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    Exploring the effect of digital transformation on firms’ innovation performance

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    The influence of digital industry and firm digitization on enterprise innovation has emerged as a critical research topic. To assess the impact of digital transformation on enhancing innovation output, we propose a game model of two organisations investing in digital transformation, analyse the index of enterprise digitalization level with Python tools for text analysis, and employ a fixed effect model. The findings indicate that firm digitalization and the level of regional digital industry innovation can both promote firm innovation. However, the regional digital industry innovation level can have a negative moderating effect on the firm digitalization innovation effect. Furthermore, the impact of firm digitalization on innovation is more visible in digital-related service industries. In other industries, the regional digital industry innovation level has a greater impact on innovation promotion. Due to firms' free-riding tendency in technology adoption, this study shows that the higher the level of digital industrialization in the region where the firm is located, the lower the marginal innovation efficiency of the firm's digital investment. When the level of development of digital industrialization in the region where a firm is located is higher, the "competitive effect" improves the marginal innovation efficiency of firms in adjacent areas, implying that digital industrialization has a spatial spillover effect. The relevant robustness test further verifies the conclusion of the empirical analysis. As a result, the digital industry should be given more attention and financial support

    The effect of credence attributes on willingness to pay a premium for organic food: a moderated mediation model of attitudes and uncertainty

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    Objective: With consumers’ concerns about food safety and the environment growing, the interest in organic food has increased. However, due to the late start of the organic food market in China, the market size of the Chinese organic food industry is still relatively small. This study aims to examine whether organic food credence attributes have an impact on consumers’ attitudes and willingness to pay a premium (WTPP), in order to provide valuable information to facilitate the development of the organic food market in China. Methods: A questionnaire survey was conducted with 647 respondents in China. Structural equation modeling (SEM) was utilized to verify the model and test the relationships among the constructs. Results: EM analyses showed that credence attributes stimulate consumers’ attitudes and increase consumers’ WTPP. Utilitarian attitudes and hedonistic attitudes play a partially mediating role in the relationship between credence attributes and WTPP. Uncertainty negatively moderates the role between utilitarian attitudes and WTPP, while it positively moderates the role between hedonistic attitudes and WTPP. Discussion: The findings reveal the motivations and barriers for Chinese consumers to purchase organic food at a premium, providing a theoretical basis for companies to gain a deeper understanding of consumer groups and develop organic food marketing strategies

    Blake and exhibitions, 2022

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    This essay documents the works by William Blake displayed in the year 2022

    Victorian beauty

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    This introduction celebrates the work of Professor Hilary Fraser and discusses the contributions to this issue of 19 on the theme of Victorian Beauty

    Which regional conditions facilitate university spinouts retention and attraction?

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    We investigate the economic and institutional factors that help regions to retain university spinouts (USOs) founded within their borders, and to attract USOs from other regions. Using UK data, we find that regions with high USO retention rates have lower urbanisation and localisation economies. This indicates that locally-founded USOs take advantage of cheaper inputs, in addition to proximity to their home university. Regions with high USO attraction rates have higher localisation economies and innovation resources, suggesting that USOs move there to benefit from dynamic innovation systems. This study offers some general implications for industrial policy to level up regional disparities

    What's work got to do with it? How precarity influences radical party support in France and the Netherlands

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    The rising support for radical parties in Europe has triggered a new interest in the political sociology of voting and how voters with socio-economic insecurity are moving away from establishment politics. In this article, we apply Standing’s concept of ‘precarity’ to capture insecurity among ordinary voters and thereby expand the individual socio-economic explanations behind the vote for radical populist right (RPR) and radical left (RL) parties. We develop a multidimensional measure of precarity to capture subjective labour market insecurity in its different manifestations. The article examines the influence of precarity on voting in two countries – France and the Netherlands – that, in the 2017 elections, saw the culmination of a decline in support for establishment parties and a rise in support for both RPR and RL parties. We use panels of voters collected during these elections through online Voting Advice Applications, weighted against national census benchmarks. We identify and assess the role of two dimensions of precarity: ‘precarity of tenure’ and ‘precarity at work’. We find that in both France and the Netherlands precarity is, overall, negatively correlated with voting for established parties and positively correlated with voting for RPR and RL parties. Furthermore, our investigation shows that ‘precarity at work’ is more significant in explaining voting support than the more widely investigated ‘precarity of tenure’. Our results stress the importance of assessing how subjective work insecurity explains voting and support for RPR and RL parties

    Does the Complementarity Principle apply to inner speech? A mixed-methods study on multilingual Chinese university students in the UK

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    This paper investigates how inner speech in English as a foreign language (LX) and Chinese first languages (L1s) of 425 multilingual Chinese university students in the UK is affected by their stay. An eight-item scale was developed to cover two different discourse domains for inner speech, namely the academic and the general domain. LX socialization was operationalized as frequency of English use in daily life, sociocultural adaptation, previous immersion, and length of stay. Factor analysis of the quantitative data combined with participants’ reports show that English inner speech develops gradually in the academic domain and general domain, suggesting that the Complementarity Principle applies to inner speech as much as articulated speech (Grosjean, Bilingual: Life and reality. Harvard University Press, 2012). Frequency of academic English inner speech is linked to higher level of LX socialization, namely frequent use of English in daily life, a higher level of sociocultural adaptation, and having had previous immersion. However, sociocultural adaptation had no effect on the frequency of general English inner speec

    A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0

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    We present a new approach for macromolecular structure determination from multiple particles in electron cryo-tomography (cryo-ET) data sets. Whereas existing subtomogram averaging approaches are based on 3D data models, we propose to optimise a regularised likelihood target that approximates a function of the 2D experimental images. In addition, analogous to Bayesian polishing and contrast transfer function (CTF) refinement in single-particle analysis, we describe the approaches that exploit the increased signal-to-noise ratio in the averaged structure to optimise tilt-series alignments, beam-induced motions of the particles throughout the tilt-series acquisition, defoci of the individual particles, as well as higher-order optical aberrations of the microscope. Implementation of our approaches in the open-source software package RELION aims to facilitate their general use, particularly for those researchers who are already familiar with its single-particle analysis tools. We illustrate for three applications that our approaches allow structure determination from cryo-ET data to resolutions sufficient for de novo atomic modelling

    Wearside Jack - a lethal hoax

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    Interview contribution to Sunderland Echo documentary about Wearside Jac

    Editorial: Low carbon economy and health in the context of carbon neutrality

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