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Systems, Volume 12, Issue 11

November 2024 - 65 articles

Cover Story: The various controversies surrounding machine learning (ML) have provoked a deluge of applications for ML approaches in all scientific fields. In order to preserve the role of science in regard to generating novel knowledge by means of an implicit never-ending change in perspectives and paradigms, the proliferation of very precise (but often difficult to explain) ML applications must be prioritized. This paper, after demonstrating the impossibility of a completely theory-free approach, introduces the relational system theory paradigm as an efficient tool for transforming data-driven correlation structures into physically reliable interactions happening in the analyzed system. This approach allows us to regenerate the natural fusion of data-driven and theory-driven styles of reasoning in the ML era. View this paper
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Articles (65)

  • Article
  • Open Access
17 Citations
5,867 Views
18 Pages

18 November 2024

In the context of the worldwide quest for green and sustainable development, there is a growing importance in enhancing the environmental, social, and governance (ESG) performance of manufacturing companies. With the rise of digital transformation an...

  • Article
  • Open Access
9 Citations
12,206 Views
19 Pages

18 November 2024

This study presents a comparative analysis of two advanced attention-based deep learning models—Attention-LSTM and Attention-GRU—for predicting Bitcoin price movements. The significance of this research lies in integrating moving average...

  • Article
  • Open Access
1 Citations
2,521 Views
26 Pages

18 November 2024

There is a consistent lack of consensus on critical elements in the study of construction governance. To advance the practice and theoretical development of project governance, this paper aims to construct a scale for the governance capabilities of p...

  • Article
  • Open Access
2 Citations
1,980 Views
17 Pages

18 November 2024

Crowdsourcing delivery has emerged as an innovative solution for last-mile delivery in the sharing economy era. However, enhancing courier continuance participation intention is an increasing challenge for crowdsourcing delivery platforms due to the...

  • Article
  • Open Access
12 Citations
5,788 Views
21 Pages

The Impact of Climate Policy Uncertainty on the ESG Performance of Enterprises

  • Zhi Zhang,
  • Yanhong Feng,
  • Hongwei Zhou,
  • Liming Chen and
  • Yi Liu

16 November 2024

In the context of addressing climate change, the uncertainty of climate policies has intensified the environmental and regulatory risks faced by enterprises, forcing them to adjust their strategies for fulfilling ESG responsibilities in pursuit of su...

  • Article
  • Open Access
2 Citations
2,112 Views
22 Pages

15 November 2024

In the process of product design decision-making (PDDM), decision-makers (DMs) conventionally engage in discussions to evaluate design alternatives. Achieving a consistent result is essential for selecting optimal product design schemes, as it helps...

  • Article
  • Open Access
11 Citations
6,537 Views
29 Pages

How Does the Digitalization Strategy Affect Bank Efficiency in Industry 4.0? A Bibliometric Analysis

  • Claudia Gherțescu,
  • Alina Georgiana Manta,
  • Roxana Maria Bădîrcea and
  • Liviu Florin Manta

15 November 2024

This study conducts a detailed bibliometric analysis of the concept of bank efficiency, investigating its evolution in the scientific literature between 2000 and 2024 in the context of the digital transformation specific to the Industry 4.0 era. Usin...

  • Article
  • Open Access
2 Citations
5,697 Views
28 Pages

15 November 2024

Augmented reality (AR) technology provides context-aware experiences by overlaying digital information onto the real world to enhance learning effectiveness and reduce cognitive load. This study aimed to develop an AR Mobile Learning System (ARMLS) t...

  • Article
  • Open Access
3 Citations
2,895 Views
29 Pages

14 November 2024

Group preferences are crucial for Inspirational Solutions of Automotive Design (ISAD). However, sparse individual purchase behavior hinders the identification of group preferences. Therefore, a novel inspiration recommendation (IR) system based on mu...

  • Article
  • Open Access
26 Citations
6,031 Views
21 Pages

Enhancing Cybersecurity: Hybrid Deep Learning Approaches to Smishing Attack Detection

  • Tanjim Mahmud,
  • Md. Alif Hossen Prince,
  • Md. Hasan Ali,
  • Mohammad Shahadat Hossain and
  • Karl Andersson

14 November 2024

Smishing attacks, a sophisticated form of cybersecurity threats conducted via Short Message Service (SMS), have escalated in complexity with the widespread adoption of mobile devices, making it increasingly challenging for individuals to distinguish...

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Systems - ISSN 2079-8954