Smart specialisation, Industry 4.0 and lagging regions: some directions for policy

Barzotto, Mariachiara; Corradini, Carlo; Fai, Felicia; Labory, Sandrine; Tomlinson, Philip R.

doi:10.1080/21681376.2020.1803124

Cited by 37 publications

(21 citation statements)

References 41 publications

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“…In this regard, the results of this study may find practical application in the implementation of management measures by the heads of foundations, corporations, and development agencies (Maydanova and Ilin 2019;Rodionov et al 2018), as well as individual business structures (Kolyasnikov and Kelchevskaya 2020;Maskuriy et al 2019) to identify key areas of investment. The mathematical model of funding allocation under investment constraints can be used as a tool for effective financial management of digital technologies by different levels of authorities (Barzotto et al 2020;Grodach and Gibson 2019;Lapidus et al 2019;Nikitina and Ruchkin 2019).…”

Section: The Implications Of This Study For Practice and Theorymentioning

confidence: 99%

Building a Model for Financial Management of Digital Technologies in the Areas of Combinatorial Effects

et al. 2021

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The race of states for digital leadership faces the challenges of digital transformation foresight, providing combinatorial effects and acceleration of digitalization processes, contributing to a more efficient allocation of limited financial resources. This situation determines the relevance of the authors’ study, which aims to develop an appropriate model for the allocation of funds for digital technologies. The methodology of the study is based on the concepts of technological modes and cyclical development of the economy. The paper presents the authors’ definition of the concept “digital space,” which is new to Russian scientific literature. The key research method is mathematical modeling. The scientific novelty of the paper is chronological architectonics of digital transformations, built by the authors, and the model of distribution of financing under the investment constraints due to the trust limit of the society institutions, the time of fluctuations of the system of technological adaptation, and the response of the institutional environment to the digital limits of the transformations. The practical significance of the proposed models is the identified tandem interconnected digital technologies of the areas of combinatorial effects that accelerate the dynamics of Industry 4.0, as well as the resulting tools for the effective management of digital technology financing. The obtained theoretical and empirical results are desirable for the heads of government agencies, foundations, corporations, and development agencies, as well as enterprises interested in accelerating digital transformation and increasing strategic competitiveness in the digital space.

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Section: The Implications Of This Study For Practice and Theorymentioning

confidence: 99%

Building a Model for Financial Management of Digital Technologies in the Areas of Combinatorial Effects

et al. 2021

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“…Inclusive growth has emerged as a 'buzz word' to describe the strategies that have challenged existing agglomeration-based models and reorientated towards socioeconomic aims (Deas et al, 2020;Lee and Sissons, 2016). Despite being critiqued for conflating competing economic development ambitions (Lee, 2019), the underpinnings of the concept as a route to concurrently redistribute wealth and stimulate growth are gaining traction in discursive and policy channels (Barzotto et al, 2020;Green et al, 2021). Even though imprecise, the concept appeals to policy makers who can adopt principles enabling more progressive goals (Deas et al, 2020).…”

Section: Foundational Economy Stability and Inclusive Growthmentioning

confidence: 99%

Digitalisation and the foundational economy: A digital opportunity or a digital divide for less-developed regions?

Reynolds

Henderson

et al. 2021

Local Economy: The Journal of the Local Economy Policy Unit

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The foundational economy’s heightened traction in academic and policy discussion stems in part from its potential to mitigate challenges faced by less-developed regions. While supporting foundational sectors may contribute to inclusive and sustainable growth, we question whether digitalisation can enable these aims. Through a case study of Wales, we point to the differences in digital capability of foundational and non-foundational businesses in urban and rural parts of the region. We show that while investment in digital infrastructure and digital technology use may support the foundational economy, digital barriers risk countering the benefits of its sectors’ embeddedness and exacerbating spatial divides.

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“…The negative effects of the insufficient use of ICT, the divergence process, are therefore observable instead of the commonly recognized convergence process (de Castro & Jensen-Butler, 2003). ICT affects inequalities as its later implementation in peripheral regions results in social and spatial inequalities (Jakobi, 2012;Barzotto et al, 2020).…”

Section: Ict As a Priority In The Smart Specialization Strategy -The Literature Reviewmentioning

confidence: 99%

Bank maturity, income diversification, and bank stability

Dziembała

Talar

2021

Journal of Business Economics and Management

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The aim of the paper is to answer the overriding question what is the role of ICT in implementation of smart specialization (SS) in EU regions (NUTS2 level)? This role can be dual and ICT is considered in this study both as an invention which has led to the emergence of new sector, and from the perspective of general purpose technology (GPT) properties where ICT plays the role of input in innovation process. There are used following methods and techniques: desk research, descriptive statistical analysis, the correlation measure and Hellwig’s method of taxonomic analysis. The main findings indicate that in practice SS in ICT is not focused on development ICT as invention and is not based on readiness to usage of ICT as GPT. However, the abilities of regions to take advantage of ICT as a driver of innovation (as GPT) are materially related to specialization in the ICT sector (development ICT as invention). The findings bring some improvements by evidence-based policy making. The research contribute to the better understanding of the innovation determinants during digital transformation and especially the base of specialization in ICT as GPT under SS assumptions.

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Smart specialisation, Industry 4.0 and lagging regions: some directions for policy

Cited by 37 publications

References 41 publications

Building a Model for Financial Management of Digital Technologies in the Areas of Combinatorial Effects

Building a Model for Financial Management of Digital Technologies in the Areas of Combinatorial Effects

Digitalisation and the foundational economy: A digital opportunity or a digital divide for less-developed regions?

Bank maturity, income diversification, and bank stability

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