Dr. Dlamini is an Information Technology & Engineering Management professional with 10+ years of experience in designing, deploying and supporting critical multi-site information technology department projects. He is an expert in leading complex multistage software engineering, learning management systems and computational networking projects. Throughout his professional experience he has proven himself as an expert in analyzing & conceptualizing policy documents to produce software or systems’ requirements using Use Cases Model then develop functional & non-functional system design specifications following the Architecture-Centric & the Iterative & Incremental process. He has experience in managing all phases of project life: inception, documentation, design, implementation, management of Service Level Agreements (SLA), evaluation, monitoring and administration. He has developed expertise in strategic alignment of information and communication technologies (ICT) for sustainable development and transparent reporting.
The ‘disruptive change’ in our society alters the existing value networks to develop ideas and getting innovation solutions or services to the market faster and at a right price. According to Prendeville (2015) “only 30% of executives are very satisfied with their performance converting ideas into market ready products, services, and business models; just 21% believe they have an effective process for capturing ideas from outside their company; and 28% cite lateness to market as a key reason for innovation failure”(p. 28). Given that innovation is the engine of economic development after human capital and the fact that the South African economy lies on ‘life support,’ there is a need to champion new scientific and conceptual perspectives to inspire disruptive innovation processes. However, there exists no systematic overview of research done on ‘Digital Innovation Ecosystem’ from a mathematical and informatics laws of software and software engineering psychology perspective. This work provides an overview of the ‘innovative ecosystem’ and ‘digital ecosystem’ with a view to establish the knowledge boundaries in complex innovation and identify future research.
1. Conceptualization of the ‘Digital Innovation Ecosystem’. 2. Understanding of how ‘Digital Innovation Ecosystem’ support new entrepreneurial opportunities.