Orchadio, a direct-to-consumer grocery business, needs to conduct its first two A/B tests-one to evaluate the effectiveness and functioning of its newly redesigned website, and one to market-test four versions of a new banner for the website. To do so, it will rely on a technology management platform designed by Split Software, whose feature flags allow Orchadio engineers to (1) turn specific software features on and off and (2) to limit access to those features to specific groups of website visitors. These capabilities in turn enable A/B feature testing. Split also offers data analytics to allow Orchadio to assess how its tests affect a plethora of Orchadio's business, software, and operating metrics. Orchadio managers now need to decide how to design their experiments for maximum impact, including whether or how to sequence them.

In summer 2020, Stephane Bancel, CEO of biotech firm Moderna, faces several challenges as his company races to develop a vaccine for COVID-19. The case explores how a company builds a digital organization, and leverages artificial intelligence and other digital resources to speed its operations, manage its processes and ensure quality across research, testing and manufacturing. Built from the ground up as such a digital organization, Moderna was able to respond to the challenge of developing a vaccine as soon as the gene sequence for the virus was posted to the Web on January 11, 2020. As the vaccine enters Phase III clinical trials, Bancel considers several issues: How should Bancel and his team balance the demands of developing a vaccine for a virus creating a global pandemic alongside the other important vaccines and therapies in Moderna's pipeline? How should Moderna communicate its goals and vision to investors in this unprecedented time? Should Moderna be concerned it will be pegged as "a COVID-19 company?"

Collisions between innovators and established players are forcing leaders of existing companies to reexamine how they do business in settings where new players follow radically different rules. For many, making small or incremental changes won't be enough. They will need to fundamentally alter their operating models, including how they gather and respond to information and how they interact with their customers.

Today markets are being reshaped by a new kind of firm--one in which artificial intelligence runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado. Every time we use their services, the same thing happens: Rather than relying on processes run by employees, the value we get is delivered by algorithms. Software is at the core of the enterprise, and humans are moved off to the side. This model frees firms from traditional operating constraints and enables them to compete in unprecedented ways. AI-driven processes can be scaled up incredibly quickly, allow for greater scope because they can be connected to many kinds of businesses, and offer very powerful opportunities for learning and improvement. And while the value of scale eventually begins to level off in traditional models, in AI-based ones, it never stops climbing. All of that allows AI-driven firms to quickly overtake traditional ones. As AI models blur the lines between industries, strategies are relying less on specialized expertise and differentiation based on cost, quality, and branding, and more on business network position, unique data, and the deployment of sophisticated analytics.

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.

In the digital economy, scale is no guarantee of continued success. After all, the same factors that help an online platform expand quickly--such as the low cost of adding new customers--work for challengers too. What, then, allows platforms to fight off rivals and grow profits? Their ability to manage five aspects of the networks they're embedded in: (1) Network effects, in which users attract more users; (2) Clustering, or fragmentation into many local markets; (3) The risk of disintermediation, wherein users bypass a hub and connect directly; (4) Vulnerability to multi-homing, which happens when users form ties with two or more competing platforms; (5) Network bridging, which allows platforms to leverage users and data from one network in another network. When entrepreneurs are evaluating a digital platform business, they should look at these dynamics--and the feasibility of improving them--to get a more realistic picture of its long-term prospects.

In 1984, when the Boston Beer Company's Samuel Adams Boston Lager was first sold, founder Jim Koch had helped ignite a craft beer movement by making small-batch premium beers in an era of industry consolidation. By 2018, Boston Beer was a publicly traded company that continued to distinguish itself as a craft brewer while brewing millions of barrels per year and managing a diverse product portfolio including ciders and hard seltzers. That year, new CEO hire Dave Burwick faced a range of questions: (1) How to manage a company with a board chairman (Koch) whose name was synonymous with the company, and who continued to hold decisive voting control in the company's dual-class stock structure, (2) How to balance Boston Beer's commitment to craft beer quality with an increasingly sprawling portfolio, and (3) What specific changes to make to company operations to increase efficiency while maintaining focus on quality.

A small number of digital superpowers--Alibaba, Amazon, Microsoft, and others--have become "hub firms" because they control access to billions of mobile customers coveted by all kinds of product and service providers. These hubs drive increasing returns to scale and claim a disproportionate share of the value being created in the global economy. The authors argue that the hub economy will continue to spread across more industries, concentrating more power in the hands of a few. As an example, they take an in-depth look at the auto industry and how Apple and Alphabet/Google are poised to become the main beneficiaries as cars turn into digitally connected spaces for work, entertainment, and shopping. As hubs proliferate and expand their reach, the danger is that they will exacerbate economic inequality and threaten social stability. It is thus incumbent on all stakeholders--traditional companies, start-ups, institutions, and communities--to make certain changes in the ways they do business. Moreover, hub firms themselves must lead responsibly for the good of all, not just creating and capturing value but doing more to sustain other players in the ecosystem.

Contracts, transactions, and records of them provide critical structure in our economic system, but they haven't kept up with the world's digital transformation. They're like rush-hour gridlock trapping a Formula 1 race car. Blockchain promises to solve this problem. The technology behind bitcoin, blockchain is an open, distributed ledger that records transactions safely, permanently, and very efficiently. For instance, while the transfer of a share of stock can now take up to a week, with blockchain it could happen in seconds. Blockchain could slash the cost of transactions and eliminate intermediaries like lawyers and bankers, and that could transform the economy. But, like the adoption of more internet technologies, blockchain's adoption will require broad coordination and will take years. In this article the authors describe the path that blockchain is likely to follow and explain how firms should think about investments in it.

This case describes Uber's uberPOOL service, which let multiple Uber users who were headed in the same direction share a ride and pay substantially lower fares.

This note introduces key managerial issues in new product development. It describes the product development funnel and alternative approaches to structuring product development teams including functional, lightweight, heavyweight, and autonomous/dedicated teams, which vary in their capacity to manage integration. More formal product development approaches including the stage-gate process and critical-path method are described, as are agile methods and principles-and related tools such as scrum, extreme programming, feature-driven development. Product development metrics including lead time, capacity, and productivity are defined and discussed.

Indigo Agriculture had successfully developed and launched its first commercial product, microbe-enhanced cotton seeds, on an accelerated product development timeline. In late 2016, as the company was about to launch their second product, winter wheat, the management team proposed to again accelerate their development timeline and introduce six new products in four countries within the next 12 months. The CEO and Director of Business Development met to discuss the feasibility of accelerating their timeline, potential bottlenecks in the product development process, resource management, and the potential need for a more formalized development process.

Upwork, the world's largest freelance talent platform, was the result of a merger between the two leading online freelancing companies in 2014, Elance and oDesk. After the merger, the company operated as Elance-oDesk and continued to manage two online platforms - Elance.com and oDesk.com - independently of one another. However in 2015 the company relaunched as Upwork, with both a new brand and a new platform. The company began to migrate Elance.com members and functionalities over to the new platform, which was based on the technical infrastructure of oDesk.com. This case helps students consider the challenges and opportunities associated with such a platform merger, from strategy to implementation.

By 2015, India-based employment assessment and certification provider Aspiring Minds had helped facilitate over 300,000 job matches through its assessment tools. Aspiring Minds' flagship product, the Aspiring Minds Computer Adaptive Test (AMCAT), used machine learning algorithms to evaluate the abilities of job seekers and provide feedback by measuring not only skills and knowledge, but also personality and behavior traits. Since its founding in 2007, the company developed several new assessment products, including SVAR, a spoken-English evaluation, Automata, a programming skills evaluator, a customer service test, and TESLA, a suite of products that assessed and provided certification for vocational skills. The company had recently expanded into parts of Africa, the Middle East, the Philippines, the U.S., and most recently, China. Aspiring Minds had seen success as a business-to-business (B2B) entity, creating and selling technology products geared towards industry verticals. By 2015 the business-to-consumer (B2C) side of the business in India had been quite successful as well, generating revenues equal to that of the B2B side. As Aspiring Minds worked to establish a presence in China, co-founders Himanshu and Varun Aggarwal considered whether a B2B or B2C approach would best help the company achieve scale.

Facebook celebrated its ten year anniversary in February 2014. Over the past decade it has grown into the largest social network in the world with one billion users. After filing an IPO in 2012 at a $104 billion valuation (the third largest IPO in U.S. history), the stock price steadily declined, but recovered after the company implemented an effective advertising strategy. Facebook worked to maintain its "hacker ethos" and remain nimble as it matured. The company was worth close to $200 billion. Could this kind of value sustain itself for years to come?

On January 18, 2015, the New England Patriots faced the Indianapolis Colts in the AFC Championship game. In the second quarter, a Colts player intercepted a pass from Patriots quarterback Tom Brady. Colts equipment personnel alerted NFL officials that the ball's air pressure was below the required 12.5 PSI (pounds per square inch). Some argued that lower PSI provided a competitive advantage as it made the ball easier to grip and harder to fumble. At halftime, game officials found the air pressure in 11 of the 12 Patriots game balls to be under 12.5 PSI. The NFL launched an investigation into what became known in the media as "Deflategate," and commissioned attorney Ted Wells to investigate whether or not the balls had been intentionally deflated. Wells' team, with expert consultants, examined air pressure data recorded by referees, the temperature on game day, the behavior of Patriots players, and other evidence. Did the Deflategate investigation reveal any actual evidence of cheating? Were there flaws in Wells' investigation?

When Google bought Nest, a digital thermostat and smoke detector company, for $3.2 billion just a few months ago, it was a clear indication that digital transformation and connection are reaching critical mass, spreading across even the most traditional industrial segments and creating a staggering array of business opportunities and threats. The digitization of tasks and processes has become essential to competition. General Electric, for example, was at risk of losing many of its top customers to nontraditional competitors--IBM and SAP on one hand, big data start-ups on the other--offering data-intensive, analytics-based services that could connect to any industrial device. So GE launched a multibillion dollar initiative focused on what it calls the industrial internet: Adding digital sensors to its machines, connecting them to a common, cloud-based software platform, investing in software development capabilities, building advanced analytics capabilities, and embracing crowd-based product development. With all this, GE is evolving its business model. Now, for example, revenue from its jet engines is tied to reduced downtime and miles flown over the course of a year. After just three years, GE is generating more than $1.5 billion in incremental income with digitally enabled, outcomes-based business models. The company expects that number to double in 2014 and again in 2015.