Wednesday, August 09, 2017

Repainting the business model canvas for peer-to-peer sharing and collaborative consumption

Sharing Economy businesses have become very popular recently but there is little guidance available on how to develop the respective business models. We faced this problem during a consortium research project for developing a service for electric vehicle charging that adopts the paradigm of Peer-to-Peer Sharing and Collaborative Consumption (P2P SCC)— a specific branch of the Sharing Economy. 

We use Action Design Research (ADR) to develop an adapted version of the Business Model Canvas that is specifically tailored to the needs of P2P SCC business model development. The adapted canvas is then applied to develop a business model for the proposed service. 

The learnings from the development process are formalized into a set of generally applicable guidelines for the development of P2P SCC business models. The resulting guidelines and the adapted canvas provide guidance for both researchers and practitioners who want to either develop new or analyze existing P2P SCC business models.

See here for more information.

Friday, June 30, 2017

Empirical insights into the development of a service-oriented enterprise architecture

Organisations use Enterprise Architecture (EA) to reduce organisational complexity, improve communication, align business and information technology (IT), and drive organisational change. Due to the dynamic nature of environmental and organisational factors, EA descriptions need to change over time to keep providing value for its stakeholders. Emerging business and IT trends, such as Service-Oriented Architecture (SOA), may impact EA frameworks, methodologies, governance and tools. However, the phenomenon of EA evolution is still poorly understood. 

Using Archer's morphogenetic theory as a foundation, this research conceptualises three analytical phases of EA evolution in organisations, namely conditioning, interaction and elaboration. Based on a case study with a government agency, this paper provides new empirically and theoretically grounded insights into EA evolution, in particular in relation to the introduction of SOA, and describes relevant generative mechanisms affecting EA evolution. By doing so, it builds a foundation to further examine the impact of other IT trends such as mobile or cloud-based solutions on EA evolution. At a practical level, the research delivers a model that can be used to guide professionals to manage EA and continually evolve it.

See here for more information.