Essays about: "IT in the Insurance Industry"

Showing result 11 - 15 of 83 essays containing the words IT in the Insurance Industry.

  1. 11. Toward establishing CO2-securitization’s warning process and likely non-conclusion

    University essay from Lunds universitet/Statsvetenskapliga institutionen

    Author : Sören Floderus; [2022]
    Keywords : Securitization; Climate; Warning process; Law and Political Science;

    Abstract : For understanding undue politicization, Wilhelm Agrell and Gregory Treverton in their book National Intelligence and Science (2015) describe ‘Intelligence Modes of Science’ at work in also science’s policy-maker-analyst interface, while analytical social epistemology points at medialization as additional background. In this paper, securitization’s process is used as frame for exploring how IPCC’s, the Intergovernmental Panel on Climate Change, claim at its conclusion (Brauch, 2009) fares in the area of CO2/climate, for an independent account and with an eye for Swedish processes in particular as they’ve been covered. READ MORE

  3. 12. Competing on sustainability - A study on stakeholder interaction, becoming truly sustainable and obtaining a sustained competitive advantage in an industry characterized by low sustainability maturity

    University essay from Lunds universitet/Produktionsekonomi

    Author : Kristina Källner; Anna Lundberg; [2022]
    Keywords : Sustainability; cold chain; pharmaceutical industry; stakeholder theory; sustainable business models; VRIO analysis; truly sustainable; competitive advantage; Technology and Engineering;

    Abstract : Although more and more companies are facing increasing pressure to take responsibility for their actions impacting sustainability, the pharmaceutical industry and in extension the cold chain solutions industry, have previously been exempted from scrutiny. Research on sustainability in the industry is lagging, why this master thesis aims to explore how sustainability can be incorporated into the business model while avoiding creating a disconnect between corporate strategy and actual sustainability impact. READ MORE

  4. 13. Improved side impact car safety : New IIHS side crash regulation, effect on product design

    University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Author : Andreas Bäckman; [2022]
    Keywords : Side impact beam; IIHS; side crash; side impact crash testing; crash testing of automobiles; industrial design engineering; automotive design; product design; Sidokrockskydd; IIHS; sidokrock; sidokollision; sidokrocktestning; krocktest av bilar; teknisk design; bildesign; produktdesign;

    Abstract : 23% of passenger vehicle occupant deaths in 2019 was side-impact collisions and is a ongoing problem that continues to take people’s lives (IIHS, 2021a). IIHS (Insurance Institute for Highway Safety) is an organization based in USA, which performs vehicle crash tests with the goal of making cars safer and reducing deaths and injuries. READ MORE

  5. 14. Hållbar dagvattenhantering på kvartersmark : klimatanpassning, samverkan och reglering

    University essay from SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)

    Author : Herman Holmqvist; Gustav Winsnes Sunnemark; [2022]
    Keywords : dagvatten; kvartersmark; hållbar dagvattenhantering; klimatanpassning; samverkan; lagar;

    Abstract : När städer förtätas ställs nya krav på dagvattenhanteringen, inte minst för att ha möjligheten att kunna hantera följderna av fler och intensivare regn som klimatförändringarna för med sig. I många städer och kommuner i Sverige är den nuvarande strategin för dagvatten i urban miljö baserat på rörledningssystem. READ MORE

  6. 15. Investigating the Use of Deep Learning Models for Transactional Underwriting

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Samuel Tober; [2022]
    Keywords : Tabular Data; Deep Learning; Explainable Machine Learning; Underwriting; Tabelldata; Djupinlärning; Förklaringsbar maskininlärning; Underwriting;

    Abstract : Tabular data is the most common form of data, and is abundant throughout crucial industries, such as banks, hospitals and insurance companies. Albeit, deep learning research has largely been dominated by applications to homogeneous data, e.g. images or natural language. READ MORE