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This case describes how eight entrepreneurs discover different opportunities for new businesses to exploit a single technological invention. The case focuses on the process of entrepreneurial discovery and its implications for the creation of new firms. Many of the teaching materials on entrepreneurship assume that entrepreneurs have already discovered an opportunity. While these materials provide useful information about the process of creating new enterprises, they miss the crucial first step in the entrepreneurial process: identifying an opportunity. The case illustrates the theoretical concept of the role of information in the discovery of entrepreneurial opportunities. It can be used in a class on entrepreneurship or management of technology.

Entrepreneurship, Small Business, Small-scale Dairy Farmers

This case is appropriate for undergraduate final year/senior as well as graduate-level programme students.

This case explores the life of Saravanan, a small-scale dairy farmer in Malaysia. He inherited the business from his father. Small-scale farmers in Malaysia own farms with 30 (or fewer) milking cows. Over the years, milk consumption had been on the rise, but production was less than promising. Besides low-quality milk, Saravanan often experienced issues of low milk yield. Selling fresh milk as his only source of income and the milk collection centre as his sole marketing channel, Saravanan was caught in a financially tight situation when product diversification and marketing initiatives were limited. Saravanan’s problems began with rejected fresh milk, which landed him with zero income for the day. This issue was detected when the authorities identified a few contaminated batches of milk during a site visit. The problem compounded when Saravanan had to settle three months’ debt with the feed supplier on the same day. Saravanan’s predicament echoed the plight faced by small-scale farmers in Malaysia. After managing the farm for more than 30 years, Saravanan had plans to pass it to his son, Mugunthan. However, doubts about the sustainability of the business remained. Would Mugunthan suffer the same dire fate? Would he be able to find a way out? Based on the problem-solving framework, the case attempts to identify and assess the problems faced by small-scale dairy farmers in Malaysia, and at the same time, to suggest solutions that will ensure the sustainability of their business.

After attempting the case, students should learn to empathise with the hardship small-scale dairy farmers endure in the pursuit of their businesses, analyse issues and determine the root causes of the problems faced by small-scale dairy farmers in Malaysia based on the problem-solving framework, generate and justify sustainable solutions to solve the problems faced by these dairy farmers and present the case, discuss and work in teams, and critically offer sustainable solutions based on framework and theories.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

Why do some individuals become entrepreneurs while others do not? This fundamental question has vexed entrepreneurship scholars for some time, giving rise to various schools of thought. Traditional economic motivation theories, for example, suggest that entrepreneurial opportunities arise from changes in either supply (Shane, 2000) or demand (Dew et al., 2004) and emphasize personal economic gain as a motivator for pursuing entrepreneurship. Both neoclassical equilibrium and psychological theories take a person-centric perspective whereby stable, enduring differences among people’s characteristics, determines who becomes an entrepreneur. Opportunity recognition may be enhanced through perspective taking (i.e. putting oneself in the shoes of another person) (Prandelli et al., 2016).

The founders of the company provided us with access to the inner workings of the company, their mentors and advisors and themselves. This study used archival research and interviews when preparing this case. Interviews allow for the development of uncensored, real-life insights into the entrepreneur’s business experience. The authors first conducted a 90-min interview with Rajia and Ray at DifferenceMaker^® Central on the UMass Lowell campus. DifferenceMaker^® provided us with pictures and timelines from when Rajia and Ray participated in the various DifferenceMaker^® activities and competitions. A follow-on 90-min interview was conducted with the founders four months later at the UMass Lowell Innovation Hub to delve deeper into their transition from engineers to entrepreneurs.

In the summer of 2016, the future of invisaWear suddenly became uncertain. Rajia Abdelaziz and Ray Hamilton had conceived an idea for smart jewelry that they felt solved a real problem. But it was one thing to have a great idea and quite another to turn that idea into a real business. As engineering students, they were accustomed to solving problems, but if they truly wanted to make an impact, they had to learn to solve problems as entrepreneurs. With the help of DifferenceMaker^® and their mentors, they developed an entrepreneurial mind-set and decided to build invisaWear into a company.

This case is suitable for an undergraduate course in business or entrepreneurship. This case is intended to illustrate to both business and non-business students how individuals with different backgrounds can become entrepreneurs. Presented as a real-life example of how engineering students can make the transition to an entrepreneurial mind-set, the case can also be used to hone in on select topics including opportunity recognition, problem-solving, ideation and the business model canvas.

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.

In this case study, the alternative route designs were observed to significantly decrease transportation costs and the total distance traveled. This decrease in logistics requirements almost halved the annual number of shipments and the time needed for operation and documentation activities. In addition, reduced carbon emissions made this an environmentally friendly transportation model, in line with trends in society.

The basis for this case study was the analysis of Whirlpool Turkey’s transportation system for materials used in the production of white goods. Data obtained through fieldwork and cooperation with company consultants showed that some suppliers have high annual logistics costs. This inefficiency causes time loss and increases the total distance traveled and thus carbon emissions. In the case study, the current application created inefficiency in cost and time management, and therefore, after determining the factors that increase costs, different transportation solutions were developed accordingly.

This case is particularly designed for undergraduates in the final semester of management courses that specialize in supply chain and operation management.

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

Entrepreneurship.

The case has been used at Master's level but it has direct application to any MBA programme or entrepreneurship module.

Adrian Gore started Discovery in 1992 with seed-funding of R10 million from merchant banking group, Rand Merchant Bank (RMB), as a health insurance company within the RMB stable. By 2009, Discovery had become a large, listed, financial services institution employing more than 5,000 people and comprising not only Discovery Health (DH), but also Discovery Life (DL), Discovery Invest (DI) and Discovery Vitality (a wellness programme). In addition, it had operations in the USA, where it licensed Vitality for use by employers and other health insurers, and in the UK where it operated two joint ventures with The Prudential plc – Pruhealth and Prulife.

To understand the similarities and differences between corporate and start-up entrepreneurship; to understand the entrepreneurial process within an established organization; to explore the environment within an established company in terms of how much it supports or constrains entrepreneurship; and to look at creative ways to overcome obstacles to entrepreneurship in established companies.

Teaching notes.

It was mid-March 2014, and GE's John F. Welch Technology Centre in Bangalore, India was brimming with activity. GE had developed an advanced, scalable positron emission tomography-computed tomography (PET/CT) scanner as part of its global Healthymagination initiative to provide better healthcare for more people at a lower cost. Munesh Makhija, Managing Director, GE India Technology Centre and Chief Technology Officer (CTO), GE South Asia, was thumbing through a report prepared by the PET/CT product development team and GE's healthcare market research team. In another office, Suresh Kumar R.(Kumar), General Manager of the Essential PET Segment, was putting the finishing touches on a presentation outlining a commercialisation strategy for the new PET/CT product, Discovery IQ (Exhibit 1).

Discovery IQ was a revolutionary product that would be useful for staging, treatment planning and post-treatment planning assessment. Early reviews from nuclear physicians had been positive. However, the product was still too costly for the bottom of the pyramid (BoP) market. Kumar and his team were scheduled to meet with Makhija the following morning to discuss a “go-to-market strategy”. Kumar knew that Makhija would want to talk about their segmentation strategy and the underlying needs of various customer types. He also expected Makhija to focus on return on investment (ROI) projections because diagnostic centres in India first looked at various financial return measures before investing in any new equipment. Kumar wanted to present a commercialisation strategy for Discovery IQ, which required a significant commitment of resources to tackle supply and distribution challenges across tier II and tier III cities^a in India.

Kevin McRider, the COO of a fledging research facility, needed to foster an environment where scientists explored the boundaries of the metals, chemicals, polymers and tools used to create innovating medical devices. The freshly-minted PhDs he hired were enthusiastic to design and conduct research projects that bridged their scientific disciplines, in a collaborative workplace, with time allocated to individual projects as well. Effectively managed, their research would help the parent corporation leapfrog over existing or near-future technology.

The problem for McRider was how to get Lintell to realize his vision of a collaborative organizational culture that promoted revolutionary scientific discoveries. His challenges included managerial behaviors that prohibited critical interaction and information sharing, as well as disruptive organizational dynamics he himself had set in motion including pressures to focus only on certain research goals and projects at the expense of creative exploration, and the violation of the psychological contracts McRider himself had created with the scientists during recruitment.

Describes Myriad Genetics and its struggle to develop a genetic testing service while facing challenges from competitors and activist organizations. After Myriad's discovery of the BRCA gene, capable of genetic testing for breast cancer in women, Myriad needed to choose a strategy to provide this service to the public. With several major competitors offering similar services, intense media scrutiny, and a charged activist and political climate, a poor Myriad decision could have major repercussions.

Economics, business management

The case study is relevant for MBA, Master's and under graduate (economics, international and business economics) students.

Biocon is one of the top 20 companies from India in the Forbes list of “Best under a Billion” companies. It has emerged from being an enzyme-producing firm to a biotech powerhouse under the guidance of Ms Kiran M. Shaw. It is an innovative company with a varied scientific skill base and progressive manufacturing facilities for developing and commercializing biopharmaceuticals. This study attempts to explore the international foray of Biocon using the eclectic OLI framework. Entrepreneurship, need for integrated business model, innovation, quality control, etc. constituted the ownership (O) factors, important for Biocon to earn the more than compensating advantage in the overseas market. The locational factors were less important in case of Biocon as the global expansion was driven by a motive of either market seeking or cashing in on the cost advantage of its operations. The dominant mode of entry has been the joint ventures. The overseas patterns exhibited by Biocon can be captured fully by the O-L-I framework.

To understand the economic theory of OLI and the ownership, locational and internalisation advantages, link the OLI framework with the international foray of Biocon, Biocon's internationalization journey, major overseas deals signed and the economic rationale behind the deals.

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