Real-time simulation's applications in the value chain and its effect on the business model canvas
Cheikh-el-Chabab, Maya Kristina (2019)
Pro gradu -tutkielma
Cheikh-el-Chabab, Maya Kristina
2019
School of Business and Management, Kauppatieteet
Kaikki oikeudet pidätetään.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2019053017810
https://urn.fi/URN:NBN:fi-fe2019053017810
Tiivistelmä
Real-time simulation is a new technology that has not yet been fully employed in business. Companies are starting to adopt it, the benefit of it is not clear for managers. This study is aiming to capture and analyse the benefits of real-time simulation and its ability to serve the needs of companies, through analysing its contribution to each of the value chain activities, and the resulted changes in the business model. In order to find solutions for this phenomenon, the research questions were formulated as follows, the main question: 1. How is the real-time simulation adding value to different activities in the company? And two sub questions: 1.a How could the real-time simulation be used for different activities in the value chain? 1.b What type of effect does these activities have over the different building blocks of the business model?
The theoretical part resulted in a series of potential findings, as an outcome of the analysis of previous studies. The results showed five main applications of the real-time simulation in the value chain, in research and development, marketing, predicting the faults, training, and logistics. A detailed assumption of the effect on the business model was also provided.
The primary data was collected from five major manufacturing companies, who used this technology in different levels and fields. A qualitative research analysis was conducted, through semi-structured individual interviews with six correspondents. The analysis resulted in multiple findings, it showed that the use in research and development reduced the cost and the resources needed of the company, and the use in marketing improved the relationship with customers. The use for training had an effect over the value proposition and key activities, among other results.
The theoretical part resulted in a series of potential findings, as an outcome of the analysis of previous studies. The results showed five main applications of the real-time simulation in the value chain, in research and development, marketing, predicting the faults, training, and logistics. A detailed assumption of the effect on the business model was also provided.
The primary data was collected from five major manufacturing companies, who used this technology in different levels and fields. A qualitative research analysis was conducted, through semi-structured individual interviews with six correspondents. The analysis resulted in multiple findings, it showed that the use in research and development reduced the cost and the resources needed of the company, and the use in marketing improved the relationship with customers. The use for training had an effect over the value proposition and key activities, among other results.