...“Invention” or “Discovery” is the means whereby a writer or orator either finds (discovers) or creates (invents) content. In academic writing or speaking, invention often is thought to begin with research, but students also use invention techniques to help them prepare for research. Invention fosters critical thinking skills, so that as students do their research, they are more open to various problems and perspectives and more able to connect what they learn to their personal experiences and knowledge; invention also helps writers or speakers narrow a topic, clarify a thesis, develop ideas, or find arguments. In addition, once some preliminary reading or drafting is done, invention techniques can help he writer or speaker to refocus. Finally, these techniques are helpful for students who are blocked. Not all invention techniques are suited to all communication tasks. Encourage students to experiment with these strategies to find out which work for them. Clustering For those who need a visual picture of their ideas, clustering (also called visualizing) is a helpful method of invention. Clustering can be done as a part of brainstorming groups (see below) or by students working alone. What follows is a procedure for clustering to provide to students: 1. Write a word related to the topic in the middle of a page and circle it. 2. Think of other words that come to mind when you think of the word. Let your mind be playful. Don’t judge or evaluate; just let the words flow...
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...1 Overview of How to Write an Essay Writing essays is a major element of your education at the university level. Effective writing gives you the ability to express your ideas, theories, arguments, and projects clearly. The skills you acquire at the university level through writing essays will be aimed at practical business applications that you will be able to use in the workplace. The following information provides a succinct overview of the elements you need to know to begin writing an essay. It will help you on your writing journey. Types of Essays Narrative A narrative essay is a story told by a narrator. Generally, a narrative discusses the personal experience of the author (the first person point of view), but it can also be written about things that happen to others (third person point of view). A narrative typically involves characters, a setting, specific and vivid details, and a series of events that can include current incidents, flashbacks, or dialogue. Cause and Effect A cause and effect essay explores why events, actions, or conditions occur (cause) and examines the results of those events, actions, or conditions (effect). For example, a cause could be purchasing a new expensive home. The effect might be fewer family vacations, more time spent on upkeep, or less time with family because of extra work hours to pay for the home. Comparison and Contrast A comparison and contrast essay shows the relationship between two or more elements. The items can be compared...
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...ISSUE: BUSINESS INTELLIGENCE RESEARCH BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords: Business...
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...1 Overview of How to Write an Essay Writing essays is a major element of your education at the university level. Effective writing gives you the ability to express your ideas, theories, arguments, and projects clearly. The skills you acquire at the university level through writing essays will be aimed at practical business applications that you will be able to use in the workplace. The following information provides a succinct overview of the elements you need to know to begin writing an essay. It will help you on your writing journey. Types of Essays Narrative A narrative essay is a story told by a narrator. Generally, a narrative discusses the personal experience of the author (the first person point of view), but it can also be written about things that happen to others (third person point of view). A narrative typically involves characters, a setting, specific and vivid details, and a series of events that can include current incidents, flashbacks, or dialogue. Cause and Effect A cause and effect essay explores why events, actions, or conditions occur (cause) and examines the results of those events, actions, or conditions (effect). For example, a cause could be purchasing a new expensive home. The effect might be fewer family vacations, more time spent on upkeep, or less time with family because of extra work hours to pay for the home. Comparison and Contrast A comparison and contrast essay shows the relationship between two or more elements. The items can be compared...
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...The Learning Business Research Report BX2174: Research & Decision-Making for Business KARAN LAKHANPAL Student Number: 12908897 QIN YANG Student Number: 12653971 Lecturer: Dr Andre Kuah Contents 1. EXECUTIVE SUMMARY ............................................................................................ 2 2. BACKGROUND TO THE BUSINESS DECISION OR PROBLEM .............................................. 3 3. THE SPECIFIC RESEARCH OBJECTIVES TO BE ADDRESSED .............................................. 5 4. CRITICAL ANALYSIS OF THE METHODS ...................................................................... 6 5. RESULTS AND DISCUSSION ....................................................................................... 8 6. IMPLICATIONS FOR THE BUSINESS DECISION OR PROBLEM ........................................... 10 7. ETHICAL ISSUES .................................................................................................... 11 8. REFERENCES......................................................................................................... 13 9. APPENDIX ............................................................................................................ 14 The Learning Business Research Report | Campus: 10. 1 CHECKLIST OF ASSESSMENT CRITERIA .................................................................. 18 The Learning Business Research Report 1. Executive Summary ...
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...BUSINESS INTELLIGENCE RESEARCH BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords:...
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...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 or the impact of papers on the field. In contrast, in this article, we take a closer look at the entire CS research in the past two decades by analyzing the data on publications in the ACM Digital Library and IEEE Xplore, and the grants awarded by the National Science Foundation (NSF). We identify trends, bursty topics, and interesting inter-relationships between NSF awards and CS publications, finding, for example, that if an uncommonly high frequency of a specific topic is observed in publications, the funding for this topic is usually increased. We also analyze CS researchers and communities, finding that only a small fraction of authors attribute their work to the same research area for a long period of time, reflecting for instance the emphasis on novelty (use of new keywords) and typical academic research teams (with core faculty and more rapid turnover of students and postdocs). Finally, our work highlights the dynamic research landscape in CS, with its focus constantly moving to new challenges...
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...2009 World Congress on Computer Science and Information Engineering Simulation and Research on Data Fusion Algorithm of the Wireless Sensor Network Based on NS2 Junguo Zhang, Wenbin Li, Xueliang Zhao, Xiaodong Bai, Chen Chen Beijing Forestry University, 35 Qinghua East Road, Haidian District,Beijing, 100083 P.R.China information which processed by the embedded system to the user terminals by means of random selforganization wireless communication network through multi-hop relay. Thus it authentically achieves the purpose of ‘monitor anywhere and anytime’. The basic function of sensor network is gathering and sending back the information of the monitoring areas which the relevant sensor nodes are set in. But the sensor network node resources are very limited, which mainly embodies in battery capacity, processing ability, storage capacity, communication bandwidth and so on. Because of the limited monitoring range and reliability of each sensor, we have to make the monitoring areas of the sensor nodes overlapped when they are placed in order to enhance the robustness and accuracy of the information gathered by the entire network. In this case, certain redundancy in the gathered data will be inevitable. On the way of sending monitoring data by multi-hop relay to the sink nodes (or base stations) which are responsible to gather the data. It is necessary to reduce the redundant information by fusion processing. Data fusion is generally defined as a process...
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...lessons, principles and rules we are expected to live by. Ranging from how to live, what is right from wrong, how to treat ourselves and one another. Notwithstanding, as each lives their own lives each develops their own values and duty, amending old and creating new ones. Taking ownership of the consequences from the choices, decisions and actions one makes is considered by many as having personal responsibility. Traditional versus Non-Traditional Students Nowadays, it is more common to see individuals well in their years returning to school after having their own families and having professional experience under their belt. For many weighing their professional ambitions and family duties. Forbus, Newbold, Mehta (2011) conducted a research that reflects on the differences between the traditional and the non-traditional students’ expectations for the college experience. Noting that the non-traditional differ in interest, social activities, and levels of motivations from their counterparts. For the most part any college student, be it the traditional high school graduate or the non-traditional, have set goals entering postsecondary education. The majority of them is using the four components to validate college success. In no particular order, as each uses their values to set them. Obtaining a level that provides financial stability, completing a degree with a grade point average that is acceptable to them and finally completing it in a timely manner. In order to achieve this...
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...of Scientific Research ISSN 1450-223X Issue 20(2011), pp.135-151 © EuroJournals Publishing, Inc. 2011 http://www.eurojournals.com/ajsr.htm A Survey of Clustering Schemes for Mobile Ad-Hoc Network (MANET) Ismail Ghazi Shayeb Albalqa Applied Univesity, Amman, Jordan E-mail: ismail@bau.edu.jo AbdelRahman Hamza Hussein Jearsh University, Jearsh, Jordan E-mail: Abed_90@yahoo.com Ayman Bassam Nasoura Jearsh University, Jearsh, Jordan E-mail: nassuora@yahoo.com Abstract Clustering has been found to be an effective means of resource management for MANETs regarding network performance, routing protocol design, Quality of Service (QoS) and network modeling though it has yet to be refined to satisfy all the issues that might be faced by choosing this approach. Scalability is of particular interest to ad hoc network designers and users and is an issue with critical influence on capability and capacity. Where topologies include large numbers of nodes, routing packets will demand a large percentage of the limited wireless bandwidth and this is exaggerated and exacerbated by the mobility feature often resulting in a high frequency of failure regarding wireless links. In this paper we present acomprehensive survey and classification of recently published clustering algorithm, which we classify based on their objectives. We survey different clustering algoirthm for MANET's; highlighting the defining clustering, the design goals of clustering algorithms, advantages of clustering for ad hoc networks...
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...Ch11-H8566.qxd 8/8/07 2:04 PM Page 222 CHAPTER 11 Market segmentation YORAM (JERRY) WIND and DAVID R. BELL All markets are heterogeneous. This is evident from observation and from the proliferation of popular books describing the heterogeneity of local and global markets. Consider, for example, The Nine Nations of North America (Garreau, 1982), Latitudes and Attitudes: An Atlas of American Tastes, Trends, Politics and Passions (Weiss, 1994) and Mastering Global Markets: Strategies for Today’s Trade Globalist (Czinkota et al., 2003). When reflecting on the nature of markets, consumer behaviour and competitive activities, it is obvious that no product or service appeals to all consumers and even those who purchase the same product may do so for diverse reasons. The Coca Cola Company, for example, varies levels of sweetness, effervescence and package size according to local tastes and conditions. Effective marketing and business strategy therefore requires a segmentation of the market into homogeneous segments, an understanding of the needs and wants of these segments, the design of products and services that meet those needs and development of marketing strategies, to effectively reach the target segments. Thus focusing on segments is at the core of organizations’ efforts to become customer driven; it is also the key to effective resource allocation and deployment. The level of segment aggregation is an increasingly important issue. In today’s global economy,...
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...Networks (WSNs) is a very key research domain in order to design, development and implementation of energy effective algorithms. So, the major concern of researcher is energy efficiency in wireless sensor networks. WSNs acknowledged magnificent consideration from both industry and academic because of assure numerous latent applications in military and civilian areas. WSN consists of sensor nodes sensing the data, communication capabilities and data processing. Network can be deployed in the area of interest and collaborate to complete a task. WSN has multiple exclusive characteristics, such as memory constraints, computation, stern power, asymmetric data transmission, higher unreliability of sensor nodes and denser node deployment and presents several new challenges for the ultimate application and development of WSNs. In exacting, sensor nodes are operates without attendance and battery powered for a long period of time. In order to recharge or change these batteries of sensor nodes are quite difficult or impossible in most of the cases. In this regard, energy efficient routing protocols in wireless sensor networks are essential for exceeding the network lifetime of sensors. In this paper I present a comparatively survey of few prominent energy efficient routing protocols proposed in the literature for wireless sensor networks. I analyze and compare them by different approaches by using significant metrics. And finally, conclude and summarize the paper by some possible future direction...
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...www.elsevier.com/locate/atoures Annals of Tourism Research, Vol. 32, No. 1, pp. 93–111, 2005 Ó 2005 Elsevier Ltd. All rights reserved. Printed in Great Britain 0160-7383/$30.00 doi:10.1016/j.annals.2004.05.001 MARKET SEGMENTATION A Neural Network Application Jonathan Z. Bloom University of Stellenbosch, South Africa Abstract: The objective of the research is to consider a self-organizing neural network for segmenting the international tourist market to Cape Town, South Africa. A backpropagation neural network is used to complement the segmentation by generating additional knowledge based on input–output relationship and sensitivity analyses. The findings of the self-organizing neural network indicate three clusters, which are visually confirmed by developing a comparative model based on the test data set. The research also demonstrated that Cape Metropolitan Tourism could deploy the neural network models and track the changing behavior of tourists within and between segments. Marketing implications for the Cape are also highlighted. Keywords: segmentation, SOM neural network, input–output analysis, sensitivity analysis, deployment. Ó 2005 Elsevier Ltd. All rights reserved. ´ ´ Resume: Segmentation du marche: une application du reseau neuronal. Le but de la ´ ´ recherche est de considerer un reseau neuronal auto-organisateur pour segmenter le marche ´ ´ ´ touristique international a Cape Town, en Afrique du Sud. On utilise un reseau neuronal de ` ´ retropropogation pour...
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...Faculty: Social Technologies Table of contents I. Introduction 1.1. Introduction to research problem. 1.2. Research question. 1.3. Relevance of study. 1.4. Structure of the research work. II. The economy. The creative sector and its spatiality: the case of UK 2.1. Defining Creative Industries 2.2. Characteristics of Creative Industries 2.3. Nature of Production and Provision of Goods and Services 2.4. Creative Industries Employment 2.5. Urban Environments and Creative Industries 2.6. The culture-economy nexus 2.7. The creative sector as a production system 2.8.1. Local production clusters for global distribution networks 2.8.2. High rate of new business creation 2.9. The spatial dimension of the cultural production 2.10.1. The concept of cluster 2.10.2. Types of cluster 2.11. The creative economy as part of the knowledge economy Conclusion Reference list Introduction Creative industries are now more and more promoted as an important component of the “new economies”, which will drive the future economic growth. The economic development debates have now shifted from discussing countries to most often seeing urban areas as the drivers of countries economies and a blooming creative economy is frequently named among necessities for fostering this development. During the past two decades there has been an increasing attention both in academic research and policy making towards exploring the role of creative industries (further in the text –...
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...writing down initial thoughts about your writing subject. There are many different types of prewriting techniques, including the following: • Freewriting: You know you have to write a paper, but when you sit down to prewrite, nothing comes to mind. The best advice is to just start freewriting. Ask yourself the 5ws and 1h: Who? What? When? Where? Why? How? Write about anything you think of for a period of time (about 10 minutes) or to a certain length—perhaps one entire page—to spark the thought process. Connect a word to a previous word or to another word it suggests or take off on a tangent that comes to mind. Keep at it—without stopping to reread, edit, or judge—even if you have to write the same word repeatedly. • Brainstorming: Similar to freewriting, brainstorming is more compressed and focused. This technique also involves writing without stopping. The goal is to generate ideas about your assignment’s subject without any thought to organization. The tricky part is not stopping to correct the paper or to take a break. Just keep writing for the time allotted or until the page is full. • Listing: This technique involves making a list of your ideas, which are usually short notes on your thoughts and may appear similar to an informal outline. • Clustering or Mind-Mapping: This technique displays the relationship between ideas through drawing. Begin with your general topic in the middle of a page and draw a circle around it. From there, draw lines—or...
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