Essays about: "traditional business model"

Showing result 16 - 20 of 417 essays containing the words traditional business model.

  1. 16. Greening the thread : A comparative study of design processes to reduce microplastic shedding in Swedish textile companies

    University essay from Högskolan i Borås/Akademin för textil, teknik och ekonomi

    Author : Stina Victorsson; Sonya Reynolds; [2023]
    Keywords : The textile industry; Sustainability; Microplastic shedding; Sustainable design processes; Triple bottom line; Circular economy; Swedish textile companies;

    Abstract : Purpose – This study aims to gain an increased understanding of how textile companies perceive opportunities and challenges in reducing microplastic shedding in the design process. Specifically, the thesis compares and analyses two distinct textile companies with diverse business approaches. READ MORE

  3. 17. Using a GIS to enable an economic, land use and energy output comparison between small wind powered turbines and large-scale wind farms: the case of Oslo, Norway.

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Colin Potter; [2023]
    Keywords : Geography; GIS; Wind power; Renewable energy sources; urban wind energy; urban areas; planning; vertical axis wind turbines; comparative studies; urban integrated energy systems; Oslo; Roan; Earth and Environmental Sciences;

    Abstract : Responding to an identified knowledge gap, the study aims to determine if smaller wind turbines located on top of existing urban buildings are more resource efficient (land utilization and economically) than large scale wind farms. To answer this question, using a GIS, the resource efficiency of the Roan wind farm in Northern Norway was compared to a theoretical modeled installation of small-scale wind turbines on top of buildings within a 2km radius study zone in central Oslo. READ MORE

  4. 18. To Sin or Not to Sin? A Study of Traditional and New Sin Stocks on the American Stock Market

    University essay from Lunds universitet/Företagsekonomiska institutionen

    Author : Filip Eriksson; Herman Ljungberg; Oliver Lönegård; [2023]
    Keywords : Sin Stocks; New Sin Stocks; Sustainable Investments; Social Norms; Socially Responsible Investing; Business and Economics;

    Abstract : This study aims to investigate the difference in stock return between traditional sin stocks, new sin stocks, and their respective peer stocks. The purpose was to expand the scarcely researched area of new sin stocks by being the first one to focus on new sin stocks on the American stock market (United States NYSE, AMEX, and NASDAQ stock exchanges), as this area has only been researched in Europe before. READ MORE

  5. 19. The Future of Gaming? : A study on the effects of cloud gaming on traditional game purchase and engagement

    University essay from Umeå universitet/Företagsekonomi

    Author : Alexander Kokkonen; Josef Holmlund; [2023]
    Keywords : Cloud gaming; Technology acceptance; subscription marketing; perceived value; perceived ease of use; consumer motivations; hard-core gamer; casual gamer; non-gamer;

    Abstract : In recent years, there has been an increased number of people that are engaged in gaming - a phenomenon connected to constantly developing internet infrastructure and a growing middleclass. The phenomenon of Cloud gaming has received increasing attention since it was introduced some years ago; in 2022 all Cloud gaming services combined had 31,7 million paying users. READ MORE

  6. 20. Forecasting copper price using VAR and the XGBoost model: an experiment with a relatively small dataset

    University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Author : Juanli Hu; [2023]
    Keywords : copper price; Vector autoregressive model; XGBoost; Time series; Business and Economics;

    Abstract : Given the importance of copper prices to investors, governments, and policymakers, this paper investigates short-term price predictability using VAR and XGBoost models. All models are trained with historical data from November 2021 to December 2022 and using MSE, RMSE and MAE for evaluating the model performance. READ MORE