Percorrer por autor "Casado-Molina, Ana-María"
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- Banking reputation and its impact on stock markets: a big data analysis through online commentsPublication . Casado-Molina, Ana-María; Rojas-de-Gracia, María-Mercedes; Alarcón-Urbistondo, Pilar; Ramos, CeliaPurpose Given the substantial number of social conversations on the Internet, companies must remain vigilant about protecting their reputations and businesses. The purpose of this research is to measure the impact on share prices of reputational variables, measured through online comments, at the banking sector level as well as patterns of behavior between these variables and fluctuations in share rices. Design/methodology/approach Using big data and business intelligence techniques, bank reputation was analyzed through online social comments. The sample includes seven Spanish banks. To measure the impact of reputational variables on share prices, an Online Reputation Index was created. These variables were then correlated and filtered with the share price variation rate of each bank on a daily basis under two scenarios: using all share price data and also focusing on times of sharp fluctuations. Finally, multiple linear regression analysis was used to identify patterns in these relationships. Findings The findings reveal that negative comments focusing on attitude, emotions and governance experiences - particularly regarding ethical performance - are the only reputational variables with a clear impact on share price fluctuations in the banking sector. Strong correlations between reputation variables and share prices were observed only when online comments were extremely negative. These behaviors were more frequent during periods of significant price fluctuations. Originality/value This is the first study to analyze the impact of the reputation of the banking sector measured in the online environment on share price, taking into account its multidimensional construct.
- Managing relational capital for the sustainability of the energy sector in the social mediaPublication . Casado-Molina, Ana-María; Ramos, Celia; Cabrera, FranciscoVarious management models have been proposed for intangible business assets in this new digital era. However, these models do not consider the relationships between intangible assets in business management, or their effect. This work has two main objectives: first, to show the effect of intangi-ble assets as expressed in digital media related to energy brands; second, to demonstrate the rela-tionships between the emotions, experiences and attitudes of the audiences. To do so, a novel model of intangibles is proposed and applied to the energy sector using IBEX 35 data. In this sce-nario, we determine that users' experiences extracted from digital environments have significant relationships with one of the most important intangibles in the energy business, namely emotion.
- Reputational intelligence: innovating brand management through social media dataPublication . Casado-Molina, Ana-María; Ramos, Celia; Rojas-de-Gracia, Maria-Mercedes; Pelaez Sanchez, Jose IgnacioPurpose Companies are currently facing the challenge of understanding how their business is affected by the large volume of opinions continually generated by their stakeholders in social media regarding their intangible assets (experiences, emotions and attitudes). With this in mind, the purpose of this paper is to present an innovative management model, named E2AB, to measure and analyse reputational intangibles from digital ecosystems and their impacts on tangible assets. Design/methodology/approach The methodology applied was big data and business intelligence techniques. These methods were used in the computing process to obtain daily data from every asset guarantees that the model is validated with robust data. This model has been corroborated using data from the banking sector, specifically 402,383 net data inputs from the digital ecosystems. Findings This study illustrates the existence of a holistic influence of intangible assets over tangible assets. The findings demonstrate complex relationships between tangible and intangible assets, determined not only by the type of variable but also by its valence and intensity. Originality/value It is a pioneering work in establishing a model, which demonstrates transversal and holistic relationships between relational intangible and tangible assets of firms from digital ecosystems, using business intelligence techniques.