Blockchain as a distributed ledger system which provide underlying technology behind Bitcoin. Blockchain paradigm can be extended to provide a generalized framework for implementing decentralized compute resources. Some attempts has been made to visualize Blockchain transaction flow. This research aims to assess those attempts through systematic review.
Friedrich Holotiuk, Francesco Pisani, JĂŒrgen Moormann
Because of its potentially disruptive influence on business models (BMs), blockchain technology has sparked a lively debate among researchers. Our Delphi study sets out to explore the impact of blockchain in payments, which represents a major cornerstone of banking and the cradle of this technology. The results, grouped around four areas of thoughts, indicate that blockchain allows the offering of new services and renders some of the current ones obsolete. This consequently impacts the financial structure of firms in the payments industry and further generates great potential for new BMs while making some existing ones obsolete. Eventually, new players, which are better able to leverage the po-tential of blockchain, will give a strong impulse to this development. Our findings contribute to the literature by providing new insights about the impact of innova-tive technologies on BMs and have further practical implications by presenting a better understanding of future BMs in payments.
Jan 1, 2017·Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
Digital supply chain integration is becoming \ increasingly dynamic. Access to customer demand \ needs to be shared effectively, and product and service \ deliveries must be tracked to provide visibility in the \ supply chain. Business process integration is based on \ standards and reference architectures, which should \ offer end-to-end integration of product data. \ Companies operating in supply chains establish \ process and data integration through the specialized \ intermediate companies, whose role is to establish \ interoperability by mapping and integrating companyspecific \ data for various organizations and systems. \ This has typically caused high integration costs, and \ diffusion is slow. This paper investigates the \ requirements and functionalities of supply chain \ integration. Cloud integration can be expected to offer \ a cost-effective business model for interoperable \ digital supply chains. We explain how supply chain \ integration through the blockchain technology can \ achieve disruptive transformation in digital supply \ chains and networks.
<em>Blockchain</em> technology has the capacity to make digital goods immutable, transparent, externally provable, decentralized, and distributed. Besides the initial experiment or data acquisition, all remaining parts of the research cycle could take place within a <em>blockchain system</em>. Attribution, data, data postprocessing, publication, research evaluation, incentivisation, and research fund distribution would thereby become comprehensible, open (at will) and provable to the external world. Currently, scientists must be trusted to provide a true and useful representation of their research results in their final publication; <em>blockchain</em> would make much larger parts of the research cycle open to scientific self-correction. This bears the potential to be a technical solution to the current reproducibility crisis in science, and could âreduce waste and make more research results trueâ.
Enterprise systems play a central role in the business processes and management of data within an organization. However it is not uncommon for organizations to posses a multitude of autonomous systems. This thesis examines the way organizations can integrate financial data from different autonomous source systems and examines different factors that can have an impact on data integration processes. The empirical findings were gathered through a case study at Sandvik, a large Swedish industrial firm, making use of qualitative research techniques. The findings contribute to create an in-depth understanding of financial data integration processes. The empirical findings show how an organization can accomplish financial data integration without tight coupling of autonomous systems. Moreover the research contributes by describing various organization and technological factors that impact data integration. The findings indicate that a decentralized organizational structure and singular system architecture play an important role in financial data integration processes. Hereby the research helps to further explore the topic integration within enterprise system research and provides context behind the organizational and technological factors that influence financial data integration processes.
In this thesis there will be an attempt to model the market price of cryptocurrencies. Since 2010 cryptocurrencies have gone from being fairly unknown to being familiar amongst the general public which increases the need for knowledge on what affects the market price of cryptocurrencies. These connections will be found by statistical analysis and be applied on cryptocurrency data from January 2012 to January 2015. The data will be modeled by linear regression and implemented in R after the data have been formating in Excel. The results suggest that the price of cryptocurrencies depends heavily on the search traffic on the specific cryptocurrency name on Googleâs search engine.
Cryptocurrency, a form of digital currency that has an open and decentralized system and uses cryptography to enhance security and control the creation of new units, is touted to be the next step from conventional monetary transactions. Many cryptocurrencies exist today, with Bitcoin being the most prominent of them. Cryptocurrencies are generated by mining, as a fee for validating any transaction. The rate of generating hashes, which validate any transaction, has been increased by the use of specialized machines such as FPGAs and ASICs, running complex hashing algorithms like SHA-256 and Scrypt, thereby leading to faster generation of cryptocurrencies. This arms race for cheaper-yet-efficient machines has been on since the day the first cryptocurrency, Bitcoin, was introduced in 2009. However, with more people venturing into the world of virtual currency, generating hashes for this validation has become far more complex over the years, with miners having to invest huge sums of money on employing multiple high performance ASICs. Thus the value of the currency obtained for finding a hash did not justify the amount of money spent on setting up the machines, the cooling facilities to overcome the enormous amount of heat they produce and electricity required to run them. The next logical step in this is to utilize the power of cloud computing. Miners leasing super computers that generate hashes at astonishing rates that have a high probability of profits, with the same machine being leased to more than one person on a time bound basis is a win-win situation to both the miners, as well as the cloud service providers. This paper throws light on the nuances of cryptocurrency mining process, the traditional machines used for mining, their limitations, about how cloud based mining is the logical next step and the advantage that cloud platform offers over the traditional machines.
Cryptocurrency networks have given birth to a diversity of start-ups and attracted a huge influx of venture capital to invest in these start-ups for creating and capturing value within and between such networks. Synthesizing strategic management and information systems (IS) literature, this study advances a unified theoretical framework for identifying and investigating how cryptocurrency companies configure value through digital business models. This framework is then employed, via multiple case studies, to examine digital business models of companies within the bitcoin network. Findings suggest that companies within the bitcoin network exhibits six generic digital business models. These six digital business models are in turn driven by three modes of value configurations with their own distinct logic for value creation and mechanisms for value capturing. A key finding of this study is that value-chain and value-network driven business models commercialize their products and services for each value unit transfer, whereas commercialization for value-shop driven business models is realized through the subsidization of direct users by revenue generating entities. This study contributes to extant literature on value configurations and digital businesses models within the emerging and increasingly pervasive domain of cryptocurrency networks.
The purpose of this study was 1) to determine and analyze the implementation and useof information systems technology in the integrated financial information and data processingservices that result in hospital inefficiency and decrease operational performance(management control). 2) To determine and analyze the impact of Integrated InformationSystem Technology to the performance as well as improved quality of service FinanceDepartment (Mobilization Fund) 2) To identify and analyze the factors that constrain andsupport the implementation of an integrated system of information technology in improving theperformance and quality of service parts Finance (Mobilization Fund) to the customer.The results found that iplementasi integrated information system in Sanglah GeneralHospital Center which has lasted from the 2000s to the present in dasrnya has been goingaccording to the plan set out in the master plan for the development of integrated informationsystems at General Hospital Center. In the implementation of an integrated information systemis currently still searching for the best format because there are many drawbacks encounteredin the design of the integrated information system implementation. Also encountered in thisstudy that the implementation of an integrated information system, the units appears to be stillrunning their own separate themselves so visible. This means that the implementation ofintegrated information systems tend to be at the start of the aspects of technology instead ofinstitutional aspects. Other findings generated relating to the above conclusion is fruitionGeneral Hospital Center in order to decentralize information, achieving accuracy andcompleteness of information, prevention of Informat on a particular group has been realizedin the implementation of integrated information systems at General Hospital Center..Keywords: technology information systems
Kay Noyen, Dirk Volland, Dominic Wörner, Elgar Fleisch
Sensing-as-a-Service (S2aaS) is an emerging Internet of Things (IOT) business\nmodel pattern. To be technically feasible and to effectively allow for broad\nadoption, S2aaS implementations have to overcome manifold systemic hurdles,\nspecifically regarding payment and sensor identification. In an effort to\novercome these hurdles, we propose Bitcoin as protocol for S2aaS networks. To\nlay the groundwork and start the conversation about disruptive changes that\nBitcoin technology could bring to S2aaS concepts and IOT in general, we\nidentify and discuss the core characteristics that could drive those changes.\nWe present a conceptual example and describe the basic process of exchanging\ndata for cash using Bitcoin.\n
Big Data concerns massive, heterogeneous, autonomous sources with distributed and decentralized control. These characteristics make it an extreme challenge for organizations using traditional data management mechanism to store and process these huge datasets. It is required to define a new paradigm and re-evaluate current system to manage and process Big Data. In this paper, the important characteristics, issues and challenges related to Big Data management has been explored. Various open source Big Data analytics frameworks that deal with Big Data analytics workloads have been discussed. Comparative study between the given frameworks and suitability of the same has been proposed.
In this paper we describe the various scoring systems used to calculate rewards of participants in Bitcoin pooled mining, explain the problems each were designed to solve and analyze their respective advantages and disadvantages.
[ILLUSTRATION OMITTED] Introduction From the simplest to the most sophisticated human activities, the power of computing has changed the way we interact individually, socially, governmentally, culturally, and globally. Yet have these influences been for the good or have they been less than positive? This year, we celebrate the 50th anniversary of the implementation of COBOL, a.k.a. Common Business Oriented Language, one of the most well-known of computer fundamentals. COBOL arose from the profound scholarship and industry of Admiral Grace Murray Hopper. Amazing Grace, as she was known, was one of the greatest American pioneers in the history of computer science. COBOL, one of the oldest programming languages, is an acronym for Common Business-Oriented Language, which defines its primary domain in business, finance, and administrative systems for companies and governments. Obtaining her doctorate in mathematics at a time when such academic achievements were not the usual experience for American women, Admiral Hopper was eventually elevated to her Navy rank by a specific honor from the Congress of the United States because of her genius, dedication, forward thinking, and unprecedented discoveries. She was an inventor par excellence whose personal life sustained the price of dedicated scholarship. The reflections and contributions of Admiral Hopper can be found today throughout our information industry. Just as we now develop new software or design new data chips, Admiral Hopper discovered the path to wide-spread usability from debugging software to developing the software engineering disciplines necessary to carry out today's demand for information. Her belief in decentralization opened new thought-provoking collaborative models that have both leap-frogged the advancement of technologies and, ironically, added to the many challenges we face today in managing the application of such new technologies. Reflections and Impact: From Mathematician to Professor, to Programmer, to Icon The many contributions of Admiral Hopper are well discussed in Kurt Beyer's 2009 work published by the Massachusetts Institute of Technology, Grace Hopper and the Invention of the Information Age. Among these contributions is debugging, a methodical process of finding and reducing the number of bugs, or defects, in a computer program or a piece of electronic hardware, to make it behave as expected. The terms bug and debugging were popularly attributed to Admiral Hopper in the 1940s. While she was working on a Mark II Computer at Harvard University, her associates discovered a moth stuck in a relay, thereby impeding operation; thereupon she remarked that they were debugging the system. Sub-routines, as the name subprogram suggests, behave in much the same way as a computer program used as one step in a larger program or another subprogram. A subroutine is often coded so that it can be started (called) several times and/or from several places during a single execution of the program, including from other subroutines, and then branch back (return) to the next instruction after the call once its task is done. Sub-routines today can be found in many object-oriented programming development models known as classes which represent real world activities and objects. More famously, Admiral Hopper had a strong belief in decentralized management--a process of dispersing decision-making governance closer to the users of software applications. It includes the dispersal of administration or governance in sectors like engineering, management science, political science, political economy, sociology and economics. Decentralization has enormous significance beyond software usage or computer governance. It is fundamental to contemporary organizational systems development and the structures and substructures of institutional life, including universities and research institutions. âŠ
All bettors, including the ???House,??? experience losing streaks and winning streaks. The House typically has a ???bankroll??? that is orders of magnitude larger than that of any individual bettor, and so can survive losing streaks without going bankrupt, thus remaining solvent long enough to win. Online wagering provides a new twist to this age-old scenario. We use elementary mathematical principles together with the idea of a virtual infinite sample size and the elimination of time as a constraint to develop a fail-proof system that generates the greatest possible exponential growth of capital. Let ?? (stake) be the amount you wish to invest or wager each time and ?? (return) be your return or odds on a proposition. Let n (number) be the sum of consecutive loosing investments or number of times you can loose on an identical proposition before depleting a specified amount of investment capital called ?? ( bankroll). The resultant equation, which I call the: Investment Betters Algorithm (click on thesis to view) \nprovides the answer to remaining solvent long enough to outlast the irrationality of the simulated online ??? wagers open market ??? through a geometric progression. The augmented bankroll ?? , calculated slightly higher than the typical sum of the Geometric Series, can serve as a safeguard to capital ruin by it extreme disproportion to. Consider further the expected value of even money propositions, a virtual infinite sample size, and the elimination of time as a constraint and you have a no fail system to generate the greatest progressive exponential growth of capital. Current problems associated with financial return optimization algorithms are identified and discussed. Probable solutions to those problems are also prescribed along with improvements to diversified portfolio design.
As enterprises became increasingly information based, making improvements in their information activities is a top priority to assure their continuing competitiveness. A key to achieving these improvements is developing an enterprise information architecture (EIA). An EIA can be viewed as a structured set of multidimensional interrelated elements that support all information processes. The current ad hoc EIA in place within many enterprises cannot meet an organization's future needs because it has an incoherent framework, incompatibilities, missing elements, few and poorly understood standards, uneven quality and unnecessary duplications. This paper discusses the EIA developed at Lawrence Livermore National Laboratory as a case study, for other information based enterprises, particularly those with decentralized and autonomous organization structures and cultures. While the technical architecture is important the organization and processes by which it is developed and sustained over time are equally important. This paper outlines the motivation for an EIA and discusses each of the interacting elements identified. It also presents an organization structure and processes for building a sustainable EIA activity.
Continuous improvement in quality has been made possible by the use of a complete quality program which fully utilizes the knowledge and capabilities of an entire workforce. The program includes formal quality policy deployment, training, a seven-step quality improvement process, and the use of poka-yoke or mistake-proofing devices. It is concluded that employees empowered to create continuous quality improvement have demonstrated that zero defects is an obtainable goal. True empowerment is only achieved by establishing quality policy based on employee involvement, establishing valid indicators, providing training to all employees, and encouraging all employees to use the latest quality improvement and mistake proofing techniques every day.>