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Case study
Publication date: 10 October 2013

Arch Woodside, Michael D. Metzger and John C. Ickis

A consulting team to an international food packaging company (SDYesBox) is attempting to decide which algorithm is the most useful for selecting two national markets in Central…

Abstract

Subject area

A consulting team to an international food packaging company (SDYesBox) is attempting to decide which algorithm is the most useful for selecting two national markets in Central America and the Caribbean. SDYesBox wants to work closely with its immediate customers – manufacturers in the dairy and food industry and their customers (retailers) – to develop and market innovative products to low-income consumers in emerging markets; the “next big opportunity for the dairy industry” according to SDYesBox.

Study level/applicability

New product development and market selection in emerging markets in Latin America.

Case overview

Five algorithms are “on the table” for assessing 14 countries by 12 performance indicators: weighted-benchmarking each country by the country leader's indicator scores; tallying by ignoring indicator weights and selecting the countries having the greatest number of positive standardized scores; applying a conjunctive and lexicographic combination algorithm; and using a “fluency metric” of how quickly consumers can say each country aloud. At least one member of the consulting team is championing one of these five algorithms. Which algorithm do you recommend? Why?

Expected learning outcomes

Learners gain skills, insights, and experience in alternative decision tools for evaluating and selecting choices among emerging markets to enter with new products for low-income (bottom of the pyramid) products ands services.

Supplementary materials

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

Details

Emerald Emerging Markets Case Studies, vol. 3 no. 4
Type: Case Study
ISSN: 2045-0621

Keywords

Case study
Publication date: 12 May 2022

Syeda Maseeha Qumer and Syeda Ikrama

This case is meant for MBA students as a part of their leadership/information technology and system curriculum. It is suitable for classes in both offline and online mode.

Abstract

Study level/applicability

This case is meant for MBA students as a part of their leadership/information technology and system curriculum. It is suitable for classes in both offline and online mode.

Subject area

Human resources management/information technology and systems.

Case overview

The case discusses how Poppy Gustafsson (Gustafsson) (she), Cofounder and Chief Executive Officer of Darktrace plc, one of the world’s largest cyber-AI companies, is reinventing enterprise security by using artificial intelligence (AI) to detect and respond to cyberthreats to businesses and protect the public. Darktrace’s technology leverages the principles of the human immune system to autonomously defend organizations from cyberattacks, insider threats and AI warfare. In addition to leading a cutting-edge cybersecurity company, Gustafsson evangelizes gender diversity at Darktrace where 40% of employees and four C-level executives are women, a number nearly unheard of in the tech sector.The case chronicles the journey of Gustafsson and how she led the company to growth and success. Under her leadership, Darktrace has grown into a market leader in the AI cybersecurity space serving 5,600 customers in 100 countries, as of June 2021. Gustafsson not only redefined the cybersecurity space but also inspired women to pursue a career in the field of cybersecurity. She also collaborated with a social enterprise called WISE to encourage more girls to consider STEM careers.However, along the way, she faced several challenges including growing competition, procuring funds from investors, cybersecurity talent shortage and training personnel. Going forward, some of the challenges before Gustafsson would be to meet the changing cyber protection demands of customers; hire, train and retain highly skilled cybersecurity personnel; beat the competition in a saturated cybersecurity services space; sustain revenue growth; and post profits as Darktrace had incurred losses every year since its inception.

Expected learning outcomes

This case is designed to enable students to: understand the issues and challenges women face in the field of cybersecurity; understand the qualities required for a woman leader to lead a technology firm; study the leadership and management style of Gustafsson; understand the importance of transformational leadership in management; understand the role of Gustafsson in Darktrace’s growth and success; analyze the traits that Gustafsson possesses as a tech leader in an emerging cybersecurity space; understand the importance of gender diversity in cybersecurity; and analyze the challenges faced by Gustafsson going forward and explore ways in which she can overcome them.

Subject code

CSS: 11 Strategy.

Details

The Case For Women, vol. no.
Type: Case Study
ISSN: 2732-4443

Keywords

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