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Technologies for digital transformation = moving towards the future of organisations /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Technologies for digital transformation/ edited by Alessio Maria Braccini, Jessie Pallud, Ferdinando Pennarola.
其他題名:	moving towards the future of organisations /
其他作者:	Braccini, Alessio Maria.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xi, 338 p. :ill. (some col.), digital ;24 cm.
內容註:	Technologies for Digital Transformation. Towards the Future of Organisations -- Exploring Emerging Technologies -- Manufacturing SMEs and Artificial Intelligence: be-tween Promises and Paradoxes -- Investigating the Artificial Intelligence Debate in Organisation and Management Studies -- Do Forecasting Algorithms Need a Crisis-Mode? Machine Learning Based Sales Forecasting in Times of COVID-19 -- Artificial Intelligence in Information Systems Research: A Socio-technical Perspective -- Blockchain and lending process efficiency in the banking industry -- Under Pressure: Strategic Choices and Contextual Trade-offs of SMEs Facing Industry 4.0 Implementation -- The Context sets the Tone - A Literature Review on Emotion Recognition from Speech using AI -- Understanding the links between neuroscience, physiological tools and stress, with the eventual neuroscientific impact of culture, in organizational, managerial and Information Systems (IS) fields through a Social Network Analysis -- Digitalize thy Place: Benefits and Challenges in the Development of Smart Destinations -- Digital Transformation and Dysfunctions: Case Study of a Japanese Leading Technology Company, Analysis from Socio-Technical Approach -- Digitalization, online services, and entrepreneurial environment in the Italian smart cities' transition -- Exploring the Evolution of Digital Transformation Research in Non-profit Organisations: A bibliometric Analysis -- How to Unlock the Value of Your Data - Six Design Guidelines for Implementing Data Strategies -- Data-driven Failure Management: An Ontology-based Speech Recognition App for Failure Capturing in Manufacturing Processes -- Evaluation of Innovativeness as the Success Factor of Innovative Start-Ups. Evidence from literature -- A Bibliometric Analysis of Fab Labs research -- The metaverse: digital innovation in the fashion industry. A systematic literature review -- Look! This is the future of cardiology: institutional work and the making of telemedicine in healthcare.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-52120-1
ISBN:	9783031521201

Technologies for digital transformation = moving towards the future of organisations /
Technologies for digital transformationmoving towards the future of organisations /[electronic resource] :edited by Alessio Maria Braccini, Jessie Pallud, Ferdinando Pennarola. - Cham :Springer Nature Switzerland :2024. - xi, 338 p. :ill. (some col.), digital ;24 cm. - Lecture notes in information systems and organisation,v. 642195-4976 ;. - Lecture notes in information systems and organisation ;v. 64..

Technologies for Digital Transformation. Towards the Future of Organisations -- Exploring Emerging Technologies -- Manufacturing SMEs and Artificial Intelligence: be-tween Promises and Paradoxes -- Investigating the Artificial Intelligence Debate in Organisation and Management Studies -- Do Forecasting Algorithms Need a Crisis-Mode? Machine Learning Based Sales Forecasting in Times of COVID-19 -- Artificial Intelligence in Information Systems Research: A Socio-technical Perspective -- Blockchain and lending process efficiency in the banking industry -- Under Pressure: Strategic Choices and Contextual Trade-offs of SMEs Facing Industry 4.0 Implementation -- The Context sets the Tone - A Literature Review on Emotion Recognition from Speech using AI -- Understanding the links between neuroscience, physiological tools and stress, with the eventual neuroscientific impact of culture, in organizational, managerial and Information Systems (IS) fields through a Social Network Analysis -- Digitalize thy Place: Benefits and Challenges in the Development of Smart Destinations -- Digital Transformation and Dysfunctions: Case Study of a Japanese Leading Technology Company, Analysis from Socio-Technical Approach -- Digitalization, online services, and entrepreneurial environment in the Italian smart cities' transition -- Exploring the Evolution of Digital Transformation Research in Non-profit Organisations: A bibliometric Analysis -- How to Unlock the Value of Your Data - Six Design Guidelines for Implementing Data Strategies -- Data-driven Failure Management: An Ontology-based Speech Recognition App for Failure Capturing in Manufacturing Processes -- Evaluation of Innovativeness as the Success Factor of Innovative Start-Ups. Evidence from literature -- A Bibliometric Analysis of Fab Labs research -- The metaverse: digital innovation in the fashion industry. A systematic literature review -- Look! This is the future of cardiology: institutional work and the making of telemedicine in healthcare.

Digital technologies can have a profound impact on modern organisations, changing the way they operate, communicate, cooperate, and deliver value to stakeholders. This book gathers the selected and revised best papers presented at the annual conference of the Italian Chapter of AIS, which took place in Catanzaro in October 2022. It offers a comprehensive overview of the impacts of emerging digital technologies, such as AI, machine learning, blockchain, and Industry 4.0, on organisations and industries. In this book, these digital technologies are explored in relation to the digital transformation process for business organisations and industries. It investigates how emerging technologies influence the digital transformation of diverse business organisations, pointing out research trajectories, implications, opportunities, and challenges. Covering a wide range of topics related to digital transformation, it offers valuable insights into the latest research on the opportunities and challenges that accompany emerging digital technologies.

ISBN: 9783031521201

Standard No.: 10.1007/978-3-031-52120-1doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

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