Search results

This case presents some of the entrepreneurial challenges faced by a female leader in the technology sector who conceived a new product based on her passion to help others especially those most disadvantaged.

Upon completion of this case study, students should be able to prepare supply chain and distribution analysis that considers ethics and sustainability, integrate philanthropic efforts as part of an organizational strategy and recognize strategies to promote equity within and beyond an organization.

Connie Stacey (she/her) is an entrepreneur and president of Growing Greener Innovations, an award-winning battery energy storage company based in Alberta, Canada, with a mission to end energy poverty globally. With the emergence of COVID-19 as a global pandemic in 2020, Stacey turned her attention to an innovation called Project Rescue, a ventilator that uses non-identifying patient vitals to track data. It serves as a pandemic early warning system, addressing two key challenges: pandemic data are prone to error, and real-time information is non-existent after the pandemic has spread. This new product was conceived based on her passion to help others, especially those most disadvantaged. This multi-faceted case focuses on the many challenges that Stacey and her team needed to address. The dilemma in this case centres on establishing supply chains amid a pandemic, as well as prioritizing the corporate social responsibility elements of philanthropy and equity within her organization (and beyond).

This case is appropriate for third- or fourth-year undergraduate or graduate-level students.

In addition to “call out boxes” throughout the case and teaching note, additional readings/links/videos are outlined below. (These supplementary materials, “Teaching Tips”, are included in the teaching notes as well.)

CCS 11: Strategy.

The case focuses on truck high idle time, truck detention, and enroute challenges faced by Nagpur Golden Transport Company, a trucking company with a fleet size of 150 trucks. Being in a highly competitive market, every single order not fulfilled by the transporter is an opportunity lost. How should NGTC use GPS data, MIS, and other freight transport technological capabilities in reducing truck idling times, and increasing trip revenues?

In this case, lessons from the Chicago Benchmarking Collaborative illustrate key principles of collaborative action and the importance of using data to achieve SMART goals.

In 2015, the Chicago Benchmarking Collaborative (CBC) was a network of seven agencies in Chicago, Illinois, serving 12,000 low-income residents. Each of the agencies had early childhood, school-age children, and adult education programs. At the prompting of the Chicago Community Trust, they came together to (1) benchmark their education programs outputs and outcomes; (2) learn and share best practices through developing a common set of metrics and measurements and implementing these measurements into a case management software system; and (3) share the costs of the case management software system to be used for program evaluation and continuous quality improvement.

Three aspects of CBC are particularly noteworthy. First, there are no joint program activities or clients among these agencies. Their exchange is limited to sharing data and other information. This makes CBC distinct from collaborations formed to begin a program or to advocate for a policy. Second, the group requires each agency to enter data on a timely basis and to set SMART goals based on the data reports. The agencies are held mutually accountable for their work to achieve their own SMART goals during the year and report on progress. Third, CBC used monetary incentives to ensure that data entry and SMART goal action remained a priority for each agency.

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.

Cardagin, a new start-up in the increasingly competitive space of consumer/merchant apps for smartphones, is reaching an inflection point: decisions it makes at this stage can determine whether it becomes a national presence or an also-ran. The CEO needs to demonstrate the value of Cardagin's service to retailers and consumers in compelling ways. The case provides students an opportunity to analyze a new digital venture, explore expansion options, and evaluate the challenges in working with many small businesses, each with its own idiosyncrasies.

Finance, accountancy, auditing.

Supports information systems audit (ISA), auditing practises and controls, corporate governance and internal controls and financial management modules, business administration and MBA programmes.

The case study focuses on the implementation of ISA and information technology in the highly responsible task of executing financial audits The case emphasises on the fact that the advantages of ISA can only be reaped when they are amalgamated with an auditor's scrutiny, sharp eye, extensive knowledge of auditing systems and accounting principles and a rich experience of the auditing function. The suggested synergy also facilitates a reduction of around 60 per cent, in the cost of executing the audits and the man-hours required to complete the audit, as in the case of Jain Chowdhary & Company.

The case helps students to comprehend the relevance of audit trail. It emphasises on the importance of identifying the source of information and tracking raw data backward. It familiarises the students with the complexities involved in a real audit and emphasises on the role of logic, intelligence, diligence, patience and farsightedness while performing the auditing function. It is important for them to understand how White collar crimes take place in real business economy. This case, hence exposes students to these nuances and can make a student, from a non-commerce background, understand the key elements of efficient auditing. (Elaborate teaching objectives are appended in the teaching note.)

Teaching note.

This case was developed from secondary sources. The secondary sources included company websites, social media and news reports. This case has been classroom tested in multiple executive master of business administration (MBA) courses on business model innovation and entrepreneurship.

The case traces the entrepreneurial journey of Dozee, a remote patient monitoring system in India. Dozee was manufactured by Turtle Shell Technologies Private Limited, cofounded by Mudit and Gaurav. The primary customers of Dozee’s offering were households with elderly citizens and health-conscious individuals who sought preventive health care. The cofounders identified the unmet need for a convenient and user-friendly contactless health tracker. Dozee team built a thin sensor-embedded sheet and module that can be placed beneath the mattress to track sleep patterns and health vitals. They also provided data analysis and data interpretation services. After four years of conceptualization, Dozee launched its product and service in 2019. Although the initial response was lukewarm, the onset of the COVID-19 crisis led to significant changes in the health-care industry. Demand for virtual assistance and contactless monitoring devices became increasingly important elements of COVID-19 treatment. Unlike other sensor-based fitness trackers, the sheet could be easily placed under the patient’s bed to capture health vitals. Choosing to pivot from a home-based individual customer segment to a medical-grade device provider for hospitals could significantly increase the scale and scope of the offering for Dozee, but it would also place Dozee in direct competition with other health monitoring devices from different business categories.

This case is appropriate for MBA and executive-level courses related to entrepreneurship and business model innovation. The case explores issues such as digital disruption and how start-ups can design a go-to-market strategy. The case works well in the classroom, even if people are unfamiliar with the health-care industry. Participants can certainly relate to the concept of adopting artificial intelligence–enabled devices for monitoring their health. The instructor should be able to quickly engage participants in a lively discussion about Dozee’s vision and the opportunities and challenges in adopting digital solutions in health care.

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

The case examines the development and launch of an exchange-traded fund (ETF) based on JUST Capital's socially responsible corporate ranking methodologies. The case provides a market overview of Environment, Social, and Corporate Governance (ESG) and socially responsible investing (SRI), what has driven growth in those areas worldwide, and several best-practice investment approaches. Following the overview, the case describes the founding and development of JUST Capital, explores JUST Capital's ranking methodologies, and presents the decision point faced by the CEO: requisite selection of one of three strategies in order for JUST Capital to generate “self-sustaining” revenue.

After discussing this case, students will be able to understand the challenges faced by social entrepreneurs in starting a health-tech start-up in Africa; create and evaluate lean business models of health-tech companies as a social enterprise; evaluate how health-tech start-ups were developing innovative business models and supply chain networks to make prescription drugs accessible and available in Africa; understand how inorganic growth strategies can help health-tech start-ups scale up; and evaluate what promises investors were seeing while investing in social enterprises in the health-care sector in Africa and what social wealth they were creating.

In August 2022, Gregory Rockson (Rockson), social entrepreneur and founder of for-profit health technology (health-tech) social enterprise in Ghana, mPharma, stated that he had plans to replicate the company’s business model, which provided people access to drugs and at affordable prices, to other African nations, beyond the company’s existing footprint. However, analysts pointed out that the fragmented drug supply chain and poor regulation in the health-care market across Africa could act as a challenge for mPharma to replicate its business model successfully across the African continent. People in Africa were forced to pay higher prices to buy life-saving drugs due to the continent’s fragmented drug supply chain. To add to their woes, pharmacies struggled to keep life-saving and life-sustaining medicines in stock. Often, patients traveled miles to a pharmacy only to find out that the drugs they needed were not in stock. In addition to this, the markets were flooded with counterfeit drugs. And the Covid-19 pandemic only exacerbated the situation. mPharma managed the prescription drug inventory for pharmacies and drug suppliers using its proprietary vendor management information system. By using the technology infrastructure it had built, the company connected patients, pharmacies and hospitals through a cloud-based software. The system enabled doctors to track in real-time which drugs were available and at which location, thus giving patients reliable access to medicines. Patients registering with mPharma with their prescriptions and medical history received an alert on their mobile phones notifying them where the drugs they needed were available. mPharma bought drugs from major drug manufacturers such as Novartis International AG, Pfizer Inc. (Pfizer) and Bayer AG, on behalf of the pharmacies. This enabled the pharmacies to save on the up-front costs of stocking the drugs, reduced supply constraints and ensured availability of drugs to consumers in these underserved markets. The company had a consignment model wherein member pharmacies had to pay only for what they sold. Most pharmacies forecast the number of drugs they needed and purchased them from mPharma at pre-agreed rates. The company took the inventory liability to prevent pharmacies from going out of stock. As mPharma used its purchasing power to buy drugs in large quantities from drug manufacturers and suppliers, it was able to help patients realize cost savings of 30% to 60% in the purchase of medicines. mPharma was focusing on achieving its ambitious goal of dominating the health-care market in Africa in future. However, analysts felt that the company would face challenges related to poor regulation in the health-care market, high prices of drugs and the fragmented pharmacy retail market in the continent.

This case is intended for use in MBA/MS level programs as part of a course on Social Entrepreneurship, Sustainability, Business Model Innovation, Disruptive Business Models, and Supply Chain Management in the Drug Industry.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.