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.

中文翻译：

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私营企业采用大数据分析 (BDA) 的前因：顺序解释方法

目的

本研究旨在探讨影响私营企业在发展中经济体采用大数据分析 (BDA) 的意图的关键因素。为此，该研究遵循顺序解释方法。

设计/方法论/途径

为了测试利用技术-组织-环境 (TOE) 框架与创新扩散 (DOI) 理论相结合的假设模型，采用了有目的的抽样技术来收集来自私营企业的 156 名 IT 和管理领域专家的数据，拟采用BDA并在巴基斯坦的服务业开展业务，包括电信、信息技术、农业和电子商务。使用偏最小二乘结构方程建模 (PLS-SEM) 技术对数据进行分析，并根据扎根理论对 NVIVO 12 中的 10 次半结构化访谈进行定性分析。

发现

实证研究结果表明，感知收益和高层管理人员支持这两个因素是企业在私营部门采用 BDA 的强大驱动力，而 IT 基础设施、数据质量、技术复杂性和财务准备情况以及调节因素， BDA采用的竞争对手和政府的政策和法规，不会对意图产生重大影响。此外，定性分析验证并进一步补充了 SEM 研究结果。

原创性/价值

与以往的技术采用研究不同，本研究基于TOE框架和DOI理论，提出了一种独特的研究模型，采用情境指标来衡量与私营企业相关的结构，以调查驱动因素与意图之间的因果关系。此外，PLS-SEM 的研究结果还通过定性分析进行补充，以验证因果关系。这项研究的结果具有理论和实践意义。