in achieving precise network-wide synchronization. Moreover, we take advantage of Bayesian recursive filtering (BRF) to mitigate the time-stamping error in pairwise synchronization. Finally, we reveal the merit of hybrid synchronization by dividing a large-scale network into local synchronization domains and applying the most suitable synchronization algorithm (BP- or BRF-based) on each domain. The performance of the hybrid approach is then evaluated in terms of the root mean square errors (RMSEs) of the clock offset, clock skew, and the position estimation. According to the simulations, in spite of the simplifications in the hybrid approach, RMSEs of clock offset, clock skew, and position estimation remain below 10 ns, 1 ppm, and 1.5 m, respectively.

PD-0776 A Bayesian approach to evaluate the impact of change in IGRT protocol using real world data

2021 ◽  
Vol 161 ◽  
pp. S608
Author(s):  
I. Fornacon-Wood ◽  
H. Mistry ◽  
C. Johnson-Hart ◽  
J.P.B. O’Connor ◽  
C. Faivre-Finn ◽  
...  
Keyword(s):  
Bayesian Approach ◽  
Real World ◽  
Real World Data ◽  
World Data ◽  
The Impact
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