Customer Satisfaction in Commercial Banks Working in Jordan Anber Abraheem Shlash Mohammad Assistant Professor, Marketing Department Petra University, Jordan, B.O.Box: 961343, Amman 11196-Jordan E-mail: mohammad197119@yahoo.com Shireen Yaseen Mohammad Alhamadani Assistant Professor, Finance and Banking Department Petra University, Jordan Abstract The aim of this research was to examine the level of service quality as perceived by customers of commercial bank working in Jordan and it's effect customer
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were collected through a questionnaire survey, covering seven user groups – accountants, executives, bankers, tax officers, academics, financial analysts, and investors. The 264 responses received were analysed using the Kruskal-Wallis one-way ANOVA test. Findings – The results reveal that most use annual reports for obtaining information for share transactions. Despite the long delay in publishing many annual reports and lack of availability of these reports to the general public, the majority of
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How to Design Smart Business Experiments Design How to Managers now have the tools to conduct small-scale tests and gain real insight. But too many “experiments” don’t prove much of anything. Smart Business Experiments by Thomas H. Davenport hbr.org | E February 2009 | EVERY DAY, managers in your organization take steps to implement new ideas without having any real evidence to back them up. They fiddle with offerings, try out distribution approaches, and alter how work gets
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IFC Chris Burns, USAID Claire Mattei, Qtel Ann Mei Chang, US Department of State Bhanu Potta, Nokia Life Kaj-Eric Relander, Emirates Investment Authority Karthik Balasubramanian, Nokia Life Kyle Lederer, Qualcomm Laura Balkovich, Google Ken Banks, kiwanja.net and FrontlineSMS Colin Shepherd, IFC Louise Guido, Foundation for Social Change Maria Thomas, Axios Ventures Mary McDowell, Nokia Maura O’Neill, USAID Modupe Ladipo, Efina Cynthia Gordon, Qtel Dieter May, Nokia Daniel Radcliffe
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Baker Hughes INTEQ Oil Field Familiarization Training Guide 80912 Rev. B May 1996 Copyright © 1994 Baker Hughes INTEQ Baker Hughes INTEQ Training & Development 2520 W.W. Thorne Houston, TX 77073 United States of America 713-625-4415 This material cannot be reproduced in any manner or otherwise used in any presentation without the express written permission of Baker Hughes INTEQ Preface i Preface At Baker Hughes INTEQ, we have always prided ourselves on our
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Customer Satisfaction Survey for a Modern Greek Bank and Relationships Between Customer Satisfaction, Customer Loyalty, Complaints Handling and Recommendation. Spyridon G. Aliferis, University of Paisley Business School, Scotland, UK (June 2006) Dr. Panagiotis Kyriazopoulos ABSTRACT The main subject of this survey is to measure and understand the elements of customer satisfaction and its impact to business growth and future. One of the aims of this survey is to confirm
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items for test inclusion. Introduction Item Analysis describes the statistical analyses which allow measurement of the effectiveness of individual test items. An understanding of the factors which govern effectiveness (and a means of measuring them) can enable us to create more effective test questions and also regulate and standardise existing tests. There are three main types of Item Analysis: Item Response Theory, Rasch Measurement and Classical Test Theory. Although Classical Test Theory and
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Accounting and Management, 2008. Dissertation Committee: Professors Paul M. Healy, V.G. Narayanan & Thomas J. Steenburgh. HARVARD BUSINESS SCHOOL, BOSTON, MA Master of Business Administration degree, 2003. Graduated with High Distinction as a George F. Baker Scholar. UNIVERSITY OF OXFORD – MAGDALEN COLLEGE, ENGLAND Master of Arts degree in Mathematics, 1995 Bachelor of Arts degree in Mathematics, 1989. Graduated with Honors. Publications “Buy-Side vs. Sell-Side Analysts’ Earnings Forecasts” with Boris
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Scheduling and Information Collection Step 2. Patient Check-in and Payment Collection Step 3. Rooming and Measuring Vital Signs Patient Examination and Documentation Step 4. Patient Checkout Step 5. Post-Visit: Coding and Billing Post-Visit: Reviewing Test Results Coding and Reimbursement in Electronic Health Records Computer-Assisted Coding Clinical Tools in the Electronic Health Record Decision-Support Tools Tracking and Monitoring Patient Care Screening for Illness or Disease Identifying at-Risk Patients
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like manufacturers and distributors, as part of their purchasing process. All this information is stored in the company’s computer system, and “the need to procure materials…through a network…exposes an organization to network risk” (Smith, Watson, Baker, and Pokorski, 2007). This kind of risk can cause serious damage to the company’s assets, transactions, and reputation. Even worse, a company “may lose the confidence of customers who worry about the
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