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Many organizations struggle with the right way to do digital transformation. "Big bang" methods are often costly and bear high risks of failure too late in the process. Ideas from agile are gradually entering into organizational digital transformation as an alternative to big bang approaches.
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In this task we are interested in learning more about what agile transformation means, and how it is practiced successfully by organizations. You will be expected to analyze existing research in agile transformation and digital transformation using qualitative literature review methods. Later on we will together choose a real-world case organization for a field study involving interviews and observations. You will generate new knowledge, and recommendations for how agile information should and should not be used by organizations who want to implement digital transformation.
This task requires that you have a good understanding of, and are interested, in empirical qualitative research. Working language for this task is Norwegian or English. The thesis can be written in Norwegian or English but we recommend English. Please contact Babak before you select this task.
[ Skjul beskrivelse ]
Customer contact chatbots are increasingly used in the public sector. In Norway, municipalities, NAV, Skatteetaten and other public agencies are employing home-made chatbots as first line of communication with citizens. Some of these chatbots have been criticized because they can be perceived as excluding some citizen groups, and not be developed for the needs of the public sector.
You will do a literature analysis of the use of chatbots in the public sector. Afterwards you will design and conduct empirical study of how citizens use chatbots in their interaction with public agencies. Citizen groups and research questions will be developed in dialog with you.
This research requires a good understanding of platforms, boundaries, self-service, and the needs of the public sector. This understanding will be based on literature analysis and later on empirical data generated by you. As output from this task we expect empirical knowledge, but also recommendations about how to develop and use chatbots in the public sector.
AI technologies such as generative AI have the potential to replace humans in some work areas and tasks. Successful deployment of AI requires that humans and AI agents find collaboration models that are satisfactory and provide value. This task will look at ways various types of AI are used in knowledge organizations and how knowledge workers cooperate with AI on a daily basis. Type of AI and type of work practices will be decided together with you.
This is an empirical research tasks. It means that you will use research designs such as case studies or design science to generate new knowledge about the problem area. The outcome of this tasks can be new empirical knowledge, new human-AI collaboration models, or design ideas for new interaction modes.
Økt utenforskap blandt unge belyses som et økende samfunnsproblem av både forskere og offentlige ansatte. Funn fra forskning tyder også på at unge har manglende forståelse om hvordan velferdstjenester er organisert, noe som hinderer de å få hjelpen de behøver, og jo lengre man står utenfor, desto større utfordringer møter man i forsøk på å komme i jobb.
I dette prosjektet ønskes det å jobbe direkte med unge (mellom 16-25) for å utvikle digitale verktøy og metoder som kan gi unge en reell stemme og styrket rolle i utformingen av velferds- og helsetjenester. Dette vil ikke bare kunne gi unge bedre støtte og økt myndighet mens de navigerer det offentlige hjelpeapparatet, men også kunne bidra til kunnskap om hvordan tilbudet av velferdstjenster kan bedre tilpasses og potensielt lette overgangen for unge til et aktivt liv. Samtidig er det viktig at personvern sikres.
Det er en fordel om du har interesse og kunnskap om empirisk, kvalitativ forskning og designarbeid. Oppgaven kan leveres på norsk eller engelsk, men god norsk beherskelse er nødvendig.
Kontakt Tangni Dahl-Jørgensen, tangni.c.dahl-jorgensen@ntnu.no, for mer informasjon om prosjektet.
Platform model used by many big tech companies often leads to centralization of power and unfair treatment of users. In this task we want to investigate the concept of platform fairness, the relationship between platform core and periphery, and how new knowledge and design ideas can lead to more fair platforms.
This is an empirical research tasks. Empirical data can be collected from existing platforms such as Foodora or Uber, but also from organizations such as temp agencies. The exact field for empirical research will be decided together with you.
Nyankomne til Norge må gjennom mange byråkratiske søknadsprosesser som krever en høy grad av systemforståelse. Samtidig er dette er en diversifisert brukergruppe som har ulike utgangspunkt mtp alder, utdanningsnivå, og språklige og digitale ferdigheter, noe som kompliserer tilgang og forståelse til informasjon som er nødvendig for å få varig oppholdstillatelse og et godt liv i Norge.
Dette mastergradsprosjektet går ut på å samle brukerperspektiver om flyktningers og immigranters utfordringer i innhenting av informasjon om eller bruk av offentlige tjenester, og utføre deltakende design/codesign aktiviteter i utviklingen av digitale støtte, f.eks. i form av samling av ressurser, forenklet informasjon innhenting, gamification for barn og unge etc. Her er det også mulighet for å samarbeide med offentlige, kommunale tjenestetilbydere og/eller frivillig organisasjoner som jobber med flyktninger til daglig.
Oppgaven kan leveres på norsk eller engelsk, men det kan være en fordel med grunnleggende norskforståelse.
Prosjektet krever at du er interessert i menneskelig aspekter ved utvikling av nye teknologiske løsninger og kan tenke deg å jobbe sammen med mennesker i en vanskelig livssituasjon på en måte som er myndiggjørende og ivaretar brukerens medvirkning i design og utvikling.
Most organizations are currently undergoing different types of digitalization and digital transformation. The majority of these digitalization processes are initiated and led by top management, in collaboration with external consultants and technology vendors. This means employees and their in-depth knowledge of their work practices are often excluded from these processes because the employees don't have the time, the skills, or the autonomy to participate effectively. The consequence is often failed or costly projects.
In this task we ask you to investigate successful and failed attempts to employee participation in digital transformation, understand the challenges, and recommend best practices for future digitalization initiatives.
This is an empirical research task that is grounded in latest research in digital transformation. We expect that you employ rigorous methods to analyze past research, plan research studies, and conduct empirical studies in organizations that are undergoing digital transformation. The specific case organization and the specific focus of the task will be further developed in collaboration with you.
This task requires that you have a good understanding of, and are interested, in empirical qualitative research. Working language for this task is Norwegian. The thesis can be written in Norwegian or English but we recommend English. Please contact Babak before you select this task.
Deployment of new technological infrastructures such as platforms and AI requires new skills to be learned. However, it is not easy for busy practitioners to attend classes as students do. Many people use online resources such as YouTube and social media to keep updated, but this learning is seldom done systematically. We need new pedagogical models to keep updated on the job. We want you to find and design learning models for busy people who need to keep their skills updated all the time.
This is an empirical research projects. You will need to create empirical knowledge about new learning models through methods such as co-design and case studies. Your results will include new knowledge, but also models and design ideas for new learning models and tools.
This task requires that you have a good understanding of, and are interested, in empirical qualitative research. Working language for this task is English. The thesis can be written in Norwegian or English but we recommend English. Please contact Babak before you select this task.
While many students use generative AI tools such as Microsoft Copilot, we have little knowledge of how these tools are used, for what, and how they affect student learning. In this project, you study the use of Microsoft Copilot by computing students at NTNU using qualitative research methods to gain a rich understanding of the phenomenon. You will do initial literature studies on the topic and design a case study with data-collection methods like observations, interviews, and archival data. You will analyze the collected data qualitatively to explaining the practices of computing students using Copilot.
There is considerable confusion about what AI brings of value for whom. This confusion is partly related to what we define as AI, but also because of the rapidly changing nature of AI technologies. In order to create a sustainable process of taking advantage of AI we need to have a framework for how we evaluate AI, and who benefits from AI and how.
In this task you will do a systematic literature review regarding the value of AI for society, organizations, and individuals. Based on the results of such an study you will engage in an empirical field study to generate new knowledge about the value of AI. The focus and the field for your study will be decided together with you. This task is within the discipline of information systems, and will rely heavily on literature from information systems, computer-supported cooperative work, and human-computer interaction. You are expected to create new empirical knowledge based on earlier research and own data generation.
