Veterinarians’ attitudes towards digital technology – An empirical study

2013 ◽  
Vol 8 (2) ◽  
pp. e14
Author(s):  
S. Leskinen
Keyword(s):  
Empirical Study ◽  
Digital Technology

scholarly journals EMBEDDING ARTIFICIAL INTELLIGENCE IN HOSPITALITY & TOURISM

2021 ◽  
Vol 58 (2) ◽  
pp. 5384-5389
Author(s):  
Dr.Sameer Koranne, Sukhmani Sandhu
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Empirical Study ◽  
Digital Technology ◽  
Hospitality Industry ◽  
Descriptive Analysis ◽  
Competitive Environment ◽  
Huge Amount ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

Competitive environment and being global trade; the tourism and hospitality industry adopted digital technology a long back and many functions have been digitalized. The travelling guest leaves digital foot prints across various components of tourism and thus a huge amount of data is generated. The customer satisfaction has been an integral part of this industry and providing appropriate service solutions is vital for excelling. Artificial Intelligence is utilized for exploring and analyzing guest data and compliments decision making. The effective existence of AI across various tourism and hospitality functions is investigated through empirical study and validated through descriptive analysis.  

Current Issues: Advanced Digital Technology for Supervising Graduate Clinicians

2010 ◽  
Vol 20 (1) ◽  
pp. 9-13 ◽  
Author(s):  
Glenn Tellis ◽  
Lori Cimino ◽  
Jennifer Alberti
Keyword(s):  
Real Time ◽  
Digital Technology ◽  
Clinical Training ◽  
State Of The Art ◽  
Clinical Skills ◽  
Slow Motion ◽  
Video Capture ◽  
Microsoft Excel ◽  
Clinical Supervisors ◽  
Training And Supervision

Abstract The purpose of this article is to provide clinical supervisors with information pertaining to state-of-the-art clinic observation technology. We use a novel video-capture technology, the Landro Play Analyzer, to supervise clinical sessions as well as to train students to improve their clinical skills. We can observe four clinical sessions simultaneously from a central observation center. In addition, speech samples can be analyzed in real-time; saved on a CD, DVD, or flash/jump drive; viewed in slow motion; paused; and analyzed with Microsoft Excel. Procedures for applying the technology for clinical training and supervision will be discussed.

Individuals without jobs: An empirical study of job-seeking behavior and reemployment.

1996 ◽  
Vol 81 (1) ◽  
pp. 76-87 ◽  
Author(s):  
Connie R. Wanberg ◽  
John D. Watt ◽  
Deborah J. Rumsey
Keyword(s):  
Empirical Study ◽  
Job Seeking ◽  
Seeking Behavior
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