Information Systems: A Manager's Guide to Harnessing TechnologyVersion 8.0 By: John Gallaugher
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- Unique approach to information systems by leading with strategic thinking before diving into technical topics
- Current and engaging case studies that challenge students to apply what they’ve learned
- Coverage of not only strategy and technology basics, but also of critical concepts including data analytics, security, social media, the sharing economy, disruptive innovation, network effects and more
- In-depth profiles on widely known firms such as Facebook, Amazon, Google, Netflix, Rent the Runway, and Zara
Information Systems: A Manager’s Guide to Harnessing Technology is suitable for undergraduate or MBA-level courses on business or management information systems taught in two- or four-year schools that are often called Introduction to Information Systems, Strategic Information Systems, Capstone Information Systems course, Technology Entrepreneurship, Digital Organization/Digital Leadership, Management Information, Information Technology or similar.
Information Systems: A Manager’s Guide to Harnessing Technology is updated annually. In doing so, its primary goal is to strike a balance between core content and new developments in a rapidly evolving field. The result is a narrative grounded in relevant management theory and practice that features current, fresh, and engaging case studies and applications. Nearly all chapters receive at least some refresh of examples, statistics, and other data, while also ensuring the book’s underlying framework remains consistent and reflective of management best practices for using and successfully leveraging technology for individual and company success.
New in This Version
- Includes new or updated discussions on: artificial intelligence (AI) (Chapter 1); tech’s role in commoditization and differentiation (Chapter 2); robotic distribution and AR in fashion (Chapter 3); Netflix’s newest challenges (Chapter 4); cloud, high-performance computing, and e-Waste (Chapter 5); cryptocurrencies and blockchain (Chapter 6); Amazon logistics, Amazon’s use of machine learning, and antitrust concerns (Chapter 7); tech giants’ power (Chapter 8), new popular players in the social landscape (Tik Tok, Fortnite, and Tinder) and Microsoft's acquisition of GitHub (Chapter 9); bad investments versus bad models (Chapter 10); Facebook’s ethics challenges and the Libra cryptocurrency effort (Chapter 11); Caastle and LeTote/Lord & Taylor compete with profitable “Unicorn” Rent the Runway (Chapter 12); security mistakes in Big Data, third-party data sales, unintended consequences of general data protection regulation (GDRP), differences in privacy laws between the US and other countries, McDonald’s AI play, high rates of artificial intelligence failures, and crafting ethical practices in data, machine learning, and other business technologies (Chapter 15); updates regarding trademark cases and other legal proceedings of note, 5G explained and implications explored, and satellite tech (Chapter 16); updates on cybersecurity breaches (Chapter 17); and downloading your Google data and Google+ shutdown (Chapter 18)
- Introduces new concepts and terminology: local focus strategy (Chapter 3); exclusive licensing arrangements, transfer pricing, on-again-of-again digital subscribers, and microservices (Chapter 4); high-power computing, microcontrollers, and smart license plates (Chapter 5); Amazon’s computer vision/AI and new packaging standards (Chapter 7); Facebook’s violations of Apple terms-of-service violations, Facebook home assistant, Facebook-backed Libra cryptocurrency, and microtransactions (Chapter 11); serverless computing, data lakes, and the technology behind big data (Chapter 15); redefining LEO, MEO, and GEO (Chapter 16); and Google’s Stadia Gaming (Chapter 18)
- Updated call-out boxes and graphics: transfer pricing and digital products/marginal costs (Chapter 4); server farms as power sources and their cooling costs (Chapter 5); Amazon’s evolving logistics strategies (Chapter 7); debates surrounding size and influence of big tech firms (Chapter 8); understanding the competition (Chapter 12); consumers unwittingly training artificial intelligence and the ethical use of artificial intelligence (Chapter 15), URLs and security (Chapter 16), debates over appropriate size and influence of tech firms (Chapter 18)
- New or updated cases and examples: FreshDirect, Dell computer, Apple Music v. Spotify, Walmart’s and Jet.com (Chapter 2); Zara (Chapter 3); Netflix (Chapter 4); AdhereTech (Chapter 5); Amazon (Chapter 7); Tumblr (Chapter 9); Uber (Chapter 10); Facebook (Chapter 11); Rent the Runway, Caastle, and Nuuly (Chapter 12); and Google (Chapter 17)
- New video links: Artificial Intelligence (AI) (Chapter 1); Zara AR Studio Collection (Chapter 3); Somaliland’s transformational cashless economy, e-Waste pollution, and Apple’s recycling efforts (Chapter 5); Amazon’s delivery drone, wheeled delivery robot, Echo, and overall use of AI (Chapter 7); Facebook’s 2019 Keynote address, Libra/cryptocurrency, and TenCent/WeChat (Chapter 11); Airbnb and data science (Chapter 15); 5G networks (Chapter 16); and Google’s Stadia Gaming announcement and Google CEO’s Keynote at Google’s 2019 developer conference (Chapter 18)
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Corrected title of Figure 11.1 to "Largest Firms by Market Cap (in billions of $USD)". (03/04/20)