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An AI-Collaborative Framework for DBA Research
An AI-Collaborative Framework for DBA Research
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This book closes the critical gap between advanced AI technologies and the practical research needed to drive sustainable development. It offers a systematic methodology for business leaders and practice-oriented scholars to harness generative AI as a strategic research partner, enabling them to address complex sustainability challenges with academic rigor.Readers will discover innovative frameworks such as the P-A-Q model, designed to transform ambiguous business problems into researchable sus…

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This book closes the critical gap between advanced AI technologies and the practical research needed to drive sustainable development. It offers a systematic methodology for business leaders and practice-oriented scholars to harness generative AI as a strategic research partner, enabling them to address complex sustainability challenges with academic rigor.

Readers will discover innovative frameworks such as the P-A-Q model, designed to transform ambiguous business problems into researchable sustainability questions. The book fosters interdisciplinary collaboration by guiding researchers to connect practical insights with established theories. A strong emphasis is placed on the ethical use of AI, providing a clear compass for transparency, accountability, and responsible knowledge creation.

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This book closes the critical gap between advanced AI technologies and the practical research needed to drive sustainable development. It offers a systematic methodology for business leaders and practice-oriented scholars to harness generative AI as a strategic research partner, enabling them to address complex sustainability challenges with academic rigor.

Readers will discover innovative frameworks such as the P-A-Q model, designed to transform ambiguous business problems into researchable sustainability questions. The book fosters interdisciplinary collaboration by guiding researchers to connect practical insights with established theories. A strong emphasis is placed on the ethical use of AI, providing a clear compass for transparency, accountability, and responsible knowledge creation.

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