Exploring the Success Factors of Mobile Business Ecosystems

2021 ◽  
pp. 77-100
Author(s):  
Juha Winter ◽  
Sandro Battisti ◽  
Thommie Burström ◽  
Sakari Luukkainen
2018 ◽  
Vol 15 (03) ◽  
pp. 1850026 ◽  
Author(s):  
Juha Winter ◽  
Sandro Battisti ◽  
Thommie Burström ◽  
Sakari Luukkainen

Mobile business ecosystems are based on product innovations and complements created on platforms facilitating transactions between groups of users in a multi-sided market. The purpose of this research is to present a model of success factors (SF) of mobile ecosystems. This research establishes an empirical framework based on the Android ecosystem, which has been analyzed in-depth on firm and ecosystem level, identifying 16 success factors. The main theoretical contribution is a model that identifies SF of platforms, which are related to the identification of the role of users and complementors in increasing innovation success. The model advances research in innovation platforms.


Author(s):  
TIINA TAWASTSTJERNA ◽  
HEIDI OLANDER

Previous research has increased our understanding of digital transformation (DT) and digital business ecosystems as independent topics. Less is known about how DT unfolds in digital business ecosystems. Such collaborative creation of digital innovations is affected by individual actors and by ecosystem as a whole. Based on an empirical case study of an ecosystem facilitator company and its digital business ecosystems as embedded cases, this paper contributes to the understanding of key success factors in new digital business ecosystems. The findings support collaborative governance as an important tool in leading the DT among multiple partners. Moreover, the findings present the concept of a common rulebook, including the practices, principles, guidelines, tools, handshakes, and boundaries, as an enabler for ways of working in an ecosystem. Managers can use this paper to increase their understanding on the governance of digital business ecosystems and to clarify their organisational expectations when participating in joint endeavours involving DT.


2008 ◽  
Vol 2 (1) ◽  
pp. 49 ◽  
Author(s):  
Maiju Markova ◽  
Anne Aula ◽  
Antti Lonnqvist ◽  
Heli Wigelius

2017 ◽  
Vol 9 (1) ◽  
pp. 60
Author(s):  
Erlend Glück Evensen ◽  
Joachim Kähler ◽  
Per Jonny Nesse ◽  
Hanne Kristine Hallingby ◽  
Sigmund Akselsen ◽  
...  

2017 ◽  
Vol 9 (1) ◽  
pp. 60
Author(s):  
Per Jonny Nesse ◽  
Hanne Kristine Hallingby ◽  
Sigmund Akselsen ◽  
Arne Munch Ellingsen ◽  
Joachim Kähler ◽  
...  

2013 ◽  
pp. 1-10 ◽  
Author(s):  
Lee-Kwun Chan ◽  
◽  
Hung-Khoon Tan ◽  
Phooi-Yee Lau ◽  
William Yeoh ◽  
...  

2013 ◽  
Vol 10 (04) ◽  
pp. 1350009 ◽  
Author(s):  
ANDREI RIKKIEV ◽  
SAKU J. MÄKINEN

Technology-based industry convergence brings forth new competence-destroying technologies, increases product complexity and drives companies to enter into collaborative R&D arrangements outside their current business ecosystems. The technology-based convergence context is classified as technology substitution and technology integration convergence types, and requires new collaborative competencies spanning business ecosystems that are not identified in the current literature. This paper explores the critical success factors (CSFs) of inter-company R&D collaboration in different types of convergence projects. The study finds that the convergence types are differentiated by their focal areas: product features, relative product advantage and market need orientation. We further discuss the important CSFs of the convergence types and provide insights for managers in our results.


Sign in / Sign up

Export Citation Format

Share Document