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A Stream Pipeline Framework for Digital Payment Programming based on Smart Contracts
Zijia Meng, Victor Feng
https://arxiv.org/abs/2508.21075 https://arxiv…

A Stream Pipeline Framework for Digital Payment Programming based on Smart Contracts
Digital payments play a pivotal role in the burgeoning digital economy. Moving forward, the enhancement of digital payment systems necessitates programmability, going beyond just efficiency and convenience, to meet the evolving needs and complexities. Smart contract platforms like Central Bank Digital Currency (CBDC) networks and blockchains support programmable digital payments. However, the prevailing paradigm of programming payment logics involves coding smart contracts with programming lang…

Poisoning Attacks to Local Differential Privacy for Ranking Estimation
Pei Zhan (School of Cyber Science and Technology, Shandong University, State Key Laboratory of Cryptography and Digital Economy Security, Shandong University, Qingdao, China), Peng Tang (School of Cyber Science and Technology, Shandong University, State Key Laboratory of Cryptography and Digital Economy Security, Shandong University, Qingdao, China), Yangzhuo Li (School of Cyber Science and Technology, Shandong Univ…

Poisoning Attacks to Local Differential Privacy for Ranking Estimation
Local differential privacy (LDP) involves users perturbing their inputs to provide plausible deniability of their data. However, this also makes LDP vulnerable to poisoning attacks. In this paper, we first introduce novel poisoning attacks for ranking estimation. These attacks are intricate, as fake attackers do not merely adjust the frequency of target items. Instead, they leverage a limited number of fake users to precisely modify frequencies, effectively altering item rankings to maximize ga…

Ethereum Conflicts Graphed
Dvir David Biton, Roy Friedman, Yaron Hay
https://arxiv.org/abs/2507.20196 https://arxiv.org/pdf/2507.20196

Ethereum Conflicts Graphed
Ethereum, a leading blockchain platform, has revolutionized the digital economy by enabling decentralized transactions and the execution of smart contracts. Ethereum transactions form the backbone of its network, facilitating peer-to-peer exchanges and interactions with complex decentralized applications. Smart contracts extend Ethereum's capabilities by automating processes and enabling trustless execution of agreements. Hence, understanding how these smart contracts interact is important in o…

Malaysia Charts Its Digital Course: A Guide to the New Frameworks for Data Protection and AI Ethics
https://fpf.org/blog/malaysia-charts-its-digital-course-a-guide-to-the-new-frameworks-for-data-protection-and-ai-ethics/…

Trump’s nominee to run the Bureau of Labor Statistics told Fox News Digital on Monday that the agency should suspend monthly jobs reports
-- a change that could leave businesses and policymakers at least temporarily without the data they’ve used for decades to gauge the state of the labor market and broader economy.

E.J. Antoni, the chief economist at the conservative Heritage Foundation,
whom Trump nominated Monday to lead the federal statistical agency,
has repeatedl…

Trump’s pick for BLS commissioner endorses suspending monthly jobs reports
“The BLS should suspend issuing the monthly job reports,” E.J. Antoni, President Donald Trump’s pick to lead the federal statistical agency, said on Fox News Digital.

A Systematic Mapping Study on Open Source Agriculture Technology Research
Kevin Lumbard, Vinod Kumar Ahuja, Matt Cantu Snell
https://arxiv.org/abs/2507.08103

A Systematic Mapping Study on Open Source Agriculture Technology Research
Agriculture contributes trillions of dollars to the US economy each year. Digital technologies are disruptive forces in agriculture. The open source movement is beginning to emerge in agriculture technology and has dramatic implications for the future of farming and agriculture digital technologies. The convergence of open source and agriculture digital technology is observable in scientific research, but the implications of open source ideals related to agriculture technology have yet to be ex…

The Role of Digital Payments in Driving Regional Economic Growth: A Panel Data Analysis with Structural Break
Wishnu Badrawani, Citra Amanda, Novi Maryaningsih, Carla Sheila Wulandari
https://arxiv.org/abs/2508.02119

The Role of Digital Payments in Driving Regional Economic Growth: A Panel Data Analysis with Structural Break
Using a panel payment system dataset of thirty-three provinces in Indonesia, we examine the impact of digital payment on the regional economy, considering structural breaks induced by unprecedented events and policies. Digital payments were determined to significantly affect regional income and consumption before and after the identified breakpoint, with the impact greater following the break. Employing a novel method for structural break analysis within interactive effects panel data, we demon…

This https://arxiv.org/abs/2205.09337 has been replaced.
link: https://scholar.google.com/scholar?q=a

Deep Learning in Business Analytics: A Clash of Expectations and Reality
Our fast-paced digital economy shaped by global competition requires increased data-driven decision-making based on artificial intelligence (AI) and machine learning (ML). The benefits of deep learning (DL) are manifold, but it comes with limitations that have, so far, interfered with widespread industry adoption. This paper explains why DL, despite its popularity, has difficulties speeding up its adoption within business analytics. It is shown that the adoption of deep learning is not only aff…

Learning-Enabled Adaptive Power Capping Scheme for Cloud Data Centers
Yimeng Sun, Zhaohao Ding, Payman Dehghanian, Fei Teng
https://arxiv.org/abs/2508.06994 https://

Learning-Enabled Adaptive Power Capping Scheme for Cloud Data Centers
The rapid growth of the digital economy and artificial intelligence has transformed cloud data centers into essential infrastructure with substantial energy consumption and carbon emission, necessitating effective energy management. However, existing methods face challenges such as incomplete information, uncertain parameters, and dynamic environments, which hinder their real-world implementation. This paper proposes an adaptive power capping framework tailored to cloud data centers. By dynamic…

Vers un cadre ontologique pour la gestion des comp{\'e}tences : {\`a} des fins de formation, de recrutement, de m{\'e}tier, ou de recherches associ{\'e}es
Ngoc Luyen Le (Heudiasyc), Marie-H\'el\`ene Abel (Heudiasyc), Bertrand Laforge (LPNHE)
https://arxiv.org/abs/2507.05767…

Vers un cadre ontologique pour la gestion des comp{é}tences : {à} des fins de formation, de recrutement, de m{é}tier, ou de recherches associ{é}es
The rapid transformation of the labor market, driven by technological advancements and the digital economy, requires continuous competence development and constant adaptation. In this context, traditional competence management systems lack interoperability, adaptability, and semantic understanding, making it difficult to align individual competencies with labor market needs and training programs. This paper proposes an ontology-based framework for competence management, enabling a structured re…

Computational Studies in Influencer Marketing: A Systematic Literature Review
Haoyang Gui, Thales Bertaglia, Catalina Goanta, Gerasimos Spanakis
https://arxiv.org/abs/2506.14602

Computational Studies in Influencer Marketing: A Systematic Literature Review
Influencer marketing has become a crucial feature of digital marketing strategies. Despite its rapid growth and algorithmic relevance, the field of computational studies in influencer marketing remains fragmented, especially with limited systematic reviews covering the computational methodologies employed. This makes overarching scientific measurements in the influencer economy very scarce, to the detriment of interested stakeholders outside of platforms themselves, such as regulators, but also…

Towards Network Data Analytics in 5G Systems and Beyond
Marcos Lima Romero, Ricardo Suyama
https://arxiv.org/abs/2506.04860 https://a…

Towards Network Data Analytics in 5G Systems and Beyond
Data has become a critical asset in the digital economy, yet it remains underutilized by Mobile Network Operators (MNOs), unlike Over-the-Top (OTT) players that lead global market valuations. To move beyond the commoditization of connectivity and deliver greater value to customers, data analytics emerges as a strategic enabler. Using data efficiently is essential for unlocking new service opportunities, optimizing operational efficiency, and mitigating operational and business risks. Since Rele…

Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL
Irene Plaza-Ortiz, Andres Munoz-Arcentales, Joaqu\'in Salvach\'ua, Carlos Aparicio, Gabriel Huecas, Enrique Barra
https://arxiv.org/abs/2505.24742 …

Authentication and authorization in Data Spaces: A relationship-based access control approach for policy specification based on ODRL
Data has become a crucial resource in the digital economy, fostering initiatives for secure and sovereign data sharing frameworks such as Data Spaces. However, these distributed environments require fine-grained access control mechanisms that balance openness with sovereignty and security. This paper proposes an extension of the Open Digital Rights Language (ODRL) standard, the ODRL Data Spaces (ODS) profile, aimed at supporting authorization and complementing existing authentication mechanisms…

Dynamic Forgetting and Spatio-Temporal Periodic Interest Modeling for Local-Life Service Recommendation
Zhaoyu Hu, Hao Guo, Yuan Tian, Erpeng Xue, Jianyang Wang, Xianyang Qi, Hongxiang Lin, Lei Wang, Sheng Chen
https://arxiv.org/abs/2508.02451

Dynamic Forgetting and Spatio-Temporal Periodic Interest Modeling for Local-Life Service Recommendation
In the context of the booming digital economy, recommendation systems, as a key link connecting users and numerous services, face challenges in modeling user behavior sequences on local-life service platforms, including the sparsity of long sequences and strong spatio-temporal dependence. Such challenges can be addressed by drawing an analogy to the forgetting process in human memory. This is because users' responses to recommended content follow the recency effect and the cyclicality of memory…

Green Computing: The Ultimate Carbon Destroyer for a Sustainable Future
Sayed Mahbub Hasan Amiri, Prasun Goswami, Md. Mainul Islam, Mohammad Shakhawat Hossen, Marzana Mithila, Naznin Akter
https://arxiv.org/abs/2508.00153

Green Computing: The Ultimate Carbon Destroyer for a Sustainable Future
Green computing represents a critical pathway to decarbonize the digital economy while maintaining technological progress. This article examines how sustainable IT strategies including energy-efficient hardware, AI-optimized data centres, and circular e-waste systems can transform computing into a net carbon sink. Through analysis of industry best practices and emerging technologies like quantum computing and biodegradable electronics, we demonstrate achievable reductions of 40-60% in energy co…

Measuring Social Media Network Effects
Sinan Aral, Seth G Benzell, Avinash Collis, Christos Nicolaides
https://arxiv.org/abs/2507.04545 https://

Measuring Social Media Network Effects
We use representative, incentive-compatible online choice experiments involving 19,923 Facebook, Instagram, LinkedIn, and X users in the US to provide the first large-scale, empirical measurement of local network effects in the digital economy. Our analysis reveals social media platform value ranges from $78 to $101 per consumer, per month, on average, and that 20-34% of that value is explained by local network effects. We also find 1) stronger ties are more valuable on Facebook and Instagram, …