E-Finance Lab e.V.
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Nowadays, firms lack information to derive the share of wallet, a vital metric that identifies how much additional spending a firm could capture from each customer. However, decoding Blockchain data enables observing all transactions of each wallet, respectively customer, on the Ethereum NFT market. To shed light on the share of wallet, we analyzed 22.7 million transactions from over 1.3 million customers across eight competing firms on the Ethereum NFT market.
Business practitioners increasingly use Artificial Intelligence (AI) applications to assist customers in making decisions due to their higher prediction quality. Yet, customers are frequently reluctant to rely on advice generated from machines, especially when their decision is at stake. Our study proposes a solution, which is to bring a human expert in the loop of machine advice. We empirically test whether customers are more accepting expert-AI collaborative advice than expert or AI advice.
How prices can be set to allocate grid computing resources in a financial service institution
(2011)
GRID COMPUTING IS AN IT CONCEPT TO SHARE COMPUTING RESOURCES AMONG DEPARTMENTS AND USERS THAT REDUCES IT COSTS AND PROVIDES COMPUTING RESOURCES DYNAMICALLY WHEN THEY ARE NEEDED. RESOURCE MARKETS ARE AN EFFECTIVE MECHANISM TO REGULATE THE RESOURCE SHARING, BUT THE MOST OFTEN USED AUCTIONS ARE COMPLEX. WE HAVE DEVELOPED A STEPWISE APPROACH TO HELP FIRMS OFFERING INTERNAL GRID COMPUTING SERVICES TO SET TRANSPARENT BUT EFFECTIVE PAY-PER-USE PRICING SCHEMES AS AN ALTERNATIVE TO AUCTIONS.
IN TWO-SIDED MARKETS SUCH AS EXCHANGES, AN INTERMEDIARY BRINGS TOGETHER TWO DISTINCT CUSTOMER POPULATIONS, E.G., BUYERS AND SELLERS. THESE CUSTOMER POPULATIONS INTERACT VIA A PLATFORM PROVIDED BY THE INTERMEDIARY, AND TYPICALLY NETWORK EFFECTS ARE OBSERVABLE IN THESE MARKETS; IF THE NUMBER OF BUYERS IS HIGH, MORE SELLERS ARE ATTRACTED TO THE PLATFORM, AND VICE VERSA. IN SUCH MARKETS IT IS DIFFICULT TO MEASURE THE ECONOMIC SUCCESS OF IT INVESTMENTS. THIS ARTICLE PROPOSES A SOLUTION.
NEW TECHNOLOGIES LIKE GRID COMPUTING WHICH CAN CONNECT RESOURCES AT DIVERSE LOCATIONS ARE MORE AND MORE ADOPTED FROM ORGANIZATIONS. SUCH TECHNOLOGIES CAN BOTH TRIGGER LINKAGES BETWEEN ORGANIZATIONS AND DIFFERENT DEPARTMENTS IN ONE SINGLE ORGANIZATION. WE DEVELOP A MODEL WHICH ACCOUNTS BOTH FOR INTER- AND INTRA-ORGANIZATIONAL INFLUENCE FACTORS ON THE ADOPTION PROCESS AND EMPIRICALLY IDENTIFIES THE MOST SIGNIFICANT INFLUENCE FACTORS.
Chatbots become human(like): the influence of gender on cooperative interactions with chatbots
(2019)
CURRENT TECHNOLOGICAL ADVANCEMENTS OF CONVERSATIONAL AGENTS (CAs) PROMISE NEW POTENTIALS FOR HUMAN-COMPUTER COLLABORATIONS. YET, BOTH PRACTITIONERS AND RESEARCHERS FACE CHALLENGES IN DESIGNING THESE INFORMATION SYSTEMS, SUCH THAT CAs NOT ONLY INCREASE IN INTELLIGENCE BUT ALSO IN EFFECTIVENESS. THROUGH OUR RESEARCH ENDEAVOUR, WE PROVIDE NEW AND COUNTERINTUITIVE INSIGHTS THAT ARE CRUCIAL FOR THE EFFECTIVE DESIGN OF COOPERATIVE CAs.
COVID-19 HAS AGAIN TIGHTENED ITS GRIP AROUND THE WORLD AND THE HEALTH SYSTEM. THIS ARTICLE GIVES AN INTRODUCTION TO EXPLAINABLE INTERACTIVE MACHINE LEARNING AND PROVIDES INSIGHTS ON HOW THIS METHOD MAY NOT ONLY HELP IN ENGINEERING MORE POWERFUL AI SYSTEMS, BUT ALSO HOW IT MAY HELP TO EASE THE BURDEN OF VIRAL STRAINS ON THE HEALTHCARE SYSTEM.
THE PROLIFERATION OF THE INTERNET HAS ENABLED PLATFORM INTERMEDIARIES TO CREATE TWO-SIDED MARKETS IN MANY INDUSTRIES. IN SUCH MARKETS, NETWORK EFFECTS OFTEN OCCUR WHICH CAN DIFFER FOR NEW AND EXISTING CUSTOMERS. THE AUTHORS DEVELOP AN INFLUX-OUTFLOW MODEL TO INVESTIGATE THE CONDITIONS UNDER WHICH THE ESTIMATION OF SAME-SIDE AND CROSS-SIDE NETWORK EFFECTS SHOULD DISTINGUISH BETWEEN ITS IMPACT ON THE NUMBER OF NEW CUSTOMERS (I.E., ACQUISITION) AND EXISTING CUSTOMERS (I.E., THEIR ACTIVITY).