...Own Institute Macquarie University Southern Cross University Top Education Institute The University of New England The University of New South Wales The University of Newcastle The University of Sydney University of Technology, Sydney University of Western Sydney University of Wollongong Williams Business College NORTHERN TERRITORY Charles Darwin University QUEENSLAND Australian Catholic University Bond University Central Queensland University Christian Heritage College Griffith University James Cook University Queensland University of Technology The University of Queensland The University of Southern Queensland University of the Sunshine Coast SOUTH AUSTRALIA Flinders University Kaplan Business School The University of Adelaide University of South Australia Open Universities (conferred by Uni of SA) TASMANIA University of Tasmania VICTORIA Australian Catholic University Cambridge International College Carrick Higher Education Deakin University Holmes Institute Holmesglen Institute of TAFE La Trobe University Melbourne Institute of Technology Monash University Northern Melbourne Institute of TAFE RMIT University Swinburne University of Technology The University of Ballarat The University of Melbourne Victoria University WESTERN AUSTRALIA Curtin University of Technology Edith Cowan University Murdoch University The University of Notre Dame Australia University of Western Australia SINGAPORE Nanyang Technological University Singapore Management University Page 3 3 3 3 3 4 4 4 4 4 5...
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...Decision Making Serika Foreman BUS 606 Quantitative Methods July 30, 2014 Grand Canyon University Decision Making Introduction Analytic competitor can be described as an organization engaged in the committed activities of accumulating data, organizing and analyzing it into meaningful information, and following through with business decisions and activities informed by that information. In order for organizations to prosper as an analytics competitor they must use analytics data because most companies are offering similar products and services. They also must know what the customer want and how much they are willing to pay for that product. Competitors should also know the compensation costs, turnover rates and how to calculate how much personal contribute to or detract from the bottom line and how salary levels relate to individuals’ performance (Davenport 2006). When you define your key industrial competitive pressures can provide a framework for developing strategies for your growth. Analyzing your primary competitor and identifying their strengths, weakness, opportunities and threats (SWOT Analysis) help determine target markets, marketing plan, customer service, sales forecasting and sales planning. Competition in business is not new. Competing on Analytics is rapidly becoming not just a good idea, but vital for more and more companies as the economy squeezed from all sides (Taylor 2007). “Organizations that become more analytical have leaders who fully embrace...
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...audience’s attitude and preference have always significantly influence industries’ strategies, the organizations who can make the good audience consideration usually can achieve a better performance. However, with the rapid development of new technologies, the audiences becoming elusive – hard to pin down; define; measure and manage. (Lecture Notes, 2015) It has indicated that to consider how can different research methodologies help or affect industries to describe and understand the audiences could be necessary. This essay will discuss 2 types (Quantitative and Qualitative) of methodology which used often to research on audience, to analysis their benefits and disadvantages; make the statements based on examples and give the conclusion. Quantitative survey Research Firstly, quantitative research is a common and useful methodology to research on audience, this methodology has basically include survey research; content analysis and so on. In order to analysis why quantitative research method is useful, to define what does audience research has included is necessary. As Rose (2013) has indicated: “Audience research usually can be defined as a type of communication research that is conducted on specific audience segments to gather information about their attitudes;...
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...interactively test and assess the user-interface of a product, method or set of instructions. Presenting and analyzing data are very important steps in process. The improvements developers and technical writers make with their data define exactly how the end product will be when completed. Understanding the differences in the types of data tabulated is vital to understanding how results are analyzed. In usability testing, there are two types of data – qualitative and quantitative. Quantitative research must measure the products in an objective, quantitative and statistically valid way. This type of data recorded must be hard evidence, free of context and exact. Qualitative data is collecting, analyzing and interpreting data by observing how people respond through their opinions and actions. Data is generally collected through gathering information from focus groups and in-depth interviews with users. Quantitative research is defined as objective, while qualitative is subjective. The differences between qualitative and quantitative data are very important in improving a product, method or set of instructions. In our case, we established our primary example as that of a tester documenting the experience a user has while trying out a new iPhone game application for the first time. With the purpose of reporting and analyzing the data, having two different types of data are at the center of improving the user experience. The Quantitative data from a user’s experience with the app might be...
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...the ability to give detailed information about future measurements, challenges of future events, and the changes in the environment. It can also analyze present data and effective planning in both the short run and the long run fully depends on the forecasts established for the company’s products. Forecasting gives confidence in those making important decisions due to the relevant and reliable information predicted. Forecasting may involve the use of historical data through mathematical equations to track future trends, which is known as quantitative forecasts. Quantitative methods of forecasting falls into two categories, the Time Series Models such as Naïve Approach, Moving Averages and Exponential Smoothing as well as the Associative Model that includes Trend Projection and Linear Regression. Forecasting may also be used in a more subjective or intuitive prediction if historical data is not present, which is known as qualitative forecasts. This category of forecasting involves four specific techniques used, Jury of executive opinion, Delphi Method, Sales Force Composite, and Consumer Market Survey. Virtually all executives who are making decisions evaluate and consider some sort of forecast. As our knowledge increase about the general principles of forecasting the more accurate Jwlr’s predictions will be for the future sales of our product. Forecasting will be essential in predicting how our new NFC Rings will do in the market. Forecasting Method Jwlr...
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...Information Security Policy for E-government in Saudi Arabia: Effectiveness, Vulnerabilities and Threats [Name of the Writer] [Name of the Institute] Executive Summary Introduction: In many countries, the implementation of the E-Government has proved to be useful in providing efficient services to the consumers. This increases the speed of the work and does not cause any unnecessary delays. All these aspects matters for the efficient service of the Government work. In the end, it proves to be beneficial for both Government and the citizens living in Saudi Arabia. Therefore, in this study, all the issues related to the Information Security Policy will be discussed in detail. The research study is worth for a number of reasons. Firstly, it will help in assessing the degree of effectiveness of the present security policy, security holes in the policy, and threats not addressed by the policy. It, in turn, would help in coming up with measures of ensuring that the policy is security-oriented, which increases citizens’ confidence in using e-government services. Literature Review: The primary purpose of producing literature review is to support the findings of this study via the theoretical justifications obtained from literature. The review revealed that in Saudi Arabia, there is the absence of agencies to monitor the accountability of e-government services. Most of the workers of offices in Saudi Arabia lack professionalism, and this is a great weakness in the implementation...
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...A Report On “RESEARCH METHODS IN COMPUTER SCIENCE” Submitted by Nitish Ashok Shinde (5210) ME Comp- I 2nd shift Introduction Computer Science has proved its importance in various domains of science like natural sciences, social sciences, humanities and cultural science [1]. Computer science (CS) characterized as an empirical discipline, in which each new program can be seen as an experiment, the structure and behavior of which can be studied [2]. The term Information and Communication Technology (ICT) is analogous to Information Technology, but it stresses more on role of technologies like telecommunications, computers, software's, etc, which enable users to access, store, and manipulate information [3]. Research methods...
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...collection involves the collection of data by using different methods of data-collecting tools. There are two methods for collecting data in scientific research: primary data collection method and secondary data collection. Primary data are sets of data researchers collect from participants and secondary data are sets of data researchers collect from literatures, document from precedent researches and using internet. Primary data collection for quantitative studies consists of interviews, questionnaire survey and observational method. But here the researcher used questionnaire survey to collect data. A total of 25 participants were selected using convenience sampling method. Participants included first, second, third...
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...IMPORTANCE OF QUANTITATIVE TECHNIQUES IN MANAGERIAL DECISIONS *P.Murugesan Abstract The term ‘Quantitative techniques’ refers to the methods used to quantify the variables in any discipline. It means the application of subjects like mathematics and statistics, econometrics and operations research to understand and solve problems.. It is a study of the application of differential calculus, integral calculus and matrix algebra, measures of central tendencies, measures of averages, correlation and regression etc. It also includes the application of the techniques of management science such as Linear programming, Game theory, CPM and PERT analyses to business problems. The relevance and usefulness of Quantitative Techniques in seven functional areas of Management are discussed in this paper. Introduction: Truly, the importance of Quantitative proficiency cannot be over emphasized to Management Professionals! This body of knowledge involving quantitative approaches has been given various names likeBusiness Mathematics, Business Statistics, Operations Research, Decision Science and Management Science. All are concerned with rational approaches to decision making based on the scientific method. For example, consider the following simple mathematical problem: A) “A Mayor of a town wants to improve the bus services between 2 destinations falling within his district. The destinations are 1 hour journey apart and he wants the bus services in such a way that a traveler need not wait for more...
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...preparation for continued graduate work in Psychology or another field, such as business, medicine, or computer science. Many employers are interested in the skills that psychology majors bring to collecting, analyzing, and interpreting data and their experience with statistics and experimental design." (What is psychology?). Another benefit is if you seek a graduate degree according to the According to American Psychological Association (2015), "Opportunities for people with advanced degrees in psychology are expanding in number as well as in scope. The move toward preventing illness rather than merely diagnosing and treating it requires people to learn how to make healthy behavior a routine part of living."(What is psychology?). This information is one of the most beneficial if you ask me. I also really want to enjoy what I do, and this is one thing that is important to me because if I am not enjoying my work then it feels like a task that will never end. According to...
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...Vol. 3, No. 5 Modern Applied Science A Study of an Evaluation Model on Manufacturing Execution System in Paper-making Enterprises Zhihong Xu Key Lab for Paper Science and Technology of Ministry of Education Shandong Institute of Light Industry Shandong 250353, China E-mail: xzh1385@163.com Feng Huang The State Key Laboratory for Microbial Technology Shandong University, Shandong 250100, China Jiachuan Chen & Guihua Yang Key Lab for Paper Science and Technology of Ministry of Education Shandong Institute of Light Industry Shandong 250353, China Abstract Manufacturing execution system (MES) is a production management technology and real-time information system which lies between the enterprise upper layer (ERP) and the bottom layer (PLC/DCS) and faces to workshop layer. MES's concept, its functional model and its important status in the manufacture industry are introduced in this article. Based on the production practice in Kunshan Banknote Paper Mill, an evaluation model of EMS is set up. The model also has a certain reference value to the construction of management information system (MIS) for the relative industries. Keywords: Pulp and paper industry, Manufacturing execution system, Furzzy evaluating method 1. Introduction The construction of informationization has made considerable progress with years of development in domestic paper industry. Large and medium-sized paper-making enterprises has widely adopted Enterprise Resource Planning (ERP) for enterprise production...
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...Introduction Risk management is the process of identifying vulnerabilities and threats to information resources used by a company in reaching business objectives and deciding what measures to take in reducing risk to an acceptable level. An effectual risk management process is an essential component of a successful IT security program. The paramount goal of an organization's risk management process should be to protect the organization and its ability to perform their mission, not just its IT assets. With that in mind, the risk management process should not be treated primarily as a technical function by IT experts, but rather as an essential management function of the organization. The objective of performing risk management is to enable the organization to accomplish its mission(s) (1) by better securing the IT systems that store, process, or transmit organizational information; (2) by enabling management to make well-informed risk management decisions to justify the expenditures that are part of an IT budget; and (3) by assisting management in authorizing (or accrediting) the IT systems on the basis of the supporting documentation resulting from the performance of risk management . “Effective risk management begins with a clear understanding of the organization's appetite for risk2. This drives all risk management efforts and impacts future investments in technology. Risk management encompasses four key elements: Risk identification, risk mitigation, risk acceptance...
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...QUANTITATIVE ANALYSIS: DESCRIPTIVE STATISTICS Introduction Suppose that we have carried out a survey on the effect of carrying out a management audit with three groups of nine participant institutions each i.e. small medium and large. Each group was given the same survey questions in questionnaire format and the answers from the scores were tagged between 0 and 20. What is to be done with the raw scores? There are two key types of measures that can be taken whenever we have a set of scores from participants in a given condition. First, there are measures of central tendency, which provide some indication of the size of average or typical scores. Second, there are measures of dispersion, which indicate the extent to which the scores cluster around the average or are spread out. Various measures of central tendency and of dispersion are considered next. For this assignment, a survey is the type of data collection method in consideration and how the results of that survey would be analysed. SURVEYS Surveys are a very popular form of data collection, especially when gathering information from large groups, where standardization is important. Surveys can be constructed in many ways, but they always consist of two components: questions and responses. While sometimes evaluators choose to keep responses “open ended,” i.e., allow respondents to answer in a free flowing narrative form, most often the “close-ended” approach in which respondents are asked to select from a range of...
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...and government organizations. However, Selltiz (2009), points out that despite the increase in the research work in the last couple of years, little attention is paid to research methodologies. A large number of analysts have focused their attention on the quantity of the research studies rather than the quality of the studies. The result is that most of the research studies especially in the social sciences tend to be futile. This essay will evaluate two articles and summarize data collection instruments, sampling methods and statistic approaches using in the articles. The two articles include the ‘the impact of Information technology on the HR function and transformation’ and ‘how will competition change HRM in Retail and Banking? A strategic Perspective’. The article ‘how will competition change HRM in Retail and Banking? A strategic Perspective’, has applied sampling techniques while the other article has not used the techniques. Some of the sampling methods using in this article include simple sampling and stratified sampling. Let describe the weakness and strength of the two sampling as applied in the article. Simple random sampling is the simplest form of sampling. An item is selected randomly from the population to represent the entire population. For instance, a fruit is selected from a basket of fruits to represent all the fruits in the basket. In the article, the searcher uses the technique to choose the ten organizations which they intended to...
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...Innovative ideas into products 1-The first stage in the innovation process is to find the “new” ideas and insights to commercialize. The first stage in the innovation process is to find the “new” ideas and insights to commercialize. 2-To enable successful innovation, CEOs need to create both an innovation agenda and a culture tolerant of risk.This includes setting expectations for innovation, and developing methods to measure the success of innovation activities. 3- Transforming ideas to novel products, processes and services Effectively transforming ideas to commercially useful applications is not easy, and many innovations fail in this stage of the process. 4- Scaling value creation CEOs can realize value from innovations when they scale to successfully help to create significant revenues or generate substantial savings. Process vs Product innovation Product innovations are embodied in the outputs of an organization—its goods or services. For example, Honda's development of a new hybrid electric vehicle is a product innovation. Process innovations are innovations in the way an organization conducts its business, such as in the techniques of producing or marketing goods or services. Process innovations are often oriented toward improving the effectiveness or efficiency of production by, for example, reducing defect rates or increasing the quantity that may be produced in a given time. For example, a process innovation at a biotechnology firm might entail developing a...
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