Table 7 Summary of the studies with managerial focus Study Sample Key findings Blohm et al. (2013) 14 expert interviews Identifies the challenges of implementing crowdsourcing and shows how organizational leaders can build the necessary absorptive capacity to capture value from crowdsourced data.
This paper identifies the challenges of integration and four key areas of future research and development at the intersection of energy and ICT: standards-based interoperability, reliability and security, decentralized and self-organizing grid architecture, and innovative business models to unlock the potential of the energy value chain.
On page 16 the document identifies "the challenge of encouraging redevelopment and regeneration in the borough whilst maintaining and extending the human scale of the Victorian streetscape".
"Particularly at a time when the world is changing so rapidly around us and our own country is changing so rapidly," he said, "there's a way in which an arts festival can focus really important questions and identify the challenges of life and make us see life in great and surprising and very beautiful ways".
Among the published studies, very few review papers identify the challenges of implementing flipped classrooms based on empirical evidence across studies.
We discuss the steps of the proposed systemic approach in order to identify the challenges of applying them within the biobased economy.
We identify the challenges of improving scalability, performance, energy efficiency, and resilience of the I/O software stack, while accessing a deepening hierarchy of volatile and nonvolatile storage.
In Section 3 we will discuss the benefits and opportunities of smart cities, big data, and their applications and in Section 4 we will identify the challenges of using big data for smart city applications and services.
This review aims to identify the challenges of using co-culture systems and to highlight different approaches with respect to the use of biomaterials in the use of such systems.
In this chapter, we define data-intensive computing, identify the challenges of massive data, outline solutions for hardware, software, and analytics, and discuss a number of applications in the areas of biology, cyber security, and atmospheric research.
We identify the challenges of, and strategies for, biliterate academic work, and show the key role of language-minority institutional spaces and continued governmental support in creating enabling contexts for biliteracy.
