Structural Equation Modeling for Evaluating the Public Value of Service Delivery through e-Government: A Case Study from Sri Lanka

2011 ◽  
pp. 216-225 ◽  
Author(s):  
Kanishka Karunasena ◽  
Hepu Deng ◽  
Anuradha Karunasena
Keyword(s):  
Structural Equation Modeling ◽  
Sri Lanka ◽  
Service Delivery ◽  
Structural Equation ◽  
Equation Modeling ◽  
Public Value ◽  
The Public

scholarly journals Disrupting gatekeeping practices: Journalists’ source selection in times of crisis

Journalism ◽  
2016 ◽  
Vol 18 (9) ◽  
pp. 1107-1124 ◽  
Author(s):  
Toni G.L.A. van der Meer ◽  
Piet Verhoeven ◽  
Johannes W.J. Beentjes ◽  
Rens Vliegenthart
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Organizational Crisis ◽  
The Public ◽  
Source Characteristics ◽  
Source Selection ◽  
Source Type ◽  
News Agencies ◽  
The Relationship

As gatekeepers, journalists have the power to select the sources that get a voice in crisis coverage. The aim of this study is to find out how journalists select sources during a crisis. In a survey, journalists were asked how they assess the following sources during an organizational crisis: news agencies, an organization undergoing a crisis, and the general public. The sample consisted of 214 Dutch experienced journalists who at least once covered a crisis. Using structural equation modeling, sources’ likelihood of being included in the news was predicted using five source characteristics: credibility, knowledge, willingness, timeliness, and the relationship with the journalist. Findings indicated that during a crisis, news agencies are most likely to be included in the news, followed by the public, and finally the organization. The significance of the five source characteristics is dependent on source type. For example, to be used in the news, news agencies and organizations should be mainly evaluated as knowledgeable, whereas information from the public should be both credible and timely. In addition, organizations should not be seen as too willing or too eager to communicate. The findings imply that, during a crisis, journalists remain critical gatekeepers; however, they rely mainly on familiar sources.

How Do Fans Feel? A Case Analysis of Measuring and Modeling Attitudes Using Partial Least Squares Structural Equation Modeling

2016 ◽  
Vol 5 (1) ◽  
pp. 85-88 ◽  
Author(s):  
Lane Wakefield ◽  
Gregg Bennett
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Equation Modeling ◽  
Sport Organizations ◽  
Sports Teams ◽  
Know How ◽  
Fan Communities

Virtual fan communities (VFC) have become very popular among fans of sports teams. A VFC provides an online place for fans to meet and discuss the team, consume media, and develop friendships. Students will learn, in this case study, how to use partial least squares structural equation modeling (PLS-SEM) to assess fan attitudes toward the VFC and sponsors of the firm. Students will also learn how sport organizations can benefit from leadership with statistical know-how. The case is fictional, but it is based on an actual research study conducted in conjunction with a prominent virtual fan community in which ownership had an interest in fans’ attitudes toward their service.

scholarly journals Pengaruh Usia dan Pendidikan Dalam Pembentukan Persepsi dan Opini di Media Change.org

2019 ◽  
Vol 23 (1) ◽  
pp. 17-26
Author(s):  
Drina Intyaswati ◽  
Supratman Supratman
Keyword(s):  
Public Opinion ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Sampling Technique ◽  
Education Level ◽  
Equation Modeling ◽  
Cluster Sampling ◽  
The Public ◽  
Multistage Cluster Sampling ◽  
Area Data

Along with the development of technology and mass media, Change.org appears in the form of websites that become to a medium for the forming of the public opinion, raising the opinions through campaigns that seeks the support of public opinion raised. This study to confirm how age and education level influencing the form of perceptions and public opinion through Change.org. This research using survey with explanitative approach, a research sampling are 200 people from Change.org users was taken with multistage cluster sampling technique with population at DKI Jakarta area. Data analysis using Structural Equation Modeling (SEM). The results show that age and education do not affect perception and also public opinion forming. This shows that with internet-based media the acceptance of information becomes more similar and individual differences, especially age and education, are not to be an obstacle in adjusting existing public opinion.Keywords: age, education, change.org, perception, public opinion. ABSTRAKSeiring dengan perkembangan teknologi dan media massa, Change.org muncul dalam bentuk situs yang menjadi media pembentukan opini publik, penggalangan opini dilakukan melalui kampanye yang berusaha meminta dukungan terhadap opini publik yang dimunculkan. Penelitian ini bertujuan mencari apakah usia dan Pendidikan berpengaruh terhadap pembentukan persepsi dan opini publik melalui media Change.org. Penelitian ini merupakan penelitian survey yang bersifat eksplanatif, dengan sampel sejumlah 200 orang dari pengguna Change.org dengan pengambilan sample menggunakan teknik cluster sampling bertahap dari populasi di area DKI Jakarta. Analisis data menggunakan Structural Equation Modeling (SEM). Hasilnya menyatakan bahwa usia dan pendidikan tidak berpengaruh terhadap pembentukan persepsi dan juga opini publik. Hal ini menunjukkan dengan adanya media berbasis internet penerimaan informasi menjadi lebih seragam dan perbedaan individu khususnya usia dan pendidikan tidak menjadi kendala dalam penyesuaian opini publik yang ada.Kata kunci: change.org, opini publik, pendidikan, persepsi, usia

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