Implications for Education Institutions in the World of Networks

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October

2018

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After the dotcom boom of previous decades, a new trend seems to alter the ways we conduct business for the next years. This trend, which is called the platform-based business model, is a digital type of business model tailored for the needs of people today and in the near future. In contrast to traditional business models, this digital business model derives its value from the network effects it raises through the interactions among different sides it serves; namely the demand side and the supply side. Examples of this type of business model include some of the most popular corporations today: Uber, Airbnb, and even Facebook.

Traditional and incumbent players in various industries are somehow affected by the success of platform companies just like the struggle of traditional taxi drivers against Uber. The concept of shared usage prevails upon the concept of ownership for costly items and services in every industry; which raises concerns in industries which have not been affected significantly yet.

One of those industries is the education industry which has students as the demand side on one hand and teachers/information providers as the supply side on the other hand. However, until recent years, this industry mostly failed to recognize this shift from traditional business models to digital platform base business models even though they claim to be a source of innovation. Even though there are some pioneers in the industry such as Courseara and Udemy, most of the incumbents are yet to realize the platform potential of their industry. Especially in the US, where there are several thousand Universities serving general purpose instead of specialized aspects, converting into a platform-based education provider by bringing specialized academicians together with interested students would boost the value provided to both sides of the platform.

Probably the most important thing to consider in this case is the network effects just like in any other platform business. When a university thinks of itself as a platform rather than a service provider with full time academicians working for it, they would maximize the value they provide to both sides by closely watching how increasing the population of one side effects both sides. For example, increasing the number of students admitted to a programme would prevent future admissions; because, students would doubt the quality of education with too many peers next to them. In contrast, increasing the number of teaching staff would encourage more students to prefer your platform as their primary source of education. By thinking this way, educational institutions may also shift their pricing strategy from a side of the platform to the other when necessary, challenging the traditional way of education services. Decreasing the cost of having full time teaching staff and all facility related costs are also among the values this shift will bring to institutions.

As a result, the general shift to digital business models with a platform base in every industry also rings the bells for education institutions. Recognizing the values this shift would bring into your institution and industry is a first step towards success in the future. Concerning that in industries where businesses adopted the platform model, the first movers become the dominant players, educational institutions would not want to miss the chance to become a monopoly. Still, even if they recognize the values of opportunities of this new business model, there are some challenges and decisions they have to face; such as the positive and negative network effects and which side of their platform they are going to subsidize/ price.

More insights on the topic with different examples can be found from the link below. Looking forward to read your opinions on the topic!

Platforms Have Transformed the Economy. Is Education Next?

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The Future of the Human Factor in Business with AI

6

September

2018

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With an increasing concern among white collar workers towards a potential job loss, the penetration of AI into the world of business proves to be necessary and unstoppable. Until today those people with concerns were not proven wrong; since more efficient AI devices and software replaced a lot of jobs including those of HR and customer service employees.
Even in the innovation department of leading European banks, you can find people who are afraid of losing their jobs due to emerging technologies and ever growing intelligence of software/machines. Even though these cases look like warnings of an upcoming competition between machines and people in business, they are actually examples of how we fail to communicate the potential and benefits of AI for them in their jobs.

It is now certain that in automation and recommendation stages AI is an effective and efficient way of doing business. For example, firms like Wade&Wendy already adopted different AI systems during the hiring process which saves them a lot of time in the first steps of recruitment by filtering CVs based on keywords. These kinds of adaptation of AI in business may lead to job losses, unless fellow HR people and managers of a company perceive the potential of AI correctly. Even though AI systems are created as experts in their field, they cannot provide information or service in related or similar topics, in other words they know one thing and they know it well. Using their expertise in related or similar areas, opening new horizons for their use in business and leading them are still up to people. As AI gets better and better in technical skills and operations, the value of soft skills that humans possess will become more and more important to succeed. These skills like leadership, creativity and communication will enable us to exploit the human asset and efficiency provided by AI, while coordinating all the assets and resources of the company towards a certain goal.

As a result, employees from all levels should now first learn as much as they can about how emerging technologies, including AI, may affect their industry and stop trying to compete with them in terms of technical skills and efficiency. They should rather understand the pros and cons of those technologies, and try to improve themselves in areas and skills where technology isn’t or will not be an expert.

Sources and further reading:

https://www.forbes.com/sites/valleyvoices/2018/01/29/how-ai-is-changing-the-game-for-recruiting/#63c1b9d01aa2

https://www.forbes.com/sites/falonfatemi/2017/10/24/artificial-intelligence-and-human-intelligence-the-essential-codependency/#465d7c561d2e

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