行为抽象(相对于具体)层面在接受卫生技术方面的作用

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Bharat Taneja, Kumkum Bharti
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引用次数: 0

摘要

在试图说服外科医生接受他们的医疗技术的同时,医疗设备的销售代表每天都面临着手术室里的挑战。外科医生在接受任何形式的医疗技术时都表现出认知的复杂性(抽象与具体)。外科医生代表病人选择技术,考虑病人的优先事项和期望。先前的研究主要集中在卫生技术采用背景下的认知复杂性,但技术接受问题尚未得到解决。本研究的目的是利用解释水平(CL)理论来确定行为抽象水平在接受外科卫生技术中的作用。设计/方法/方法基于556分钟的研讨会数据和半指导性访谈,分析了外科医生接受卫生技术的经验。一种非指示的观察方法被用来允许在自然环境中自发出现CL尺寸。采用分类模型进行数据编码,并在传统多维尺度和分层聚类分析的基础上,采用MAXQDA生成联合显示结果。结果努力期望、学习曲线、绩效风险、习惯、患者临床状况、临床结果期望、技术设置和社会影响被解释为低解释水平(LCL)。另一方面,患者支付能力、技术成本、价格价值、财务风险和患者绩效预期被解释为高解释水平(HCL)。该研究还揭示了基于二元性的因素,显示接近HCL,但在LCL相交,反之亦然。基于二元性的因素,如努力预期、手术技术、信任和感知风险在高水平人群中相交,而绩效预期、相对优势、时间预期、感知价值、身体风险和同伴群体影响在低水平人群中相交。原创性/价值这是早期的研究之一,展示了行为抽象对接受手术健康技术的行为意向的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of behavioural abstraction (vs concrete) levels in accepting health technologies
Purpose While attempting to persuade surgeons to accept their health technology, sales representatives for medical devices face daily challenges in the operating room. Surgeons exhibit cognitive complexity (abstractness vs. concreteness) when accepting any form of health technology. Surgeons choose technologies on behalf of their patients, taking patient priorities and expectations into account. Prior research has focused on cognitive complexity in the context of health technology adoption, but the issue of technology acceptance has not been addressed. The purpose of this study to use the construal level (CL) theory to determine the role of behavioural abstraction levels in the acceptance of surgical health technology. Design/methodology/approach On the basis of 556 min of seminar-based data and semi-directive interviews, the surgeons’ experiences regarding the acceptance of health technology were analysed. A non-directive observational method was used to permit the spontaneous emergence of CL dimensions in a natural environment. A categorization model was used for data coding, and MAXQDA, in addition to traditional multidimensional scaling and hierarchical cluster analysis, was used to generate results with joint displays. Findings Effort expectancy, learning curve, performance risk, habit, patient clinical condition, clinical outcome expectancy, technology setting and social influence were construed at a low construal level (LCL). On the other hand, patient paying capacity, technology cost, price value, financial risk and patient performance expectation were construed at a high construal level (HCL). The study also reveals duality-based factors which showed proximity to HCL but intersected at LCL, and vice versa. Duality-based factors such as effort expectancy, surgical technique, trust and perceived risk intersected at HCL, whereas performance expectancy, relative advantage, time expectancy, perceived value, physical risk and peer group influence intersected at LCL. Originality/value This is one of the early studies that presented the impact of behavioural abstraction on behavioural intention to accept health technology for surgeries.
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来源期刊
Global Knowledge Memory and Communication
Global Knowledge Memory and Communication INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.20
自引率
16.70%
发文量
77
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