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Showing result 16 - 20 of 1405 essays matching the above criteria.
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16. Value creation within a digital service platform through the lens of service-dominant (S-D) logic : A case study of Eljun’s digital payment platform
University essay from Uppsala universitet/Industriell teknikAbstract : The number of companies who base their business model on digital platforms has increased in the recent years. Successful examples of digital platforms are e.g., Airbnb, Klarna or Uber. READ MORE
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17. SDL, qualitative research on service chatbots’ co-destruction impact on consumer ecosystem.
University essay from Jönköping University/IHH, FöretagsekonomiAbstract : This study is rooted in the Service Dominant Logic (SDL) theory and explores the phenomenon of value co-destruction, the context being chatbot-mediated customer service, with a focusing on chatbots affiliation with value-co-destruction and on the impacts outsideof the dyadic relationship between the service provider and receiver, described as the broader consumer ecosystem. It is evident that the relationship between businesses and consumers is being revolutionized through the implementation of chatbots, claiming benefits such as improved operational efficiency, and non-time specific service. READ MORE
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18. The use of retail self checkout systems and its influence on the experiences of the Swedish shopper
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : Traditional retail with personal service is becoming scarce. The personal interaction is replaced with self service alternatives, and the consumer is now seen as a co-service producer. READ MORE
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19. Quality from the perspective of the internal customer : Internal service experience in a manufacturing industry company
University essay from Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)Abstract : För att förbättra servicekvaliteten är kartläggning och mätning av kundupplevelse en viktig del av förbättringsarbetet. Detta är mestadels studerat ur den externa kundens perspektiv, och inte lika ofta ur den interna kundens. READ MORE
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20. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE