ARBS 2026: AI Research Takeaways for Appalachian Business

A regional research symposium with practical AI signals

Appalachian State University’s Walker College of Business hosted the 2026 Appalachian Research in Business Symposium (ARBS) on its Boone, NC campus April 16-17. ARBS is a six-school regional conference — App State, Eastern Kentucky University, East Tennessee State, Marshall, Radford, and Western Carolina — where faculty and graduate students share research grounded in Appalachian business realities.

Most of the audience was academics, but the program is worth paying attention to if you run a small business in the region. The research presented here tends to land in regional industries first — workforce, manufacturing, tourism, healthcare — because the schools involved sit inside those economies.

The headline this year: AI workforce readiness moved from buzzword to applied research, and the regional connections strengthened across all six schools.

What was presented

The two-day program covered artificial intelligence, data analytics, accounting, finance, marketing, management, and regional economic issues. Participants came from MBA, Applied Data Analytics (MSADA), Industrial-Organizational Psychology and Human Resource Management (IOHRM), and Walker College Honors programs.

The session most relevant to small business owners was “Integrating AI for Scalable Workforce Readiness,” presented by App State’s IOHRM team — Brenna McNamara, Claire Parson, Dr. Shawn Bergman, Jamie Da Costa, and Ella Drawbridge. The IOHRM group has been publishing research on AI in HR contexts for several years and brings a rare combination: deep AI literacy paired with field experience in mid-sized regional employers.

Other presentations covered regional economic development, supply chain analytics, and small business marketing — all flavored with Appalachian-specific data rather than generic Fortune 500 case studies.

Why this matters for Appalachian businesses

National AI research often skips over the realities of running a 12-person service business in Boone, Bluefield, or Beckley. The labor pool is different. Internet reliability is different. Customer expectations are different. ARBS research is built on those realities.

Three signals from this year’s program are worth pulling out:

First, “workforce readiness” is the right framing for SMB AI adoption. The IOHRM team’s work focuses less on whether AI will replace jobs and more on how to prepare workers — including older workers in legacy industries — to use AI tools productively. That maps directly to the staffing conversations small business owners are already having: “How do I get my front desk person comfortable with the new booking software?” Researchers are asking the same question with more rigor.

Second, regional collaboration is accelerating. Six schools across four states sharing data and methods means the research that comes out is more transferable. A study on manufacturing automation in West Virginia is more likely to apply to a similar shop in eastern Kentucky than a McKinsey report would.

Third, applied research is still the gap. Most academic AI research is published, presented, and shelved. Conferences like ARBS try to push it toward application, but the bridge from peer-reviewed paper to “thing my plumbing company can use Tuesday” is still long. That gap is where consulting and product companies fit in.

Five takeaways small business owners should act on

You do not need to attend ARBS to benefit from what was presented. The takeaways:

Treat AI rollout as a workforce-readiness program, not a tech project. The research consistently finds that adoption fails when training is treated as optional. Block calendar time for your team to learn the tool. Pair newer staff with older staff during the rollout.
Tap into regional university research. Most of these schools have small business outreach arms — App State’s Walker College, Marshall’s Lewis College of Business, ETSU’s College of Business and Technology. Their faculty often consult or supervise capstone projects with local employers for free or near-free.
Watch the IOHRM space. Industrial-Organizational psychology research is consistently the most useful academic stream for small employers because it focuses on how people actually behave at work, not on aspirational management theory.
Build a “what would we automate” list before you shop tools. ARBS presenters repeatedly noted that businesses succeed with AI when they pick a specific, high-volume task to automate first — phone intake, scheduling, review responses, basic data entry — instead of trying to “use AI” as a general goal. Pick one painful task, fix it, then move to the next.
Document your workflow before you automate it. Several presentations highlighted that automation magnifies whatever process already exists. If your current intake process is messy, an AI agent will just produce mess faster. Spend 30 minutes writing down the current steps before you replace them.

What we are watching

ARBS research often previews what becomes commercial product 18-24 months later. The trends we will be tracking:

Workforce-readiness curricula designed for small employers, not just enterprise HR departments. Several presenters hinted at toolkits in development.
Regional supply chain AI built around the specific logistics challenges of mountain communities — narrow roads, weather disruption, smaller order volumes.
Healthcare AI applications suited to rural clinics and community health centers, where Marshall and ETSU both have strong programs.

The full proceedings will publish later this year, joining the public 2025 proceedings hosted by Marshall University. Reading the proceedings is one of the best ways to see what regional researchers think matters — and where the next applied opportunities are likely to land.

Where this fits in the bigger AI conversation

National headlines are dominated by frontier model releases — DeepSeek V4, GPT-5, the latest Claude — and the narrative often treats AI adoption as something happening at coastal tech companies. ARBS is a useful counterweight. It is the same technology, applied by researchers who live in the same towns as the businesses they are studying.

That regional grounding shows up in other Appalachian research efforts, too — from NCInnovation’s commercialization push to Marshall University’s manufacturing programs. The research is here. The faculty are accessible. The gap is in the bridge from paper to product.

That bridge is what we work on at Appalach.AI. If you want help translating regional AI research into something your business can actually use this quarter, get in touch — we work with small businesses across the region on this exact problem. Or explore our AI Employees for the productized version of what these researchers are studying.