Malinowski among the Magi : 'The natives of Mailu'
著者
書誌事項
Malinowski among the Magi : 'The natives of Mailu'
(International library of anthropology)
Routledge, 1988
大学図書館所蔵 全31件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Bibliography: p.[340]-345
Includes index
内容説明・目次
内容説明
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 21st century. It is a must-read for every organisation that wants to remain competitive in our fast-changing world.
目次
- Acknowledgements
- Chapter 1: Welcome to exponential times
- 1.1 The importance of data
- 1.2 The downside of data
- 1.3 The changing face of collaboration
- 1.4 Conclusion
- Chapter 2: How technology changes organisations
- 2.1 The concept of sociomateriality
- 2.2 The concept of technology in organisations
- 2.3 The introduction of the artificial
- 2.4 Towards a tripartite analysis of sociomateriality
- 2.5 Conclusion
- Chapter 3: Big data analytics to understand the context
- 3.1 Datafying your business
- 3.2 From data to information to wisdom
- 3.3 Analytics use cases
- 3.4 Sensing, seizing and transforming
- 3.5 Empowerment and open strategizing
- 3.5.1 Security analytics
- 3.5.2 The Chief Information Security Officer
- 3.5 Security and privacy
- 3.6 Conclusion
- Chapter 4: Blockchain to distribute the organisation
- 4.1 Introduction
- 4.2 What is blockchain
- 4.2.1 Cryptographic primitives
- 4.2.2 The consensus mechanism
- 4.2.3 Transactions
- 4.2.4 Smart contracts
- 4.2.5 The decentralised ecosystem
- 4.2.6 Changing organisation design
- 4.3 Cryptocurrencies and tokenomics
- 4.4 Blockchain and privacy regulation
- 4.5 Trustless transactions
- 4.6 Blockchain and reputation
- 4.7 How blockchain changes collaboration across industries
- 4.7.1 The financial services industry
- 4.7.2 The retail industry
- 4.7.3 The telecom industry
- 4.7.4 The manufacturing industry
- 4.7.5 The content industry
- 4.8 Conclusion
- Chapter 5: The convergence of big data analytics and blockchain
- 5.1 Data sharing
- 5.2 Data governance
- 5.3 Data security
- 5.3.1 Data confidentiality
- 5.3.2 Data integrity
- 5.3.3 Data availability
- 5.4 Data privacy and identity
- 5.5 Data ownership
- 5.6 Conclusion
- Chapter 6: Artificial intelligence to automate the organisation
- 6.1 The algorithmic organisation
- 6.2 Conversational AI
- 6.3 The dangers of AI
- 6.3.1 Explainable AI
- 6.3.2 Incorporating AI ethics
- 6.3.3 Control methods and the principal-agent problem
- 6.4 Conclusion
- Chapter 7: Turning your organisation into a data organisation
- 7.1 Datafy
- 7.2 Distribute
- 7.3 Analyse
- 7.4 Automate
- 7.5 A note on privacy
- 7.6 Conclusion
- Epilogue: Towards data-driven globalisation
- Glossary of Terms
- References
- Index
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