Zobrazeno 1 - 10
of 416
pro vyhledávání: '"Adegboyega Ojo"'
Autor:
Dritjon Gruda, Adegboyega Ojo
Publikováno v:
Current Research in Behavioral Sciences, Vol 5, Iss , Pp 100120- (2023)
In this study, we examine the relationship between anxiety and athletic performance, measuring pre-game anxiety in a corpus of 12,228 tweets of 81 National Basketball Association (NBA) players using an anxiety inference algorithm, and match this data
Externí odkaz:
https://doaj.org/article/f6a889babb084fc89f373962f28e8b9c
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0279164 (2023)
Recent research has shown that organizational leaders' tweets can influence employee anxiety. In this study, we turn the table and examine whether the same can be said about followers' tweets. Based on emotional contagion and a dataset of 108 leaders
Externí odkaz:
https://doaj.org/article/ed9c2618a82b4b3eae9943a45fe45d38
Autor:
Daniela Rohde, Mona Isazad Mashinchi, Dritjon Gruda, Nina Rizun, Adegboyega Ojo, Conor Foley, Rachel Flynn
Publikováno v:
HRB Open Research, Vol 5 (2022)
Introduction: The National Care Experience Programme (NCEP) conducts national surveys that ask people about their experiences of care in order to improve the quality of health and social care services in Ireland. Each survey contains open-ended quest
Externí odkaz:
https://doaj.org/article/9bfbdc2f6b3b40609adfeb514a0c7f75
Publikováno v:
PLoS ONE, Vol 17, Iss 3 (2022)
Do organizational leaders’ tweets influence their employees’ anxiety? And if so, have employees become more susceptible to their leader’s social media communications during the COVID-19 pandemic? Based on emotional contagion and using machine l
Externí odkaz:
https://doaj.org/article/b5142bbe856d4ea49ac2ef03566b7195
Autor:
Dritjon Gruda, Adegboyega Ojo
Publikováno v:
PLoS ONE, Vol 17, Iss 9, p e0274539 (2022)
In this paper, we explore the role of perceived emotions and crisis communication strategies via organizational computer-mediated communication in predicting public anxiety, the default crisis emotion. We use a machine-learning approach to detect and
Externí odkaz:
https://doaj.org/article/86679f2350d14f7394c83096cdba5e56
Autor:
Adegboyega Ojo, Nina Rizun
Publikováno v:
IEEE Access, Vol 7, Pp 169217-169256 (2019)
Significant progress has been made in linguistic-based text analytics particularly with the increasing availability of data and deep learning computational models for more accurate opinion analysis and domain-specific entity recognition. In understan
Externí odkaz:
https://doaj.org/article/a68392248ddd47f8ae69c9d6a99c6f8c
Autor:
Adegboyega Ojo, Dritjon Gruda
In this study, we examine the relationship between anxiety and athletic performance, measuring pre-game anxiety in a corpus of 12,228 tweets of 81 National Basketball Association (NBA) players using an anxiety inference algorithm, and match this data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc8b07ba595eec32f5d1f49145d10add
https://doi.org/10.31234/osf.io/ju8hf
https://doi.org/10.31234/osf.io/ju8hf
Autor:
Lukasz Porwol, Adegboyega Ojo
Publikováno v:
Information Polity. 26:501-519
e-Participation depends on a community of users-citizens who constructively engage and collaborate with governments and decision-makers on key democratic and social matters. Effective serious communication requires meaningful social interactions supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc461c2fbf6c3beaafe99c50c2e8e6b8
https://doi.org/10.3233/ip-210331
https://doi.org/10.3233/ip-210331
Autor:
Catherine Deen, Jun-Yeob Kim, Daniel A. Newman, Simon Lloyd D. Restubog, Peter Harms, Fan Xuan Chen, Dritjon Gruda, Da Yeon Her, Jack Ting-Ju Chiang, Ying-Yi Chih, Emily Grijalva, Dimitra Karanatsiou, Christian Kiewitz, Yihao Liu, Jim McCleskey, Adegboyega Ojo, Alexandros Psychogios, Hock-Peng Sin, Robert Lu Tang, Athena Vakali, Zheng Wang
Publikováno v:
Academy of Management Proceedings. 2022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15c7c727e5de17d6a25e2b62e0012221
https://doi.org/10.5465/ambpp.2022.11232symposium
https://doi.org/10.5465/ambpp.2022.11232symposium
Publikováno v:
Government Information Quarterly. 39:101754
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d45bd9903436b5a59e418a94e305103f
https://doi.org/10.1016/j.giq.2022.101754
https://doi.org/10.1016/j.giq.2022.101754