Sarah  Cheah Author of Evaluating Organization Development
FEATURED AUTHOR

Sarah Cheah

Assoc Professor
National University of Singapore

Dr Sarah Cheah is Associate Professor with the NUS Business School, with research and practice in business model innovation, corporate entrepreneurship and early-stage technology development and commercialization. She has lectured in Entrepreneurship, Management of Technological Innovation, Business Analytics and Strategic Foresight. She has led consulting practicum and research studies on innovation with business federations, chambers of commerce and multi-national corporations

Biography

Dr Sarah Cheah is Associate Professor with the NUS Business School, with research and practice in business model innovation, corporate entrepreneurship and early-stage technology development and commercialization. She has lectured in Entrepreneurship, Management of Technological Innovation and Business Analytics. She has led consulting practicum and research studies on innovation with business federations, chambers of commerce and multi-national corporations (MNC). Dr Cheah is advisor to the Singapore Institute of Technology Lean Transformation Innovation Centre, and was consultant for National Robotics R&D Program Office and venture capital firm. She has provided executive training for corporations and public policymakers from Singapore, Indonesia, Vietnam and China.

Education

    PhD, MBA, B.Eng.

Areas of Research / Professional Expertise

    Innovation, Entrepreneurship, Strategic Foresight, Technology Management

Personal Interests

    Running, swimming

Books

Featured Title
 Featured Title - Social Innovation: Cheah - 1st Edition book cover

Articles

Journal of Chinese Economic and Foreign Trade Studies

Big data-driven business model innovation by traditional industries in the Chinese economy


Published: Oct 02, 2017 by Journal of Chinese Economic and Foreign Trade Studies
Authors: Sarah Cheah, Shenghui Wang
Subjects: Business, Management and Accounting

This study aims to construct mechanisms of big data-driven business model innovation from the market, strategic and economic perspectives and core logic of business model innovation. Extant studies of big data and business model innovation remain disparate. By adding a new dimension of intellectual and economic resource to the resource-based view, this paper posits an important link between big data and business model innovation.

Innovation

Framework for measuring research and innovation impact


Published: Jul 26, 2016 by Innovation
Authors: sarah cheah
Subjects: Business, Management and Accounting

This paper aims to review the extant literature of university/public research institute impact studies, discuss the current metrics and their issues, as well as propose new secondary indicators to estimate the economic impact of public-funded technological innovation at the firm, industry and national levels, using the concept of Realised Imputed Commercial Value (RICV).

Triple Helix

Assessing economic impact of research and innovation originating from public research institutions and universities—case of Singapore PRIs


Published: Apr 13, 2016 by Triple Helix
Authors: Cheah Sarah, Christopher Yu
Subjects: Business, Management and Accounting

This paper aims to consolidate all parts of the proverbial elephants by reviewing the extant literature for university impact studies, analysing and synthesising the erstwhile disparate studies, discussing the current metrics and their issues and identifying gaps among the different research strands.