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Research Agenda

My research examines consumer decision-making in complex, multi-channel marketing environments. I investigate how consumers integrate information across touchpoints, how marketers can causally identify channel effectiveness, and how cultural factors shape these processes in emerging markets.

Research Streams

Research Questions:

  • • How do consumers integrate information across digital touchpoints?
  • • What psychological mechanisms drive multi-touch attribution model performance?
  • • How can marketers causally identify channel effectiveness in observational data?

Methodological Approach:

Causal inference, attribution modeling, experimental design, machine learning

Research Portfolio

Complete research experience spanning qualitative, quantitative, and mixed methods across healthcare, consumer behavior, and emerging market studies.

Qualitative Thematic Analysis: Non-Conventional Uterotonics in Maternal Healthcare Systems

University of LagosApril 2025

QualitativeCompleted - Thematic Analysis Phase

Manually extracted themes from interviews and imported data into NVivo for analyses with two-quote validation. Study reveals herbal medicine use during childbirth with unclear dosing causes heavy bleeding and infections.

Key Findings

  • Herbal medicine use during childbirth identified as prevalent practice
  • Unclear dosing protocols documented across respondents

Methodology

Thematic Analysis, NVivo, Manual Theme Extraction

Respondents: Multiple interviews with two-quote validation

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Thematic Analysis – Election Observation Study

University of LagosApril 2025

QualitativeCompleted - Analysis Phase

Cleaned transcripts from six states, coded them using NVivo, and analyzed with three-respondent validation. Findings revealed a significant gap between election observer recommendations and actual reforms.

Key Findings

  • Significant gap identified between observer recommendations and actual policy reforms
  • Multi-state comparative insights on institutional processes

Methodology

Thematic Analysis, NVivo Coding, Multi-state Comparative Analysis

Respondents: 6 states with three-respondent validation

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Research Study on Factors Propelling Device Reusage

University of LagosOctober 2024

QualitativeCompleted

Conducted a qualitative study per PLOS guidelines. Transcribed 40 semi-structured interviews, applied a coding framework, and analyzed data using NVivo.

Key Findings

  • Cultural schemas and institutional norms significantly influence reuse decisions
  • Financial constraints identified as critical enabling factor

Methodology

Semi-Structured Interviews, NVivo Coding Framework, PLOS Guidelines Adherence

Respondents: 40 semi-structured interviews

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Undergraduate Thesis: Medical Devices Reusage in Dual Locations

University of LagosJuly 2023 - August 2024

Mixed MethodsCompleted & Published

Recorded and analyzed 50 respondents using NVivo after 60-day ethical approval from local hospitals. Thesis revealed cultural, financial, trust factors affect device reuse.

Key Findings

  • Cultural schemas and institutional norms shape reuse decision-making
  • Financial constraints emerge as primary enabling factor for device reusage

Methodology

Mixed Methods, NVivo Analysis, Ethical Approval Process (60 days)

Respondents: 50 respondents across dual healthcare locations

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Faculty-Assigned Statistical Analysis: Youth Drug Abuse Determinants Study

University of LagosJuly 2023

QuantitativeCompleted

Created univariate frequency tables with analytical synopses for 200 respondents. Pearson correlation showed significant relationships between peer influence, family background, socio-economic status, and drug abuse (all p < 0.05).

Key Findings

  • Peer influence: Significant predictor of drug abuse patterns (p < 0.05)
  • Family background: Significant association with abuse risk

Methodology

Pearson Correlation, Univariate Frequency Analysis, SPSS Statistical Package

Respondents: 200 respondents across demographic variables

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Evaluation of Prostate Cancer Screening Study's Statistics Section

University of LagosJune 2023

QuantitativeCompleted

Supervised a Master's student's thesis statistical analysis on prostate cancer screening among 147 respondents. Chi-square results showed three statistically significant factors.

Key Findings

  • Demographics: χ²(2)=13.325 (p < 0.05) - significant association
  • Facility Availability: χ²(2)=10.7736 (p < 0.05) - critical infrastructure factor

Methodology

Chi-Square Analysis, Statistical Supervision, Hypothesis Testing

Respondents: 147 respondents

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Research Study Training in Junior Year

University of LagosMay 2023

QuantitativeCompleted

Designed questionnaires and collected field data across seven faculties with a 10-man team. Performed statistical analysis on 551 respondents using chi-square tests in SPSS.

Key Findings

  • No significant associations found between social factors and risky sexual behaviors (p > 0.05)
  • Null findings suggest complex, multi-factorial nature of health behaviors

Methodology

Chi-Square Analysis, SPSS, Questionnaire Design, Multi-team Coordination

Respondents: 551 respondents across seven university faculties

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Mobile Payment Adoption and Digital Marketing Performance: Role of Trust and Risk

Independent Research StudyWork in Progress - Expected Completion: 2025

QuantitativePrimary Data Collection Phase

Collecting primary data from youths across Nigeria on payment system selection and digital marketing actions. Plan to use regression analysis to identify key adoption drivers.

Key Findings

  • Research in active data collection phase
  • Preliminary insights on youth payment system preferences emerging

Methodology

Regression Analysis (Planned), Primary Data Collection, Digital Marketing Integration

Respondents: Youths across Nigeria (data collection in progress)

View Study Details
8

Research Projects

3

Qualitative Studies

4

Quantitative Studies

994+

Total Respondents

Methodological Expertise

Causal Inference

DID, RDD, propensity scores, IV, synthetic control, mediation/moderation analysis

Attribution & Analytics

Multi-touch attribution (Markov, Shapley), MMM, CLV modeling, A/B testing, algorithmic attribution, counterfactual analysis

Quantitative Methods

OLS/logistic/Poisson, multilevel models, SEM, Bayesian inference, time series, experimental design

Qualitative Methods

In-depth interviews, thematic analysis, grounded theory, NVivo, mixed methods integration