Sociotechnical Approach to Enterprise Generative Artificial Intelligence (E-GenAI)

TL;DR

This paper presents a sociotechnical framework for integrating generative AI into enterprise ecosystems, emphasizing alignment among various business platforms and modeling social media user dynamics with finite automata.

Contribution

It introduces a novel sociotechnical approach to characterize and align enterprise AI platforms, integrating LLMs and social media user modeling within a unified framework.

Findings

Proposes a comprehensive sociotechnical model for enterprise GAI ecosystems.

Integrates LLMs with business platforms using the E-GenAI (OID) model.

Uses finite automata to model social media user interactions.

Abstract

In this theoretical article, a sociotechnical approach is proposed to characterize. First, the business ecosystem, focusing on the relationships among Providers, Enterprise, and Customers through SCM, ERP, and CRM platforms to align: (1) Business Intelligence (BI), Fuzzy Logic (FL), and TRIZ (Theory of Inventive Problem Solving), through the OID model, and (2) Knowledge Management (KM) and Imperfect Knowledge Management (IKM), through the OIDK model. Second, the article explores the E-GenAI business ecosystem, which integrates GenAI-based platforms for SCM, ERP, and CRM with GenAI-based platforms for BI, FL, TRIZ, KM, and IKM, to align Large Language Models (LLMs) through the E-GenAI (OID) model. Finally, to understand the dynamics of LLMs, we utilize finite automata to model the relationships between Followers and Followees. This facilitates the construction of LLMs that can identify specific characteristics of users on a social media platform.