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AI & Future of Business Technology

This community centers its focus on the burgeoning field of AI and delves into the far-reaching implications of artificial intelligence for the future of business technology. Participants engage in a rigorous exploration of cutting-edge advancements in AI, machine learning, and automation, all while unearthing novel avenues for innovation, operational efficiency, and strategic acumen in the corporate realm. This collaborative effort aims to shape the future of digital transformation through scholarly discourse, empirical inquiry, and the practical implementation of AI-driven solutions.

The Paradox of Loyalty: How Programs May Raise Prices for All

Loyalty programs are designed to reward consumers for their repeat business while helping companies foster brand allegiance and gather valuable insights. However, in their article, “Loyalty programs may limit competition, and they could be pushing prices up for everyone,” Scott Duke Kominers, Professor at Harvard Business School and Principal Investigator of D^3’s Crypto, Fintech, & […]

Gaining the Edge in Web3: Insights for Competitive Advantage

Michael Porter’s Five Forces framework has long been a cornerstone for analyzing competitive strategy. This model helps businesses map their competitive landscape and identify sources of defensible advantages. However, the advent of web3 technologies has fundamentally altered the nature of competition and collaboration in the digital realm, necessitating a reevaluation of how firms establish market […]

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Understanding Webmunk: A Game-Changer for Online Behavior Research

The internet’s dominance in modern economic and social activities makes understanding online behavior critical for businesses, policymakers, and researchers. However, traditional tools for measuring this behavior have significant limitations, especially for independent researchers without access to proprietary user data from technology companies. In response to this challenge, Webmunk, an open-source tool, offers a promising solution. […]

Streamlining Data Processing for Smarter Business Decisions

Effective data processing and analysis are key factors for businesses that want to make informed decisions. The working paper “Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python”  by Michael W. Toffel, Senator John Heinz Professor of Environmental Management at Harvard Business School and Principle Investigator of D^3’s Climate & Sustainability Impact […]

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