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Ana Castillo

Researcher at University of Granada

Publications -  9
Citations -  818

Ana Castillo is an academic researcher from University of Granada. The author has contributed to research in topics: Social media & Business value. The author has an hindex of 4, co-authored 9 publications receiving 288 citations.

Papers
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How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research

TL;DR: This paper explains how to perform and report empirical analyses using PLS-PM including the latest enhancements, and illustrates its application with a fictive example on business value of social media.
Journal ArticleDOI

How corporate social responsibility activities influence employer reputation: The role of social media capability

TL;DR: In this paper, the authors analyzed the relation between the firm's corporate social responsibility (CSR) activities, employer reputation, and social media in the academic conversation on business value of technology.
Posted Content

How corporate social responsibility activities influence employer reputation: The role of social media capability

TL;DR: It is argued theoretically and demonstrated empirically that leveraging a technology such as social media generates business value through maximization of the positive impact of CSR activities on employer reputation of the firm.
Journal ArticleDOI

Social media-driven customer engagement and movie performance: Theory and empirical evidence

TL;DR: In this paper, the authors examined the relationship between pre-consumption customer engagement driven by social media (i.e., personal and interactive engagement) and movie performance and movie box office revenue.
Proceedings Article

Development and update of guidelines to perform and report partial least squares path modeling in Information Systems research

TL;DR: A constructive and illustrative example on a model on business value of social media in companies using data simulated for 300 observations to explain the latest contributions in PLS path modeling is provided.