AI and the Music Industry
Transforming Production, Platforms, and Practice
Herausgeber: Budu, Joseph; Boateng, Sheena Lovia; Boateng, Richard
AI and the Music Industry
Transforming Production, Platforms, and Practice
Herausgeber: Budu, Joseph; Boateng, Sheena Lovia; Boateng, Richard
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
The section includes comparative analyses of AI adoption patterns in the music industry and provides practical insights into the use of AI tools for music production and distribution, it offers a detailed syllabus for training music industry stakeholders on harnessing AI technologies.
Andere Kunden interessierten sich auch für
- Gary D BeckmanStrategic Decision Making in the Arts191,99 €
- Adam LiskarHow Does Technological Change Affect the Music Industry in Germany?18,95 €
- Jeffery FordThe Four Conversations: Daily Communication That Gets Results20,99 €
- Karen Golden-BiddleThe Untapped Power of Discovery164,99 €
- Christof ZürnThe Power of Music Thinking14,99 €
- Bill TorbertAction Inquiry: The Secret of Timely and Transforming Leadership30,99 €
- Yiyi WangArtist Management in the Music Industries201,99 €
-
-
-
The section includes comparative analyses of AI adoption patterns in the music industry and provides practical insights into the use of AI tools for music production and distribution, it offers a detailed syllabus for training music industry stakeholders on harnessing AI technologies.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 200
- Erscheinungstermin: 2. Mai 2025
- Englisch
- Abmessung: 254mm x 178mm
- ISBN-13: 9781032978307
- ISBN-10: 1032978309
- Artikelnr.: 72110779
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 200
- Erscheinungstermin: 2. Mai 2025
- Englisch
- Abmessung: 254mm x 178mm
- ISBN-13: 9781032978307
- ISBN-10: 1032978309
- Artikelnr.: 72110779
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Richard Boateng is a Professor in Information Systems at the University of Ghana Business School. He is a technology researcher who focuses on developing, communicating, protecting, promoting ideas and concepts into projects of commercial value and development impact. The AD Scientific Index (Alper-Doger Scientific Index) 2021 and 2022 ranked Prof. Richard Boateng as the number one (#1) Scholar in ICT for Development/E-business Research in Ghana and 9th in Africa. He was also ranked the number four (#4) Scholar in General Business and Management Research in Ghana and 24th in Africa in 2022. He is also the associate editor of the Information Technologies & International Development Journal and serves on the editorial board of the Information Development Journal. His research experience covers the artificial intelligence and entrepreneurship, digital economy, cloud computing, e-learning, information, and communication technologies (ICT) for development, electronic governance, social media, electronic business, gender and technology, mobile commerce, and mobile health at the national, industrial, organisational and community levels. His research and project funds have been obtained from organizations including Mastercard Foundation, GIZ (German Development Agency, Ghana), World Wide Web Foundation (USA), Vodafone Group (Global/UK), Danish International Development Agency (DANIDA), International Development Research Centre (Canada), and the World Bank. On three occasions, Prof. Boateng has been invited to contribute to global reports on the digital economy. First, by the Renowned Economist, Diane Coyle for the Vodafone Global PLC.'s Socio-economic Impact of Mobiles (SIM) Report; second, by the World Wide Web Foundation for the 2019 Women's Rights Online Survey; and third as a panelist at the 2022 UNCTAD Global eCommerce Week, speaking on The AfCFTA and Data Governance Frameworks in Africa. Sheena Lovia Boateng is a senior lecturer at the Department of Marketing and Entrepreneurship at the University of Ghana Business School. Her research interests span artificial intelligence and marketing, gender and technology, influencer marketing, online pharmaceutical marketing, online relationship marketing, digital business, and electronic learning. Her research has been widely published. Dr. Joseph Budu is a senior lecturer and researcher at the Ghana Institute of Management and Public Administration, based in Accra, Ghana. With a robust educational background, including a PhD in Information Systems from the University of Ghana, where he won the vice-chancellor's award for outstanding doctoral dissertation in the humanities, Joseph Budu is an expert in the intersection of information systems, artificial intelligence, and entrepreneurship. Beyond academia, Joseph Budu is an accomplished consultant, providing valuable insights into digital platforms and responsible AI. For instance, he was the country manager for Fairwork Ghana which evaluated the labour practices of digital labour platforms in Ghana, as a way of advocating for better working conditions for so-called independent contractors. His consultancy work also extends to collaborating with organisations seeking innovative solutions at the crossroads of technology and entrepreneurship. Joseph's prolific research portfolio includes publications in notable journals, book chapters and conferences, showcasing his commitment to advancing knowledge and understanding in the ever-evolving landscape of information systems and artificial intelligence.
Chapter 1. Emerging Trends in Digital Platforms and Music Research: A
Bibliometric Analysis of Scopus-Indexed Publications Chapter 2.
Transformative Impacts of Artificial Intelligence on the Music Industry: A
Narrative Review Chapter 3. AI and Music Industry - A Research Framework,
Methodology, and Data Collection Kit Chapter 4. AI and Music: The Case of
an Artist-Music Publisher Chapter 5. Transforming Music Production through
AI - A Case Study Chapter 6. AI and the Dance Influencer - A Case Study
Chapter 7. Comparative Analysis of AI Adoption Patterns in Music: An
Opportunity-Ability-Motivation Approach Chapter 8. AI and the Music
Industry - A Syllabus for Training Industry Stakeholders
Bibliometric Analysis of Scopus-Indexed Publications Chapter 2.
Transformative Impacts of Artificial Intelligence on the Music Industry: A
Narrative Review Chapter 3. AI and Music Industry - A Research Framework,
Methodology, and Data Collection Kit Chapter 4. AI and Music: The Case of
an Artist-Music Publisher Chapter 5. Transforming Music Production through
AI - A Case Study Chapter 6. AI and the Dance Influencer - A Case Study
Chapter 7. Comparative Analysis of AI Adoption Patterns in Music: An
Opportunity-Ability-Motivation Approach Chapter 8. AI and the Music
Industry - A Syllabus for Training Industry Stakeholders
Chapter 1. Emerging Trends in Digital Platforms and Music Research: A
Bibliometric Analysis of Scopus-Indexed Publications Chapter 2.
Transformative Impacts of Artificial Intelligence on the Music Industry: A
Narrative Review Chapter 3. AI and Music Industry - A Research Framework,
Methodology, and Data Collection Kit Chapter 4. AI and Music: The Case of
an Artist-Music Publisher Chapter 5. Transforming Music Production through
AI - A Case Study Chapter 6. AI and the Dance Influencer - A Case Study
Chapter 7. Comparative Analysis of AI Adoption Patterns in Music: An
Opportunity-Ability-Motivation Approach Chapter 8. AI and the Music
Industry - A Syllabus for Training Industry Stakeholders
Bibliometric Analysis of Scopus-Indexed Publications Chapter 2.
Transformative Impacts of Artificial Intelligence on the Music Industry: A
Narrative Review Chapter 3. AI and Music Industry - A Research Framework,
Methodology, and Data Collection Kit Chapter 4. AI and Music: The Case of
an Artist-Music Publisher Chapter 5. Transforming Music Production through
AI - A Case Study Chapter 6. AI and the Dance Influencer - A Case Study
Chapter 7. Comparative Analysis of AI Adoption Patterns in Music: An
Opportunity-Ability-Motivation Approach Chapter 8. AI and the Music
Industry - A Syllabus for Training Industry Stakeholders