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首页> 外文期刊>Technological forecasting and social change >Technology acceptance among micro-entrepreneurs in marginalized social strata: The case of social innovation in Bangladesh
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Technology acceptance among micro-entrepreneurs in marginalized social strata: The case of social innovation in Bangladesh

机译:边缘化社会阶层的微型企业家对技术的接受程度:孟加拉国的社会创新案例

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摘要

Technology adoption by the marginalized community is indeed an important issue in global poverty reduction. To realize it, this paper contributes by doing an empirical test of the technology acceptance model, amongst those users typically always deprived in the existing social structure. Firstly, the study aims to examine the influence of Technology Readiness Index (TRI) 2.0's four indicators (optimism, innovativeness, discomfort and insecurity) on bKash entrepreneurs' perceived ease of use (PEOU) and perceived usefulness (PU) of bKash technology. Secondly, it aims to investigate the effect of 'Wash' entrepreneurs' PEOU and PU on their wellbeing. A total of 360 usable data were collected from the bKash agents in Bangladesh. We employed SEM-P1S3.0 for data analysis. The results indicate that optimism and innovativeness strongly drive perceived ease of use and perceived usefulness. Subjective well-being was found to be strongly predicted by perceived ease of use and perceived usefulness. The study indicates that poor people are somewhat ready to use and accept technology that leads to a sense of well-being. Bringing together the concept of subjective well-being with TRI and Technology Acceptance Model (TAM) is this paper's contribution to the knowledge domain. (C) 2017 Elsevier Inc. All rights reserved.
机译:边缘化社区采用技术确实是全球减贫的重要问题。为了实现这一目标,本文通过对技术接受模型进行了实证检验,在那些通常总是被现有社会结构剥夺的用户中做出了贡献。首先,该研究旨在检验技术就绪指数(TRI)2.0的四个指标(乐观,创新,不舒适和不安全)对bKash企业家对bKash技术的感知易用性(PEOU)和感知有用性(PU)的影响。其次,它旨在调查“洗涤”企业家的PEOU和PU对他们的幸福感的影响。从孟加拉的bKash代理商收集了总共360个可用数据。我们采用SEM-P1S3.0进行数据分析。结果表明,乐观和创新强烈地推动了人们对易用性和实用性的感知。发现主观幸福感是通过感知的易用性和感知的有用性来强烈预测的。该研究表明,穷人已经做好了使用和接受能够带来幸福感的技术的准备。本文将TRI和主观幸福感的概念与技术接受模型(TAM)结合在一起,是对知识领域的贡献。 (C)2017 Elsevier Inc.保留所有权利。

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