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The study aims to provide insights in the sensemaking process and the use of business analytics (BA) for project selection and prioritisation in start-up settings. A major focus is on the various ways start-ups can understand their data through the analytical process of sensemaking.

This is a comparative case study of two start-ups that use BA in their projects. The authors follow an interpretive approach and draw from the constructivist grounded theory method (GTM) for the purpose of data analysis, whereby the theory of sensemaking functions as the sensitising device that supports the interpretation of the data.

The key findings lie within the scope of project selection and prioritisation, where the sensemaking process is implicitly influenced by each start-up's strategy and business model. BA helps start-ups notice changes within their internal and external environment and focus their attention on the more critical questions along the lines of their processes, operations and business model. However, BA alone cannot support decision-making around less structured problems such as project selection and prioritisation, where intuitive judgement and personal opinion are still heavily used.

This study extends the research on BA applied in organisations as tools for business development. Specifically, the authors draw on the literature of BA tools in support of project management from multiple perspectives. The perspectives include but are not limited to project assessment and prioritisation. The authors view the decision-making process and the path from insight to value, as a sensemaking process, where data become part of the sensemaking roadmap and BA helps start-ups navigate the decision-making process.

This paper aims to consider the case study of Ireland with regards to the implementation of a formal parliamentary technology assessment (PTA) capability. With emphasis on innovation and knowledge-based economies, society faces a proliferation of technological challenges with far-reaching unpredictable impacts. Elected representatives need unbiased scientific knowledge to underpin evidence-based policy-oriented decision-making. PTA is directed at policy-oriented decision-making processes within the parliament. It identifies the role played by existing agencies and the gaps that remain to be filled in the current landscape. It explores the feasibility of potential future institutional arrangements in a country without a recognised formal PTA agency.

An embedded case study approach was utilised based on three main sources of evidence: relevant published documents pertaining to science and technology governance; interviews with key decision-makers; and illustrative case of “hydraulic fracturing” demonstrating key issues stemming from the lack of a formal PTA structure.

The case revealed the interplay between key actors in the area of science, technology and innovation in Ireland. It demonstrated the need for improved citizen engagement. The analysis revealed that formal technology assessment channels should be established to provide a voice for civil society to engage in policy-making. Given the requirements and constraints, a feasible way to implement PTA seems to be the “parliamentary office” model which would seem to be a good fit in the context of Ireland’s current situation.

The paper presents how PTA may be realised in a country without a formal PTA agency using a parliamentary office model to provide a channel for citizen engagement in science, technology and innovation (STI) policy-making.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

Business analytics (BA) can help firms better select and prioritize project work they undertake. Data generated through analytics permits awareness of changes in the operating environment and can be used to inform sensemaking and alongside intuition to enhance decision-making.

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