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Unleashing the industrial transformative capacity of innovations
Publication . Fontes, Margarida; Bento, Nuno; Andersen, Allan Dahl
ABSTRACT: This paper investigates the conditions in which the development of new technologies induce structural change in the economy. A literature review reveals three factors that influence the industrial transformative capacity of a technology: context; complementarities; competition. We explore the dynamics of these factors, focusing on the extent and nature of induced activities in adjacent sectors. We apply this framework to study marine renewable energy technologies (MRET) in Portugal. Adjacent sector firms active in several MRET exhibited diversified activity, innovation and internal change. Comparing with Norway, where an offshore sector (oil & gas) supports the emergence of offshore wind, the absence of such sector in Portugal raises challenges but also creates opportunities for the transformation of several other sectors. We develop a new indicator to identify and compare the industrial transformative capacity of innovations. Finally, we discuss the extent to which context, complementarities and competition contribute to accelerate or hinder transformative change.
Transformative business models for decarbonization: the case of Web Summit award-winning start-ups
Publication . Costa, Evaldo; Fontes, Margarida; Bento, Nuno; Academic Conferences International Limited
ABSTRACT: The social demand for decarbonization has placed increasing pressure on businesses to climate mitigation. The development of new business models capable of transforming conventional systems of production and consumption and replacing them with more sustainable alternatives is one critical step towards this goal. This study combines several streams of literature including sustainability transitions and business model narratives to investigate the key-elements of the business models that have the potential to transform the supply of goods and services in a way that enables the transition to a low-carbon society. We investigate the organizational arrangements in the business activities of start-ups and relate to the extent to which they avoid, shift, or improve the production and consumption of goods and services in a way that significantly reduces carbon emissions. To do this, we analyzed start-ups that received innovation awards and were on the list of finalist’s candidates of the Web of Summit between 2014-2020. The results suggest that start-ups may be in the process of transforming their business models (BM), since a growing trend of transformative projects that adopt integrated business models was identified, e.g., business-to-business-to-commerce (B2B2C), instead of the familiar business-to-business (B2B) and business-to-consumer (B2C) models. The findings also highlighted the role of Industry 4.0, such as artificial intelligence (AI) and machine learning (ML), together with other sustainable elements, as crucial to shortening the gap between design and consumption, leveraging innovative solutions, and transforming the model of business, from start-up. This research emphasizes the importance of transformative business models in the context of decarbonization and contributes to filling a gap in the literature on the elements that drive this transformation. The research is also relevant for policymakers aiming to promote a low-carbon economy by highlighting the levers that can be used to promote transformative pathways through business models.
Transformative Business Models for Decarbonization: Insights from Prize-Winning Start-Ups at the Web Summit
Publication . Costa, Evaldo; Fontes, Margarida; Bento, Nuno
ABSTRACT: The increasing social pressure for decarbonization has placed businesses under considerable
scrutiny to actively reduce carbon emissions. A critical step towards achieving this objective is to shift conventional production and consumption systems to more sustainable alternatives. Thus, there is an emergent need to understand the patterns and drivers of the transformative business models (BMs) that underpin that shift. This study adopts a mixed-methods approach that integrates different literature streams—including Sustainability Transitions Theory (STT), Strategic Niche Management (SNM), and the Business Models approach—and stakeholders’ interviews to investigate the key elements of business models that lead towards sustainable practices. This research examines the organizational arrangements of European start-ups operating between 2014 and 2020. The transformation towards decarbonized production and consumption is characterized by an efficient combination of business strategies that incorporate advanced technologies (ATs), such as artificial intelligence(AI), machine learning (ML) and its algorithms, along with sustainable elements, resulting in transformative business models. By exploring the driving elements behind the transition to low-carbon approaches, this study fills a significant gap in the existing literature on business models. The findings
from this research also hold relevance for policymakers to promote decarbonization.
Challenges and opportunities of decarbonization for the economic recovery post-pandemic: The question of directionality in innovation policies
Publication . Bento, Nuno; Fontes, Margarida; Barbosa, Juliana; Mamede, Ricardo Paes
ABSTRACT: Countries face a double challenge of unprecedented scale consisting in drastically reducing
carbon emissions in the time of a generation, while recovering the economy from the worst pandemic crisis in a century. Innovation is key in the response to this double challenge. Innovation policies are increasingly directed at achieving both goals, as governments seek opportunities for transforming the economic structure along with decarbonization. We raise the question of the effect of the direction in the success of the policies for the sustainability transition to achieve the economic transformation. We start by analyzing the processes of change in the economic structure. We identify three possible strategies of transformation: decarbonization, dematerialization and digitalization. Then we compare the evolution of the economic complexity of Portugal, which aspires to transform its economy, with that of three countries that are respectively reference in each one
of the three strategies: Denmark, The Netherlands, and Ireland. Successful strategies evidence specialization in products that involve extensive and sophisticated knowledge, produced with high connectivity to other activities and with low carbon footprint. Based on these results and informed by the theory, we propose a set of conditions—related to the promotion of connectivity to growing sectors, high social return technologies and variety—that need to be aligned in the direction of the policies in order to increase their potential for transformative change.
On the crest of a wave: the variety of place configurations around an emerging energy technology in Europe (1992-2019)
Publication . Fontes, Margarida; Santos, Hélder; Sá Marques, Teresa
ABSTRACT: The study investigates the variety in place configurations around a sustainable technology, in its early phase of development. Adopting a systemic and multi-scalar approach to technology development, this article proposes that the spatially distributed nature of technology emergence leads to the formation of different place configurations of actors and networks around the technology, which can contribute in different ways to its development. Using the case of wave energy technology and a methodology that permits to encompass and compare emergent processes unfolding across Europe, the research uncovers five place profiles, which denote different positions in the emerging system and thus need to be jointly considered to fully understand the process of new system development. The article adds to knowledge on the multi-place and multi-scale systemic processes that are at work in the early phases of technology development, contributing to a better understanding of global system construction around a new sustainable technology.
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Funding agency
Fundação para a Ciência e a Tecnologia
Funding programme
3599-PPCDT
Funding Award Number
PTDC/GES-AMB/0934/2020