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A Grassroots Initiative to Bridge Practice, Education, and Research.

Fall 2023 Issue Is Now Available

Product Management Risks in the AI Landscape

Fall 2023 Issue Latest Articles

From Pledge to Practice: Delivering Corporate Net-Zero Emissions

Daniel C. Esty, Yale School of the Environment and Yale Law School Alyssa M. Menz, Yale School of the Environment Corporate executives must struggle with a...

The Fourth Channel: Automatic Home Replenishment and Its Implications for Supply Chain Cost and Customer Convenience

Stanley Frederick W. T. Lim, Eli Broad College of Business, Michigan State University David F. Pyke, Knauss School of Business, University of San Diego Stanley Lim...

How Modern Tech Companies Differ from the Twentieth Century’s Industrial Giants

Vijay Govindarajan, Dartmouth College Anup Srivastava, University of Calgary Vijay Govindarajan and Anup Srivastava describe six factors that differentiate today’s corporate technology giants from those of...

Contents at a Glance

Product Management in the AI Landscape: Lessons from IBM Tarun Chopra The author shares what IBM’s product managers have learned in seeking to responsibly use generative...

Executive Summaries

Product Management in the AI Landscape: Lessons from IBM Tarun Chopra | IBM Data and AI Business leaders are scrambling to adopt generative AI, applying it...

Product Management in the AI Landscape: Lessons from IBM

Tarun ChopraIBM Data and AI Tarun Chopra shares what IBM’s product managers have learned in seeking to responsibly use generative AI to improve the quality...

Special Winter/Spring Issue 2023 Articles

Developing a Trustworthy AI Rating System and Its Impact on Customer Engagement

Jennifer ShkabaturReichman University Alex MintzReichman University Customers who trust products and services engage more, which improves their experience and satisfaction. AI tools now shape many customer...

AI for Customer Engagement at Google

Google’s Customer Engagement Leadership Team: Tim Frank Qiushuang Zhang Aastha Gaur Ravi Narasimhan Abheek Gupta Roman Karachinsky Doris Neubauer Sandeep Beri Ian Suttle Shashi Upadhyay Leo Cheng Tony Li Natalie Mason Vicky Ge Google had...

The Mastercard Digital Engineâ„¢: Using AI to Spot Micro Trends for Effective Customer Engagement

Raja RajamannarMastercard Introductory NoteRaja Rajamannar, chief marketing and communications officer of Mastercard, describes the dwindling of consumer attention and explains how marketers can follow Mastercard’s...

The Leader’s Strategic Mindset: A Key Factor for AI Success

Pernille RydénIT University of Copenhagen Torsten RingbergCopenhagen Business School Omar A. El SawyMarshall School of Business,University of Southern California Businesses are increasingly using artificial intelligence (AI) to...

Singapore’s Hospital to Home Program: Raising Patient Engagement Through AI

John AbisheganadenNational Healthcare Group Kheng Hock LeeSingHealth Group Lian Leng LowSingHealth Group Eugene ShumSingHealth Group Han Leong GohIntegrated Health Information Systems Christine Gia Lee AngIntegrated Health Information Systems Andy Wee...

Mars’ ACE: Using AI and Behavioral Data in Ad Testing with High Correlating Sales

Laurent LarguinatMars, Inc. Laurent Larguinat describes Mars’ ACE, a proprietary AI tool which analyzes large sets of consumer behavioral data to predict the sales effectiveness...

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The goal of MBR is to publish papers that improve the practice of management. We seek business scholars’ work that translates academic research into practical insights for managers. We seek managers’ perspectives which will inspire conversation and research. We encourage the educational use of MBR articles by permitting degree programs to use them without paying royalty. We hope that by bridging management practice, research, and education MBR will empower all three, forging closer bonds between us..

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