student research user risk: medium
Blockchain-ERP Fraud Detection Research Article Generator
Create a research article using Design Science Research Methodology on the topic of integrating Blockchain and ERP systems to detect accounting financial fraud.
- Policy sensitive
- Human review
PROMPT
To Create research article using Design Science Research Methodology about topic: "Integrating Blockchain and ERP System to detect accounting financial fraud"
EXPECTED OUTPUT
- Format
- markdown
SUCCESS CRITERIA
- Create a research article
- Use Design Science Research Methodology
- Topic: Integrating Blockchain and ERP System to detect accounting financial fraud
FAILURE MODES
- Vague instructions may lead to unstructured or incomplete article
- Lack of DSRM details may result in improper methodology application
- No length or depth specified, risking superficial content
CAVEATS
- Missing context
-
- Article length or word count.
- Target audience (e.g., academic journal).
- Required sections (e.g., artifact design, evaluation).
- Reference requirements (e.g., number, style).
- Output format (e.g., Markdown, Word).
- Ambiguities
-
- Awkward phrasing 'To Create' unclear if imperative or title.
- Does not define expected structure for Design Science Research Methodology article.
QUALITY
- OVERALL
- 0.40
- CLARITY
- 0.70
- SPECIFICITY
- 0.30
- REUSABILITY
- 0.20
- COMPLETENESS
- 0.30
IMPROVEMENT SUGGESTIONS
- Rephrase to 'Write a research article using Design Science Research Methodology on the topic: {topic}' for clarity and reusability.
- Specify structure: 'Include sections: Abstract, Introduction, Literature Review, Problem Identification, Artifact Design, Demonstration, Evaluation, Discussion, Conclusion.'
- Add constraints: 'Aim for 4000-6000 words, cite at least 20 peer-reviewed sources, use APA style.'
- Define output: 'Format as Markdown with headings.'
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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