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Synthetic Innovation and Hidden Problems: Qualitative Insights on Open Innovation for Hidden Problems in Sweden
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.).
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Syntetisk Innovation och Dolda Problem (Swedish)
Abstract [sv]

Huvudsyftet med denna uppsats är att analysera hur svenska organisationer arbetar med öppen innovation, i vilka former de gör det och vilken typ av innovationer de producerar. Uppsatsen definierar även uttryckligen begreppet "dolda problem" inom organisationer och kopplar sedan det till innovationsteori. Definitionen av öppen innovation har utvecklats tillsammans med förståelsen för begreppet, vilket i sig utgör en övertygande teori för både organisationer och forskare i strävan efter teknisk utveckling. De befintliga modeller som beskriver öppen innovation är emellertid inte förenliga med hur definitionen av termen har utvecklats. Genom att kartlägga nuvarande litteratur och innovationsteori, föreslås i denna uppsats en förening av två befintliga öppna innovationsmodeller som bättre passar den nuvarande definitionen. I uppsatsen föreslås också att syntetisk innovation - ett begrepp beskrivet i denna avhandling - är den primära typen av innovation som produceras inom en öppen innovationsram. Resultaten, analysen och diskussionerna baseras på en litteraturstudie, en handlingsstudie och fyra fallstudier av innovationsinitiativ i Sverige. Analyserade genom den föreslagna ramen visar resultaten att resurstypen som delas mellan firmor i ett öppet samarbete är mer empiriskt viktig än indikerat från befintliga innovationsmodeller. Det indikeras också att företagens permeabilitet förändrar vilken typ av innovation de producerar. Arbetet indikerar också att dolda problem empiriskt löses genom syntetisk innovation som särskilt kan uppnås i en öppen innovationsmiljö.

Abstract [en]

The primary purpose of this thesis is to analyze how Swedish organizations work with Open Innovation, in what forms they do so, and what type of innovations they produce.  Secondarily, it explicitly defines the notion of "hidden problems" within organizations and subsequently links it to innovation theory. The definition of Open Innovation has evolved alongside the understanding of Open Innovation itself, and it constitutes a compelling theory for organizations and researchers alike in the pursuit of technological advancement. The incumbent models that describe Open Innovation, however, are not compliant with the definition of the term. By surveying the current literature on Open Innovation, and Innovation theory, this thesis proposes a unification of two incumbent Open Innovation models that better fit with the definition of Open Innovation itself. It also suggests that Synthetic Innovation as defined in this thesis is the primary type of innovation produced under an Open Innovation framework. The results, analysis, and discussions are based on a literature review, an action study, and four case studies of innovation initiatives in Sweden. Analyzed through the proposed framework, the results from this thesis indicate that resource type is more empirically important than evident from incumbent innovation models. It also suggests that the permeability of firms, created in an Open Innovation environment, alters the type of innovation they produce. The research shows a need to update the early, yet fashionable, models of Open Innovation to better map against the current definitions. It also indicates that hidden problems result in a particular type of Synthetic Innovation that is especially achievable through Open Innovation.

Place, publisher, year, edition, pages
2018. , p. 85
Series
TRITA-ITM-EX 2019 ; 1
Keywords [en]
Innovation Theory, Open Innovation, Synthetic Innovation, Innovation Strategy, Strategy, Management
Keywords [sv]
Innovationsteori, Öppen Innovation, Syntetisk Innovation, Innovationsstrategi, strategi, Management
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-245877OAI: oai:DiVA.org:kth-245877DiVA, id: diva2:1294782
Supervisors
Examiners
Available from: 2019-03-08 Created: 2019-03-08 Last updated: 2019-03-08Bibliographically approved

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