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Peer-reviewed study says AIIR coaching changes executive behavior

Jul. 31, 2026
By AI, Created 20:19 UTC, Jul 31, 2026, AGP -

A peer-reviewed study of 686 executives found that coaching through AIIR Consulting’s AIIR Method produced measurable changes in leadership behavior, team engagement and business outcomes. The findings, published in the European Journal of Training and Development, matter because companies spend heavily on coaching but often struggle to prove impact.

Why it matters: - Companies spend billions on executive coaching and leadership development, but proving that coaching changes performance remains a major challenge. - The study suggests AIIR Consulting’s coaching model can produce observable behavior change that shows up in teams, colleagues and organizational outcomes. - The findings add peer-reviewed evidence to a market that often relies on anecdote and self-reporting.

What happened: - A peer-reviewed study in the European Journal of Training and Development examined 1,130 open-ended responses from 686 executives. - The executives came from more than 300 global organizations, predominantly Fortune 500 companies. - Every coaching engagement in the study used AIIR Consulting’s AIIR Method, a four-phase process built around Assessment, Insight, Implementation and Reinforcement. - The coaching was delivered by 158 coaches across North America, EMEA, Asia-Pacific and Latin America. - The study was co-authored by AIIR Consulting Founder and CEO Dr. Jonathan Kirschner and Prof. Nicky Terblanche of Stellenbosch Business School.

The details: - Team leadership ranked as the top area where executives said coaching helped their leadership. - Executives most often reported gains in team leadership, communication, people development and executive presence. - Team leadership accounted for 24.2% of responses, including better managing, delegating, engaging and leading teams. - Communication accounted for 16.4% of responses, centered on clearer communication and stronger influence with stakeholders. - People development accounted for 16.0% of responses, including mentoring, growth and empowerment of others. - Executive presence accounted for 15.7% of responses, including greater confidence and visible leadership authority. - When asked what feedback they received from colleagues, executives most often cited team engagement at 27.4%, executive presence at 17.5% and communication at 13.8%. - The study linked those external perceptions to coaching-driven behavioral change that was visible across organizations. - Executives also reported organizational gains in business outcomes, culture and operational performance. - The article, "Executive Leaders’ Perspectives on the Impact of Executive Coaching on their Leadership Development," is published open access under CC BY 4.0 in Vol. 50 No. 10, pages 127–145. - The paper is available free through the DOI link.

Between the lines: - The strongest signal in the data is not just that executives felt better about their own leadership. - Colleagues reported similar changes, which suggests the coaching translated into behaviors others could see and experience. - Team leadership emerged as the main pathway for that visibility, implying that coaching may matter most when it changes how leaders run day-to-day operations. - Dr. Kirschner said the research validates the AIIR Method as a way to bring psychological rigor to executive coaching.

What's next: - AIIR Consulting is likely to use the study as evidence for buyers evaluating coaching programs and leadership development investments. - The open-access publication makes the findings easier for organizations, coaches and researchers to review and cite. - The study may also raise expectations for measurable outcomes in an industry that is increasingly asked to prove return on investment.

The bottom line: - The study gives AIIR Consulting peer-reviewed support for a coaching model that executives say changes how they lead and how their organizations perform.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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