How Data Collaboration Platforms Can Help Companies Build Better AI

There are three immediate challenges for companies that want to train fine-tuned AI models: 1) they require extensive, high-quality data — a scarce resource for many enterprises, 2) third-party AI models can include problematic biases, and 3) training fine-tuned models with users’ personal data may result in privacy violations. However, data collaboration platforms can help address these challenges. They can provide a privacy-preserving training space on high-quality, abundant data, ensuring compliance with privacy laws and unleashing the full potential of fine-tuned models. [...]

José Parra-Moyano, Karl Schmedders, Alex “Sandy” Pentland

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Use GenAI to Uncover New Insights into Your Competitors

Companies have a growing problem of information overload regarding markets and competitors, which often prevents the C-suite from making the best decisions available given the data at its disposal. While generative AI is often pitched as a way to create new content (information in, message out), it can work just as well — or depending on the application, even better — in reverse (message in, information out). And this counterintuitive application of generative AI is starting to enable leaders in marketing, strategy, and competitive intelligence to unearth strategically relevant insights about their competitors from documents made publicly available by those competitors. [...]

Thomas H. Davenport, José Parra-Moyano, Karl Schmedders, Stephan Schulte

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A Note on the Non-proportionality of Winning Probabilities in Bitcoin

The security of any proof-of-work blockchain protocol is based upon the assumption that the probability of a miner finding the next valid block is proportional to that miner’s hashing power and constant throughout the process of mining that block (i.e., that the mining process is a “memoryless” process). While the literature assumes that the mining process is indeed memoryless, in this paper we use deductive reasoning to show how, given the finiteness of hashing functions’ domains, this is not the case. [...]

José Parra-Moyano, Gregor Reich, Karl Schmedders

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Your Sentiment Matters: A Machine Learning Approach for Predicting Regime Changes in the Cryptocurrency Market.

Research suggests that a significant number of those investing in cryptocurrencies do not follow what we might call rational, profit-maximizing behavior. We also know that with the progressive lowering of entry barriers to online trading platforms, an increasing number of inexperienced investors are investing in cryptocurrencies. [...]

José Parra-Moyano, Daniel Partida, Moritz Gessl

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In NVivo Veritas: How Information Systems Increase the Flexibility and Relevance of Strategic Management Accounting

One of the key tasks for strategic management accountants is to estimate the size of the market in which their firm operates. For such an estimation to be correct, strategic management accountants need to have access to private information from the firm’s competitors. Such access is impossible since no competitor is willing to share internal documents, resulting in a problem of imperfect information. [...]

Stephan Schulte, José Parra-Moyano, Karl Schmedders

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Privacy Versioning: Accommodating the Demands of the Next Generation

There is increasing tension between the service quality improvements consumers receive when they allow their data to be analyzed by a firm, and the costs they incur in terms of privacy sacrifices. [...]

José Parra-Moyano, Sameer Mehta

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Multi-Party Certification on Blockchain and Its Impact in the Market for Lemons

We show how blockchain enables the creation of high fit signals in the market for lemons, reducing the information entropy and mitigating the negative consequences of the information asymmetry prevalent in such markets.

Ingrid Bauer, José Parra-Moyano, Karl Schmedders, Gerhard Schwabe

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What Managers Need to Know About Data Exchanges

The idea that many businesses rely heavily on data to produce or market goods and services is not new. Indeed, even in 2018, four of the six top companies in market valuation — Amazon, Alphabet, Facebook, and Alibaba — based their business models on the use of data to optimize advertising. However, data differs greatly [...]

José Parra-Moyano, Karl Schmedders, Alex "Sandy" Pentland

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KYC Optimization Using Distributed Ledger Technology

The know-your-customer (KYC) due diligence process is outdated and generates costs of up to USD 500 million per year per bank. The authors propose a new system, based on distributed ledger technology (DLT), that reduces the costs of the core KYC verification process for financial institutions and improves the customer experience. In the proposed system, the core KYC verification process is only conducted once [...]

José Parra-Moyano, Omri Ross

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Optimised and dynamic KYC system based on blockchain technology

The know-your-customer (KYC) due diligence process is outdated and generates costs of up to USD 500 million per year per bank. The authors propose a new system, based on distributed ledger technology (DLT), that reduces the costs of the core KYC verification process for financial institutions and improves the customer experience.

José Parra-Moyano, Omri Ross

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Optimised and dynamic KYC system based on blockchain technology

Electronic communications impact all of postal operators’ businesses. While letter mail volumes are decreasing due to electronic substitutes, parcels are thriving. Postal operators react in differ-ent ways to these challenges and opportunities. Some try to compensate the loss in their mail business by converging their services toward telecommunications[...]

Christian Jaag, Urs Trinkner, José Parra Moyano

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Auswirkung der 1:12 Initiative

Die Initianten der 1:12-Initiative möchten in der Bundesverfassung festlegen, dass in-nerhalb eines Unternehmens in einem Jahr niemand weniger verdienen darf als der bestbezahlte Mitarbeiter in einem Monat, oder niemand mehr als das Zwölffache des niedrigsten Jahreslohns[...]

Christian Keuschnigg Universität St. Gallen Christian Jaag, Sonia Strube Martins, José Parra Moyano, Ivo Scherrer

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Coronavirus: digital contact tracing doesn’t have to sacrifice privacy

Pressure is building on governments around the world to reduce the lockdown measures used to stop the spread of COVID-19, and to prevent the disease re-emerging once it is under control. As a result, there are many proposals to use data from people’s smartphones to track their movements and contacts with potentially infected patients, in order to trace anyone[...]

José Parra-Moyano, Professor Karl Schmedders, Michel Avital

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On the Continuity and Origin of Identity in Distributed Ledgers: Learning from Russell's Paradox

This article studies the origin and continuity of the identity of the entities inscribed in a distributed ledger. Specifically, it focuses on the differences between the identities of the entities that exist in a distributed ledger and those of the entities that exist outside the ledger but must be represented in the ledger in order to interact with it [...]

José Parra-Moyano

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Three essays on the management and economics of blockchain-based systems

This thesis compiles three papers on different topics in blockchain-based information systems. The first paper presents a blockchain-based information system to reduce the costs and improve the customer experience in the Know-Your-Customer (KYC) process that financial institutions are obliged to conduct[...]

José Parra-Moyano

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The Liberalization of Data: A Welfare-Enhancing Information System

Users’ data has become a crucial production factor for companies and a necessary asset if they are to compete in the digital ecosystem. However, users’ data is a production factor that is not mobile across companies, since a company can only use the data that its customers—its “users”— generate within its own environment and not the data that its users produce outside of it. [...]

José Parra-Moyano, Karl Schmedders

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Shared Data: Backbone of a New Knowledge Economy

That data helps to generate value is a very robust idea: We talk about data as “the new oil”, and the concept of “big data” is widely spread. While this idea applies to many areas of modern life, it is especially prominent in the financial sector, where data-based insights are crucial to make the right decisions and adequately navigate through the waves of uncertainty. [...]

José Parra-Moyano, Karl Schmedders, and Alex "Sandy" Pentland

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How to Share Data to Fight COVID-19 without Sacrificing Privacy

Users’ data has become a crucial production factor for companies and a necessary asset if they are to compete in the digital ecosystem. However, users’ data is a production factor that is not mobile across companies, since a company can only use the data that its customers—its “users”— generate within its own environment and not the data that its users produce outside of it. [...]

José Parra-Moyano, Eduardo Moyano Estrada, Michel Avital

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The network and the curve: the relevance of staying at home

Humans form networks by interacting with each other. Network science studies the impact of individual interactions on a system as a whole. The actions taken during the past weeks by governments around the world to diminish the rate at which the new COVID-19 spreads, affect the way in which we interact. [...]

José-Parra Moyano, Raquel Roses

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Blockchain y Gestión de Datos en el Sector Agroalimentario

En este artículo, el propósito de su autor es divulgar el funcionamiento de la tecnología blockchain y presentar algunas de sus posibles aplicaciones en el sector agroalimentario, ofreciendo a los agentes que trabajan en el sector un resumen sobre el funcionamiento de esta tecnología. [...]

José-Parra Moyano

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