Role of digital marketing in driving business performance in emerging markets: an analytical framework
Natasha Patricia Bojorges Moctezuma and
Prof Rajagopal
International Journal of Business Forecasting and Marketing Intelligence, 2016, vol. 2, issue 4, 291-314
Abstract:
Existing research on digital marketing has mainly focused on social media. However, internet evolution brings particular challenges that must be faced. In order to explore new business opportunities, it becomes increasingly important to develop new conceptual models on the availability and adoption of digital marketing strategies to a more sophisticated application. This paper views the adoption of digital marketing strategies as a holistic process which encompasses motivational, emotional, and cognitive factors underlying the implementation of digital marketing strategies. To achieve research purposes it is presented a conceptual model to understand the attributes of digital marketing in building market competitiveness in Mexico. This paper discusses the Technology Acceptance Model (TAM), the Theory of Reasoned Action (TRA) and the Diffusion of Innovations Theory as the base to develop the research model and analyses the unique business dynamics of the current digital environment in emerging markets. The paper concludes with a discussion on its conceptual contributions, conclusions and interesting directions for future research.
Keywords: marketing strategy; digital marketing; online marketing; business performance; marketing models; electronic marketing; e-marketing; business models; SMEs; small and medium-sized enterprises; emerging markets; TAM; technology acceptance model; theory of reasoned action; TRA; diffusion of innovations theory; motivation; emotion; cognition; business dynamics. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=80127 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbfmi:v:2:y:2016:i:4:p:291-314
Access Statistics for this article
More articles in International Journal of Business Forecasting and Marketing Intelligence from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().