Local e-government 2.0: Social media and corporate transparency in municipalities

Ponte, Enrique Bonsón; Torres, Lourdes; Royo, Sonia; Flores, Francisco

doi:10.1016/j.giq.2011.10.001

Cited by 760 publications

(542 citation statements)

References 21 publications

Supporting

Mentioning

466

Contrasting

Unclassified

Order By: Relevance

“…For that reason results must be treated with great caution. Bonsón et al (2012) found that the most popular social platform for public administration was Twitter (32% surveyed cities had an official Twitter account) followed by YouTube (29%) and surprisingly only the 17% local governments that had an Facebook official page. Spurrel (2012), on the other hand produced much higher numbers from UK: Facebook -93.2%; Twitter -97.5%; YouTube -62.7%.…”

Section: Vol 21 1/2017mentioning

confidence: 99%

Social media adoption in local governments. The case of Poland

Pawlicz

Kubicki

2017

European Journal of Service Management

View full text Add to dashboard Cite

Section: Vol 21 1/2017mentioning

confidence: 99%

Social media adoption in local governments. The case of Poland

Pawlicz

Kubicki

2017

European Journal of Service Management

View full text Add to dashboard Cite

“…It was also found that, developing cognition of senior managers to motive their staff to use internalweb 2.0 is important.Consequently, the suggested conceptual model can help the government organizations to develop the effective acceptance of web 2.0 technologies through identifying the motives of their staff, and to develop social networks appropriate organizational policies. Bonsón,Torres, Royo,Flores (2012)in aresearch titled as "Local e-government 2.0: Social media and corporate transparency inmunicipalities" aimed to offer a general view about using web 2.0 and social networks in local governments of European Union. The study aimed to determine whether electronic participation increases in local governments by using this technology, and to specifythe factors promoting the developmental level of these devices at local scales.…”

Section: Introductionmentioning

confidence: 99%

E-Government implementation models and presenting E-Government 2.0 conceptual model

hoseini-shoar¹

2017

IJABS

View full text Add to dashboard Cite

The purpose of the present study is to determine and identify some essential components of E-Government, and kinds of E-Government implementation models, so that by using them, the E-Government can progress better in the way of fulfilling its goals. This research was done by using descriptive method, by reviewing the texts related to E-Government, and surveying the E-Government implementation models, social networks and web2.0 By assessing the EGovernment implementation models, the E-Government 2.0 model was presented. The finding of the study indicated that there are models for the implementation of E-Government 2.0. Regarding the function of web 2.0 technology and social networks in E-Government, as well as investigating the effective factors in accepting this technology, E-Government conceptual model is presented. The results reveal that by admission of web 2.0 technology and social networks into the E-Government, we witness the advent of E-Government 2.0. Before generating EGovernment 2.0, we may pay attention to the implementation models and choose the most appropriate one given the circumstance that the E-Government is rendered in it. Presenting E-Government 2.0 conceptual model in this regard is effective.

show abstract

“…There have been studies on corporate crisis communication [6,16,52], government crisis communication during natural disasters, such as the 2005 Hurricane Katrina [24] and the 2008 Sichuan earthquake [13], and factors influencing government transparency in non-crisis situations has been examined [7,9,11,22,35,47]. However, there is little research investigating the potential role of government transparency in crisis communication in influencing national and/or international public opinions during an enfolding aviation disaster.…”

Section: Introductionmentioning

confidence: 99%

Goal-Driven Context-Aware Data Filtering in IoT-Based Systems

Narendra

Ponnalagu

Ghose

et al. 2015

2015 IEEE 18th International Conference on Intelligent Transportation Systems

View full text Add to dashboard Cite

One of the crucial research issues in an IoT-based system is how to manage the huge amount of data transmitted by the potentially large number of sensors that form the system. Prior research has focused on centralized cloud-based 'Big Data' architectures for collecting, collating and analyzing the data. However, most of these scenarios accumulate thousands of petabytes in a short period of time, increasing the demand for more storage, and also slowing down speed of data analysis. Hence for real-time scenarios, e.g., agricultural crop tracking, traffic management, etc., such an approach would be impractical. Moreover, depending on the context in which the data is generated and is to be used, only a fraction of the data would be needed for analysis. Therefore, the challenges are to determine which data to keep and which to discard for both short term and long term usage, and define the contextual parameters along which this filtering is to be done. Hence one key problem addressed in this paper is how to define what data the user needs so that filtering algorithms can be defined to extract the data needed. To that end, in this paper, we present a goal driven, context-aware data filtering, transforming and integration approach for IoT-based systems. We propose a data warehousebased data model for specifying the data needed at particular levels of granularity and frequency, that drive data storage and representation (aligned with the Semantic Sensor Network ontology). Throughout our paper, we illustrate our ideas via a realistic running example in the smart city domain, with emphasis on traffic management, and also present a proof of concept prototype.

show abstract

Local e-government 2.0: Social media and corporate transparency in municipalities

Cited by 760 publications

References 21 publications

Social media adoption in local governments. The case of Poland

Social media adoption in local governments. The case of Poland

E-Government implementation models and presenting E-Government 2.0 conceptual model

Goal-Driven Context-Aware Data Filtering in IoT-Based Systems

Contact Info

Product

Resources

About