Airbnb, Inc. Strategic Plan 2017-2021 MBA - strategic Management Assignment...Mohie Ismail
Airbnb, Inc. Strategic Plan 2017-2021
MBA - Assignment for strategic Management course
(Based on Harvard business review - case study June 2017 )
content :
History
Strategic Issues
Situational Analysis
Strategic Analysis and Choice
Recommended Strategy
Vision
Mission
Goals
Strategy
Objectives
Ebay - Presentation for Strategic Management classTheodore Le
This is a presentation for my group work on eBay in Strategic Management class. If you want the full written report (about 50 pages), please contact me via le@khuya.net
Discussion about E-bay in Paul Trott Book of Innovation management. Group members consist of Tumenast Erdenbold, Thint Khine and Riri Kusumarani. Course offered by Professor Munkee Choi in ITTP,KAIST
Case Study on Alibaba, Alipay and O2O model and swot analysis , ..etc, IIT Ropar Strategy and online marketing. Important acquisitions by alibaba and their significance in alibaba eco-system.
Case study analysis of Alibaba.com including General Environment, Industry envi., competitive analysis, financial analysis, SWOT analysis, business strategies used and future scenario for alibaba.com
Financial comparison between two industry giants EBay and Amazon. My teammates and I computed the financial ratios for both companies and based on our results we analyzed the performance of the latter two.
Strategic plan harvard business review casestudy airbnb company Mohie Ismail
This document provides the Strategic Plan for Airbnb for 2017-2021. The plan provides an analysis and evaluation of Airbnb by reviewing the company’s strategic management, profitability and market competitiveness. Methods of analysis include Strategic Position & Action Evaluation (SPACE) Matrix, and Grand Strategy Selection Matrix as well as Situational Analysis.
Airbnb, Inc. Strategic Plan 2017-2021 MBA - strategic Management Assignment...Mohie Ismail
Airbnb, Inc. Strategic Plan 2017-2021
MBA - Assignment for strategic Management course
(Based on Harvard business review - case study June 2017 )
content :
History
Strategic Issues
Situational Analysis
Strategic Analysis and Choice
Recommended Strategy
Vision
Mission
Goals
Strategy
Objectives
Ebay - Presentation for Strategic Management classTheodore Le
This is a presentation for my group work on eBay in Strategic Management class. If you want the full written report (about 50 pages), please contact me via le@khuya.net
Discussion about E-bay in Paul Trott Book of Innovation management. Group members consist of Tumenast Erdenbold, Thint Khine and Riri Kusumarani. Course offered by Professor Munkee Choi in ITTP,KAIST
Case Study on Alibaba, Alipay and O2O model and swot analysis , ..etc, IIT Ropar Strategy and online marketing. Important acquisitions by alibaba and their significance in alibaba eco-system.
Case study analysis of Alibaba.com including General Environment, Industry envi., competitive analysis, financial analysis, SWOT analysis, business strategies used and future scenario for alibaba.com
Financial comparison between two industry giants EBay and Amazon. My teammates and I computed the financial ratios for both companies and based on our results we analyzed the performance of the latter two.
Strategic plan harvard business review casestudy airbnb company Mohie Ismail
This document provides the Strategic Plan for Airbnb for 2017-2021. The plan provides an analysis and evaluation of Airbnb by reviewing the company’s strategic management, profitability and market competitiveness. Methods of analysis include Strategic Position & Action Evaluation (SPACE) Matrix, and Grand Strategy Selection Matrix as well as Situational Analysis.
eBay Inc. is an American multinational e-commerce corporation based in San Jose, California, that facilitates consumer-to-consumer and business-to-consumer sales through its website.
Learning about models of E-Business is made easy through this presentation. It contains the comprehensive information about models of E-Business. It helps the students to learn the concepts quickly with the help of examples. The models are presented with crisp explanation.
OpenRecommender is an open source project to create the world's most reliable and scalable Recommendation Engine software for filtering and suggesting content & services of all types, in the right place, at the right time.
A comparison pitting Softbank .vs. KDDI in terms of Mobile Business Strategy for the future.
One of my first eBiz team slide decks, Fall semester 2006...
MoMo Toronto - Summer Wrap-up 2008: Introducing BC$BCmoney MobileTV
Mobile Monday Toronto 2008 - Yearly Wrap-Up Event... I was fortunate enough to be asked to come speak about my experience in Japan and introduce my business idea for bringing MobileTV technology to Canada more efficiently than other markets which are trying to build upon custom-built mobile Telecom/Carrier broadcast networks rather than wifi/wimax/3G/4G internet streaming networks.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Mind map of terminologies used in context of Generative AI
eBay .vs. Amazon
1. eBay .vs. Amazon Analysis of two “first-movers” that lasted, in the E-commerce space Student: Bryan Copeland Student ID: 053171c Submitted to: Wakayama-sensei
4. History 15.13 Acquired PayPal Jul 2002 12.708 Global expansion to over 2 dozen countries 2000-2006 49.500 Acquired Skype 2005 20.833 Withdrew from Japanese market & Hong Kong (where Yahoo! Auctions/Shopping had head start) Feb 2002 1.871 CEO Meg Whitman (July); IPO 1998 25.016 Alliance with AOL 1999 Founded by Pierre Omidyar 1995 Menl Park, Calif (VC) 22% stock acquisition 1997 Stock ($) Event Date
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8. Business Process Seller Account Creation Listing an Item Reserve Dutch Buy-it Now Regular (Auction Type) Bids Placed Completing a Sale After-sales Service Typically covered by Seller, using eBay’s features. No bids Final Value Fee = 5% of the first $25 + 2.5% of remaining amount up to $1,000 + 1.25% of any portion of sale over $1,000 -eBay sends Outbid Notice if needed. -Seller’s feedback rating dictates bidder confidence.
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10. eBay’s Business Model Seller Buyer Internet property sales format Network externality social communication Mediation (forums, buyer/seller ratings) U niversality Regional sites Information asymmetry Trust and safety Virtual capacity large variety Low cost Innovative (Bid-based auctioning systems) Exchange Transaction Community platform For global person to person trade More Profit Decreased Costs Win-win situation Leads Repeat Transaction
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13. Internet Properties / / / / / Transaction-Cost Reducer / / Creative Destroyer / / / / Low Cost Standard / / Infinite Virtual Capacity / / / Info. Asymmetry Shrinker / / / / Time Moderator / / / Distribution Channel / / Network Externality / / / / / Universality / / / / / Mediation Communication Content Community Commerce Coordination
18. History 1 - http://www.wired.com/wired/archive/7.03/change.html 54.135 Acquired IMDB, world’s biggest movie database Dec 21, 1998 Founded then Launched by Jeff Bezos 1994-1995 49.500 Video sales launched Nov 17, 1998 67.85 (mean) Global growth in key international markets 1999-2003 12.708 Amazon.com Kids launched Mar 2, 1998 72.29 (6-6-07) Merchant strategy; major corporate partners 2003-2007 20.833 Music sales launched Jun 11, 1998 9.896 Millionth customer personally receives order from Bezos's hands Oct 28, 1997 8.833 First holiday-gift center opened Nov 18, 1997 3.917 IPO May 15, 1997 9.250 Collaborative Filter recommendations launched Sep 23, 1997 Stock ($) Event Date
19. Industry Competitors: Intensity of Rivalry Supplier s Buyers New Entrants Substitutes Threat of New Entrants Bargaining Power of Buyers Threat of Substitutes Bargaining Power of Suppliers Network Externality – ( no customer base ) Low Cost Standard + Universality + Distribution Channel + Transaction Cost Reducer + Mediation – ( no social platform ) Network Externality + ( many customers ) Mediation + ( reviews/community platform ) Distribution Channel - (replacement) Info Asymmetry Shrinker + Low cost + Transaction Cost Reducer – ( wholesale/retail ) Universality – ( regional focus ) Distribution Channel + Distribution Channel – ( No control over channel ) Info Asymmetry Shrinker + ( reduces asymmetry, so no manipulation over data ) Universality + ( existing suppliers ) Network Externality + ( large customer base ) Mediation +, – ( no social platform for sellers; great platform for buyers ) Universality – Online Retail Industry analysis
21. Sales Format B S -Communication (Reviews) -Low Cost -Large Variety -Distribution -Trust & Safety (seller ratings) Sales Format Transaction Product from Catalogue User choice Locate Sellers Store 1 Store 2 Store n “ Merchant” Storefronts
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25. Value Configuration Diagram : _________ Strong CRM ‘ 1-Click Shopping’ Convenience Low Costs Diversification Partnering Network Externality Brand Image Product Review Information Customer Base Fixed Merchants Product Recommendations Cross-selling Distributed Web Services Money-back Guarantee Email Marketing Loyalty & Advocacy Merchant Advantage : Automatic Re-Ordering, etc Associates Program Association Repeat Purchases Positioning: Online Shopping Order Fulfillment (Buyer) (Seller)
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27. Internet Properties / / / / / Transaction-Cost Reducer / / / Creative Destroyer / / / / Low Cost Standard / / / / Infinite Virtual Capacity / / / / Info. Asymmetry Shrinker / / / / Time Moderator / / / Distribution Channel / / / Network Externality / / / / / Universality / / / / / Mediation Communication Content Community Commerce Coordination