Search Results - subject_exact:"Database marketing"

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Consumer responses to firm-owned devices in self-service technologies : insights from a data privacy perspective

Sohn, Stefanie; Schnittka, Oliver; Seegebarth, Barbara - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015057198

Frontiers: digital hermits

Miklós-Thal, Jeanine; Goldfarb, Avi; Haviv, Avery; … - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014636275

A high-performance turnkey system for customer lifetime value prediction in retail brands

Yan, Yan; Resnick, Nicholas - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015127375

Personalization scale in airlines : combining the power of rich customer data, experiential learning, and revenue management

Guerrini, Alberto; Ferri, Gabriele; Rocchi, Stefano; … - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014276700

Using deep learning to overcome privacy and scalability issues in customer data transfer

Anand, Piyush; Lee, Clarence - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014317069

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Using Deep Learning to Overcome Privacy and Scalability Issues in Customer Data Transfer

Anand, Piyush; Lee, Clarence - 2022

Book / Working Paper

The value of consumer data in the digital economy

2026 - 1st edition

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015589846

Voluntary disclosure and personalized pricing

Ali, S. Nageeb; Lewis, Gregory; Vasserman, Shoshana - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014319950

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Voluntary disclosure and personalized pricing

Ali, S. Nageeb; Lewis, Gregory; Vasserman, Shoshana - 2019

Book / Working Paper

Voluntary Disclosure and Personalized Pricing

Ali, S. Nageeb; Lewis, Gregory; Vasserman, Shoshana - 2021

Book / Working Paper

Voluntary Disclosure and Personalized Pricing

Ali, S. Nageeb - 2019

Book / Working Paper

Digital Hermits

Miklós-Thal, Jeanine; Goldfarb, Avi; Haviv, Avery M.; … - 2023

When a user shares multi-dimensional data about themselves with a firm, the firm learns about the correlations of different dimensions of user data. We incorporate this type of learning into a model of a data market in which a firm acquires data from users with privacy concerns. User data is...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014226117

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Digital Hermits

Miklós-Thal, Jeanine; Goldfarb, Avi; Haviv, Avery; … - 2023

Book / Working Paper

Does (customer data) size matter? : generating valuable customer insights with less customer relationship risk

Plangger, Kirk; Marder, Ben; Montecchi, Matteo; Watson, … - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014338467

Machine Learning Modelle zur Vorhersage von Zahlungsausfällen im Energiemarkt

Stecker, Rouven; Lehrbass, Frank - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014428149

It's a match! : linking foreign counterparts in Italian customs data to their balance sheets

Crispino, Marta; Conteduca, Francesco Paolo - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014441424

Big data analytics democratized with clean collaboration and customer privacy choice

Pauwels, Koen; Aksehirli, Zeynep - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015159457

The impact of customer privacy concerns on service robot adoption intentions : a credence/experience service typology perspective

Yao, Qi; Hu, Chao; Zhou, Wenkai - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015076487

L' Open Banking nel sistema dei pagamenti : evoluzione infrastrutturale, innovazione e sicurezza, prassi di vigilanza e sorveglianza

Pellitteri, Roberto; Parrini, Ravenio; Cafarotti, Carlo; … - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014226875

Softening competition through unilateral sharing of customer data

Choe, Chongwoo; Cong, Jiajia; Wang, Chengsi - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014470040

Leveraging customer data in digital markets - contributions to decision support for customers and businesses

Züllig, Kilian - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015447697

Wettbewerbsrechtliche Grenzen des Datenaustauschs und Datenzugangs : unter Berücksichtigung des Digital Markets Acts und Data Acts

Gutmann, Frederik - 2025 - 1. Auflage

Angesichts ihrer nicht-rivalen und multifunktionalen Nutzbarkeit folgt der Austausch nutzergenerierter Daten einer Eigenlogik und hat erhebliche Auswirkungen auf Innovation und Wettbewerb. Auf dieser Grundlage untersucht die vorliegende Arbeit die wettbewerbsrechtlichen Grenzen des freiwilligen...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015553084

Big data : the new gold mine for supermarkets

Taghipour, Atour - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015211492

Data and e-commerce : an economic relationship

Klimek, Libor; Funta, Rastislav - 2021

In almost all sectors, online services play a much larger role than a few years ago. Data-driven platform models combine an ever greater degree of market power. The associated concentration effect leads to the displacement of medium-sized companies from the market. When looking at the large...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012517287

Good Data and Bad Data : The Welfare Effects of Price Discrimination

Farboodi, Maryam; Haghpanah, Nima; Shourideh, Ali - 2025

We study how a monopolist's use of consumer data for price discrimination affects welfare. To answer this question, we develop a model of market segmentation subject to residual uncertainty. We fully characterize when data usage monotonically increases or decreases welfare or when the effect is...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015553562

Big Data und Preisdiskriminierung

Konrad, Vera; Polk, Andreas - 2020

Unternehmen nutzen Daten zur Optimierung von Preisen. Mit zunehmender Kenntnis individueller Kundenprofile könnte der Spielraum steigen, Individuen gezielt über personalisierte Angebote anzusprechen. Die wettbewerblichen Effekte sind ambivalent: Personalisierte Preise können zur Ausbeutung im...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012314426

Market and user research operations : operationalize customer research for scale and impact

Marsh, Stephanie - 2025

"Research Operations is a reasonably new field but one that offers businesses huge opportunities to produce more high-quality customer insights by reducing the administrative toll on research departments, freeing up resource to deliver more value.With customers demanding more personalization of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015403755

Customer Data Privacy, Competition and Firm Performance

Avramidis, Panagiotis; Serfes, Konstantinos; Vlachos, … - 2022

Customer data offers monetization opportunities but also entails potential risks for many businesses because of customer privacy concerns. Despite the increasing importance of these trade offs, there is limited research of their impact on businesses. To address this gap, we develop a theoretical...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013291825

Artificial intelligence ecosystems for marketing communications

Malthouse, Edward; Copulsky, Jonathan R. - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014233933

Open banking and customer data sharing : implications for FinTech borrowers

Nam, Rachel J. - 2022 - First draft: Sept 23, 2022

With open banking, consumers take greater control over their own financial data and share it at their discretion. Using a rich set of loan application data from the largest German FinTech lender in consumer credit, this paper studies what characterizes borrowers who share data and assesses its...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013459919

Artificial intelligence and user-generated data are transforming how firms come to understand customer needs

Hauserp, John R.; Lip, Zelin; Mao, Chengfeng - 2023

We provide an overview of how artificial intelligence is transforming the identification, structuring, and prioritization of customer needs – known as the voice of the customer (VOC). First, we summarize how the VOC helps firms gain insights on using user-generated data. Second, we discuss the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014307065

Australia’s Forgotten Privacy Principle : Why Common ‘Enrichment’ of Customer Data for Profiling and Targeting is Unlawful

Kemp, Katharine - 2022

Many companies are not satisfied with collecting only the personal information that customers provide during a transaction or sign-up, or even the additional personal information they collect about the customer’s activities on the company’s own website or app. Instead, there is a common...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014076797

Deep learning in marketing : a review and research agenda

Liu, Xiao - 2023

The expansion of marketing data is encouraging the growing use of deep learning (DL) in marketing. I summarize the intuition behind deep learning and explain the mechanisms of six popular algorithms: three discriminative (convolutional neural network (CNN), recurrent neural network (RNN), and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014307159

Examining consumer food waste through grocery retailers' customer data : segments and practical implications

Närvänen, Elina; Mesiranta, Nina; Saarijärvi, Hannu; … - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014325939

Digitaler Schatten der Kundeninteraktionen produzierender Unternehmen

Schacht, Maximilian - 2022 - 1. Auflage

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014286037

Managing change related to consumer privacy laws : targeting and personal data use in a more regulated environment

Mueller, Sophia; Taylor, Charles Raymond; Mueller, Barbara - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013167382

Data-driven personalization : how to use consumer insights to generate customer loyalty

Hou, Zontee - 2024

"To break through the noise, marketers today need to be hyper-relevant to their customers. To do that takes data and a deep understanding of your audience. Data-Driven Personalization breaks down the best ways to reach new customers and better engage your best customers. By combining principles...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015055319

The economics of privacy

2024

"The falling costs of collecting, storing, and processing data have allowed firms and governments to improve products and services. These same changes have also yielded databases containing detailed, individual-level data, raising privacy concerns. The Economics of Privacy summarizes the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014456342

What makes consumers willing to share their data in addressable TV advertising? : the influence of personal and situational factors on consumer willingness to disclose information

De Schaepdrijver, Leen; Baecke, Philippe; Tackx, Koen - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013325486

Effects of personal innovativeness and perceived value of disclosure on privacy concerns in proximity marketing : self-control as a moderator

Lin, Marta Yuan-Chen; Do, Ben-Roy; Nguyen, Tessa Tien; … - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013277433

Managing Informational Uncertainty in Customer Data Breaches : Empirical Insights into Understanding and Addressing Customer Needs in Healthcare Security Incidents

Diesterhöft, Till Ole - 2024 - 1st ed.

Intro -- Acknowledgements -- Abstract -- Table of Contents -- List of Figures -- List of Tables -- List of Abbreviations -- A. Foundations -- I. Introduction -- I.1 Motivation -- I.2 Research Gaps and Research Questions -- I.3 Dissertation Structure -- I.4 Research Positioning -- I.5 Anticipated...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015373706

The economics of social data

Bergemann, Dirk; Bonatti, Alessandro; Gan, Tan - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013280034

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The economics of social data

Bergemann, Dirk; Bonatti, Alessandro; Gan, Tan - 2020

Book / Working Paper

The economics of social data

Bergemann, Dirk; Bonatti, Alessandro; Gan, Tan - 2019

Book / Working Paper

The Economics of Social Data

Bergemann, Dirk - 2020

Book / Working Paper

The Economics of Social Data

Bergemann, Dirk - 2020

Book / Working Paper

Digital Marketing Technologies

Aghazadeh, Hashem; Khoshnevis, Mozhde - 2024

Part I: Digital Marketing Overview -- Chapter 1: Digital Marketing Fundamentals -- Chapter 2: Digital Marketing Analysis and Strategy -- Chapter 3: Digital Marketing Implementation and Practice -- Part II: Applications of Marketing Technologies (Martechs) -- Chapter 4: Marketing Technologies...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014519029

Das Management von Kundendaten in Verbundgruppen Forschungsaufbau und finale Ergebnisse

Schupp, Robin Philip - 2021

Die Verteilung von Daten und Informationen nimmt innerhalb der Verbundgruppen eine tragende Rolle ein und ist daher bereits seit Jahren ein wichtiger Gegenstand der empirischen Kooperationsforschung. Durch eine branchenübergreifend zu beobachtende, stetig wachsende Absatzmarktorientierung...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013167565

Big data and digital markets contestability : theory of harm and data access remedies

Krämer, Jan; Schnurr, Daniel - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013348965

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Big Data and Digital Markets Contestability : Theory of Harm and Data Access Remedies

Krämer, Jan; Schnurr, Daniel - 2021

Book / Working Paper

Fine-tuning the ex ante approach to regulating data combination practices

Yan, Xingyu; He, Huaiwen - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013541984

Telecommunications networks and public health responses during the COVID-19 pandemic : evidence from a large national network operator in Canada

Rowsell, Joe; Hertanto, Anthony; Mathur, Anand - 2021

The COVID-19 pandemic has demonstrated the fundamental importance of telecommunications networks. This paper utilizes data from a large North American network operator to examine the role of telecom networks in enabling public health and economic responses to the pandemic. During the pandemic,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012805997

Monetizing privacy

Garratt, Rod; Lee, Michael Junho - 2021

In a market where consumers choose between payment options and firms compete with products and prices, we show that payment data drives the formation of a market monopoly. A data-sharing policy can successfully restore and maintain a competitive market, but often at the expense of both...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012423840

Information accuracy and collusion

Colombo, Stefano; Pignataro, Aldo - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013463306

A Growth Model of the Data Economy

Farboodi, Maryam; Veldkamp, Laura - 2021

The rise of information technology and big data analytics has given rise to "the new economy." But are its economics new? This article constructs a growth model where firms accumulate data, instead of capital. We incorporate three key features of data: 1) Data is a by-product of economic...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012482643

Behavior-based price discrimination with nonuniform distribution of consumer preferences

Esteves, Rosa-Branca; Liu, Qihong; Shuai, Jie - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013185713

Neue Kanäle - neue Daten : die veränderte Rolle von Kundendaten im Handel

Braun, Simone; Follwarczny, Dan; Heißler, Andreas - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013172464

Household Financial Transaction Data

Baker, Scott; Küng, Lorenz - 2021

The growth of the availability and use of detailed household financial transaction microdata has dramatically expanded the ability of researchers to understand both household decision-making as well as aggregate fluctuations across a wide range of fields. This class of transaction data is...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012599317

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Household Financial Transaction Data

Baker, Scott; Küng, Lorenz - 2022

Book / Working Paper

Personalization from customer data aggregation using list price

Xu, Zibin; Dukes, Anthony - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012878197

Buying Data from Consumers : The Impact of Monitoring Programs in U.S. Auto Insurance

Jin, Yizhou; Vasserman, Shoshana - 2021

New technologies have enabled firms to elicit granular behavioral data from consumers in exchange for lower prices and better experiences. This data can mitigate asymmetric information and moral hazard, but it may also increase firms' market power if kept proprietary. We study a voluntary...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012599386