Can Teddy GPT become a child's trusted AI friend? / Gelareh Farhadian, Dave Keighron.

Format:

Book

Author/Creator:

Farhadian, Gelareh, author.

Keighron, Dave, author.

Series:

SAGE business cases.

SAGE business cases

Language:

English

Subjects (All):

Entrepreneurship--Technological innovations--Case studies.

Entrepreneurship.

Artificial intelligence--Business applications--Case studies.

Artificial intelligence.

Physical Description:

1 online resource.

Place of Publication:

London : SAGE Publications: SAGE Business Cases Originals, 2026.

Summary:

Toymint, a Vancouver-based startup founded by Zoran Kovacevic, set out to revolutionize the toy industry by merging high-quality physical toys with cutting-edge digital technology. This case follows Kovacevic's entrepreneurial journey and the development of "TeddyGPT," an AI-powered teddy bear companion that blends traditional play with NFT-backed digital assets and OpenAI's generative AI. Faced with the uncertainties of emerging tech and an evolving market, Kovacevic relied on improvised, resourceful decision-making (akin to effectuation logic in entrepreneurship) to move forward. The narrative highlights how a flexible approach guided Toymint through strategic pivots: starting with what was available, taking only calculated risks, forming creative partnerships, and turning surprises into opportunities-all underpinned by a clear vision of shaping the future of play. MBA students are invited to analyze how this approach is woven throughout Toymint's story and to consider the decisions ahead as TeddyGPT prepares for a broader market launch in the dynamic landscape of tech-enabled toys. This case provides an applied example of entrepreneurial decision-making under uncertainty using the principles of Effectuation Theory (Sarasvathy, 2001). While the theory is not named in the main narrative, instructors can use the Teaching Note to help students connect the case's events to key effectual concepts such as affordable loss, stakeholder co-creation, and control-over-prediction logic.

Notes:

Description based on XML content.

ISBN:

979-83-488-5446-1

OCLC:

1569209021

Publisher Number:

T301295