The impact of word-of-mouth (WOM) on attitudes, behavioural intentions, and actual usage of non-pharmaceutical interventions (NPIs) among early and late adopters

Matti J. Haverila, Russell Currie, Kai C. Haverila, Caitlin McLaughlin, Jenny C. Twyford
{"title":"The impact of word-of-mouth (WOM) on attitudes, behavioural intentions, and actual usage of non-pharmaceutical interventions (NPIs) among early and late adopters","authors":"Matti J. Haverila, Russell Currie, Kai C. Haverila, Caitlin McLaughlin, Jenny C. Twyford","doi":"10.1108/ijphm-01-2022-0009","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study aims to examine how the theory of planned behaviour and technology acceptance theory can be used to understand the adoption of non-pharmaceutical interventions (NPIs). The relationships between attitudes, behavioural intentions towards using NPIs, actual use of NPIs and word-of-mouth (WOM) were examined and compared between early and late adopters.\n\n\nDesign/methodology/approach\nA survey was conducted to test the hypotheses with partial least squares structural equation modelling (n = 278).\n\n\nFindings\nThe results indicate that relationships between attitudes, intentions and behavioural intentions were positive and significant in the whole data set – and that there were differences between the early and late adopters. WOM had no substantial relationship with actual usage and early adopters’ behavioural intentions.\n\n\nOriginality/value\nThis research gives a better sense of how WOM impacts attitudes, behavioural intentions and actual usage among early and late adopters of NPIs and highlights the effectiveness of WOM, especially among late adopters of NPIs. Furthermore, using the TAM allows us to make specific recommendations regarding encouraging the use of NPIs. A new three-stage communications model is introduced that uses early adopters as influencers to reduce the NPI adoption time by late adopters.\n","PeriodicalId":51798,"journal":{"name":"International Journal of Pharmaceutical and Healthcare Marketing","volume":"140 28","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Pharmaceutical and Healthcare Marketing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijphm-01-2022-0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose This study aims to examine how the theory of planned behaviour and technology acceptance theory can be used to understand the adoption of non-pharmaceutical interventions (NPIs). The relationships between attitudes, behavioural intentions towards using NPIs, actual use of NPIs and word-of-mouth (WOM) were examined and compared between early and late adopters. Design/methodology/approach A survey was conducted to test the hypotheses with partial least squares structural equation modelling (n = 278). Findings The results indicate that relationships between attitudes, intentions and behavioural intentions were positive and significant in the whole data set – and that there were differences between the early and late adopters. WOM had no substantial relationship with actual usage and early adopters’ behavioural intentions. Originality/value This research gives a better sense of how WOM impacts attitudes, behavioural intentions and actual usage among early and late adopters of NPIs and highlights the effectiveness of WOM, especially among late adopters of NPIs. Furthermore, using the TAM allows us to make specific recommendations regarding encouraging the use of NPIs. A new three-stage communications model is introduced that uses early adopters as influencers to reduce the NPI adoption time by late adopters.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
口碑(WOM)对早期和晚期非药物干预措施(NPI)的态度、行为意向和实际使用情况的影响
目的本研究旨在探讨计划行为理论和技术接受理论如何用于理解非药物干预措施的采用。对早期和后期采用者的态度、使用新产品导入的行为意向、实际使用新产品导入和口碑(WOM)之间的关系进行了研究和比较。设计/方法/方法:采用偏最小二乘结构方程模型(n = 278)进行调查以检验假设。研究结果表明,在整个数据集中,态度、意图和行为意图之间的关系是积极而重要的,而且在早期和晚期的采用者之间存在差异。口碑与实际使用和早期采用者的行为意图没有实质性的关系。原创性/价值本研究更好地了解了口碑如何影响新产品导入的早期和后期采用者的态度、行为意图和实际使用情况,并强调了口碑的有效性,特别是在新产品导入的后期采用者中。此外,通过使用TAM,我们可以就鼓励使用npi提出具体建议。介绍了一种新的三阶段通信模型,该模型使用早期采用者作为影响者,以减少后期采用者采用新产品导入的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.10
自引率
8.30%
发文量
21
期刊最新文献
Progress and trends in healthcare marketing strategy (2018–2022): A descriptive and bibliometric analysis of the Web of Science (WOS) dataset Modelling organ donation information adoption among Malaysian youth using the information adoption model (IAM) The impact of word-of-mouth (WOM) on attitudes, behavioural intentions, and actual usage of non-pharmaceutical interventions (NPIs) among early and late adopters Does the pharmaceutical industry’s growth relate to Bangladesh’s macroeconomic stability? Food as an ingredient of well-being: from food and well-being to food well-being (FWB): a comparative study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1