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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.

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.

Masters level supply chain courses

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CSS 9: Operations and Logistics.

The subject area is international business and global operations.

The study includes BSc, MSc and MBA students and management trainees who are interested in learning how an industry can be assessed to make a decision on market entry/expansion. Even senior management teams could be targeted in executive education programs, as this case provides a detailed procedure and methodology that is also used by companies (multinational corporations and small- and medium-sized enterprises) to develop strategies on corporate and functional levels.

A group of five senior executive teams of different Swiss luxury and lifestyle companies wanted to enter the Middle East market. To figure out the optimal market entry and operating strategies, the senior executive team approached the Head of the Swiss Business Hub Middle East of Switzerland Global Enterprise, Thomas Meier, in December 2012. Although being marked with great potential and an over-proportional growth, the Middle Eastern luxury market contained impediments that international firms had to take into consideration. Therefore, Thomas had to analyze the future outlook for this segment of the Middle East retail sector to develop potential strategies for the five different Swiss luxury and lifestyle companies to potentially operate successfully in the Middle East luxury and lifestyle market.

The study identifies barriers and operations challenges especially for Swiss and other foreign luxury and lifestyle retailers in the Middle East, understands the future (2017) institutional environment of the luxury and lifestyle retail sector in the Middle East and applies the institutions-resources matrix in the context of a Swiss company to evaluate the uncertainties prevailing in the Middle East luxury and lifestyle retail sector. It helps in turning insights about future developments in an industry (segment) into consequences for the corporate and functional strategies of a company.

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CSS 5: International Business.

Management of Innovation and Technology/Management Information Systems.

Information Systems.

SER (Sugar, Energy & Rum) was a company belonging to the Grupo Pellas Corporation. The company operated in four countries, had six subsidiaries, employed more than 25,000 people, had more than 43,500 manzanas of sugarcane crops in Nicaragua alone and had global annual sales of more than US$400m. In 2008, due to the negative effects of the crisis on the company’s business model (increasing costs due to higher prices for fuel and decreasing income because of low international sugar prices), the company decided to implement a business intelligence (BI) system to optimize its processes to reduce costs and increase productivity. At that time, the company had more than 100 years of data, information systems that fed into their main business processes and a culture that appreciated data as the basis for decision-making. However, there were inconsistencies among data systems, users received highly complex reports in Excel or green screens and process monitoring happened long after the tasks had been completed. As a response, SER used extract–transform–load to collect and clean data that would be used in the BI system (the case leaves the questions regarding the systems selection unsolved for discussion). Based on their business model, they selected the most critical processes and defined key performance indicators to measure the impact of changes in those processes. They considered graphic design as a tool to make the system more accepted by users and worked together with users so that reports only offered the most important information. The result was improved costs and productivity. They decreased manual time spent by 14 per cent, automated time spent by 10 per cent, and eliminated 1,556 hours of dead time for equipment in the field, which allowed them to increase productivity by US$1m just in sugar. They saved 20,000 trips from the fields to the factories, which represented more than US$1m in savings by monitoring the weight of wagons loaded with sugarcane in real time. They improved client perceptions about the company both locally and internationally by implementing a sugar traceability system.

The case “Business Intelligence at the Grupo Pellas SER Company” has as its objective to respond to the question: How does a company make its BI system implementation successful? As such, the case: Discusses what a BI system is and what it provides to a business analyses challenges, benefits and context when implementing a BI system; analyses success factors and recommendations in the BI system implementation process; analyses the process of implementing a BI and highlights the importance of the system priority questions and technological alternatives.

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CSS 11: Strategy

Public Sector Management and Strategy

This case will be useful for courses in information technology (IT) innovation, public–private partnership (PPP) and strategic management. However, the use of the case will differ on the basis of the target audience who could be students of master's course or executive development course. Detailed discussion can be done on co-innovation strategy followed in a public–private partnership and to understand how a PPP can be successful in enterprise solutions. Further, the understanding on how e-procurement and e-tendering solutions work can be gained through this case. This case should be positioned when the discussion for the planning strategy of IT innovation takes place.

SAP was a market leader in enterprise application software and empowered people across the globe to work more efficiently. The e-procurement solution for OILGIAN was managed by SAP LABS India. OILGIAN entrusted SAP with the task to design and implement the e-tendering solution. SAP appointed Ramakrishna Potluri, Lead Consultant, SAP, to manage the design and implementation of the e-tendering module as a part of e-procurement solution for the public sector. The reporting and the security concerns were stated by OILGIAN, and Potluri reassured that his competent team would comply with the needs. The main predicaments that he was going through were that how best he could take the proposition forward. Should he create the innovative solutions in-house or co-create with the customers? Which business models should he follow for this public–private co-innovation to be a predecessor of successful projects?

The case illustrates the following objectives: to discuss the co-innovation strategy followed in a public–private partnership; to understand how a public–private partnership can be successful in enterprise solutions; and to understand how e-procurement and e-tendering solutions work.

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

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.

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.

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.

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Case can be taught at the undergraduate or postgraduate level, including executive Master of Business Administration programs.

This case is intended for courses in strategic management, entrepreneurship and innovation at the undergraduate or postgraduate level.

The case is about challenges faced by Linda Portnoff, the Co-founder and Chief Executive Officer of Riteband, a Sweden-based fintech startup. In March 2020, Portnoff was conducting beta testing of Riteband’s app, which experts considered the world’s first stock exchange for music trading. After completing a PhD, Portnoff who was working as a Research Analyst, left her job to pursue entrepreneurship. Through Riteband, Portnoff helped to resolve pain points of artists who were forced to give the copyright of their music tracks or albums to distributors, in lieu of funds or promotional campaigns that distributors arranged for them. Portnoff invested in developing a patent-pending machine learning-based algorithm that based on several parameters could predict the likelihood of a music track or an album to become a success. Based on this prediction and royalty that artists were interested in sharing with fans, shares were issued to investors, who were also fans of the artists. As Portnoff identified an innovative business opportunity to trade music on a stock exchange based on Riteband’s machine learning algorithm, competition in Riteband’s strategic group was also becoming intense. Consequently, Portnoff was facing challenges of establishing competitive advantage of Riteband. Furthermore, as women in general faced challenges in raising funds for their startups, and even though Portnoff obtained some funding for Riteband, but overall, funding was a challenge for her as well. Moreover, as machine learning was a technical aspect for artists and potential investors, Portnoff also faced challenges to monetize on its machine learning algorithm.

By the end of the case study discussion, students should be able to: understand the principles of cross-industry innovation and explain the creation of new business opportunities based on cross-industry innovation; differentiate between direct and indirect competitors through strategic group analysis and further critically analyze the competitive advantage of business over other direct competitors; determine ways of reducing gender biases in venture capital funding; describe how machine learning works and further formulate ways to monetize a business through machine learning; and demonstrate the application of the value proposition canvas and business model canvas.

CSS 3: Entrepreneurship; CSS 11: Strategy.

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.

Management, Information technologies.

Courses at the senior university level in social and organizational sciences.

This case aims to observe modes, levels and specific problems in application of information technologies in informing, information sharing and collaboration as important aspects in ensuring quality in control of the processes that occur at school. Some deficiencies in application of information technology within these processes have been identified and alternatives to solving them have been offered. The discussion concerning the solutions was performed according to the parameters that were singled out as important in the analysis of the problems. A school that is recognized in Zlatibor region and elsewhere in Serbia for its advanced development tendencies was selected for the case study. The proposed solutions are practically applicable in any work collective.

Modern management strategy in education; the importance of process management in insuring quality of whole management system; the importance of implementation of modern information technologies in school management system.

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The case was written using information and data from secondary sources. It describes real people and the situations experienced by them. It does not use any fictitious names, scenarios or organizations.

The case study “Melanie Perkins: Poised to Redesign Canva from Tech Unicorn to Tech Giant?” describes the entrepreneurship journey of Melanie Perkins (she) (Perkins), the CEO of Australia-based tech unicorn and graphic design company, Canva Pty Ltd. (Canva). The case starts with a brief look into Perkins’ background and documents her entrepreneurial spirit, which, at the age of 19, led her to identify a hitherto unserved market (yearbooks) in the graphic design industry and offer an online design system through her venture, Fusion Books (Fusion). Fusion was completely bootstrapped and became a runaway success within five years. That encouraged her to envision setting up a one-stop-shop design site that would make design accessible to everyone.

However, when she tried to raise funds, Perkins encountered multiple rejections from venture capitalists. She persevered and continually refined her strategy. Eventually, she managed to raise venture capital funding and establish her design startup, Canva, in 2013. Canva then went on to disrupt the graphic design industry. The case describes in detail the reasons for Canva’s success, which went on to be one of the few profitable unicorn start-ups. The case also throws light on how Perkins used Canva as a tool to change society with her two-step plan. Despite its market success, Canva faced heavy competition in the design and publishing space from well-established players. Can Perkins challenge the competition and ultimately make Canva a software giant in the future?

The case is intended for use in teaching the subjects “Entrepreneurship Development,” “Business Strategy,” “Leadership Skills and Change Management” and “Positive Psychology for Managers” in both graduate and post-graduate programs.

Derived from field and telephone interviews, e-mail communications, and secondary sources, this two part case describes how Gerald Mahoney, a shoes salesman in a Foley's Department store, is faced with a problem - Macy's has bought out the Foley's chain and, in doing so, has upscale the product line of shoes and altered his commission-based compensation system. These changes have resulted in less sales for Mr. Mahoney and therein lower commission - a difficult situation since he, his wife, and his daughter were barely getting by on his currently salary. Part A of the case describes an opportunity that presents itself to Mr. Mahoney; to leave his current job with a guaranteed low salary with possible additional income from commissions for a job selling residential homes which becomes purely commission-based to start with after three months of a salary plus commission pay that includes job training. In Part B Mr. Mahoney has decided to take the sales job with ABC Home Builders and receives his assignment. He finds that the working conditions of the sales office are not conducive to selling. His office is located in the rear of a trailer that is extremely run down and is paired with a competitive, noncommunicative saleswoman. The case ends with Mr. Mahoney feeling hopeless and alienated.

This two part case has been written primarily for an undergraduate junior level course in career planning or sales management and deals with the issues of recruitment, placement, training, and compensation. The case may also be employed in a course dealing with human resource management (from an individual's perspective), salesmanship, and organizational behavior.