Blockchain Papers

Wulf A. Kaal

No abstract is available for this record.

Sumant Devasthali, Gaurav Gupta

No abstract is available for this record.

C Nikhil

A digital twin is a digital or virtual copy of physical assets or products. It has the virtual and real world by collecting real-time data from the sensors which are installed in the devices. The collected data is either locally decentralized or centrally stored in cloud. Then the data is evaluated and simulated in virtual copy of the assets. After revising the information from stimulation the parameters are applied to real assets and we can predict current and future conditions in both design and operational environment. Also these are the next big thing in fourth industrial revolution for the development of new products and process. Because of vast amount of data used and the risk this poses to sensitive system data. To overcome these. The key enabling technology for digital twins data analytics and IoT must follow the updated security policies, and data sharing based on Distributed Ledger Technology can help to overcome the challenges in sharing data.

Authors unavailable

The International Conference of Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics is an annual gathering of experts, researchers, and professionals from around the world who share a passion for advancing the fields of artificial intelligence, blockchain, cloud computing, and data analytics.The conference provides a platform for knowledge exchange, networking, and collaboration in these rapidly evolving domains.Our conference is dedicated to exploring the latest research, trends, and best practices in artificial intelligence, blockchain, cloud computing, and data analytics.We seek to create an atmosphere of learning, sharing, and innovation where experts can come together to exchange ideas and collaborate on new projects.At our conference, attendees can expect to hear from a variety of thought leaders, industry professionals, and academics who are at the forefront of their fields.We offer keynote speeches, panel discussions, and technical sessions covering a wide range of topics, from machine learning and natural language processing to distributed ledgers and decentralized applications.

Y-H. Chen, Komal Sharma, Chetan Sharma, Shamneesh Sharma

Food safety hazards can be discovered and avoided using XAI and blockchain technology. The immutable and transparent ledger of blockchain technology can be used to maintain track of perishable food items, allowing for more rapid and precise detection of contamination and immediate removal from shelves. Using blockchain technology, smart agriculture can streamline the supply chain by connecting farmers directly with their customers. As a result, community members may be more confident in meeting their own dietary needs. Combining XAI, blockchain, and smart agriculture has far-reaching societal and economic implications. More efficiency, openness, and sustainability in the food chain might benefit farmers, consumers, and the world. This study provides a detailed bibliometric overview and visualization of integrating two prominent and promising technologies, explainable AI and Blockchain, into Smart Agriculture. In this study, the author implemented analysis in four phases, and for each phase, the author chose different strings, which provided different analysis results. 2479 articles are taken for “smart agriculture”, 103 articles for “Smart agriculture and blockchain”, 37 articles for “blockchain and explainable,” and finally, seven articles for “smart agriculture and explainable AI”. In this study, the mapping program VOSviewer is used for Network analysis. This study uses the co-occurrence, co-citation, and bibliographic coupling employed in VOSviewer to uncover significant focus areas and prominent authors and publications. By using a variety of publications, research was conducted on vital topics for this integration; as a consequence, influence and collaborations began to take place, ultimately leading to development.

Juanjuan Li, Fei–Yue Wang

We are in an exciting new intelligent era where various Web 3.0 systems emerge and flourish. [1]–[3]. In this new epoch, the collaboration of data and knowledge, humans and machines, actual and virtual worlds is undergoing an unprecedented diversification and community-driven transformation, unveiling an open future full of boundless possibilities. However, the value of dispersed data extends far beyond passive storage and application. Instead, it has become an incentive and driving force that connects different workers in different worlds, forming a more powerful network of knowledge. No longer monopolized by a select few organizations or companies, the community-driven data sharing and exchange enable every individual to participate and contribute [4]–[6]. The diversification, sharing and integration of data create numerous avenues for learning, exploration, and innovation.

Peihao Li

Web3 and AI have been among the most discussed fields over the recent years, with substantial hype surrounding each field's potential to transform the world as we know it. However, as the hype settles, it's evident that neither AI nor Web3 can address all challenges independently. Consequently, the intersection of AI and Web3 is gaining increased attention, emerging as a new field with the potential to address the limitations of each. In this article, we will focus on the integration of web3 and the AI marketplace, where AI services and products can be provided in a decentralized manner (DeAI). A comprehensive review is provided by summarizing the opportunities and challenges on this topic. Additionally, we offer analyses and solutions to address these challenges. We've developed a framework that lets users pay with any kind of cryptocurrency to get AI services. Additionally, they can also enjoy AI services for free on our platform by simply locking up their assets temporarily in the protocol. This unique approach is a first in the industry. Before this, offering free AI services in the web3 community wasn't possible. Our solution opens up exciting opportunities for the AI marketplace in the web3 space to grow and be widely adopted.

Courtney Chrimes, Hilde Heim

A “killer app” denotes any computer programme or software that is so essential or desirable that it demonstrates the fundamental worth of a larger technology. It is portrayed as virtually indispensable or vastly superior to competing products. Supply chain transparency (SCT) has long been ripe for disruption and in need of such a technological solution. Several applications have appeared on the market - but few have coalesced the complex tasks required for full transparency. To date, there is no “killer app” for fashion supply chain transparency. Applications that facilitate SCT including tracking and tracing mechanisms as well as data repository and distributed ledger systems like blockchain are complex and daunting for most fashion businesses. Industry powerplays and lack of trust are blocking the universal adoption of current solutions. This chapter aims to explore how SCT can be adopted by firms and facilitated at scale. We advance current knowledge of digital technology applications for SCT through the theoretical lens of organisational culture to decipher how start-ups are developing technology for adoption by fashion firms. Using a single case study methodology, we analysed one hybrid start-up (fashion and technology firm) that has developed and implemented advanced digital technology initiatives at scale. From our case analysis, we provide insights into the requirements to build a digital ecosystem - one with which most firms are not yet familiar. We discuss key implications for theory and practise, based on our findings.

Δαμιανός Π. Σακάς, Nikolaos T. Giannakopoulos, Marina C. Terzi, Νίκος Κανέλλος · 5 authors

Emerging technologies in the digital context can favor industrial sector firms in their aim to improve their performance. Digitalization is mainly expressed through the utilization of big data that originate from various sources. Blockchain technology has led to the extended adoption of capitalization of Decentralized Finance (DeFi) services, such as cryptocurrency trade platforms. Supply chain firms, in their quest to exploit any means and collaborations available to promote their services, could place advertisements on DeFi’s social media profiles to boost their financial performance. Social media analytics, as a part of the big data family, are an emerging tool for promoting a firm’s digital transformation, based on the plethora of customer behavioral data they provide. This study aims to examine whether the social media analytics of DeFi platforms are capable of affecting their website visibility, as well as the financial performance of supply chain firms. To do so, the authors collected data from the social media profiles of the most-known DeFi platforms and web analytics from the most significant supply chain firms’ websites. For this purpose, proper statistical analysis, Fuzzy Cognitive Mapping, Hybrid Modeling, and Cognitive Neuromarketing models were adopted. Throughout the present research, it has been discerned that from an increase in the social media analytics of DeFi platforms, their website visibility increases, while the organic and paid traffic costs of supply chain firms decrease. Supply chain firms’ website customers tend to increase at the same time.

Robert Susik, Robert Nowotniak, Emanuel Kulczycki

We consider the problem of researcher output identification and its verification.Nowadays, researcher outputs verification is a challenging problem faced by institutions that want, for example, employ such a researcher.Usually, there is no verification, and the aforementioned institutions rely on trust that the received documents are authentic.Our solution is a based on blockchain technology, a public ledger with smart contracts, that is the root of emerging web3.We use the public wallet address as the researcher identification number and the wallet as the store of all researcher credentials.This paper presents ERC-721 standard-based solution and addresses the conference certification case.The solution proposed in this paper addresses two challenges that arise in collecting and verifying data on research output for managing, monitoring, and evaluating purposes.We show that the public wallet address can be successfully used as the researcher identification number, and the wallet can be used as a vault of all the researcher credentials.

Sunday Adewale Olaleye, Deborah Kwafo, Abolaji Jamiu Atobatele, Olusegun Peter Olaoye

No abstract is available for this record.

Nicolette Klopper, Sophia Brink

The International Financial Reporting Standards (IFRS) do not make explicit provisions, in terms of a specifically dedicated standard, for the accounting treatment of cryptocurrencies. This creates uncertainty, and guidance is therefore required in terms of accounting for such investments. Accounting theory has the potential to provide the foundation for this guidance. This study aimed to determine the most appropriate accounting treatment for cryptocurrencies based on the International Accounting Standards Board’s (IASB) Conceptual Framework for Financial Reporting (as a form of accounting theory) that results in decision-useful information. The research further investigated the proposed accounting treatment in terms of IFRS and sought to determine whether this treatment was aligned with the IASB’s conceptual framework. This qualitative study conducted a non-empirical interpretative analysis of the literature (focusing specifically on accounting theory) to address the research aim. The conceptual framework indicated that the most appropriate way to account for cryptocurrencies was to recognise an asset at fair value. This accounting treatment aligns with accounting for assets under International Accounting Standard (IAS) 2 commodities held by broker-traders and the IAS 38 revaluation model. Addressing the problem of accounting for cryptocurrencies with reference to accounting theory makes this study novel. The guidance provided could reduce uncertainty among entities holding investments in cryptocurrencies and could increase the decision-usefulness of financial information.

Low Jin Poo, Xu Xiao Qi

Block chain technique is developed from a distributed, dependable application development platform to an irreversible record of crypto currency transaction history. Block chain technology's emergence has sparked a number of possible changes in how corporate operations are managed across numerous industries. However, to the best of research experience, no prior effort has concentrated on integrating block chain to establish a secure and unchangeable data and evidence attribution maintenance architecture that autonomously checks the origination records. Therefore, the research work proficiently introduces the novel Block Chain based Contribute Sequence Tracking (BCCST) system with amalgamation of Trail based Smart Indenture (TSI) and Release Attribution Model (RAM). The study begins by outlining a practical application of the proposed TSI for the disintermediation of commercial activities utilising a notional, shared information ledger. This ledger not only makes monitoring data exchange easier, but it also encourages supply chain participants to cooperate together on a multilateral network. The novel RAM to create immutable data trails that make it easier to gather, maintain, and verify reliable data provenance.

Pouyan Jahanbin, Stephen C. Wingreen, Ravi Sharma, Behrang Ijadi · 5 authors

The application of blockchain beyond cryptocurrencies has received increasing attention from industry and scholars alike. Given predicted looming food crises, some of the most impactful deployments of blockchains are likely to concern food supply chains. This study outlined how blockchain adoption can result in positive affordances in the food supply chain. Using Q methodology, this study explored the current status of the agri-food supply chain and how blockchain technology could be useful in addressing existing challenges. This theorization leads to the proposition of the 3TIC value-driver framework for determining the enabling affordances of blockchain that would increase shared value for stakeholders. First, we propose a framework based on the most promising features of blockchain technology to overcome current challenges in the agri-food industry. Our value-driver framework is driven by the Q-study findings of respondents closely associated with the agri-food supply chain. This framework can provide supply chain stakeholders with a clear perception of blockchain affordances and serve as a guideline for utilizing appropriate features of technology that match organizations’ capabilities, core competencies, goals, and limitations. Therefore, it could assist top-level decision-makers in systematically evaluating parts of the organization to focus on and improve the infrastructure for successful blockchain implementation along the agri-food supply chain. We conclude by noting certain significant challenges that must be carefully addressed to successfully adopt blockchain technology.

Riccardo Bonazzi, Heidi Gautschi, Gianluigi Viscusi

Since its first appearance as the infrastructure supporting Bitcoin, blockchain has received different waves of attention from practitioners and academics. Besides the degree of interest, the attention to blockchain has often focused not merely on its own potential and characteristics but on its applications field. However, looking at its application and deployment in domains other than cryptocurrency or the nascent non-fungible tokens (NFTs), blockchain technology does not seem to be widely adopted or is still in its early stages. Given this, we are interested in how managers and the general public are informed about new technology other than through academic papers or the specialized press. In this paper, we analyze how blockchain has been presented by speakers invited to give TED and TEDx Talks to identify the most common terms used to present blockchain in these talks using a multi-methods approach (qualitative analysis and big data analysis) and see if the discourse surrounding blockchain has shifted over time. The results of this study show how the different perspectives brought by broadcasters like TED often overshadow a technological innovation like the blockchain in its evolution and application by the fact that the focus is instead shifted to products and services built on it. Also, this study shows how different degrees of attention and expertise are associated with each fashion wave of new or emergent technology innovations.

Δαμιανός Π. Σακάς, Nikolaos T. Giannakopoulos, Markos Margaritis, Νίκος Κανέλλος

Due to the volatility of the markets and the ongoing crises (COVID-19, the Ukrainian war, etc.), investors are keen to exploit any potential chances to make profits. For this reason, the idea of harvesting data from cryptocurrency market users takes an innovative step. Potential investors in supply chain firms in the fertilizer industry need to know whether the observation of data originating from the cryptocurrency market is capable of explaining their stock price variation. The authors identify the innovative utilization of cryptocurrency markets’ user analytical data to model and predict the stock price of supply chain firms in the fertilizer industry stock price. The main aim of this research is to evaluate the contribution of cryptocurrency market big data as a predicting factor for the stock price of fertilizer market firms. Such a finding improves the knowledge and decision-making of potential investors in the fertilizer market. Moreover, this study seeks to highlight the benefits of utilizing cryptocurrency market big data for other financial purposes, apart from stock price prediction. The analytical data was derived from cryptocurrency websites and applications and was then processed through statistical analysis (correlation and linear regressions), Fuzzy Cognitive Maps (FCM), and Hybrid Modeling (HM) modeling. The hybrid model’s simulation showed that analytical data from the cryptocurrency markets tend to explain and predict the stock price of supply chain firms in the fertilizer industry. Such data refer to Bitcoin’s website organic keywords and traffic costs, as well as paid traffic costs from cryptocurrency trade websites/apps. A rise in Bitcoin and cryptocurrency trade websites’ organic and paid traffic costs tend to increase supply chain firms in the fertilizer industry’s stock prices, while Bitcoin’s website organic keywords variation decreases accordingly.

Ioannis Kourouklides, Novak I. Zukowski, Kleitos Alexandrou

This whitepaper presents the vision, mission, and overarching role of the GUT-AI Foundation. The Foundation aims to promote the research, development and eventually the deployment of user-friendly, human-centred and developer-friendly Artificial Intelligence (AI) systems for the betterment of humanity through an Ecosystem of Concepts and Implementations (ECI). The Foundation recognizes the potential of AI to revolutionize numerous industries, ranging from Healthcare and Education to Financial Services and Self-Driving Cars. However, the development of such AI systems poses significant challenges and impediments, such as multiple single points of failure, lack of interoperability, and lack of user adoption. Therefore, this whitepaper proposes a multidimensional approach to promote a whole ecosystem that has the ability to overcome such challenges. Primarily, the Foundation will encourage research into AI systems that are accessible, intuitive, and ready-to-use. The research will focus on proposing AI system architectures that meet the needs of the users, while they address their pain points in order to enhance both the User Experience (UX) and Developer Experience (DX). Furthermore, the Foundation will focus on promoting the adoption of best practices and Optional Open Standards for AI development and deployment that is automated, cost-effective, and scalable. For instance, these best practices will include the use of modular architectures, microservices, and containerization. By adopting these practices, the Foundation aims to enable interoperability and reuse of AI components. In addition, the Foundation envisions creating a marketplace, which will enable buyers to discover and adopt AI Solutions that meet their needs and preferences. The marketplace will also provide sellers with opportunities to showcase their AI Solutions, reach out to potential buyers and receive feedback from them. Finally, the Foundation will leverage emerging technologies such as Blockchain and Decentralized Autonomous Organizations (DAOs) to enhance the transparency, security, and trustworthiness of AI systems, while incentivizing innovation and collaboration among humans.

Jasmin Praful Bharadiya

Artificial Intelligence (AI) has emerged as a key driver of innovation in the digital era, offering new possibilities for the development of Web 3.0. Web 3.0 represents the next evolution of the internet, characterized by decentralized systems, peer-to-peer networks, and advanced technologies such as blockchain and smart contracts. In this paper, we provide an overview of the role of AI in the development of Web 3.0, its opportunities, and challenges. AI can be used to process and analyze large amounts of data more effectively, enabling more intelligent decision-making and insights. We review the key concepts and technologies of Web 3.0, including the Semantic Web, and ontologies, and highlight the potential of AI to transform various industries, including healthcare, finance, and education. We also analyze the challenges of AI in Web 3.0, including data privacy, bias, trust, and ethics, and discuss the potential implications of AI in Web 3.0 for society as a whole. Finally, we outline the future directions and implications of AI in Web 3.0, and recommend areas for future research. Our paper contributes to a better understanding of the potential impact of AI on the development of the web and its implications for society as a whole.

Marco Picone, Stefano Mariani, Antonio Virdis, Paolo Castagnetti

The Metaverse has been recently envisioned as the next technological revolution with the idea of building fully immersive virtual worlds where users can interact with each other and with mixed-reality environments and objects. The relationship between the digital and the physical worlds represents a challenging opportunity to foster the idea that virtual experiences and interactions can complement and enhance reality enabling the definition of new use cases and services. In this context, Metaverse’s technologies need to rely on a connected, trustworthy, and highly detailed digital representation of users and objects to build an effective virtual world based on trusted and fresh information from the physical world. The need to decouple responsibilities through a multi-layered vision allows Metaverse’s applications to focus only on their business goal by relying on a cyber-physical layer enabling bi-directional communication with users and devices, accessing trusted information, invoking available actions, and retrieving immutable historical data. In this paper, we analyze and propose the combination of Digital Twins and Blockchain technologies as strategic pillars for bridging the gap between the virtual and the physical worlds and supporting the creation of the Metaverse.

Sami Barrit, Alexandre Niset

Occupational stress among health workers is a pervasive issue that affects individual well-being, patient care quality, and healthcare systems' sustainability. Current time-tracking solutions are mostly employer-driven, neglecting the unique requirements of health workers. In turn, we propose an open and decentralized worker-centered solution that leverages machine intelligence for occupational health and safety monitoring. Its robust technological stack, including blockchain technology and machine learning, ensures compliance with legal frameworks for data protection and working time regulations, while a decentralized autonomous organization bolsters distributed governance. To tackle implementation challenges, we employ a scalable, interoperable, and modular architecture while engaging diverse stakeholders through open beta testing and pilot programs. By bridging an unaddressed technological gap in healthcare, this approach offers a unique opportunity to incentivize user adoption and align stakeholders' interests. We aim to empower health workers to take control of their time, valorize their work, and safeguard their health while enhancing the care of their patients.

Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo · 6 authors

The Smart Contract Weakness Classification Registry (SWC Registry) is a widely recognized list of smart contract weaknesses specific to the Ethereum platform. Despite the SWC Registry not being updated with new entries since 2020, the sustained development of smart contract analysis tools for detecting SWC-listed weaknesses highlights their ongoing significance in the field. However, evaluating these tools has proven challenging due to the absence of a large, unbiased, real-world dataset. To address this problem, we aim to build a large-scale SWC weakness dataset from real-world DApp projects. We recruited 22 participants and spent 44 person-months analyzing 1,199 open-source audit reports from 29 security teams. In total, we identified 9,154 weaknesses and developed two distinct datasets, i.e., DAPPSCAN-SOURCE and DAPPSCAN-BYTECODE. The DAPPSCAN-SOURCE dataset comprises 39,904 Solidity files, featuring 1,618 SWC weaknesses sourced from 682 real-world DApp projects. However, the Solidity files in this dataset may not be directly compilable for further analysis. To facilitate automated analysis, we developed a tool capable of automatically identifying dependency relationships within DApp projects and completing missing public libraries. Using this tool, we created DAPPSCAN-BYTECODE dataset, which consists of 6,665 compiled smart contract with 888 SWC weaknesses. Based on DAPPSCAN-BYTECODE, we conducted an empirical study to evaluate the performance of state-of-the-art smart contract weakness detection tools. The evaluation results revealed sub-par performance for these tools in terms of both effectiveness and success detection rate, indicating that future development should prioritize real-world datasets over simplistic toy contracts.

Δαμιανός Π. Σακάς, Nikolaos T. Giannakopoulos, Dimitrios Κ. Nasiopoulos, Νίκος Κανέλλος · 5 authors

Recent developments in blockchain technology have enabled the development of wallet applications for storing peoples’ cryptocurrency reserves. Cryptocurrency wallet applications could deploy affiliate marketing processes to increase the visibility of their products. From these affiliate marketing processes, supply chain firms in the air forwarding sector that seek to advertise their services to a larger audience could be benefited. This research examines whether affiliate marketing initials of cryptocurrency wallet applications affect their digital marketing efficiency, as well as whether air forwarding firms’ website visibility could be benefited from them. After collecting the required Web Analytic data, the authors performed statistical analysis (correlations and linear regressions), followed by Fuzzy Cognitive Mapping (FCM) macroanalysis and Hybrid Modeling (HM) microanalysis to assess the outcomes of cryptocurrency wallet applications’ affiliate marketing programs. Hence, from the deployed methodology, valuable insights arose. The first part of the produced outcomes concerns the effect of cryptocurrency wallet application affiliate marketing metrics on their digital marketing results. The increased implications of affiliate marketing metrics (referring domains, backlinks, etc.) decrease the number of pages their visitors see. Regarding the air forwarder firms’ website visibility, specific metrics (branded and referral traffic) were increased and others (social traffic) were decreased from the increment of cryptocurrency wallet application affiliate marketing metrics (backlinks, internal links, etc.). Supply chain firms, in the air forwarding sector, could have increased website visibility by deploying advertisements and affiliate marketing initiatives with cryptocurrency wallet organizations. Summing up, specific affiliate marketing metrics of cryptocurrency wallet applications are capable of significantly impacting their digital marketing performance and also constitute determinant factors of supply chain firms’ website visibility.

Alex Norta, Indrek Ibrus, Alan R. Milligan

Abstract The audiovisual media content (AMC) industry, focused on film and television drama production, is confronted with a broken business model due to the dominance of centralized streaming platforms. The top platforms dominate global distribution but only offer slices of produced and heritage content. In addition, they compete with the AMC industry by producing a majority of content distributed. This leaves fewer gatekeepers deciding on the content to be distributed and less diverse content easily accessible to audiences Consequently, audiences are compelled to engage in pirating movies despite a willingness to pay. Recent blockchain innovations towards the so-called Web3 promise to restore this broken business model by re-establishing direct contact between the producers of films and their audiences. The benefits of networks (peer-to-peer or community based) in combination with Web3 follow the principle of decentralized disintermediation while comprising elements such as FIAT to crypto-payment mechanisms, self-sovereign identity authentication, blockchain oracles, decentralized autonomous organizations (DAO), and so on. A gap exists with regard to methodological designs of Web3 decentralized applications (DApp) and their ecosystems for restoring a viable AMC business model that not only eliminates the need for piracy activities but even the need for platforms. The DApp architecture designs for the film- and media industry ecosystem creation in this paper allow, on the one hand, for a legal compliance check ahead of a costly deployment. On the other hand, the DApp designs of this paper also allow for a tailored blockchain technology stack development. Ultimately, this research is a continuation of an earlier whitepaper to establish a participatory economy in the film industry from peer-to-peer streaming.

Safa Hoş

Karar bilimi karar verme işini kolaylaştırmak ve geliştirmek için eldeki sınırlı bilgiyi kullanarak pek çok teknikten faydalanır. Bu nedenle ekonomi, istatistik, üretim yönetimi ve kontrolü ve psikoloji gibi bilim dallarını da içeren disiplinler arası bir alandır. Sürekli olarak karşı karşıya kalınan karar verme durumu neticesinde verilen kararlar ve sonrasında atılan adımlar ise geleceği şekillendirmektedir. Bu nedenle karar biliminin günümüzdeki yeri oldukça önemlidir. Bu çalışmada 2012-2021 yılları içerisinde karar bilimi alanında üretilen bilimsel çıktıların değerlendirilmesi amaçlanmaktadır. Bu amaçla Scopus/SciVal veri tabanı üzerinden ulaşılan 508.220 bilimsel çıktı incelenmiş, yıllara göre bilimsel çıktı sayısı, atıf sayısı, görüntülenme sayısı bilgileri paylaşılmıştır. Dünya genelinde üretilen bilimsel çıktıları kapsayan bu çalışmada karar bilimi alanında en fazla bilimsel çıktının 2021 yılında (95.109) üretildiği ve en fazla bilimsel çıktıya sahip ülkenin Çin (106.752) olduğu sonucuna ulaşılmıştır. Ayrıca en fazla bilimsel çıktıya sahip enstitü/üniversitenin CNRS (10.411) ve en fazla bilimsel çıktıya yer veren derginin “IFIP Advances in Information and Communication Technology” (10.084) olduğu belirlenmiştir. Bilimsel çıktı sayısı dikkate alındığında yapılan çalışmalarda daha çok kurumsal işbirliklerinin tercih edildiği (201.933) ve karar bilimi alanı içerisinde en fazla çalışılan konuların “Bitcoin; Ethereum; Nesnelerin İnterneti” (16473) olduğu sonucuna ulaşılmıştır. Genel olarak yapılan bu çalışma karar bilimi alanında çalışan araştırmacılar için bilgilendirme, değerlendirme ve yönlendirme özelliklerini taşımaktadır.