Subtopic Deep Dive

Digital Marketing
Research Guide

What is Digital Marketing?

Digital Marketing applies internet technologies, data analytics, and online platforms to promote products, engage consumers, and drive business growth in digital ecosystems.

Research examines consumer behavior in online spaces, effectiveness of SEO and social media strategies, and analytics for advertising personalization. Key studies model digital advertising impacts using structural equation modeling (Medrano and Muñoz-Navarro, 2017, 126 citations) and information systems' role in organizational results (Ábrego-Almazán et al., 2017, 103 citations). Over 10 papers from provided lists address e-business adoption and digital tools in business contexts.

Curated Papers

Key Challenges

Why It Matters

Digital marketing enables data-driven decisions in online commerce, as seen in AI applications generating massive data volumes for targeted advertising (Jiménez Pastor, 2021, 253 citations). It supports e-business adoption by small firms in emerging markets (Zilber and de Araújo, 2012, 32 citations) and VAT collection on e-commerce via digital toolkits (Inter American Development Bank and World Bank, 2022, 68 citations). These practices shape global value chains and SME competitiveness (Sturgeon, 2010, 166 citations).

Key Research Challenges

Measuring Advertising Effectiveness

Quantifying ROI from digital campaigns remains difficult amid vast data flows. Studies use structural equation models to link IS to results but face causality issues (Ábrego-Almazán et al., 2017). Personalization algorithms require robust consumer behavior models (Jiménez Pastor, 2021).

E-Business Adoption by SMEs

Small firms lag in adopting digital tools due to resource constraints. Research highlights internet-based HR consulting viability but notes implementation barriers (Vega Artavia, 1969, 136 citations). E-commerce acceptance models identify key antecedents in emerging markets (Tavera Mesías et al., 2011).

Data Analytics Scalability

Handling real-time data from tweets, emails, and transactions challenges analytics. AI-driven business intelligence processes high-velocity data but demands scalable models (Jiménez Pastor, 2021). Sustainability maturity models incorporate data analytics for MSMEs yet face evaluation hurdles (Vásquez et al., 2021).

Essential Papers

Business Artificial Intelligence

Ana Jiménez Pastor · 2021 · Fundació Parc Científic Universitat de València eBooks · 253 citations

Our entertainment and shopping media, smartphones and other devices all generate data. In 2021, just one minute on the internet accounted for 200,000 tweets, two million views on Twitch, 197 millio...

De Cadenas De Mercancías (Commodities) A Cadenas De Valor: Construcciones Teóricas En Una Época De Globalización.

Thimoty J. Sturgeon · 2010 · Eutopía - Revista de Desarrollo Económico Territorial · 166 citations

Este artículo sitúa, elabora y busca profundizar una explicación sobre la teoría de gobernanza de las cadenas de valor globales (CDV) desarrollada por Gereffi, Humphrey y Sturgeon (2005). La teoría...

Desarrollo de estados de la cuestión robustos: Revisiones Sistemáticas de Literatura

Francisco José García‐Peñalvo · 2022 · Education in the Knowledge Society (EKS) · 164 citations

La revisión sistemática de literatura es un método sistemático para identificar, evaluar e interpretar el trabajo de académicos y profesionales en un campo elegido. Su propósito es identificar lagu...

Adaptive pathways and coupled infrastructure: seven centuries of adaptation to water risk and the production of vulnerability in Mexico City

Beth Tellman, Julia C. Bausch, Hallie Eakin et al. · 2018 · Ecology and Society · 141 citations

Infrastructure development is central to the processes that abate and produce vulnerabilities in cities. Urban actors, especially those with power and authority, perceive and interpret vulnerabilit...

ASESORÍAS INNOVADORAS EN RECURSOS HUMANOS PARA LAS PYMES MEDIANTE EL USO DE LA RED DE INTERNET

NYDIA ISABEL VEGA ARTAVIA · 1969 · Revista Nacional de Administración · 136 citations

Este estudio examina la viabilidad de la implementación de una empresa de consultoría en recursos humanos que ofrezca sus servicios por medio del aprovechamiento de las TIC que ofrece Internet. La ...

APROXIMACIÓN CONCEPTUAL Y PRÁCTICA A LOS MODELOS DE ECUACIONES ESTRUCTURALES

Leonardo Adrián Medrano, Roger Muñoz‐Navarro · 2017 · Revista Digital de Investigación en Docencia Universitaria · 126 citations

En el presente trabajo se expone una aproximación conceptual y práctica a los Modelos de Ecuaciones Estructurales o Structural Equation Modeling (SEM). Los SEM están considerados entre las herramie...

Influence of information systems on organizational results

Demian Ábrego-Almazán, Yesenia Sánchez Tovar, José Melchor Medina Quintero · 2017 · Contaduría y Administración · 103 citations

In recent years, information systems (IS) comprise one of the main ﬁelds of study in business organization, caused by the need to identify their business value. Therefore, in this research and base...

Reading Guide

Foundational Papers

Start with Sturgeon (2010, 166 citations) for global value chain governance in digital contexts; Vega Artavia (1969, 136 citations) on early internet business services; Tavera Mesías et al. (2011, 31 citations) for e-commerce acceptance models.

Recent Advances

Jiménez Pastor (2021, 253 citations) on AI in business data; Inter American Development Bank (2022, 68 citations) on VAT digital toolkits; Vásquez et al. (2021, 102 citations) on MSME analytics maturity.

Core Methods

Structural equation modeling (Medrano and Muñoz-Navarro, 2017); information systems impact models (Ábrego-Almazán et al., 2017); systematic literature reviews (García-Peñalvo, 2022).

How PapersFlow Helps You Research Digital Marketing

Discover & Search

Research Agent uses searchPapers and exaSearch to find core papers like 'Business Artificial Intelligence' by Jiménez Pastor (2021), then citationGraph reveals connections to Sturgeon (2010) on value chains, while findSimilarPapers uncovers e-business adoption studies.

Analyze & Verify

Analysis Agent applies readPaperContent to extract SEM models from Medrano and Muñoz-Navarro (2017), verifies causal claims with verifyResponse (CoVe), and runs PythonAnalysis with pandas for statistical validation of IS impact data from Ábrego-Almazán et al. (2017), graded via GRADE for evidence strength.

Synthesize & Write

Synthesis Agent detects gaps in SME digital adoption literature, flags contradictions between early e-commerce studies and recent AI papers, then Writing Agent uses latexEditText, latexSyncCitations for Sturgeon (2010), and latexCompile to produce polished reports with exportMermaid diagrams of marketing funnels.

Use Cases

"Analyze ROI data from digital marketing papers using Python"

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas/matplotlib on Ábrego-Almazán et al. 2017 datasets) → researcher gets plotted regression models and statistical outputs.

"Draft a LaTeX review on e-business adoption barriers"

Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (Zilber 2012, Tavera 2011) + latexCompile → researcher gets compiled PDF with cited sections and figures.

"Find GitHub repos linked to digital analytics papers"

Research Agent → Code Discovery (paperExtractUrls → paperFindGithubRepo → githubRepoInspect on Jiménez Pastor 2021) → researcher gets inspected code for AI marketing tools and implementation examples.

Automated Workflows

Deep Research workflow conducts systematic reviews of 50+ digital marketing papers, chaining searchPapers → citationGraph → structured reports on adoption trends. DeepScan applies 7-step analysis with CoVe checkpoints to verify e-commerce models from Tavera Mesías et al. (2011). Theorizer generates hypotheses on AI-driven personalization from Jiménez Pastor (2021) and Sturgeon (2010).

Try Doxa for Digital Marketing Research

Frequently Asked Questions

What defines digital marketing?

Digital marketing uses online platforms, data analytics, and AI for promotion and consumer engagement, as modeled in business AI studies (Jiménez Pastor, 2021).

What methods dominate research?

Structural equation modeling (SEM) analyzes causal links in digital strategies (Medrano and Muñoz-Navarro, 2017); information systems models assess organizational impacts (Ábrego-Almazán et al., 2017).

What are key papers?

Top cited: Jiménez Pastor (2021, 253 citations) on business AI; Sturgeon (2010, 166 citations) on value chains; Vega Artavia (1969, 136 citations) on internet HR consulting.

What open problems exist?

Challenges include SME e-business adoption barriers (Zilber and de Araújo, 2012), scalable analytics for real-time data (Jiménez Pastor, 2021), and VAT enforcement in e-commerce (Inter American Development Bank, 2022).