Libraries at University of Nebraska-Lincoln

 

Date of this Version

2020

Document Type

Article

Abstract

Today we are living in global ICT market, where technology, user perception, competition, International rivals, culture and social environment are increasingly changing day by day than our expectations. We have to prepare ourselves according to the rapid changes of ICT in fast changing environment. If we fail to face these challenges and demands, we would easily fall into the trap of stress. Stress is a negative consequence of modern living. People are stressed due to overwork, job insecurity, health related issues, multiple responsibilities and increase in pace of life. Pascal (1992) defined stress in terms of perceived environmental situation which threatens the gratification of needs. The present study is an attempt to explore the research productivity on stress during the time period of 2009-2018. The data was collected from Web of Science which is one of the largest citations and abstracting database, owned by Thomson Reuters. The main findings of the study revealed that there is a growing trend of publications during the time period of 2009-2018. Majority of the publication has been produced in the year 2018 (123,822; 13.61%) and the least number of publications recorded in the year 2009 (63,321; 6.95%). The leading document type in which research has been published consists of journal articles (793,868; 87.20%) and USA (248,695; 27.31%) being the most productive nation on stress research output worldwide. In language analysis, English is found to be the dominant language (887,350; 97.40%) in overall publications. The most prolific authors on stress research output are Wang (3,929; 0.43%), Zhang (3,658;0.40%) and Liu (3,276; 0.36%). The most commonly used journal in which maximum research output has been published is PLOS One. At last, the Chinese Academy of Science, Harvard University and the Russian Academy of Science are found to be the most productive institutions contributing to the stress related database

Share

COinS