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Business transformation processes, change management and business strategy.

The case can be used to study business transformation processes and would be relevant for courses on change management and business strategy. It shouldbe studied in the context of behavioral and organizational challenges in implementing an organization-wide change. The case is targeted at MBA students and/or executive participants with professional experience who would be able to link the learningto corporate experience. It can be used for courses on organizational change, business strategy, and change management.

The case, set in India in the year 2011, is positioned in the business consulting domain, and provides insight into managing change from the perspective of a consulting partner. The case discusses challenges and presents processes followed by Wipro Consulting Services (WCS) in conducting an integrated business transformation exercise at Brigade Enterprises Ltd (BEL), a leading firm in India's real estate sector. The BEL engagement had busted the myth that an integrated business transformation could not be conducted in an unorganized sector, and resulted in savings of overUSD 2 million for BEL. The case traces the journey of WCS into business transformation consulting, outlines the solution framework proposed by WCS, and discusses the decisive nature of the Brigade project for WCS' growth trajectory.

The case has been written with the following objectives, to: familiarize students with the processes and phases of a business transformation project; examine transformation barriers and challenges from a consultant perspective; and providestudents an appreciation of the complexities and challenges, decisional criteria and parameters of a large-scale, integrated business transformation exercise.

Teaching notes are available; please consult your librarian for access.

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.

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 11: Strategy

Learning outcomes are as follows: students will discover the importance of process orientation in management; students will determine the root cause of the problem by applying root cause analysis technique; students will identify the failure modes, analyze their effect, score them on a scale and prioritize the corrective action to prevent the failures; students will analyze the processes and propose error-proof system/s; and students will analyze organizational culture and ethical issues.

Purpose: This case study is intended as a class-exercise, for students to discover the importance of process-orientation in management, analyze the ethical dilemma in health care and to apply quality management techniques, such as five-why, root cause analysis, failure mode and effect analysis (FMEA) and error-proofing, in the management of the health-care and service industry. Design/methodology/approach: A voluntary reporting of a case of “radiation overdose” in a hospital’s radio therapy treatment unit, which led to an ethical dilemma. Consequently, a study was conducted to establish the causes of the incident and to develop a fail-proof system, to avoid recurrence. Findings: After careful analysis of the process-flow and the root causes, 25 potential failure modes were detected and the team had assigned a risk priority number (RPN) for each potential incident, selected the top ten RPNs and developed an error-proofing system to prevent recurrence. Subsequently, the improvement process was carried out for all the 25 potential incidents and a new control mechanism was implemented. The question of ethical dilemma remained unresolved. Research limitations/implications: Ishikawa diagram, FMEA and Poka-Yoke techniques require a multi-disciplinary team with process knowledge in identifying the possible root causes for errors, potential risks and also the possible error-proofing method/s. Besides, these techniques need frank discussions and agreement among team members on the efforts for the development of action plan, implementation and control of the new processes. Practical implications: Students can take the case data to identify root cause analysis and the RPN (RPN = possibility of detection × probability of occurrence × severity), to redesign the protocols, through systematic identification of the deficiencies of the existing protocols. Further, they can recommend quality improvement projects. Faculty can navigate the case session orientation, emphasizing quality management or ethical practices, depending on the course for which the case is selected.

MBA or PG Diploma in Management – health-care management, hospital administration, operations management, services operations, total quality management (TQM) and ethics.

Teaching Notes are available for educators only.

CSS 9: Operations and Logistics.

Decision Analysis, Management Information Systems, Strategic Management, Organizational Development, Financial Management, Risk Management.

MBA-1 (Decision Analysis), MBA-2 (MIS).

On a beautiful October morning in 2011, the CEO of a mid-size oil marketing company located in Nairobi, Kenya has to make a tough decision whether to upgrade their current B1 system to a bigger version of SAP. Abbas, the new Information Communications Technology (ICT) Director of Zaidi Group, was worried that Zaidi was building a bigger and bigger company on top of a more and more small enterprise resource planning system. Abbas's fears also include RedLock's past inefficiencies. Kariuki, the Finance Director, on the other hand was into the fear of overspending in a huge information technology (IT)system where current functionalities required can be addressed by a smaller system through add-ons, customization and development.

Demonstrate some tools in decision analysis for problems with multiple objectives including some issues indecision framing and cognitive inertia; Raise the issue for fundamentally changing a firm's infrastructure; Demonstrate the alignment of IT strategy to Business Strategy.

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

Rachel Banning was assigned a new role in HR with the responsibility to update recruitment and orientation systems to meet the rapidly growing demand for manpower at McCune Contracting, an oilfield services provider in Alberta, Canada. McCune’s industry peers were competing to attract the same skilled employees, within a relatively small talent pool. The HR team was only a few short weeks away from the upcoming peak “turnaround season” when they would be expected to recruit and deploy 500 new temporary workers for their clients’ sites. Banning knew she had to take immediate actions to fix as many of the systems issues as possible and to eventually set the team up with a more permanent solution for systems integration.

The authors had access to McCune Contracting to complete field research for this case.

The case is designed for business students at both graduate and undergraduate levels. The case can be used in operations management courses to discuss the topic of process analysis and operations strategy or in management information system courses as a comprehensive case study for use at the end of the course. The case might particularly appeal to students who have worked in human resources management areas or the service industry.

Theoretical underpinnings include a process view of organizational performance, internal supplier and internal customer orientation, performance improvement, information systems integration and value chain analysis.

In January 1996, the chief financial officer must fashion a response to a raider who claims that a major business segment of the company should be sold because it is not earning a satisfactory rate of return (ROR). The case recounts the debate within the company over the use of a single hurdle rate to evaluate all segments of the company versus a risk-adjusted hurdle rate system. The students’ tasks are to resolve the debate, estimate weighted-average costs of capital (WACC) for the two business segments, and respond to the raider. Because the case was prepared to serve as part of an introduction to estimating investors’ required rates of return, it would best follow one or two class sessions introducing techniques for estimating WACC. Although the numerical calculations required are light, some of the subtleties about the use of risk-adjusted hurdle rates will require time for the novice to absorb. The case can be used to pursue a variety of teaching objectives, including (1) extending risk return (i.e., mean variance) analysis to corporate finance; (2) surveying classic arguments for and against the use of risk-adjusted hurdle rate systems; (3) assessing the assumptions and limitations of risk-adjusted hurdle rate systems; (4) exercising the estimation of segment WACCs; and (5) considering possible organizational barriers to the implementation of risk-adjusted hurdle rates.

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.

In February 2003, President and CEO Nick Lazaris faces critical decisions on Keurig's launch of a new consumer coffee brewing system. Keurig has successfully sold single-cup brewing systems through commercial distribution channels and is now expanding to the lucrative consumer segment. However, a meeting with key strategic partners six months prior to launch raised questions about the product design. This prompted the Keurig management team to revisit its decisions on product design, pricing, and the marketing plan. With six months to launch, what should the company do?

Operations management.

Undergraduate and MBA OM courses.

Kiwanis International is a global service organization dedicated to improving the world by helping children. The Durant, Oklahoma chapter holds its primary annual fundraiser the first Tuesday of November, which is also Election Day. The chapter sells and serves fresh pancakes throughout the day; therefore, the event is the Kiwanis Pancake Day. While serving in his first Pancake Day, Robert Howard, a new Kiwanian, notices service operations management issues such as long lines, spiky demand, and customers leaving before being served. Based on his management experience in the grocery business and his academic training in queuing systems, Robert performs an analysis of the system with the purpose of improving service operations.

Perform queuing analysis., Understand demand management., Explain the psychology of waiting.

Teaching notes and spreadsheet–based multiple–server simulator.

This introductory case considers the very sudden and large drop in market value of Oracle Systems' equity associated with two announcements in 1990. These announcements cause investors to revise their expectations about the future growth of Oracle Systems, perhaps the most rapidly growing U.S. corporation in the 1980s. The tasks for the student are to evaluate both the import of the announcements and the company's financial health. The case provides a first exercise in financial statement analysis and lays the foundation for two important financial themes: the concept of financial health and the financial economic definition of value and its determinants. The case also presents an interesting profile of an aggressive chief executive officer and suggests some potential unintended financial consequences of extreme aggressiveness.