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Methodology
Published on May 8, 2019 by Shona McCombes . Revised on November 20, 2023.
A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.
A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating and understanding different aspects of a research problem .
When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyze the case, other interesting articles.
A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.
Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.
You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.
Research question | Case study |
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What are the ecological effects of wolf reintroduction? | Case study of wolf reintroduction in Yellowstone National Park |
How do populist politicians use narratives about history to gain support? | Case studies of Hungarian prime minister Viktor Orbán and US president Donald Trump |
How can teachers implement active learning strategies in mixed-level classrooms? | Case study of a local school that promotes active learning |
What are the main advantages and disadvantages of wind farms for rural communities? | Case studies of three rural wind farm development projects in different parts of the country |
How are viral marketing strategies changing the relationship between companies and consumers? | Case study of the iPhone X marketing campaign |
How do experiences of work in the gig economy differ by gender, race and age? | Case studies of Deliveroo and Uber drivers in London |
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Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:
TipIf your research is more practical in nature and aims to simultaneously investigate an issue as you solve it, consider conducting action research instead.
Unlike quantitative or experimental research , a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.
Example of an outlying case studyIn the 1960s the town of Roseto, Pennsylvania was discovered to have extremely low rates of heart disease compared to the US average. It became an important case study for understanding previously neglected causes of heart disease.
However, you can also choose a more common or representative case to exemplify a particular category, experience or phenomenon.
Example of a representative case studyIn the 1920s, two sociologists used Muncie, Indiana as a case study of a typical American city that supposedly exemplified the changing culture of the US at the time.
While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:
To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.
There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews , observations , and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data.
Example of a mixed methods case studyFor a case study of a wind farm development in a rural area, you could collect quantitative data on employment rates and business revenue, collect qualitative data on local people’s perceptions and experiences, and analyze local and national media coverage of the development.
The aim is to gain as thorough an understanding as possible of the case and its context.
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In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.
How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis , with separate sections or chapters for the methods , results and discussion .
Others are written in a more narrative style, aiming to explore the case from various angles and analyze its meanings and implications (for example, by using textual analysis or discourse analysis ).
In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.
If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.
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Business case studies serve as practical models of how to explore, understand, and analyze a problem and to develop the best solution strategy. | |
1. Case studies allow a company to use storytelling to bring their product to life 2. Case studies provide peer-to-peer influence 3. Case studies offer real-life examples 4. Case studies are powerful word-of-mouth advertising
SOURCE: | 2. Findings 3. Discussion 4. Conclusion 5. Recommendations 6. Implementation
SOURCE:
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1. Be Realistic About the Goals for Your Case Study 2. Identify a Compelling Angle for Your Case Study 3. …But Make Your Case Study Relatable to ALL Prospects 4. Follow the Classic Narrative Arc in Your Case Study 5. Use Data to Illustrate Key Points in Your Case Study 6. Frame Your Business as a Supporting Character in Your Case Studies 7. Let Your Clients Tell Their Own Stories in Case Studies
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As I mentioned in a recent newsletter, we were issued a challenge by Haier's Model Institute (HMI), Gary Hamel & Michele Zanini's MLab, and Thinkers50's Business Ecosystem Alliance (BEA): identify 50 self-managed organizations that embody the principles of RenDanHeYi in their work structures. We didn’t just accept the challenge—we embraced it wholeheartedly.
Together with our community and our colleague Svetla, we set out to create case studies on self-managing companies, along with a few innovative subsidiaries operating within more traditional frameworks. These are companies we know intimately, organizations we’ve built strong relationships with, and ones that allowed us to dig deep into their practices.
Before diving into the details, let’s clarify: What is RenDanHeYi? Conceived by Haier Group CEO Zhang Ruimin in 2005, RenDanHeYi is a groundbreaking management philosophy that aims to dismantle traditional hierarchical corporate structures, replacing them with highly adaptive, customer-centric ecosystems. It’s all about alignment: aligning employees (Ren) and their entrepreneurial capabilities with customer needs (Dan) to generate value, while emphasizing individual accountability and fluid organizational roles (HeYi). The model breaks down conventional silos, fostering a network of independent micro-enterprises within a larger corporate structure, effectively turning the organization into a dynamic startup incubator.
To advance the idea of Zero Distance and the broader philosophy of RenDanHeYi, Haier holds an annual forum to recognize the world's most forward-thinking organizations with the ZeroDX awards. This year, the forum marks its 8th edition, set to take place in Qingdao, Haier’s hometown, on September 20. Collaborating with the BEA and MLab, Haier's HMI will unveil its inaugural list of progressive companies that are operationalizing Zero Distance and related principles.
These organizations are characterized by:
Zero Distance to Customer : Product/service decisions are driven by direct market insights.
Autonomy : Small, empowered teams with full decision-making authority, enabling rapid execution.
Shared Rewards : Everyone within the micro-enterprise shares in its financial success.
That’s why we were tasked with identifying 50 self-managed organizations exemplifying these principles. Over the past few months, we've developed and submitted case studies on 50+ such companies for the ZeroDX awards. Each one stands out in its field, each one is revolutionizing the workplace. We didn’t limit ourselves to a single type; instead, we explored a wide range, covering diverse industries, company sizes, and geographic locations.
Here’s the lineup of self-managing organizations we’ve highlighted so far:
Yes, it’s a long list. Whether all these self-managing companies will win a ZeroDX award isn’t up to us—that’s for Haier, MLab, and BEA to decide. But here’s what we know: every single one of them deserves it. They’re all pushing boundaries in their own unique ways.
For us, compiling these case studies was just the beginning. We’re ramping up to build an extensive database of self-managing companies, with over 1,000 firms and much deeper data on each one.
Stay tuned.
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There appears to be no end of possible use cases for generative AI. While this is exciting, it can also be overwhelming. This means teams need to be intentional in how they use the technology: it’s vital to ask where generative AI can make a meaningful impact on your team's work.
One intriguing application in software engineering is in requirements analysis. It’s an often challenging but overlooked step in the process which, if not done properly, can have many negative downstream consequences.
This article describes a pilot we ran with one of our clients, where we had a team validate the hypothesis that leveraging GenAI to create high-quality user stories can lead to shorter lead times and higher quality for requirements analysis. In this case study we put that hypothesis to the test; we’ll explain what we did and what we found out.
After picking this team as a pilot, we ran a workshop with them to identify which tasks could be supported with AI. We also worked with them to define what impact we could expect using AI to have. The workshop accomplished two main steps:
1. Find tasks suitable for meaningful AI support
The team discussed which tasks they are doing frequently and/or with a certain amount of pain or difficulty. They then picked a subset of tasks with high value and feasibility for AI assistance. One of the tasks picked was requirements analysis, because the team works in a relatively complex domain and often have to do rework later in the development process due to missed edge cases or requirements being misunderstood.
2. Define hypotheses and expected outcomes
In the second step of the workshop, the team defined the goals they expect to achieve by using AI. Here is the hypothesis for requirements analysis:
Writing epics and stories |
We utilized an accelerator from our service toolkit to help with the implementation of the AI assistance. The HaivenTM team assistant is an accelerator we use with our clients for a lean way to pilot the use of AI assistance for software delivery teams. In this case it provided users AI capabilities to integrate reusable prompts with contextual information about their domain and architecture.
The team’s business analyst (BA) and quality analyst (QA) were the main users of the tool. They’re both experienced in their craft and have been working on this particular team for quite a while. During this pilot, they used the tool to break down the requirements of three new epics into user stories. Each epic was about building additional capability for an existing feature.
One of the key learnings was about just how much context the team needed to provide the AI to be useful. Haiven was helpful here as it allowed users to define reusable context descriptions that could then be pulled in by a user for each conversation with the AI. This meant they didn’t have to repeat the same contextual information in every single interaction.
As we’ve mentioned already, this team was working in a relatively complex domain, and the epics were about expanding the capabilities of an existing feature. So, initially, they spent some time on describing the domain and architecture for the AI in a way that could be reused every time they asked the AI for assistance. The resulting context gave both a general description of the logic and domain language and also specified how the current feature actually works, to allow AI to help with the expansion of those features.
This significantly improved the results they got, but also showed that an initial investment was necessary to make the AI useful in their situation. Similar to coding assistants, it’s harder to use AI for changing existing requirements than for designing brand new features from scratch.
Initially, users struggled with how to interact effectively with the AI. Discovering the non-determinism of LLM responses and understanding the implications of that required a learning curve. Over time, users adjusted their expectations of the outcomes and became more comfortable with the AI as an assistant, as opposed to a piece of software that gives them perfect artifacts. They also learned how to ask the AI to course correct in a chat conversation when they found that initial outputs were incorrect or flawed.
Developers often report “review fatigue” when working with coding assistants, so we also asked the BA and QA about their experience when reviewing AI outputs. They reported that it wasn’t too cumbersome to review the scenarios, at least not with their level of experience.
We found that it’s even harder to measure the impact of AI in this area than it is for coding assistants.
These tasks aren’t done as frequently as coding, so improving them doesn’t have the type of impact on a team that can be measured separately.
Epics are even less comparable units of work than stories or technical tasks; this means it’s hard to compare them with historical data.
One of the indicators of requirements analysis quality is the amount of times stories get blocked for clarification, or bounce back and forth in a team’s workflow because they are incomplete or unclear. This type of data is usually not tracked in a very fine-granular way, as that would make processes and task boards very complicated.
However, just because something can’t be measured quantitatively, it doesn’t mean it’s not valuable! The following observations about quality and speed are based on estimations of the AI users in this case.
To reiterate, part of the hypothesis was that using AI for requirements analysis would lead to shorter lead times, reduce rework and result in fewer stories being blocked for further clarification.
The BA reported they could go into discussions with developers with greater confidence, thanks to their preparation being more effective and comprehensive due to the AI assistant. They were able to answer the questions that came from developers in the estimation session, and didn’t have to go another round of filling gaps in the analysis.
The QA found that once the context was well-defined, the AI-generated acceptance criteria and testing scenarios were better than what they could have produced by themselves. They estimated that when they started testing the developer work, they found ~10% fewer bugs and reasons for rework than usual, because edge case scenarios were better covered in story definitions.
While the sample size of three epics makes it challenging to draw any definitive conclusions, the team estimates that there was a reduction in analysis time of ~20%, despite the time required to create the context. The expectation is that as context creation becomes more streamlined, and contexts can be reused, which means time savings will be more significant in the future.
In summary, this case study shows that AI can bring benefits to quality, speed and overall team flow. In this particular organization, the approach will next be used on a few more teams, with different experience levels and different processes, to see if the learnings can be reproduced, and if further gains in effectiveness can be made.
This — as well as other experiences of using AI on software teams — confirmed to us once more that context orchestration is key when thinking about this space.
The team described here works in a relatively complex and unusual domain, and they found AI wasn't really helpful to them until they fed it with more elaborate descriptions of that domain context. This barrier is much lower for teams who work in commonplace domains like e-commerce or customer data management as the model training data can usually be helpful for a wide range of use cases in those domains without extra nudging.
Haiven supports semi-manual curation and lets you reuse context descriptions: The team described the domain as part of the prompts, and indexed the relevant parts of their wiki documentation for the assistant application. While this requires some effort to set up, it’s nevertheless a lean and easy way to explore AI's potential in this space. However, we're closely monitoring the software tools market for innovation in more automated and intelligent context orchestration, to best consult our clients on how to get the most out of AI on their software teams.
Codebases contain the ultimate truth about how an application works. It’s always better than documentation or descriptions that are potentially out of date or inaccurate. Beyond the scope of this case study, there are interesting and powerful ways to provide AI with context about a codebase that we have used with clients, which let users ask questions about that codebase without needing to understand or browse the code. The team didn’t use such a tool in this instance, but the potential is obvious, especially for specifying changes to existing features.
Disclaimer: The statements and opinions expressed in this article are those of the author(s) and do not necessarily reflect the positions of Thoughtworks.
In the face of growing sustainability demands in the construction industry, Mowall emerges as an innovative solution aimed at reducing the environmental impact of building materials. Mowall is a modular partition wall system designed to transform waste into valuable, sustainable interior solutions.
By extending the lifecycle of particle boards and plywood, Mowall offers a system that is not only visually appealing but also aligns with the sustainability goals of modern workspaces and exhibitions.
Mowall was developed with two primary objectives:
To create a modular wall system that meets the increasing demand for flexible and sustainable interior solutions.
To minimize carbon emissions by optimizing production processes and utilizing recycled materials.
At the heart of Mowall lies a deep commitment to sustainability, addressing the critical issue of waste management in Europe, where over 8 billion tonnes of furniture are disposed of each year. Mowall takes a proactive approach to repurpose waste materials that would otherwise contribute to landfill and CO2 emissions.
Mowall modules are crafted from 100% recycled particle boards or plywood, materials that would typically end up in landfills or incineration.
The design of Mowall modular walls adheres to eco-design principles, ensuring minimal environmental impact throughout their lifecycle. Additionally, Mowall includes traceability features, allowing customers to track the origins and environmental footprint of the materials used.
By recycling furniture waste instead of incinerating it, Mowall saves approximately 804.3 kg of CO2 emissions. When factoring in the avoided use of new materials, the total CO2 savings rise to 1,128.4 kg (N. Skliarov).
Mowall incorporates a reverse logistics system to manage the end-of-life cycle of its products, further enhancing sustainability.
Mowall is particularly well-suited for coworking spaces, exhibitions, and other flexible interior environments. Its modular design allows for easy installation, reconfiguration, and removal, making it ideal for spaces that require frequent updates or changes. Beyond its practical benefits, Mowall’s aesthetic appeal and sustainability credentials make it a preferred choice for architects and designers committed to reducing the environmental impact of their projects.
The deployment of Mowall in various settings is already contributing significantly to waste reduction and lower CO2 emissions in the construction and design industries. Each installation reinforces the broader industry movement towards more sustainable practices.
Mowall exemplifies how reclaimed materials can be transformed into high-performance, sustainable products that meet the needs of modern interior design. By reusing waste plywood and particle board, Mowall not only tackles the critical issue of construction waste but also plays a vital role in reducing CO2 emissions. As the industry continues to seek sustainable solutions, Mowall stands out as a versatile and sustainable option for a wide range of applications.
By incorporating innovative strategies like Mowall, we can move closer to a sustainable future in construction and design, where environmental impact is minimized, and resources are efficiently utilized.
MOWALL on 2050 Materials Platform
The collaboration between 2050 Materials and Knof marks a major milestone in promoting sustainable design and construction practices. By showcasing Knof’s products on the 2050 Materials platform , this partnership aims to accelerate the adoption of sustainable building materials, driving meaningful change in the industry.
Explore Mowall’s properties and material details on the 2050 Materials platform .
Adaptavate is a world leader in developing and industrialising carbon negative construction materials. In this case study we highlight the use of Breathaplasta Universal in Sustainable Workspaces, Europe's leading hub for sustainable companies.
The goal of the Howard Building Science project is to showcase Structural Insulation Panel Systems optimized single-family production homes and help the industry better understand market growth opportunities that align well with climate targets.
Natural Building Systems was commissioned to design and manufacture the wall and roof elements for a new building for the Green Light Trust (GLT) in an under-used car park adjoining woodland near Martlesham, owned by Suffolk County Council.
Findings from Lean In and McKinsey’s annual Women in the Workplace report.
Despite progress in the past decade, gender equity still remains uneven in U.S. companies. Coupled with recent political attacks on the very concept of DEI and declines in corporate commitments to racial and gender equity, there’s concern that the next decade may not bring as much progress as the last one — which is why we need to keep our foot on the accelerator when it comes to achieving gender parity at work. According to the latest Women in the Workplace report from Lean In and McKinsey, many of the tactics experts and scholars have been recommending to company leaders for years have been paying off and yielding progress for women in the workplace.
Ten years ago, I was feeling burned out after leaving a corporate job in the technology industry, where I had faced and witnessed bias, racism, and sexual harassment. The prevailing narrative around me about gender inequality was that women weren’t driven or confident enough to succeed in the workplace. Given that, seeing such ambitious, brilliant women colleagues — particularly women of color — face such inequities felt like cognitive dissonance. And yet the “women need to do better” narrative persisted.
Last updated
15 September 2024
A set of 147 case studies for Edexcel A Level Business Studies Theme 1: Marketing and people
Due to bundle size restrictions, the bundle excludes 1.2.3, 1.2.4 and 1.2.5 but if the bundle is purchased, and you email proof of this (the TES resource receipt email) to [email protected] , I will be happy to email the missing case studies to you.
Each case study relates to a relevant business, contains key points to consider and key discussion points along with a mark scheme and answer structure guidance following the PeCAN-PiE and AJIM models.
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Shortly after a new CEO takes over, uncertainty and fear dampen communication among employees, research by Raffaella Sadun and colleagues shows. Sadun explains the steps organizations can take to get dialogue flowing quickly following a leadership transition.
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Two cases about Hertz claimed top spots in 2021's Top 40 Most Popular Case Studies. Two cases on the uses of debt and equity at Hertz claimed top spots in the CRDT's (Case Research and Development Team) 2021 top 40 review of cases. Hertz (A) took the top spot. The case details the financial structure of the rental car company through the end ...
You can focus on writing amazing case studies that promote your company. Business Case Study Examples 13. How Breakwater Kitchens Achieved a 7% Growth in Sales With Thryv. Breakwater Kitchens struggled with managing their business operations efficiently. They spent a lot of time on manual tasks, such as scheduling appointments and managing ...
For example, the case study quotes the social media manager and project manager's insights regarding team-wide communication and access before explaining in greater detail. Takeaway: Highlight pain points your business solves for its client, and explore that influence in greater detail. 3. EndeavourX and Figma.
HBS Case Selections. Get the perspectives and context you need to solve your toughest work problems with these immersive sets of real-world scenarios from Harvard Business School. Managing Your ...
19. " Bringing an Operator to the Game," by Redapt. This case study example by Redapt is another great demonstration of the power of summarizing your case study's takeaways right at the start of the study. Redapt includes three easy-to-scan columns: "The problem," "the solution," and "the outcome.".
Undaunted by global disruption, a logistics company embraces bold transformation. December 2, 2022 -. ECU Worldwide, one of the largest less-than-container-load shipping companies in the world, chose to innovate during the COVID-19 pandemic, working with McKinsey to become tech enabled and revamp its organizational structure.
Written Case Study. Consider writing your case study in the form of an ebook and converting it to a downloadable PDF. Then, gate the PDF behind a landing page and form that your readers fill out before downloading the piece. This enables your case study to generate leads for your business.
A case study is an in-depth, detailed analysis of a specific real-world situation. For example, a case study can be about an individual, group, event, organization, or phenomenon. The purpose of a case study is to understand its complexities and gain insights into a particular instance or situation. In the context of a business, however, case ...
Case studies are among a company's most effective tools. You're well on your way to mastering them. Today's buyers are tackling much of the case study research methodology independently. Many are understandably skeptical before making a buying decision. By connecting them with multiple case studies, you can prove you've gotten the results you ...
Case study examples. While templates are helpful, seeing a case study in action can also be a great way to learn. Here are some examples of how Adobe customers have experienced success. Juniper Networks. One example is the Adobe and Juniper Networks case study, which puts the reader in the customer's shoes.
The resulting list of case study favorites ranges in topics from operations management and organizational structure to rebel leaders and whodunnit dramas. 1. The Army Crew Team. Emily Michelle David, Assistant Professor of Management, China Europe International Business School (CEIBS)
7. Slack. Slack is one of the most popular instant communication chat tools available right now, and especially after everyone had to work from home during the pandemic, we're guessing a large number of readers are familiar with the platform. Their case studies are, as you'd expect, strong and well-written.
The Case Analysis Coach is an interactive tutorial on reading and analyzing a case study. The Case Study Handbook covers key skills students need to read, understand, discuss and write about cases. The Case Study Handbook is also available as individual chapters to help your students focus on specific skills.
Usually, 2-4 paragraphs + a few bullet points with key results will do. Pro Tip. While, as its name implies, this section comes at the beginning of your case study, write it last. First, craft the rest of your document, then pick the most important bits and compile them into the introductory overview. 2.
Marina Bay Sands case examines the intersection of marketing, operations, and sustainability at the luxury resort. Coffee 2016 fell to second place and a note on Search Fund Company Boards took the third spot. Cases on Shake Shack, Volkswagen, Cadbury, Netflix, Endesa, and the Mayo Clinic rounded out the top ten.
5. Build Your Self-Confidence. Finally, learning through the case study method can build your confidence. Each time you assume a business leader's perspective, aim to solve a new challenge, and express and defend your opinions and decisions to peers, you prepare to do the same in your career. According to a 2022 City Square Associates survey ...
6 QUALITIES OF GREAT CASE WRITERS. Curiosity. Comfort with ambiguity, since cases may have more than one "right" answer. Command of the topic or subject at hand. Ability to relate to the case protagonists. Enthusiasm for the case teaching method. Capacity for finding the drama in a business situation and making it feel personal to students.
Cases published in 2018 on the top 40 list included Marina Bay Sands Hotel (#13), AgBiome (#18), Canary Wharf (#20), Mastercard (#21), and Peabody Museum (#35). Both the Marina Bay Sands and Peabody cases were featured in major student competitions in 2018. The cases on the Top 40 list represent a variety of different business disciplines, as ...
It's been 100 years since Harvard Business School began using the case study method. Beyond teaching specific subject matter, the case study method excels in instilling meta-skills in students.
Although case studies have been discussed extensively in the literature, little has been written about the specific steps one may use to conduct case study research effectively (Gagnon, 2010; Hancock & Algozzine, 2016).Baskarada (2014) also emphasized the need to have a succinct guideline that can be practically followed as it is actually tough to execute a case study well in practice.
A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research. A case study research design usually involves qualitative methods, but quantitative methods are sometimes also used. Case studies are ...
Business case studies serve as practical models of how to explore, understand, and analyze a problem and to develop the best solution strategy. WHY CASE STUDIES ARE GOOD FOR BUSINESS : ANATOMY OF A CASE STUDY -- PROBLEM-ORIENTED METHOD: 1. Case studies allow a company to use storytelling to bring their product to life
Over the past few months, we've developed and submitted case studies on 50+ such companies for the ZeroDX awards. Each one stands out in its field, each one is revolutionizing the workplace. We didn't limit ourselves to a single type; instead, we explored a wide range, covering diverse industries, company sizes, and geographic locations.
In this case it provided users AI capabilities to integrate reusable prompts with contextual information about their domain and architecture. The team's business analyst (BA) and quality analyst (QA) were the main users of the tool. They're both experienced in their craft and have been working on this particular team for quite a while.
SINGAPORE, Sept. 16, 2024 /PRNewswire/ -- Harvard Business School (HBS) has published a case study on DBS' strategy towards Artificial Intelligence (AI), highlighting the bank's use of AI.
SINGAPORE, Sept. 16, 2024 /PRNewswire/ -- Harvard Business School (HBS) has published a case study on DBS' strategy towards Artificial Intelligence (AI), highlighting the bank's use of AI ...
Adaptavate Case Study: Sustainable Workspaces Project - Adopting a Low Impact Design Philosophy. Adaptavate is a world leader in developing and industrialising carbon negative construction materials. In this case study we highlight the use of Breathaplasta Universal in Sustainable Workspaces, Europe's leading hub for sustainable companies ...
Despite progress in the past decade, gender equity still remains uneven in U.S. companies. Coupled with recent political attacks on the very concept of DEI and declines in corporate commitments to ...
A set of 147 case studies for Edexcel A Level Business Studies Theme 1: Marketing and people (excluding 1.2.3, 1.2.4 and 1.2.5). Each case study relates to a relevant business, contains key points to consider and key discussion points along with a mark scheme and answer structure guidance following the PeCAN-PiE and AJIM models.
Harvard Business School Working Knowledge Baker Library | Bloomberg Center Soldiers Field Boston, MA 02163 Email: Editor-in-Chief