Navigating Change and Adversity: A Case Study of Netflix’s Journey

Business Perspectives and Research, Ahead of Print.
On March 14, 2022, Netflix’s shares were down to more than 50% by losing all its pandemic gains. Investors have faced the biggest loss; even big companies have withdrawn their shares from Netflix. The founders of Netflix, led by Reed Hastings and pioneered by Marc Randolph, were in trouble. Though Randolph pioneered Netflix, Reed Hastings, the co-founder and the most decisive leader of Netflix, has played a prominent place in its growth. He has been serving Netflix for two decades, and his leadership tactics have helped it to serve in critical times like COVID. The journey of Netflix from inception to today has involved leadership lessons, tactics, and change initiatives. The role of Hastings in every change is also notable for the growth of Netflix. Though the change is for the improvement of the company, all the changes would not give fruitful results. The team Hastings adaptation and customization of changes were remarkable. The growth of Netflix can be divided into three phases: Before, during, and after COVID-19, depending on the change initiatives taken by the company. The changes adopted before and during COVID have made Netflix a top brand in the streaming zone. But due to present losses, there is a quest for the next act in the company to recover the market share; otherwise, the future of Netflix would be questionable.

Reporting on artificial intelligence use in entrepreneurship research: Using a model card

The International Journal of Entrepreneurship and Innovation, Ahead of Print.
The study of artificial intelligence is of increasing importance in the entrepreneurial domain. Despite the popularity of many artificial intelligence models, experimental studies in entrepreneurship that apply models are subject to replicability issues if they are not properly reported on. This note is a call to adopt a method of reporting on artificial intelligence models commonly used in the open source software community to ensure progress in future studies and to offer researchers a reflective opportunity to consider the appropriateness of models they use in experimental studies.