Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
|
| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.14894792 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866901273057427456 |
|---|---|
| author | Pirro, Nicholas |
| author_facet | Pirro, Nicholas |
| contents | <p>While AI/ML technologies promise transformative potential, small and medium-sized businesses <br>(SMBs) often struggle to secure internal buy-in due to skepticism about the tangible benefits. This <br>paper explores strategies for crafting a compelling business case, emphasizing ROI quantification, <br>cost reduction, and revenue expansion. It further highlights real-world examples and the <br>importance of aligning AI initiatives with business objectives. <br>Overcoming Skepticism: Why the Business Case Matters <br>SMBs often operate with limited resources, making it imperative to justify every investment. <br>Leadership teams may perceive AI as an abstract concept, disconnected from immediate business <br>needs (Westerman et al., 2014). Without a clear business case, adoption efforts often stall, leaving <br>SMBs at risk of falling behind more tech-savvy competitors (Pyrrhic Press, 2024).</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14894792 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Accelerating Adoption: Building the Business Case for AI Integration in SMBs Pirro, Nicholas AI integration, SMBs, artificial intelligence, machine learning, business case, ROI quantification, cost reduction, revenue expansion, small and medium-sized businesses, AI adoption, business objectives, operational efficiency, pilot programs, workforce empowerment, customer service, inventory management, customer support chatbot, administrative workload, transcription tools, stockouts reduction, fraud detection, CRM systems, customer retention, growth acceleration, strategic goals, financial returns, risk mitigation, personalized marketing, AI-driven inventory, natural language processing, SMB competitiveness, technology adoption, AI skepticism, leadership buy-in, AI implementation, business transformation, automation, digital future, AI-powered tools, AI success stories, SMB growth, AI pilot projects, customer behavior analysis, AI-enabled decision-making, SMB technology investment, AI-driven innovation, AI impact on workforce, AI solutions, AI-driven business growth, SMB tech-savvy competitors, AI operational benefits. <p>While AI/ML technologies promise transformative potential, small and medium-sized businesses <br>(SMBs) often struggle to secure internal buy-in due to skepticism about the tangible benefits. This <br>paper explores strategies for crafting a compelling business case, emphasizing ROI quantification, <br>cost reduction, and revenue expansion. It further highlights real-world examples and the <br>importance of aligning AI initiatives with business objectives. <br>Overcoming Skepticism: Why the Business Case Matters <br>SMBs often operate with limited resources, making it imperative to justify every investment. <br>Leadership teams may perceive AI as an abstract concept, disconnected from immediate business <br>needs (Westerman et al., 2014). Without a clear business case, adoption efforts often stall, leaving <br>SMBs at risk of falling behind more tech-savvy competitors (Pyrrhic Press, 2024).</p> |
| title | Accelerating Adoption: Building the Business Case for AI Integration in SMBs |
| topic | AI integration, SMBs, artificial intelligence, machine learning, business case, ROI quantification, cost reduction, revenue expansion, small and medium-sized businesses, AI adoption, business objectives, operational efficiency, pilot programs, workforce empowerment, customer service, inventory management, customer support chatbot, administrative workload, transcription tools, stockouts reduction, fraud detection, CRM systems, customer retention, growth acceleration, strategic goals, financial returns, risk mitigation, personalized marketing, AI-driven inventory, natural language processing, SMB competitiveness, technology adoption, AI skepticism, leadership buy-in, AI implementation, business transformation, automation, digital future, AI-powered tools, AI success stories, SMB growth, AI pilot projects, customer behavior analysis, AI-enabled decision-making, SMB technology investment, AI-driven innovation, AI impact on workforce, AI solutions, AI-driven business growth, SMB tech-savvy competitors, AI operational benefits. |
| url | https://doi.org/10.5281/zenodo.14894792 |