Document Type

Closed Project

Publication Date

Spring 2017

Instructor

Ramin Neshati

Course Title

Decision Making

Course Number

ETM 530/630

Abstract

In this competitive world, technology is changing at very fast rate and people from all around the globe are contributing to it. The impact of technology in our lives is very immense and cannot be ignored. Technology is helping humans to track their fitness and take informed decision related to their health. The wearable technology is gaining a lot of popularity these days, The smart watch is one of the most prominent category of wearable technology. There are number of companies who are involved in making smart watches. Picking the best smart watch from the plenty of brand new devices is increasingly tough. These days, smart watches do much more than just keep time. They act as a companion to your Smartphone by delivering alerts, notifications, apps and more right on your wrist. The objective of this project is to use a decision model to determine which smart watch is best to buy when a buyer has plethora of options to choose from. Smart watch at its core is a watch which connects to internet via devices like smart phones or tablets. Smart watches allow the user for hands free operation, receives the information on the surrounding environment and It tracks the fitness by integrating sensors as input devices. The objective of this model is to help two segments of customers which are tech savvy and health conscious in choosing the best smart watch. To select the best smart watch for the targeted customers, Hierarchical Decision Model (HDM) has been used based on the criteria and sub criteria associated with the objective. In the study four alternatives are selected for the evaluation based on the perspective and criteria weights obtained by HDM model through the comparison. In this research, many criteria and sub criteria are selected based on the alternatives but many criteria are not considered which can be considered in future research. This research has been performed on four alternatives but in future it can be done on other alternatives also.

Description

This project is only available to students, staff, and faculty of Portland State University

Persistent Identifier

http://archives.pdx.edu/ds/psu/21440

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