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    Data-driven strategies in operation management: mining user-generated content in Twitter
    (Springer, 2022-06-10) Saura, Jose Ramon; Ribeiro-Soriano, Domingo; Palacios-Marqués, Daniel
    In recent years, the business ecosystem has focused on understanding new ways of automating, collecting, and analyzing data in order to improve products and business models. These actions allow operations management to improve prediction, value creation, optimization, and automatization. In this study, we develop a novel methodology based on data-mining techniques and apply it to identify insights regarding the characteristics of new business models in operations management. The data analyzed in the present study are user-generated content from Twitter. The results are validated using the methods based on Computer-Aided Text Analysis. Specifically, a sentimental analysis with TextBlob on which experiments are performed using vector classifier, multinomial naïve Bayes, logistic regression, and random forest classifier is used. Then, a Latent Dirichlet Allocation is applied to separate the sample into topics based on sentiments to calculate keyness and p-value. Finally, these results are analyzed with a textual analysis developed in Python. Based on the results, we identify 8 topics, of which 5 are positive (Automation, Data, Forecasting, Mobile accessibility and Employee experiences), 1 topic is negative (Intelligence Security), and 2 topics are neutral (Operational CRM, Digital teams). The paper concludes with a discussion of the main characteristics of the business models in the OM sector that use DDI. In addition, we formulate 26 research questions to be explored in future studies.
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    From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets
    (Elsevier, 2021-02-19) Saura, Jose Ramon; Ribeiro-Soriano, Domingo; Palacios-Marqués, Daniel
    In recent years, strategies focused on data-driven innovation (DDI) have led to the emergence and development of new products and business models in the digital market. However, these advances have given rise to the development of sophisticated strategies for data management, predicting user behavior, or analyzing their actions. Accordingly, the large-scale analysis of user-generated data (UGD) has led to the emergence of user privacy concerns about how companies manage user data. Although there are some studies on data security, privacy protection, and data-driven strategies, a systematic review on the subject that would focus on both UGD and DDI as main concepts is lacking. Therefore, the present study aims to provide a comprehensive understanding of the main challenges related to user privacy that affect DDI. The methodology used in the present study unfolds in the following three phases; (i) a systematic literature review (SLR); (ii) in-depth interviews framed in the perspectives of UGD and DDI on user privacy concerns, and finally, (iii) topic-modeling using a Latent Dirichlet allocation (LDA) model to extract insights related to the object of study. Based on the results, we identify 14 topics related to the study of DDI and UGD strategies. In addition, 14 future research questions and 7 research propositions are presented that should be consider for the study of UGD, DDI and user privacy in digital markets. The paper concludes with an important discussion regarding the role of user privacy in DDI in digital markets.
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    Perception of Information and Disinformation on Social Media. Daily Access and Age of Adolescents and Young People as Predictive Factors
    (Ludovika-HU, 0026-04-20) Catalina-García, Beatriz; García Jiménez, Antonio; Montes Vozmediano, Manuel; Ministerio de Ciencia, Innovación y Universidades (MCIN/AEI/10.13039/501100011033) y con el apoyo de «FEDER, una forma de construir Europa».
    Social media currently plays a key role for adolescents and young people in accessing information. The integration of these platforms into their media diet leads them to build their own digital architecture to stay informed and to avoid disinformation. Based on academic literature and a survey (n = 1,800), this study analyses the perceptions of Spanish young people and adolescents (aged 14 to 24) regarding various characteristics of social media in relation to information and disinformation. Our findings reveal that daily access to social media is a good predictor regarding propositions related to information, whereas age is generally a slightly better indicator for those related to disinformation. These results provide deeper insight into the components that influence adolescents and young people, helping to better understand how they shape their own media repertoires.
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    Within-individual leaf trait variation increases with phenotypic integration in a subtropical tree diversity experiment
    (Wiley, 2023-09-14) Castro Sánchez-Bermejo P; Davrinche A; Matesanz García, Silvia; Harpole WS; Haider S
    Covariation of plant functional traits, that is, phenotypic integration, might constrain their variability. This was observed for inter- and intraspecific variation, but there is no evidence of a relationship between phenotypic integration and the functional variation within single plants (within-individual trait variation; WTV), which could be key to understand the extent of WTV in contexts like plant-plant interactions. We studied the relationship between WTV and phenotypic integration in c. 500 trees of 21 species in planted forest patches varying in species richness in subtropical China. Using visible and near-infrared spectroscopy (Vis-NIRS), we measured nine leaf morphological and chemical traits. For each tree, we assessed metrics of single and multitrait variation to assess WTV, and we used plant trait network properties based on trait correlations to quantify phenotypic integration. Against expectations, strong phenotypic integration within a tree led to greater variation across leaves. Not only this was true for single traits, but also the dispersion in a tree's multitrait hypervolume was positively associated with tree's phenotypic integration. Surprisingly, we only detected weak influence of the surrounding tree-species diversity on these relationships. Our study suggests that integrated phenotypes allow the variability of leaf phenotypes within the organism and supports that phenotypic integration prevents maladaptive variation.© 2023 The Authors. New Phytologist © 2023 New Phytologist Foundation.