﻿<?xml version="1.0" encoding="UTF-8"?>
<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>Journal of Business and Management Sciences</journalTitle>
    <eissn>2333-4533</eissn>
    <publicationDate>2017-08-28</publicationDate>
    <volume>5</volume>
    <issue>3</issue>
    <startPage>77</startPage>
    <endPage>84</endPage>
    <doi>10.12691/jbms-5-3-2</doi>
    <publisherRecordId>JBMS2017532</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">A Quantitative Assessment of Relationship between E-Government Services and E-Feedback Methodology</title>
    <authors>
      <author>
        <name>Mohammad Abdallah Alryalat</name>
        <email>mohammad.alryalat@hotmail.com</email>
        <affiliationId>1</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Faculty of Business, Al-Balqa Applied University, Salt, Jordan</affiliationName>
    </affiliationsList>
    <abstract language="eng">Technology is an increasingly important tool for both the collection of inputs from citizens and the delivery of essential government services. Previous research offers various theories on how e-government practices can synthesize the conceptual design of governmental services. This quantitative analysis study examines the relationship between provision of e-government services using various technologies and the effectiveness of their e-feedback collection method. A survey methodology is deployed to random sample size (N=150) in metropolitan and micro-politan statistical areas within the United Arab Emirates (UAE). A simple percentage method, chi-square test, tables, and weighted average is used for picture analysis of e-government services users. The study does not analyze the effectiveness of technology tolls employed for the services, importance of e-feedback, and verification of actual patronage of e-government services in making policy decisions. However, the descriptive results indicate that e-government services were accessible to only 49.1% of citizens in the test sample with expected expansion of greater than 67%. The study uses multiple linear regression to identify significant predictors of present e-government practices to reveal connections between e-feedback collection methods, e-government practices, and their effectiveness.  The results support the conclusion that e-feedback methods provide opportunities to increase citizen influence in shaping government services using e-government approaches. This study contributes to social change by providing a framework that guides the implementation of e-government services to citizens.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/jbms/5/3/2/jbms-5-3-2.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>
        <b>
        </b>e-government services</keyword>
      <keyword>e-feedback ratings</keyword>
      <keyword>e-government practice</keyword>
    </keywords>
  </record>
</records>