Antonio Carlos Cuenca Ballester

Antonio Carlos Cuenca Ballester is an Associate Professor at the Universitat de València, affiliated with the Faculty of Economics and the Department of Marketing and Market Research. He is an active member of two research groups: DIGIMK.COM (Digital Marketing and Communications) and InnSpace (Innovation, i-Space, and Entrepreneurship), reflecting his engagement in contemporary marketing and innovation research.

His primary research interests include marketing strategy, digital marketing, consumer behavior, pricing, and innovation. His academic work bridges theoretical and applied aspects of marketing, with a particular focus on intangible attributes influencing pricing decisions and modern digital communication strategies. These interests are aligned with current trends in data-driven marketing and entrepreneurial ecosystems.

Although no recent publications are listed in the provided text, his research group affiliations suggest ongoing contributions to the fields of digital marketing and innovation. His work likely involves interdisciplinary collaboration, especially within the context of digital transformation and entrepreneurial development.

Scientific Awards:

• No awards listed in the provided information.

Advising and Grants:
He completed his doctoral studies under the supervision of Dr. Salvador Miquel Peris, with a thesis titled "La influencia de los atributos intangibles en la variable precio" (1995). While no current advisees or grants are mentioned, his role as a Titular de Universidad implies prior or ongoing mentorship of graduate students and potential involvement in funded research projects through his research groups.

Labs and Research Teams:
He is actively involved in two research groups: DIGIMK.COM – Digital Marketing and Communications and InnSpace – Innovation, i-Space, and Entrepreneurship. These groups serve as collaborative hubs for research in digital marketing strategies, innovation management, and entrepreneurial development, indicating a strong team-based research approach.