Search results

The case is presented as descriptive in nature and primarily involves exploratory research.

Ashraf, a young graduate from Bangalore, India, started a chain of lifestyle shops, his family business in Khartoum, Sudan. To modernize the shops, Ashraf approached a small finance bank for financial assistance. However, after submitting the required documents and with a good credit score, he was denied a loan. The bank officials had mentioned that the loan automation software did not approve the application. Hence, the bank personnel said that they could not do anything further. Disappointed, Ashraf sought the help of his professor, John, to understand why the software rejected his application. Professor John explained to Ashraf the advantages and disadvantages of automation. In the process, Ashraf understood the significance and compelling need to address “Algorithm Bias,” a situation in which specific attributes of an algorithm cause unfair outcomes. The case place students in Ashraf’s position to help them understand the advantages and issues of applying automation through artificial intelligence.

The case suits graduate-level courses like business analytics, financial analytics and business intelligence.

Through the case, the students will be able to: Understand the role of algorithms in business and society. Understand the causes, effects and methods of reducing algorithm bias. Demonstrate the ability to detect algorithm bias. Define policies to mitigate algorithm bias.

This case has four major learning outcomes using hands-on spreadsheet tool. First is to introduce and apply the Clarke and Wright’s Savings algorithm. Second is to conduct a cost-benefit analysis in transportation set up. Third is to find out the optimal route to be taken to fulfill given demand while satisfying time and capacity constraints. Finally, one has to optimize the number of vehicles required for daily operations.

Dhruvam, the protagonist of the case, working at ZeNXL, a third-party logistics service provider, was assigned the task of reducing the operational cost of the company as part of the new service offering called “Route optimization.” This new offering would help optimize vehicle delivery routes to meet daily customer demand. The launch of the new service offering was due in the next 10 days with client LG Electronics to be the first beneficiary.

MBA-1 (Logistics Management), MBA-2 (Route Optimization). This case provides an opportunity for instructors to introduce vehicle routing and scheduling as part of logistics management. Students are expected to use the data given in the case and exhibits to develop the optimal routes (using Clarke and Wright’s Savings algorithm) and conduct cost-benefit analysis. This case also provides insights on the challenges associated with start-up operations.

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 9: Operations and Logistics

This case is designed to enable students to understand the role of women in artificial intelligence (AI); understand the importance of ethics and diversity in the AI field; discuss the ethical issues of AI; study the implications of unethical AI; examine the dark side of corporate-backed AI research and the difficult relationship between corporate interests and AI ethics research; understand the role played by Gebru in promoting diversity and ethics in AI; and explore how Gebru can attract more women researchers in AI and lead the movement toward inclusive and equitable technology.

The case discusses how Timnit Gebru (She), a prominent AI researcher and former co-lead of the Ethical AI research team at Google, is leading the way in promoting diversity, inclusion and ethics in AI. Gebru, one of the most high-profile black women researchers, is an influential voice in the emerging field of ethical AI, which identifies issues based on bias, fairness, and responsibility. Gebru was fired from Google in December 2020 after the company asked her to retract a research paper she had co-authored about the pitfalls of large language models and embedded racial and gender bias in AI. While Google maintained that Gebru had resigned, she said she had been fired from her job after she had raised issues of discrimination in the workplace and drawn attention to bias in AI. In early December 2021, a year after being ousted from Google, Gebru launched an independent community-driven AI research organization called Distributed Artificial Intelligence Research (DAIR) to develop ethical AI, counter the influence of Big Tech in research and development of AI and increase the presence and inclusion of black researchers in the field of AI. The case discusses Gebru’s journey in creating DAIR, the goals of the organization and some of the challenges she could face along the way. As Gebru seeks to increase diversity in the field of AI and reduce the negative impacts of bias in the training data used in AI models, the challenges before her would be to develop a sustainable revenue model for DAIR, influence AI policies and practices inside Big Tech companies from the outside, inspire and encourage more women to enter the AI field and build a decentralized base of AI expertise.

This case is meant for MBA students.

Teaching Notes are available for educators only.

CCS 11: Strategy

With the development of inclusive financial business in China in recent years, this case describes the credit risk control of “mobile credit”, a smart online credit platform launched by Shanghai Mobanker Co. Ltd. (referred to as “Mobanker”, previously named as “Shanghai Mobanker Financial Information Service Co., Ltd.”) which provides technical services for inclusive finance industry.

The learning outcomes of this paper are as follows: to understand the context of seaport logistics and supply chain design structure, to apply Monte Carlo simulation in the interface of the supply chain and to analyze the Monte Carlo simulation algorithm and statistical techniques for identifying the key seaport logistics factors.

It was 9:00 p.m. on November 10, 2020, and Nishadh Amonkar, the CEO of OCTO supply chain management (SCM) was glued to the television watching the final cricket match of the Indian Premier League, 2020. Amonkar’s mobile phone rang and it was a call from Vinod Nair, a member Logistics Panel of Ranji Industries Federation. Nair informed Amonkar that it was related to the rejection of several export consignments of agricultural products from Ranji (in the western part of India). The rejection was due to the deterioration in the quality of the exported agricultural products during transit from Ranji to various locations in Europe.

This course is suitable at the MBA level for the following courses: Operations research (Focus/Session: Applications on Monte Carlo Simulation). SCM (Focus/Session: Global SCM, Logistics Planning, Distribution Network). Logistics management (Focus/Session: Transportation Planning). Business statistics (Focus/Session: Application of Hypothesis Testing).

Teaching Notes are available for educators only.

CSS 9: Operations and logistics.

This case reflects a classic approach to entrepreneurship based on entrepreneurial resources and opportunities. It also provides a vehicle for discussing the key features of a business model. It also addresses key strategic choices such as whether to replicate a business model or not.

This case study sets out the story of an entrepreneur: Zein Rachidi. It describes his history and the key milestones in his professional development until the creation and development of his own startup “Topotrade” the first online market place for used topography equipment. It also exposes his development plan, his will to scale up his business by replicating the same business model of Topotrade in a new market, that of used biomedical equipment.

This case is written mainly with a view to its use in the context of entrepreneurship courses for undergraduate students in management, as well as for entrepreneurs who can compare Zein’s trajectory to their own. This case is designed for students also suitable for courses in basic strategy, strategy and change and disruptive business models.

Teaching Notes are available for educators only.

CSS 3: Entrepreneurship.

In the fall of 2014, Chad Kartchner, senior manager of marketing and product management at Honeywell Aerospace (HA), pondered how technology could transform the way aircraft were maintained. He had heard a lot of buzz about cognitive analytics, an artificial intelligence term referring to the use of computer models and algorithms to simulate human thought through self-learning systems, data mining, pattern recognition, and natural language processing. The sheer volume of parts and the time-sensitive nature of repairs in the aviation industry made it complicated to identify problems and address them quickly.

Kartchner contemplated the options for updating HA's ground-based maintenance system. Should he emulate HA's state-of-the-art on-board system for an entire aircraft or try something new? Emulating the on-board system, which HA developed internally, would be an easy sell to leadership given internal buy-in and satisfaction with the on-board system, but he contemplated new approaches because he did not want to overlook rapidly emerging technologies. The latter could include crowdsourced features that leveraged the abundance of knowledge among HA's customers' technicians or a cognitive analytics approach. Even if he could persuade leadership to try a new cognitive analytics approach, should HA partner with an established entity or work with a relatively unproven startup who promised lower cost, better features, and quicker turnaround to develop a new system?

Students will step into the shoes of Kartchner as he leads the internal discussion on whether and how to tap into the benefits of cognitive analytic solutions for Honeywell Aerospace and its customers.

After completion of the case study, students will learn to use Lean Canvas to identify business opportunity. They will also learn the balancing of exploitation of profit-producing activities and exploring new opportunities according to the environmental dynamism.

WONK, a tutor discovery and booking app was launched by MyEdge in 2016 to search and book verified tutors in locations served by the company. Based on their requirements, parents and students could sort and book verified tutors in their area. Through the app, users could search for academic and hobby classes in the form of individual tuitions. The ease of use and the service offering made it a popular app with students enrolling every 6 min. Within a span of six years, WONK had provided services to thousands of students in 20+ countries and had 200,000+ tutors registered on their app from 15,000+ pin codes. Despite a plethora of Edtech companies in India, a different business model and services offered gave them an edge over other Edtech companies. To keep up with the customer needs, they were constantly making the upgrades to their technology and expanding their services. Vidhu Goyal, the founder of the company, was enjoying the progress when another development in the technology hit the world. With the launch of applications based on artificial intelligence, will it disrupt the business or not?

The case study is recommended to be taught in a 90-min class to Master of Business Administration students. The case study may be used in courses related to strategy, information systems management and entrepreneurship.

Teaching notes are available for educators only.

CSS 11: Strategy.

This case was developed from secondary sources. The secondary sources included company websites, social media and news reports. This case has been classroom tested in multiple executive master of business administration (MBA) courses on business model innovation and entrepreneurship.

The case traces the entrepreneurial journey of Dozee, a remote patient monitoring system in India. Dozee was manufactured by Turtle Shell Technologies Private Limited, cofounded by Mudit and Gaurav. The primary customers of Dozee’s offering were households with elderly citizens and health-conscious individuals who sought preventive health care. The cofounders identified the unmet need for a convenient and user-friendly contactless health tracker. Dozee team built a thin sensor-embedded sheet and module that can be placed beneath the mattress to track sleep patterns and health vitals. They also provided data analysis and data interpretation services. After four years of conceptualization, Dozee launched its product and service in 2019. Although the initial response was lukewarm, the onset of the COVID-19 crisis led to significant changes in the health-care industry. Demand for virtual assistance and contactless monitoring devices became increasingly important elements of COVID-19 treatment. Unlike other sensor-based fitness trackers, the sheet could be easily placed under the patient’s bed to capture health vitals. Choosing to pivot from a home-based individual customer segment to a medical-grade device provider for hospitals could significantly increase the scale and scope of the offering for Dozee, but it would also place Dozee in direct competition with other health monitoring devices from different business categories.

This case is appropriate for MBA and executive-level courses related to entrepreneurship and business model innovation. The case explores issues such as digital disruption and how start-ups can design a go-to-market strategy. The case works well in the classroom, even if people are unfamiliar with the health-care industry. Participants can certainly relate to the concept of adopting artificial intelligence–enabled devices for monitoring their health. The instructor should be able to quickly engage participants in a lively discussion about Dozee’s vision and the opportunities and challenges in adopting digital solutions in health care.

This case is designed for an undergraduate entrepreneurship course dealing with the launch and growth of an entrepreneurial venture, including strategies for effective team building, especially with teams based in different countries.

This case has been used in 300 and 400 level entrepreneurship courses.

The case tells the story of John Lee (CEO) and Regina Adams (President), the founders of a new business called global loans in entrepreneurship (GLIE) based in Singapore. GLIE facilitates micro-loans for small business owners in the developing world and specifically targets entrepreneurial development projects for the poor. Many social enterprises start their operations on a shoestring budget. Typically, the deficit of cash pushes the leadership to use creative strategies to move things forward, including recruiting individuals who are willing to work in the startup phase without monetary compensation. This case sheds light on what can happen when founders recruit and rely on a volunteer for essential technology development, vesting the individual with substantial power, and creating the possibility for him/her to delay or purposefully hold up the launch of the company.

The case highlights the importance for someone on the founding team to have whatever core competencies are most critical to the firm. Additional themes are the importance of raising adequate funds at startup, the pitfalls of using volunteers in the wrong capacity, and the disastrous impact the wrong employee can have in a small firm setting.

Teaching note.