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1 – 10 of 228The expected learning outcomes are to understand the complexities involved in the integration of two carriers with different business strategies and approaches, the merger of two…
Abstract
Learning outcomes
The expected learning outcomes are to understand the complexities involved in the integration of two carriers with different business strategies and approaches, the merger of two brands with distinct personas and identities and the confluence of two different cultures; figure out the strategic options in front of the Tata Group and how it can deal with various macro- and micro-level business challenges, defy the financial hiccups and manoeuvre the operational complexities to accomplish mission Vihaan.AI; and develop a pragmatic approach to macro and micro business environmental scanning for making strategic business decisions.
Case overview/synopsis
In November 2022, Tata Group, the salt to software conglomerate, announced the merger of Air India (AI) and Vistara. This would lead to the formation of the full-service airline under the brand name “Air India”. The obvious reason behind this was the higher recognition, salience and recall of the brand AI as compared with Vistara in the global market. The Tata Group envisaged the brand AI to be a significant international aviation player with the heritage, persona and ethos of the brand Vistara in the renewed manifestation of AI. To realise these goals, Tata Group laid down an ambitious plan called “Vihaan.AI”, which was aimed at capturing a domestic market share of 30% by 2027.
Complexity academic level
This case study can be taught as part of undergraduate- and postgraduate-level management programmes.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 11: Strategy.
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This case is designed to enable students to understand the role of women in artificial intelligence (AI); understand the importance of ethics and diversity in the AI field;…
Abstract
Learning outcomes
This case is designed to enable students to understand the role of women in artificial intelligence (AI); understand the importance of ethics and diversity in the AI field; discuss the ethical issues of AI; study the implications of unethical AI; examine the dark side of corporate-backed AI research and the difficult relationship between corporate interests and AI ethics research; understand the role played by Gebru in promoting diversity and ethics in AI; and explore how Gebru can attract more women researchers in AI and lead the movement toward inclusive and equitable technology.
Case overview/synopsis
The case discusses how Timnit Gebru (She), a prominent AI researcher and former co-lead of the Ethical AI research team at Google, is leading the way in promoting diversity, inclusion and ethics in AI. Gebru, one of the most high-profile black women researchers, is an influential voice in the emerging field of ethical AI, which identifies issues based on bias, fairness, and responsibility. Gebru was fired from Google in December 2020 after the company asked her to retract a research paper she had co-authored about the pitfalls of large language models and embedded racial and gender bias in AI. While Google maintained that Gebru had resigned, she said she had been fired from her job after she had raised issues of discrimination in the workplace and drawn attention to bias in AI. In early December 2021, a year after being ousted from Google, Gebru launched an independent community-driven AI research organization called Distributed Artificial Intelligence Research (DAIR) to develop ethical AI, counter the influence of Big Tech in research and development of AI and increase the presence and inclusion of black researchers in the field of AI. The case discusses Gebru’s journey in creating DAIR, the goals of the organization and some of the challenges she could face along the way. As Gebru seeks to increase diversity in the field of AI and reduce the negative impacts of bias in the training data used in AI models, the challenges before her would be to develop a sustainable revenue model for DAIR, influence AI policies and practices inside Big Tech companies from the outside, inspire and encourage more women to enter the AI field and build a decentralized base of AI expertise.
Complexity academic level
This case is meant for MBA students.
Social implications
Teaching Notes are available for educators only.
Subject code
CCS 11: Strategy
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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…
Abstract
Theoretical basis
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.
Research methodology
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.
Case overview/synopsis
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.
Complexity academic level
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.
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Syeda Maseeha Qumer and Syeda Ikrama
This case is meant for MBA students as a part of their leadership/information technology and system curriculum. It is suitable for classes in both offline and online mode.
Abstract
Study level/applicability
This case is meant for MBA students as a part of their leadership/information technology and system curriculum. It is suitable for classes in both offline and online mode.
Subject area
Human resources management/information technology and systems.
Case overview
The case discusses how Poppy Gustafsson (Gustafsson) (she), Cofounder and Chief Executive Officer of Darktrace plc, one of the world’s largest cyber-AI companies, is reinventing enterprise security by using artificial intelligence (AI) to detect and respond to cyberthreats to businesses and protect the public. Darktrace’s technology leverages the principles of the human immune system to autonomously defend organizations from cyberattacks, insider threats and AI warfare. In addition to leading a cutting-edge cybersecurity company, Gustafsson evangelizes gender diversity at Darktrace where 40% of employees and four C-level executives are women, a number nearly unheard of in the tech sector.The case chronicles the journey of Gustafsson and how she led the company to growth and success. Under her leadership, Darktrace has grown into a market leader in the AI cybersecurity space serving 5,600 customers in 100 countries, as of June 2021. Gustafsson not only redefined the cybersecurity space but also inspired women to pursue a career in the field of cybersecurity. She also collaborated with a social enterprise called WISE to encourage more girls to consider STEM careers.However, along the way, she faced several challenges including growing competition, procuring funds from investors, cybersecurity talent shortage and training personnel. Going forward, some of the challenges before Gustafsson would be to meet the changing cyber protection demands of customers; hire, train and retain highly skilled cybersecurity personnel; beat the competition in a saturated cybersecurity services space; sustain revenue growth; and post profits as Darktrace had incurred losses every year since its inception.
Expected learning outcomes
This case is designed to enable students to: understand the issues and challenges women face in the field of cybersecurity; understand the qualities required for a woman leader to lead a technology firm; study the leadership and management style of Gustafsson; understand the importance of transformational leadership in management; understand the role of Gustafsson in Darktrace’s growth and success; analyze the traits that Gustafsson possesses as a tech leader in an emerging cybersecurity space; understand the importance of gender diversity in cybersecurity; and analyze the challenges faced by Gustafsson going forward and explore ways in which she can overcome them.
Subject code
CSS: 11 Strategy.
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After completion of the case study, students will learn to use Lean Canvas to identify business opportunity. They will also learn the balancing of exploitation of profit-producing…
Abstract
Learning outcomes
After completion of the case study, students will learn to use Lean Canvas to identify business opportunity. They will also learn the balancing of exploitation of profit-producing activities and exploring new opportunities according to the environmental dynamism.
Case overview/synopsis
WONK, a tutor discovery and booking app was launched by MyEdge in 2016 to search and book verified tutors in locations served by the company. Based on their requirements, parents and students could sort and book verified tutors in their area. Through the app, users could search for academic and hobby classes in the form of individual tuitions. The ease of use and the service offering made it a popular app with students enrolling every 6 min. Within a span of six years, WONK had provided services to thousands of students in 20+ countries and had 200,000+ tutors registered on their app from 15,000+ pin codes. Despite a plethora of Edtech companies in India, a different business model and services offered gave them an edge over other Edtech companies. To keep up with the customer needs, they were constantly making the upgrades to their technology and expanding their services. Vidhu Goyal, the founder of the company, was enjoying the progress when another development in the technology hit the world. With the launch of applications based on artificial intelligence, will it disrupt the business or not?
Complexity academic level
The case study is recommended to be taught in a 90-min class to Master of Business Administration students. The case study may be used in courses related to strategy, information systems management and entrepreneurship.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 11: Strategy.
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Mohanbir Sawhney and Pallavi Goodman
After a successful transition from a projects-based IT business services company to a platform-driven analytics company, Saama's core leadership team gathered in 2017 to…
Abstract
After a successful transition from a projects-based IT business services company to a platform-driven analytics company, Saama's core leadership team gathered in 2017 to brainstorm the next phase of its growth. The year before, the team had decided to narrow its target market to the life sciences vertical. Saama now had to decide how to execute on this focused strategy by choosing a growth pathway within the life sciences vertical. Saama's leadership team was considering three alternatives: acquiring new customer accounts, developing existing customer accounts, or developing new products by harnessing artificial intelligence (AI) and blockchain technologies. The team had to evaluate these growth pathways in terms of both short- and long-term revenue potential, as well as their potential for sustaining Saama's competitive advantage.
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Deepa Kumari and Ritu Srivastava
The learning outcomes are as follows:1. enable students to appreciate how a platform company can navigate through diminishing network effects;2. enable students to foresee the…
Abstract
Learning outcomes
The learning outcomes are as follows:
1. enable students to appreciate how a platform company can navigate through diminishing network effects;
2. enable students to foresee the downside of scaling up a platform business;
3. enable students to appreciate the trade-off between an efficiency-centric and a novelty-centric business model for platform businesses; and
4. enable students to create a platform business model canvas for a company.
Case overview/synopsis
The teaching case discusses the dilemma of Akshay Chaturvedi, the founder of Leverage Edu, an artificial intelligence-enabled platform for students seeking admission to foreign universities. It had received nearly US$9.6m in funding until December 2021.
Chaturvedi wanted to make the best use of his funds, but was torn between turning Leverage Edu into an “efficient platform” and transforming it into a “novelty-centric platform”. The teaching note attempts to resolve Chaturvedi’s dilemma by analyzing competitors using the platform canvas model and determining how Chaturvedi could create and use network effects to Leverage Edu’s advantage. The case is based on secondary data that is freely available in the public domain.
Complexity academic level
This case is intended for MBA Entrepreneurship students taking a platform business elective. It can also be used in faculty and management development programs under the banner “Technology and Platform Businesses”.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 3: Entrepreneurship.
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The case is presented as descriptive in nature and primarily involves exploratory research.
Abstract
Research methodology
The case is presented as descriptive in nature and primarily involves exploratory research.
Case overview/synopsis
Ashraf, a young graduate from Bangalore, India, started a chain of lifestyle shops, his family business in Khartoum, Sudan. To modernize the shops, Ashraf approached a small finance bank for financial assistance. However, after submitting the required documents and with a good credit score, he was denied a loan. The bank officials had mentioned that the loan automation software did not approve the application. Hence, the bank personnel said that they could not do anything further. Disappointed, Ashraf sought the help of his professor, John, to understand why the software rejected his application. Professor John explained to Ashraf the advantages and disadvantages of automation. In the process, Ashraf understood the significance and compelling need to address “Algorithm Bias,” a situation in which specific attributes of an algorithm cause unfair outcomes. The case place students in Ashraf’s position to help them understand the advantages and issues of applying automation through artificial intelligence.
Complexity academic level
The case suits graduate-level courses like business analytics, financial analytics and business intelligence.
Learning objectives
Through the case, the students will be able to: Understand the role of algorithms in business and society. Understand the causes, effects and methods of reducing algorithm bias. Demonstrate the ability to detect algorithm bias. Define policies to mitigate algorithm bias.
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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…
Abstract
Research methodology
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.
Case overview/synopsis
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.
Complexity academic level
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.
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Siew Yean Tham, Soo Khoon Goh and Ai Ping Teoh
(i) To determine the push and pull factors for a developing country SME to internationalize via exports. (ii) To evaluate the use of social networks in the internationalization…
Abstract
Learning outcomes
(i) To determine the push and pull factors for a developing country SME to internationalize via exports. (ii) To evaluate the use of social networks in the internationalization journey of Yew Chian Haw (YCH). (iii) To analyse how a developing country SME adapts to local conditions in order to sustain and grow the business in a foreign country.
Case overview/synopsis
Yew Chian Haw (YCH) was a small and medium enterprise (SME) producing herbal and healthcare products in Penang, Malaysia. This case study traced the company's internationalization journey, focusing on how the owner used his social networks based on common ethnic ties and language to penetrate the external markets by establishing trading companies in each of his export destinations, from Singapore to Hong Kong and later to Taiwan and China. These internationalization activities also helped him cultivate deeper local networks and enhance his business opportunities in each investment destination. The social network approach has important implications for SME firms such as YCH. The network strength helped to overcome entry barriers to foreign markets and enabled YCH to tap into local complementary resources such as local networks to sustain the internationalization process. Yew’s successful internationalization journey prompted him to focus on the external market for his company’s herbal soup products. But now he must decide whether to continue the internationalization journey in the existing external markets he has penetrated or to expand towards other markets such as Northeast Asian markets like Japan and Korea, as these countries have high income and purchasing power. However, Yew has no extensive social network in both countries, especially in terms of ethnic ties and common language. Yew therefore, had a dilemma: should he just continue expanding the existing external markets he has successfully penetrated, or should he move forward and seek to enter new markets where his current social networks may be weak or non-existent?
Complexity academic level
This case study is relevant for DBA, MBA, Master and undergraduate (International Business and Business Economics) students
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 5: International Business
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