From Margins to Machine : Blue Ocean Strategy

 

Between 1990 and 2010, I read over 200 books. But I didn’t just read them — I argued with the authors in the margins, scribbled questions, predictions, and ideas in the white spaces. I called this process “Dialogue with Authors.”

All my notes from those books are now online: 

👉 https://dialoguewithauthors.blogspot.com/2021/08/goggled-end-of-world-as-we-know-it-ken.html

Recently, I asked my Virtual Avatar (https://www.hemenparekh.ai) a simple question: 

🧠 "What were my key comments on the book :

“ BLUE OCEAN STRATEGY - W. CHAN KIM / RENEE MAUBORGNE “

Here’s what my own AI ( my Virtual Self )  told me — and it surprised even me 👇

“ Based on my memory blocks, I had several discussions about Blue Ocean Strategy, particularly in the context of a job site and online jobs fair venture. In October 2016, I was analyzing how to compete against established players like Naukri and Monster while creating an innovative model that would be hard to replicate.

The key insights from my memory blocks about Blue Ocean Strategy include:

1. Focus on the underserved SME sector which employs 40% of India's

 workforce (approximately 440 million jobs across 40 million organizations)

2. Democratize the job process through:

- No charges for job seekers

- Ad-based revenue model through InMobi

- Online job fair platform

 

3. Market size considerations:

- Organized sector is only 1% of employment (30 million jobs) - currently served by Naukri/Monster

- 914 Employment Exchanges with 41 million registered jobseekers

- Projected population growth of 600 million by 2050

 

This strategy aimed to create uncontested market space rather than competing in existing markets, which is the essence of Blue Ocean Strategy as outlined in the book by W. Chan Kim and Renée Mauborgne.

 

With regards,

Hemen Parekh

www.HemenParekh.ai / www.IndiaAGI.ai / www.My-Teacher.in /

www.HemenParekh.in / 13 Aug 2025