Rather than acting solely as implementers of initiatives, government initiatives must take social influence into account while maximizing the efforts of other stakeholders who are working towards the achievement of the same goal: to facilitate deep knowledge discovery and the creation of new valuable integrated services through the exploitation of rich, interoperable and engaging cross-domain city. Data infrastructures can provide many functions that transcend space (and time), break down the barriers to information access and enhance communication and collaboration. Thus, it enables people to have access to information that will enable them to innovate, to work better, to commute more efficiently in between places, enable governments to get insights on the urban services being provided anywhere and anytime they want. To put these principles into practice, our business models framework combines city data offering with a business model thinking to renew and extend common innovation and competitive strategies, and address intra- and inter-firm issues such as organizational change, value network design and innovation management. From a practical perspective, the main purpose of our framework is to allow governments to create, deliver and capture value through data infrastructures which are designed on the basis of social influence and not authority.

Chapter Contents:

• 5.1 Context
• 5.2 An introduction to business models
• 5.2.1 e-Business models
• 5.3 The framework for data infrastructure design
• 5.3.1 Step 1: Business models outline
• 5.3.2 Step 2: Evaluation with CSFs
• 5.3.3 Step 3: Specification of CDIs
• 5.3.4 Step 4: Closed-loop value-chain model
• 5.3.5 Step 5: Robustness check

Inspec keywords: management of change; government policies; social aspects of automation; smart cities; government data processing; critical infrastructures; innovation management; public administration

Other keywords: innovation management; value network design; information access; government initiatives; knowledge discovery; city data; organizational change; data infrastructures; urban services; social influence; services innovation; business models; smart cities

Subjects: Public administration; Economic, social and political aspects of computing