
BMC Public Health, Год журнала: 2024, Номер 24(1)
Опубликована: Дек. 18, 2024
Язык: Английский
BMC Public Health, Год журнала: 2024, Номер 24(1)
Опубликована: Дек. 18, 2024
Язык: Английский
Merits, Год журнала: 2025, Номер 5(1), С. 4 - 4
Опубликована: Янв. 30, 2025
As the fear of spread COVID-19 has faded, governments around world are moving to lift strict behavioral restrictions. How should human resource management at overseas subsidiaries adapt these system changes? To find answer, this paper clarifies anxiety employees working after restrictions introduced by during have been lifted, as well relationship between psychological and social resources intention leave. end, we applied verified analytical model “China 2020”, which was conducted on 2973 people in East South China from February May 2020, results published previous studies, questionnaire data “Wuhan 2023”, 813 Wuhan City January March 2023. a result, it shown that based conservation theory (COR) can be not only 2020 but also This study proposes an framework widely across time place used reference for foreign companies lack local information disasters expand while nature impact damage change.
Язык: Английский
Процитировано
0European Journal of Marketing, Год журнала: 2025, Номер unknown
Опубликована: Апрель 9, 2025
Purpose The rapid advancement of drone technology has opened up a new frontier in package delivery, presenting promising solution for logistics and transportation challenges. However, there remains significant gap identifying the public’s belief structure regarding adoption this extreme contexts, such as natural disasters or remote areas. This study aims to fill research by investigating public beliefs, emotions sentiments towards deliveries these high-risk scenarios, where traditional delivery methods are often impractical unavailable. Design/methodology/approach Using big data approach, authors applied machine learning scrape comments made social media users on recent popular posts videos related from Reddit YouTube. cleaning process narrowed down 6,403 2,337, which were then analysed using thematic, emotion sentiment analysis techniques. Findings thematic revealed five key themes structure: safety security concerns, scepticism distrust, ethical support innovation efficiency concerns about practicality feasibility. Sentiment showed predominantly negative outlook (53%), with confusion (19.32%) disappointment (14.26%) being most prevalent emotions. positive (45%) curiosity (9.08%) approval (4.51%) indicate cautious optimism interest potential benefits deliveries. Research limitations/implications Future should expand sources include Twitter, Facebook Instagram broader insights. Differentiating between e.g. disasters, pandemics conflict zones, can reveal varying perceptions. Investigating how influence actual behaviours through longitudinal designs field experiments is essential. Developing theoretical models that integrate unique factors like implications existing frameworks will enhance understanding. In addition, large-scale quantitative surveys needed generalise findings across different populations contexts. Practical have practical policymakers, developers marketers. Addressing safety, while highlighting help build trust acceptance. Transparent communication robust regulatory essential successful systems. Originality/value To best authors’ knowledge, one first systematically analyse discussions It extends Unified Theory Acceptance Use Technology 2 Diffusion Innovations theories, providing fresh insights into influencing acceptance technologies. results offer valuable guidance developing effective policies strategies systems, contributing reinvention marketing disruptive economy.
Язык: Английский
Процитировано
0BMC Public Health, Год журнала: 2024, Номер 24(1)
Опубликована: Дек. 18, 2024
Язык: Английский
Процитировано
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