Essays about: "stages of innovation process"

Showing result 1 - 5 of 109 essays containing the words stages of innovation process.

  1. 1. AI for innovators - An exploratory study on the application of Artificial Intelligence as a supportive tool in the innovation process

    University essay from Göteborgs universitet/Graduate School

    Author : Mauro Campus; [2023-07-19]
    Keywords : Innovation; Innovation Drivers; Stages of Innovation; Innovation Models; Innovation Process; Artificial Intelligence; Industry 4.0 and Artificial Intelligence; Machine Learning; Deep Learning; Generative AI; Artificial Intelligence in Business; Artificial Intelligence and Innovation;

    Abstract : The technological evolution we are experiencing nowadays has impacted many businesses and industries. In this sense, one of the most influential technologies is certainly Artificial Intelligence, which especially in recent months has been at the centre of numerous debates. READ MORE

  3. 2. HR Analytics for Competitive Advantage: Bringing organisational value while empowering the HR profession

    University essay from Lunds universitet/Företagsekonomiska institutionen

    Author : Elin Engsfelt; Louise Rosén Fång; [2023]
    Keywords : HR Analytics; Artificial Intelligence AI ; Human Resources HR ; Legitimacy; HR Profession; HR Processes; Organisational Processes; Diffusion of Innovation Theory DOI ; Four Stages of Analytics; Isomorphism; Functions; Challenges; Business and Economics;

    Abstract : Title: HR Analytics for Competitive Advantage: Bringing organisational value while empowering the HR profession Authors: Elin Engsfelt & Louise Rosén Fång Supervisor: Rikard Larsson Problem definition: The HR profession has throughout history, and still has, a legitimacy problem, where the HR department typically becomes administrative support, rather than a strategic business partner. Purpose: Explore HR professionals' perceptions and opinions on the use of HR Analytics in their work and identify the functions and challenges that HR Analytics brings to the organisation, the HR department, and the HR profession. READ MORE

  4. 3. A Qualitative Analysis of the Impact of Artificial Intelligence (AI) Adoption (Focusing on Machine Learning (ML)) on the Organizational Capabilities of the Telecom Industry in Sweden and Finland

    University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Author : Neeraj Verma; [2023]
    Keywords : AI; R D; Industry 4.0; Qualitative Analysis; Innovation; Machine Learning; Business Performance; People and Culture; Process and Organization; Telecom; Technology.;

    Abstract : The German government's "Industry 4.0" paradigm transforms technology application across domains using real-time data and connectivity. The telecom sector's reliance on digital, software-driven infrastructure for real-time data and connectivity is paramount. READ MORE

  5. 4. Digital Solutions and Library Outreach : Exploring the Use and Perceptions of new digital solutions in library outreach activities

    University essay from Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

    Author : Emma Bengtsson; [2023]
    Keywords : digital solutions; public libraries; library outreach activities; digitization; library services; access to information; diffusion of innovation;

    Abstract : As public libraries increasingly turn to digital solutions to enhance their outreach activities, it is important to understand the use and perceptions of these new solutions. This thesis explores how new digital solutions are being used and perceived by library employees when working with library outreach activities. READ MORE

  6. 5. Predicting Cross-Platform Performance : A Case Study on Evaluating Predictive Models and Exploring the Economic Consequences in Software Testing

    University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Author : Adam Bredfell; Gustav Roll; [2023]
    Keywords : cross-platform performance; process innovation; creative destruction; predictive models;

    Abstract : Background: In today's digital world, there is increasing importance on cross-platform performance testing and the challenges faced by businesses in achieving efficient performance for applications across multiple platforms. Predictive models, such as machine learning and regression, have emerged as potential solutions to predict performance to be quickly analyzed, thus eliminating the need to execute an entire environment. READ MORE