Search

Objective: to identify narratives describing the use of public procurement system for innovation policy implementation and to critically analyze them.Methods: quantitative analysis of the frequency of narratives, qualitative analysis of narratives to identify protomodels, institutions and social context.Results: in the modern Russian economic system, public procurement is used as a tool for implementing the national innovation policy. The analysis of legal acts regulating public procurement of innovative and high-tech goods showed the trends that potentially reduce the variability of procuring entities' actions and the transparency of procurement procedures. Based on the tools of narrative economics, the authors analyzed the attitude of actors (representatives of the state, business and academia) of the Russian innovation system to the existing practice of public procurement in the context of the national innovation policy. As a result, the work presents a typology of public procurement problems, discussed in mass media, for Russia’s innovative development.Scientific novelty: the considered narratives show that, in relation to the Russian innovation system, the public procurement subjects can act in the logic of the “principal-agent” theory, while the tendency to reduce transparency is welcomed by some actors.Practical significance: institutional analysis of the recent changes in public procurement, including the rules governing the procurement of innovative and high-tech products, has revealed the devolution of formalized rules aimed at the implementation of state innovation policy. Together with the increased level of privacy in organizational activities of procuring entities, this carries the risks of not only increasing the level of opportunistic behavior of the public procurement market subjects, but also decreasing confidence in the entire public procurement system.

There is growing awareness within the economics profession of the important role narratives play in the economy. Even though empirical approaches that try to quantify economic narratives are getting increasingly popular, there is no theory or even a universally accepted definition of economic narratives underlying this research. First, we review and categorize the economic literature concerned with narratives and work out the different paradigms at play. Only a subset of the literature considers narratives to be active drivers of economic activity. To solidify the foundation of narrative economics, we propose a definition of collective economic narratives, isolating five important characteristics. We argue that, for a narrative to be economically relevant, it must be a sense‐making story that emerges in a social context and suggests action to a social group. We also systematize how a collective economic narrative differs from a topic and from other kinds of narratives that are likely to have less impact on the economy. With regard to the popular use of topic modeling, we suggest that the complementary use of other methods from the natural language processing (NLP) toolkit and the development of new methods is inevitable to go beyond identifying topics and move towards true empirical narrative economics. [ABSTRACT FROM AUTHOR]

Comparing recommendations coming from the theoretical research on economic modeling of the national innovation system with suggestions based on the narrative analysis of actors from the Russian innovation system (RIS) may help design a strategy for the regulation of innovative development. The study aims to produce recommendations for the state innovation policy by examining actors’ perceptions. Narrative economics combined with elements of original institutionalism constitutes the methodological basis of the research. The paper uses qualitative methods of narrative analysis. The evidence base is narratives of the RIS actors contained in rating and specialised Russian media and Internet resources, as well as in 27 in-depth interviews, selected during the online expert sampling. According to the study’s findings, the RIS actors note a significant role of the state in the development of innovation in the narratives, but at the same time point to such problems as inconsistency of government actions, instability of innovation policy, lack of effective mechanisms for increasing financing of innovation projects. Respondents attach particular importance to business involvement in innovation, creation and promotion of entrepreneurial initiative, expansion of economic freedom. The results of the study allow identifying the most critical factors in and methods for boosting activity in the national innovation system.

This research addresses the strategic issue of why key decision-makers fail to foresee potential extreme 'black swan' events. Following a review of the literature, a conceptual framework is developed that identifies two types of organisational blindness that are reflected in Tetlock's hedgehog cognitive thinking style, being the oversimplification of uncertainty (e.g., inductive biases) and an unquestioned, top-down, reference narrative. This framework is tested using a case study approach and qualitative analysis of secondary data sources available from the Royal Commission of Inquiry and other published reports following the 2010 methane explosion at the Pike River Coal Ltd.'s mine (Pike) in New Zealand, that killed 29 miners and caused the loss of all funds invested. The results indicate that the combined effect of both blindnesses meant that Pike's collective intelligence was limited, and for the three key decision-makers at the Pike River mine, some type of extreme 'black swan' event was apparently inevitable. This research provides theoretical and practical contributions to the analysis of business and public policy decision-making under uncertainty. [ABSTRACT FROM AUTHOR]

This research addresses the strategic issue of why key decision-makers fail to foresee potential extreme ‘black swan’ events. Following a review of the literature, a conceptual framework is developed that identifies two types of organisational blindness that are reflected in Tetlock’s hedgehog cognitive thinking style, being the oversimplification of uncertainty (e.g., inductive biases) and an unquestioned, top-down, reference narrative. This framework is tested using a case study approach and qualitative analysis of secondary data sources available from the Royal Commission of Inquiry and other published reports following the 2010 methane explosion at the Pike River Coal Ltd.’s mine (Pike) in New Zealand, that killed 29 miners and caused the loss of all funds invested. The results indicate that the combined effect of both blindnesses meant that Pike’s collective intelligence was limited, and for the three key decision-makers at the Pike River mine, some type of extreme ‘black swan’ event was apparently inevitable. This research provides theoretical and practical contributions to the analysis of business and public policy decision-making under uncertainty.