Due to climate change and rapidly increasing challenges of environmental disturbances, building coastal resilience is becoming necessary for coastal communities. Knowledge-based development and ventures are major subjects in the literature of building coastal resilience. However, current literature on the relationship between knowledge-based development and knowledge-based ventures in building coastal resilience is limited. In this paper, the author shows a design methodology of integrating both knowledge-based development and ventures in building coastal resilience. The methodology is grounded in the theories of input-process-output model of strategic entrepreneurship, docility and business incubation, distributed cognition and network effects, and process-centered value generation. The design is put into action to study the experiences of Louisiana in building coastal resilience during and after historical hurricane Katrina.
This study explores tacit knowledge transfer in healthcare, aiming to identify barriers and opportunities in sharing this nuanced expertise among practitioners and its impact on patient care standards. Employing a mixed-methods approach, it gathers data from healthcare professionals, analyzing it via reliability, statistical tests, and multinomial logistic regression. Results show moderate scale reliability, significant relationships between responses, and various factors influencing patient care quality, such as patient confidentiality, effectiveness of mentoring programs, and engagement in online forums. Challenges in tacit knowledge transfer were found insignificant, yet specific factors like mentoring and online participation are crucial for care quality. The study concludes that mentorship and organizational strategies play vital roles in enhancing care delivery by facilitating tacit knowledge sharing, underlining the importance of addressing confidentiality issues, and promoting innovation through active online engagement and effective knowledge use.
This book explores how blockchain technology is disrupting economies and transforming societies. It offers detailed insights into the synergistic and complementary effects of blockchain and other new and emerging technologies such as artificial intelligence, the internet of things, satellite imagery, and digital twins. The book highlights how the developments of ecosystems around blockchain are helping to realize the potential of this technology to act as a “trust machine” across more contexts and settings. Multidisciplinary in both scope and perspectives, the book looks at blockchain's potential for impacting challenges in supply chain management, security, privacy and compliancy issues, and transforming payment and settlement systems. It further provides insights into the opportunities, barriers, and enablers of blockchain adoption by organizations.
One of the emerging areas is knowledge co-creation, and more specifically, in an educational context, curriculum co-creation. The ability to solicit feedback, reactions, suggestions, and improvements with regards to courses and educational programs from students is an interesting and promising one, but a concept which requires that existing norms and practices be put aside to allow students to share in the evaluation, revision, and design process, together with instructors and administrators. This paper examines the foundations of curriculum co-creation, including its educational theory foundations, critical variables and considerations, and a review of recent programs and initiatives. A framework of the key curriculum co-creation variables is presented, followed by suggestions for future research.
Almost every country in the world is facing the issue of child trafficking. Besides abduction, children below 10 years sometimes get missed from their homes or other locations due to many reasons. following the criminal record, many of the abducted or missed children got received by police officials where majorly officials face difficulty to get correct information as the founded children are not in their normal state in general due to fear factor or less trust. It is also observed that such children also usually start stammering due to uncontrolled emotions. In this kind of situation, Police officials would not get the exact information of founded children and unable to contact their respective guardians. This paper proposes a possible solution “Rakshak” for this kind of difficult situation. The Rakshak is Machine Learning based software which inputs the recorded voice of such children by police officials and returns the voice as well as text output after being corrected by various techniques of the Rakshak.
