Search results

Molly Madziva, who was born in Zimbabwe, was sent by her family to the USA to attend college. When she graduated in 2000 there were no jobs for her in Zimbabwe, as the economy was among the weakest in the world. While working as a software engineer at Bell Labs in New Jersey she decided that she wanted to help the people in her village of Macheke, the majority of who were farmers. Her idea would be an ambitious one. Molly called this the Macheke Sustainability Project. Molly met with various stakeholders who had an interest in the project. Following a thorough situation analysis and the formulation of a list of strategic initiatives, the major decision that she was left with was how to most effectively go about handling the implementation of the project. Her options included: a project within the Institute for Global Understanding at Monmouth University where she was enrolled as a graduate student; a non-profit business located in the USA; a non-governmental organization (NGO) located in Zimbabwe; and a private business in Zimbabwe. Each of these options had clear benefits. Molly was torn, however, as to which she should choose.

Case can be taught at the undergraduate or postgraduate level, including executive Master of Business Administration programs.

This case is intended for courses in strategic management, entrepreneurship and innovation at the undergraduate or postgraduate level.

The case is about challenges faced by Linda Portnoff, the Co-founder and Chief Executive Officer of Riteband, a Sweden-based fintech startup. In March 2020, Portnoff was conducting beta testing of Riteband’s app, which experts considered the world’s first stock exchange for music trading. After completing a PhD, Portnoff who was working as a Research Analyst, left her job to pursue entrepreneurship. Through Riteband, Portnoff helped to resolve pain points of artists who were forced to give the copyright of their music tracks or albums to distributors, in lieu of funds or promotional campaigns that distributors arranged for them. Portnoff invested in developing a patent-pending machine learning-based algorithm that based on several parameters could predict the likelihood of a music track or an album to become a success. Based on this prediction and royalty that artists were interested in sharing with fans, shares were issued to investors, who were also fans of the artists. As Portnoff identified an innovative business opportunity to trade music on a stock exchange based on Riteband’s machine learning algorithm, competition in Riteband’s strategic group was also becoming intense. Consequently, Portnoff was facing challenges of establishing competitive advantage of Riteband. Furthermore, as women in general faced challenges in raising funds for their startups, and even though Portnoff obtained some funding for Riteband, but overall, funding was a challenge for her as well. Moreover, as machine learning was a technical aspect for artists and potential investors, Portnoff also faced challenges to monetize on its machine learning algorithm.

By the end of the case study discussion, students should be able to: understand the principles of cross-industry innovation and explain the creation of new business opportunities based on cross-industry innovation; differentiate between direct and indirect competitors through strategic group analysis and further critically analyze the competitive advantage of business over other direct competitors; determine ways of reducing gender biases in venture capital funding; describe how machine learning works and further formulate ways to monetize a business through machine learning; and demonstrate the application of the value proposition canvas and business model canvas.

CSS 3: Entrepreneurship; CSS 11: Strategy.