Hamed Taherdoost - Academia.edu (original) (raw)

Papers by Hamed Taherdoost

As medical technology advances, there is an increasing need for healthcare providers all over the... more As medical technology advances, there is an increasing need for healthcare providers all over the world to securely share a growing volume of data. Blockchain is a powerful technology that allows multiple parties to securely access and share data. Given the enormous challenge that
healthcare systems face in digitizing and sharing health records, it is not unexpected that many are attempting to improve healthcare processes by utilizing blockchain technology. By systematically examining articles published from 2017 to 2022, this review addresses the existing gap by
methodically discussing the state, research trends, and challenges of blockchain in medical data exchange. The number of articles on this issue has increased, reflecting the growing importance and interest in blockchain research for medical data exchange. Recent blockchain-based medical data sharing advances include safe healthcare management systems, health data architectures, smart contract frameworks, and encryption approaches. The evaluation examines medical data encryption,
blockchain networks, and how the Internet of Things (IoT) improves hospital workflows. The findings show that blockchain can improve patient care and healthcare services by securely sharing data.

Nowadays, one of the major purposes of any company is to survive in the competitive business mark... more Nowadays, one of the major purposes of any company is to survive in the competitive business markets. This purpose would be achievable through improving and developing growth in most cases. Prior studies suggest that leadership is a vitally important factor in achieving growth in any company. Some researchers studied leadership topics as one of the significant motivations for developing and improving the growth of a company and agreed that understanding the role of leadership and its effect on the growth of the company is influential. In all countries, Information Communication Technology (ICT) companies are recognized as significant growth drivers by leaving considerable impacts on that. According to the literature, growth is a determining factor for the productivity of any company. Based on the literature of the ICTs, weak and insufficient leadership skills are considered as the main factors that cause failure in achieving the planned growth and development of ICT. Consequently, the goal of this study is to clarify how leadership affects the development of ICT enterprises.

The outbreak of COVID-19 has entirely changed how consumers behave, due to an over-reliance on on... more The outbreak of COVID-19 has entirely changed how consumers behave, due to an over-reliance on online shopping. With the global pandemic demanding people to stay home, multiple companies had to find innovative strategies to remain competitive and adapt to these
rapid changes. However, the pandemic has also propelled the development of technologies, such as artificial intelligence (AI). AI concerns the engineering of machines and programs to make them
intelligent, make decisions on their own or provide humans with information that will aid them in the decision-making process. Artificial intelligence software can be programmed according to an organization’s needs and performance goals. Although AI offers e-businesses multiple advantages, in order to differentiate themselves from their competitors, it is still a relatively new technology. A lack of understanding of its implementation will hinder organizations from reaping the full benefits
of this technology. Moreover, multiple disputes regarding AI’s ethicality and privacy concerns have led to further research focused on making these systems more reliable and ethical.

By utilizing smart contracts, which are essentially scripts that are anchored in a decentralized ... more By utilizing smart contracts, which are essentially scripts that are anchored in a decentralized manner on blockchains or other similar infrastructures, it is possible to make the execution of predetermined procedures visible to the outside world. The programmability of previously unrealized assets, such as money, and the automation of previously manual business logic are both made possible by smart contracts. This revelation inspired us to analyze smart contracts in blockchain technologies written in English between 2012 and 2022. The scope of research is limited to the journal. Reviews, conferences, book chapters, theses, monographs, and interview-based works, and also articles in the press, are eliminated. This review comprises 252 articles over the last ten years with “Blockchain”, “block-chain”, “smart contracts”, and “smart contracts” as keywords. This paper discusses smart contracts’ present status and significance in blockchain technology. The gaps and challenges in the relevant literature have also been discussed, particularly emphasizing the limitations. Based on these findings, several research problems and prospective research routes for future study that will likely be valuable to academics and professionals are identified

Due to the widespread use of the Internet of Things (IoT), organizations should concentrate their... more Due to the widespread use of the Internet of Things (IoT), organizations should concentrate their efforts on system security. Any vulnerability could lead to a system failure or cyberattack, which would have a large-scale impact. IoT security is a protection strategy and defense mechanism that protects against the possibility of cyberattacks that specifically target physically linked IoT devices. IoT security teams are currently dealing with growing difficulties, such as inventories, operations, diversity, ownership, data volume, threats, etc. This review examines research on security and IoT with a focus on the situation, applications, and issues of the present as well as the potential for the future. IoT network security has received greater attention from interdisciplinary and geographically scattered researchers in recent years. Data integrity, secrecy, authentication, and authorization should be guaranteed due to the large amount of data that flows across network devices. However, the area of IoT security still has a lot of room for growth.

Blockchain offers a cutting-edge solution for storing medical data, carrying out medical transact... more Blockchain offers a cutting-edge solution for storing medical data, carrying out medical transactions, and establishing trust for medical data integration and exchange in a decentralized open healthcare network setting. While blockchain in healthcare has garnered considerable attention, privacy and security concerns remain at the center of the debate when adopting blockchain for information exchange in healthcare. This paper presents research on the subject of blockchain’s privacy and security in healthcare from 2017 to 2022. In light of the existing literature, this critical evaluation assesses the current state of affairs, with a particular emphasis on papers that deal with practical applications and difficulties. By providing a critical evaluation, this review provides insight
into prospective future study directions and advances.

Multi-criteria decision-making (MCDM) is one of the main decision-making problems which aims to d... more Multi-criteria decision-making (MCDM) is one of the main decision-making problems which aims to determine the best alternative by considering more than one criterion in the selection process. MCDM has manifold tools and methods that can be applied in different fields from finance
to engineering design. This entry aims to provide a survey on the MCDM concept, its applications, main categories, and different methods. The final section provides manifold information and statistics on the published works in the MCDM fields. Some of the main methods are also listed in this section.

Network analysis aids management in reducing overall expenditures and maintenance work- load. Soc... more Network analysis aids management in reducing overall expenditures and maintenance work- load. Social media platforms frequently use neural networks to suggest material that corresponds with user preferences. Machine learning is one of many methods for social network analysis. Machine learning algorithms operate on a collection of observable features that are taken from user data. Machine learning and neural network-based systems represent a topic of study that spans several fields. Computers can now recognize the emotions behind particular content uploaded by users to social media networks thanks to machine learning. This study examines research on machine learning and neural
networks, with an emphasis on social analysis in the context of the current literature.

Deep learning techniques have found applications across diverse fields, enhancing the efficiency ... more Deep learning techniques have found applications across diverse fields, enhancing the efficiency and effectiveness of decision-making processes. The integration of these techniques underscores the significance of interdisciplinary research. In particular, decisions often rely on the output’s projected value or probability from neural networks, considering different values of the relevant output factor. This interdisciplinary review examines the impact of deep learning on decision-making systems, analyzing 25 relevant papers published between 2017 and 2022. The review highlights improved accuracy but emphasizes the need for addressing issues like interpretability, generalizability, and integration to build reliable decision support systems. Future research directions include transparency, explainability, and real-world validation, underscoring the importance of
interdisciplinary collaboration for successful implementation.

Decision-making is one of the steps in problem-solving that can be applied in manifold areas from... more Decision-making is one of the steps in problem-solving that can be applied in manifold areas from personal situations to the management of organizations. There are functions and processes to lead to making a decision; however, it may sound complicated to select between decision-making models and approaches as different factors and different outcomes get involved in the decision-making process. This article is a survey of decision-making with managerial insight to explain what it is, what kinds of decisions are made, and how they are applied in many sectors, including computers, management, business, psychology, etc. This paper aims to provide an overview of the decision-making concept, its functions, process steps, and its main types, models, and categories. Overall, it provides valuable insights for individuals and organizations seeking to improve their decision-making abilities.

The role of blockchain in new business model development requires greater focus because the techn... more The role of blockchain in new business model development requires greater focus because the technology is still in its infancy. Thus, there has been little research on the effects of the various blockchain networks (such as public, private, and consortium). This finding prompted a thorough investigation of new blockchain-based business models created between 2012 and 2022 to close this gap. This review’s focus is on journals, and duplicate articles have been removed. Works based on interviews, articles in press, non-English articles, reviews, conferences, book chapters, dissertations, and monographs are also not included. Seventy-five papers from the past ten years are included in this evaluation. This study examines the current state of new blockchain-based
business models. Additionally, the implications and applications in the related literature have been investigated. These findings highlight numerous open research questions and promising new directions for investigation, which will likely be helpful to academics and professionals. The business strategies built on blockchain are currently on a path with a rapid upward trajectory. Blockchain technology offers businesses numerous chances to modify and develop new company models. By
changing the conventional framework, blockchain innovation leads to the development of new methods for developing company models. The supportive potential of blockchain technologies such as NFT and P2E is increasingly being coupled with the development of new corporate projects and the modification of current business models. Since this field of study is still fairly new, researchers will have fresh opportunities to analyze its characteristics.

IoMT sensor nodes, Internet of Things (IoT) wearable medical equipment, healthcare facilities, pa... more IoMT sensor nodes, Internet of Things (IoT) wearable medical equipment, healthcare facilities, patients, and insurance firms are all increasingly being included in IoMT systems. Therefore, it is difficult to create a blockchain design for such systems, since scalability is among the most
important aspects of blockchain technology. This realization prompted us to comprehensively analyze blockchain-based IoMT solutions developed in English between 2017 and 2022. This review incorporates the theoretical underpinnings of a large body of work published in highly regarded academic journals over the past decade, to standardize evaluation methods and fully capture the rapidly developing blockchain space. This study categorizes blockchain-enabled applications across
various industries such as information management, privacy, healthcare, business, and supply chains according to a structured, systematic evaluation, and thematic content analysis of the literature
that is already identified. The gaps in the literature on the topic have also been highlighted, with a special focus on the restrictions posed by blockchain technology and the knock-on effects that such restrictions have in other fields. Based on these results, several open research questions and potential avenues for further investigation that are likely to be useful to academics and professionals alike are pinpointed.

E-commerce platforms enable companies of all sizes to sell their items and promote their brand to... more E-commerce platforms enable companies of all sizes to sell their items and promote their brand to a broader audience. The e-commerce sector is continually developing, as new technology and methods of purchasing and selling services and items are developed. The traditional e-commerce
system is plagued with problems, such as payment disputes, chargebacks, fraud, and a lack of transparency; however, blockchain can transform e-commerce by making transactions more efficient and safer. Blockchain can be used to build a decentralized network that allows people to securely store and share digital assets. This would enable buyers to access product details such as the product’s origin and source, as well as reduce the risk of fraud. Although the application of blockchain in e-commerce remains in its early stages, this review paper examines research on blockchain-based e-commerce, focusing on applicability and problems in the context of the available literature from 2017 through 2022.

Blockchain technology is a promising technology that attracts popularity among researchers. Howev... more Blockchain technology is a promising technology that attracts popularity among researchers. However, it was first introduced with digital currencies, particularly Bitcoin, but nowadays, it is also known as one of the most frequently used techniques for securing networks. This systematic review research identifies studies that use blockchain for their security challenges. In addition, different fields in blockchain usage, blockchain categorization type, consensus mechanism, smart contract usage, and integration with other software-based algorithms are also investigated. Our results maintain that the Internet of Things (IoT) is the main field in which blockchain provides security.

Blockchain technology is a prominent that gained a lot of attention from both industrial and rese... more Blockchain technology is a prominent that gained a lot of attention from both industrial and research prospectives. Blockchain system is a decentralized and transparent network, which provides a secure platform for transactions. This scoping review aimed to investigate blockchain technology from a security perspective. The motivation for this review stems from the technology's growing importance across industries and the imperative to address security challenges for sustained adoption and success. This review proposes the security analysis of blockchain with the solution for these security issues, besides the blockchain adoption in various sectors as a solution to ensure security. The findings underscore the imperative for further investigation to formulate solutions for security challenges, whether within blockchain networks themselves or when integrating them into other networks. Additionally, considering the existing research gaps in this field, potential research directions for future exploration are recommended for scholars.

Blockchain is the foundation of all cryptocurrencies, while machine learning (ML) is one of the m... more Blockchain is the foundation of all cryptocurrencies, while machine learning (ML) is one of the most popular technologies with a wide range of possibilities. Blockchain may be improved and made more effective by using ML. Even though blockchain technology uses encryption to safeguard data, it is not completely reliable. Various elements, including the particular use case, the type of data, and legal constraints can determine whether it is suitable for keeping private and sensitive data.
While there may be benefits, it is important to take into account possible hazards and abide by privacy and security laws. The blockchain itself is secure, but additional applications and layers are not. In terms of security, ML can aid in the development of blockchain applications. Therefore, a critical investigation is required to better understand the function of ML and blockchain in enhancing security. This study examines the current situation, evaluates the articles it contains, and presents an overview
of the security issues. Despite their existing limitations, the papers included from 2012 to 2022 highlighted the importance of ML’s impact on blockchain security. ML and blockchain can enhance security, but challenges remain; advances such as federated learning and zero knowledge proofs are important, and future research should focus on privacy and integration with other technologies.

Utilizing the fundamental characteristics of the decentralization, immutability, and transparency... more Utilizing the fundamental characteristics of the decentralization, immutability, and transparency of blockchain technology, the healthcare industry has made notable advancements in incorporating it over the past five years. This review examines the progress and challenges encountered
in this critical study by assessing 124 articles published by MDPI between 2018 and the current date. Examining blockchain’s potential uses, like safe data exchange and interoperability in supply chain management and electronic health records, provides exciting new directions for the future
of healthcare. Blockchain technology can greatly increase efficiency and cost-effectiveness by guaranteeing data integrity, protecting patient privacy, and reducing administrative procedures. This paper objectively evaluates blockchain’s advancement in healthcare through a thorough analysis of real-world applications and research projects. By highlighting both its advantages and disadvantages, this analysis seeks to add to the continuing conversation about how blockchain will influence the
way healthcare is managed and delivered in the future.

Blockchain technology is a trending subject of research and development. As a result of the block... more Blockchain technology is a trending subject of research and development. As a result of the blockchain proof of concept, the banking industry also accepted the technology and altered the fundamental financial concepts. In the Fintech sector, difficulties such as missed objectives, lengthy fund-raising cycles, and rising losses are typical, and they often happen as a result of not strong management. Blockchain has created inclusive, open, and secure corporate networks that enable the rapid issuance of digital security at lower unit prices and with a higher degree of customization. In recent years, blockchain technology has evolved in the financial sector, exhibiting numerous benefits. According to analysts, blockchain technology will help the banking industry become more accessible, efficient, secure, and user-friendly in the upcoming years. This article reviews how blockchain technology is employed by the financial services industry and also the applications of blockchain, as an emerging field, in Fintech to find new gateways for this field.

As part of a business strategy, effective competitive research helps businesses outperform their ... more As part of a business strategy, effective competitive research helps businesses outperform their competitors and attract loyal consumers. To perform competitive research, sentiment analysis may be used to assess interest in certain themes, uncover market conditions, and study competitors. Artificial intelligence (AI) has improved the performance of multiple areas, particularly sentiment analysis. Using AI, sentiment analysis is the process of recognizing emotions expressed in text. AI
comprehends the tone of a statement, as opposed to merely recognizing whether particular words within a group of text have a negative or positive connotation. This article reviews papers (2012–2022) that discuss how competitive market research identifies and compares major market measurements that help distinguish the services and goods of the competitors. AI-powered sentiment analysis can be used to learn what the competitors’ customers think of them across all aspects of the businesses.

The process of generating, disseminating, using, and managing an organization’s information and k... more The process of generating, disseminating, using, and managing an organization’s information and knowledge is known as knowledge management (KM). Conventional KM has undergone modifications throughout the years, but documentation has always been its foundation. However, the significant move to remote and hybrid working has highlighted the shortcomings in current procedures. These gaps will be filled by artificial intelligence (AI), which will also alter how KM is
transformed and knowledge is handled. This article analyzes studies from 2012 to 2022 that examined AI and KM, with a particular emphasis on how AI may support businesses in their attempts to successfully manage knowledge and information. This critical review examines the current approaches in light of the literature that is currently accessible on AI and KM, focusing on articles that address practical applications and the research background. Furthermore, this review provides insight into
potential future study directions and improvements by presenting a critical evaluation.