For supporting the conceptualization and the management of enterprise models in a decentralized manner, this paper introduces an approach based on model versioning and blockchain technologies. The main contribution is twofold, consisting of a., the creation of models for inter-organizational business processes in a decentralized environment, and b., means for tracking process instances using meta-data at run time. Models for business processes, workflows, and instance states are collaboratively created as part of a decentralized architecture. Based on this approach, a hierarchical versioning and modeling approach is employed in order to create and manage public and private models in a transactional fashion. For forming relationships among decentralized participants, semi-formal models linked to a blockchain are suggested. The approach is evaluated with a supply chain use case and demonstrated in an implemented modeling tool.
Pedro W. Abreu, Manuela AparĂcio, Carlos J. Costa
Blockchain technology is already being talked about as one of the megatrends for the next years. Researchers and organisations are starting to understand the potential benefits of this technology and are exploring how it can disrupt the world we live in with a diverse range of applications. But the truth is the ability to move blockchain from concept to adoption and production has been minimal yet. When it comes to auditing, blockchain solutions could have important benefits by reducing the workload of the auditors, helping in minimising fraud and optimising the existing processes but is also vital to have in mind other emerging technologies. Factom, Libra, and Verady are some examples of companies developing blockchain solutions that can be applied in the auditing environment, but much of the necessary development is still yet to be done.
Jan 1, 2018·Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
Smart City infrastructures require contracts between public and private organizations collaborating in what is frequently referred to as fog computing platforms. We investigate contract provision variations from different stakeholder perspectives. Our methodology relies on complex adaptive systems theory, and we simulate different contract provision scenarios to identify patterns that emerge. The specific contract provisions we investigate in this paper are related to analytical model and data ownership paradigm variations. We find that some variations offer advantages to stakeholders that include those who participate in the smart city fog platform and those who may have ownership of smart city fog platform infrastructure.
This dissertation consists of three essays that design and evaluate the continuous audit analytics and fraud prevention systems using three emerging technologies (i.e., the blockchain, in-memory cloud computing, and deep learning). The first essay designs a framework of Blockchain-based Transaction Processing System using the homomorphic encryption and zero-knowledge proof mechanisms. Furthermore, this study develops a prototype of the designed system to demonstrate its applications in real-time accounting, continuous monitoring, and fraud prevention. Although the simulation tests show the Blockchain-based Transaction Processing System consumes more computational overhead than the conventional database-based ERP system, the blockchain should be considered as a promising technology for future accounting and auditing practice. The second essay introduces the database architecture that manages data in main physical memory and columnar format. This essay proposes a conceptual framework for applying the in-memory columnar database system to support high-speed continuous audit analytics. Moreover, this study develops a prototype and conducts the simulation tests to evaluate the proposed framework. The test results show the high efficiency and effectiveness of the in-memory columnar database relative to the conventional ERP system regarding the computational time and the storage volume. Furthermore, the deployment of the in-memory columnar database to the cloud shows great promise of applying the in-memory columnar database for continuous audit analytics. The third essay designs a continuous fraud detection system based on modified deep learning technology. Specifically, this essay builds an accounting layer on top of the deep learning architecture to process financial data for predicting the fraudulent financial statements. A prototype is developed to evaluate the prediction accuracy of the proposed design. The test results show the deep learning-based continuous fraud detection system provides high prediction accuracy relative to the existing studies of financial statement fraud detection.
Shehu M. Sarkintudu, Huda Ibrahim, Alawiyah Abd Wahab
Blockchain platform has given information system scholars research opportunities in understanding dynamics of convergence of technology and social context. The information system research issues are complex and require taxonomies to understand the similarities and uniqueness among objects. Developing taxonomies is a complex process that needs systematic approach. This paper is a research-in-progress. We proposed taxonomy for Blockchain platform using existing method of developing taxonomies in information systems. With the unprecedented growth led to several companies to develop the varieties of Blockchain platforms. The complexity in the implementation and understanding the technical protocols leading to difficulty face by researchers and practitioners to access their full potentials. To bridge the gap, we proposed a taxonomy of Blockchains distributed ledger platforms in order to provide a mechanism for researchers and practitioners to understand the phenomenon. Final of taxonomy contains five (5) dimensions with fifteen (15) characteristics. Our analysis discovered Blockchain platforms are designed with specific goals, which prescribe its features, i.e FinTech Blockchain platforms for financial domain.
Jan 1, 2018·Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
Gilbert Fridgen, Sven Radszuwill, Nils Urbach, Lena Utz
Bringing Blockchain technology and business process management together, we follow the Design Science Research approach and design, implement, and evaluate a Blockchain prototype for cross-organizational workflow management together with a German bank. For the use case of a documentary letter of credit we describe the status quo of the process, identify areas of improvement, implement a Blockchain solution, and compare both workflows. The prototype illustrates that the process, as of today paper-based and with high manual effort, can be significantly improved. Our research reveals that a tamper-proof process history for improved auditability, automation of manual process steps and the decentralized nature of the system can be major advantages of a Blockchain solution for cross-organizational workflow management. Further, our research provides insights how Blockchain technology can be used for business process management in general.
Blockchain-based smart contracts are emerging as a disruptive force that may change the way financial statement audits are performed and delivered. With their potential ability to autonomously execute audit procedures on behalf of the auditor and disclose the results of these audit procedures, blockchain-based smart contracts have the potential to improve audit quality and meet the information demands of various vested parties for more timely and transparent audit reporting. This paper proposes the application of smart contracts to auditing as an enabler for improved audit data analytics and close to real-time audit reporting.
The cryptocurrency Artificial intelligence price emulator is a software programmed to collect cryptocurrency market data, analyze the data and predict the market price using the collected data. Computer emulators are programmed to mimic and copy behaviors or other software/hardware. The reason for emulation is to get to a particular result as quickly as possible. Machine learning is the ability of computers to read and process data while learning from the data with human interference or influence. This work focused majorly on how cryptocurrency market prices can be emulated using Artificial Intelligence with machine learning abilities. It also looked into the advantages of using the software for crypto investors. Some of which is the reduced time of research, reduction of risk, among others.
IntroductionHealth is the foundation of an engaged and happy life, and modern humans have been the fortunate beneficiaries of great advances in medical technology (Collins, 2015). With each new technology, more clues become available to decipher the problems that plague our well-being. The advent of individualized information from cheaper genome sequencing, the Internet of
Adam Watson, Regis Rukundakuvaga, Khachatur Matevosyan
Automated Case Management Systems are still at an early stage of adoption in many developing countries. These are frequently standalone systems implemented with donor financing, and they often fail due to capacity constraints or as a consequence of short-term, project-based funding. But there are examples of developing countries overcoming these pitfalls and producing innovative solutions that surpass government practices in more developed countries. The Integrated Electronic Case Management System (IECMS), developed and implemented by the Ministry of Justice of Rwanda from 2015-2016, is one such innovation. This system has progressed rapidly in its level of adoption and integration between law enforcement, the prosecutorâs office, courts, and corrections. This paper will discuss the key system functionalities and the implementation methodology, including both the benefits and shortcomings of this approach, with the goal of applying lessons learned in future installations. Foremost among the successes of this project were the integrated Sector Wide Approach, the thorough business process re-engineering, and strong ownership by the Rwandan Justice Sector staff. Particularly instructive will be the analysis of the integrated approach, covering five institutions with a single system in less than two years. However, the particular success in this case may not be replicable for governments with a more decentralized approach.
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.
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