Essays about: "learning organization in management"

Showing result 1 - 5 of 112 essays containing the words learning organization in management.

  1. 1. Building maintainable web applications using React : An evaluation of architectural patterns conducted on Canvas LMS

    University essay from Linköpings universitet/Programvara och system

    Author : Johansson David; [2020]
    Keywords : architectural patterns; maintainability; static code analysis; web applications; react; canvas lms; graphql; REST; redux; apollo client; LMS; Canvas;

    Abstract : Maintainability for web applications is increasingly important due to increasing demands for advanced functionality as well as a short time-to-market. Fixing errors, reusing functionality and adding new features efficiently are crucial for making the application profitable for the software organization as well as valuable for the end-user. READ MORE

  2. 2. Deconstructing Organizational Learning : How knowledge is retained, reused and forgotten

    University essay from Uppsala universitet/Företagsekonomiska institutionen; Uppsala universitet/Företagsekonomiska institutionen

    Author : Oskar Finnström; Jakob Gustafson; [2020]
    Keywords : Organizational Learning; Organizational Unlearning; Organizational Memory; Organizational Forgetting; Organisatoriskt lärande; Organisatoriskt minne; Organisatoriskt glömmande;

    Abstract : This study set out with the purpose of gaining an understanding for how organizational learning occurs, and how the knowledge gained is retained, and perhaps forgotten. To this end a case study of a Swedish ski school was conducted. The top management team of the organization was interviewed, and data in the form of internal documents was gathered. READ MORE

  3. 3. Artificial Motivation? The Influence of Artificial Intelligence on Motivation in the Financial Industry

    University essay from Handelshögskolan i Stockholm/Institutionen för företagande och ledning

    Author : Edvin Ek; Philip Lennhammer; [2019]
    Keywords : AI; machine learning; motivation; finance; organization;

    Abstract : Technology is a driver in society and recently artificial intelligence (AI) has become a discussion for debate. The spreading of popular fiction has in some instances misguided the views of the general public, giving rise to different beliefs in the impact it may have. READ MORE

  4. 4. Using Machine Learning to Detect Customer Acquisition Opportunities and Evaluating the Required Organizational Prerequisites

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

    Author : Olle Malmberg; Bobby Zhou; [2019]
    Keywords : Consumer decision journey; Customer acquisition Customer relationship management; Machine Learning; Organizational prerequisites; User activity; Random forest; XGBoost; Användaraktivitet; Consumer decision journey; Customer relationship management; Kundförvärv; Maskininlärning; Organisatoriska förutsättningar; Random forest; XGBoost;

    Abstract : This paper aims to investigate whether or not it is possible to identify users who are about change provider of service with machine learning. It is believed that the Consumer Decision Journey is a better model than traditional funnel models when it comes to depicting the processes which consumers go through, leading up to a purchase. READ MORE

  5. 5. Staying innovative: a quest for innovation through knowledge sharing and knowledge integration.

    University essay from Lunds universitet/Företagsekonomiska institutionen

    Author : Daniel Lajko; Måns Widenborg; [2019]
    Keywords : Innovation; internal external knowledge; knowledge integration; knowledge sharing; cluster.; Business and Economics;

    Abstract : The aim is to develop a profound comprehension of what role knowledge plays in the process of integrating the internal knowledge within organizations with the external knowledge that can be found in the surrounding cluster initiatives. This research contains a qualitative case study which was developed by following an interpretative, abductive approach that granted the authors to work with theory and empirical material at the same time. READ MORE