Hindustan Times (Ranchi)

In a post-Covid world, a new toolkit for government­s

- Amitabh Kant is CEO, Niti Aayog and Arindam Bhattachar­ya is senior partner, BCG India This article been influenced by Beyond Great: 9 Strategies for Thriving in an Era of Social Tension, Economic Nationalis­m and Technologi­cal Revolution The views expresse

Apost-Covid-19 world of increased volatility, social and economic tensions, but also one of huge opportunit­y from technology, is hurtling towards us. Businesses are urgently redefining their strategies to compete in this new era where the growth of the “digital” collides with the slowdown of the “physical”.

But what about government­s? Surely, if businesses and supply chains are transformi­ng, economic policymaki­ng and governance models cannot remain unchanged.

Economic policies of the 20th century were for a world of “physical” supply chains. In the last few decades, China was the biggest beneficiar­y of such industrial strategies. In the 21st century, the value pools in every industry are shifting from the physical to the digital (for instance, mobility services or even music streaming in a car). Policymake­rs must take into account this rapid growth of digital solutions and services. In terms of India’s economic strategies, while industrial policy should continue to target a greater share in global physical supply chains, India should not miss the bus to build a competitiv­e position in the new global digital value chains.

What does this mean for government­s? Let’s take the example of a tractor manufactur­er who wants to shift from selling a product to selling a digital farm solution to farmers to improve their profits.

To do this, the manufactur­er has to integrate data that measures performanc­e factors such as soil conditions, machine performanc­e, depth of planting with external data on inputs, crop prices and weather into an artificial intelligen­ce (AI) algorithm, which allows the farmer to make considered economic choices.

To enable India and its firms to be globally competitiv­e in digital solutions and services, policies to improve infrastruc­ture and regulatory costs or even innovation capability will not be enough. India needs policies that aggressive­ly build an equally competitiv­e data and digital infrastruc­ture, AI/machine learning (ML) capabiliti­es, with supportive policies on data-sharing and privacy. India will need many more data scientists, analysts and AI/ML programmer­s.

Another idea from businesses that we find fascinatin­g for government­s is the emergence of ecosystems as platforms to solve customer problems. The rationale is simple. Traditiona­l supply chains do not possess all the capabiliti­es to solve fast-changing and complex customer needs. An ecosystem of partners with different skills, using shared digital architectu­re and data, can do that. For example, tractor manufactur­ers cannot offer digital solutions to the farmer. They need an ecosystem of partners who offer different parts of the solution — from pricing analysis to weather forecasts and drone-based soil analysis. Government­s face a similar challenge of the complex needs of people. They can, therefore, adopt this innovative business model. However, to do that, they must overcome the cultural challenge posed by the “rules of engagement” for business ecosystems. Ecosystems are more open and collaborat­ive (ranging from completely open such as Wikipedia or semi-open such as an e-marketplac­e) compared to a “closed” system (controlled by one entity in terms of data flows and transactio­ns). They have a greater number of participan­ts, more diversity and limited/no hierarchy, all connected digitally, with a common objective to deliver customer value. They operate with an open and win-win mindset. Can government­s build public ecosystems which harness skills and capabiliti­es inside and outside government­s, enabled by digital infrastruc­ture and data-sharing and appropriat­e public policy, in a culture of openness and collaborat­ion?

The last idea draws upon two radical organisati­onal innovation­s adopted by leadingedg­e companies. The first is the concept of agile teams, in a move away from traditiona­l efficiency-driven hierarchic­al and siloed organisati­ons. Agile is both a philosophy and a way to deliver value. Agile teams are focused, non-hierarchic­al, cross-functional and outcome-driven. Outputs are clearly defined, measurable and delivered in “sprints”, ie, in short periods. There are no reports sent from one silo to another, everyone sits in a room, meetings are short, standing, and participat­ive. There is no place to “hide”.

The second is the creation of an internal, dynamic talent market. Desired outcomes are broken into projects and open for people to apply, even external talent, selectivel­y. Those best skilled and qualified are selected, not the most experience­d or senior-most. In this talent marketplac­e, continuous skill upgradatio­n is more important than the years of service and position. While both are radical ideas especially for a hierarchic­al bureaucrac­y, they will be increasing­ly important to deliver a better outcome.

As the post-Covid world unfolds, businesses are deploying a new playbook to compete and thrive. Government­s also need to design and deploy one, if they want to better serve the demanding needs of their people in the 21st century.

 ?? GETTY IMAGES ?? Traditiona­l supply chains do not possess all the capabiliti­es to solve customer needs. An ecosystem of partners with different skills can do that
GETTY IMAGES Traditiona­l supply chains do not possess all the capabiliti­es to solve customer needs. An ecosystem of partners with different skills can do that
 ??  ?? Arindam Bhattachar­ya
Arindam Bhattachar­ya
 ??  ?? Amitabh Kant
Amitabh Kant

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