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1 – 2 of 2Fuxiang Wang, Maowei Wu, He Ding and Lin Wang
This study investigated the relationship of strengths-based leadership with nurses’ turnover intention and the mediating roles of job crafting and work fatigue in the relationship.
Abstract
Purpose
This study investigated the relationship of strengths-based leadership with nurses’ turnover intention and the mediating roles of job crafting and work fatigue in the relationship.
Design/methodology/approach
Data comprising 318 valid participants from three hospitals in Beijing were gathered at two points in time, spaced by a two-month interval. Structural equation modeling with a bootstrapping analysis was applied to test hypotheses.
Findings
This study found that strengths-based leadership negatively relates to nurses’ turnover intention, and job crafting and work fatigue mediate the relationship of strengths-based leadership with turnover intention, respectively.
Originality/value
The findings of this study highlight the importance of strengths-based leadership in decreasing nurses’ turnover intention and reveal two potential mechanisms through which strengths-based leadership is related to nurses’ turnover intention. In order to retain nursing staff better, nurse leaders should execute more strengths-based leadership behaviors and make more efforts to promote nurses’ job crafting and to reduce nurses’ experience of work fatigue.
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Keywords
Maowei Xu, Bo Li, Olan K.M. Scott and Jerred Junqi Wang
This study aims to investigate how sports customers adopted over-the-top (OTT) services to consume sport content. Inspired by the technology acceptance model (TAM), the study aims…
Abstract
Purpose
This study aims to investigate how sports customers adopted over-the-top (OTT) services to consume sport content. Inspired by the technology acceptance model (TAM), the study aims to understand users' behavior when consuming sporting events and users' perceptions toward OTT services.
Design/methodology/approach
The participants of the study are Chinese sports consumers that use streaming services to watch live sport content. An online survey was distributed through HUPU Sports, a Chinese online communication community where sports fans can share opinions. To make sure all responses qualified to take part in the study, skip logic questions were added at the beginning of the questionnaire to ask participants to answer whether they used streaming services for watching sports. A total of 352 responses were received and there were 327 useable questionnaires.
Findings
The results revealed that viewing convenience, free of commercials and viewing quality were the main reasons impacting them to adopt OTT services. In terms of users' perceptions, paid users rated higher in perceived enjoyment, perceived value, perceived usefulness (PU) and ease of use than nonpaid users. OTT users' fandom and PU could predict the time the users spent on using these services, while the users' fandom and perceived value are positively related to the money users spent on these services. In addition, this study also found that users' fandom, perceived value, content quality, and ease of use are positively associated with users' intention to continue to use the service.
Originality/value
The study is one of the first attempts to explore how sports audiences adopted OTT services to consume sport content and explore the audiences' perceptions toward OTT usage. Previous studies have already investigated how users adopted music streaming services (Fernandes and Guerra, 2019) and other online streaming services (Shin and Park, 2021), but little attention has been given to sports streaming services specifically. Therefore, the findings of the study fill the gap in the extant knowledge of sport consumers' behavior and provide more insights to their online behaviors. Moreover, the authors also contribute to the growing digital media literature by advancing our understanding perceptional differences between paid users and unpaid users. The streaming services literature has primarily focused on general users (Fernandes and Guerra, 2019), but the services neglect to understand the differences in between paid and unpaid users.
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