Generating Sustainable Value from Open Data in a Sharing Society

Part 1: Creating ValueInternational audienceOur societies are in the midst of a paradigm shift that transforms hierarchal markets into an open and networked economy based on digital technology and information. In that context, open data is widely presumed to have a positive effect on social, environmental and economic value; however the evidence to that effect has remained scarce. Subsequently, we address the question how the use of open data can stimulate the generation of sustainable value. We argue that open data sharing and reuse can empower new ways of generating value in the sharing society. Moreover, we propose a model that describes how different mechanisms that take part within an open system generate sustainable value. These mechanisms are enabled by a number of contextual factors that provide individuals with the motivation, opportunity and ability to generate sustainable value

Learning from joint venturing experience The case of foreign direct investment by Singapore companies in China

SIGLEAvailable from British Library Document Supply Centre-DSC:D202299 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

The impact of R&D on value added for domestic and foreign firms in a newly industrialized economy

International Business Review174423-44

Projecting the Future for Design Science Research: An Action‐Case Based Analysis

Design science research should be relevant, valuable, purposeful and prescriptive. Its value as a relevant source of prescriptions implies the practical usefulness of its results beyond a single expository instantiation. But propagation of such design science products as design principles and theories appears to be a key challenge. In this paper we commence with a DESRIST paper from 2012 that instantiated design principles in an artefact for a bank. That paper included plans and techniques for future use of its principles (propagation), including prescriptions for a five-phase adoption process. In this paper we discuss the propagation issues around generalizing design science research across multiple contexts and purpose alternative propagation concepts of projectability and entrenchment. The existing concepts around generalizability have issues that make them less suitable for design science research: context (local/possible worlds) and theoretical statements based on functional explanations. A projection is any relevant instance that supports a theory. Projectability involves defining the relationship between a base case or evidence and a projection. Entrenchment occurs when design principles or theories have stimulated many actual projections. We demonstrate these concepts in a case study of propagation: a chemical manufacturer and service provider that adopted the design principles arising from that 2012 DESRIST banking-based design science research. We conclude that generalizability is too well-oriented to descriptive research and argue that a more appropriate framing for design science research is projectability and entrenchment. The paper includes recommendations to increase the projectability of design science research