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Advent International: Kroton Investment
新着ケース英語
著者:Ivashina, Victoria/Kostas, Ruth/Zogbi, Priscilla
提供機関:Harvard Business Publishing
26ページ作成: 2018/09  改訂: 
An Innovative Anti-bribery Commitment?
新着ケース英語
著者:Soltes, Eugene
提供機関:Harvard Business Publishing
3ページ作成: 2018/09  改訂: 
A company commits to providing investors a 200% return on their investment if either the firm or its founder is investigated for corruption.
Cepuros Foods Malaysia: Finding the Secret Sauce for Growth
新着ケース英語
著者:Quelch, John A./Hartman, Katherine B.
提供機関:Harvard Business Publishing
10ページ作成: 2018/11  改訂: 
Shelby Diaz, country manager for Cepuros Foods International - Malaysia (CFI-M), must decide a growth strategy for the expansion of CFI-M's line of salsas, particularly regarding whom to target and how to allocate marketing investments. CFI-M could expand aggressively by mass marketing to the general population. A more conservative approach would use targeted communications and promotions. Diaz needs to build an argument for a specific growth strategy and recommend which marketing investments CFI-M should pursue. The case can be used to discuss strategy, positioning, and marketing communications, which are relevant to considering alternative strategies for growth. The possibilities for growth include market penetration, product development, and/or market development. The case touches on the potential benefits and risks of each option given the competitive landscape, customer perceptions, and demand determinants. Students should find the product and distribution easy to understand, but the international market context provides a unique opportunity to apply core marketing principles. The case is recommended for upper-level undergraduate students or first-year MBA students studying marketing strategy. It can also be used in a course on international marketing.
Clayton, Dubilier & Rice at 40
新着ケース英語
著者:Lerner, Josh/Tagade, Abhijit/Shu, Terrence
提供機関:Harvard Business Publishing
28ページ作成: 2018/09  改訂: 
In 2018, private equity firm Clayton, Dubilier & Rice celebrated its 40th anniversary and its 20th year under the leadership of CEO Don Gogel. In those decades, CD&R showed solid portfolio performance and generated strong returns for its investors - accomplishments attributed to its unique balance between operations and finance professionals. The firm made sure that, for every deal, it had both the finance and operations expertise to grow revenues, streamline operations, and truly turnaround distressed companies. But as CD&R entered into its fifth decade and its largest fund to date (nearly $10 billion AUM), competition, AUMs, industry "dry powder," and buyout valuations were all on the rise. Within CD&R, rapidly-evolving technologies, talent retention, and the prospect of Gogel's retirement presented additional sources of pressure. Gogel and his team had to consider whether CD&R could maintain its unique identity and continue to add value as it had in the past in the face of such circumstances.
Facebook-Can Ethics Scale in the Digital Age?
新着ケース英語
著者:Riedel, George A./Knoop, Carin-Isabel
提供機関:Harvard Business Publishing
31ページ作成: 2018/08  改訂: 2018/09
Since its founding in 2004, Facebook has built a phenomenally successful business at global scale to become the fifth most valuable public company in the world. The revelation of Cambridge Analytica events in March 2018, where 78 million users' information was leaked in a 2016 US election cycle, exposed a breach of trust/privacy amongst its user community. In the past, growth at any costs appeared to be the de facto strategy. Now many voices such as regulators, advertisers, ethicists, shareholders and users argued for a more responsible approach to addressing their concerns. Mark Zuckerberg (CEO/Chair/Founder) and Sheryl Sandberg (COO) mapped out their six-point plan to address this existential threat. Could they continue to grow and rectify the breach of trust/privacy? Did other stakeholders have some greater responsibility too? In addition to issues of privacy and trust, there is a growing chorus of concern about "content moderation" - not for the easy topics like spam or copyright material -but for the hard things around political points of view, hate speech, polarizing perspectives, etc. How will Facebook strike the balance between free speech and corrosive content across billions of users and dozens of languages? Are they the arbiters of truth/censorship in the digital world?
Fundraising at St. Camillus Hospital
新着ケース英語
著者:Datar, Srikant M./Bowler, Caitlin N.
提供機関:Harvard Business Publishing
11ページ作成: 2018/10  改訂: 
St. Camillus is a fictional non-profit hospital in rural Maine facing a serious budget deficit. As Director of Marketing, Victoria Stern is building a team to modernize the hospital fundraising efforts. An interview with a promising candidate who is also a digital native forces her to confront shifting attitudes toward issues of data and privacy across generations against the backdrop of continued cybercrime and data breaches within the healthcare industry. Students grapple with the tension between data as "useful" or private within an organization. In this context they explore the ethical issues they will face around data security and data governance in their roles as managers.
iPhoneアップグレードプログラムの会計(A)
新着ケース日本語
著者:Jonas Heese/Krishna G. Palepu/H. David Sherman/Monica Baraldi
提供機関:Harvard Business Publishing
21ページ作成: 2016/08  改訂: 2017/01
2015年9月9日、アップルは「iPhoneアップグレードプログラム」を発表した。これは全米のアップルストアでiPhone 6sと6s Plusを購入する新たな方法であった。このアップグレードプログラムの戦略的意味合いに続いて、財務アナリストたちはこの会計処理が意味するところを理解しようと努めた。とりわけ、このアップグレードプログラムがアップルの財務諸表中でどのように収益として認識されるのかという点である。この公表に対するアナリストの反応は様々だった。アップルの会計システムは2015年にiPhoneアップグレードプログラムを導入するのに「ふさわしい」ものなのだろうか。
iPhoneアップグレードプログラムの会計(B)
新着ケース日本語
著者:Jonas Heese/Krishna G. Palepu/H. David Sherman/Monica Baraldi
提供機関:Harvard Business Publishing
4ページ作成: 2016/12  改訂: 2017/01
2016年10月、アップルは2016年度の決算を発表した。CEOのティム・クックは、2016年度は大きな成功を収めたとコメントし、決算のポジティブな側面を強調した。しかし、アップルの2016年年次報告書は、別のことを物語っていた。アップルの総売上高は9%減少し、iPhoneの販売は2015年度第4四半期に比べて13%下落していたのである。またアップルは、iPhone 6sと6s Plusのアップグレードプログラムに対して消費者からの批判にも直面した。2016年9月の調査によると、iPhoneアップグレードプログラムの加入者は増加していた。にもかかわらず、iPhone7とiPhone 7 Plusの供給はひっ迫しており、財務アナリストたちはアップルの財務諸表に対するiPhoneアップグレードプログラムの影響について、もっと情報が欲しいと切望していた。
LendingClub (A): Data Analytic Thinking (Abridged)
新着ケース英語
著者:Datar, Srikant M./Bowler, Caitlin N.
提供機関:Harvard Business Publishing
18ページ作成: 2018/08  改訂: 
LendingClub was founded in 2006 as an alternative, peer-to-eer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns grades and sub-grades to each application using its own risk evaluation model, it also makes detailed data on each loan applications available to both kinds of investors for their own analyses. The case follows MBA graduate Emily Figel as she researches LendingClub as a potential investment vehicle for the small wealth management firm she will join in the fall. Using LendingClub's historical data, she learns the fundamentals of predictive analytics to see whether she can build models to predict whether a borrower will repay or, ultimately, default on the obligation. This first case (A) presents students will relevant, detailed data about how the LendingClub model works. This includes LendingClub's business model, the grading of loans, the unique opportunities and risks. It also follows Figel as she dives into the data to use it to build a model. In the B and C cases, Figel explores several specific techniques for training models. Technical topics include: understanding the data, data preparation, balanced and unbalanced data sets, constructing training-validation-holdout sets, cross-validation, predictions and target leakage.
LendingClub (B): Decision Trees & Random Forests
新着ケース英語
著者:Datar, Srikant M./Bowler, Caitlin N.
提供機関:Harvard Business Publishing
18ページ作成: 2018/08  改訂: 
This case builds directly on the case LendingClub (A). In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan. Technical topics include: (1) Decision trees as a modelling technique, overfitting and induction bias, model validation; (2) Random forest as an ensemble-style modelling technique, bootstrapping, random feature selection; and (3) Log loss as a metric for evaluating and comparing models, feature impact.

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