7 research outputs found
A "Social Bitcoin" could sustain a democratic digital world
A multidimensional financial system could provide benefits for individuals,
companies, and states. Instead of top-down control, which is destined to
eventually fail in a hyperconnected world, a bottom-up creation of value can
unleash creative potential and drive innovations. Multiple currency dimensions
can represent different externalities and thus enable the design of incentives
and feedback mechanisms that foster the ability of complex dynamical systems to
self-organize and lead to a more resilient society and sustainable economy.
Modern information and communication technologies play a crucial role in this
process, as Web 2.0 and online social networks promote cooperation and
collaboration on unprecedented scales. Within this contribution, we discuss how
one dimension of a multidimensional currency system could represent
socio-digital capital (Social Bitcoins) that can be generated in a bottom-up
way by individuals who perform search and navigation tasks in a future version
of the digital world. The incentive to mine Social Bitcoins could sustain
digital diversity, which mitigates the risk of totalitarian control by powerful
monopolies of information and can create new business opportunities needed in
times where a large fraction of current jobs is estimated to disappear due to
computerisation.Comment: Contribution to EPJ-ST special issue on 'Can economics be a Physical
Science?', edited by S. Sinha, A. S. Chakrabarti & M. Mitr
Finance 4.0 - Towards a Socio-Ecological Finance System
This Open Access book outlines ideas for a novel, scalable and, above all, sustainable financial system. We all know that todayβs global markets are unsustainable and global governance is not effective enough. Given this situation, could one boost smart human coordination, sustainability and resilience by tweaking society at its core: the monetary system? A Computational Social Science team at ETH ZΓΌrich has indeed worked on a concept and little demonstrator for a new financial system, called βFinance 4.0β or just βFIN4β, which combines blockchain technology with the Internet of Things (βIoTβ). What if communities could reward sustainable actions by issuing their own money (βtokensβ)? Would people behave differently, when various externalities became visible and were actionable through cryptographic tokens? Could a novel, participatory, multi-dimensional financial system be created? Could it be run by the people for the people and lead to more societal resilience than todayβs financial system (which is effectively one-dimensional due to its almost frictionless exchange)? How could one manage such a system in an ethical and democratic way? This book presents some early attempts in a nascent field, but provides a fresh view on what cryptoeconomic systems could do for us, for a circular economy, and for scalable, sustainable action
ΠΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΠΎΡΠ΅Π½ΠΊΠΈ Π²Π»ΠΈΡΠ½ΠΈΡ Π΄ΠΈΡΡΡΠ·ΠΈΠΈ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½-ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ (Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π Π€)
Distributed data storage technologies are becoming an integral part of the modern economy. In this regard, today it is very relevant to a search for formalized approaches to assessing the impact of blockchain technologies on key parameters of macroeconomic generations. The subject of the research is the system of relations between economic entities of the national economy, associated with the perception of blockchain technologies that permeate economic processes. The aim of the study is to develop a methodological toolkit for scenario forecasting of possible consequences for the national economy of the introduction of blockchain technologies into the economic sector. The authors apply methods of cointegration analysis, scenario modeling, substantiation of the studied patterns by methods of regression analysis, etc. The authors use works of foreign and Russian scientists, official data of the Federal State Statistics Service of the Russian Federation as an information and statistical database. The authors systematize positive and negative externalities; propose an algorithm for studying the influence of blockchain technologies on the dynamics of GDP through the transformation of the key parameters of the functioning of the financial and real sectors of the economy; build a model and assess the possible impact on GDP of the integration of blockchain technologies into the economy. As a result, the authors make the following conclusions: to the greatest extent, the integration of blockchain technologies into the business processes of the national economy affects the change in the financial results of credit institutions, an increase in capital liquidity of economic agents, as well as the acceleration of the processes of socialization of channels of access of business entities to financial markets (expanding access of economic agents to exchanges). Scenario modeling of changes in these factors made it possible to establish that the potential for additional GDP growth in the Russian economy can reach about 1% per year as part of the integration of distributed data storage technologies into the system of economic relations. The developed and approved methods for the formalized assessment of the impact of blockchain technologies on the dynamics of economic growth create the basis for clarifying methodological approaches to the study of the problem posed, open up new opportunities for holding discussion platforms on this topic.Π’Π΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠ³ΠΎ Ρ
ΡΠ°Π½Π΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
ΡΡΠ°Π½ΠΎΠ²ΡΡΡΡ Π½Π΅ΠΎΡΡΠ΅ΠΌΠ»Π΅ΠΌΠΎΠΉ ΡΠ°ΡΡΡΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ. Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ ΠΏΠΎΠΈΡΠΊ ΡΠΎΡΠΌΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² ΠΊ ΠΎΡΠ΅Π½ΠΊΠ΅ Π²Π»ΠΈΡΠ½ΠΈΡ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½-ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° ΠΊΠ»ΡΡΠ΅Π²ΡΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΠΌΠ°ΠΊΡΠΎΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠΉ ΠΊΡΠ°ΠΉΠ½Π΅ Π°ΠΊΡΡΠ°Π»Π΅Π½. ΠΡΠ΅Π΄ΠΌΠ΅Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΡΠΈΡΡΠ΅ΠΌΠ° ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ±ΡΠ΅ΠΊΡΠΎΠ² Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ Π²ΠΎΡΠΏΡΠΈΡΡΠΈΠ΅ΠΌ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½-ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, ΠΏΡΠΎΠ½ΠΈΠΊΠ°ΡΡΠΈΡ
Π² Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ. Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ ΡΡΠ΅Π½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΡ
ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ Π΄Π»Ρ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΏΡΠΎΠ½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ Π² Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΡΡ ΡΡΠ΅Π΄Ρ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½-ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ. ΠΠ²ΡΠΎΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΊΠΎΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°, ΡΡΠ΅Π½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΡ
Π·Π°ΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΠ½ΠΎΡΡΠ΅ΠΉ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ Π΄Ρ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ
Π²ΡΡΡΡΠΏΠ°Π»ΠΈ ΡΡΡΠ΄Ρ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
ΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΡΡΠ΅Π½ΡΡ
, ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ Π€Π΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ»ΡΠΆΠ±Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Π Π€. Π‘ΠΈΡΡΠ΅ΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΈ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΠΊΡΡΠ΅ΡΠ½Π°Π»ΠΈΠΈ; ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²Π»ΠΈΡΠ½ΠΈΡ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½-ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡ ΠΠΠ ΡΠ΅ΡΠ΅Π· ΠΏΡΠΈΠ·ΠΌΡ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΊΠ»ΡΡΠ΅Π²ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ ΠΈ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΠΎΠ² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ; ΠΏΠΎΡΡΡΠΎΠ΅Π½Π° ΠΌΠΎΠ΄Π΅Π»Ρ ΠΈ Π΄Π°Π½Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π½Π° ΠΠΠ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½-ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΡ. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ Π°Π²ΡΠΎΡΡ ΠΏΡΠΈΡΠ»ΠΈ ΠΊ ΡΠ»Π΅Π΄ΡΡΡΠΈΠΌ Π²ΡΠ²ΠΎΠ΄Π°ΠΌ: Π² Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠ΅ΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΡ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½-ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π² ΡΠΈΡΡΠ΅ΠΌΡ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π²Π»ΠΈΡΠ΅Ρ Π½Π° ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΊΡΠ΅Π΄ΠΈΡΠ½ΡΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ, ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ Π»ΠΈΠΊΠ²ΠΈΠ΄Π½ΠΎΡΡΠΈ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°Π³Π΅Π½ΡΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΠΊΠΎΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΡΠΎΡΠΈΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΊΠ°Π½Π°Π»ΠΎΠ² Π΄ΠΎΡΡΡΠΏΠ° Ρ
ΠΎΠ·ΡΠΉΡΡΠ²ΡΡΡΠΈΡ
ΡΡΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΊ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΠΌ ΡΡΠ½ΠΊΠ°ΠΌ (ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΠ΅ Π΄ΠΎΡΡΡΠΏΠ° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°Π³Π΅Π½ΡΠΎΠ² ΠΊ ΡΠΎΠ½Π΄ΠΎΠ²ΡΠΌ ΡΠΎΡΠ³ΠΎΠ²ΡΠΌ ΠΏΠ»ΠΎΡΠ°Π΄ΠΊΠ°ΠΌ). Π‘ΡΠ΅Π½Π°ΡΠ½ΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΡΡΡΠ°Π½ΠΎΠ²ΠΈΡΡ, ΡΡΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΠΠΠ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΌΠΎΠΆΠ΅Ρ Π΄ΠΎΡΡΠΈΠ³Π°ΡΡ ΠΏΠΎΡΡΠ΄ΠΊΠ° 1% Π² Π³ΠΎΠ΄ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠ³ΠΎ Ρ
ΡΠ°Π½Π΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
Π² ΡΠΈΡΡΠ΅ΠΌΡ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΡΡ
ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΠ΅ ΠΈ ΠΏΠΎΠ»ΡΡΠΈΠ²ΡΠΈΠ΅ Π°ΠΏΡΠΎΠ±Π°ΡΠΈΡ ΠΌΠ΅ΡΠΎΠ΄Ρ ΡΠΎΡΠΌΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ Π²Π»ΠΈΡΠ½ΠΈΡ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½-ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΡΠΎΠ·Π΄Π°ΡΡ ΠΎΡΠ½ΠΎΠ²Ρ Π΄Π»Ρ ΡΡΠΎΡΠ½Π΅Π½ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² ΠΊ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΉ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ, ΠΎΡΠΊΡΡΠ²Π°ΡΡ Π½ΠΎΠ²ΡΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π΄ΠΈΡΠΊΡΡΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΠ»ΠΎΡΠ°Π΄ΠΎΠΊ ΠΏΠΎ Π΄Π°Π½Π½ΠΎΠΉ ΡΠ΅ΠΌΠ΅
Inferring short-term volatility indicators from Bitcoin blockchain
In this paper, we study the possibility of inferring early warning indicators
(EWIs) for periods of extreme bitcoin price volatility using features obtained
from Bitcoin daily transaction graphs. We infer the low-dimensional
representations of transaction graphs in the time period from 2012 to 2017
using Bitcoin blockchain, and demonstrate how these representations can be used
to predict extreme price volatility events. Our EWI, which is obtained with a
non-negative decomposition, contains more predictive information than those
obtained with singular value decomposition or scalar value of the total Bitcoin
transaction volume
Constructing Effective Customer Feedback Systems -- A Design Science Study Leveraging Blockchain Technology
Organizations have to adjust to changes in the ecosystem, and customer
feedback systems (CFS) provide important information to adapt products and
services to changing customer preferences. However, current systems are limited
to single-dimensional rating scales and are subject to self-selection biases.
This work contributes design principles for CFS and implements a CFS that
advances current systems by means of contextualized feedback according to
specific organizational objectives. It also uses blockchain-based incentives to
support CFS use. We apply Design Science Research (DSR) methodology and report
on a longitudinal DSR journey considering multiple stakeholder values. We
conducted expert interviews, design workshops, demonstrations, and a four-day
experiment in an organizational setup, involving 132 customers of a major Swiss
library. This validates the identified design principles and the implemented
software artifact both qualitatively and quantitatively. Based on this
evaluation, the design principles are revisited and conclusions for the
construction of successful CFS are drawn. The findings of this work advance the
knowledge on the design of CFS and provide a guideline to managers and decision
makers for designing effective CFS
ΠΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡΠ°, ΠΊΠ°ΠΊ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π½ΠΎΠ²ΡΠΉ ΠΏΠ»Π°ΡΠ΅ΠΆΠ½ΡΠΉ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½Ρ ΠΈ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ Π΅Π΅ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ Π² ΠΌΠΈΡΠΎΠ²ΡΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ
Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ β ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΡΠ½ΠΊΠ° Π²Π΅Π΄ΡΡΠΈΡ
ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ ΠΈ ΠΎΡΠ΅Π½ΠΈΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠ΅ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΠΈΡ
Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ Π² ΠΌΠΈΡΠΎΠ²ΡΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ.
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. Π Π΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΠΏΡΠΎΡΠ»Π΅ΠΆΠ΅Π½Π° ΠΈΡΡΠΎΡΠΈΡ ΠΏΡΠΎΠΈΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΠΈ ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ ΠΠΈΡΠΊΠΎΠΈΠ½Π° (Bitcoin), ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π½Π΅ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ Β«ΠΠ»ΠΎΠΊΡΠ΅ΠΉΠ½Β» (Β«BlockchainΒ»). ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΈ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΡΠΎΡΠΎΠ½Ρ ΡΠ°Π±ΠΎΡΡ Ρ ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡΠ°ΠΌΠΈ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° Π±Π»ΠΈΠΆΠ°ΠΉΡΠ°Ρ ΠΏΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΊ ΠΠΈΡΠΊΠΎΠΈΠ½Ρ ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡΠ° ΠΡΠΈΡ (Ethereum) ΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ ΠΌΠ΅ΠΆΠ΄Ρ Π½ΠΈΠΌΠΈ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ ΠΏΡΠΎΠ³Π½ΠΎΠ· ΠΎ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²Π΅ΡΠΎΡΡΠ½ΠΎΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ½ΠΊΠ° ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ Π½Π° Π±Π»ΠΈΠΆΠ°ΠΉΡΠ΅Π΅ Π±ΡΠ΄ΡΡΠ΅Π΅ ΠΈ ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈΡ
ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ Π² ΠΌΠΈΡΠΎΠ²ΡΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ.
Π’Π΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠ°ΡΡΠΎΡΡΠ΅Π΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ Π΅Π³ΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π±ΡΠ΄ΡΡ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠΉ Π½Π°ΡΡΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ β ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π½Π°ΡΡΠ½ΠΎ-ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΌΠ½Π΅Π½ΠΈΡ Π°ΠΊΠ°Π΄Π΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π½Π°ΡΠΊΠΈ ΠΊ Π½ΠΎΠ²ΠΎΠΌΡ ΡΠ΅Π½ΠΎΠΌΠ΅Π½Ρ Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ΅ β ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡΠ°ΠΌ ΠΈ ΠΈΡ
ΡΠΎΠ»ΠΈ Π² ΠΌΠΈΡΠΎΠ²ΠΎΠΉ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠ΅.
ΠΡΠΈΠ³ΠΈΠ½Π°Π»ΡΠ½ΠΎΡΡΡ/ΡΠ΅Π½Π½ΠΎΡΡΡ/Π½Π°ΡΡΠ½Π°Ρ Π½ΠΎΠ²ΠΈΠ·Π½Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. Π Π°Π±ΠΎΡΠ° ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· Π½Π΅ΠΌΠ½ΠΎΠ³ΠΈΡ
, ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π½ΡΡ
Π½ΠΎΠ²ΠΎΠΌΡ ΡΠ²Π»Π΅Π½ΠΈΡ Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ΅ β ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡΠ°ΠΌ; ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π°Π²ΡΠΎΡΡΠΊΠΈΠ΅ ΠΏΡΠΎΠ³Π½ΠΎΠ·Ρ ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΡ
Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ½ΠΊΠ° ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ.
ΠΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. ΠΠ°ΡΡΠΎΡΡΠ°Ρ ΡΠ°Π±ΠΎΡΠ° ΠΎΡΠΊΡΡΠ²Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΡΠ½ΠΊΠ° ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ, Π΅Π³ΠΎ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ Π² ΠΌΠΈΡΠΎΠ²ΡΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ.
Π’ΠΈΠΏ ΡΡΠ°ΡΡΠΈ β ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠ°Ρ