The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis

AlNuaimi, Bader K.; Khan, Mehmood; Ajmal, Mian M.

doi:10.1016/j.techfore.2021.120808

Cited by 76 publications

(55 citation statements)

References 74 publications

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“…Applying institutional theory and a resource-based view, Bag et al [56] demonstrated that the paths "BDA-artificial intelligence and sustainable manufacturing" and "BDA-AI and circular economy capabilities" are significant. Building on resource orchestration theory, AlNuaimi et al [57] demonstrated that the perceived implementation of eprocurement (EP) does not have a significant effect on environmental performance (ENP), but BDAC fully mediates between EP and ENP. Building on a knowledge-based view, Mani et al [58] demonstrated how companies can predict various social problems using BDA and mitigate environmental, economic, and social risks.…”

Section: Other Theories/viewsmentioning

confidence: 99%

Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

Lee

Mangalaraj

2022

BDCC

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Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations. Currently, along with the recent development in machine learning and computing infrastructure, big data analytics in the supply chain are surging in importance. In light of the great interest and evolving nature of big data analytics in supply chains, this study conducts a systematic review of existing studies in big data analytics. This study presents a framework of a systematic literature review from interdisciplinary perspectives. From the organizational perspective, this study examines the theoretical foundations and research models that explain the sustainability and performances achieved through the use of big data analytics. Then, from the technical perspective, this study analyzes types of big data analytics, techniques, algorithms, and features developed for enhanced supply chain functions. Finally, this study identifies the research gap and suggests future research directions.

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Section: Other Theories/viewsmentioning

confidence: 99%

Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

Lee

Mangalaraj

2022

BDCC

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“…Organisational resources need to be ensured to be available for use, e.g., Internet access. On the other hand, Alnuaimi et al (2021) mentioned data availability for procurement, such as access to fast-moving data. From the discussion above, it is apparent that an availability of quality Internet facilities is crucial for users to use the system.…”

Section: Efficiencymentioning

confidence: 99%

User Experience Dimensions for E-procurement

Hashim

Yusof

Hussain

et al. 2022

Journal of Information and Communication Technology

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The use of e-procurement is needed for business transactions, especially regarding procurement activities. However, system usersalways demand and expect to use the system without problems. Existing studies on e-procurement do not focus on user experience(UX). Only a few studies have identified dimensions for UX evaluation; however, they are for e-government online services and construction. Identifying the UX dimensions for e-procurement is important for measuring user experience to provide better services. Therefore, this study attempted to investigate and determine the dimensions of user experience for e-procurement. The method for selecting articles was adopted from the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). The study analysed the data using thematic analysis based on the Systems and software Quality Requirements and Evaluation (SQuaRE) standards, such as ISO 25022:2016 and ISO 25023:2016, as guidance. The findings showed that among the most used UX dimensions in the e-procurement literature were satisfaction, security, transparency, efficiency, and reliability. Other UX-related dimensions identified from the review were usability, compatibility, effectiveness, performance efficiency, functional suitability, attractiveness, explainability, fairness, and visibility. The study was conducted to identify the UX dimensions for e-procurement from literature studies by organising them using ISO 25022:2016 and ISO 25023:2016 standards. This study could serve as a guideline for designers, developers, and researchers to develop an e-procurement system by referring to the proposed UX dimensions to produce a positive user experience. Moreover, the findings are beneficial to practitioners on software quality attributes.

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“…The use of partial least squares (PLS) is gaining more attention in social science such as marketing (Danks et al, 2020;Dash, Paul, 2021), information systems (AlNuaimi et al, 2021;Barrett et al, 2021) and finance (Jabeur, 2017;Jabeur et al, 2021;Sghaier et al, 2018). PLS univariate regression is a model that links a dependent variable y to a collection of independent variables.…”

Section: Partial Least Square Discriminant Analysismentioning

confidence: 99%

Institutional Investors and Public Authority Ownership Impact on Green Bonds Issue: Evidence from France

Ballouk¹,

Mefteh‐Wali²,

Tabbah³

et al. 2023

Journal of Innovation Economics &Amp; Management

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Distribution électronique Cairn.info pour De Boeck Supérieur. © De Boeck Supérieur. Tous droits réservés pour tous pays.La reproduction ou représentation de cet article, notamment par photocopie, n'est autorisée que dans les limites des conditions générales d'utilisation du site ou, le cas échéant, des conditions générales de la licence souscrite par votre établissement. Toute autre reproduction ou représentation, en tout ou partie, sous quelque forme et de quelque manière que ce soit, est interdite sauf accord préalable et écrit de l'éditeur, en dehors des cas prévus par la législation en vigueur en France. Il est précisé que son stockage dans une base de données est également interdit.

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The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis

Cited by 76 publications

References 74 publications

Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

User Experience Dimensions for E-procurement

Institutional Investors and Public Authority Ownership Impact on Green Bonds Issue: Evidence from France

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