A chatbot for self-organization recommendations

dc.contributor.authorDel Negro, Livio
dc.contributor.mentorGatziu Grivas, Stella
dc.contributor.mentorGrasshoff, Gunnar
dc.date.accessioned2024-12-03T19:05:50Z
dc.date.available2024-12-03T19:05:50Z
dc.date.issued2022
dc.description.abstractMore and more companies from different industrial sectors are confronted with faster changing markets, environments overall, and changing employee demands. To gain more flexibility and the ability to adapt faster as an organization to fast changing environments, they transform their organizational structure from a traditional hierarchical structure to a more agile structure with fewer hierarchical layers and more autonomy for individual employees and teams in a self-organized work setting. Supporting employees and teams individually in this enormous change is a costly and resource intensive undertaking but key to a successful organizational transformation and keeping work fulfilment and satisfaction of employees at a high level, which is beneficial for companies as well. This research aims to gain knowledge about the development of a Rasa chatbot that can give recommendations about self-organization.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/48624
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialOlten
dc.subject.ddc330 - Wirtschaft
dc.titleA chatbot for self-organization recommendations
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.StudentsWorkTypeMaster
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutMaster of Science
relation.isMentorOfPublicationdf27a5dc-e1d3-4762-9b30-2cd5d1ebb91f
relation.isMentorOfPublicationeb1af983-254e-4867-b8ab-f006f0d6893e
relation.isMentorOfPublication.latestForDiscoverydf27a5dc-e1d3-4762-9b30-2cd5d1ebb91f
Dateien