The Organisation of Tomorrow: How AI, Blockchain, and Analytics Turn Your Business into a Data Organisation
Abstract
The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions. It also asks us to consider the impacts of these emerging information technologies on people and society. Big data analytics empowers consumers and employees. This can result in an open strategy and a better understanding of the changing environment. Blockchain enables peer-to-peer collaboration and trustless interactions governed by cryptography and smart contracts. Meanwhile, artificial intelligence allows for new and different levels of intensity and involvement among human and artificial actors. With that, new modes of organising are emerging: where technology facilitates collaboration between stakeholders; and where human-to-human interactions are increasingly replaced with human-to-machine and even machine-to-machine interactions. This book offers dozens of examples of industry leaders such as Walmart, Telstra, Alibaba, Microsoft and T-Mobile, before presenting the D2 + A2 model – a new model to help organisations datafy their business, distribute their data, analyse it for insights and automate processes and customer touchpoints to be ready for the data-driven and exponentially-changing society that is upon us This book offers governments, professional services, manufacturing, finance, retail and other industries a clear approach for how to develop products and services that are ready for the twenty-first century. It is a must-read for every organisation that wants to remain competitive in our fast-changing world.
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Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI works by processing large amounts of data to identify patterns.
“AI works by processing large amounts of data to identify patterns (Van Rijmenam 2019).”
From Artificial intelligence and work: a critical review of recent research from the social sciences (2024) · cites this paper as Van Rijmenam 2019
Cited by
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Artificial intelligence and work: a critical review of recent research from the social sciences
Deranty, J.-P., & Corbin, T. (2024) · AI & SOCIETY · doi:10.1007/s00146-022-01496-x · Cited by 118 · see citing works
“AI works by processing large amounts of data to identify patterns (Van Rijmenam 2019).”
- Authors
- van Rijmenam, D. M.
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2019-07-19
- OpenAlex
- W4238269637
- Cited by
- 17
- References
- 0
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 1 · 2023: 3 · 2022: 1 · 2021: 3 · 2020: 3
- FWCI
- 2.13
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- future of work, business models, big data analytics, blockchain, artificial intelligence, human-machine interaction, datafication, data distribution, process automation, customer touchpoints, smart contracts, peer collaboration, stakeholder collaboration, societal impact of technology, organizational change
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