Browsing by Type of Research "Doctoral Thesis"
Now showing items 21-27 of 27
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SAP®’s Univariate Sales Forecasting Functionality: An Empirical Study
(2007)The accuracy of sales forecasts is a major determinant of inventory costs and service level driven revenues. Failure to establish future customer demand without a reasonable degree of certainty often leads to poor levels ... -
Small decisions towards social justice: How leaders of not-for-profit social services can be supported to include social justice in decision-making
(2023)This thesis explores how leaders of not-for-profit (NFP) social services in Aotearoa New Zealand can uphold social justice in our leadership practice. NFPs in Aotearoa New Zealand must confront some distinct challenges ... -
Support Vector Machine (SVM) aggregation modelling for spatio-temporal air pollution analysis
(2019)RESEARCH QUESTIONS: 1. Dealing with long term historical data of spatio-temporal is always challenging. SVM ensemble and other methods are used to handle long term historical data, but these methods result in slow ... -
Teacher coaching in Aotearoa New Zealand secondary schools : an exploratory study
(2017)Teacher coaching is a personnel development approach that has developed out of the popular concepts of sports, business and life coaching. The purpose of this study was to explore how teacher coaching is being implemented ... -
Tertiary education for social justice in an age of uncertainty
(2010-11-01)This thesis is located in the context of contemporary tertiary education and investigates two key influences on teachers and teaching. The first arises from the uncertainty and ambiguity that is attributed to postmodernism ... -
Tertiary learner mental health and wellbeing: The development of a national framework
(2021)This practitioner thesis explores the impact of tertiary study on the mental health and wellbeing of tertiary learners. I describe a dual practice approach combining two threads - the development of the work-based project ... -
Visualising vein pattern based on sparse auto-encoder algorithm
(2020)RESEARCH QUESTIONS: Q1: How is it possible to apply deep learning algorithms such as Autoencoder (AE) instead of current simple neural networks with limited capabilities for uncovering vein pattern? Q2: Can deep learning ...