decision makers rather than replace them * Supports all phases of the decision-making process * Focuses on effectiveness of the process rather than efficiency * Is under control of the DSS user * Uses underlying data and models * Facilitates learning on the part of the decision maker * Is interactive and user-friendly * Is generally developed using an evolutionary, iterative process * Can support multiple independent or interdependent decisions * Supports individual
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CONTENTS: CASE STUDIES CASE STUDY 1 Midsouth Chamber of Commerce (A): The Role of the Operating Manager in Information Systems CASE STUDY I-1 IMT Custom Machine Company, Inc.: Selection of an Information Technology Platform CASE STUDY I-2 VoIP2.biz, Inc.: Deciding on the Next Steps for a VoIP Supplier CASE STUDY I-3 The VoIP Adoption at Butler University CASE STUDY I-4 Supporting Mobile Health Clinics: The Children’s Health Fund of New York City CASE STUDY I-5
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Abbreviated version of this report is published as "Trends in Computer Science Research" Apirak Hoonlor, Boleslaw K. Szymanski and M. Zaki, Communications of the ACM, 56(10), Oct. 2013, pp.74-83 An Evolution of Computer Science Research∗ Apirak Hoonlor, Boleslaw K. Szymanski, Mohammed J. Zaki, and James Thompson Abstract Over the past two decades, Computer Science (CS) has continued to grow as a research field. There are several studies that examine trends and emerging topics in CS research
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CHAPTER ONE 1.1 INTRODUCTION 1.2 Background of the Study The new millennium brought with its, new possibilities in terms of information access and availability simultaneously, introducing new challenges in protecting sensitive information from some eyes while making it available to others. Today’s business environment is extremely dynamic and experience rapid changes as a result of technological improvement, increased awareness and demands Banks to serve their customers electronically. Tanzania
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Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbruecken, Germany Richard Hull Jan Mendling Stefan Tai (Eds.) Business Process Management 8th International Conference, BPM 2010 Hoboken, NJ, USA, September 13-16, 2010 Proceedings 13 Volume Editors Richard Hull IBM Research, Thomas J. Watson Research Center 19 Skyline Drive, Hawthorne, NY 10532, USA E-mail: hull@us
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Exam Name___________________________________ MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1. A characteristic or quality describing an entity is called a(n): 1. _______ A) attribute. B) key field. C) tuple. D) field. Answer: A Diff: 1 Page Ref: 230 2. The data hierarchy goes from bits and bytes to: 2. _______ A) fields, records, files, and databases. B)
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Production Planning with Load Dependent Lead Times and Sustainability Aspects Institute of Information Systems Department of Business Sciences University of Hamburg In Partial Fulfillment of the Requirements for the Degree of Doktor der Wirtschaftswissenschaften (Dr. rer. pol.) Cumulative Dissertation submitted by Julia Pahl Head of board of examiners: Prof. Dr. Knut Haase First examiner: Prof. Dr. Stefan Voß Second examiner: Prof. Dr. Hartmut Stadtler Date of thesis discussion:
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4. 4.1 Big Data Introduction In 2004, Wal-Mart claimed to have the largest data warehouse with 500 terabytes storage (equivalent to 50 printed collections of the US Library of Congress). In 2009, eBay storage amounted to eight petabytes (think of 104 years of HD-TV video). Two years later, the Yahoo warehouse totalled 170 petabytes1 (8.5 times of all hard disk drives created in 1995)2. Since the rise of digitisation, enterprises from various verticals have amassed burgeoning amounts of digital
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Introduction to Centaur Partners SaaS Market Overview Centaur Partners Mergers & Acquisitions, Private Placement Advisory, and Transaction Consulting May 2015 CONFIDENTIAL – NOT FOR DISTRIBUTION © 2015, Centaur Partners │Confidential | Technology Market Overview IT Storage IT Infrastructure NASDAQ Composite IT Security BigData 160 SaaS Internet Digital Media 150 140 130 120 12% 110 100 90 80 5/7 6/7 7/7 8/7 9/7 10/7 11/7 12/7 1/7
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1 Lesson: 2 HRM functions Contents: Elements of HRM functions Importance of HRM functions Personnel functions HRM vs. Personnel Functions HRD Instruments HRD Processes HRD Outcomes Appendix: 2 Articles on HRD Learning Objective this Unit By the end of this Unit, you should be able to: Give concise definition for HRM functions. Clearly articulate the difference between HRM and Personnel philosophy and functions. Describe the various instruments/functions of HRM. Know the processes resulting
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