Sökning: "Data-Driven Business Model Innovation"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden Data-Driven Business Model Innovation.

  1. 1. From Growth to Profitability. A multiple case study on business model innovation among tech startups to meet changed investor preferences during an economic downturn.

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för företagande och ledning

    Författare :Klas Andersson; Marcus Josefsson; [2023]
    Nyckelord :Business Model Innovation; Dynamic Capabilities; Investor Preferences; Profitability; Tech Startups;

    Sammanfattning : Investors are fundamental stakeholders for most companies, particularly tech startups, as they often depend on external financing. With an economic downturn and increased interest rates during 2022, tech startups were significantly impacted by the dramatic shift in investor preferences from growth to profitability. LÄS MER

  3. 2. Besöksräknarteknologi: Mot datadrivet beslutsfattande inom fysisk handel

    Kandidat-uppsats, Lunds universitet/Institutionen för informatik

    Författare :Gabriel Köhler; [2023]
    Nyckelord :Data-driven decision making; Physical retail; People counting technology; Retail optimization; Data acceptance; Business and Economics;

    Sammanfattning : Denna studie undersöker möjligheterna att öka användningen av data inom fysisk handel och syftar till att förstå hur beslutsfattare kan generera värde från besöksräknarteknologi. Genom en kvantitativ forskningsansats undersöker studien potentialen hos moderna teknologier inom handelssektorn och introducerar Data Acceptance Model (DAM) som en teoretisk modell för att förstå acceptansen av data. LÄS MER

  4. 3. AI Integration Scaling AI for business model innovation

    Master-uppsats, Institutionen för tillämpad informationsteknologi

    Författare :Linnea Lundblad; Tilda Olsson; [2022-10-28]
    Nyckelord :artificial intelligence; data-driven; business model innovation; digital transformation; digital maturity; AI maturity;

    Sammanfattning : Artificial Intelligence (AI) is still largely unexplored within information systems research, and most published work remains non-academic (Collins et al., 2021). While there exists some research related to the challenges incumbent organizations have to scale AI, there is little insight to why some succeed. LÄS MER

  5. 4. Conditions and Practices of Data-Driven Innovation in Swedish Healthcare

    Master-uppsats, Umeå universitet/Institutionen för informatik

    Författare :Ramy Shenouda; Stefan Herz; [2022]
    Nyckelord :Data-Driven Innovation; Digital Platforms; Artificial Intelligence; Healthcare; E-Health; Sweden;

    Sammanfattning : This study explores the conditions and practices for data-driven innovation in the Swedish healthcare sector. While innovation nowadays often is based on big amounts of data, the laws for handling data in healthcare are restrictive. However, we see that remarkable innovation is happening in Swedish healthcare anyway. LÄS MER

  7. 5. Data-driven Management Framework using National and Corporate Culture Analytics to foster Innovation Ambidexterity : A case study on a world leading telecom company

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Författare :Chiara Isola; Divya Peddireddy; [2021]
    Nyckelord :Ambidexterity; Exploration; Exploitation; Innovation; National culture; Corporate culture; Telecommunication Sector; Human Capital; Data-driven Management; Business Strategy; Machine Learning;

    Sammanfattning : Background: In a highly competitive world, leaders of firms highly dependent on innovation, such astelecom companies, must acquire data-driven managerial skills to systematically analyze datasets from multiple points of view to aid decision-making in the new context of Industry 4.0. LÄS MER