The role of information science and knowledge-based resources in delivering telehealth services

Author(s):  
M. Trafford ◽  
J. Consales ◽  
C. Hamasu
2014 ◽  
Vol 1 (1) ◽  
pp. 131-136
Author(s):  
Teodora Popescu ◽  
Ioan Moise Achim ◽  
Manuella Kadar

AbstractThe present paper analyses and exemplifies the role of information systems in the processes of enterprise transformation, by presenting the case study of a hotel chain that elaborated a new integrated information system in order to increase efficiency of the room booking process. The theoretical literature will outline the main theories concerning enterprise transformation and its role in the knowledge-based society, and in particular, its importance in efficiency-driven economies, such as Romania’s. The case study will also describe the IS in terms of motivation, options, anticipated benefits, related risks, implementation costs and duration, assessment of investment. A detailed activity plan will be provided, as well as an analysis of resources involved. Of extreme relevance is the presentation of the expected social impact of the development project, which proves the multifacetedness of enterprise transformation, through its large outreach to all stakeholders, not only employees and customers, but the society at large.


2022 ◽  
pp. 258-288
Author(s):  
Patrick Ngulube

Mixed methods research integrates qualitative and quantitative research approaches in many or all phases of a study to comprehensively address a research problem by collecting quantitative and qualitative data concurrently or in phases with the aim to maximizing their inherent advantages while minimizing their disadvantages. Many disciplines are embracing mixed methods research. Library and information science research is lagging behind in the adoption and use of mixed methods research. That might be due to limited access to the literature on the subject or difficulties in dealing with the relative lack of consistency and incomplete coherence among mixed methods researchers. This chapter traces the common characteristics and designs of mixed methods research, its growth, and application in research. It provides a framework to design, execute, and evaluate mixed methods research studies so that library and information science researchers and researchers from other fields may play a role in its development and application.


Author(s):  
Satwik Seshasai ◽  
Amar Gupta

The term 24-Hour Knowledge Factory connotes a globally distributed work environment in which teammates work on a project around the clock. The 24-Hour Knowledge Factory is a special case of a globally distributed team in which the different teams work on a sequential basis that has been clearly defined in advance. Whereas a manufactured item was the end product in the case of the factory which emerged as a consequence of the industrial revolution, knowledge-based services and knowledge-based products are the end deliverables in the case of the current information revolution; hence, the term 24-Hour Knowledge Factory. Work can be decomposed by task style or by organizational style, and allows for greater specialization of workers. A case study from IBM details surprising differences between colocated and distributed teams, and leads to a future state analysis for organizations seeking to study or implement the 24-Hour Knowledge Factory.


Author(s):  
János Végh ◽  
Ádám-József Berki

Information is commonly considered as a mathematical quantity that forms the basis of computing. In mathematics, information can propagate instantly, so its transfer speed is not the subject of information science. In all kinds of implementations of computing, whether technological or biological, some material carrier for the information exists, so the information’s propagation speed cannot exceed the speed of the carrier. Because of this limitation, for any implementation, one must consider the transfer time between computing units. We need a different mathematical method to take this limitation into account: classic mathematics can only describe infinitely fast and infinitely small computing system implementations. The difference between the mathematical handling methods leads to different descriptions of the behavior of the systems. The correct handling also explains why biological implementations can have lifelong learning and technological ones cannot. The conclusion about learning evidences matches others’ experimental evidence, both in technological and biological computing.


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