cues other than name recognition‚ they were able to assess and accurately determine the importance of name recognition in electoral decisions. Other cues that were identified within the study included gender‚ incumbency status‚ spending‚ etc. The approach to this study was very deductive—the study started with basic name recognition progressively dials in on it’s importance compared to other cues. Now‚ the independent variable in each of the studies is going to be name recognition. Who the subjects
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Decision-Making Process: Improving Our Ability to Make Decision Facing a situation‚ you have to decide. For example‚ the fire surrounds you: What do you do? Jump through the windows and risk to kill yourself or to wait the firemen and risk to be burned to death if they come to late? Every decision that we make or don’t make shapes our future. Everyone tries to make good decisions. However‚ it is easy to overlook an important factor‚ miss a desirable option‚ or base the decision on unreliable
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“The Buying Decisions of ‘Consumers’ On the Use of Microsoft or Apple Products” Submitted By: SANUSI SANI BUHARI Student No: 200922R7018 The Dissertation has been submitted to the Skyline University College In partial Fulfillment of the Degree: Bachelor of Business Administration (International Business) December-2012 Acknowledgement The writing of this dissertation has been one of the
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Related Literature Related literatures refer to the list of reference related to the study being conducted. This will serve as a guide. According to: Anil K. Jain‚ Brendan Klare‚ and Unsang Park of Michigan State University. Face Recognition Face recognition is the task of recognizing a person using digital face images. A FRS is typically designed to output a measure of similarity between two face images. Automated FRSs typically involve finding key facial landmarks (such as the center of
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said Jackie Fenn‚ a Fellow in emerging trends and technologies for Gartner‚ a market research firm. GESTURE-RECOGNITION TECHNOLOGY In the early 1960s‚ users could move a light-emitting pen to control the Sketchpad computer-aided design system. Several subsequent commercial systems also worked with light-emitting pens. Research into camera-based computer vision for gesture recognition began in earnest in the early 1990s at places such as the Massachusetts Institute of Technology Media Lab‚ Japan’s
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The term Consumer can be referred to an individual or a group of people‚ such as tourists. The process of analyzing such bodies is very important‚ so as to get certain estimations about the new or ongoing businesses progressions. Tourist consumer behavior is an occurrence which can be described and explained in many different forms such as the observation of decision making‚ purchasing patterns and habits of the general public (Yadin‚ 2002). Another more self-explanatory explanation is the study
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Facial recognition technology is a very well-known technology because of the high security it provides to crucial businesses and government agencies. According to the FBI this technology was‚ "Developed in the 1960s‚ the first semi-automated system for facial recognition required the administrator to locate features (such as eyes‚ ears‚ nose‚ and mouth) on photographs before it calculated distances and ratios to a common reference point" (Facial Recognition). Government agencies and crucial companies
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a framework for decision making that can be applied and used across the board for health‚ wealth‚ and happiness‚ as well as other facets of life. They introduce behavioral economics to explain how decisions can be influenced so that a specific outcome is chosen. To lay the foundation for the decision making stage‚ Thaler and Sunstein establish the significance of a choice architect. A choice architect has the responsibility for organizing the context in which people make decisions (Thaler & Sunstein
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MUDRA INSTITUTE OF COMMUNICATIONS A structural equation model to understand the consumer purchase decision process in the Indian automobile industry : A case of mini and compact cars Ankit Kalkar‚ 008A 23rd February‚ 2012 Guided by: Dr. Rajneesh Krishna Acknowledgements I would like to thank Dr. Rajneesh Krishna for assenting to guide me through the course of my dissertation. It is because of his unrelenting support and able guidance that this thesis has come into being. I would
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Curtin University of Technology Metropolitan Campus Sem 2‚ 2012 Entrepreneurship 300 Literature Review Component 1: Opportunity Recognition Student Name: Mohd Fikri Bin Kamarudin Student ID: 15146339 Tutor ’s Name : Ms Nava Krishnan Day & Tutorial Time : Tuesday(12-4pm) Date Submitted : 14th August 2012 1.0 Introduction Entrepreneur and Company Background – Frezawa Engineering Sdn Bhd The entrepreneur that will be interview for this project is Mr Kurian Zachariah‚ founder of
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