February 7, 2026

Innovation Management - MIT Course and Other Lectures



Innovation Management


First Week  (5 Days)

1. Managing Innovation - Course Outline - MIT Course Ware

2. Technology Driven Dynamics - MIT Course Ware

3. Competitive Implications of Technology - MIT Course Ware

4. Innovation Systems - MIT Course Ware

5. Transforming Invention into Innovation - MIT Course Ware

Second Week

6. Organizing Innovation Teams - MIT Course Ware

7. Incentives to Innovators- MIT Course Ware

8. Collaborating with the community - MIT Course Ware

9. Incentives to External Collaborators  - MIT Course Ware

10. Collaboration with Academia - MIT Course Ware

11. Understanding the Market for Commercializing - MIT Course Ware

12. -New Rules of Innovation

_____________

_____________

13. - Reverse Innovation - Vijay Govind Rajan

_____________

_____________

14. -Disruptive Innovation - Clayton Christensen

___________

___________

15. - Creating an Innovation Mindset

__________

__________

16. - How to Lead Innovation through Implementation
Standford Online

__________

__________

17. - Innovation for Informatics Ventures
___________

___________

18. - The Process of Innovation

___________

___________

19. - Innovation at Proctor and Gamble

___________

___________

20. - Andreas "Andy" Bechtolsheim

More than 30 years ago as a Stanford graduate student, Andreas "Andy" Bechtolsheim designed a simple but powerful computer workstation that would help define the modern technology era and launch Sun Microsystems. He's since founded three more startups, including cloud-networking company Arista Networks, where he is now chairman. His investing foresight is legendary. Not only was he the first major backer for Google, but he's also been an early-stage investor in VMware, Brocade and others. Bechtolsheim discusses the process of innovation and describe its importance to Silicon Valley.

___________

___________

21. An Overview of the General Theory of Innovation
By Greg Yezersky
http://www.triz-journal.com/archives/2008/04/06/

22 Consumer Drive Innovation at Electrolux
A Presentation
http://www.ieadsm.org/Files/Exco%20File%20Library/Workshop,%20Stockholm%20October%202010/Electrolux%20innovation%20process.pdf

23. Gaining Actionable Insight to Increase Innovation
A Research-based Executive Brief
2012, Coveo
http://coveosc.coveo.com/~/media/Files/WhitePapers/Gaining-Actionable-Insight-to-Increase-Innovation.ashx


More related from MIT

https://ocw.mit.edu/courses/24-263-the-nature-of-creativity-fall-2005/

https://ocw.mit.edu/courses/esd-051j-engineering-innovation-and-design-fall-2012/

https://ocw.mit.edu/courses/15-351-managing-the-innovation-process-fall-2002/

https://ocw.mit.edu/courses/15-769-operations-strategy-fall-2010/

https://ocw.mit.edu/courses/2-96-management-in-engineering-fall-2012/



Ud/ 7.1.2026
Pub. 6.6.2014

Innovation on the Production Line - Process innovations - Role of Operations - Paul Trott - Chapter Summary

2025 India National Productivity Week - 12 - 18 February Theme - From Ideas to Impact: Protecting Intellectual Property for Competitive Startups.

For industrial engineers innovation and productivity are important themes to focus on. IEs have to organize events, participate in the event actively and promote industrial engineering as the department, function and discipline to promote productivity through innovation.

Background Material - 2025 India National Productivity Week - February 12- 18, Theme - From Ideas to Impact: Protecting Intellectual Property for Competitive Startups.

https://nraoiekc.blogspot.com/2025/01/background-material-2025-india-national.html



Innovation on the Production Line - Process innovations - Role of  Operations 

Part of Total Innovation Management - Introduction

https://nraomtr.blogspot.com/2025/01/total-innovation-management-introduction.html



Chapter contents

 Operations management 156

 The nature of design and innovation in the context of operations 157

 Design requirements 158

 Design and volumes 160

 Craft-based products 162

 Design simplification 163

 Reverse engineering 163

 Process design 164

 Process design and innovation 166

 The relationship between product and process innovation 168

 Managing the manufacturing: R&D interface in process industries 168

 Stretch: how innovation continues once investment is made 168

 Innovation in the management of the operations process 169

 Triggers for innovation 170

 Design of the organisation and its suppliers: supply chain management 175

 Business process re-engineering (BPR) 178

 Lean innovation 179

 Case study: Innovation on the production line 180

-------------------

 Learning objectives

 When you have completed this chapter you will be able to:

 ● recognise the importance of innovation in operations management;

 ● recognise the importance of sales volume in product design;

 ● recognise the importance of design in the process of making and delivering a product or service;

 ● appreciate the different relationships between product and process innovation;

 ● recognise that much innovation is not patentable; and

 ● provide an understanding of a number of approaches to design and process management.


Making the resources available to continuously innovate and improve the service to customers and developing new markets for products is a difficult and complex task. 

Operations management is about the control of a conversion process from an input to an output. 

A large percentage of the asset base of the organisation normally lies within the functional  boundaries of operations, and it is essential that the assets be used to effect, to gain an advantage in this increasingly competitive world. In particular, the degree of innovation involving these expensive assets is crucial, if the organisation is to prosper.



The nature of design and innovation 

Some innovations are described as ‘leading edge’ and are based upon work from within the R&D laboratories and may involve patent applications. Innovation may also be a new application of an existing technique to a different situation. Something that is new and innovative to one company may be a tried and tested procedure or product to another. Also, every innovative idea may not be suitable to patent but, to those concerned, the novelty, the ingenuity, the problems associated with its introduction and the cost–benefit to the organisation may be just the same.

Large and significant improvements can be followed by incremental and less spectacular innovations and improvements, but senior managers and company directors must be aware of the strengths and weaknesses of both.


Design

Designing and inventing are different in kind. Design is usually more concerned with the process of applying inventions to specific situation. The invented device or machine has to be scaled to fit the situation. Design is also a compromise between the different elements that constitute the design. For example, increasing the wall thickness of a product made from steel may increase the product’s strength, reliability and durability, but only with the consequential increase in product weight and cost.

Design simplification

The purpose of design is to develop things that satisfy needs and meet expectations. By making the design such that the product is easy to produce, the designer enables the operation to consistently deliver these features.  If the product is simple to make, the required quality management procedures will be less complex, easy to understand and, therefore, likely to be more effective. If a design is easy to make, there will be fewer rejects during the manufacturing process and less chance that a substandard product reaches the customer. 

Innovation within the manufacturing function involves searching for new ways of saving costs in the manufacturing process and is a continual process, and the closer designers work with operations and marketing personnel, the more likely the organisation is to succeed. 

(Innovation within the manufacturing function involves searching for new ways of saving costs in the manufacturing process and is a continual process. It is undertaken by Industrial Engineering Department. In the companies using Toyota Production Systems, operations function is also given responsibility and targets for continuous cost reduction. Industrial engineering department works in collaboration with operations departments to support them in cost reduction).

 Process design

 The process design is based on the technology being used within the process. The metal-forming processes, the chemical processing industry, the plastic material processing and electronic assembly are all sophisticated subjects with their own literature.


Process design and innovation

 There can be few who doubt the importance of process innovation to the firm. 

Famous examples, such as Ford’s Model T production line, and Pilkington’s float glass production process  have shown clearly that when it comes to delivering benefits to the firm it is process innovations that can generate enormous wealth for the firm.


Process innovation has received much less attention than product innovation in the literature on innovation management. This may be because product innovations are visible, whereas process innovations frequently are invisible. Indeed, Rosenberg argued that process innovations have been subsumed into treatments of productivity and that many of the process innovations that firms make are silent, requiring little strategic decision making (Rosenberg, 1982). It is, therefore, not surprising that the following idiom often is quoted in the industry: ‘Product innovations are for show whereas process innovations are for dough.’ 

 Process innovations are an important source for increased productivity and they can help a firm gain competitive advantage. The introduction of a cost-reducing process often is accompanied by changes in product design and materials, whilst new products frequently require the  development of new equipment.


 The relationship between product and process innovation

 In a major review of the constructs of product and process innovations, Simonetti  et al. (1995) conclude that 97 per cent of innovations incorporate product and  process innovation attributes.

 Process innovation can be defined as new activities introduced into a firm’s production or service operations to achieve lower costs and/or produce higher quality product  Many  activities and improvements in processes may go unnoticed. Changes in the production process of a cereal box that reduces costs by 10 per cent would not be noticed by end consumers; but certainly it would benefit  the firm.



Innovation in the management of the operations process

The task of all managers is to improve their operation – otherwise they are supervisors and do not justify their job title. New, innovative ways of working within the operations process to gain competitive advantage is, therefore, part of every operations manager’s duties. The question often is how to start? How to trigger off an investigation resulting in an improvement? 

To identify techniques or triggers to help this improvement process,  a number of these triggers are discussed in the following sections.

 An excellent starting point for all analysis is the customer. Quality performance is the key operations management responsibility and innovation to help improve quality performance is critical to all organisations.



 Triggers for innovation

 Gap analysis

 In order to design quality products and services, it is necessary to fully understand your customers and their expectations. 

Expectations change over the period.   Twenty-five years ago, teachers used acetates and overhead projectors in the classroom. Today’s students expect a computer-generated image (for example, PowerPoint) presentation with the occasional video/CD clip to illustrate the lecture, i.e. the student expectations and requirements have increased with time.

 A technique used  to aid understanding of the differences (or gaps) between the customer and producer view or experience of a product or service is called ‘gap analysis’. 


Industrial Engineering - Product and Process Improvement

Industrial engineering emerged out of the efforts of ASME in the area of cost reduction. F.W. Taylor is called father of industrial engineering. It conducts product improvement studies and process improvement studies. Processes are documented first and are subjected to gap analysis or opportunity analysis. All persons connected to the product or process concerned are invited to study the process documentation and presentation and provide suggestions and ideas with potential to improve. These studies provide triggers for ideas for innovation.


Quality circles and process improvement teams

 A quality circle is a small group of voluntary workers who meet regularly to discuss problems (not necessarily restricted to quality matters) and determine possible solutions. The quality circle concept was developed from the ideas of Ishikawa in the 1960s to promote reading of quality magazine specially created for supervisor in Japan. Most people are expert in their job and appreciate this being acknowledged. Members of quality circles are given training in quality control and evaluation techniques. An idea coming from a member of the quality circle is far more likely to be adopted by the shop floor team than an idea imposed from above. Quality circles, therefore, reflect and exploit the advantages of the human resource theories embedded in employee participation and empowerment approaches. Furthermore, the recognition by senior managers that the employees are worth listening to helps to improve the total quality ethos of the company with beneficial effects on the company and its customers.

 Since their introduction it is estimated that over 10 million Japanese workers have been part of a quality circle with an average saving of several thousand US dollars. The later term ‘process improvement team’ was used (amongst others) to reflect the need to look at all aspects of the  process being considered. There has been adoption of the quality circle approach by organisations in Europe and the United States, but some argue that the cultural and adversarial differences between management and unions have inhibited the success of the approach in certain situations. However, quality circles can be a rich source of innovative solutions to problems and cost savings and patent applications may follow.


 Total quality management (TQM)


First introduced by Armand  Feigenbaum in the 1950s and then developed and refined by others (including Crosby, Deming, Ishikawa and Juran), TQM became defined as:

 An effective system for integrating the quality development, quality maintenance and quality improvement efforts of the various groups in an organisation so to enable production and service at the most economical levels which allows for full customer satisfaction.

 (Feigenbaum, 1986: 96)



 For a TQM approach to be successful, all the staff in all departments have to be involved. Quality is the responsibility of everyone and not exclusively of some other manager or department. Quality and employee improvements are, therefore, inextricably linked and should be part of a continuous cycle. If a modest innovative and improvement cycle continues, by embedding the approach in the culture of the organisation, the long-term and total result may be substantial and even exceed that of radical solutions provided by specialist innovation departments. Both in combination will provide a great advantage to the orngaization.

Much of the improvement in the reliability of cars over the past 20 years has been attributed to a very large number of incremental improvements initiated by thousands of employees in all the car manufacturing companies and their suppliers especially within Japan.


 TQM, with its continuous improvement, employee involvement and process ownership, has shown itself to be an effective policy in managing organisations, and it was made possible by the enthusiastic implementation. 


Quality function deployment (QFD)

 Quality function deployment (QFD) is a structured approach to this problem that relates the voice of the customer to every stage of the design and the delivering process. In particular, QFD:


 ● promotes better understanding of customer demands;

 ● promotes better understanding of design interactions;

 ● involves operations in the process at the earliest possible moment;

 ● removes the traditional barriers between the departments; and

 ● focuses the design effort.




The ISO 9000 approach

In 1994  the International Standards Organization ISO 9000 –  a set of standards governing documentation of a quality programme were published. A qualified external examiner checks that the company complies with all the requirements specified and certifies the company. 


 the ISO 9000 (2000)1 was developed to include four additional principles:

 ● quality management should be customer-focused;

 ● quality performance should be measured;

 ● quality management should be improvement-driven;

 ● top management must demonstrate their commitment to maintaining and continually improving management systems.


The EFQM excellence model

 In 1988, 14 leading Western European companies formed the European Foundation for Quality Management and gave an award for the most successful application of TQM in Europe. In 1999, this idea and model was refined and developed into the EFQM Excellence Model that reflected the increased understanding and emphasis on customer (and market) focus and is results-oriented. The underlying idea is that results (related to people, customer, society and key performance) are achieved through a number of enablers in managing and controlling the input/output transformation processes involved.

Performance measurement is by self-assessment, which EFQM defines as ‘a comprehensive, systematic, and regular review of an organisation’s activities and results referenced against a model of business excellence’. 


 the EFQM excellence model also embeds innovation and learning in the performance of the organisation


Design of the organisation and its suppliers: supply chain management



 Delivering prompt, reliable products and services cost-effectively form part of most organisations’ strategic plan. The term supply chain management describes the system of managing all the activities across company boundaries in order to drive the whole chain network towards the shared objective of satisfying the customers. 

Material (or information) flows through a series of operations in both directions and the principles of operations management apply.

 Increasingly, organisations concentrate on their core activities and subcontract more of their support activities to their suppliers. In many situations, these suppliers are global and supply chain management has become a key strategic issue for many organisations.

 Inclusion of suppliers in design activities is a new practice.  Much of the improvement in car design has been at the initiative of their suppliers.  With the involvement of suppliers in the new product development process, it has also been found that more cost-effective designs have been created . For a company to achieve its own quality goals it must consider the quality of the product from its suppliers and the suppliers’ own quality control procedures.  Successful supply chain management is, therefore, very dependent on good network coordination mechanisms, business relationships and information technology. For example, large organisations may help their smaller suppliers with training in quality circles.


The competition is becoming  essentially the efficiency of one supply chain versus another. Only by working together and innovating within the organisation’s supply chain, in terms of product and service, will the organisation survive.


 Business process re-engineering (BPR)

The radical breakthrough approach of business process re-engineering (BPR) is first attributed to Hammer (1990). The technique is a blend of a number of ideas found within operations (process flow-charting, network management) and the need for customer focus. These were brought together to define BPR as:

 The fundamental rethinking and radical redesign of business processes to achieve dramatic improvements in critical, contemporary measures of performance, such as cost, quality, service and speed. This radical rethinking is facilitated by a technology with the potential to provide dramatic improvements.

In the 1980s, BPR techniques were used extensively in the IT industry when the cheap and progressively more powerful networked PC began to replace mainframes.


 Lean innovation Lean principles are derived from the Japanese manufacturing industry. The term was first coined by John Krafcik in his 1988 article, ‘Triumph of the Lean Production System’.  The term described the low inventory system of Toyota.

Lean manufacturing or lean production is described as a systemic method for increasing flow in the system or value stream. At a more detail level,  the elimination of waste within a manufacturing process is advocated. 


More recently, the concept of lean innovation has been gathering interest from firms around the world. Lean innovation embraces a philosophy of not letting perfection get in the way of progress. It leverages the Pareto principle that 20 per cent of a product’s features will most likely deliver 80 per cent of the benefits sought by customers.  Google has  been practising lean innovation without realising it. Google, for many years, has released so-called ‘beta’ products to its consumers. For example, for many years, Google Scholar was used by many research students, even though it was not yet complete and probably contained some software errors. A definition of lean innovation is creating a new product or process, including the work required to bring an idea or concept into a final form, with emphasis on identifying and creating the value and removing the waste of the new product development (NPD) process.

 As an approach, lean innovation has a simple straightforward, step-by-step methodology that makes it relatively easy to explain and to implement:

 ● Identify the minimal viable product.

 ● Develop a version rapidly and test it with customers, ideally in a real-world competitive situation.

 ● Repeat the process until the core product is competitive or pivot to explore a new approach.

 Many argue that conventional approaches to product development in which teams expend enormous effort trying to create a perfected product without sufficient in-market customer feedback. The resulting new products are often too expensive, too complicated, too different from what customers want, and sometimes end up being too late to market.


Early reviews of firms that have adopted lean innovation techniques seem to show that it helps to create a better environment for learning market requirements. It helps to focus on the most important product attributes initially and encourages rapid cycling of trial and error based on customer involvement. In other words, lean innovation is not a better innovation process; rather it can be a more efficient learning process of the market needs. 


Chapter summary

The involvement of design and operations employees and managers is, thus, seen as an essential part of innovation management. Often, by understanding the basics of good design by, perhaps, ‘keeping things simple’ and looking at your products and services as your customers receive and use them, will help to deliver a continual stream of new product and service improvements. Continuous redesign of the company and its products and service, listening to your customers, watching your competitors, keeping aware of inventions and emerging technologies is a daunting task. Apart from fitting the various departments and functions together as a team,   a resonance has to be developed across all the constituents of the design and production spectrum to keep innovation going every day in the organization.



Ud. 7.2.2026

Pub. 25.1.2025



Innovation Management and New Product Development - Paul Trott - Book Information

 


INNOVATION MANAGEMENT AND NEW PRODUCT DEVELOPMENT


Paul Trott

https://www.pearson.com/en-gb/subject-catalog/p/innovation-management-and-new-product-development/P200000005632/9781292744957


https://books.google.co.in/books?id=OlGNwhPvAWgC


Plan of the book



Part One Innovation management


Chapter 1 Innovation management: an introduction

Chapter Summary

https://nraomtr.blogspot.com/2025/01/innovation-mmanagement-introduction.html

Chapter 2 National systems of innovation and entrepreneurship

Chapter 3 Market adoption and technology diffusion

Chapter 4 Managing innovation within firms

Chapter Summary

https://nraomtr.blogspot.com/2025/01/managing-innovation-within-firms-trott.html

Chapter 5 Operations and process innovation

Chapter Summary

https://nraomtr.blogspot.com/2025/01/innovation-on-production-line-process.html

Chapter 6 Managing intellectual property

Chapter Summary

https://nraomtr.blogspot.com/2025/01/managing-intellectual-property-paul.html


Part Two Turning technology into business


Chapter 7 Managing organisational knowledge

Chapter Summary

https://nraomtr.blogspot.com/2025/01/managing-organisational-knowledge-paul.html

Chapter 8 Strategic alliances and networks

Chapter 9 Management of research and development

Chapter 10 Managing R&D projects

Chapter 11 Open innovation and technology transfer


Part Three New product development


Chapter 12 Business models

Chapter 13 Product and brand strategy

Chapter 14 New product development

Chapter 15 New service innovation

Chapter 16 Market research and its influence on new product development

Chapter 17 Managing the new product development process



Ud. 7.1.2026, 26.1.2025

Pub. 13.1.2025


February 3, 2026

What is New in Management Theory and Practice? Management Theory and Practice Bulletin Board


Read News, Information and Lessons for Industrial Engineers 
Industrial Engineering Bulletin Board - Industrial Engineering Knowledge Center covering Productivity Management and Cost Management leading to Increased Revenue and Profit.








------------------------------------------

What is New in Management Theory and Practice?


Management New Theories and Practices - 2026

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February 2026

3.

CISCO AI Summit 3.2.2026 Today Live Stream

CII Institute of QualityBuilding People, Building India, through Quality

Confederation of Indian Industry (CII) Institute of Quality is hosting its 11th National Competition on Digitalisation, Robotics & Automation (DRA) - Industry 4.0 on 26-28 Feb 2026 through Cisco Webex. 

Award Ceremony will be held in physical mode in Gurgaon / NCR & schedule will be shared later.
 
Key objective is to strengthen culture building on Intelligent Automation and implementation of Industry 4.0 / Digitalisation / Digital Transformation & engagement of employees in each manufacturing location, as well as at the organisation level, will impact on enhancing Bottom line / Profit. Overall the competition aims to support Government of India’s “Make In India", “Digital India " and “Viksit Bharat" campaign by enhancing the competitiveness of Indian Industry in the global market.
 
65+ Case Studies on Intelligent Automation / Smart Manufacturing / Industry 4.0 / AI / ML / Smart Services / Digitalisation / Innovation / Robotics or Robotics Process Automation (RPA) / BOTS will be presented by teams from Manufacturing & Service Sector Industry across India. Last date for submitting applications along with DRA Summary Sheet and Presentation is 20th Feb 2026. Click on below links for downloading Application Form, Summary Sheet and PPT templates: 

AIM Research has just released this new report on Manufacturing Global Capability Centers (GCCs) in India.

McKinsey & Company
Bringing gen AI into people analytics shifts the focus from what models can produce to how much users can trust the answers. A deliberate, trust-first approach, starting small and anchoring AI in strong data, raises the bar for insight, context, and judgment.

Explore what this shift means for people analytics teams. 

Recent research from the McKinsey Global Institute points that while more than half of US work hour
s could be automated, most skills remain relevant—applied differently and increasingly in partnership with AI. 
 
For leaders, the priority is shifting skills: investing in AI fluency, judgment, and collaboration, and redesigning work so people and intelligent systems create value together. Explore the full report: mck.co/4q14OED

Harrington Emerson's Efficiency (Productivity Management) Principles (1911):
Planning - Standards and Schedules - Despatching - Standardized Conditions. - Standardized Operations.- Standard-Practice Instructions. 
Despatching, like other principles, is a sub-division of the science of management, a part of planning.
Harrington Emerson's The Seventh Efficiency (Productivity Management) Principle: Planning and Despatching.
Lesson 346  of  Industrial Engineering ONLINE Course -  Productivity Management Module. 
https://nraoiekc.blogspot.com/2013/10/chapter-9-seventh-principle-despatching.html

New research reveals five “blind spots” leaders routinely underemphasize, from accountability to competitive edge. Curious which behaviors separate momentum from real results? 

1. Performance edge
2. Capabilities enablement
3. Decision making
4. Competitiveness
5. Accountability


Take a closer look.

2.

McKinsey & Company
Stepping into the CEO role means becoming the face, voice, and bridge to a whole new set of stakeholders, often overnight. 

This guide breaks down how new CEOs can master the four W’s to shape a clear, confident narrative from day one. Read the playbook for navigating your firsts with intention. https://mck.co/4qOv6uA

1.

In 'Flash Teams: Leading the Future of AI-Enhanced, On-Demand Work,' Melissa Valentine explores how AI helps leaders assemble talent on demand, optimize workflows, and learn as projects evolve. 

Take a look at how data-driven collaboration is reshaping teamwork. https://mck.co/3NEnnRr

Explore the five questions guiding reinvention-level change, and why they matter now. https://mck.co/3LRqg0n
The leaders who succeed rethink where value comes from, rewire how their organizations learn, and show up differently for their people.



January 2026

31

AI-enabled M&A

Imagine identifying 500+ potential acquisition targets in less than 24 hours. 

By combining gen AI, semantic search, and deep company data, advanced scouting tools are helping acquirers prioritize the right deals faster, and turn insight into action. Take a closer look at what’s possible with AI-enabled M&A. https://mck.co/4akpDpE


27.
Prepare for four possible futures: sustained inflation, secular stagnation, a balance sheet reset, or the best outcome – accelerated productivity that restores global balance.​

Only one path delivers lasting growth and resilient wealth.​

​Explore McKinsey Global Institute’s report for more: mck.co/outofbalance

Ahmet Ömer Yılmaz
Senior Industrial & Mechanical Designer | Providing Design Services

Next-Generation Printing and Advanced Materials in 3D Printing
https://www.linkedin.com/posts/biomeryilmaz_robotics-automation-architecture-ugcPost-7421477820494909440-ArRF


Ankur Gupta
Chief Architect, Applied AI — Supply Chain Decision Intelligence (Inventory, Planning, Digital Twins) | Optimization + GenAI | Ex-Amazon/AWS/Flipkart


Applied AI in Supply Chain: Use a digital twin to improve supply chain performance
https://www.linkedin.com/posts/ankur-gupta-40897a_applied-ai-in-supply-chain-use-a-digital-activity-7421873222549286912-zZty

Ben Willis
End-to-End Supply Chain | People, Process, Tech & Data | Supply Chain Systems | Solution Design & Implementation | Consultant, Advisor, & Business Owner




Modern supply chains require deeper planning capability, disciplined execution, stronger analytics, and soft skills that keep teams aligned. 
When improving capability, where does change actually get hardest?

#SupplyChainSkills
https://www.linkedin.com/posts/benjamintwillis_supplychainskills-activity-7421939892106166272-rluI

Parthiban Srinivasan
Production & Process Engineer | Supply Chain & Operations | Simplifying Lean, ERP & SCM through Real Examples

Supply chain platforms — o9, Kinaxis, Logility, Blue Yonder...


21.


72% of CEOs now act as primary AI decision makers, with "trailblazing" CEOs spending 8 hours/week on their own AI upskilling.
BCG  AI Radar 2026, surveying 2,360 execs across 16 markets, including 640 CEOs. 






16
EY - 5 must reads for the weekend before WEF - January 16, 2026

PepsiCo supply chain digital twins

?D𝗮𝘁𝗮 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲
?L𝗲𝘁’𝘀 𝘀𝗶𝗺𝗽𝗹𝗶𝗳𝘆 𝗶𝘁. 𝗗𝗮𝘁𝗮 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗶𝘀 𝗳𝗼𝘂𝗿 𝘁𝗵𝗶𝗻𝗴𝘀:
→ ownership
→ quality
→ access
→ accountability

The Evolution of Management Models: A Neo-Schumpeterian Theory Zlatko Bodrozic and Paul S. Adler, 2018

Related






14.

Will AI End Traditional Management In 1,000 Days?
By Kevin Kruse, leadership development & emotional intelligence.
Jan 13, 2026

Planning and Organizing for Value - McKinsey - Organize to Value System - 12 Critical Elements

By making bold, intentional choices across 12 critical elements, leaders can unlock real, measurable value.


4 tensions leaders must navigate when rolling out agentic AI
MIT Sloan School of Management

Thomas H. Davenport, a fellow at the MIT Initiative on the Digital Economy, and co-author Randy Bean outline AI investments that have paid off for Vanguard Group with an estimated ROI of $500 million.


January 14, 2026


Humanoid (SKL Robotics) has announced a strategic partnership with motion technology company Schaeffler to support real-world deployment of its humanoid robots. 

Gmail with Gemini 
https://blog.google/products-and-platforms/products/gmail/gmail-is-entering-the-gemini-era/




13
McKinsesy on  Davos agenda this year.

Basic Marketing AI Agents in Multi-Marketing AI Agent Team


All Tata enterprises were expected to operate with ‘Tata values.’ 

One of the values was fairness to all stakeholders. 
Another was the pursuit of excellence. 
And a third, very dear to Mr. Tata, was respect for the dignity of all human beings.
Because that is how institutions are preserved, not by avoiding mistakes, but by refusing to stop listening. The courage to listen, consistently and personally, is what made Tata more than a group of companies.


The Learning Factory: How the Leaders of Tata Became Nation Builders Kindle Edition
by Arun Maira (Author) 




10
Managing improvement in the activities under their direction and control is an important task of managers now.

Improvement Management of Performance Areas - Safety, Quality, Delivery, Cost and Productivity

A large body of work has grown around how processes can be developed, enhanced and generally improved. The area was started by F.W, Taylor in 1880's with his studies to increase productivity through determining appropriate speed at which machine tools have to be run and operators have to perform. Process studies had further contribution from Gilbreths in the form of process chart. H.B. Maynard and R.L. Barnes provided more detailed descriptions. Maynard developed the procedure of operation analysis. Processes are made up of operations. Operation analysis and improvement has to be a compulsory step in process improvement. Quality engineers and management persons also emphasized process based thinking and process improvement for quality improvement.

9

5 must reads for the weekend
EY
January 9, 2026

AI revolution is gathering speed. It is a fast revolution. In just three to five years, artificial intelligence, connected systems, and bold business models will flip the industrial world on its head. 
Resetting the rules: AI’s role in the next Industrial revolution.

AI Maturity Progress Guidelines
New research by MIT CISR (MIT Center for Information Systems Research) researchers Stephanie Woerner, Peter Weill, Ina Sebastian, and Evgeny Káganer suggests that companies can advance in AI maturity by focusing on four factors: aligning AI investments with strategic goals; building modular platforms and data systems; synchronizing efforts to create AI-ready people, roles, and teams; and practicing good stewardship by creating transparent and compliant AI practices.


Experts — however knowledgeable in their field — aren’t immune to being wrong. As democracies turn to specialists to solve big issues, Professor Jonathan Bendor says non-experts should still hold them accountable.



7.


Five practical lessons to scale your data products
April 23, 2025 | Article

When it comes to data products, companies are operating much more along the single engine–single rail car model. The result is fragmenting data programs that fail to scale or generate the value that many had expected.


Data Products - A Better Way to Put Your Data to Work
Package it the way you would a product. by Veeral Desai, Tim Fountaine and Kayvaun Rowshankish (McKinsey).
From theHBR  Magazine (July–August 2022)

Industry-Service Matrix for Autonomous Vehicle:
Framework Development and Empirical
Validation
SUN JUNG PARK AND CHOON SEONG LEEM
Department of Industrial Engineering, Yonsei University, Seoul 03722, Republic of Korea

The standalone and integrated value of digital twins and ancillary emerging technologies for enhancing supply chain performance
Vincenzo Varriale,Francesca Michelino &Moacir Godinho-Filho
Production Planning & Control

Hyperautomation as a Socio-Technical Paradigm: Integrating Robotic Process Automation, Artificial Intelligence, and Workforce Analytics for the Future Digital Enterprise
Dr. Elena Marković
University of Belgrade, Faculty of Organizational Sciences, Serbia
International Journal of Modern Computer Science and IT Innovations
2026-01 (Jan)-05

Agent Grant: From Identity Signals to Measurable Risk Reduction
Agent Grant in Qualys ETM Identity uses agentic AI to measure and reduce identity risk across AD, Entra, Okta & other cloud IdPs/IDaaS. It operationalizes identity risk by turning messy Active Directory & identity-risk signals into validated, prioritized, and closed-loop actions with proof of risk removed.

AI’s rapid shift from efficiency tool to growth engine in wealth management.
EY America’s Ugur Hamaloglu says the investment required means the technology has to drive client acquisition, engagement, and personalization.
JAN 06, 2026

6

4 Ways to Address Employee Discontent
Harvard Business Review
January 6, 2026


The latest AI news we announced in December
Google
January 6, 2026

Five Trends in AI and Data Science for 2026
From the AI bubble to GenAI’s rise as an organizational tool, these are the 2026 AI trends to watch. Explore new data and advice from AI experts.
 
Thomas H. Davenport and Randy Bean January 06, 2026

1. The AI bubble will deflate, and the economy will suffer.
2. More all-in adopters will create ‘AI factories’ and infrastructure.
3. GenAI will become more of an organizational resource.
4. Agentic AI will still be overhyped but will likely be valuable within five years.
5. Debate will continue over who should manage AI.





5
Value Creation Using AI -  AI Skills Gap Issue
Boston Consulting Group (BCG)
January 5, 2026


BCG analysis shows that while  20% AI value from basic technology and infrastructure, 10% of AI value creation comes from advanced and improved algorithms,  a striking 70% comes from redesigned and reengineered processes using the power of the new technology,  people trained in the new technology,  and change management (process specific education, attitude changes and training and skill development in the new processes). 


4

5 must reads for the weekend
EY
January 2, 2026

Agents and the promise of the infinite digital workforce
AI Agents powered by GenAI, a digital workforce that can take action, learn on the job, and stay switched on long after the lights go out.
Rethink workflows, upskill teams, and make sure humans and machines start the year working in sync.

In brief

Effective adoption requires redesigned processes and employee upskilling for human-AI collaboration.
Key challenges include reliability issues like hallucinations and dependence on human supervision.


Feedback is vital to personal and professional growth, but it’s often difficult to deliver well. A powerful way to help is using a clear structure to keep the conversation fact-based and focused on solutions.






------------------------------

Management New Theories and Practices - 2025


As we look back on 2025, here are some of the McKinsey Global Institute’s most illuminating charts – distilling a year of research across our core themes: https://mck.co/3Y49uOk


Our most-read Strategy & Corporate Finance articles unpack how the C-suite is leveraging AI, data, and purpose to stay ahead

Our Most Essential Reads of the Year 2025
Boston Consulting Group (BCG)

The Top 10 Articles of 2025
MIT Sloan Management Review
December 14, 2025

In 2025,  Organizations that enabled talent to adapt, grow, and lead are outpacing the rest in the AI era. Explore our top McKinsey People & Organizational Performance insights to see how the best leaders are building new mindsets and capabilities to empower humans at work.  Best of 2025.

Interviews with Wharton faculty authors about their latest books in 2025.

30 Dec

L.P. What separates good CEOs from great ones? How, and when, they communicate.

L.P. The best new CEOs ask questions that reflect a powerful mindset shift: moving from personal performance to collective purpose


First-in-the-nation AI law to support Responsible AI.
December 18, 2025 Faculty News
California vs. the deepfakes: How a Haas faculty member helped write first-in-the-nation AI law.
 David Evan Harris, a UC Berkeley Haas professional faculty member since 2015 and a UC Berkeley Chancellor’s Public Scholar, took a lead role in drafting California’s AI Transparency Act of 2025 (AB 853). Introduced by Berkeley Assemblywoman Buffy Wicks and signed into law by Gov. Gavin Newsom on Oct. 13, this first-in-the-nation law requires online platforms to make it easier for users to discern whether content is authentic or AI-generated. The law, which takes effect in January 2027, applies to social media, search engines, and mass messaging platforms like WhatsApp and Telegram.

How Procter & Gamble Uses AI to Unlock New Insights From Data
P&G is now incorporating analytical, generative, and agentic AI to address a wide variety of business issues.
Thomas H. Davenport and Randy Bean December 17, 2025


Calm: The Underrated Capability Every Leader Needs Now
By making one or two deliberate shifts, leaders can strengthen their ability to stay steady when work accelerates.
Lynda Gratton December 30, 2025
 I developed an eight-thread framework that captures the capabilities people rely on over long careers. Four threads relate to the capabilities, motivations, and skills specific to building productivity. The other four relate to what we do to nurture ourselves and those around us and are crucial to creating and maintaining harmony in our working lives.

Recently, I’ve been using a rating scale in workshops with executives to assess the current strength of their eight threads. The weakest thread is calm — the capacity and motivation to create space for reflection, center themselves, and protect the activities that restore their energy.\And yet, in every workshop, a small minority of attendees — typically around 10% — rate calm as their strongest thread. They are no less busy, no less driven, and no less accountable than their peers. I call them the calm minority. This article explores who they are and what the rest of us can learn from them.

In the calm minority, Calmness may be derived from three sources: heritage, personality, and experience.

Pathway 1: Calm From Heritage — Shaped by Context and Early Norms
Pathway 2: Calm From Personality — Temperament as an Internal Anchor
Pathway 3: Calm From Experience — Learned Through Exposure and Reframing


McKinsey Global Institute - Agents, robots, and us: Skill partnerships in the age of AI

November 25, 2025 | Report

Accelerating Manufacturing Innovation at Michelin With Data and AI

Thomas H. Davenport and Randy Bean  August 25, 2025
Michelin Group currently has more than 200 AI use cases that support essential businesses and functions, including inspecting tires for defects and providing advance detection of stock shortages in its supply chain. Ambica Rajagopal, the company’s group chief data and AI officer, explains how Michelin is using artificial intelligence technologies in its manufacturing facilities and in areas like marketing and finance to improve its products and its workers’ experiences on the job.



Businesses face a choice: innovate or be eclipsed. 
CEOs are turning to new venture opportunities to drive revenue growth and resilience, but how can they increase their chances of success? 
The three building blocks of a successful venture factory.
May 27, 2025 | Article


Which chief risk officer archetype are you?
May 6, 2025 | Interactive



The tech landscape is shifting fast, and leaders are feeling the pressure to choose wisely.
This year’s Tech Trends Outlook highlights the frontier technologies poised to reshape business, and what it takes to scale them with trust and impact. 
McKinsey Technology Trends Outlook 2025
July 22, 2025 - Report - Fifth edition




Don’t just finish the year strong. Finish with clarity.
McKinsey Strategy & Corporate Finance
December 10, 2025
By Carolyn Dewar, McKinsey & Company senior partner and co-author of two The New York Times bestsellers, A CEO for All Seasons: Mastering the Cycles of Leadership and CEO Excellence: The Six Mindsets That Distinguish the Best Leaders from the Rest.

Most leaders use December to close the quarter, manage urgent issues, and push for final results. But we have found the CEOs who consistently outperform  use this month to make the choices that will define next year: sharpening priorities, shifting resources, and aligning their organizations so January doesn’t begin with a cold start.

Across our work with more than 200 high-performing CEOs, three year-end practices separate those who set the pace for the next 12 months.


McKinsey Global Institute
 In a new Forward Thinking, Anu Madgavkar and Olivia White explore how boosting productivity through automation, AI, and workforce reskilling can help fill the work force availability gap.

Learn how leading organizations are navigating this shift and what American businesses can do 


Leading the tech agenda as CIO. CTO. CDIO

Building a robust investment case is a baseline from which tech leaders can lead positive change in their organization toward resilience, productivity, and growth. To do this, you will need strategies to successfully scale gen AI and agentic AI, moving beyond compliance to driving measured impact.

The pressure is on, and the opportunities for tech leaders have never been greater. CIOs must assume the roles of chief orchestrator, builder, protector, and operator across the entire business. You must capture the value of new technologies, based on real-world observations. From starting with high-impact internal use cases, to optimizing prompts, building the right test environments, and putting effective governance systems in place.


The CEO shareholder letter: What they teach us about company culture
McKinsey Strategy & Corporate Finance
May 6, 2025
Two of this year’s most dog-eared shareholder letters I’ve heard CEOs talking about are: Jamie Dimon’s letter to JPMorgan Chase shareholders, and Andy Jassy’s letter to Amazon shareholders.



Cost Stories - How AI Powers Excellence
Boston Consulting Group (BCG)
November 6, 2025

Become a Stronger Negotiator.
Read the article included in the newsletter/
MIT Sloan Management Review
November 30, 2025


Six Keys to a Strong Culture
MIT Sloan Management Review
April 13, 2025


L.P. How two simple formulas help to START(!) improving an assembly line.
In serial production environments, two simple formulas provide clarity and guidance.

1.Takt Time (TT)
TT = Net available time per day / Demand per day

2. Number of Operators Needed
# of operators = Operator Cycle Time (OCT) / Takt Time (TT)
👉 OCT represents the time one operator needs to complete a full cycle to make one product.


Leading in a New Era
Columbia Business School
July 18, 2025


How Gen AI Can Reshape Your Role as a Manager
Harvard Business Review
July 16, 2025

GenAI Innovation: Colgate-Palmolive’s Lessons
MIT Sloan Management Review
February 16, 2025







---------------------------------------
2024 Best Conversations of BCG

2022

2020

Episode 41: How Can HR Help Shape the Reskilling and Learning Agenda? (Interview with Lynda Gratton)
15 September 2020

Lynda Gratton is a Professor of Management Practice at The London Business School where she directs Human Resource Strategy in transforming companies, which is considered one of the world's leading programs on Human Resources. 

Lynda is also the founder of HSM, the research consultancy and has written extensively on the future of work, the role of corporations and the interface between people and organisations. Lynda's most recent book, The New Long Life, A Framework for Flourishing in a Changing World, was published at the end of May and we will talk a little bit about that in this episode.  You can listen below or by visiting the podcast website here.


Theodore Kinni, Contributing Editor, MITSMR   https://twitter.com/TedKinni
http://readingwritingmanagement.blogspot.com/

April 2019

One of the best tests of effectiveness of a social system is the number of ideas generated lower down and accepted higher up. - Bill Reddin

September 2018

7 daily habits of the best managers
August 9, 2018
Kristin Tyndall, editor    
https://www.eab.com/daily-briefing/2018/08/09/7-daily-habits-of-the-best-managers


March 2018

Managing Greatest people - Steve Jobs


The greatest people are self-managing -- they don't need to be managed. Once they know what to do, they'll go figure out how to do it. What they need is a common vision. And that's what leadership is: having a vision; being able to articulate that so the people around you can understand it; and getting a consensus on a common vision.

__________________

 __________________


Among Planning, Organizing, Resourcing and Staffing, Directing and Controlling, directing activity can be minimized when you have greatest people in your team. Recruiting them is important. Once you have such people Managing can be planning, organizing and controlling the main events. The processes can be left to the people to figure out and execute. You don't have to micro manage things.

Jobs terms people with highest maturity of business processes and tasks as greatest people.

https://www.thriveglobal.com/stories/27110-a-young-steve-jobs-once-gave-this-priceless-leadership-lesson-here-it-is-in-a-few-sentences

https://www.forbes.com/sites/susankalla/2012/04/02/10-leadership-tips-from-steve-jobs/

https://blog.dcrworkforce.com/build-effective-team-steve-jobs

November 2017


Transformations by New CEOs
https://www.bcg.com/publications/2017/transformations-people-organization-that-work-why.aspx?linkId=44591301

Amoeba Management - Kazuo Inamori - Full Web Page on the topic with various links

http://global.kyocera.com/inamori/management/amoeba/

27 August 2016

Why Companies Can’t Perceive Customer Insights and Can't Turn the limited Customer Insight into Growth

BCG Perspectives
16 August 2016

Many companies spend more time looking inward. Check in your next internal meeting, record on one sdie each mention of an internal topic, such as financial or operational performance, plans, metrics, organization, employees, or culture. On the other side, record each discussion of an external topic, related to competition such as technology, innovation, purpose, testing, social media conversations, or topics related to customer,  customers’ behaviors, needs, and wants. You will be surprised to see that internal topics dominate the external topics. Hence people spend more time in preparing for answering internal issues related questions and spend less time customers and competition.  This is not a good way of allocating top management and middle management resources. At each meeting, the priority area is to be decided and adequate time is to be given to that area. There has to be balance in various activities of the organisation. This principle was given by Henri Fayol way back in 1920s.
https://www.bcgperspectives.com/content/articles/center-customer-insight-marketing-sales-why-companies-cant-turn-customer-insights-growth/

Values of Business Schools





Updated  30 March 2018,  12 November 2017, 20 October 2016,  27 August 2016,  18 September 2015