Integrating Blockchain Technology In Project Life Cycle For Efficient Project Management

Master's Thesis from the year 2019 in the subject Business economics - Business Management, Corporate Governance, grade: 1.0, , course: MSc Project Management, language: English, abstract: Blockchain Technology has the capability to develop as a disruptive technology in management and business domains. There is a lack of understanding also less amount of information about innovative blockchain technology and its potential future influences that hinder its academic and realistic application. Organizations it is essential to know the right influence and risk of blockchain technology adaptions also applications in order to obtain also retain economic advantages. There is no doubt such kind of revolutionary technology will have a direct effect on the conventional way of managing projects. Unless the organizations identify the shift, they will be left in the background wondering what had happened. This research study recognizes peer-reviewed journal papers also presents a systematic literature review study of the furthermost suitable blockchain technology features to be integrated into the project life cycle for efficient project management. Preliminary research shows that Blockchain technology is an immutable, distributed ledger technology that has been implemented as an enabling system to provision cryptocurrencies. Blockchain Technology is presently resolving various issues in different domains. Such as supply chain, medical health, energy, construction, finance and manufacturing but not in project management, due to its early stages. In addition, that most of the organizations use Ethereum blockchain and smart contracts towards addressing their difficulties and enhancing efficiency in their respective fields of business and management process. Research findings shows that smart contract and distributed ledger technology are the most adapted blockchain features in current business organizations, furthermore study recommends the kind of changes need to adapted by the organizations in order to handle future projects. Finally systematic literature review research findings sheds light on future directions of research studies could contain analysis of the different approaches which Ethereum and additional decentralized blockchain technologies can be used to build efficient project management framework.

This is an open access book. Management science and engineering is a systematic discipline that combines modern information technology and digital technology, and then uses some related discipline methods, such as systems science, mathematical science, economics and behavioral science, and engineering methods. After analyzing and researching some problems arising from social economy, engineering, education, finance, etc., and making corresponding countermeasures. The main purpose is to achieve control and planning, decision-making and adjustment in social, economic, education, engineering and other aspects, and then make improvements, and finally organize and coordinate. The relevant departments can be combined to achieve system management, so that the allocation of resources and the Management can be rationally optimized, so that individual functions can play the greatest role, minimize resource consumption, and maximize the optimal allocation of resources. This is also the ultimate research purpose. Liangliang Wang said:" Management is the productive force, which promotes the development of the country, society and enterprise. The relationship between management practice and management science is the relationship between theory and practice. The research on management science helps to improve the level of management, and then promote the development of the country, society and enterprises. On the other hand, management practice changes with the continuous progress of the times. It is necessary to study the current situation and trend of management science in the new era, which will help to clarify the future development direction of the discipline and discover the deficiencies in management scientific research and grasp it. The focus of management science research, thereby promoting research in management science." Therefore, it is necessary to create a space for management science practitioners, engineering practitioners, researchers and related enthusiasts to gather and discuss this current issue. The 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) aims to accommodate this need, as well as to: 1. provide a platform for experts and scholars, engineers and technicians in the field of management and software engineering to share scientific research achievements and cutting-edge technologies 2. understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote the industrialization cooperation of academic achievements 3. Promote the institutionalization and standardization of management science through modern research The conference will focus on software processing and information systems, combining research directions in the field of management. ICMSSE International Conference on Management Science and Software Engineering welcomes papers dealing with management systems research, software programming, management systems optimization, information systems management, etc. The 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) will be held in Chongqing on July 15-17, 2022. The conference sincerely invites experts, scholars, business people and other relevant personnel from domestic and foreign universities, research institutions to participate in the exchange.

This book constitutes the proceedings of the 8th International Conference on Future Data and Security Engineering, FDSE 2021, held in Ho Chi Minh City, Vietnam, in November 2021.* The 28 full papers and 8 short were carefully reviewed and selected from 168 submissions. The selected papers are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0 and smart city: data analytics and security; blockchain and access control; data analytics and healthcare systems; and short papers: security and data engineering. * The conference was held virtually due to the COVID-19 pandemic.

This book studies and discusses the current situation and development trend of technology application in the private equity industry of China. This book provides answers to the following questions that are critical concerns of the industry. For applications of technologies in enhancing financial service quality and efficiency, how to introduce digital technologies into the business innovation and operation management process of the private equity industry? How can digital technology be used to promote the comprehensive digital transformation of the private equity industry? For regulation of the private equity industry, how to utilize digital technology to improve the regulatory means and tools of the private equity industry. How to use digital technology to prevent the risk of the private equity industry? The answers to the questions have theoretical significance and practical value for healthy development and supervision of private equity industry in China. China’s private equity industry has made significant progress and attained remarkable achievements after more than 30 years of development, especially with the advancement of China’s capital market reform. This book provides an overview of the private equity industry and a study of digital technology applications such as the Internet, big data, artificial intelligence, and blockchain. It is a valuable reference for researchers and practitioners in related fields, and it also sheds light on technology applications for practitioners and financial regulators in the private equity industry in China.

This book constitutes the refereed post-conference proceedings of the 17th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2020, held in Rapperswil, Switzerland, in July 2020. The conference was held virtually due to the COVID-19 crisis. The 60 revised full papers presented together with 2 technical industrial papers were carefully reviewed and selected from 80 submissions. The papers are organized in the following topical sections: smart factory; digital twins; Internet of Things (IoT, IIoT); analytics in the order fulfillment process; ontologies for interoperability; tools to support early design phases; new product development; business models; circular economy; maturity implementation and adoption; model based systems engineering; artificial intelligence in CAx, MBE, and PLM; building information modelling; and industrial technical contributions.

Blockchain technology has the potential to utterly transform supply chains, streamline processes, and improve the whole of security. Manufacturers across the globe face challenges with forecasting demand, controlling inventory, and accelerating digital transformation to cater to the challenges of changing market dynamics and evolving customer expectations. Hence, blockchain should be seen as an investment in future-readiness and customer-centricity, not as an experimental technology. Utilizing Blockchain Technologies in Manufacturing and Logistics Management explores the strengths of blockchain adaptation in manufacturing industries and logistics management, which include product traceability, supply chain transparency, compliance monitoring, and auditability, and also examines the current open issues and future research trends of blockchain. Leveraging blockchain technology into a manufacturing enterprise can enhance its security and reduce the rates of systematic failures. Covering topics such as fraud detection, Industry 4.0, and security threats, this book is a ready premier reference for graduate and post-graduate students, academicians, researchers, industrialists, consultants, and entrepreneurs, as well as micro, small, and medium enterprises.

This book reviews research works in recent trends in blockchain, AI, and Digital Twin based IoT data analytics approaches for providing the privacy and security solutions for Fog-enabled IoT networks. Due to the large number of deployments of IoT devices, an IoT is the main source of data and a very high volume of sensing data is generated by IoT systems such as smart cities and smart grid applications. To provide a fast and efficient data analytics solution for Fog-enabled IoT systems is a fundamental research issue. For the deployment of the Fog-enabled-IoT system in different applications such as healthcare systems, smart cities and smart grid systems, security, and privacy of big IoT data and IoT networks are key issues. The current centralized IoT architecture is heavily restricted with various challenges such as single points of failure, data privacy, security, robustness, etc. This book emphasizes and facilitates a greater understanding of various security and privacy approaches using the advances in Digital Twin and Blockchain for data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.

This engaging Research Handbook presents a fresh look at how to improve project performance for the project sponsor, client and end user using a number of empirical research studies. Focusing on project performance concepts and methods, the Handbook provides a fresh look at successful project completions, achieving project objectives, on-time or ahead of time project completion or delivering within budget.