Antecedents of big data analytics (BDA) adoption in private firms: a sequential explanatory approach

IF 2.3 Q3 REGIONAL & URBAN PLANNING Foresight Pub Date : 2023-08-02 DOI:10.1108/fs-10-2022-0114
Javaria Waqar, O. S. Paracha
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Abstract

Purpose This study aims to examine the key antecedents influencing the private firm’s intention to adopt big data analytics (BDA) in developing economies. To do so, the study follows the sequential explanatory approach. Design/methodology/approach To test the hypothesized model that draws on the technology–organization–environment (TOE) framework paired with the diffusion of innovation (DOI) theory, a purposive sampling technique was applied to gather data from 156 IT and management domain experts from the private firms that intend to adopt BDA and operate in Pakistan’s service industry, including telecommunication, information technology, agriculture, and e-commerce. The data were analysed using the partial least squares structural equations modelling (PLS-SEM) technique and complemented with qualitative analysis of 10 semi-structured interviews in NVIVO 12 based on grounded theory. Findings The empirical findings revealed that the two constructs – perceived benefits and top management support – are the powerful drivers of a firm’s intention to adopt BDA in the private sector, whereas IT infrastructure, data quality, technological complexity and financial readiness, along with the moderators, BDA adoption of competitors and government policy and regulation, do not significantly influence the intention. In addition, the qualitative analysis validates and further complements the SEM findings. Originality/value Unlike the previous studies on technology adoption, this study proposed a unique research model with contextualized indicators to measure the constructs relevant to private firms, based on the TOE framework and DOI theory, to investigate the causal relationship between drivers and intention. Furthermore, the findings of PLS-SEM were complemented by qualitative analysis to validate the causation. The findings of this study have both theoretical and practical implications.
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私营企业采用大数据分析(BDA)的前提:一个顺序解释方法
本研究旨在探讨影响发展中经济体私营企业采用大数据分析(BDA)意愿的关键因素。为此,本研究采用顺序解释方法。设计/方法/方法为了检验利用技术-组织-环境(TOE)框架与创新扩散(DOI)理论相结合的假设模型,我们采用了一种有目的的抽样技术,从156名IT和管理领域专家那里收集数据,这些专家来自打算采用BDA并在巴基斯坦服务行业(包括电信、信息技术、农业和电子商务)开展业务的私营公司。数据使用偏最小二乘结构方程建模(PLS-SEM)技术进行分析,并辅以基于扎根理论的NVIVO 12中10个半结构化访谈的定性分析。实证研究结果显示,感知利益和高层管理支持这两个结构是企业在私营部门采用BDA的意愿的强大驱动因素,而IT基础设施、数据质量、技术复杂性和财务准备程度,以及调节因素、竞争对手采用BDA和政府政策法规,对企业的意愿没有显著影响。此外,定性分析验证并进一步补充了SEM的发现。独创性/价值不同于以往对技术采用的研究,本研究基于TOE框架和DOI理论,提出了一个独特的研究模型,使用情境化指标来衡量与私营企业相关的结构,以探讨驱动因素与意愿之间的因果关系。此外,通过定性分析对PLS-SEM的结果进行了补充,以验证因果关系。本研究结果具有理论和实践意义。
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来源期刊
Foresight
Foresight REGIONAL & URBAN PLANNING-
CiteScore
5.10
自引率
5.00%
发文量
45
期刊介绍: ■Social, political and economic science ■Sustainable development ■Horizon scanning ■Scientific and Technological Change and its implications for society and policy ■Management of Uncertainty, Complexity and Risk ■Foresight methodology, tools and techniques
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