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This technical note addresses when and how gender is relevant in a negotiation setting. It provides an up-to-date summary of existing research as well as advice for practitioners (particularly those identifying and/or presenting as women) as they navigate their careers. This note can be used in general negotiation courses (undergraduate, MBA, or executive education) or in programming specific to women in leadership. It is currently used in the Darden Executive Education program "Women in Leadership."

This technical note introduces dynamic programming (DP), a powerful tool for finding optimal solutions to complex problems that involve a concatenation of multiple decisions. This note assumes some familiarity with decision trees. Compared to decision trees, DP simplifies the problem representation by pooling together similar decision situations, allowing us to apply backward induction in batches by means of the Bellman equation. The note stresses the importance of data to estimate transition probabilities, as well as to proxy the value-to-go in some complex situations. The note includes four exercises, which are supported by spreadsheets for both students and instructors. These cover job search decisions, pricing of American options, and hotel pricing (revenue management).

How do firms decide where to compete internationally? What challenges arise when competing across borders? What are different ways to enter a new foreign market? How should the firm compete in that new market? What factors make a foreign market "flat" versus "lumpy"? This technical note follows the format of The Strategist's Toolkit in laying out a framework for analyzing the "where" and "how" of international strategy. Thinking carefully about both local responsiveness and global integration can help managers successfully navigate the tension between these imperatives.

Data preparation is a necessary pre-processing step in analytics. It aims to clean the data from various resources and improve its quality for better productivity. This process includes many tasks such as fusion, cleaning, and augmentation of data. This teaching note will focus on illustrating data cleaning using the programming language Python, with all codes completed in Google Laboratory. Different solutions using the programming languages R and Microsoft Excel are also provided. To effectively illustrate the data preparation process, the relatively simple dataset Bengaluru House Prices is used. This is a relatively messy dataset with a few variables and many records, making it ideal for explaining data preparation steps.

A new entrepreneur planning to start a new exports and/or imports business is confronted with the issue of managing and mitigating various risks in international trade. Risks are inherent to any business, be it domestic or international. However, when business becomes international, the dimensions, complexities, and quantum of risks get amplified. This technical note discusses the nuances of various risks faced by the exporters, such as; credit risk, country risk, and currency risk faced by the exporters, popularly known as the three C's of international trading risks, and the strategies of mitigating those risks. The note also discusses the various risks encountered by the importers, such as; currency risk, supplier risk, and product risk and the methods of managing such risks.

Social determinants of health (SDOH) have gained significant attention in recent years. A growing body of research shows that a person's health is influenced by a large number of non-genetic factors, most of which operate outside the realm of health care and are directly attributable to socio-economic conditions. In the U.S., clinical and economic motivations have spurred health care providers, health insurance companies, local governments, and community-based organizations to take action to address SDOH. The fragmented structure of the healthcare industry has, on the one hand, stimulated innovation and experimentation. On the other hand, the lack of standardized measures to capture the effectiveness and efficiency of these interventions and the lack of loci to share information about best practices impede the identification and duplication of successful solutions. In this technical note, we describe the main players and their roles in the SDOH ecosystem, as well as the obstacles that hinder the development of successful, large-scale solutions. The note shines a light on the limitations of the current approach and highlights the potential of the U.S. SDOH ecosystem to succeed in addressing these important determinants of population health.

Startups are often evaluated by how well they perform on unit economics, defined as the ratio of a customer's lifetime value (LTV) to acquisition costs (CAC). A common target for unit economics, advocated by many VCs and analysts, is 3:1 (i.e., LTV/CAC=3). While there is certainly appeal to having a relatively high unit economics - and it provides the firm with a guide on how much to expend on acquiring customers - it is not obvious whether this prescribed "rule of thumb" ratio is in the firm's best interest. This note analyzes the problem by exploring how a company should go about determining the optimal amount to expend on customer acquisition. The approach proposed, in effect, calls for maximizing customer equity (the sum of lifetime values gained from all customers that are acquired less the acquisition costs incurred) and takes into account that there are decreasing returns to marketing efforts. The resulting customer unit economics (referred to in this note as CUE for short) is shown to often be lower than 3:1 - suggesting that firms have more leeway to grow while at the same time being mindful of profits.

On November 2, 2021, Enrique Lores, CEO of HP, Inc., ended the first online huddle of the week with his executive leadership team. The day was an historic one for the Palo Alto-based global company: six years earlier, HP Inc. came into being after the split of the iconic hardware company into two: HP, Inc. and Hewlett Packard Enterprise. As soon as Lores, who had become CEO the year prior, took over the reins at HP Inc., he immediately began to strategize the aggressive transformation of the hallowed company from a product-oriented to a customer experience-oriented company, identifying three areas, each requiring significant innovation: 1. Evolution of core business models to adapt to changing customer needs; 2. Pursuit of adjacencies in relation to the personal computer and print businesses; and 3. Leveraging platforms (capability and asset) and software assets to create new businesses. The broad and deep change initiative that he had charted for HP would require changes in skills, talent, infrastructure, and culture. To communicate what was required of his team, shift their thinking, and achieve a better multiple on their earnings per share, Lores asked his leaders to focus their attention on three key concepts: (1) Advance the business models of HP's core businesses; (2) Disrupt using HP's core assets; and (3) Transform the processes, cost structure, go-to-market capabilities, supply chain and brand of HP. Perhaps unsurprisingly, discussions at the morning meeting centered around the need to harness the past and drive the future. Markets were changing, HP's performance was accelerating and the company was seeing new customer behaviors. In addition, there was an inflection point in the PC stack and importantly, 3D printing, where HP had a great position, was attracting a lot of interest.

Standards and regulations exist to ensure supply chains are not exploitative of the people, environments, and materials with which they interact. This technical note concentrates on two aspects of the process for electronics supply chains: the responsible sourcing of raw materials and end-of-use recycling. It is recommended for use with a companion technical note, "Electronics Supply Chain Overview" (UVA-OM-1716); as well as with the following cases: "Fairphone (A): Can a Start-Up Change an Industry?" (UVA-OM-1712); "Fairphone (B): Is It Really Worth It?" (UVA-OM-1713); and "iFixit: If You Bought It, You Don't Really Own It" (UVA-OM-1772).

Electronics are sophisticated products with an equally complicated supply chain. Within the consumer electronics industry, revenue is forecast at 1.82% annual growth, with user penetration climbing from an estimated 29.7% in 2022 to 36.8% by 2025. Because electronics are so popular (and potentially expensive), there is also a growing market for used electronics and their recycled parts. The growth of this sector is critical for sustained development, as the raw materials necessary for future production are in short supply and electronic waste (e-waste) has a major impact on the environment. In 2019, the world generated a striking 53.6 metric tons of e-waste, and this figure is projected to grow to 74.7 metric tons by 2030. This technical note explores the electronics value chain, forward supply chain, the final assembly stage, reverse supply chain, and the financial benefits of e-waste parts reuse and recycling. It is recommended for use with a companion technical note, ""Regulations and Standards: Electronics Supply Chain"" (UVA-OM-1714); as well as with the following cases: ""Fairphone (A): Can a Start-Up Change an Industry?"" (UVA-OM-1712); ""Fairphone (B): Is It Really Worth It?"" (UVA-OM-1713); and ""iFixit: If You Bought It, You Don't Really Own It"" (UVA-OM-1772).

The decision to go public is a very complex process for a growing business. From completing the requirements of the US Securities and Exchange Commission (SEC) filings to answering complicated questions from potential investors, it is a major decision and an inflection point in the journey of a private company. Yet, the benefits often outweigh these downsides and cofounders are usually excited by the prospect of an initial public offering (IPO). This technical note aims to unpack the process of IPO, including the internal and external factors companies need to judge when considering taking the step.

This note provides an overview of real estate iBuying, or instant buying, a business model that involves buying homes and then reselling them at a profit. Introduced in the mid-2010s, iBuying streamlined the process of selling a home by offering instant, all-cash offers to sellers. This note includes context on the traditional home buying and selling processes, the impact of property technology (PropTech), the iBuying process and unit economics, and the iBuying market landscape (e.g., top players and geographic markets).

In 2022, retail media was one of the fastest growing segments in digital advertising. A retail media network (RMN) allows a retailer to use its assets for advertising. Retailers set up an advertising business by allowing marketers to buy advertising space across their different channels, such as their website or mobile application as well as physical stores or other properties the retailer owns or partners with. The value proposition retailers offer advertisers is to potentially generate more effective advertising and to drive sales, by leveraging their exclusive data that includes customer behavior and transactions (both online and offline), allowing advertisers to close the loop from ad exposure to purchase across channels. This note provides an overview of retail media networks in 2022. First, it describes the role played by each key player-retailers, brands, and consumers-as well as the main drivers behind the dramatic growth of RMN in the last few years. Then, it describes the main challenges for retailers who aim to seize the RMN opportunity. Third, it positions the RMNs within the broader context of digital advertising, identifying key challenges and open questions in this industry.

Increasing digitalization of grocery retail and quick commerce reveals insights about managing complex supply chains at scale and shifting revenue streams from product sales to data monetization. How are the roles of retailers changing? What happens if marginal cost goes to zero? How might new models change the grocery value chain? Building on earlier future of commerce themes, this note illustrates the challenges and opportunities of next generation retail trends in the grocery sector, including automated order management, logistics optimization, automated fulfillment centers, and the outlook for the future.