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I want to learn more! Integrating technology acceptance and task–technology fit models for predicting behavioural and future learning intentions
Journal of Workplace Learning Pub Date : 2021-06-04 , DOI: 10.1108/jwl-11-2020-0179
Alessandro Lo Presti , Assunta De Rosa , Enrico Viceconte

Purpose

Constant and frequent technological changes within organizations call for further scholarly attention, as behavioural intentions need to be coupled also with future learning intentions to predict the present and prospective individual adaptations and performance. This study, grounded on the technology acceptance model, aims to examine the association between training opportunities and behavioural and future learning intentions also taking into account the role of task–technology fit as a moderator.

Design/methodology/approach

A survey was carried out within a single organization in the water processing sector on a sample of 200 workers who recently experienced a technological change through the adoption of System Application and Product in data processing. A moderated–mediation model was estimated through regression analyses with bootstrapping.

Findings

The results were consistent with study hypotheses. In particular, task–technology fit amplified the positive association between perceived ease of use and training opportunities as well as the indirect effect of this latter on both behavioural and future learning intentions through perceived ease of use and perceived usefulness. In sum, the hypothesized moderated–mediation model was confirmed.

Originality/value

Three novelty factors of this study can be stressed: it is among the few studies carried out on Italian workers in the realm of technology adoption, it expanded the technology acceptance model by including traditional behavioural intentions and future learning intentions as outcome variables and it integrated the task–technology fit perspective within the technology acceptance model.



中文翻译:

我想了解更多!整合技术接受和任务-技术适合模型以预测行为和未来的学习意图

目的

组织内持续和频繁的技术变革需要进一步的学术关注,因为行为意图还需要与未来的学习意图相结合,以预测当前和未来的个人适应和表现。本研究基于技术接受模型,旨在检查培训机会与行为和未来学习意图之间的关联,同时考虑到任务-技术匹配作为调节器的作用。

设计/方法/方法

在水处理行业的一个组织内对 200 名工人进行了一项调查,这些工人最近通过在数据处理中采用系统应用程序和产品而经历了技术变革。通过自举回归分析估计了一个有调节的中介模型。

发现

结果与研究假设一致。特别是,任务-技术匹配放大了感知易用性和培训机会之间的正相关,以及后者通过感知易用性和感知有用性对行为和未来学习意图的间接影响。总之,假设的调节中介模型得到证实。

原创性/价值

可以强调本研究的三个新颖因素:它是在技术采用领域对意大利工人进行的少数研究之一,它扩展了技术接受模型,将传统行为意图和未来学习意图作为结果变量,并整合了技术接受模型中的任务-技术契合视角。

更新日期:2021-06-04
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