From Problem Framing to Implementation Strategy:A Consultancy Case Study of Generative AI Agents in Blueledger Accounting & Tax Services Using KPI-Based Value Measurement

Chapter 3: Research Methodology

This chapter must clearly explain the research design and approach, ensuring full alignment with the research proposal.

3.1 Research Design

• Define the study as a single-case consultancy study.
• Justify the use of the case study approach (e.g., Yin, 2018).
• Explain why this design is appropriate based on the research objectives and the identified research gap in the literature review.

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3.2 Research Approach

• Describe the study as a mixed-method approach:
  • Qualitative: stakeholder interviews, process analysis
  • Quantitative: KPI-based evaluation
• Emphasize that the research is consultancy-driven, not survey-based.
• Link this approach to the need for practical and organization-specific insights, as identified in the literature review.

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3.3 Case Study Context

• Present Blueledger Accounting & Tax Services (anonymized) as the focal case.
• Explain the relevance of the accounting and tax services industry.
• Justify the case selection based on the research objectives and problem statement.

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3.4 Data Collection Methods

The data collection must follow the structure defined in the research proposal and include:

• Stakeholder interviews (semi-structured)
• Process documentation analysis (workflows, SOPs, internal practices)
• KPI and operational data (baseline performance indicators)

Clarify that:

• Data are firm-specific, not based on surveys.
• The study relies on contextual and consultancy-based data.
• Some data may be indicative or estimated, due to the exploratory nature of the project.

---

3.5 Data Analysis Methods

• Apply thematic analysis for qualitative data (e.g., Braun & Clarke, 2006).
• Use KPI comparison (baseline vs target) for quantitative evaluation.
• Explain how the analysis supports decision-making and value measurement.

---

3.6 Consultancy Framework

• Present the six-phase consultancy model from the research proposal:
  1. Discovery & Problem Framing
  2. Use Case Identification & Prioritization
  3. Solution Design
  4. Implementation Strategy
  5. Measurement & Evaluation (KPI-based)
  6. Governance & Risk Management
• Explain how this framework structures the entire research and implementation logic.

---

3.7 KPI Framework

• Define the three KPI dimensions:
  • Efficiency
  • Quality/Compliance
  • User Adoption
• Link the KPI framework to the research gap identified in the literature review.
• Explain how KPIs are used to measure business value.

---

3.8 Ethical Considerations

• Data protection (GDPR context)
• Confidentiality (anonymized company)
• Human-in-the-loop approach
• Professional accountability

---

3.9 Limitations of the Methodology

• Single-case design limitations
• Use of indicative data
• Lack of full real-world implementation

From Problem Framing to Implementation Strategy:A Consultancy Case Study of Generative AI Agents in Blueledger Accounting & Tax Services Using KPI-Based Value Measurement

1. Chapter 3: Research Methodology

This chapter must clearly explain the research design and approach, ensuring full alignment with the research proposal.

3.1 Research Design

• Define the study as a single-case consultancy study.
• Justify the use of the case study approach (e.g., Yin, 2018).
• Explain why this design is appropriate based on the research objectives and the identified research gap in the literature review.

---

3.2 Research Approach

• Describe the study as a mixed-method approach:
  • Qualitative: stakeholder interviews, process analysis
  • Quantitative: KPI-based evaluation
• Emphasize that the research is consultancy-driven, not survey-based.
• Link this approach to the need for practical and organization-specific insights, as identified in the literature review.

---

3.3 Case Study Context

• Present Blueledger Accounting & Tax Services (anonymized) as the focal case.
• Explain the relevance of the accounting and tax services industry.
• Justify the case selection based on the research objectives and problem statement.

---

3.4 Data Collection Methods

The data collection must follow the structure defined in the research proposal and include:

• Stakeholder interviews (semi-structured)
• Process documentation analysis (workflows, SOPs, internal practices)
• KPI and operational data (baseline performance indicators)

Clarify that:

• Data are firm-specific, not based on surveys.
• The study relies on contextual and consultancy-based data.
• Some data may be indicative or estimated, due to the exploratory nature of the project.

---

3.5 Data Analysis Methods

• Apply thematic analysis for qualitative data (e.g., Braun & Clarke, 2006).
• Use KPI comparison (baseline vs target) for quantitative evaluation.
• Explain how the analysis supports decision-making and value measurement.

---

3.6 Consultancy Framework

• Present the six-phase consultancy model from the research proposal:
  1. Discovery & Problem Framing
  2. Use Case Identification & Prioritization
  3. Solution Design
  4. Implementation Strategy
  5. Measurement & Evaluation (KPI-based)
  6. Governance & Risk Management
• Explain how this framework structures the entire research and implementation logic.

---

3.7 KPI Framework

• Define the three KPI dimensions:
  • Efficiency
  • Quality/Compliance
  • User Adoption
• Link the KPI framework to the research gap identified in the literature review.
• Explain how KPIs are used to measure business value.

---

3.8 Ethical Considerations

• Data protection (GDPR context)
• Confidentiality (anonymized company)
• Human-in-the-loop approach
• Professional accountability

---

3.9 Limitations of the Methodology

• Single-case design limitations
• Use of indicative data
• Lack of full real-world implementation

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