Research Paper Structure Using TPB or DOI Model

 

1️⃣ Title of the Study (Example Topics)

📌 For TPB:
"Behavioral Intentions Toward Stock Market Investment Among Young Investors: A TPB Approach."

📌 For DOI:
"Diffusion of Digital Payments in Rural Jharkhand: A DOI-Based Study."

2️⃣ Research Objectives

✅ For TPB:

  • To analyze the role of attitude, social norms, and perceived behavioral control in influencing stock market investments.
  • To examine how demographics (age, income, education) moderate investment behavior.

✅ For DOI:

  • To identify the stages of digital payment adoption among users in rural India.
  • To assess how factors like awareness, trust, and government initiatives impact fintech adoption.

3️⃣ Literature Review

  • Review studies using TPB for investment behavior, mutual funds, stock markets, and insurance.
  • Discuss research on DOI in financial inclusion, digital banking, and fintech adoption in India.

📌 Use sources from Scopus, SSRN, Emerald, Google Scholar, and RBI reports.

4️⃣ Conceptual Framework

✅ For TPB:

  • Independent Variables: Attitude (ATB), Subjective Norms (SN), Perceived Behavioral Control (PBC)
  • Dependent Variable: Behavioral Intention (BI) to invest in financial markets

✅ For DOI:

  • Identify respondents as Innovators, Early Adopters, Early Majority, Late Majority, or Laggards.
  • Measure awareness, perceived risk, ease of access, and external influence.

📌 Visualize the model using SmartPLS or AMOS.

5️⃣ Research Methodology

  • Research Design: Quantitative survey-based
  • Sample Size: 300–500 respondents
  • Sampling Technique: Stratified random sampling
  • Data Collection: Google Forms, field surveys, online responses
  • Analysis Tools: SPSS, AMOS, SmartPLS for hypothesis testing

6️⃣ Hypothesis Development (Example)

📌 For TPB:
H1: Attitude toward investing positively influences investment intention.
H2: Social norms impact financial decision-making.
H3: Perceived ease of investment influences participation.

📌 For DOI:
H1: Early adopters influence mass fintech adoption.
H2: Trust in technology impacts the speed of diffusion.
H3: Demographics influence the adoption category (innovators vs. laggards).

7️⃣ Data Analysis & Interpretation

  • Descriptive statistics (age, income, digital literacy)
  • Factor analysis & reliability testing
  • Regression/SEM analysis to test hypotheses

📌 Use SPSS for regression or SmartPLS for structural equation modeling.

8️⃣ Conclusion & Implications

  • For TPB: Suggest ways to improve financial literacy, risk perception, and market participation.
  • For DOI: Recommend strategies for faster fintech adoption in rural India (government policies, awareness campaigns, infrastructure).

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