The Ongoing Battle of Money vs. Knowledge in Business Development

This essay examines the changing dynamics between money and knowledge in the business world, particularly in the context of the knowledge economy. It explores how traditional business models, often reliant on large investments, are being challenged by the rise of internet-based startups and the availability of big data. The essay highlights the importance of scaling up a business and the role of investment during this phase, as well as the impact of marketing and operational costs. It analyzes how companies like Ola are changing the game by attracting smaller investors and leveraging collective skills. The conclusion suggests that strong knowledge-based tools and big data can attract small investors, creating new business models where skills and effort are valued, and the uneven distribution of money can be addressed, returning money to its role as an exchange for skills and services.

The ongoing battle of “money v/s Knowledge” and the advent of the “Knowledge
Economy”

Introduction
When we check the social patterns of the previous era from the point of view of a common man,
we find that money always ruled over knowledge in most of the cases. You may have best of the
business ideas to implement. They are a piece of waste if you don’t have money. On the other
hand if you have money to invest then best of the business ideas are knocking your door.
After the arrival of the Internet and big data, the business environment is changing. The onset of
this change gives rise to a hypothesis that reads, “After the removal of the entry barriers, the
money will become secondary and knowledge will gain the status of being the main capital of a
business”.
If money is an exchange in return for skill then why it is ruling the world
Money is necessary for survival and knowledge is necessary to earn and hold money. Does the
story end here? The answer is no, unfortunately, we are not living in a utopia where the principle
of “ each according to capacity and each according to necessity” stands tall in its true glory. Most
of the rich persons and industrialist are hiring talents or knowledgeable persons and taking their
services for peanuts. The uneven distribution of money in society is a big reason behind it.
Money started its journey as an exchange for services, however, now it has become an institution
in itself. Most of the financial institutions of the world are working on a model where “big
money attracts more money.” A few centuries ago money was only a token of the exchange of
skills; in the present world, money has become a skill in itself.

While looking at the Key factors that are barring the dominance of knowledge, figure out two
important aspects of any business, they are scaling up of the business and idling period of the
investment. Most of the business ideas need the exercise of scaling up, during this phase, a
business requires hiring talent and resources to amplify the reach and operations. Purchase of
heavy machinery, raw materials for a large scale production becomes a primary requirement.
The second phase is the phase of marketing, and this is an uncertain phase. Money becomes
important during the first two phases of the business. Once the business starts rolling then the
variation between the operational cost of the business and the profits comes in tandam and the
system becomes self-sustainable.
Smart ideas can change the traditional equations associated with business models very easily.
Many internet-based starters changed the conventional business models where “big money was
attracting more money.” The model of internet-based cab services is one such example. Players
like Ola are hiring individuals and collectively presenting them as a big organization. They are
scaling up the business; however, instead of taking the support of huge investment, they are
attracting small investors that can work as a working partner to offer the services.
Conclusion
“Big Money attracts more money” can become a thing of past in the coming future. In the future
“Big data” clubbed together with strong knowledge-based tools can change the scenario. This
combination can attract small investors in the form of an active working partner. The streamlined
projection of the data in relation to the variable of demand and supply can procure a new
business model where skill and the effort can earn a decent sum of money for a livelihood. This
model can take care of the uneven distribution of money in the economy. It can act as a leveler

where skills can once again become the means of earning money and money can gain back its
old status of being exchange in return for the skills and services.