Marketing
Consumer behaviour, brand equity, digital marketing, e-WOM and customer loyalty.
Management examiners want to see three things: a gap drawn from current literature, a model grounded in theory, and measurement that is reliable and valid.
Much management research in India uses survey data, and much of it struggles at the same points — a conceptual model with no theoretical anchor, adapted scales without validation, and SEM output reported without the checks reviewers expect.
We help you find a defensible gap from recent Scopus and ABDC-listed literature, build a conceptual framework on established theories such as TAM, UTAUT, TPB, RBV or social exchange theory, and design a questionnaire from validated scales.
From measurement model to structural model, we make sure reliability, convergent and discriminant validity, common-method bias and model fit are all reported properly — and that the implications section actually speaks to managers.
Each area is handled by someone who reads that literature — so your review looks current and your methods look informed.
Consumer behaviour, brand equity, digital marketing, e-WOM and customer loyalty.
Engagement, retention, HR analytics, work-life balance and training effectiveness.
Leadership, culture, commitment, stress and organisational citizenship behaviour.
Capital markets, portfolio performance, corporate finance, behavioural finance and ratios.
Financial reporting quality, IFRS/Ind AS, CSR disclosure and forensic accounting.
NPAs, digital banking adoption, financial inclusion and insurance penetration.
Lean practices, logistics performance, inventory models and SCM integration.
Start-up ecosystems, MSMEs, women entrepreneurship and innovation.
Growth, inflation, trade, agricultural economics and public finance.
Competitive advantage, dynamic capabilities, M&A and corporate governance.
Destination image, service quality, guest satisfaction and revisit intention.
Self-help groups, cooperatives, farmer producer organisations and rural markets.
Every technique is chosen for your objectives and documented, so you can explain it in your methodology chapter and your viva.
We prefer the version licensed at your university, so every file opens on your own system.
Illustrative titles to show the range of work we support. Your topic is shaped around your own interest, data and university requirements.
Sharpen the research problem, objectives and a gap your examiners will accept.
Recent indexed sources organised into themes, with the gap stated clearly.
Design, sampling, tools and techniques matched to your objectives.
The right methods run properly, with every assumption checked.
Chapters refined, referenced and formatted to your university style.
Paper preparation, journal selection and viva-readiness sessions.
You receive editable files and a written trail of every decision, so nothing in your thesis is a black box.
| Deliverable | What it contains |
|---|---|
| Literature matrix | Structured review table with the gap clearly stated |
| Conceptual model | Framework diagram with hypotheses and theory base |
| Questionnaire | Validated-scale instrument with source table |
| Analysis report | Measurement and structural model results |
| Tables & figures | APA-style tables and path diagrams |
| Implications brief | Managerial, policy and theoretical contributions |
Yes — we shortlist topics based on current literature, data availability and your interest, and explain the gap each one addresses.
It means your model must rest on an established theory that explains why the variables are related. We help you choose and justify the right theory.
Yes. PLS-SEM is widely accepted in management journals when properly justified and reported. We help you write that justification.
Yes — we work with data from sources such as CMIE Prowess, RBI, NSE, BSE and annual reports for ratio, panel and event-study analysis.
Yes. We support interview-guide design, transcription coding and thematic analysis for qualitative and mixed-method studies.
Send your topic, your dataset or one draft chapter. We will tell you honestly what it needs — before you pay anything. The first consultation is free.
Engineering & Simulation
Statistics & Data Science
Life & Health Sciences
Physical Sciences
Computing & AI
Law & Policy
Education & Psychology
Environment & Earth Sciences