For students

For students

Do you want to be a part of an ongoing research project at NHH?

Master's thesis

Topics for SPRING 2018:

  • Digitale økosystemer

    Digitale økosystemer

    I denne masteroppgaven skal dere analysere det digitale økosystemet for en bransje med sikte på å utrede hvordan en selvvalgt bedrift kan posisjonere seg og konkurrere i dette systemet. Et digitalt økosystem utgjøres av de digitale teknologiene, systemene og tjenestene, og organisatoriske strukturene, som er tilstede i et markedet, og som til sammen bestemmer hvordan dette markedet fungerer. Et aktuelt eksempel er bestilling av hotellrom, og alle de digitale aktørene og løsningene som eksisterer i dette markedet. Et annet er handel, og de mange utenlandske handelsplattformene som i dag er tilgjengelige for norske forbrukere. Det å konkurrere i et digitalt økosystem er svært annerledes enn å konkurrere i et tradisjonelt marked. Et mulig forskningsspørsmål kan være: hva er bedriftens posisjon i det digitale økosystemet, og hvilke strategier kan bedriften bruke for å øke sin konkurranseevne?

    Veileder: Jon Iden / Karen Osmundsen

  • Mulighetsstudie: Integrering av Robotics Process Automation (RPA) med chatbot

    Mulighetsstudie: Integrering av Robotics Process Automation (RPA) med chatbot

    I denne masteroppgaven skal dere studere mulighetene for å integrere Robotic Process Automation (RPA) med Chatbot. Oppgaven vil bygge på en pågående pilotstudie som utvikler en chatbot til NHH sine nettsider. I denne oppgaven skal dere studere hvilke mulige effekter organisasjonen kan oppnå ved å integrere Chatboten med RPA-løsninger, samt hvilke forutsetningen som må være tilstede for å realisere gevinstene. Oppgaven kan løses som et utviklingsarbeid – utvikle en pilot – med bruk av metode for design science. Det er også mulig å vurdere hvordan RPA-teknologien kan utnyttes ytterligere i organisasjonen. Et mulig forskningsspørsmål kan være: hvilke effekter kan NHH oppnå ved å kombinere RPA og Chatbot, og hvordan kan gevinstene realiseres?

    Veileder: Jon Iden / Karen Osmundsen

  • Benchmarking in management accounting and control systems

    Benchmarking in management accounting and control systems

    This project is a questionnaire survey of “Benchmarking” practices in Norway. Several studies have documented a widespread diffusion of benchmarking and it has persistently remained in the top of management models over a 10-year period (Rigby & Bilodeau, 2015).
    Relative performance measurement models have been used in management accounting and control, and it is in this context we are interested to study benchmarking models. There is limited knowledge about the diffusion and use of such models in Norwegian companies.
    Benchmarking relates strongly to performance measurement and alternative approaches such as “Beyond Budgeting”. Therefore, an interesting question is how benchmarking models interact with other controls (e.g. strategic planning, action planning, scorecards).

    Supervisor: Daniel Johanson

  • The diffusion and evolution of balanced scorecards

    The diffusion and evolution of balanced scorecards

    Balanced scorecards have prevailed as a management control model to implement and monitor strategies. However, as emphasized by for example Johanson & Madsen (2017), there are variations in the design and use of balanced scorecards.
    In this project, we would like to follow up on a research study of companies that implemented balanced scorecards about ten years ago. How have the scorecards developed in the organizations, and why? The research method will be qualitative with in-depth interviews. Some of the interviews will be in the Oslo area. Travel expenses will be covered.

    Supervisor: Daniel Johanson

  • Big data and the accounting profession

    Big data and the accounting profession

    The first master project focuses on how big data as an object is transforming the relations between accounting and other organizational functions. Further research is need to establish which functions own big data and how they are interconnected across the organization and with the accounting functions? Are there new calculative centers, which may reshape organizational power related to information management? Is there a role for accountants and finance professionals to work with IT, data scientists and business leaders to extract value from data more effectively? Do accountants and finance professionals play any role in leading or orchestrating the integration, interpretation and usage of these multiple sets of data? Do accountants and finance professional require new expertise and forms of training?

    Veileder: Anita Meidell

  • Performance measurement, visualization and big data

    Performance measurement, visualization and big data

    The second master project focuses on performance measures and big data. Researchers have developed metrics about the level and speed of diffusion of information across social media. These are also extend to users´ influence on company brands, products and services through web sources of for example, Twitter, Facebooks, blogs and so on. These studies have however not focused on what happens inside the company and the use of these indicators inside organizations. How are the systematization of metrics understood from an accounting perspective? An important area for the accounting tradition is focusing on visualization, which goes back to contributions of the Balanced Scorecard. Big data has stimulated the development of new visualization tools that sometimes privilege aggregate views over detailed numbers. However, there is also a dark side to this abstraction process – the move away from the local and the particular that may be relevant for organizational action and the recognition of important heterogeneity. We are here interested in how communication modes of social media and big data information – visual, numerical or narrative – enable or constrain organizational actors? How are companies using big data and how might this become a resource? More specific we would like to know how companies visualize information from big data and how managers interpret and reflect around these data in their decision process.

    Veileder: Katarina Kaarbø






  • Interested in in-depth studies.
  • Preference for students within the Strategy and Management (STR)International Business (INB) profiles, and Business Analysis and Performance Management (BUS).
  • Excellent communication skills. Students are expected to present their results to the research group.


  • Thesis advisor from the research project.
  • 30.000 NOK per thesis, NOK 10 000 for travelling and other expenses + 20 000 NOK as a scholarship.


  • Please send in an application with a 2-page argumentation for why you think this is an interesting theme and why we should choose you + CV and grades.
  • Send it to the supervisor you would like to have. 
  • Deadline for submission of application: October 8th 2017
  • You will get a response to your application no later than the 12th of October.
  • If your application is accepted, contact your supervisor who will provide more information about the thesis.