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The central issue in the case is opportunity identification and decision making. While the literature on direct selling is limited, much has been written about ideation, effectuation, causality and opportunity identification and assessment. Scholars of entrepreneurship debate whether entrepreneurial opportunities are identified and assessed primarily through effectuation or causation.

This case is based upon a combination of interviews with the protagonist, her staff and secondary research.

This case explores the opportunity identification, assessment and decision making of an energetic, African American, female founder and CEO in the rarely-researched direct selling channel. Dr Traci Lynn Burton founded her company at 24 with an investment of $200. In 2008, in its second incarnation, Traci Lynn Jewelry became a direct selling company and has taken bold steps. By 2018, the company was a direct selling leader and was preparing to launch a new product line. The case supports undergraduate students in understanding effectuation and causation, opportunity identification and assessment, and direct selling.

This case is primarily for upper division undergraduates. It is suitable for courses in entrepreneurial strategy, entrepreneurial marketing, general entrepreneurship emphasizing opportunity identification, opportunity assessment and/or effectuation.

On completion of this case study, students will be able assess new venture opportunities by properly allocating expansion fund in growing the business; analyzing various scaling-up options; applying the Ansoff matrix for growth and expansion; designing a framework for scaling up; and using the business model canvas.

Mr Sreeram established Eruvaka Technologies in Vijayawada, Andhra Pradesh (India), in 2015 to provide products and services related to aquaculture. The company was founded with the goal of assisting prawn farmers who had trouble keeping up with the demands of the industry. Eruvaka Technologies created risk-reducing and productivity-boosting on-farm diagnostic devices for aquaculture growers. The company developed low-cost monitoring and automation solutions for aquaculture by merging sensors, mobile connection and decision tools. Eruvaka’s primary objective was to offer reasonably priced, technologically advanced goods and services to farmers. Eruvaka matured into a promising startup over time, attracting $5m in funding. Sreeram and his team had to detail their plan to their investors about how they intended to use the money from each funding rounds toward growing the business, how the company planned to achieve sustainable and competitive advantage while providing value to its consumers and how they would address critical issues including product acquisition cost, supply chain problem and customer anxiety.

This case study can be taught as part of undergraduate- and postgraduate-level courses and Master of Business Administration courses.

Teaching notes are available for educators only.

CSS 11: Strategy.

Uber had pioneered the growth and delivery of modern ridesharing services by leveraging the explosive growth of technology, GPS navigation, and smartphones. Ridesharing services had expanded across the world, growing rapidly in the United States, China, India, Europe, and Southeast Asia. Even as these services expanded and gained popularity, however, the pickup experience for drivers and riders did not always meet the expectations of either party. Pickups were complicated by traffic congestion, faulty GPS signals, and crowded pickup venues. Flawed pickups resulted in rider dissatisfaction and in lost revenues for drivers. Uber had identified the pickup experience as a top strategic priority, and a team at Uber, led by group product manager Birju Shah, was tasked with designing an automated solution to improve the pickup experience. This involved three steps. First, the team needed to analyze the pickup experience for various rider personas to identify problems at different stages in the pickup process. Next, it needed to create a model for predicting the best rider location for a pickup. The team also needed to develop a quantitative metric that would determine the quality of the pickup experience. These models and metrics would be used as inputs for a machine learning.

Resource-based view (RBV) theory (Barney, 1991; Barney and Mackey, 2016; Nagano, 2020) states that a firm’s tangible and intangible resources can represent a sustainable competitive advantage (SCA), a long-term competitive advantage that is extremely difficult to duplicate by another firm, when it meets four criteria (i.e. not imitable, are rare, valuable and not substitutable). In the context of this case, we believe there are three sources of SCA to be discussed using RBV – the major league soccer (MLS) team player roster, the use of artificial intelligence (AI) technologies to exploit this roster and the league’s single-entity structure: • MLS players: it has been widely acknowledged that a firm’s human resource talent, which includes professional soccer players (Omondi-Ochieng, 2019), can be a source of SCA. For example, from an RBV perspective, a player on the Los Angeles Galaxy roster: > cannot play for any other team in any other league at the same time (not imitable and are rare), > would already be a competitive player, as he is acquired to play in the highest professional league in the country (valuable) and > it would be almost impossible to find a clone player matching his exact talent characteristic (not substitutable) anywhere else. Of course, the roster mix of players must be managed by a capable coach who is able to exploit these resources and win championships (Szymanski et al., 2019). Therefore, it is the strategic human resource or talent management strategies of the professional soccer team roster that will enable a team to have the potential for an SCA (Maqueira et al., 2019). • Technology: technology can also be considered a source of SCA. However, this has been a source of contention. The argument is that technology is accessible to any firm that can afford to purchase it. Logically, any MLS team (or for that matter any professional soccer team) can acquire or build an AI system. For many observers, the only obvious constraint is financial resources. As we discuss in other parts of the case study, there is a fan-based assumption that what transpired in major league baseball (MLB) may repeat in the MLS. The movie Moneyball promoted the use of sabermetrics in baseball when making talent selection (as opposed to relying exclusively on scouts), which has now evolved into the norm of using technology-centered sports analytics across all MLB teams. In short, where is the advantage when every team uses technology for talent management? However, if that is the case, why are the MLB teams continuing to use AI and now the National Basketball Association (NBA), National Football League (NFL) and National Hockey League are following suit? We believe RBV theorists have already provided early insights: > “the exploitation of physical technology in a firm often involves the use of socially complex firm resources. Several firms may all possess the same physical technology, but only one of these firms may possess the social relations, cultural traditions, etc., to fully exploit this technology to implementing strategies…. and obtain a sustained competitive advantage from exploiting their physical technology more completely than other firms” (Barney, 1991, p. 110). • MLS League Single-Entity Structure: In contrast to other professional soccer leagues, the MLS has one distinct in-built edge – its ownership structure as a single entity, that is as one legal organization. All of the MLS teams are owned by the MLS, but with franchise operators. The centralization of operations provides the MLS with formidable economies of scale such as when investing in AI technologies for teams. Additionally, this ownership structure accords it leverage in negotiations for its inputs such as for player contracts. The MLS is the single employer of all its players, fully paying all salaries except those of the three marquees “designated players.” Collectively, this edge offers the MLS unparalleled fluidity and speed as a league when implementing changes, securing stakeholder buy-ins and adjusting for tailwinds. The “socially complex firm resources” is the unique talent composition of the professional soccer team and most critically its single entity structure. While every team can theoretically purchase an AI technology talent management system, its application entails use across 30 teams with a very different, complex and unique set of player talents. The MLS single-entity structure though is the resource that supplies the stability required for this human-machine (technology) symbioses to be fully accepted by stakeholders such as players and implemented with precision and speed across the entire league. So, there exists the potential for each MLS team (and the MLS as a league) to acquire SCA even when using “generic” AI technology, as long as other complex firm factors come into play.

This case relied on information that was widely reported within media, press interviews by MLS officials, announcements by various organizations, journal articles and publicly available information on MLS. All of the names and positions, in this case, are actual persons.

MLS started as a story of dreaming large and of quixotic adventure. Back in 1990, the founders of the MLS “sold” the league in exchange for the biggest prize in world soccer – the rights to host the 1994 Fédération Internationale de Football Association World Cup before they even wrote up the business plan. Today, the MLS is the highest-level professional men’s soccer league competition in the USA. That is a major achievement in just over 25-years, as the US hosts a large professional sports market. However, MLS has been unable to attract higher broadcasting value for its matches and break into the highest tier of international professional soccer. The key reason is that MLS matches are not deemed high quality content by broadcasters. To achieve higher quality matches requires many inputs such as soccer specific stadiums, growing the fan base, attracting key investors, league integrity and strong governance, all of which MLS has successfully achieved since its inception. However, attracting high quality playing talent is a critical input the MLS does not have because the league has repeatedly cautioned that it cannot afford them yet to ensure long-term financial sustainability. In fact, to guarantee this trade-off, the MLS is one of the only professional soccer leagues with an annual salary cap. So, the question is: how does MLS increase the quality of its matches (content) using relatively low cost (low quality) talent and still be able to demand higher broadcast revenues? One strategy is for the MLS to use AI playing technology to extract higher quality playing performance from its existing talent like other sports leagues have demonstrated, such as the NFL and NBA. To implement such a radical technology-centric strategy with its players requires the MLS to navigate associated issues such as human-machine symbioses, risking fan acceptance and even altering brand valuation.

The case is written and designed for a graduate-level (MBA) class or an upper-level undergraduate class in areas such as contemporary issues in management, human resource management, talent management, strategic management, sports management and sports marketing. The case is suitable for courses that discuss strategy, talent management, human resource management and brand strategy.

Acme Inc, a large retailer, explores the use of Data warehouse for addressing their decision support infrastructure Challenges. Acme plans for a pilot study to assess the feasibility and evaluate the business benefits of using Data warehouse. The focus of this case is to ascertain the steps involved in design, development and implementation of a Data warehouse.

This case was successfully taught in a second-year MBA marketing course on the science of behavior change. It would be suitable for first-year MBA and executive education programs. The material would work well on courses on women in business, women as leaders and women in data science. The female protagonist creates a tech platform and uses a data-driven model.

Marketing – it was used in a module around leveraging existing insights and creating new ones in marketing strategies. The course is structured around a “pathway to behavior change” framework. This case focuses on the analysis segment of the model, introduces targeted behavioral challenge(s) and lends itself to identifying consumer insights, biases and behaviors. It uses that analysis to learn about the market, competition and gaps to fill.

This case uses a startup in the retail industry to explore the leverage of behavioral science to enrich a business model and structure a marketing campaign. The material unfolds the testing of an innovative process and use of persuasion to align business practices with human behavior and scale. In addition, it gives the opportunity to discuss how a minimal tech solution could bring in market data and provide a test platform to larger clients.The founder of Rohvi, Sara Whiffen, created a platform that allowed shoppers to buy clothing items from local retail stores, use them and after a few wears, return the items for partial store credit. The business model was based on Whiffen’s experience in the automobile industry with used cars. Following her first few years in the business, Whiffen had to make some decisions around engaging clients on two sides – retailers and consumers. How can an innovative startup leverage behavioral science to persuade multiple stakeholders?

• Learn marketing concepts in material and a tech platform featuring a female protagonist and team; • practice evaluating a product and capturing value using behavioral science; • understand consumer/business biases and practice forming and delivering a persuasive message; • learn to leverage and create new insights to aid behavior change in business-to-consumer (B2C) and business-to-business (B2B) contexts; • analyze behavioral insights to identify new opportunities in a competitive marketplace; • unfold a framework to explore consumer motivation in recommerce; and • explore the use of experimentation in changing consumer behavior and improving decision-making.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Females need to be represented in core business education curriculum such as data analysis in addition to classes focused on social equity and business. This all female executive team pursued an innovative process built on a technology platform using a data-driven model to gain enterprise clients. The material offers an opportunity to explore sustainability.

CSS 8: Marketing

This case is used in the Marketing Analytics elective at Darden. A Sticks executive team is interested in opening a second quick-service restaurant in Richmond, Virginia. But before doing so, the team wanted to gain a better sense of who were Sticks' customers, which location would attract the best customers, and how to best connect with customers. An opportunity to gather survey data presented itself. Would the demographic and psychographic assumptions the team had gathered from talking to people in stores align with the survey answers? And what would the data suggest about where to locate new stores and about what marketing channels and messages to use to promote them?

The Ariba Implementation at MED-X case is designed to teach students how to analyze a program that is experiencing problems and recommend solutions. Specifically, the case introduces students to earned value analysis and program oversight for an e-procurement technology program. The case centers on MED-X's need to quickly discover why the company's e-procurement implementation project was not going according to plan. Once a cause has been discovered, students will need to make a recommendation to fix the problem. Data for the simplified program, consisting of two concurrent projects, is given to students, who should in turn analyze the project using earned value analysis. The case is an easy introduction to program management and oversight for executives and MBA students, and teaches the essentials of earned value project management.

Students will learn how to control and act in oversight of large complex programs, as well as how to apply earned value metrics to analyze a simplified program consisting of two projects. Analyzing the project enables students to learn the strengths and pitfalls of the earned value approach. From a management decision perspective, the case gives students the tools to succinctly answer the questions: How much will the project cost? How long will it take? What is wrong with the project?

As China has pressed ahead with rural revitalization in recent years, its rural financial sector has also developed rapidly and the financial environment has been greatly improved. But compared with urban areas, the rural financial sector makes rather limited contributions to rural economic development for a variety of reasons, including single types of service providers, narrow coverage, and lack of services and products. The underdevelopment of the rural financial system is closely related to the characteristics of its target customers and the economic system. The deficient rural financial credit system, the low level of IT application, the difficulty in data collection and integration, and the insufficient collateral of farmers pose high costs and huge risks for financial institutions when providing credit and other financial services.

In the present case, fintech and financial innovation complement each other: The application of fintech makes innovation possible, and the need for financial development fuels the development of fintech. Leveraging fintech and new business models, MYbank has overcome the main obstacles in the development of rural finance to provide convenient financial services for farmers and rural MSEs. Fintech is the abbreviation of “financial technology.” It can be understood as the combination of finance and technology for easier understanding, but it is more than that. Fintech refers to the innovation of traditional financial products and services with various technologies to improve efficiency and reduce operating costs. The emergence and development of fintech have led to the creation of new business models, applications, and processes, which have triggered major changes in financial markets, financial institutions, and the ways financial services are delivered, and are reshaping the financial landscapes of countries and even the world.

There are three major problems in the development of rural finance: difficult access to data, difficult risk management, and difficult market penetration. In order to gradually remove the obstacles and guarantee sustainable business development, MYbank has created three new business models with the power of fintech: digital inclusive finance at the county level, industrial finance, and platform finance. With these models, MYbank is searching for a “Chinese solution” to the worldwide problem of rural inclusive finance.

The Global Health Initiative (GHI) is a tripartite collaboration among Northwestern University, non-profit donors, and commercial diagnostics companies. GHI attempts to bridge the gap between the market for sophisticated medical diagnostics equipment in wealthy nations and the need for point-of-care diagnostics in resource limited settings. In 2006 GHI narrowed its focus to HIV diagnostics for underserved nations. The case examines the accuracy-access tradeoff related to the roll-out of infant HIV diagnostics in Tanzania. Tanzania has a prevalent HIV/AIDS problem, particularly in children. As of 2007, Tanzania had an estimated 140,000 children infected with HIV. Existing lab-based diagnostic equipment was either inaccurate for use in infants or required highly skilled health workers. Tanzania's limited infrastructure also forced healthcare providers to choose between providing advanced care to a minority of the population and offering minimal care to the majority with poor access. A Kellogg MBA student research team performed more than thirty in-country interviews to collect data on stakeholder perceptions of three infant test concepts: the strip test, the squeeze test, and the filter paper test. Across the three tests, access decreased as accuracy increased---rural labs could not find or afford health workers skilled enough to conduct the test. In general, interviewees closely affiliated with the government preferred accuracy over access. In contrast, private health facilities had to follow fewer regulations and preferred access over accuracy. The case focuses on the decisions facing Kara Palamountain, the executive director of GHI, in her roll-out recommendations for infant HIV tests in Tanzania. It examines key factors of working in a developing country, including the need to operate in the absence of sufficient market research, balance the competing agendas of different stakeholders, and mitigate external risks such as major international funding.

This case was written to be used as a teaching case for students unfamiliar with how to approach and analyze a typical business school case. Unlike many cases used in specific classroom settings, this case is intended to be broad enough that any single student will not have a significant advantage because of his or her background. Moreover, the case is designed to guide students' thinking in a certain direction, using open-ended and more focused discussion questions provided at the case's end.