Department of Management Sciences, COMSATS University Islamabad (Sahiwal Campus), Sahiwal, 5700, Pakistan.
Lahore Business School, University of Lahore (Sargodha Campus), Sargodha, 40100, Pakistan.
Environ Sci Pollut Res Int. 2021 Jul;28(27):36174-36192. doi: 10.1007/s11356-020-12163-3. Epub 2021 Mar 9.
The growing adverse impact of IT products in developing countries like Pakistan is increasing, seeking academicians' and practitioners' attention to adopt green IT products in Pakistan. In this regard, several researchers provided different independent theoretical models for adopting green IT, but which model fits best in the scenario is still vague. Therefore, this study used three well-developed competing models: the technology acceptance model, the unified theory of acceptance and use of technology, and the decomposed theory of planned behavior to investigate green IT adoption in Pakistan. For this purpose, data were collected through a survey method using a purposive sampling technique, and partial least squares structural equation modeling (PLS-SEM) was used to analyze three competing models. Using the PLS model selection criteria along with standard model selection criteria, the results suggested that the decomposed theory of planned behavior (DTPB) is the most parsimonious and has the best explanatory and predictive power than other available alternative theoretical models. Moreover, the study identified different significant factors affecting consumers' intention to adopt green IT products in Pakistan. The theoretical and practical implication of this study is discussed. In the final section, limitations and future directions are elaborated.
在巴基斯坦等发展中国家，信息技术产品的负面影响日益增加，这引起了学术界和从业者的关注，他们开始呼吁在巴基斯坦采用绿色信息技术产品。在这方面，一些研究人员提出了不同的独立的绿色信息技术采用理论模型，但哪种模型最适合这种情况仍不明确。因此，本研究使用了三个成熟的竞争模型：技术接受模型、统一技术接受和使用理论以及计划行为理论的分解，来调查巴基斯坦对绿色信息技术的采用。为此，本研究通过使用目的性抽样技术的调查方法收集数据，并使用偏最小二乘结构方程建模（PLS-SEM）来分析这三个竞争模型。使用 PLS 模型选择标准以及标准模型选择标准，结果表明，计划行为理论的分解（DTPB）是最简约的，并且比其他可用的替代理论模型具有更好的解释和预测能力。此外，本研究还确定了影响巴基斯坦消费者采用绿色信息技术产品的意图的不同重要因素。本研究讨论了其理论和实际意义。在最后一节中，阐述了研究的局限性和未来的研究方向。
