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1 – 4 of 4Wunhong Su and Chen Yin
This study aims to investigate the association between executives with foreign backgrounds and the audit fees paid by the Chinese-listed firms over the period from 2010 to 2020.
Abstract
Purpose
This study aims to investigate the association between executives with foreign backgrounds and the audit fees paid by the Chinese-listed firms over the period from 2010 to 2020.
Design/methodology/approach
To examine the association between executives’ foreign experience and audit fees, this study constructs the following empirical model: Lnfeei,t = β0 + β1Foreign backgroundi,t + ∑βj Controli,t + YearFE + IndFE + εi,t (1).
Findings
This study finds that auditors charge higher fees for firms hiring more executives with foreign backgrounds. The results are robust to a battery of robustness checks, including fixed effects, alternative measures of independent variable, controlling for other characteristics of executives and auditors and entropy balancing method.
Originality/value
This study sheds light on how executives’ foreign backgrounds affect audit fees, enriching the literature on executive heterogeneity and audit fees and providing important implications for audit practitioners.
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Keywords
Feng Wang, Mingyue Yue, Quan Yuan and Rong Cao
This research explores the differential effects of pixel-level and object-level visual complexity in firm-generated content (FGC) on consumer engagement in terms of the number of…
Abstract
Purpose
This research explores the differential effects of pixel-level and object-level visual complexity in firm-generated content (FGC) on consumer engagement in terms of the number of likes and shares, and further investigates the moderating role of image brightness.
Design/methodology/approach
Drawing on a deep learning analysis of 85,975 images on a social media platform in China, this study investigates visual complexity in FGC.
Findings
The results indicate that pixel-level complexity increases both the number of likes and shares. Object-level complexity has a U-shaped relationship with the number of likes, while it has an inverted U-shaped relationship with the number of shares. Moreover, image brightness mitigates the effect of pixel-level complexity on likes but amplifies the effect on shares; contrarily, it amplifies the effect of object-level complexity on likes, while mitigating its effect on shares.
Originality/value
Although images play a critical role in FGC, visual data analytics has rarely been used in social media research. This study identified two types of visual complexity and investigated their differential effects. We discuss how the processing of information embedded in visual content influences consumer engagement. The findings enrich the literature on social media and visual marketing.
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Manuel Pedro Rodríguez Bolívar and Laura Alcaide Muñoz
This study aims to conduct performance and clustering analyses with the help of Digital Government Reference Library (DGRL) v16.6 database examining the role of emerging…
Abstract
Purpose
This study aims to conduct performance and clustering analyses with the help of Digital Government Reference Library (DGRL) v16.6 database examining the role of emerging technologies (ETs) in public services delivery.
Design/methodology/approach
VOSviewer and SciMAT techniques were used for clustering and mapping the use of ETs in the public services delivery. Collecting documents from the DGRL v16.6 database, the paper uses text mining analysis for identifying key terms and trends in e-Government research regarding ETs and public services.
Findings
The analysis indicates that all ETs are strongly linked to each other, except for blockchain technologies (due to its disruptive nature), which indicate that ETs can be, therefore, seen as accumulative knowledge. In addition, on the whole, findings identify four stages in the evolution of ETs and their application to public services: the “electronic administration” stage, the “technological baseline” stage, the “managerial” stage and the “disruptive technological” stage.
Practical implications
The output of the present research will help to orient policymakers in the implementation and use of ETs, evaluating the influence of these technologies on public services.
Social implications
The research helps researchers to track research trends and uncover new paths on ETs and its implementation in public services.
Originality/value
Recent research has focused on the need of implementing ETs for improving public services, which could help cities to improve the citizens’ quality of life in urban areas. This paper contributes to expanding the knowledge about ETs and its implementation in public services, identifying trends and networks in the research about these issues.
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