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Culture, demography and individuals' technology acceptance behaviour : a PLS based structural evaluation of an extended model of technology acceptance in South-Asian country context

机译:文化,人口统计和个人技术接受行为:基于pLs的南亚国家背景下技术接受扩展模型的结构评估

摘要

The models that predict the factors of individuals’ acceptance behaviour are predominantly based on a technology acceptance model (TAM) or the TAM’s conceptualisation. Although the TAM has a parsimonious structure and good explanatory power across the time, population and context, it is still criticised by a number of researchers. Categorically, it is criticised due to: inherent ‘cultural bias’ that limits its generalisability across cultures (national to organisational level); its underlying conceptualisation of predicting acceptance behaviour solely based on an ‘individual-based reactions’ that limits its applicability over the group’s effect (normative and social influence); and finally, due to its presupposition to examine the effect of ‘external variables’ through the only mediation effect of beliefs’ perceived ease of use (PEOU) and perceived usefulness (PU) that limits its ability to be extended beyond its boundaries by adding further factors directly or indirectly affecting intention behaviour (BI). To overcome mentioned limitations, an extended technology acceptance model to suit a developing country context is presented. The model attempted to delineate the direct relationship between behavioural beliefs, normative and control beliefs, management support beliefs, and task-specific beliefs towards acceptance intention and usage. In addition, the model examined the overlooked moderating impact of demographic and situational variables (age, gender, organisational type, academic position, educational level, experience usage and voluntariness) and cultural dimensions (masculinity-femininity, individualism-collectivism, power distance, and uncertainty avoidance) on indirect relations predicting acceptance behaviour. This study used a quantitative methodology to investigate the correlational paths. Using a cross-sectional survey method, data was collected from 504 academics working in 25 public and private higher educational institutions in Pakistan. Overall response rate was 53.9% (i.e. 504 out of 935). After data-screening, the final model was tested with 380 subjects. Hypothetical relationships were examined using structural equation modelling (SEM) based on the partial least squares (PLS) at the first stage, and with analysis of moment structures (AMOS) at the second stage. The indirect exploratory effect of the moderators was examined using multi-group analysis (MGA) method. The study findings indicate that the extended model achieved an acceptable fit with the data and most of the hypothetical paths were significant. Specifically, in the direct relationships, out of 20 paths representing 12 hypotheses, 11 were supported leaving 9 as unsupported. The highest variance explained by the independent variables towards dependent variables was quite similar in PU and BI (R2=26% in both using PLS; R2=34% in BI and 33% in PU using AMOS). The highest significant path was perception of usefulness, followed by academic tasks and resource facilitations towards intention; and perception of ease of use, subjective norms, and institute support towards perception of usefulness. The findings of moderating factors i.e., demographics revealed that subjects younger in age, female in gender and bachelor degree in education were influenced by the perception of ease of use, and normative beliefs; control beliefs were influenced by the organisation being private; management support at institute level was more influential in private organisations with mandatory settings; and the effect of perception of usefulness and normative beliefs was decreased with the increased experience. From the cultural perspective, the highly sensitive path was between normative beliefs and the perception of usefulness, so that the effect was stronger for subjects who were feminine in nature, collectivist in society, and high on power distance. Demographic factor academic-position and cultural dimension uncertainty avoidance did not produce any moderation effect. Finally, based on the findings, limitations and implications for theory and practices are devised.
机译:预测个人接受行为的因素的模型主要基于技术接受模型(TAM)或TAM的概念化。尽管TAM在时间,人口和背景方面具有简约的结构和良好的解释力,但仍受到许多研究人员的批评。归根结底,它受到批评是由于:固有的“文化偏见”限制了其在不同文化(国家到组织级别)的通用性;仅基于“基于个人的反应”来预测接受行为的基本概念,从而限制了其对小组效应(规范和社会影响)的适用性;最后,由于它的前提是通过信念的感知易用性(PEOU)和感知有用性(PU)的唯一中介效应来检验“外部变量”的效应,从而限制了其通过进一步扩展来扩展其边界的能力直接或间接影响意图行为(BI)的因素。为了克服上述限制,提出了一种扩展的技术接受模型以适合发展中国家的情况。该模型试图描述行为信念,规范信念和控制信念,管理支持信念以及针对接受意图和使用的任务特定信念之间的直接关系。此外,该模型还研究了人口统计学和情境变量(年龄,性别,组织类型,学历,教育水平,经验使用和自愿性)和文化维度(男性气质,女性气质,个人主义-集体主义,权力距离和不确定性规避),以间接关系预测接受行为。这项研究使用定量方法来研究相关路径。使用横断面调查方法,从巴基斯坦25个公立和私立高等教育机构的504名学者中收集了数据。总体回应率为53.9%(即935分中的504分)。经过数据筛选后,最终模型对380位受试者进行了测试。在第一阶段使用基于偏最小二乘(PLS)的结构方程模型(SEM),并在第二阶段使用弯矩结构(AMOS)分析来检查假设关系。使用多组分析(MGA)方法检查主持人的间接探索作用。研究结果表明,扩展模型与数据达到了可接受的拟合度,并且大多数假设路径都很重要。具体而言,在直接关系中,在代表12个假设的20条路径中,有11条得到了支持,而有9条没有得到支持。在PU和BI中,自变量对因变量的最高方差非常相似(使用PLS时,R2 = 26%;使用AMOS时,BI中R2 = 34%,PU中33%)。最高的重要途径是对有用性的感知,其次是学术任务和实现意图的资源便利;以及对易用性,主观规范的理解,以及对有用性的理解的支持。适度因素(即人口统计学)的发现表明,年龄较小,性别和教育学历的女性受易用性和规范性信念的影响;控制信念受到组织私有的影响;在具有强制性设置的私人组织中,机构级别的管理支持更具影响力;随着经验的增加,对有用性和规范性信念的感知效果也随之降低。从文化的角度来看,高度敏感的路径是在规范性信念与有用性感知之间,因此,对于本质上是女性,社会上集体主义和权力距离遥远的主体,其影响更为强烈。人口因素的学术地位和文化维度的不确定性回避没有产生任何调节作用。最后,根据研究结果,设计了理论和实践的局限性和含义。

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