Treat GenAI like an employee: a conceptual framework for the use of GenAI in small business

Purpose This study aims to develop a practical and ethical framework and guidelines for small businesses to overcome several barriers to the adoption and use of generative artificial intelligence (GenAI) by small business. The use of GenAI offers positive benefits for social impact through well-being if managed ethically. Design/methodology/approach A conceptual approach was used that integrates two theoretical and practice-based frameworks; the passive–interactive–proactive (PIP) framework and code of ethics for professional accountants and professional standards. Findings The authors propose treating GenAI like a human, and in doing so, they offer a new conceptual framework; the ethical AI, smarter small business framework. They also develop a set of onboarding guidelines for getting started with GenAI to train the tool. Practical implications This framework and onboarding process can encourage small businesses to take small steps in using GenAI to build confidence and competence. By humanising the technology as an employee, small businesses can draw on familiar employee scripts to leverage the strengths of GenAI. This research can create a positive social impact for small-business owners. Originality/value This research provides the first set of guidelines for small businesses to adopt and use GenAI in an ethical and responsible manner through humanising the technology as an employee. In doing so, this research identifies three levels of engagement with the technology and extends the PIP framework from consumer contexts to business contexts. This type of initiative is new in the AI literature embracing ethical and responsible use of GenAI.

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Publication Details

Journal
Journal of Social Impact in Business Research
Published
2025-12-24
DOI
https://doi.org/10.1108/jsibr-05-2025-0069
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Treat GenAI like an employee: a conceptual framework for the use of GenAI in small business

Habib Zaman Khan, Gregory Christopher Borchard
Journal of Social Impact in Business Research
Ethics and Social Impacts of AI
article

Treat GenAI like an employee: a conceptual framework for the use of GenAI in small business

Habib Zaman Khan, Gregory Christopher Borchard
article en

Abstract

Purpose This study aims to develop a practical and ethical framework and guidelines for small businesses to overcome several barriers to the adoption and use of generative artificial intelligence (GenAI) by small business. The use of GenAI offers positive benefits for social impact through well-being if managed ethically. Design/methodology/approach A conceptual approach was used that integrates two theoretical and practice-based frameworks; the passive–interactive–proactive (PIP) framework and code of ethics for professional accountants and professional standards. Findings The authors propose treating GenAI like a human, and in doing so, they offer a new conceptual framework; the ethical AI, smarter small business framework. They also develop a set of onboarding guidelines for getting started with GenAI to train the tool. Practical implications This framework and onboarding process can encourage small businesses to take small steps in using GenAI to build confidence and competence. By humanising the technology as an employee, small businesses can draw on familiar employee scripts to leverage the strengths of GenAI. This research can create a positive social impact for small-business owners. Originality/value This research provides the first set of guidelines for small businesses to adopt and use GenAI in an ethical and responsible manner through humanising the technology as an employee. In doing so, this research identifies three levels of engagement with the technology and extends the PIP framework from consumer contexts to business contexts. This type of initiative is new in the AI literature embracing ethical and responsible use of GenAI.

Journal of Social Impact in Business ResearchVol. 2(3)
University of Canberra (AU)
Openalex Percentile: Top 15%
Ethics and Social Impacts of AI
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