2,922 research outputs found
Music 2025 : The Music Data Dilemma: issues facing the music industry in improving data management
© Crown Copyright 2019Music 2025ʌ investigates the infrastructure issues around the management of digital data in an increasingly stream driven industry. The findings are the culmination of over 50 interviews with high profile music industry representatives across the sector and reflects key issues as well as areas of consensus and contrasting views. The findings reveal whilst there are great examples of data initiatives across the value chain, there are opportunities to improve efficiency and interoperability
A New Business Model with a Plan for Alternative Revenue Streams for Design Factory Global Network (DFGN)
Objective of the study
The objective of this study was to develop a new business model with a plan for alternative revenue streams for Design Factory Global Network (DFGN). The term âalternativeâ in this context refers to revenue streams that will complement the current funding that comes from the Finnish government. At the time of writing this thesis, an important question which was under scrutiny was whether annual membership fees should be introduced to all members of the network.
Methodology
The grounded theory was used since there were no previous empirical studies on the research topic and there is a need to create a structured model based on the qualitative data. As such, the instruments of inquiry were interviews, observations and data from secondary sources.
Findings
The key finding of this research was that new members of the network were willing to pay annual membership fees with the expectation that they will get returns on their investments. Old members were not willing to pay annual membership fees but they were ready to provide financial support through other means. Data also revealed that there was a need for improvement in the governance guidelines of the network, especially as they relate to documentation and decision rights of all stakeholders.
Summary and Recommendations
As per the research objective, a new business model was successfully developed for Design Factory Global Network (DFGN). The model was based on Osterwalderâs (2004) Business Model Canvas. The following recommendations were also made:
* Official documents should be signed as part of the registration process of new members and the rights and obligations of every member â new and old â should be made explicit.
* Only new members should be charged annual membership fees for a minimum of three years.
* An integrated web-based system should be developed to serve as one-stop-shop for Design Factory Global Network (DFGN).
Regarding the plan for alternative funding sources, the following revenue streams were suggested:
1. Companies pay annual subscription fees to join the âintegrated systemâ platform
2. Companies pay to participate in the global studentsâ projects
3. Companies pay to participate in short ideation challenges aimed at solving companiesâ mission-centric problems
4. Governmentsâ funds for âspecialâ projects
5. Members pay annual subscription fees to access ââadvanced functionalitiesââ on the integrated system
6. A fraction of the income generated by complementors from users of the proposed integrated system
7. Philanthropic support from companies or wealthy individuals who are passionate about innovations in education
8. Endowment funds for innovation in education
9. Fees from special exclusive events during International Design Factory Week (IDFW)
10. Revenue from the alumni association of Design Factory Global Network (DFGN)
11. Generate revenue from non-intrusive data
Conclusion
The continuing increase in the membership of Design Factory Global Network (DFGN) suggests that academic institutions are beginning to realise the importance of interdisciplinary education that is student-centric and focused on solving real-world challenges
Systems approach for applying remote video technology and the Internet to real time weather and runway condition reporting for aviation use: Case study at rural airports in interior Alaska
Thesis (Ph.D.) University of Alaska Fairbanks, 2000Aviation is critical to the infrastructure of Alaska. However, systems that provide runway and weather condition information about rural airstrips are not meeting the needs of the aviation community. Accordingly, aviation safety is compromised, efficiency of operations is reduced and service to clients is mediocre. Research was conducted to determine methods of improving the accuracy and reliability of runway and weather condition reporting Systems in Interior Alaska. A thorough background study of current reporting systems was conducted. A statistical study of aviation accidents in Interior Alaska was completed to document the premise that runway condition and weather reporting systems contribute to the problem. Current reporting systems were analyzed to isolate root causes of system degradation. An analysis of primary stakeholders associated with aviation reporting systems was completed. An hypothesis was formed which favored the use of remote video camera technology to provide near real-time weather information directly to end users A $114 K grant was obtained to conduct a test of the capabilities and benefits that would accrue from transmitting images of distant runway and sky conditions onto the Internet. For nine months, images of the sky and runway from three distant airstrips in Ruby, Kaltag and Anaktuvuk Pass, Alaska were transferred every thirty minutes to a publicly accessible website for use by the aviation community in assessing current conditions for preflight planning. Technical feasibility was confirmed. It was clearly determined that the system exceeded the expectations of the aviation community and provided greatly improved weather information to pilots. The aviation community in Interior Alaska has embraced the concept, used it operationally and declared it to be a critical enhancement to current systems. The project was an overwhelming success as confirmed by surveys, national and international media releases, and intense interest in the project by both private and governmental agencies. Aspects of the system are now patent pending. The research concluded that the remote video concept should be expanded throughout Alaska under the auspices of the Federal Aviation Administration (FAA) and/or the National Weather Service (NWS). Strong evidence was obtained to support potential expansion throughout the United States and internationally
Creating New Pathways to Justice Using Simple Artificial Intelligence and Online Dispute Resolution
Access to justice in can be improved significantly through implementation of simple artificial intelligence (AI) based expert systems deployed within a broader online dispute resolution (ODR) framework. Simple expert systems can bridge the âimplementation gapâ that continues to impede the adoption of AI in the justice domain. This gap can be narrowed further through the design of multi-disciplinary expert systems that address user needs through simple, non-legalistic user interfaces. This article provides a non-technical conceptual description of an expert system designed to enhance access to justice for non-experts. The systemâs knowledge base would be populated with expert knowledge from the justice and dispute resolution domains. A conditional logic rule-based system forms the basis of the inference engine located between the knowledge base and a questionnaire-based user interface. The expert systemâs functions include problem diagnosis, delivery of customized information, self-help support, triage and streaming into subsequent ODR processes. Its usability is optimized through the engagement of human computer interaction (HCI) and effective computing techniques that engage the social and emotional sides of technology. The conceptual descriptions offered in this article draw support from empirical observations of an innovative project aimed at creating an expert system for an ODR-enabled civil justice tribunal
Top 10 technologies and their impact on CPA\u27s
https://egrove.olemiss.edu/aicpa_guides/2474/thumbnail.jp
Beyond Traditional Feedback Channels: Extracting Requirements-Relevant Feedback from TikTok and YouTube
The increasing importance of videos as a medium for engagement,
communication, and content creation makes them critical for organizations to
consider for user feedback. However, sifting through vast amounts of video
content on social media platforms to extract requirements-relevant feedback is
challenging. This study delves into the potential of TikTok and YouTube, two
widely used social media platforms that focus on video content, in identifying
relevant user feedback that may be further refined into requirements using
subsequent requirement generation steps. We evaluated the prospect of videos as
a source of user feedback by analyzing audio and visual text, and metadata
(i.e., description/title) from 6276 videos of 20 popular products across
various industries. We employed state-of-the-art deep learning
transformer-based models, and classified 3097 videos consisting of requirements
relevant information. We then clustered relevant videos and found multiple
requirements relevant feedback themes for each of the 20 products. This
feedback can later be refined into requirements artifacts. We found that
product ratings (feature, design, performance), bug reports, and usage tutorial
are persistent themes from the videos. Video-based social media such as TikTok
and YouTube can provide valuable user insights, making them a powerful and
novel resource for companies to improve customer-centric development
Educational Data Analytics for Teachers and School Leaders
Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks. This open access textbook is a tutorial for developing, practicing and self-assessing core competences on educational data analytics for digital teaching and learning. It combines theoretical knowledge on core issues related to collecting, analyzing, interpreting and using educational data, including ethics and privacy concerns. The textbook provides questions and teaching materials/ learning activities as quiz tests of multiple types of questions, added after each section, related to the topic studied or the video(s) referenced. These activities reproduce real-life contexts by using a suitable use case scenario (storytelling), encouraging learners to link theory with practice; self-assessed assignments enabling learners to apply their attained knowledge and acquired competences on EDL. By studying this book, you will know where to locate useful educational data in different sources and understand their limitations; know the basics for managing educational data to make them useful; understand relevant methods; and be able to use relevant tools; know the basics for organising, analysing, interpreting and presenting learner-generated data within their learning context, understand relevant learning analytics methods and be able to use relevant learning analytics tools; know the basics for analysing and interpreting educational data to facilitate educational decision making, including course and curricula design, understand relevant teaching analytics methods and be able to use relevant teaching analytics tools; understand issues related with educational data ethics and privacy. This book is intended for school leaders and teachers engaged in blended (using the flipped classroom model) and online (during COVID-19 crisis and beyond) teaching and learning; e-learning professionals (such as, instructional designers and e-tutors) of online and blended courses; instructional technologists; researchers as well as undergraduate and postgraduate university students studying education, educational technology and relevant fields
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