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After working through the case, the students should be able to understand Indian political economy and the brand building process of NaMo; identify the media mix strategies used to build the brand NaMo in India; evaluate possible future growth strategies for brand NaMo; and compare and contrast brand NaMo with business brands.

Narendra Modi popularly called as NaMo was the current Prime Minister of India. He belonged to Bhartiya Janata Party (BJP) which won India’s general elections in two consecutive terms 2014 and 2019. NaMo was recognised worldwide for his prudence in leading the country to greater heights of achievement. NaMo started his political journey as the worker of BJP at a tender age. His rise in political career was akin to flagship brand overtaking the parent brand. All the steps taken in the past to position himself as a cult brand, will it fortify to NaMo’s victory in 2024 general elections? Business firms may follow NaMo’s strategies. What can the business brands emulate from NaMo to market and position themselves? Can political success be transpired to business success?

This case is designed for use in a graduate-/postgraduate-level marketing course in segments on brand management, brand expansion and the marketing strategies of a market leader. The case can also be used in a brand management course to discuss brand management models (e.g. Keller’s brand resonance pyramid and brand value chain). This case has particular application for classes that focus on brand equity, STP for any brand (segmentation, targeting and positioning) and brand value chain. The case looks in detail at the Indian political market and brand building process of NaMo and examines competitive moves since its inception. This case can be used in brand management, media management courses. The dilemma can be explained as part of a marketing course for postgraduate and executive programmes.

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

CSS 8: Marketing.

On a fine afternoon in January 2015, Divakar Kaza, President, Human Resources, at Lupin Ltd., took a sip of coffee from his cup, and shared the good news he had just received, with Rituraj Sar, head of Learning & Development. Lupin had just won the ‘Outstanding Company of the Year’ Award at the CNBC-TV18 India Business Leadership Awards, 2014-15¹. The accomplishment was heartening, given that it reinforced similar recognitions in the recent past. Lupin had won the NDTV Business Leadership Award for the Indian Pharmaceutical Company of the year in 2012, backed up by the same acclaim in 2010 by Frost & Sullivan².

With the development of inclusive financial business in China in recent years, this case describes the credit risk control of “mobile credit”, a smart online credit platform launched by Shanghai Mobanker Co. Ltd. (referred to as “Mobanker”, previously named as “Shanghai Mobanker Financial Information Service Co., Ltd.”) which provides technical services for inclusive finance industry.

In April 2012, JPMorgan Chase & Company was struggling with large losses that had the potential to damage the reputation of the company, of its Chairman, Jamie Dimon, and of its Chief Investment Officer, Ina Drew. The losses arose from large credit derivative trades in the London office that Dimon described as “bad strategy … badly executed … poorly monitored”.

Faeyee Electronics was an electronics company that manufactured and sold smartphones including XS and XT types. The management of Faeyee wanted to pursue the maximum contribution margin as much as possible, especially since they were faced with limited resources. It was necessary to apply analytical tools and cost accounting concepts to study this case including cost-volume-profit analysis, learning curve analysis, regression analysis, definitions of competitive products, constrained non-linear optimization, and contribution margin.

The case uses business analytics tools and cost accounting concepts, including regression models and constrained optimization approaches, to study how to maximize business outcomes, such as contribution margin and profits when limited business resources are available. The company and individuals are disguised.

This case can be used in any junior-, senior-, masters- or MBA-level managerial accounting course. Students need to have at least one course of introduction to statistics or instructors review required statistics concepts or techniques before assigning this case. Students are exposed to the challenges of deriving learning curve models, using regression analysis to study collected data and allocating limited resources to maximize contribution margin.

Learning outcomes are as follows: understanding the importance of aligning an entrepreneur’s personal orientation and values (e.g. detachment from the enterprise) with business decisions related to enterprise development; appreciating how prior exposure to business settings can be a source of entrepreneurship pursuits for an entrepreneur; and understand whether a different type of leadership can be instrumental in the creation, running and growth of an entrepreneurial venture, especially in terms of introducing differentiated offerings in the target market.

The case is about an entrepreneur, Sangeeth Varghese, with a very humble and conservative background, who worked in various firms, small and large, and become a young global leader at World Economic Forum, before foraying into entrepreneurship. He is driven by the core values of detachment and democratization, which is reflected throughout his life course and has developed his own views on leadership. After running his first venture LeadCap Ventures with some measure of success, Sangeeth is about to launch his new venture LeadBurg, a web- and mobile-based application for behavioral rating and competency discovery for individuals. The predicament for Sangeeth is about the uncertainties related to the new launch from a business perspective, as well as the concern whether the core principles of democratization and detachment that he identified with, would stand the test in this launch.

Master level program (e.g. MBA).

Teaching Notes are available for educators only.

CSS 3: Entrepreneurship.

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.

Greg Mills describes his search for the perfect engagement ring which includes an analysis of the prices of 6,000 diamonds. An engineer, Greg hopes to impress Sarah Staggers by using regression to find an underpriced diamond. Students are asked to either select one of the 6,000 diamonds or provide point forecasts for prices of 3,142 diamonds in a hold-out sample. The instructor can use the actual prices of the held-out diamonds to evaluate student pricing models.

Post analysis of the case study, students will be able to comprehend the significance of Six Sigma and its integration with the human resources (HR) processes in the service sector. Post case study discussion, students will be able to: examine the HR processes of ISOQAR (India) and deduce the reasons to seek change in their approach; validate the importance of integrating Six Sigma in the human resource management (HRM) framework of an organization; and categorize the difficulties encountered while implementing Six Sigma in the service sector compared to those in a manufacturing environment.

In September 2006, four senior employees of an audit firm made the decision to start their own venture. They identified a gap in a sizable and fiercely competitive auditing industry. Nishid Shivdas, Suhas Risbood, Shiv Prakash Bhutra and Burgis Bulsara, co-founders of ISOQAR (India), had distinct leadership experiences that drove the organization to concentrate on developing a broad range of services, with a focus on management consulting, training and audit services. They created a distinctive positioning in market in a short span and reported growth by building strong customer relationships, providing high-quality service and personalized attention to individual clients and meeting deadlines. The wide gamut of services included areas such as the payment card industry, data security standard, information security management systems, business continuity management, service management systems, food safety management system, Responsible Jewellery Council certification services, retail audit services and risk assessment services. They concentrated on collaborating with UKAS for their accreditations. The focus on offering great services with faster response times, a varied array of services and the expertise of its founders let them to price their services at par with some of its competitors, and even higher in few cases. It did not have a large support staff; however, the ones they had were multifaceted, both full time and contractual. Being in the service industry, the founders realized that to maintain growth as the firm aims to grow geographically, their heavy engagement in the existing operations would have to give way to more standardized processes in general and HR in particular. Ensuring the integration of the current workforce to the Six Sigma framework presented challenges.

This case is designed for second-year students enrolled in Master of Business Administration/Post Graduate Diploma in Management (MBA/PGDM) or equivalent postgraduate-level programmes, in the domain of “Human Resource.” It will enable the students to engage with the significance of “Six Sigma” being used in various processes in the HRM framework. It can also be taught to students in the domain of Marketing because of its relevance to the service sector.

Teaching notes are available for educators only.

CSS 6: Human Resource Management.

This is a case of a crisis project management which showcases the unpredictable nature of the project and the role of management in handling the crisis. It is the case of a very severe cyclonic storm hitting the city of Visakhapatnam plant during October, 2014. The whole city was devastated and so was the situation in the Steel plant as it was under zero power conditions for around 10 days. This case gives need for managing an integrated steel plant in case of very severe cyclonic storm and documents the sequence of events and managing unforeseen uncertainty using NTCP concepts.