Factors influencing ERP implementation in manufacturing industries in India Introduction The global financial crisis provided an opportunity to many small and medium scale Indian enterprises to expand their business operations to other countries by acquiring businesses overseas. The crisis made many such companies change their way of conducting business by adopting sophisticated business practices. Such an initiative has taken them a step closer to
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G Model HM-975; ARTICLE IN PRESS No. of Pages 8 International Journal of Hospitality Management xxx (2010) xxx–xxx Contents lists available at ScienceDirect International Journal of Hospitality Management journal homepage: www.elsevier.com/locate/ijhosman Hospitality crisis management practices: The case of Indian luxury hotels Aviad A. Israeli a‚∗ ‚ Asad Mohsin b‚1 ‚ Bhupesh Kumar c a Department of Hotel and Tourism Management‚ Ben Gurion University of the Negev‚ Beer-Sheva
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Written Analysis of the Case (WAC) Format I – Executive Summary This part presents an overview on what the case study is about‚ aside from the profile of the company or individual that is involved in the study. This should be limited to only one (1) paragraph. II – Industry Analysis Threat of Substitutes * New or emerging substitutes for a product will change competitive forces. This can be influenced by things such as the costs and profitability of the substitute product‚ how easy it is
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Which way should the pendulum swing?” Human factors can be defined as “the technology concerned to optimize the relationship between people and their activities by the systematic application of the human sciences‚ integrated within the framework of system engineering” (Edwards‚ 1988‚ p. 9). Human factors have evolved over the years since the birth of tools many millennia ago (Civil Aviation Authority‚ 2002). The modern evolution of human factors happened in the last century (Civil Aviation Authority
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be addressed. Talent management requires HR professionals to understand how they define talent‚ who they regard as ‘the talented’. Based on a sample study of 70 respondents from the public and private service sector employees using factor analysis‚ seven important factors were found which constitute talent. It was also found after applying non-parametric Mann Whitney test that there is no significant difference between the opinion of public and private sector respondents. A model has been developed
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of changing features. The number of dimensions considered for the first factor analysis was 14 (14 variables) during the period of 2002-05 and for second factor is 54 (54 variables) during the period of 2006-09. The demographic profile is different because of two sets of data has taken during two different timings. The changing attitude of Indian Customers can be thoroughly known through the factor analysis. Key Words: Factor‚ Demographic‚ Likert Scale Introduction: The credit card culture in India
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Synthesis of External Factors—EFAS After strategic managers have scanned the societal and task environments and identified a number of likely external factors for their particular corporation‚ they may want to refine their analysis of these factors using a form such as that given in Table 3.4. The EFAS Table (External Factors Analysis Summary) is one way to organize the external factors into the generally accepted categories of opportunities and threats as well as to analyze how well
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George Street Parliament Square London SW1P 3AD In association with: The Bartlett School University College London‚ WC1E 7HB © RICS‚ The Bartlett School‚ UCL and the contributors First published 2006 ISBN: 978-1-84219-307-4 A Multiple Decisive Factor Model for Construction Procurement System Selection S. Ratnasabapathy and R. Rameezdeen Department of Building Economics‚ University of Moratuwa‚ Moratuwa‚ Sri Lanka; shiyalk@yahoo.co.uk The procurement system is a key means through which the client
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1. Ask someone “Do you want to see bofa?” They respond “Sure‚ why not?” You then call out “Bofa Deeeeeez Nuts!” It is then up to you whether you honor their request to actually see bofa. Originality Factor 8: We only heard this once before it moved us so deeply as to create this website. Effectiveness Quotient 10: Almost no one sees this coming. They may not understand why you would ask if the want to see bofa‚ but they will have no idea that an affirmative response may give them a view of your
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January 2012. The collected data was reduced with the help of Factor Analysis. The extraction method used was Principal Component Analysis and the rotation method used was Varimax with Kaiser Normalization. The reliability of the data was establised using Cronbach’s coefficent Alpha. Major results: The study revealed that store atmospherics‚ schemes and offers‚ quality of products and merchandise availability are the most important factors influencing retail store choice. Most of the respondents prefer
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