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Case study
Publication date: 5 December 2023

Juan Ernesto Perez Perez

Upon completion of the case study, the students will be able to analyze the brand equity construct through the associative neural network model for decision-making; identify…

Abstract

Learning outcomes

Upon completion of the case study, the students will be able to analyze the brand equity construct through the associative neural network model for decision-making; identify prospective scenarios through the Delphi method for the construction of strategic plans in organizations; and propose the innovation of a product by applying creativity techniques to enter international markets.

Case overview/synopsis

Cafe Galavis was one of the leading family businesses in industrial development and had the highest business recognition, with a century of experience in producing and commercializing roasted and ground coffee in Cucuta, Colombia. In 2015, the diplomatic crisis between the governments of Colombia and Venezuela led to the indefinite closure of the Colombian–Venezuelan border, which caused an increase in income from smuggled coffee. In addition, the presence of different competitors and traditional brands negatively impacted the level of sales, which considerably affected financial stability. Likewise, internal difficulties of family nature and administrative management led to the change of senior management. By 2016, Juan Yáñez was appointed chief executive officer (CEO) and was in charge of avoiding the company’s closure. In January 2023, he received feedback from his consulting team, and upon evaluation of the new market challenges with his collaborators, he realized a great challenge that merited the search for a priority alternative solution. How to design a new product considering the loss of brand identity in the face of the generational change of its consumers? These were some of the challenges posed by the CEO that consequently required starting a strategic management process of innovation.

Complexity academic level

The teaching case is aimed at students of postgraduate academic programs in the areas of knowledge of innovation, product design, industrial design, marketing or MBA. In the modules of marketing, strategic management, brand management and strategic foresight, the case allowed for the orientation of the concepts of brand value or branding as well as the analysis of the value chain for the implementation of strategies that promote competitive advantages of companies. Similarly, in the modules of product or service design, creativity and innovation and complex thinking, the case allows one to approach a complex problem and apply creativity techniques for its solution.

Supplementary material

Teaching notes are available for educators only.

Subject code

CSS: 8 Marketing.

Details

Emerald Emerging Markets Case Studies, vol. 13 no. 4
Type: Case Study
ISSN: 2045-0621

Keywords

Case study
Publication date: 12 January 2022

Juan Ernesto Perez Perez

An interview was conducted with the general manager and semi-structured interviews with Likert scale to the main clients, collaborators and suppliers to establish the key…

Abstract

Research methodology

An interview was conducted with the general manager and semi-structured interviews with Likert scale to the main clients, collaborators and suppliers to establish the key competencies of the firm. Secondary information was collected through the organization’s historical and strategic documents.

Learning outcomes

At the end of the case study, students will be able to learn international marketing, innovation, strategic management, international business strategy; analyze the brand equity construct through the associative neural network model for decision-making; determine the internationalization strategy using the dual pressures model and sources of competitive advantage for international marketing management; and propose the innovation of a product by applying creativity techniques or innovation models to enter international markets.

Case overview/synopsis

Café Galavis is a family business leader in the production and commercialization of roasted and ground coffee for 103 years in Colombia. The new chief executive officer recovered the financial stability during his management during the period from 2015 to 2019, implementing internationalization processes. However, the sanitary crisis caused by the COVID-19 pandemic in 2020 in Colombia, generated an economic recession, which led to a decrease in coffee consumption. How to innovate in the development of a product or service in times of pandemic? What internationalization strategy implement? These are the challenges that the new management and its collaborators will confront.

Complexity academic level

The teaching case is aimed at students of postgraduate academic programs in areas Management or MBA. In the modules of Marketing the case allows the orientation of the concepts of brand equity or branding. Likewise, in the modules of International Management, the definition of the internationalization strategy through the analysis of dual pressures and sources of competitive advantage. Finally, in the modules of Innovation different methodologies or techniques for innovation can be applied such as: SCAMPER, Design thinking or the Stage Gate Model.

Supplementary materials

Teaching notes are available for educators only.

Subject code

CSS 5: International Business

Details

Emerald Emerging Markets Case Studies, vol. 12 no. 1
Type: Case Study
ISSN: 2045-0621

Keywords

Case study
Publication date: 17 November 2017

Anton Ovchinnikov and Scotiabank Scholar

This case, along with its B case (UVA-QA-0865), is an effective vehicle for introducing students to the use of machine-learning techniques for classification. The specific context…

Abstract

This case, along with its B case (UVA-QA-0865), is an effective vehicle for introducing students to the use of machine-learning techniques for classification. The specific context is predicting customer retention based on a wide range of customer attributes/features. The specific techniques could include (but are not limited to): regressions (linear and logistic), variable selection (forward/backward and stepwise), regularizations (e.g., LASSO), classification and regression trees (CART), random forests, graduate boosted trees (xgboost), neural networks, and support vector machines (SVM).

The case is suitable for an advanced data analysis (data science, machine learning, and artificial intelligence) class at all levels: upper-level business undergraduate, MBA, EMBA, as well as specialized graduate or undergraduate programs in analytics (e.g., masters of science in business analytics [MSBA] and masters of management analytics [MMA]) and/or in management (e.g., masters of science in management [MScM] and masters in management [MiM, MM]).

The teaching note for the case contains the pedagogy and the analyses, alongside the detailed explanations of the various techniques and their implementations in R (code provided in Exhibits and supplementary files). Python code, as well as the spreadsheet implementation in XLMiner, are available upon request.

Details

Darden Business Publishing Cases, vol. no.
Type: Case Study
ISSN: 2474-7890
Published by: University of Virginia Darden School Foundation

Case study
Publication date: 15 November 2019

Mohanbir Sawhney, Birju Shah, Ryan Yu, Evgeny Rubtsov and Pallavi Goodman

Uber had pioneered the growth and delivery of modern ridesharing services by leveraging the explosive growth of technology, GPS navigation, and smartphones. Ridesharing services…

Abstract

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.

Details

Kellogg School of Management Cases, vol. no.
Type: Case Study
ISSN: 2474-6568
Published by: Kellogg School of Management

Keywords

Case study
Publication date: 11 December 2023

Padhmanabhan Vijayaraghavan and Frederick Sidney Correa

After completion of the case study, students will be able to describe the crisis types and the various phases in mapping a crisis and outline appropriate actions during each…

Abstract

Learning outcomes

After completion of the case study, students will be able to describe the crisis types and the various phases in mapping a crisis and outline appropriate actions during each phase; identify stakeholders in the context of change management initiatives and map them through their power, influence and interest needs; identify the needs and resistance present in change management initiatives through the systems-thinking perspective; recognize the leadership competencies for an effective crisis management approach; and identify the way to conduct challenging conversations with important stakeholders whose support and influence are required.

Case overview/synopsis

Stella Fernandez, the vice president of human resources management in a family-managed business organization, was disturbed by the media reports on rising number of cases of COVID-19 infection in India during the first week of March 2020. She thought that a continued rise in the number of infection cases could affect the business continuity as well as the safety of the employees. In her opinion, a faster introduction of a work-from-home policy could help to reduce the impact of the potential crisis. Fernandez understood that without the senior management team’s consent, she could not drive the information technology team to implement the work-from-home measure. However, she felt that there could be challenges in convincing the senior management team, who did not treat this outbreak to be of grave importance. Anticipating the unfavourable reaction, Fernandez planned her approach carefully by identifying and convincing influential members to support this change management initiative; nevertheless, to her dismay, her meticulous plan failed to convince the powerful members of the team, who continued to resist the change proposed by her. Disappointed and surprised by their reaction, Fernandez wondered what she could have done to make the senior management team to accept her proposal.

Complexity academic level

This case study is designed for use in undergraduate- or graduate-level programmes.

Supplementary material

Teaching notes are available for educators only.

Subject code

CSS 6: Human resource management.

Details

Emerald Emerging Markets Case Studies, vol. 13 no. 4
Type: Case Study
ISSN: 2045-0621

Keywords

Case study
Publication date: 17 October 2012

Japhet Gabriel Mbura

This case study intends to add knowledge and understanding of supply chain management particularly with respect to international logistics.

Abstract

Subject area

This case study intends to add knowledge and understanding of supply chain management particularly with respect to international logistics.

Study level/applicability

The case study can be used in both undergraduate and postgraduate levels. Students pursuing Master of Science in Logistics, Supply Chain Management and those doing bachelor degrees in the same areas can have a better insight and special interest of the case. Professional boards may also use the case to empirically make students understand this area.

Case overview

The railway sub-sector in East Africa – Tanzania in particular – is an important transport mode but has a declining performance. The market share is estimated at only 4 percent of the freight market. Still knowledge about traffic, particularly for freight, is scant. The main dilemma is whether traffic of the central corridor is more intra- or inter-Tanzania. The case studies techniques appropriate for meaningful traffic forecasting and through a simple regression model it resolves the freight conflicts between Kenya rail and the Central Corridor. It provides students with applied traffic forecasting tools.

Expected learning outcomes

The case focuses on techniques of traffic forecasting, development of traffic scenarios and on issues related to intermodal transport especially between road, rail and ocean. At the end of using this Case students should be able to: explain the methods, techniques and models used in traffic forecasting; understand intermodal linkages in international Logistics; use different approaches to make logistics market assessment; and forecast traffic in all modes using different scenarios.

Supplementary materials

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

Case study
Publication date: 15 February 2022

Saad Tahir and Asher Ramish

This case study aims to be taught at an MBA level. Specifically, those students who are majoring in supply chain would benefit the most from this case study. This case study has…

Abstract

Learning outcomes

This case study aims to be taught at an MBA level. Specifically, those students who are majoring in supply chain would benefit the most from this case study. This case study has elements of supply chain management, supply chain strategy, warehousing and logistics, and a digital supply chain for Industry 4.0. The learning outcome of this case study could be seen if the students are able to identify the challenges and opportunities of a digital supply chain for Industry 4.0 and how it could be implemented methodically. Teaching Objective 1: Students should be able to identify what challenges organizations face if they implement a digital supply chain for Industry 4.0. Teaching Objective 2: Students should be able to identify what opportunities can be tapped if Big Data Analytics are used in a supply chain teaching. Objective 3: Students should layout a methodical plan of how an analogue company can gradually achieve the objective of implementing a digital supply chain for Industry 4.0 in procurement function.

Case overview/Synopsis

Based in the Lahore region of Pakistan, Xarasoft is a footwear manufacturing company which has undertaken a decision to transcend to a digital supply chain for Industry 4.0 by 2027. Asif, who is the Head of the Department of Supply Chain, has to come up with a plan to present in the next meeting with the CEO. Xarasoft is a company that preferred to work in an analogue routine. The company set production targets and sold goods through marketing. With no forecast or exact demand, the company had decided to procure 140 million units of raw material and carrying a huge inventory, a percentage of which had to be thrown away as it started to degrade. While the company did have machinery on the production floor, they were operated manually and were a generation behind. Asif faced the question of what challenges he would face and exactly how would a digital supply chain for Industry 4.0 be implemented in the company.

Complexity academic level

Masters level supply chain courses

Supplementary materials

Teaching notes are available for educators only.

Subject code

CSS 9: Operations and Logistics.

Case study
Publication date: 7 June 2021

Muralee Das and Susan Myrden

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.

Details

The CASE Journal, vol. 17 no. 2
Type: Case Study
ISSN: 1544-9106

Keywords

Case study
Publication date: 24 August 2022

Zanele Ndaba, Clare Mitchell and Nomonde Ngxola

This case study aims to ensure that, students should be able to recognise the behaviours that influence the in-member out-member categorisation that transpires in the workplace…

Abstract

Learning outcomes

This case study aims to ensure that, students should be able to recognise the behaviours that influence the in-member out-member categorisation that transpires in the workplace, both from the leader’s perspective and that of the followers; determine and understand the relevance of forming interpersonal relationships in the workplace and that interpersonal relationships create fundamentally positive or negative work experiences and impact on career opportunities in the workplace; gain an understanding of the internal bias and subjective comfort that leaders must actively overcome to establish an environment in which the entire team becomes in-group members; and be able to assess the contextual variables that contribute to the negative or positive aggravation of the leader–member exchange.

Case overview/synopsis

It was 16 October 2014, and Nonkululeko Gobodo, Executive Chair of accounting firm SizweNtsalubaGobodo, was looking to her younger sister, Notemba Dlova, for emotional support, as she sought to address an important issue that was on the agenda of the firm’s board of directors’ meeting the following day. Tensions between her and Victor Sekese, Chief Executive Officer of the firm, were mounting, and a number of the directors were unhappy with the status quo. “How do you think I should address the issue?” she asked Dlova. Both sisters knew that at stake was Gobodo’s future at the firm she had battled so hard to build up in the face of racial and gender stereotypes.

Complexity academic level

The case study is appropriate for use in a range of postgraduate courses aimed at Master’s in Management and Master of Business Administration (MBA)-level students. It is also suitable for use in postgraduate diplomas in business and executive education short courses.

Supplementary materials

Teaching notes are available for educators only.

Subject code

CSS 6: Human Resource Management.

Case study
Publication date: 9 November 2023

Sonal Purohit

The learning outcomes of this case study are as follows: to understand the concept of social commerce and how it is different from e-commerce business, to discuss the unique…

Abstract

Learning outcomes

The learning outcomes of this case study are as follows: to understand the concept of social commerce and how it is different from e-commerce business, to discuss the unique features of Meesho’s social commerce model, to understand concepts of entrepreneurship (e.g. addressing the gap through business, pivoting), to understand the dynamics of online grocery market and e-commerce market and to apply business strategy concepts to make recommendations.

Case overview/synopsis

This case study presents Meesho, an organization in social commerce in India. Meesho was founded by Indian Institute of Technology graduates Vidit Aatrey and Sanjeev Barnwal in the year 2015 to help the small business owners with online selling. It was initially launched as an app that connected local retailers to the customers. Owing to low customer interest and low profit margins, they pivoted the business to a reseller app that facilitated the individuals and small retailers to resell the wholesalers’ products (unbranded and long-tail products) to the customers on social media channels. However, the tough competition from other start-ups in social commerce and retail giants such as Amazon and Flipkart who targeted the same customers impacted their growth. After receiving a funding of US$300m, the founders were considering if they should enter the e-commerce market and directly compete with giants such as Amazon and Flipkart or extend the product line to the online groceries market and compete with dominant players such as BigBasket and Blinkit. Through this case study, the students could be provided an opportunity to evaluate a situation, apply the strategic management concepts and make a recommendation on the strategic plan.

Complexity academic level

The case study can be taught in the business and strategy courses at the graduate and postgraduate levels in business schools. It is also suitable for the entrepreneurship course with focus on e-commerce start-up and sustainability, which is also taught at the MBA level. This case study can also be used in executive development programs for abovementioned courses.

Supplementary materials

Teaching notes are available for educators only.

Subject code

CSS 11: Strategy.

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