The impact of management practices and industry 4.0 technologies on supply chain sustainability: A systematic review

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e36421 - e36421

Published: Aug. 23, 2024

This systematic review addresses a significant gap in the existing literature by examining intricate relationship between management practices and Industry 4.0 technologies shaping supply chain sustainability. While prior studies have explored their individual impacts, this synthesizes categorizes findings to identify nuanced trends that contribute efficiency, waste reduction, environmental footprints. To achieve goal of study, rigorous search strategy was employed select peer-reviewed journal articles focusing on total quality management, just-in-time, vendor-managed inventory, lean, manufacturer-led decentralized systems, blockchain, internet things, big data context The selected underwent thorough evaluation ensure relevance. highlight key insights: adoption practices, particularly significantly contributes reducing waste, enhancing minimizing footprints across chains. Simultaneously, integration industry like Internet empowers data-driven decision-making, transparency, traceability, amplifying sustainability efforts. In conclusion, novel perspective synthesizing, categorizing, analyzing impact Its offer valuable insights for addressing contemporary challenges advancing sustainable amid dynamic global scenarios.

Language: Английский

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Attitudes toward the adoption of accounting analytics technology in the digital transformation landscape

Journal of Accounting & Organizational Change, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 30, 2024

Purpose The main purpose of this study is to determine the accounting analytics technology (AAT) adoption among manufacturing small and medium-sized enterprises (SMEs) based on extended acceptance model (TAM). Design/methodology/approach quantitative research approach with online surveys was used collect data from 219 managers SMEs in Jordan. To test suggested model, partial least squares structural equation modeling used. Findings findings indicated that all direct paths were found be significant hypothesized directions. Ultimately, results also revealed perceived usefulness has mediated relationship between ease use intention AAT, hence indirect hypotheses accepted. Originality/value This successfully TAM context AAT Jordanian by including new factors along original particularly postpandemic era.

Language: Английский

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What determines data analytics systems performance in financial engineering? A user perspective

VINE Journal of Information and Knowledge Management Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 5, 2024

Purpose Even though the end-user satisfaction construct has gained prominence as a surrogate measure of information systems performance assessment, it received scant formal treatment and empirical examination in data analytics field. In this respect, study aims to examine vital role user proxy system financial engineering context. Design/methodology/approach This empirically validated proposed model using primary quantitative obtained from managers, engineers analysts who are working at Jordanian institutions. The were tested partial least squares-based structural equation modeling. Findings analysis results identified that technology quality, knowledge quality decision key factors enhance environment with an explained variance around 69%. Originality/value research contributed discourse regarding pivotal context developing countries such Jordan, which lays firm foundation for future research.

Language: Английский

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Exploring FinTech trends in Jordan: insights from the post-COVID-19 era

foresight, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Purpose This study aims to investigate how the COVID-19 pandemic has impacted growth of FinTech within Jordanian context. Specifically, it examines antecedent factors influencing users’ intentions adopt and use services during this unprecedented period. Design/methodology/approach A quantitative research method approach with partial least squares-structural equation modelling was used test proposed model. Findings The results structural path revealed that drivers behavioural are perceived usefulness, self-efficacy, vulnerability, subjective norms, severity, certainty resistance these explain 79.5% variance intention. Research limitations/implications identifies key for acceptance in Jordan, offering actionable insights policymakers service providers. Building user trust technology (security, effectiveness transparency) is crucial, alongside leveraging social influence (testimonials, endorsements) boosting awareness/knowledge through campaigns educational initiatives. study’s generalizability limited by its sample, drawn from three regions dominated potential users. Comparing actual perceptions, including users diverse contexts (e.g. other developing countries), could address this. In addition, using qualitative methods exploring indirect relationships (mediating/moderating) would provide richer into Jordan. Originality/value While prior explored adoption, studies conducted makes several contributions. Firstly, specifically trends post-COVID-19 era a period marked accelerated digital transformation evolving behaviours. Secondly, extends existing models adoption incorporating “perceived privacy, value, use”, addition established usefulness ease use”. expanded model provides more holistic understanding barriers Finally, empirical evidence market, valuable financial institutions seeking promote inclusion economy undergoing rapid change. focus on post-pandemic context, combined extended theoretical model, offers novel contribution literature.

Language: Английский

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The influence of digital disclosure language adoption on decrease financial information asymmetry and increase its quality

Information Discovery and Delivery, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 26, 2024

Purpose The main purpose of this study is to determine the antecedent factors digital financial disclosure language adoption and its impact on decreasing information asymmetry increasing quality. Design/methodology/approach data was obtained from 116 managers, who are working responsible for preparing filing statements reports in listed Jordanian firms Amman Stock Exchange. partial least squares structural equation modeling approach used analysis. Findings empirical results revealed that reporting positively influenced by perceived usefulness ease use. Besides, outcomes also confirm influences accounting quality, hence hypotheses H1 , H2 H3 were accepted. Originality/value This varies previous studies because it considered among first improving quality sustainability an setting a developing country perspective such as Jordan.

Language: Английский

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The antecedents and outcomes of accounting information systems usage: the indirect effect of IT knowledge

Knowledge and Information Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

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ChatGPT as an educational resource for accounting students: expanding the classical TAM model

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

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Financial innovation: predicting determinants of blockchain technology adoption and its impact on financial firms performance

International Journal of Innovation Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Purpose This study aims to empirically examine and analyze the technological factors that influence adoption of blockchain technology, particularly within financial industry. It also predicts how adopting technology may affect firms’ performance from a multiple-measure perspective. Design/methodology/approach The research model was validated using quantitative data collected 144 decision-makers working in Jordanian firms. obtained through cross-sectional survey approach analyzed partial least squares structural equation modeling. Findings results demonstrated such as security, compatibility, readiness relative advantage significantly influenced adoption. findings provide evidence positively impacts innovation, operational, market performance. Research limitations/implications focused solely on affected industry context. Further can investigate organizational, environmental or economic better generalize findings. Practical implications offers valuable insights into determinants benefits this be used guide practitioners policymakers toward promoting facilitating use Originality/value fills significant gap academic literature since only few studies have endeavored ascertain its impact firms context developing country like Jordan.

Language: Английский

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Future front of finance: the role of FinTech strategies, competitiveness dynamics and sustainable solutions

Competitiveness Review An International Business Journal incorporating Journal of Global Competitiveness, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Purpose The main purpose of this research is to identify the role cultural acceptance as a moderating factor in shaping relationship between competitiveness Fintech Solutions and both adoption customer trust. Design/methodology/approach This study used questionnaire gather data from 231 respondents Jordan. Using structural equation modeling-partial least squares (SEM-PLS), proposed model evaluated, hypotheses are tested. Findings results SEM-PLS analysis revealed significant influences adoption, regulatory environments, technological infrastructure trust on solutions. Notably, emerges contextual filter, interplay trust, competitiveness. Originality/value contributes theoretical insights by underscoring pivotal dynamics From practical standpoint, findings suggest formulation tailored strategies for diverse markets, with an emphasis adaptation product development align nuances. However, acknowledges limitations underscores importance longitudinal comparative comprehensively grasp Fintech.

Language: Английский

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Big data-driven corporate financial forecasting and decision support: a study of CNN-LSTM machine learning models

Frontiers in Applied Mathematics and Statistics, Journal Year: 2025, Volume and Issue: 11

Published: April 11, 2025

With the rapid advancement of information technology, particularly widespread adoption big data and machine learning, corporate financial management is undergoing unprecedented transformation. Traditional methods often lack accuracy, speed, flexibility in forecasting decision-making. This study proposes a hybrid Convolutional Neural Network (CNN) Long Short-Term Memory (LSTM) model to enhance prediction decision efficiency. Utilizing from A-share listed companies CSMAR database (2000–2023), we analyzed 54 key indicators across 54,389 observations. The underwent preprocessing dimensionality reduction via Principal Component Analysis (PCA) eliminate redundancy noise. CNN-LSTM was then trained tested on refined dataset. Experimental results demonstrate superior performance proposed model, achieving Mean Squared Error (MSE) 0.020 an R 2 score 0.411, significantly outperforming benchmark models (ARIMA, Random Forest, XGBoost, standalone LSTM). A practical enterprise case analysis further confirms model’s effectiveness improving optimizing decision-making, mitigating risks. findings highlight that learning-driven system can substantially management. By reliability operational efficiency, this approach aids businesses robust risk control sustainable growth uncertain market environments.

Language: Английский

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