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After studying the case, the students will be able to: 1. understand the business and existing HR practices at Precision Engineering; 2. evaluate the factors affecting business that may require the company to formalise its HR practices; 3. create recruitment and selection-related solutions for HR 2.0 using appropriate models and theory to aid the company meet its business goals; 4. create training needs identification and evaluation practices for HR 2.0 using appropriate models and theory to aid the company meet its business goals; and 5. create performance planning and review-related solutions for HR 2.0 using appropriate models and theory to aid the company meet its business goals. The case helps students objectively assess HR practices related to three core verticals – recruitment and selection; training; and performance management systems. It also enables them to reassess these practices with the help of specific metrics and models.

Precision Engineering was a manufacturer of machined metal components in the Indian automotive components industry. It had been a family-run business since its inception in 1995. Precision was awarded the prestigious Automotive Component Manufacturers of India award in 2020 for excellence in HR. Ms Sakshi Kapoor, General Manager of Innovation, was ecstatic at the receipt of this award. She, however, was thoughtful about the informal human resource (HR) practices at the company. The top management had announced an aggressive growth plan and advised Ms Kapoor to leverage HR practices to facilitate these plans. Recruitment and selection, employee training and performance management systems needed to be formalised on a priority basis to strategically aid the future business agenda at Precision. Ms Kapoor faced the challenge of preparing the roadmap of HR 2.0 while preserving the employee-centric beliefs at Precision. The case initiates a discussion to achieve this goal by adopting suitable HR metrics and models.

It should be taught in the core course on Human Resource Management for first-year Masters in Business Administration (MBA) students. Alternatively, it could be used in elective courses such as Strategic Human Resource Management, Training and Development and Performance Management Systems for second-year MBA students.

Teaching notes are available for educators only.

CSS 6: Human Resource Management.

The Performance Management at IRD Corporation case series is designed to be an in-depth study of performance appraisal in the R&D context. The case series can be used as a platform for discussing the rationale of performance appraisal system, system design and implementation, the differences between R&D and other work contexts (manufacturing, services, etc.), and the challenges involved in R&D management. This case revolves around the Chairman of IRD Corp and his dilemmas, providing an insight to the participants into the challenges of performance management and also R&D management. The series highlights the complex dilemmas associated with managing performance and the necessity of having a new performance evaluation system.

The Performance Management at IRD Corporation case series is designed to be an in-depth study of performance appraisal in the R&D context. The case series can be used as a platform for discussing the rationale of performance appraisal system, system design and implementation, the differences between R&D and other work contexts (manufacturing, services, etc.), and the challenges involved in R&D management. This case revolves around the Chairman of IRD Corp and his dilemmas, providing an insight to the participants into the challenges of performance management and also R&D management. The series highlights the complex dilemmas associated with managing performance and the necessity of having a new performance evaluation system.

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.

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.

The first company under the Amara Raja Group was established in 1984, i.e. Amara Raja Electronics Limited (AREL) followed by Amara Raja Batteries Limited (ARBL). Its founder leveraged the presence of his family in Renigunta, a rural village in South India, and chose to start the industry there to create employment opportunities. Preference is given to local population in all ARG enterprises. Despite its strong people orientation, the HR department/function at ARG got strengthened only after Jaikrishna strived to make it central to business. The department's evolution has been demarcated in three phases. The first and second phase saw few initiatives, and during the third phase the HR department was structured according to the Dave Ulrich Strategic HR Model. While this structure had been successful until now, certain sections in ARG still doubted its sustainability.

Data used to develop the case included primary data from employees and supervisors of a commercial floorcovering manufacturing plant in Northwest Georgia. The case company is not disguised.

The survey was developed using existing instruments from the Organizational Behavior and Human Resources Literature. Instruments were listed in Exhibits 2 through 7. The survey administration had the support of the Vice President for Resources and Facilities, and employees and their supervisors were given time to complete the surveys. The data gathered was analyzed by the researcher using SPSS statistical software.

Established in 1957, J&J started as a family-owned business but had grown and diversified its product offerings by focusing on commercial flooring. It survived several economic downturns and remained competitive in a market dominated by more prominent flooring manufacturers. J&J Industries strived to empower its 800 employees with various incentive programs. Employees remained loyal to J&J; many had worked for the company for over 15 years. However, management wanted to measure the impact of empowering and initiatives on employee performance and satisfaction to determine the real power of employee incentive programs. The Resources and Facilities Vice President employed Professor Lopez, a Management Professor, to develop a survey to measure these constructs and analyze the data to guide future incentive programs. Data from the employee and supervisor survey was provided along with the statistical analysis results for interpretation and recommendations for VP Fordham.

The target audience for this case is primarily students in a research methodology course and students studying quantitative regression analysis and interpretation. The focus is predominantly on graduate-level students in Master of Business Administration or Master of Accounting programs in business. Graduate students should have completed courses in management or organizational behavior, business statistics or quantitative methods or data visualization and cleaning as background knowledge for this case. Specifically, students should understand regression analysis and know when and how the tool is used for managerial decision-making.

The assignment is to design a plan that aligns patient satisfaction scores with quality care metrics. The instructor’s manual (IM) introduces models for designing and implementing a strategic plan to approach the quality improvement process.

This is a field research case. The author(s) had access to the Chief Operating Officer (COO) and other members of the management team, meeting with them on numerous occasions. Cleveland Clinic Florida (CCF) provided the data included in the appendices. Additionally, relevant hospital data, also included in the appendices, is required to be made public on Centers for Medicare and Medicaid Services (CMS) databases. Accordingly, all data and information are provided by original sources.

Osmel “Ozzie” Delgado, MBA and COO of CCF was faced with a dilemma. Under the new CMS reimbursement formula, patient satisfaction survey scores directly impacted hospital reimbursement. However, the CCF patient satisfaction surveys revealed some very unhappy patients. Delgado pondered these results that really made no sense to him because CCF received the highest national and state rankings for its clinical quality at the same time. Clearly, patients were receiving the best medical care, but they were still unhappy. Leaning back in his chair, Delgado shook his head and wondered incredulously how one of the most famous hospitals in the world could deliver such great care but receive negative patient feedback on CMS surveys. What was going wrong and how was the hospital going to fix it?

This case is designed for graduate Master’s in Business Administration (MBA), Master’s in Health Sciences Administration (MHSA) and/or Public Health (PA) audiences. While a healthcare concentration is useful, the case raises the generic business problems of satisfying the customer to increase brand recognition in the marketplace and displacing competition to increase annual revenues. Indeed, the same analysis can be applied in other heavily regulated industries also suffering from a change in liquidity and growth occasioned by regulatory change.

At the end of this study, students should analyze the re-orientation of innovation music business model strategy to create a new market using the Blue Ocean Strategy of Sun-Eater Records Company. Furthermore, they should be able to implement the business model transformation in the music industry in this digital media era based on data and technological capability. Students should analyze the digital content strategy that is relatable and relevant to music customers/users through content creation. Finally, they need to create the content strategy applicable to promotion and marketing innovatively in the music business.

This study analyzes how a Jakarta-based independent music company, Sun Eater Records, changed its strategy in response to the Covid-19 pandemic. The adverse effect of the pandemic on this company included a massive drop in sales of products and revenues from tours, festivals and outdoor music performances. Music industry stakeholders were confused and frustrated because of the restriction and the implementation of the social distancing policy, as most of their business models depended on live music showcases and selling records. The protagonist of this study, Kukuh Rizal Arfianto, is the director and co-founder of Sun Eater Records. Kukuh’s experience during the pandemic is used to capture the dilemma faced by the music industry players in Indonesia. This agile businessman transformed this music company by embracing digitalization. Inspired by the business models of Disney and 88 Rising (Music Management), Sun Eater Records developed various derivatives digital products. The company did not only sell music through digital content, it also developed several complementary products with music as their main theme. These innovative creations include mini-documentary, virtual concerts, compilation albums serial, digital comics, and Covid-19 Campaigns. The company is quite active in leveraging digitalization to survive in this business compared to other industry players. This study provides communication and design students opportunities to analyze how to draft an effective content strategy in the industry, in this case, the music industry.

This case is designed mainly for Management, Innovation, and Digital Communication course at the Bachelor's level program.

Teaching notes are available for educators only.

CSS 11: Strategy.

Marketing Management, Product Management, Marketing Strategy.

Bachelor of Business Studies, MBA, Executive MBA.

The case throws light on the intensely competitive Indian passenger car market and its unique challenges faced by Hyundai Motors India Limited (HMIL). It tries to capture the evolution of this dynamic industry, which is characterized by regular product launches and re-positioning efforts. The students are expected to assess the performance of HMIL and the success of its positioning efforts through multiple quantitative and qualitative data points given in the case. The students need to come up with recommendations whether, amidst intense competition, Government regulations and changing consumer expectations, HMIL should launch new products in its portfolio? If, yes, in which segments? And what should be the guiding philosophy behind such product launches?

The case is expected to guide students: 1. in comprehending the various macro-environmental factors that has made India an attractive passenger car market to invest and operate in, to virtually all multinational players across all segments; 2. in analyzing how the passenger car market is segmented in India; 3. in assessing the product-driven segment-wise performance by HMIL specifically and organizations in general and what are its implications on decision-making; this is indicative of the brand portfolio management based on BCG Brand/Product Portfolio Growth Share Matrix; 4. in assessing the impact of re-positioning on the firms performance judged before and after the re-positioning efforts by the firm; 5. in analyzing the market potential of SUVs and MUVs in India and whether HMIL should launch new products/brands for these segments; and 6. in deliberating on the guiding philosophy in new product launches around the concept of “Consumer Perceived Value”.

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.