Typically a case study presents a vague sounding management problem for a specific business. Often it may be an issue that the top brass of the company (CEO, CFO level) is facing.
This is followed by a whole lot of objective and subjective data. This could include a brief history of the company on which the case study example is based, the financial data (balance sheet, profit and loss account). There could also be a whole lot of supporting data about the size of the company (for example, thenumber of employees, locations, products).
Often, at the first glance the sheer volume of data might be overwhelming. The challenge for you, is to cut through the data and filter out the information that’s relevant for the case.
Examples of Case Studies
A case study on marketing could focus on entering a new market, or tackling the influx of cheaper competing services, or working on the optimal pricing for the existing products of a consumer goods company.
Finance case study examples could talk about evaluating the cash flow status for a company and defining a strategy to improve the accounts receivable (AR) policies, or you might be thinking about the best mix of debt and equity for the company.
Case studies on operations may include improving the efficiency of a manufacturing unit, working on the right mix of inventory and finished goods, or the decision to re-engineer the supply chain management system and reduce the dependency of global raw materials.
The fun starts when you move to strategy case studies, where the problems and the potential solutions can span across domains from finance to marketing and everything in between.
Want to check out some real case studies and examples from the best business schools?
Here’s a list of free and paid case studies from: Harvard | Stanford | London Business School | IMD | Darden
Harvard Business School Case Study
If you are curious to get a peek into how the best in the business use the case study to facilitate management learning, check out this video.
The professor in the video might seem to have consumed a few extra cups of coffee before the session. But apart from being energetic, it does help if the professor has the ability to get the class energised and engaged.
Active participation during case studies is highly encouraged and most students do. Why so? Coz class participation in case studies counts towards grading. If Coffee Anna is happy with what you say, you get extra points.
The flipside is that this may seem like torture for introverts and folks who don’t like their voices echoing in the class with a few hundred pair of eyes dissecting their every move, waiting to pounce in with a counter-argument.
Love it or hate it, if you are preparing to join bschool, get mentally and intellectually ready to grill and be grilled. And this is the easy part. Doing business in the real world gets tougher.
Over to you now. What is the one top reason why you’d like or dislike it?
Also read: – Case interview sample question and answer tips – Mergers & Acquisitions – written by Marc Cosentino (Author – Case in Point) – Case competitions benefits and preparation tips
4 thoughts on “Case Study Method: Why & how the best business schools use it”
Hi Sameer, 1. How were the % calculated or sourced from, for the “case study method” %, and the other method %s ? 2. Why do some of the schools’ % contributions not add up to 100%, eg. Stanford? 3. Could you please include or point me to % based breakup of pedagogy similarly, of ISB and the IIMs ? (e.g. ISB and IIM-A use case study – and I’d like to know, how much) Thanks, HNP
@hnp: As mentioned just below the table, these were sourced from a survey done by Poets & Quants. Some schools have additional ways of grading students that haven’t been included in these 4 columns. That’s why they don’t add up to 100% We don’t have similar data for the Indian bschools. If you happen to find it anywhere it’ll be great if you could come back here and share.
how can i get case studies for practice
Case-in-point by Marc Cosentino is a great resource.
Leave a Comment Cancel reply
Effective Problem-Solving Techniques in Business
Problem solving is an increasingly important soft skill for those in business. The Future of Jobs Survey by the World Economic Forum drives this point home. According to this report, complex problem solving is identified as one of the top 15 skills that will be sought by employers in 2025, along with other soft skills such as analytical thinking, creativity and leadership.
Dr. Amy David , clinical associate professor of management for supply chain and operations management, spoke about business problem-solving methods and how the Purdue University Online MBA program prepares students to be business decision-makers.
Why Are Problem-Solving Skills Essential in Leadership Roles?
Every business will face challenges at some point. Those that are successful will have people in place who can identify and solve problems before the damage is done.
“The business world is constantly changing, and companies need to be able to adapt well in order to produce good results and meet the needs of their customers,” David says. “They also need to keep in mind the triple bottom line of ‘people, profit and planet.’ And these priorities are constantly evolving.”
To that end, David says people in management or leadership need to be able to handle new situations, something that may be outside the scope of their everyday work.
“The name of the game these days is change—and the speed of change—and that means solving new problems on a daily basis,” she says.
The pace of information and technology has also empowered the customer in a new way that provides challenges—or opportunities—for businesses to respond.
“Our customers have a lot more information and a lot more power,” she says. “If you think about somebody having an unhappy experience and tweeting about it, that’s very different from maybe 15 years ago. Back then, if you had a bad experience with a product, you might grumble about it to one or two people.”
David says that this reality changes how quickly organizations need to react and respond to their customers. And taking prompt and decisive action requires solid problem-solving skills.
What Are Some of the Most Effective Problem-Solving Methods?
David says there are a few things to consider when encountering a challenge in business.
“When faced with a problem, are we talking about something that is broad and affects a lot of people? Or is it something that affects a select few? Depending on the issue and situation, you’ll need to use different types of problem-solving strategies,” she says.
Using Techniques
There are a number of techniques that businesses use to problem solve. These can include:
Five Whys : This approach is helpful when the problem at hand is clear but the underlying causes are less so. By asking “Why?” five times, the final answer should get at the potential root of the problem and perhaps yield a solution.
Gap Analysis : Companies use gap analyses to compare current performance with expected or desired performance, which will help a company determine how to use its resources differently or adjust expectations.
Gemba Walk : The name, which is derived from a Japanese word meaning “the real place,” refers to a commonly used technique that allows managers to see what works (and what doesn’t) from the ground up. This is an opportunity for managers to focus on the fundamental elements of the process, identify where the value stream is and determine areas that could use improvement.
Porter’s Five Forces : Developed by Harvard Business School professor Michael E. Porter, applying the Five Forces is a way for companies to identify competitors for their business or services, and determine how the organization can adjust to stay ahead of the game.
Six Thinking Hats : In his book of the same name, Dr. Edward de Bono details this method that encourages parallel thinking and attempting to solve a problem by trying on different “thinking hats.” Each color hat signifies a different approach that can be utilized in the problem-solving process, ranging from logic to feelings to creativity and beyond. This method allows organizations to view problems from different angles and perspectives.
SWOT Analysis : This common strategic planning and management tool helps businesses identify strengths, weaknesses, opportunities and threats (SWOT).
“We have a lot of these different tools,” David says. “Which one to use when is going to be dependent on the problem itself, the level of the stakeholders, the number of different stakeholder groups and so on.”
Each of the techniques outlined above uses the same core steps of problem solving:
Identify and define the problem
Consider possible solutions
Evaluate options
Choose the best solution
Implement the solution
Evaluate the outcome
Data drives a lot of daily decisions in business and beyond. Analytics have also been deployed to problem solve.
“We have specific classes around storytelling with data and how you convince your audience to understand what the data is,” David says. “Your audience has to trust the data, and only then can you use it for real decision-making.”
Data can be a powerful tool for identifying larger trends and making informed decisions when it’s clearly understood and communicated. It’s also vital for performance monitoring and optimization.
How Is Problem Solving Prioritized in Purdue’s Online MBA?
The courses in the Purdue Online MBA program teach problem-solving methods to students, keeping them up to date with the latest techniques and allowing them to apply their knowledge to business-related scenarios.
“I can give you a model or a tool, but most of the time, a real-world situation is going to be a lot messier and more valuable than what we’ve seen in a textbook,” David says. “Asking students to take what they know and apply it to a case where there’s not one single correct answer is a big part of the learning experience.”
Make Your Own Decision to Further Your Career
An online MBA from Purdue University can help advance your career by teaching you problem-solving skills, decision-making strategies and more. Reach out today to learn more about earning an online MBA with Purdue University .
If you would like to receive more information about pursuing a business master’s at the Mitchell E. Daniels, Jr. School of Business, please fill out the form and a program specialist will be in touch!
Connect With Us
Information
Author Services
Initiatives
You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess .
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
Active Journals
Find a Journal
Proceedings Series
For Authors
For Reviewers
For Editors
For Librarians
For Publishers
For Societies
For Conference Organizers
Open Access Policy
Institutional Open Access Program
Special Issues Guidelines
Editorial Process
Research and Publication Ethics
Article Processing Charges
Testimonials
Preprints.org
SciProfiles
Encyclopedia
Article Menu
Subscribe SciFeed
Recommended Articles
Author Biographies
Google Scholar
on Google Scholar
Table of Contents
Find support for a specific problem in the support section of our website.
Please let us know what you think of our products and services.
Visit our dedicated information section to learn more about MDPI.
JSmol Viewer
Transforming digital marketing with generative ai.
1. Introduction
2. background, 2.1. personalisation in digital marketing, 2.2. recommender system, 2.3. social media marketing, 2.4. search engine marketing, 2.5. email marketing, 2.6. concerns with digital marketing, 2.7. generative ai, 3. proposed framework, 3.1. defining marketing aim, 3.2. data collection, 3.3. data processing, 3.4. designing generative ai models, 3.5. training generative ai models, 3.6. evaluating generative ai models, 3.7. deploying generative ai models.
The framework aims to provide guidance for the digital marketing process, and there is no strict order to follow the stages in the process. This allows the unique demands of each project to be adapted and, therefore, ensures that specific marketing objectives can be addressed in the most efficient manner possible.
The process is iterative, meaning that steps can be repeated as necessary to refine and enhance outcomes. This enables continuous improvement and optimisation, allowing for adjustments based on new data, insights, or changes in the market.
Furthermore, the framework is only conceptual, and the process can be rolled back to previous stages at any time, ensuring a high degree of adaptability and responsiveness in their digital marketing efforts.
4. Case Study 1: Virtual Try-On
4.1. marketing aim, 4.2. data collection, 4.3. data processing, 4.4. model design, 4.5. model training, 4.6. evaluation, 4.7. deployment, 4.8. summary, 5. case study 2: image-to-video generation, 5.1. marketing aim, 5.2. data collection, 5.3. data processing, 5.4. model design, 5.5. model training, 5.6. evaluation, 5.7. deployment, 5.8. summary, 6. discussions, 7. conclusions, author contributions, data availability statement, conflicts of interest.
Desai, V.; Vidyapeeth, B. Digital marketing: A review. Int. J. Trend Sci. Res. Dev. 2019 , 5 , 196–200. [ Google Scholar ] [ CrossRef ]
Filo, K.; Lock, D.; Karg, A. Sport and social media research: A review. Sport Manag. Rev. 2015 , 18 , 166–181. [ Google Scholar ] [ CrossRef ]
Saxena, A.; Khanna, U. Advertising on social network sites: A structural equation modelling approach. Vision 2013 , 17 , 17–25. [ Google Scholar ] [ CrossRef ]
Nelson-Field, K.; Riebe, E.; Sharp, B. More mutter about clutter: Extending empirical generalizations to Facebook. J. Advert. Res. 2013 , 53 , 186–191. [ Google Scholar ] [ CrossRef ]
Khraim, H.S. The impact of search engine optimization on online advertisement: The case of companies using E-Marketing in Jordan. Am. J. Bus. Manag. 2015 , 4 , 76–84. [ Google Scholar ] [ CrossRef ]
Sahni, N.S.; Wheeler, S.C.; Chintagunta, P. Personalization in email marketing: The role of noninformative advertising content. Mark. Sci. 2018 , 37 , 236–258. [ Google Scholar ] [ CrossRef ]
Alalwan, A.A.; Rana, N.P.; Dwivedi, Y.K.; Algharabat, R. Social media in marketing: A review and analysis of the existing literature. Telemat. Inform. 2017 , 34 , 1177–1190. [ Google Scholar ] [ CrossRef ]
Krishen, A.S.; Dwivedi, Y.K.; Bindu, N.; Kumar, K.S. A broad overview of interactive digital marketing: A bibliometric network analysis. J. Bus. Res. 2021 , 131 , 183–195. [ Google Scholar ] [ CrossRef ]
Kim, K.H. Digital and social media marketing in global business environment. J. Bus. Res. 2021 , 131 , 627–629. [ Google Scholar ] [ CrossRef ]
Yasmin, A.; Tasneem, S.; Fatema, K. Effectiveness of digital marketing in the challenging age: An empirical study. Int. J. Manag. Sci. Bus. Adm. 2015 , 1 , 69–80. [ Google Scholar ] [ CrossRef ]
Bala, M.; Verma, D. A critical review of digital marketing. Int. J. Manag. IT Eng. 2018 , 8 , 321–339. [ Google Scholar ]
Aguirre, E.; Mahr, D.; Grewal, D.; De Ruyter, K.; Wetzels, M. Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. J. Retail. 2015 , 91 , 34–49. [ Google Scholar ] [ CrossRef ]
Taylor, D.G.; Lewin, J.E.; Strutton, D. Friends, fans, and followers: Do ads work on social networks?: How gender and age shape receptivity. J. Advert. Res. 2011 , 51 , 258–275. [ Google Scholar ] [ CrossRef ]
Kshetri, N.; Voas, J. Online advertising fraud. Computer 2019 , 52 , 58–61. [ Google Scholar ] [ CrossRef ]
Yang, X. The effects of AI service quality and AI function-customer ability fit on customer’s overall co-creation experience. Ind. Manag. Data Syst. 2023 , 123 , 1717–1735. [ Google Scholar ] [ CrossRef ]
Dwivedi, Y.K.; Hughes, L.; Ismagilova, E.; Aarts, G.; Coombs, C.; Crick, T.; Duan, Y.; Dwivedi, R.; Edwards, J.; Eirug, A.; et al. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int. J. Inf. Manag. 2021 , 57 , 101994. [ Google Scholar ] [ CrossRef ]
Kshetri, N.; Dwivedi, Y.K.; Davenport, T.H.; Panteli, N. Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. Int. J. Inf. Manag. 2023 , 18 , 102716. [ Google Scholar ] [ CrossRef ]
Soni, V. Adopting Generative AI in Digital Marketing Campaigns: An Empirical Study of Drivers and Barriers. Sage Sci. Rev. Appl. Mach. Learn. 2023 , 6 , 1–15. [ Google Scholar ]
Islam, T.; Miron, A.; Liu, X.; Li, Y. Svton: Simplified virtual try-on. In Proceedings of the 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Nassau, Bahamas, 12–14 December 2022; IEEE: Piscataway, NJ, USA, 2022; pp. 369–374. [ Google Scholar ]
Islam, T.; Miron, A.; Liu, X.; Li, Y. StyleVTON: A Multi-Pose Virtual Try-On with Identity and Clothing Detail Preservation. Neurocomputing 2024 , 594 , 127887. [ Google Scholar ] [ CrossRef ]
Islam, T.; Miron, A.; Liu, X.; Li, Y. FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery. arXiv 2023 , arXiv:2310.00106. [ Google Scholar ]
Islam, T.; Miron, A.; Liu, X.; Li, Y. Deep Learning in Virtual Try-On: A Comprehensive Survey. IEEE Access 2024 , 12 , 29475–29502. [ Google Scholar ] [ CrossRef ]
De Keyzer, F.; Dens, N.; De Pelsmacker, P. Is this for me? How consumers respond to personalized advertising on social network sites. J. Interact. Advert. 2015 , 15 , 124–134. [ Google Scholar ] [ CrossRef ]
Lin, C.A.; Kim, T. Predicting user response to sponsored advertising on social media via the technology acceptance model. Comput. Hum. Behav. 2016 , 64 , 710–718. [ Google Scholar ] [ CrossRef ]
Lu, J.; Wu, D.; Mao, M.; Wang, W.; Zhang, G. Recommender system application developments: A survey. Decis. Support Syst. 2015 , 74 , 12–32. [ Google Scholar ] [ CrossRef ]
Deshpande, M.; Karypis, G. Item-based top-n recommendation algorithms. ACM Trans. Inf. Syst. (TOIS) 2004 , 22 , 143–177. [ Google Scholar ] [ CrossRef ]
Pazzani, M.J.; Billsus, D. Content-based recommendation systems. In The Adaptive Web: Methods and Strategies of Web Personalization ; Springer: Berlin/Heidelberg, Germany, 2007; pp. 325–341. [ Google Scholar ]
Burke, R. Hybrid recommender systems: Survey and experiments. User Model. User-Adapt. Interact. 2002 , 12 , 331–370. [ Google Scholar ] [ CrossRef ]
Lee, J.; Hong, I.B. Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity. Int. J. Inf. Manag. 2016 , 36 , 360–373. [ Google Scholar ] [ CrossRef ]
Okazaki, S.; Taylor, C.R. Social media and international advertising: Theoretical challenges and future directions. Int. Mark. Rev. 2013 , 30 , 56–71. [ Google Scholar ] [ CrossRef ]
Swani, K.; Milne, G.R.; Brown, B.P.; Assaf, A.G.; Donthu, N. What messages to post? Evaluating the popularity of social media communications in business versus consumer markets. Ind. Mark. Manag. 2017 , 62 , 77–87. [ Google Scholar ] [ CrossRef ]
Kumar, V.; Mirchandani, R. Increasing the ROI of social media marketing. IEEE Eng. Manag. Rev. 2013 , 41 , 17–23. [ Google Scholar ] [ CrossRef ]
Wu, C.W. The performance impact of social media in the chain store industry. J. Bus. Res. 2016 , 69 , 5310–5316. [ Google Scholar ] [ CrossRef ]
Barreto, A.M. The word-of-mouth phenomenon in the social media era. Int. J. Mark. Res. 2014 , 56 , 631–654. [ Google Scholar ] [ CrossRef ]
Anandhan, A.; Shuib, L.; Ismail, M.A.; Mujtaba, G. Social media recommender systems: Review and open research issues. IEEE Access 2018 , 6 , 15608–15628. [ Google Scholar ] [ CrossRef ]
Campana, M.G.; Delmastro, F. Recommender systems for online and mobile social networks: A survey. Online Soc. Netw. Media 2017 , 3 , 75–97. [ Google Scholar ] [ CrossRef ]
García-Sánchez, F.; Colomo-Palacios, R.; Valencia-García, R. A social-semantic recommender system for advertisements. Inf. Process. Manag. 2020 , 57 , 102153. [ Google Scholar ] [ CrossRef ]
Thelwall, M. Commercial web site links. Internet Res. 2001 , 11 , 114–124. [ Google Scholar ] [ CrossRef ]
Sharma, D.; Shukla, R.; Giri, A.K.; Kumar, S. A brief review on search engine optimization. In Proceedings of the 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India, 10–11 January 2019; IEEE: Piscataway, NJ, USA, 2019; pp. 687–692. [ Google Scholar ]
Kritzinger, W.T.; Weideman, M. Search engine optimization and pay-per-click marketing strategies. J. Organ. Comput. Electron. Commer. 2013 , 23 , 273–286. [ Google Scholar ] [ CrossRef ]
Kapoor, K.K.; Dwivedi, Y.K.; Piercy, N.C. Pay-per-click advertising: A literature review. Mark. Rev. 2016 , 16 , 183–202. [ Google Scholar ] [ CrossRef ]
Farris, P.W.; Bendle, N.; Pfeifer, P.E.; Reibstein, D. Marketing Metrics: The Definitive Guide to Measuring Marketing Performance ; Pearson Education: London, UK, 2010. [ Google Scholar ]
Sen, R. Optimal search engine marketing strategy. Int. J. Electron. Commer. 2005 , 10 , 9–25. [ Google Scholar ] [ CrossRef ]
Chaffey, D.; Ellis-Chadwick, F. Digital Marketing: Strategy ; Smart Insights (Marketing Intelligence) Limited: London, UK, 2012. [ Google Scholar ]
Lambrecht, A.; Tucker, C. When does retargeting work? Information specificity in online advertising. J. Mark. Res. 2013 , 50 , 561–576. [ Google Scholar ] [ CrossRef ]
Palmer, D.E. Pop-ups, cookies, and spam: Toward a deeper analysis of the ethical significance of internet marketing practices. J. Bus. Ethics 2005 , 58 , 271–280. [ Google Scholar ] [ CrossRef ]
Tene, O. What google knows: Privacy and internet search engines. Utah L. Rev. 2008 , 2008 , 1433. [ Google Scholar ] [ CrossRef ]
Ansari, A.; Mela, C.F. E-customization. J. Mark. Res. 2003 , 40 , 131–145. [ Google Scholar ] [ CrossRef ]
Graham, S. How to Balance Consumer Privacy and Personalization in Marketing ; FreakOut Pte. Ltd.: Singapore, 2020. [ Google Scholar ]
Nuseir, M.T.; El Refae, G.A.; Aljumah, A.; Alshurideh, M.; Urabi, S.; Kurdi, B.A. Digital Marketing Strategies and the Impact on Customer Experience: A Systematic Review. In The Effect of Information Technology on Business and Marketing Intelligence Systems ; Springer: Berlin/Heidelberg, Germany, 2023; pp. 21–44. [ Google Scholar ]
Martynenko, M.; Losheniuk, O.; Demchenko, H.; Osypenko, N. Developing and implementing digital marketing strategies of the future: Toward improving product quality and competitiveness. Futur. Econ. Law 2023 , 3 , 63–84. [ Google Scholar ]
Munro, J.; Richards, B. The digital challenge. In Destination Brands ; Routledge: London, UK, 2012; pp. 141–154. [ Google Scholar ]
Kushwaha, B.P. Search engine marketing a new way of marketing in digital age. Palarch’s J. Archaeol. Egypt/Egyptol. 2020 , 17 , 2053–2065. [ Google Scholar ]
Taken Smith, K. Longitudinal study of digital marketing strategies targeting Millennials. J. Consum. Mark. 2012 , 29 , 86–92. [ Google Scholar ] [ CrossRef ]
Parise, S.; Guinan, P.J.; Kafka, R. Solving the crisis of immediacy: How digital technology can transform the customer experience. Bus. Horizons 2016 , 59 , 411–420. [ Google Scholar ] [ CrossRef ]
Rawson, A.; Duncan, E.; Jones, C. The truth about customer experience. Harv. Bus. Rev. 2013 , 91 , 90–98. [ Google Scholar ]
Edelman, D.; Heller, J. How digital marketing operations can transform business. McKinsey Digit. 2015 , 20036 . Available online: https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/Marketing%20and%20Sales/Our%20Insights/How%20digital%20marketing%20operations%20can%20transform%20business/McK_How_digital_marketing_operations_ca_transform_business.pdf (accessed on 6 May 2024).
Shrestha, Y.R.; Krishna, V.; von Krogh, G. Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges. J. Bus. Res. 2021 , 123 , 588–603. [ Google Scholar ] [ CrossRef ]
Whang, S.E.; Lee, J.G. Data collection and quality challenges for deep learning. Proc. Vldb Endow. 2020 , 13 , 3429–3432. [ Google Scholar ] [ CrossRef ]
Moens, M.F.; Li, J.; Chua, T.S. Mining User Generated Content ; CRC Press: Boca Raton, FL, USA, 2014. [ Google Scholar ]
Liu, Y.; Jiang, C.; Zhao, H. Assessing product competitive advantages from the perspective of customers by mining user-generated content on social media. Decis. Support Syst. 2019 , 123 , 113079. [ Google Scholar ] [ CrossRef ]
Cao, Y.; Li, S.; Liu, Y.; Yan, Z.; Dai, Y.; Yu, P.S.; Sun, L. A comprehensive survey of ai-generated content (aigc): A history of generative ai from gan to chatgpt. arXiv 2023 , arXiv:2303.04226. [ Google Scholar ]
Kingma, D.P.; Welling, M. Auto-encoding variational bayes. arXiv 2013 , arXiv:1312.6114. [ Google Scholar ]
Goodfellow, I.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A.; Bengio, Y. Generative adversarial nets. Adv. Neural Inf. Process. Syst. 2014 , 27 . Available online: https://proceedings.neurips.cc/paper_files/paper/2014/file/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf (accessed on 6 May 2024).
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A.N.; Kaiser, Ł.; Polosukhin, I. Attention is all you need. Adv. Neural Inf. Process. Syst. 2017 , 30 . Available online: https://proceedings.neurips.cc/paper_files/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf (accessed on 9 May 2024).
GitHub: Let’s Build from Here. Available online: https://github.com/ (accessed on 6 May 2024).
Hugging Face—The AI Community Building the Future. Available online: https://huggingface.co/ (accessed on 6 May 2024).
PyTorch. Available online: https://pytorch.org/ (accessed on 6 May 2024).
TensorFlow. Available online: https://www.tensorflow.org/ (accessed on 6 May 2024).
Caffe|Deep Learning Framework. Available online: https://caffe.berkeleyvision.org/ (accessed on 6 May 2024).
Ying, X. An overview of overfitting and its solutions. In Proceedings of the Journal of Physics: Conference Series; International Conference on Computer Information Science and Application Technology (CISAT); IOP Publishing: Daqing, China, 2019; Volume 1168, p. 022022. [ Google Scholar ]
Kingma, D.P.; Ba, J. Adam: A method for stochastic optimization. arXiv 2014 , arXiv:1412.6980. [ Google Scholar ]
Ruder, S. An overview of gradient descent optimization algorithms. arXiv 2016 , arXiv:1609.04747. [ Google Scholar ]
Aszemi, N.M.; Dominic, P. Hyperparameter optimization in convolutional neural network using genetic algorithms. Int. J. Adv. Comput. Sci. Appl. 2019 , 10 . Available online: https://thesai.org/Publications/ViewPaper?Volume=10&Issue=6&Code=IJACSA&SerialNo=38 (accessed on 9 May 2024). [ CrossRef ]
Hochreiter, S.; Schmidhuber, J. Long short-term memory. Neural Comput. 1997 , 9 , 1735–1780. [ Google Scholar ] [ CrossRef ] [ PubMed ]
Cho, K.; Van Merriënboer, B.; Gulcehre, C.; Bahdanau, D.; Bougares, F.; Schwenk, H.; Bengio, Y. Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv 2014 , arXiv:1406.1078. [ Google Scholar ]
Yang, L.; Shami, A. On hyperparameter optimization of machine learning algorithms: Theory and practice. Neurocomputing 2020 , 415 , 295–316. [ Google Scholar ] [ CrossRef ]
Han, X.; Wu, Z.; Wu, Z.; Yu, R.; Davis, L.S. Viton: An image-based virtual try-on network. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA, 18–22 June 2018; pp. 7543–7552. [ Google Scholar ]
Wang, B.; Zheng, H.; Liang, X.; Chen, Y.; Lin, L.; Yang, M. Toward characteristic-preserving image-based virtual try-on network. In Proceedings of the European Conference on Computer Vision (ECCV), Munich, Germany, 8–14 September 2018; pp. 589–604. [ Google Scholar ]
Chen, H.J.; Hui, K.M.; Wang, S.Y.; Tsao, L.W.; Shuai, H.H.; Cheng, W.H. Beautyglow: On-demand makeup transfer framework with reversible generative network. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, 15–20 June 2019; pp. 10042–10050. [ Google Scholar ]
Ma, L.; Jia, X.; Sun, Q.; Schiele, B.; Tuytelaars, T.; Van Gool, L. Pose guided person image generation. Adv. Neural Inf. Process. Syst. 2017 , 30 . Available online: https://www.researchgate.net/publication/317205156_Pose_Guided_Person_Image_Generation (accessed on 6 May 2024).
Dong, H.; Liang, X.; Shen, X.; Wang, B.; Lai, H.; Zhu, J.; Hu, Z.; Yin, J. Towards multi-pose guided virtual try-on network. In Proceedings of the IEEE/CVF International Conference on Computer Vision, Seoul, Republic of Korea, 27 Octobe–2 November 2019; pp. 9026–9035. [ Google Scholar ]
Hadi Kiapour, M.; Han, X.; Lazebnik, S.; Berg, A.C.; Berg, T.L. Where to buy it: Matching street clothing photos in online shops. In Proceedings of the IEEE International Conference on Computer Vision, Santiago, Chile, 7–13 December 2015; pp. 3343–3351. [ Google Scholar ]
Chen, H.; Gallagher, A.; Girod, B. Describing clothing by semantic attributes. In Proceedings of the Computer Vision—ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, 7–13 October 2012; Proceedings, Part III 12. Springer: Berlin/Heidelberg, Germany, 2012; pp. 609–623. [ Google Scholar ]
Iwata, T.; Watanabe, S.; Sawada, H. Fashion coordinates recommender system using photographs from fashion magazines. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, Barcelona, Spain, 16–22 July 2011. [ Google Scholar ]
Kang, W.C.; Kim, E.; Leskovec, J.; Rosenberg, C.; McAuley, J. Complete the look: Scene-based complementary product recommendation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, 15–20 June 2019; pp. 10532–10541. [ Google Scholar ]
Pachoulakis, I.; Kapetanakiss, K. Augmented reality platforms for virtual fitting rooms. Int. J. Multimed. Its Appl. 2012 , 4 , 35. [ Google Scholar ] [ CrossRef ]
Choi, S.; Park, S.; Lee, M.; Choo, J. Viton-hd: High-resolution virtual try-on via misalignment-aware normalization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville, TN, USA, 19–25 June 2021; pp. 14131–14140. [ Google Scholar ]
Ronneberger, O.; Fischer, P.; Brox, T. U-net: Convolutional networks for biomedical image segmentation. In Proceedings of the Medical Image Computing and Computer-Assisted Intervention—MICCAI 2015: 18th International Conference, Munich, Germany, 5–9 October 2015; Proceedings, Part III 18. Springer: Berlin/Heidelberg, Germany, 2015; pp. 234–241. [ Google Scholar ]
Lensa: AI Photo Editor, Camera—Apps on Google Play. Available online: https://play.google.com/store/apps/details?id=com.lensa.app&hl=en_GB&gl=US (accessed on 13 September 2023).
Zablotskaia, P.; Siarohin, A.; Zhao, B.; Sigal, L. Dwnet: Dense warp-based network for pose-guided human video generation. arXiv 2019 , arXiv:1910.09139. [ Google Scholar ]
Singer, U.; Polyak, A.; Hayes, T.; Yin, X.; An, J.; Zhang, S.; Hu, Q.; Yang, H.; Ashual, O.; Gafni, O.; et al. Make-a-video: Text-to-video generation without text-video data. arXiv 2022 , arXiv:2209.14792. [ Google Scholar ]
Evelina, T.Y.; Kusumawati, A.; Nimran, U. The influence of utilitarian value, hedonic value, social value, and perceived risk on customer satisfaction: Survey of e-commerce customers in Indonesia. Bus. Theory Pract. 2020 , 21 , 613–622. [ Google Scholar ] [ CrossRef ]
Voulodimos, A.; Doulamis, N.; Doulamis, A.; Protopapadakis, E. Deep learning for computer vision: A brief review. Comput. Intell. Neurosci. 2018 , 2018 , 7068349. [ Google Scholar ] [ CrossRef ] [ PubMed ]
Chilimbi, T.; Suzue, Y.; Apacible, J.; Kalyanaraman, K. Project adam: Building an efficient and scalable deep learning training system. In Proceedings of the 11th USENIX symposium on operating systems design and implementation (OSDI 14), Broomfield, CO, USA, 6–8 October 2014; pp. 571–582. [ Google Scholar ]
Click here to enlarge figure
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Share and Cite
Islam, T.; Miron, A.; Nandy, M.; Choudrie, J.; Liu, X.; Li, Y. Transforming Digital Marketing with Generative AI. Computers 2024 , 13 , 168. https://doi.org/10.3390/computers13070168
Islam T, Miron A, Nandy M, Choudrie J, Liu X, Li Y. Transforming Digital Marketing with Generative AI. Computers . 2024; 13(7):168. https://doi.org/10.3390/computers13070168
Islam, Tasin, Alina Miron, Monomita Nandy, Jyoti Choudrie, Xiaohui Liu, and Yongmin Li. 2024. "Transforming Digital Marketing with Generative AI" Computers 13, no. 7: 168. https://doi.org/10.3390/computers13070168
Article Metrics
Article access statistics, further information, mdpi initiatives, follow mdpi.
Subscribe to receive issue release notifications and newsletters from MDPI journals
Case Study Method In Hindi || वैयक्तिक अध्ययन विधि || D.Ed SE (I.D) || All Students || Special BSTC
Case Study Method // for all teaching subjects // B.Ed. course
EP15: Harvard Case Study: Should I Open a Second Location?
Day-2 Case Study Method for better Teaching
Day-2, Case Study Method for better Teaching
COMMENTS
Case Study Method: A Step-by-Step Guide for Business Researchers
Qualitative case study methodology enables researchers to conduct an in-depth exploration of intricate phenomena within some specific context. By keeping in mind research students, this article presents a systematic step-by-step guide to conduct a case study in the business discipline.
What is the Case Study Method?
Celebrating 100 Years of the Case Method at HBS . The 2021-2022 academic year marks the 100-year anniversary of the introduction of the case method at Harvard Business School. Today, the HBS case method is employed in the HBS MBA program, in Executive Education programs, and in dozens of other business schools around the world.
5 Benefits of the Case Study Method
Through the case method, you can "try on" roles you may not have considered and feel more prepared to change or advance your career. 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 ...
What the Case Study Method Really Teaches
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.
The HBS Case Method
The case method prepares you to be in leadership positions where you will face time-sensitive decisions with limited information. Reflecting on each class discussion will prepare you to face these situations in your future roles. ... Harvard Business School Spangler Welcome Center (Spangler 107) Boston, MA 02163 Phone: 1.617.495.6128 Email ...
Case Study Method: A Step-by-Step Guide for Business Researchers
1. Abstract. Qualitative case study methodology enables researchers to conduct an in-depth exploration of intricate phenomena within some. specific context. By keeping in mind research students ...
Case Study Method: A Step-by-Step Guide for Business Researchers
To conclude, there are two main objectives of this study. First is to provide a step-by-step guideline to research students for conducting case study. Second, an analysis of authors' multiple case studies is presented in order to provide an application of step-by-step guideline. This article has been divided into two sections.
Teaching by the Case Method
Play Video. Chris Christensen described case method teaching as "the art of managing uncertainty"—a process in which the instructor serves as "planner, host, moderator, devil's advocate, fellow-student, and judge," all in search of solutions to real-world problems and challenges.. Unlike lectures, case method classes unfold without a detailed script. Successful instructors simultaneously ...
Case Method 100 Years
During the 2021-2022 academic year, HBS celebrates 100 years of teaching and learning by the case method at the School. Case Method 100 Years. Harvard Business School. Boston, MA 02163. → Map & Directions.
What the Case Study Method Really Teaches
It is something students in the case method get lots of practice honing. 5. Collaboration. It is better to make business decisions after extended give-and-take, debate, and deliberation. As in any team sport, people get better at working collaboratively with practice. Discussing cases in small study groups, and then in the classroom, helps ...
How to Write a Great Business Case
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.
What Is a Case Study?
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 Study Methods and Examples
The purpose of case study research is twofold: (1) to provide descriptive information and (2) to suggest theoretical relevance. Rich description enables an in-depth or sharpened understanding of the case. It is unique given one characteristic: case studies draw from more than one data source. Case studies are inherently multimodal or mixed ...
PDF Learning by the Case Method
The case method of learning does not provide the answer. Rather, various participants in the discussion will have developed and supported several viable "answers". Business is not, at least not yet, an exact science. There is no single, demonstrably right answer to a business problem. For the student or business person it cannot be a matter of
Case Study Methodology in Business Research
Case Study Methodology in Business Research sets out structures and guidelines that assist students and researchers from a wide range of disciplines to develop their case study research in a consistent and rigorous manner. It clarifies the differences between practice-oriented and theory-oriented research and, within the latter category ...
Case Method (Teaching)
The case method at the Harvard Business School : papers by present and past members of the faculty and staff by McNair, Malcolm P (editor) Location: Mugar Library Off-site HF1111 F54. Publication Date: 1954. Case Studies in Strategic Management by Gunther Friedl (Editor); Andreas Biagosch (Editor) Location: online. Publication Date: 2019.
Case Study
Here are some common data collection methods for case studies: Interviews. ... Business and Management. Case studies are widely used in business and management to examine real-life situations and develop problem-solving skills. Case studies can help students and professionals to develop a deep understanding of business concepts, theories, and ...
Case Method Teaching
The core pedagogy of Harvard Business School since the early 20th century, the case method boasts a unique ability to make complex concepts accessible and develop students' leadership skills, all while creating an engaging intellectual atmosphere. A "case" is a short narrative document - a story - that presents a particular challenge ...
Case Studies
Case Studies. Case studies are a popular research method in business area. Case studies aim to analyze specific issues within the boundaries of a specific environment, situation or organization. According to its design, case studies in business research can be divided into three categories: explanatory, descriptive and exploratory.
6 Types of Case Studies to Inspire Your Research and Analysis
A case study is a research process aimed at learning about a subject, an event or an organization. Case studies are use in business, the social sciences and healthcare. A case study may focus on one observation or many. It can also examine a series of events or a single case. An effective case study tells a story and provides a conclusion.
The Case Study Method in Business
A study conducted by Carter III [19] on the topic of the leadership qualities of family business successors within United States used exploratory case study method. There were six cases selected for in-depth analysis including an air conditioning wholesale company, a pest control company, an automobile dealership, a printing business, a funeral ...
Case Study Method: Why & how the best business schools use it
In short, case studies are a miniature version of a business situation used in MBA programs to facilitate learning. The percentage of case study dependency ranges from 20% to 80% in the top business schools in the world. It gets varying degrees of support from the other methods of teaching - lectures, group assignments, experiential learning ...
Effective Problem-Solving Techniques in Business
Problem solving is an increasingly important soft skill for those in business. The Future of Jobs Survey by the World Economic Forum drives this point home. According to this report, complex problem solving is identified as one of the top 15 skills that will be sought by employers in 2025, along with other soft skills such as analytical thinking, creativity and leadership.
Transforming Digital Marketing with Generative AI
The current marketing landscape faces challenges in content creation and innovation, relying heavily on manually created content and traditional channels like social media and search engines. While effective, these methods often lack the creativity and uniqueness needed to stand out in a competitive market. To address this, we introduce MARK-GEN, a conceptual framework that utilises generative ...
IMAGES
VIDEO
COMMENTS
Qualitative case study methodology enables researchers to conduct an in-depth exploration of intricate phenomena within some specific context. By keeping in mind research students, this article presents a systematic step-by-step guide to conduct a case study in the business discipline.
Celebrating 100 Years of the Case Method at HBS . The 2021-2022 academic year marks the 100-year anniversary of the introduction of the case method at Harvard Business School. Today, the HBS case method is employed in the HBS MBA program, in Executive Education programs, and in dozens of other business schools around the world.
Through the case method, you can "try on" roles you may not have considered and feel more prepared to change or advance your career. 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 ...
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.
The case method prepares you to be in leadership positions where you will face time-sensitive decisions with limited information. Reflecting on each class discussion will prepare you to face these situations in your future roles. ... Harvard Business School Spangler Welcome Center (Spangler 107) Boston, MA 02163 Phone: 1.617.495.6128 Email ...
1. Abstract. Qualitative case study methodology enables researchers to conduct an in-depth exploration of intricate phenomena within some. specific context. By keeping in mind research students ...
To conclude, there are two main objectives of this study. First is to provide a step-by-step guideline to research students for conducting case study. Second, an analysis of authors' multiple case studies is presented in order to provide an application of step-by-step guideline. This article has been divided into two sections.
Play Video. Chris Christensen described case method teaching as "the art of managing uncertainty"—a process in which the instructor serves as "planner, host, moderator, devil's advocate, fellow-student, and judge," all in search of solutions to real-world problems and challenges.. Unlike lectures, case method classes unfold without a detailed script. Successful instructors simultaneously ...
During the 2021-2022 academic year, HBS celebrates 100 years of teaching and learning by the case method at the School. Case Method 100 Years. Harvard Business School. Boston, MA 02163. → Map & Directions.
It is something students in the case method get lots of practice honing. 5. Collaboration. It is better to make business decisions after extended give-and-take, debate, and deliberation. As in any team sport, people get better at working collaboratively with practice. Discussing cases in small study groups, and then in the classroom, helps ...
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.
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.
The purpose of case study research is twofold: (1) to provide descriptive information and (2) to suggest theoretical relevance. Rich description enables an in-depth or sharpened understanding of the case. It is unique given one characteristic: case studies draw from more than one data source. Case studies are inherently multimodal or mixed ...
The case method of learning does not provide the answer. Rather, various participants in the discussion will have developed and supported several viable "answers". Business is not, at least not yet, an exact science. There is no single, demonstrably right answer to a business problem. For the student or business person it cannot be a matter of
Case Study Methodology in Business Research sets out structures and guidelines that assist students and researchers from a wide range of disciplines to develop their case study research in a consistent and rigorous manner. It clarifies the differences between practice-oriented and theory-oriented research and, within the latter category ...
The case method at the Harvard Business School : papers by present and past members of the faculty and staff by McNair, Malcolm P (editor) Location: Mugar Library Off-site HF1111 F54. Publication Date: 1954. Case Studies in Strategic Management by Gunther Friedl (Editor); Andreas Biagosch (Editor) Location: online. Publication Date: 2019.
Here are some common data collection methods for case studies: Interviews. ... Business and Management. Case studies are widely used in business and management to examine real-life situations and develop problem-solving skills. Case studies can help students and professionals to develop a deep understanding of business concepts, theories, and ...
The core pedagogy of Harvard Business School since the early 20th century, the case method boasts a unique ability to make complex concepts accessible and develop students' leadership skills, all while creating an engaging intellectual atmosphere. A "case" is a short narrative document - a story - that presents a particular challenge ...
Case Studies. Case studies are a popular research method in business area. Case studies aim to analyze specific issues within the boundaries of a specific environment, situation or organization. According to its design, case studies in business research can be divided into three categories: explanatory, descriptive and exploratory.
A case study is a research process aimed at learning about a subject, an event or an organization. Case studies are use in business, the social sciences and healthcare. A case study may focus on one observation or many. It can also examine a series of events or a single case. An effective case study tells a story and provides a conclusion.
A study conducted by Carter III [19] on the topic of the leadership qualities of family business successors within United States used exploratory case study method. There were six cases selected for in-depth analysis including an air conditioning wholesale company, a pest control company, an automobile dealership, a printing business, a funeral ...
In short, case studies are a miniature version of a business situation used in MBA programs to facilitate learning. The percentage of case study dependency ranges from 20% to 80% in the top business schools in the world. It gets varying degrees of support from the other methods of teaching - lectures, group assignments, experiential learning ...
Problem solving is an increasingly important soft skill for those in business. The Future of Jobs Survey by the World Economic Forum drives this point home. According to this report, complex problem solving is identified as one of the top 15 skills that will be sought by employers in 2025, along with other soft skills such as analytical thinking, creativity and leadership.
The current marketing landscape faces challenges in content creation and innovation, relying heavily on manually created content and traditional channels like social media and search engines. While effective, these methods often lack the creativity and uniqueness needed to stand out in a competitive market. To address this, we introduce MARK-GEN, a conceptual framework that utilises generative ...