As a managing partner in investment firms and a CEO, I pay extra attention to digital disruption being a complete makeover of how we do stuff – from working and producing to consuming and communicating. As a result, it means long-distance reimagining of both business operations and individual lives of the customers. If you have your doubts, I must tell you: the concept is more than a marketing decoration! It has been around and reshaping our lives for quite some time now, and also is very well backed by theories.
Among some earlier visionary thinkers who contributed to the topic, there was Joseph Schumpeter, the economist who coined the term "creative destruction". According to him, the key role in this process is played by the startups themselves. Schumpeter compared this market life phenomena to a phoenix rising from the ashes and argued that as new innovations and technologies emerge, they not only disrupt but also create new markets, replacing the old with the new. Following his ideas, the history of the modernized term starts with a Harvard Business School professor Clayton Christensen and his work "Innovator's Dilemma". There, he introduced the concept of “disruptive innovation” to show how smaller companies with a creative approach can rival and overbeat even some of the most established giants, gaining market dominance later on. You could ask me: “Professor, but is it still actually relevant today?” Long story short – yes. For example, the
McKinsey data on COVID impact points out that digital products and services are now developed even faster: the global rate progressed by 7 whole years! Counting 6 years in North America, 7 years in Europe, and more than 10 years in Asia-Pacific regions.
So, digital disruption could still be the real catalyst for progress and an engine that propels us into desired futures. And it's beneficial both to investors looking to make profit and to society as a whole. First gain their share from what Christensen described and the big overall human population of Earth could definitely hope to build some new systems on the ashes of what we have. However, the same study shows that the adoption rate of these changes is 2 times less rapid: with 3 years acceleration around the world and only the Asia-Pacific region topping that number. The tricky question is how could I actually know a productive change when I see it? What are the core features of a disruptive approach? (and bear in mind that it’s supposed to build over the outdated old ways, not merely challenge and criticize!) During my university teaching as well as seeing many pitchings, I got a little fond of getting to the point, so I will give you a list of the 4 main factors I personally distinguish here:
Advancements in Technology. At the end of the day, you cannot escape actually inventing or upgrading something. Be it an entirely new mechanism or its creative and niche application, there’s got to be an innovative idea and a high-tech base behind your solution.
Knowing Consumer Behavior. Living up to the consumers’ expectations is tough out there. Modern age demands convenience, personalization, and seamless experiences. The business is supposed to adapt rapidly or to convince the client there is an even better way of doing things. To do that, a thorough research of your target audience is definitely a must, and I will talk about some examples of the ones I conduct with my team in upcoming articles.
Global Connectivity. The aforementioned startups and established giants now compete on a level playing field, so geographical boundaries should not prevent you from reaching potentially useful connections. Many teams do not properly define whether their product is meant for a vertical or a horizontal market, simply assuming they know how their stuff is done locally and hoping to seamlessly transfer it to another demographic, region, language -- you name it. To make sure your project is scalable in this sense, you gotta pay attention to the real-world problems you're introducing solutions for, not make them up or assume your current experience is universally applicable.
Science-like Precision. DO NOT IGNORE THE DATA. Its abundance unlocks unprecedented insights, whichever sector you’re aiming for. Analytics, machine learning, testing statistically-driven hypotheses – make it all an advantage and don’t put all your hopes into the basket of magically guessing one day (which also happens, but would you bet on it?)