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In the midst of increasing press scrutiny of the bottled water industry's environmentally harmful practices, FIJI Water made a series of sustainability promises. The boldest of these was a pledge to go "carbon negative." The company said that not only would they offset or mitigate all of their carbon emissions, but would go further, making every purchase of their hip, luxury bottles a net benefit for the environment. The unusual methodology they used to calculate their environmental benefit drew skepticism, and FIJI executives needed to evaluate how to move forward with their sustainability agenda.

The Allbirds: Decarbonizing Fashion (A) case introduces Allbirds as a footwear startup not only focused on simple design, comfort, and sustainable natural materials but on decarbonizing the wider fashion industry. Background material highlights the growing environmental impact of the footwear industry, including its use of leather and fossil-fuel-based materials and its focus on shorter product lifespans. Allbirds' product development process, by contrast, collaborated with suppliers to develop natural materials including wool and sugarcane to substitute for conventional petroleum-based materials and leather. The case is set in 2021, when Allbirds was extending its product range into apparel and expanding beyond its online store to open more retail stores around the world. Allbirds was freely sharing its know-how and material innovations with its competitors to try to scale its efforts to decarbonize fashion, yet the company was also keen to remain ahead and differentiated based on its shoes' comfort, minimalist design, and sustainable natural materials. The Allbirds: Decarbonizing Fashion (B) case encourages students to assess Allbirds' product development and go-to-market strategies now that Allbirds is a publicly listed company. The (B) case provides a 2024 update on Allbirds including its initial public offering, mounting losses, decreasing share price, and the release of a strategic transformation plan. It also covers co-founders Tim Brown's and Joey Zwillinger's transition out of the co-CEO role.

Intenseye was a Turkey-based technology startup that deployed machine learning algorithms to workplace camera feeds in order to identify unsafe worker actions and unsafe working conditions, in order to help improve worker safety. The case describes how Intenseye's technology solution was developed, how it works, and their target clients. The case highlights the tradeoffs associated with facial recognition and privacy, and the challenges measuring the value created by Intenseye and how the firm can capture more of the value it was creating.

The pandemic has placed a new spotlight on working conditions in factories that supply global companies. To avert problems, firms often impose codes of conduct on their suppliers and perform audits to assess compliance. Do these measures help identify unethical suppliers and lead to improvements? After an unsatisfactory audit, what are the chances the supplier will remedy matters? To answer these questions, the authors studied code-of-conduct audits of thousands of factories around the world. They found that suppliers are more likely to improve conditions if they do one or more of five things: certify compliance with management system standards, adopt lean management, use union workers, avoid piece-rate pay, and serve once-tarnished buyers. The research also identified monitoring methods that can boost the odds of improvement and uncovered several factors that result in more-accurate audit reports. Managing working conditions in global supply chains is an ongoing challenge. The authors' findings can empower managers to better predict which factories are likely to improve working conditions and to design monitoring programs that will foster improvement and accurately track performance.

This is a supplement to the Student Success at Georgia State University (A) case. The (B) case includes the results of a randomized control trial that Georgia State conducted to test education technology start-up AdmitHub's chatbot solution as a strategy for improving "summer melt" (i.e., applicants confirming that they planned to enroll but then not enrolling).

Georgia State University had developed a reputation for driving student success by nearly doubling its graduation rate for students of all racial, ethnic, and socioeconomic backgrounds. It did so while growing its student body and the proportion of Black/African American, low-income, and first-generation students-groups with historically lower postsecondary graduation rates compared to national averages. Georgia State's Student Success team, led by Tim Renick and Allison Calhoun-Brown, used a data-based approach to deploy micro-grant programs to retain students, implemented predictive analytics to improve student advising, and optimized course sequencing to help students graduate before they exhausted their financial aid. In 2016, they faced a growing "summer melt" problem where nearly 20% of incoming students who committed to attend never actually enrolled at Georgia State-and many never enrolled at any college. At the same time, they wondered how to balance continuing to incrementally improve student success at Georgia State and scaling their efforts to help the many other universities facing similar problems who sought to learn from their experience.

The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools are then described: mean squared error (MSE), mean absolute deviation (MAD), Brier score, and cross-entropy, true/false positives/negatives, the confusion matrix, true positive rate (sensitivity or recall), false negative rate (Type II error rate), precision, true negative rate (specificity), false positive rate (Type I error rate), receiver operating characteristic curve (ROC) and area under the curve (AUC), and precision-recall curve.

This note describes sampling and t-tests, two fundamental statistical concepts.

The President of Harvard University is facing growing pressure from students, alumni, and other climate change activists that are urging the university to divest its multi-billion dollar endowment from fossil fuel companies. The case summarizes the arguments for and against Harvard divesting, examining past examples of Harvard's investment decisions and the financial implications of divestment.

Indigo Agriculture used a digital-enabled research and development (R&D) process to launch its initial product, microbial coatings for agricultural seeds, which increase crop yields while reducing the need for fertilizers. In doing so, the company developed direct relationships with farmers, in contrast to typical agricultural supply chains that use intermediaries. The company then launched a marketplace platform to link growers directly to crop buyers, again disintermediating the market. Indigo Agriculture is now considering launching an initiative to incentivize farmers to engage in regenerative agricultural practices by setting up a carbon market that could pay them for sequestering carbon into their soils. If scaled globally, the idea could sequester as much as one trillion tons (a teraton) of carbon dioxide from the earth's atmosphere into agricultural soils, but pursing the idea has many risks.

This case explores the evolution of Nike's global product sourcing strategy, in particular ongoing efforts to improve working conditions at its suppliers' factories. When the case opens in July 2018, Vice President of Sourcing Amanda Tucker and her colleagues in Nike's Global Sourcing and Manufacturing division were focusing on three key supply chain challenges: sourcing from suppliers that meet compliance standards, challenging and encouraging suppliers to improve capabilities, and being responsive to consumer demand across the world.

New Balance Athletics, Inc., a major U.S.-based athletic footwear and apparel brand, sources most of its footwear products from independent suppliers whose factories are located in China, Indonesia, and Vietnam. Monica Gorman, vice president of responsible leadership and global compliance, is seeking to combine data sets collected by different parts of the organization to see whether she and her colleagues in the company's order management function can make a clear connection between the corporate social responsibility (CSR) results that her function tracks at the supplier level, with New Balance's order placement practices.

In late 2019, San Francisco-based electronic cigarette (e-cigarette) maker JUUL Labs (pronounced "jewel") faced intense pressure. Sales of JUUL products exceeded $1 billion in 2018, dominating the e-cigarette category. While JUUL Labs' stated goal was to help current smokers switch from traditional cigarettes to e-cigarettes, the company's products had become popular with high school and even middle school students, among whom "vaping"-the use of e-cigarettes-was rapidly spreading. Some advocacy groups and policymakers speculated that JUUL Labs had purposefully marketed its products to minors, an allegation the company strongly denied. The debate over JUUL Labs' marketing and products had made 2019 a difficult year for the company, with a number of states and municipalities imposing bans on the sale of flavored e-liquids, and in some cases, on all e-cigarette products. Given that the company was ostensibly founded to reduce the harm of smoking, what more could JUUL Labs do to prevent misuse of its products, restore its reputation, and grow its business more successfully?

Corporate sustainability has gone mainstream, and many companies have taken meaningful steps to improve their own environmental performance. But while corporate political actions such as lobbying can have a greater impact on environmental quality, they are ignored in most current sustainability metrics. It is time for these metrics to be expanded to critically assess firms based on the sustainability impacts of their public policy positions. To enable such assessments, firms must become as transparent about their corporate political responsibility (CPR) as their corporate social responsibility (CSR). For their part, rating systems must demand such information from firms and include evaluations of corporate political activity in their assessments of corporate environmental responsibility.

By 2018, it was clear that U.S. Green Building Council (USGBC) had significantly contributed to the growth of green building, and over its 25-year history had become a powerful brand in the construction sector with its Leadership in Energy and Environmental Design (LEED) standard. Nonetheless, USGBC faced two significant challenges moving forward: maintaining LEED's leadership position as the green building standard in the U.S., and increasing the proportion of building stock that met the LEED standard. The case provides background on the USGBC and the evolution of its LEED standard, including how the standards are set, and green building benefits and costs.

Though corporations have been lobbying the government and making campaign donations for a long time now, in recent years a dramatic new trend has emerged in U.S. politics: CEOs are taking very public stands on thorny political issues that have nothing to do with their firms' bottom lines. Business leaders like Tim Cook of Apple, Howard Schultz of Starbucks, and Marc Benioff of Salesforce--among many others--are passionately advocating for a range of causes, including LGBTQ rights, immigration, the environment, and racial equality. Not only are CEOs speaking out, but they're flexing their firms' economic muscles by threatening to move business activities out of states that pass controversial laws. But does CEO activism actually change public opinion and policies? What are its risks and rewards? And what is the playbook for leaders considering speaking out? The authors of this article examine those questions and explain the takeaways of their own research. One finding: Consumers tend to view CEO activism through the lens of their own political affiliations, so it can provoke both negative and positive responses. Nevertheless, in the age of Twitter, silence on an issue can be conspicuous--and consequential.

This note describes four broad categories of process architectures and then examines the nature of task assignment that typically would be found in a factory organized along the lines of each process type. It then delves more deeply into work flow policies, materials handling, and line pacing for the assembly line, since this process architecture is so widely used for the mass production of everything from smartphones to automobiles.