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@article{Lascialfari2022,

title = {Unpacking research lock-in through a diachronic analysis of topic cluster trajectories in scholarly publications},

author = {Matteo Lascialfari and Marie-Benoît Magrini and Guillaume Cabanac},

url = {https://link.springer.com/article/10.1007/s11192-022-04514-3

https://link.springer.com/content/pdf/10.1007/s11192-022-04514-3.pdf?pdf=button%20sticky},

doi = {https://doi.org/10.1007/s11192-022-04514-3},

year  = {2022},

date = {2022-11-01},

urldate = {2022-11-01},

journal = {Scientometrics},

volume = {127},

abstract = {Lock-in and path-dependency are well-known concepts in economics dealing with unbalanced development of alternative options. Lock-in was studied in various sectors, considering production or consumption sides. Lock-in in academic research went little addressed. Yet, science develops through knowledge accumulation and cross-fertilisation of research topics, that could lead to similar phenomena when some topics do not sufficiently benefit from accumulation mechanisms, reducing innovation opportunities from the concerned field consequently. We introduce an original method to explore these phenomena by comparing topic trajectories in research fields according to strong or weak accumulative processes over time. We combine the concepts of ‘niche’ and ‘mainstream’ from transition studies with scientometric tools to revisit Callon’s strategic diagram with a diachronic perspective of topic clusters over time. Considering the trajectories of semantic clusters, derived from titles and authors’ keywords extracted from scholarly publications in the Web of Science, we applied our method to two competing research fields in food sciences and technology related to pulses and soya over the last 60 years worldwide. These highly interesting species for the sustainability of agrifood systems experienced unbalanced development and thus is under-debated. Our analysis confirms that food research for soya was more dynamic than for pulses: soya topic clusters revealed a stronger accumulative research path by cumulating mainstream positions while pulses research did not meet the same success. This attempt to unpack research lock-in for evaluating the competition dynamics of scientific fields over time calls for future works, by strengthening the method and testing it on other research fields.},

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pubstate = {published},

tppubtype = {article}

}

@article{Franco2022,

title = {Producing and using artificial intelligence: What can Europe learn from Siemens’s experience?},

author = {Sebastián Fernández Franco and Juan M Graña and David Flacher and Cecilia Rikap},

url = {https://www.researchgate.net/profile/Juan-Grana-2/publication/360759657_Producing_and_using_artificial_intelligence_What_can_Europe_learn_from_Siemens's_experience/links/62a739f955273755ebe9963b/Producing-and-using-artificial-intelligence-What-can-Europe-learn-from-Siemenss-experience.pdf},

doi = {10.1177/10245294221097066},

year  = {2022},

date = {2022-06-10},

urldate = {2022-06-10},

journal = {Competition & Change},

volume = {0},

pages = {1–30},

abstract = {This paper examines the innovation strategy of Siemens, a key player in Europe’s digital economy, by performing network and lexical analyses using data derived from Siemens’s patents and scientific publications since 1998. We observe that the company’s innovation efforts evolved from a broader attempt to develop internal information and communication technology (ICT) capabilities – alongside its historical industrial priorities – to a strategy focused on developing artificial intelligence (AI) for sector-specific and niche applications (such as life and medical sciences). As a result, it became dependent on tech giants’ clouds for accessing more general AI services and digital infrastructure. We build on the intellectual monopoly literature focusing on the effects of tech giants on other leading corporations, to analyse Siemens’s experience. By abandoning the development of general ICT and given the emergence of tech giants as digital economy intellectual monopolies, we show that Siemens is risking its technological autonomy towards these big tech companies. Our results provide clues to understand the challenges faced by Europe and its firms in relation to US and Chinese tech giants.},

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}

@article{Bordignon2021b,

title = {Over‐promotion and caution in abstracts of preprints during the COVID ‐19 crisis},

author = {Frederique Bordignon and Liana Ermakova and Marianne Noël},

url = {https://onlinelibrary.wiley.com/doi/10.1002/leap.1411},

doi = {https://doi.org/10.1002/leap.1411},

year  = {2021},

date = {2021-07-21},

urldate = {2021-07-21},

organization = {Learned Publishing},

abstract = {The abstract is known to be a promotional genre where researchers tend to exaggerate the benefit of their research and use a promotional discourse to catch the reader's attention. The COVID-19 pandemic has prompted intensive research and has changed traditional publishing with the massive adoption of preprints by researchers. Our aim is to investigate whether the crisis and the ensuing scientific and economic competition have changed the lexical content of abstracts. We propose a comparative study of abstracts associated with preprints issued in response to the pandemic relative to abstracts produced during the closest pre-pandemic period. We show that with the increase (on average and in percentage) of positive words (especially effective) and the slight decrease of negative words, there is a strong increase in hedge words (the most frequent of which are the modal verbs can and may). Hedge words counterbalance the excessive use of positive words and thus invite the readers, who go probably beyond the ‘usual’ audience, to be cautious with the obtained results. The abstracts of preprints urgently produced in response to the COVID-19 crisis stand between uncertainty and over-promotion, illustrating the balance that authors have to achieve between promoting their results and appealing for caution.},

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pubstate = {published},

tppubtype = {article}

}

@article{Rikap2020,

title = {Amazon: A story of accumulation through intellectual rentiership and predation },

author = {Cecilia Rikap},

doi = {https://doi.org/10.1177/1024529420932418},

year  = {2020},

date = {2020-06-17},

journal = {Competition & Change},

abstract = {This article elaborates on intellectual monopoly theory as a form of predation and rentiership using Amazon as a case study. By analysing Amazon’s financial statements, scientific publications and patents, we show that Amazon’s economic power heavily relies on its systematic innovations and capacity to centralize and analyse customized data that orients its business and innovations. We demonstrate how Amazon’s innovation activities have evolved over time with growing importance of technologies related to data and machine learning. We also map Amazon’s innovation networks with academic institutions and companies. We show how Amazon appropriates intellectual rents from these networks and from technological cooperation with other intellectual monopolies. We argue that Amazon, as other data-driven monopolies, predates value from suppliers and third-party companies participating in its platform. One striking characteristic of Amazon is the low rate of reported profits. The centrality of innovations leads us to suggest an alternative calculation that shows that Amazon’s profits are not as low as they appear in Annual Reports. We also argue that lower profits are coherent with Amazon’s rentiership and predatory strategy since they contribute to the avoidance of accusations of excessive market power. Finally, the paper offers preliminary observations on: (i) the complementarities between financial and intellectual rentierism and (ii) how data-driven intellectual monopoly expands big corporations’ political power. Going beyond the specific case of Amazon, we thus contribute to a better understanding of the role of lead firms and power dynamics within innovation networks.},

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pubstate = {published},

tppubtype = {article}

}

@article{Marvuglia2020,

title = {Advances and challenges in assessing urban sustainability: an advanced bibliometric review},

author = {Antonino Marvuglia and Lisanne Havinga and Oliver Heidrich and Jimeno Fonseca and Niki Gaitanie and Diana Reckien},

doi = {https://doi.org/10.1016/j.rser.2020.109788},

year  = {2020},

date = {2020-03-06},

urldate = {2020-03-06},

journal = {Renewable and Sustainable Energy Reviews},

abstract = {With nearly 70% of the world population expected to live in cities by 2050, assessing the sustainability of urban systems, both existing and future ones, is becoming increasingly relevant. Making cities more sustainable is a global priority, which is highlighted by ‘Sustainable Cities and Communities’ being listed as one of the Sustainable Development Goals (SDG) adopted by United Nations Member States in 2015. This Virtual Special Issue (VSI) explores the implementation and assessment of policies and technologies that contribute to the transition to a sustainable, energy efficient and regenerative society. We organized the issue according to four main research themes: 1) Renewable Energy Systems (i.e., different types of systems, qualitative assessments and public acceptance); 2) Sustainable Built Environment (which includes construction, operation and refurbishment); 3) Multi-Scale Models (considering urban sustainability transition from building to districts, or cities and regions to multi-country comparisons and their scaling across different countries); and 4) Governance and Policy (climate change mitigation and adaptation plans/policies that are reported across countries, urban services and infrastructures).



This paper serves two purposes. The first is to provide an analysis about patterns, correlations and synergies found across the different topics that have been addressed over the last 20 years in the literature about cities’ sustainability paths. A bibliometric analysis and a contingency matrix show the degree of correlation between scientific journals and main topics addressed by published articles. Secondly, the paper acts as an Editorial to the VSI, introducing the wealth of research articles and topics included in it. Both the bibliometric analysis and the papers published in this VSI demonstrate the interconnectedness of energy consumption, pollutant emissions and the competition for finite resources. The aim is to present advances and challenges of this exciting and ever-evolving research field to inform and guide future studies of urban sustainability.},

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pubstate = {published},

tppubtype = {article}

}

@article{Rikap2019,

title = {Asymmetric Power of the Core: Technological Cooperation and Technological Competition in the Transnational Innovation Networks of Big Pharma},

author = {Cecilia Rikap},

url = {https://www.tandfonline.com/doi/abs/10.1080/09692290.2019.1620309},

doi = {10.1080/09692290.2019.1620309},

year  = {2019},

date = {2019-06-26},

urldate = {2019-06-26},

journal = {Review of International Political Economy},

volume = {26},

number = {5},

pages = {987-1021},

abstract = {This article theoretically and empirically analyzes leader corporations’ innovation processes in contemporary capitalism. We highlight three characteristics: their transnational scope, the primacy of power or asymmetric relations exercised by leaders over the participants of their innovation circuits or networks, and the relevance of what we called technological competition and technological cooperation between leaders. Focusing on the latter, our theoretical contribution integrates the concepts of innovation circuit, global innovation network and modularity of knowledge production in order to elaborate a preliminary model for synthesizing leader’s technological competition and collaboration behaviors. This model is the general framework used for studying three big pharma’s innovation networks (Roche, Novartis and Pfizer). In particular, we study those networks by considering two outputs: scientific publications and patents. Network maps are constructed based on institutions’ co-occurrences, thus looking at who is co-authoring their publications and co-owning these corporations’ patents. We find that big pharmaceuticals co-produce together mainly generic knowledge modules, thus develop a strong technological cooperation. Simultaneously, to succeed in their technological competition they outsource stages of their innovation networks to subordinate institutions that, even if they contribute to achieve the innovation, will not be co-owners of the resulting patents, while big pharmaceuticals enjoy associated innovation rents.},

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}