ARC (Academic Research Collection) (College Dubin)
Not a member yet
359 research outputs found
Sort by
Analysis of the Internal Factors that affect the consumer buyer behaviour of gendered fashion items within the LGBTQ+ community in Ireland
Get PDFStudying consumer behavior is key to understanding what influences consumers’ buying decisions, as a result this understanding can help producers to decide on a product they can fill in the gap in the market and identify the products that are needed and the products that are obsolete. As a result the purpose of this research is to critically analyze the internal factors that affect the consumer buyer behavior of gendered fashion items within the LGBTQ+ community in Ireland. The focus of this research is the analysis of internal factors: motivation and perception. The results indicate that the individual\u27s consumer buyer behavior is impacted by biogenic needs, firstly by the need for clothing and secondly the need for shelter. Also is impacted by psychogenic needs, to fulfill their sense of achievement and to fulfill their sense of empowerment. Lastly, the individual\u27s perception that affects their consumer buyer behavior, is impacted by subjectivity, categorization and the individual’s expectations
CCT Professional Development Bulletin September 2020
Get PDFA summary of the Professional Development of staff in CCT College Dublin as of September 2020
The connection between people and the sustainable fashion industries; How people can become more aware of sustainable fashion.
Get PDFThis project consisted of in-depth research on the theme of sustainability in the fashion market. The main focus was the search for the connection between consumers and industries on the subject related to sustainability, how companies will seek adaptation to the sustainable fashion market and how people are valuing this subject over the years.
The research presented relevant data that show how the new generation is more concerned with environmental issues, but still not much is being done in practical actions to make this happen.
Technology proved to be a great ally for this sustainable fashion market, as analysed in this research, through technological means people have more access to information and greater awareness when they are consuming new products, the research pointed out a positive connection between communication, technology and sustainability in the fashion market
POD: Plenty Of Dogs
Get PDFFinding the ideal match for dog breeding has never been an easy task for most dog owners in different parts of the world, including Ireland. Seeking an opportunity to minimise this problem, a lovely user-friendly web application called Plenty Of Dogs (POD) was developed to facilitate dog owners to found a perfect match for their dogs, according to their search criteria. Besides that, dog owners will also be able to find new friends to their doggies. Initially, only the Republic of Ireland will be benefited from POD services.
To achieve this goal, this project was divided into five distinct phases: Planning, Analysis, Design, Implementation, and Testing. Respectively, all these different stages were accomplished respecting the main premises of the software development life cycle. Planning versus reality played an important role throughout the whole project. Results, technical solutions, and challenges are discussed comparing what worked well to what did not work as expected.
All architecture designed to develop POD is also presented, emphasising the use of HTML, CSS, JavaScript, and Bootstrap on the client-side, PHP on the server-side, MySQL database, and AWS to the deployment of the application on the cloud platform. Then, a general overview of the whole development is made presenting the final version of the prototype and all documents produced along with the project. A suggestion for further works is given and necessary improvements are highlighted
Using Object Detection Algorithm and Optical Character Recognition to Read Data from alphanumeric tags in text
Get PDFThe present document explores the use of machine learning techniques, specifically supervised learning and classification. It applies those techniques to create a solution for a real world company that provides medical products and services to hospitals. This project will deal with streamlining the calibration of medical weighing scales. The developed application will use object detection and character recognition to identify and classify a digital image of a scale’s tag, and fill in a form with the corresponding data. The main reason for the need of this application is to avoid human errors and automate the collection of data from the scales