Online polarization and cross-fertilization in multi-cleavage societies: the case of Spain.

The impact of the social media (SM) has been seen on the one hand as the cause of large exacerbation of negative messages, responsible for massively harmful societal phenomenon against democracies. On the other hand, recent studies have begun to look at how these online channels were able to provide a new impulse in human communication. The novelty of our work resides on analysing several axes of polarizations related to different societal topics. We believe our approach to reflect a more complex society, differing from the recent literature, which has considered a unique left-right dichotomic cleavage. Our methodology consists of extracting topics from the priority themes of the SM debate, using BERT language processing techniques and TF-IDF model. Our results show situation of social media interactions in a multidimensional space does exist. We highlight how social media behaviours, polarization and cross-fertilization differ as upon concrete topics. We argue therefore the 'mega-identity partisanship' which differentiate US online users in two different spaces cannot be extended for the rest of countries taking as first evidence the case of Spain. Further research should extend our conclusions for a possible generalization.

Data on the sustainability profile and food waste management in primary and secondary schools: The case of the Catalonia region in Spain.

This paper presents data from a survey administered to 548 public and private school headteachers in Catalonia (Spain) in 2018 on sustainability practices and food waste management. Raw data were collected through a standardised and structured questionnaire (For more information refer to Building and managing sustainable schools: The case of food waste [1]). The variables of the dataset include items relative to the canteen management system, the school sustainability profile and perceptions on food waste generation and management. Additionally, data on the level of implementation and interest on a wide range of potential initiatives to fight against food waste are provided within this article. School-level attributes (e.g. size, infrastructure) are also included.

Data maturity analysis and business performance. A Colombian case study.

CONTEXT: Colombia over the last decade has experienced a historic economic boom and Information Technology (IT) has been emerging as a tool to enable the competitiveness of companies. The last government (2014-2018) took different actions to explain how the use of data science and open data improve the business activity. The question to identify if there is a relationship between IT capacities, the organizational structure and the performance of the companies remains unresolved and is certainly an urgent issue for new government of Iván Duque. PURPOSE: Our study analyses the relationship between data structure and business performance measured through the efficiency of customer experience and provider operations processes. METHODOLOGY: our methodology is novel compared to previous researches which develop linear regression. It is based on the use of a fuzzy-set qualitative comparative analysis (fsQCA). ORIGINALITY/VALUE: our method allows to reveal multiple and complementary paths to achieve possible correlations between data and business performance. FINDINGS: Our results show that data consistency, data usage and data protection are the three more frequent conditions to a better customer experience and provider operations efficiency. Surprisingly, data-driven profile is a necessary but not sufficient condition. PRACTICAL IMPLICATIONS: our conclusions allow practitioners to uncover the strength of the data to orientate their digital strategy. Our recommendations could be used for the new governmental program of digital revival for Small and Medium Enterprises.