This thesis examines the critical factors shaping early-stage business model development. As a result, this paper provides insights and recommendations for the effective commercialization of innovations. The early-stage business model development process is notoriously complex and ambiguous, yet a limited amount if empirical studies have been conducted in this crucial phase. To address this research gap, an action research approach is employed to document learnings and challenges through an empirical case study into the early-stage business model development for a novel bioprinting technology. The study leverages existing literature to define specific actions and utilizes reflective analysis to gain comprehensive understanding of the factors shaping the process. Through this approach, important new lessons are uncovered for facilitators, highlighting both the facilitating role of tools and methods, as well as their limitations in enhancing the cognitive processes of understanding customer value, how to create value, and how to capture it efficiently. The research findings demonstrate the the business model development and innovation processes are iterative and complex, as well as heavily reliant on engagement and resource allocation. Furthermore, newfound theoretical considerations of commitment, organizational capabilities, and risk appetite arecrucial for the successful realizability of business models. Based on these findings, recommendations of future business model development in similar contexts are presented. These include the importance of achieving a common understanding among stakeholders, a thorough understanding of customer value, a thoughtful ideation process combining convergent and divergent thinking, and a comprehensive assessment of commitment and tolerance for ambiguity. This these contributes to the exisiting body of literature by holistically shedding light on the early-stage business model development process through documented action and by providing practical insights for practitioners and stakeholders involved in innovation commercialization. / Denna uppsats undersöker de kritiska faktorer som formar utvecklingen av affärsmodeller i tidiga skeden samt bidrar med insikter och rekommendationer för effektiv kommersialisering av innovationer. Processen för utveckling av affärsmodeller i tidiga skeden är känd för sin komplexitet och tvetydighet, men det finns få empiriska studier av denna avgörande fas. För att fylla detta forskningsgap används en aktionsforskningsansats för att dokumentera lärdomar och utmaningar genom en empirisk fallstudie på affärsmodellsutveckling i ett tidigt stadie för en ny bioprintingteknik. Studien utnyttjar befintlig litteratur för att definiera specifika åtgärder och använder reflekterande analys för att skapa en omfattande förståelse för de faktorer som formar processen. Genom detta tillvägagångssätt kan viktiga nya lärdomar dras kring facilitatorer, vilket belyser både verktygens och metodernas underlättande roll och deras begränsningar när det gäller att förbättra den kognitivaprocessen för att förstå kundvärde, hur man skapar och fångar detta värde på ett effektivt sätt. Forskningsresultaten visar att innovationsprocessen för affärsmodeller är iterativ, komplex och starkt beroende av engagemang och resursallokering. Dessutom är nya funna teoretiska överväganden om engagemang, organisatorisk kapacitet och riskaptit avgörande för en framgångsrik realisering av affärsmodeller. Baserat på dessa resultat presenteras rekommendationer för framtida utveckling av affärsmodeller i liknande kontexter. Dessa rekommendationer inkluderar vikten av att uppnå en samsyn bland intressenterna, en grundlig förståelse för kundvärdet, en genomtänkt idéprocess som kombinerar konvergent och divergent tänkande, samt en omfattande bedömning av engagemang och tolerans för ambiguitet. Denna uppsats bidrar till den befintliga kunskapen genom att holistiskt belysa utvecklingsprocessen för affärsmodeller genom dokumenterad handling i ett tidigt skede samt genom att ge praktiska insikter för utövare och intressenter som är involverade i kommersialisering av innovationer.

The aim of this study is to optimize the storage and shipping processes of Plasma Separation Cards (PSC) by developing a novel prototype designed to reduce manual labore and ensure sample integrity. An experimental design was employed to address current limitations in PSC handling. These limitations include labor-intensive processes and potential sample degradation. In this approach rigorous testing was done to evaluate the prototype's performance in various environments and different materials. The research in this study include lab testing of samples stored in the prototype, assessment of different storage conditions and analysis of shipping processes. The main research question was: “How can a prototype for PSC storage be optimized to reduce manual labor in PSC handling while ensuring sample integrity during storage and shipping?”. To answer this question the prototype was tested for its effectiveness in reducing storage space and facilitating automated handling The findings of this study show that the prototype that was created can significantly reduce the required storage space while still being usable by liquid handling robots. During the study it was noted that minor misalignment issues were present due to the limitations of the type of 3D printers used. These issues could be addressed with more precise printing technologies such as Stereolithography (SLA) or Selective Laser Sintering (SLS). Both materials used in this study, PLA (Polylactic acid) and PETG (Polyethylene Terephthalate Glycol) materials were found suitable for storing PSC samples under most conditions. However, the measurements for the samples with PLA indicated limitations at 65 °C under certain conditions, making PETG a safer choice under higher temperature. The study contributes to the field by providing an innovating solution for PSC sampling that is scalable. This enhances the possibility for remote monitoring end predictive diagnostics. The prototype indicates a promising direction for future research and application and medical diagnostics by improving operational efficiency while aligning with sustainability goals. This study explores the following aspects: sample handling, storage and shipping. The practical implication includes reduced manual labor, minimized human error and increased efficiency for these aspects.