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Green bonds are facing prosperity in international and China’s bond market, and becoming increasingly important in the overarching aim of financing green projects to reduce environmental impacts. Therefore, the green degree is an important topic. Based on literature review and interviews, this study defined five key stakeholders in green bond market in China. The regulators are the primary drivin

How audiences engage with news has not always gotten a lot of attention in academic and industry research; and, even then, it is often studied in terms of exposure and interaction. This does not fully capture the dynamism and multidimensionality of this phenomenon; and industry attempts to apply market principles to engagement risks depoliticizing and reducing it to economic values. Rather than po

Title: Implementing Change In Organisations: A Study on Limiting Factors for Managers in the Service industry. Purpose: The overall purpose of this study is to have a deeper understanding of how change affects employees and an organisation and what are the factors could hinder such a change. This study will draw on the theory of Change Management, in particular, the model of Prosci ADKAR. Method

Though the diffusion of electric vehicle (EV) is high on the global agenda, and there are efforts to speed up the shift: some countries intend to ban the sale of internal combustion engine vehicles (ICEV), and some OEMs (original equipment manufacturers) have announced the goal of electrification, the diffusion of EV is slowly. Technological innovation theory explains that we need to harmonise tec

In this thesis, we introduce a theoretical framework that can act as a foundation when develop-ing and adopting a BYOD policy. Using BYOD within organizations is a growing concept and continues to evolve as technology gets better, cheaper and more advanced. Our literature study indicates that the biggest advantage in regard to implementation of BYOD is cost reduction, moving the actual cost to the

Purpose: The purpose of the study was to understand the key managerial challenges associated with Big Data. The research aimed to look at the possible obstacles that managers need to overcome while implementing Big Data. The main research question is : What are the main managerial challenges associated with Big Data and what steps are needed to overcome those? Methodology: Based on the concepts of

Sustainability has long been serving dominant political and economic interests under the guise of sustainable development. This political and economic co-option of sustainable development has given rise to a new slogan: “system change, not climate change”. Our crisis is no longer just an environmental one, but a structural one, in which our means of living have outdistanced the ends for which we l

The incineration furnace at National Veterinary Institute (SVA) in Uppsala, Sweden, runs approximately 2,150 hours a year and generates a large amount of waste heat. Some of this heat is partially recovered, and is used for heating one of the main buildings during the furnace operation. However, around 2,000 MWh is wasted annually due to unavailability of any storage system. This wasted heat is ap

The striatum is the main input nucleus of the basal ganglia. Striatal subregions, which play different roles in motor functions, receive inputs from different cortical regions. Regulation of synaptic plasticity at the level of corticostriatal synapses is believed to underlie habit formation and motor learning. Alteration of plasticity at the level of corticostriatal synapses has been associated wi

Inventory control is a subject that impacts more or less every section of most businesses, hence companies today view it as a crucial problem of strategic importance (Axsäter, 2015). Managing inventory is a complex task which can be made even more complex by considering multiple items interacting with each other throughout the supply network. This master thesis attempts to show, through a case stu

This paper presents solutions to the modelling of frequency data of species labels, but the data is incomplete in the sense that some rarely-occurring species labels give zero observed frequency. The data can be modelled by a monotone probability function with parameters to be estimated, and yet, due to the order constraints and the incomplete data, using conventional parameter estimation methods

Objective: Previous research using personality traits to predict life outcomes has typically utilized the Big Five factors and, occasionally, their facets. However, recent research suggests that using items (reflecting personality nuances) can account for greater predictive variance. The present study examines the predictive validity of the different levels of the personality trait hierarchy (fact

This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. Evaluation metrics include root of mean squared error (

A growing body of literature within political ecology is concerned with the exercise of political and economic power within climate change policies (Robbins, 2020). In this thesis, I explore the political economy of Climate-Smart Agriculture (CSA), using methodological reflections and empirical material from a case study of a Ugandan smallholder agricultural community. To assess how local communit

Cancer immunotherapies activate the immune system to overcome tumor resistance and restore the antitumor immune response, however, excessive activation of the immune system may also affect normal tissues and organs and cause immune-related adverse events (irAEs) of varying severity. Current in vitro assays used for testing and predicting of irAEs induced by immunotherapeutics are associated with s

Canada is one of the only nations in the world that offers universal health coverage that excludes outpatient prescription drug services. This means that citizens may find out their diagnosis free of charge, but must incur out-of-pocket expenses for prescription drugs dispensed outside of hospitals. This paper examines the prevalence of prescription drug coverage in Canada across various socioecon

Over the last decade, financial disclosure and its impact on equity markets has increasingly become an area of interest. Firms suffering from poor operating performance have been shown to disclose bias earnings estimates as a means of evading negative market reactions. In this thesis, we attempt to discern whether managers purposefully bias their earnings estimates in periods of credit quality det