Smart Specialisation and the Entrepreneurial Discovery: A New Approach to Design Structural Change

2018 ◽  
pp. 55-75
Author(s):  
Hugo Pinto ◽  
Carla Nogueira ◽  
Chiara Carrozza ◽  
Raphael D’Emery
Keyword(s):  
Structural Change ◽  
New Approach ◽  
Entrepreneurial Discovery ◽  
Smart Specialisation

scholarly journals From smart specialisation to smart experimentation

2014 ◽  
Vol 58 (1) ◽  
Author(s):  
Maximilian Benner
Keyword(s):  
Regional Policy ◽  
Evolutionary Economics ◽  
The European Union ◽  
Basic Principles ◽  
Entrepreneurial Discovery ◽  
Structural Funds ◽  
Smart Specialisation ◽  
Eu Structural Funds ◽  
Micro Level ◽  
Relational Economic Geography

AbstractThe idea of smart specialisation has gained high prominence in the discourse about the regional policy of the European Union (EU). In the coming program period from 2014 to 2020 it is expected to be a major pillar of EU structural funds. The notion of smart specialisation incorporates some basic principles of evolutionary economics and centers on the idea of an entrepreneurial discovery process of new trajectories on the regional level. It does not, however, sufficiently take into account the relevance of individual agents, their actions, and their relations with each other in the identification, creation, development, and destruction of technological and economic trajectories. For this, a focus on micro-level dynamics is needed that provides the base for experimentation. Therefore, this paper proposes the new concept of smart experimentation. This notion aims to complement smart specialisation. It is anchored not only in evolutionary economics, but also in relational economic geography.

Measuring Structural Change

2019 ◽  
pp. 348-362
Author(s):  
Célestin Monga ◽  
Samuel Standaert
Keyword(s):  
Structural Change ◽  
Structural Transformation ◽  
Comparative Advantage ◽  
Structural Characteristics ◽  
New Approach ◽  
Outcome Index ◽  
The Individual ◽  
Traditional Approaches ◽  
New Structural Economics

This chapter examines the specific problems that arise when creating an index of structural change and development, and offers recommendations to address them. It first considers the four steps to composing a policy index and an outcome index: define what the index is trying to measure; identify suitable indicators that track (parts of) the definition decided upon in the first step; normalize the individual indicators and aggregate them into the final index; and analyse the index and report on the results. The chapter then discusses traditional approaches to measuring structural transformation, along with their shortcomings, before introducing a new approach. Insights from New Structural Economics are highlighted, including the argument that the desired structural characteristics of countries are determined by their comparative advantage, which in turn depends on their level of development.

Service Positioning through Structural Change

1987 ◽  
Vol 51 (1) ◽  
pp. 34-43 ◽  
Author(s):  
G. Lynn Shostack
Keyword(s):  
Structural Change ◽  
Process Design ◽  
Service Systems ◽  
Rational Basis ◽  
New Approach ◽  
Structural Process ◽  
Positioning Strategy

The basis of any service positioning strategy is the service itself, but marketing offers little guidance on how to craft service processes for positioning purposes. A new approach suggests that within service systems, structural process design can be used to “engineer” services on a more scientific, rational basis.

scholarly journals Lessons Learnt: Changes in the Methodology of the Entrepreneurial Discovery Process in Defining the Priorities of Hungarian Smart Specialisation Strategies

2021 ◽  
Vol 13 (22) ◽  
pp. 12695
Author(s):  
Zoltán Birkner ◽  
Ádám Mészáros ◽  
István Szabó
Keyword(s):  
Strategic Planning ◽  
Discovery Process ◽  
Policy Documents ◽  
Hungarian Literature ◽  
Entrepreneurial Discovery ◽  
Lessons Learnt ◽  
Smart Specialisation ◽  
Planning Cycle ◽  
Institutional System

This study shows how one of the fundamental methods of designing and implementing the Smart Specialisation Strategy (S3), the Entrepreneurial Discovery Process (EDP), was applied in the period of 2014–2020 and how, taking accrued experience into account, it has been adjusted in the new planning cycle in Hungarian practice. Based on Hungarian strategies and other policy documents, international and Hungarian literature, the study shows that although the involvement of relevant actors in strategic planning and prioritising was achieved in both cycles, the nature of the actors’ participation differed fundamentally in the two periods. We found that learning from the experience of planning the S3 for 2014–2020, the design of the 2021–2027 strategy required improving the focus of priorities, validating priorities and creating an institutional system capable of making EDP continuous during the cycle 2021–2027, in line with the European Commission’s expectations. We concluded that a well-functioning EDP methodology is an essential part of the substantive realisation of an S3 that can be dynamically shaped according to the challenges.

Smart specialisation strategies in south Europe during crisis

2014 ◽  
Vol 17 (4) ◽  
pp. 448-471 ◽  
Author(s):  
Nicos Komninos ◽  
Bernard Musyck ◽  
Alasdair Iain Reid
Keyword(s):  
Private Investment ◽  
Added Value ◽  
Discovery Process ◽  
Regional Innovation ◽  
Content Type ◽  
Entrepreneurial Discovery ◽  
South East Europe ◽  
Exit Route ◽  
Smart Specialisation ◽  
Innovation Strategies

Purpose – The purpose of this paper is to assess how national and regional authorities in south-east Europe in a period of crisis perceive and set in motion research and innovation strategies for smart specialisation (RIS3) and the options that these strategies offer to overcome the current fiscal and development crisis. Design/methodology/approach – The paper starts with a literature review on the guiding principles of smart specialisation strategies and the differences from previous rounds of regional innovation strategies. Evidence on smart specialisation efforts is provided by cases studies in Greece, Slovenia, and Cyprus, focusing on the elaboration of such strategies in three countries with precarious innovation systems under severe conditions of crisis. The case studies are organised around key aspects of the smart specialisation logic, such as the selection of specialisation priorities, bottom-up governance, private sector leadership, and engines of innovation and competitiveness. Findings – The paper explores the obstacles encountered in running effective RIS strategies under crisis conditions. The paper highlights the main challenges to address, such as the readiness and credibility of public authorities to design and implement sound RIS3 strategies, the willingness of companies to be involved in strategic planning, the availability of private investment funds, innovation and diversification during a crisis, and the drivers of specialisation that could lead to competitiveness and growth. In the conclusions the paper identifies three routes towards smarter productive diversification and five critical stages in the entrepreneurial discovery process. Originality/value – The paper has both practical and theoretical significance. It focuses on the main challenges of smart specialisation and offers guidance in the elaboration of RIS3 in peripheral EU economies. On the other hand, it proposes a model for the entrepreneurial discovery process, based on the assessment of areas and futures of productivity and added-value increase, as productive diversification and crisis exit route.

Linguistic dynamic simulation A new approach

SIMULATION ◽  
1987 ◽  
Vol 49 (5) ◽  
pp. 208-212 ◽  
Author(s):  
António S. Câmara ◽  
Paula C. Antunes ◽  
Manuel Duarte Pinheiro ◽  
Maria Julia Fonseca de Seixas
Keyword(s):  
Structural Change ◽  
Dynamic Simulation ◽  
Linguistic Variables ◽  
High Level Language ◽  
New Approach ◽  
Modeling Methodology ◽  
Potential Applications ◽  
High Level ◽  
Logical Rules ◽  
Very High

A new dynamic modeling methodology, SLIN, allows for the analysis of systems defined by linguistic variables. SLIN applies a set of logical rules which include base, tactical, strategic and structural change. To make the transition from qualitative to quantitative modes, logical rules are also used. SLIN is advanta geously implemented in a very high-level language such as PRO LOG. A simple ecological modeling problem illustrates SLIN's potential applications.

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