Sourcing Validated Scale References for Questionnaire Items - Information Systems/Tech Adoption (AI)

Overview I am a PhD researcher studying the adoption of agentic AI. My research model includes 17 constructs measured through a questionnaire of approximately 90 items. I need an experienced academic researcher to identify the correct validated scale sources or theoretical grounding for each item and complete a sourcing table that will appear in my methodology chapter. Background and Context At an early stage of my research, questionnaire items were generated using ChatGPT without my awareness that items should be adopted or adapted from previously validated scales or established theoretical frameworks. This is a standard requirement in quantitative Information Systems research — items must be traceable to prior validated instruments or recognized theoretical sources to establish measurement credibility. I have since learned this requirement and now need expert help to properly source each item retroactively. The items are already written and the data has already been collected. The task is purely about identifying the correct academic sources for each item — not rewriting the items. What I Need I will provide you with a sourcing table containing all 17 constructs and their items. For each item, you must: Identify the most appropriate validated scale or theoretical framework the item can be traced to Provide the full and verifiable citation (authors, year, title, journal, volume, pages or DOI) Verify that the cited paper actually contains items similar to the one being sourced — do not suggest citations you cannot confirm Indicate whether the item is adopted, adapted, derived from, or developed based on the cited source Add a brief note explaining the connection where the match is not direct (e.g., when adapting from a non-AI context to an AI context) Research Domain Information Systems (IS) Technology and AI Adoption Theoretical frameworks involved: Theory of Planned Behavior (TPB), Behavioral Reasoning Theory (BRT), AI characteristics and ethics literature Constructs include: Agentic AI Self-Efficacy, Ethical Awareness, Trust in Agentic AI, Subjective Norms, Perceived Behavioral Control, Anthropomorphism, Perceived Safety, Perceived Intelligence, Fairness, Accountability, Transparency, Autonomy, Reasons For, Reasons Against, Values, Attitudes, and Use of Agentic AI. Critical Requirement Citation accuracy is the most important aspect of this job. I have already experienced significant problems with AI tools hallucinating references — suggesting citations that do not exist or do not contain the claimed items. You must only provide citations you have personally verified by accessing the paper. If a validated scale does not exist for a particular item, say so clearly and suggest the most appropriate theoretical framework source instead. Deliverable A completed sourcing table in Word or Excel format containing all constructs, item codes, item wordings, verified citations, and adaptation notes — ready to be included in a PhD methodology chapter. Ideal Candidate Strong background in quantitative IS or social science research Familiar with technology adoption literature (TAM, UTAUT, TPB, BRT) Familiar with AI ethics and human-AI interaction literature Experience with scale development, construct operationalization, or systematic literature review Access to academic databases (Google Scholar, Scopus, or institutional library access) Detail-oriented and academically rigorous — this is PhD-level work Additional Notes Please include in your proposal a brief description of your experience with quantitative IS research and scale sourcing specifically. Generic proposals will not be considered.