Search Results - subject_exact:"Personalization"

The value of personalized recommendations : evidence from Netflix

Zielnicki, Kevin; Aridor, Guy; Bibaut, Aurelien; Tran, … - 2025

Personalized recommendation systems shape much of user choice online, yet their targeted nature makes separating out the value of recommendation and the underlying goods challenging. We build a discrete choice model that embeds recommendation-induced utility, low-rank heterogeneity, and flexible...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015548887

Personalization and privacy choice

Rhodes, Andrew; Zhou, Jidong - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014515014

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Personalization and privacy choice

Rhodes, Andrew; Zhou, Jidong - 2024

Book / Working Paper

Personalization and privacy choice

Rhodes, Andrew; Zhou, Jidong - 2024

Book / Working Paper

Vertrauen als Engpass und Hebel: Warum Financial Wellbeing in Deutschland ohne Trust nicht skaliert und was die Akzeptanzforschung zu digitaler, persönlichkeitsbasierter Finanzberatung daraus ableitet

Dulgeridis, Marcel; Kahl, Axel - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015614578

Effects of product online reviews on product returns : a review and classification of the literature

Wang, Yun; Yu, Bo; Chen, Jing - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015459120

Vertrauen als Engpass und Hebel : warum Financial Wellbeing in Deutschland ohne Trust nicht skaliert und was die Akzeptanzforschung zu digitaler, persönlichkeitsbasierter Finanzberatung daraus ableitet

Dulgeridis, Marcel; Kahl, Axel - 2026

Financial wellbeing refers to managing money confidently, achieving personal goals, and buffering financial risks. Representative evidence for Germany indicates substantial strain: 52% experience financial worries at least weekly, 27% report lacking an overview of their finances, and the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015612384

Selling on recommender platforms : demand boost versus customer migration

Karle, Heiko; Preuß, Marcel; Reisinger, Markus - 2026

Platforms that provide product recommendations to consumers, such as marketplaces like Amazon or online travel agencies like Expedia, govern a substantial part of transactions in many markets. In addition to selling via platforms, most firms, however, also operate a direct channel. This paper...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015596654

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Selling on recommender platforms : demand boost versus customer migration

Karle, Heiko; Preuß, Marcel; Reisinger, Markus - 2026

Book / Working Paper

Dynamic recommendation bias

Drugov, Mikhail; Jeon, Doh-Shin - 2026 - This version: April 29, 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015637970

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Dynamic recommendation bias

Drugov, Mikhail; Jeon, Doh-Shin - 2026

Book / Working Paper

AI in personalized financial decision-making

Nahidi, Narmin - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015651191

A dual-drive recommendation model for smart healthcare platforms : synergizing proactive search and AI-driven decision-making

Gao, Lingyu; Xiaoli, Wang - 2026

The emergence of smart healthcare platforms has significantly enhanced the accessibility of medical services, yet it has also introduced critical challenges such as information overload and patient decision-making dilemmas. This study investigates the interaction and synergistic optimization of...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015653627

Choice architecture in occupational choices

Dell, Madison; Brox, Enzo; Palffy, Patricia; Schilter, … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015666902

Platform-controlled search and distortions in attention allocation

Cai, Xiaoming; Gautier, Pieter; Wolthoff, Ronald - 2026

We study a monopoly platform that sets meeting rates between buyers and two seller types: niche sellers, whose higher-quality good appeals to only some buyers, and mass-market sellers, whose good appeals to all. Sellers compete by posting prices à la Burdett and Judd (1983), so buyer surplus...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015665343

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Platform-controlled search and distortions in attention allocation

Cai, Xiaoming; Gautier, Pieter; Wolthoff, Ronald - 2026

Book / Working Paper

Platform-controlled search and distortions in attention allocation

Cai, Xiaoming; Gautier, Pieter; Wolthoff, Ronald - 2026

Book / Working Paper

Platform-controlled search and distortions in attention allocation

Cai, Xiaoming; Gautier, Pieter; Wolthoff, Ronald - 2026

Book / Working Paper

A job i like or a job i can get : designing job recommender systems using field experiments

Bied, Guillaume; Caillou, Philippe; Crépon, Bruno; … - 2026

Recommendation systems (RSs) are increasingly used to guide job seekers on online platforms, yet the algorithms currently deployed are typically optimized for predictive objectives such as clicks, applications, or hires, rather than job seekers' welfare. We develop a job-search model with an...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015665784

How much should a conversational recommender system converse?

Kumar, Akshit; Manshadi, Vahideh; Tumu, Akhilesh - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015668668

Improving the effectiveness of personalized recommendations through attributional cues

Weidig, Jakob; Kühnl, Christina - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014432501

The Value of Personalized Recommendations: Evidence from Netflix

Zielnicki, Kevin; Aridor, Guy; Bibaut, Aurelien; Tran, Allen - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015562736

Personalised passenger information systems in public transport : a review and a 5-level personalisation taxonomy

Ardenne, Michelle T. van; Cebecauer, Matej; Cats, Oded; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015547224

Personalization, trust, and identity in AI-based marketing : an empirical study of consumer acceptance in Greece

Markou, Vasiliki; Serdaris, Panagiotis; Antoniadis, Ioannis - 2025

Artificial intelligence (AI) is increasingly used in marketing to deliver personalized messages and services. Although such tools create new opportunities, their acceptance by consumers depends on several factors that go beyond technology itself. This study examines how trust and ethical...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015548881

A personalized content-based method to predict customers' preferences in an online apparel retailer

KabirMamdouh, Alireza; Kök, A. Gürhan - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015372705

Rating with the senses : how sensory encounters are reflected on online review ratings?

Hallikainen, Heli; Halinen, Marianna; Tervonen, Hannes; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015372971

Social dynamics of luxury customization : the unique impact of name personalization

O'Rourke, Anne-Maree; Lin, Joanna; Sung, Billy; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015373135

Collaborative filtering recommender systems : methods, strengths and weaknesses

Schmidtke, Marcel; Neeb, Jannik; Wöhner, Thomas - 2025

Recommender systems are indispensable in e-business due to the extensive product range and the large number of niche articles. Collaborative filtering (CF) algorithms play a central role in generating personalised recommendations. There are numerous CF approaches in the literature that have...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015374761

Efficiency versus fairness in link recommendation algorithms

Grabisch, Michel; Mandel, Antoine; Rusinowska, Agnieszka - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015210771

The impact of different recommendation algorithms on consumer search behavior and merchants competition

Zhang, Weiyi; Wang, Yong - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015331921

The dark side of social media : recommender algorithms and mental health

Mandile, Simona - 2025

This paper investigates the impact of social media algorithms on mental health outcomes. I exploit a quasi-experimental setting combining data from the Dutch Longitudinal Internet Studies for the Social Sciences (LISS) coupled with the introduction of the algorithmic feed on Instagram in 2016. I...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015191592

Personalized content, engagement, and monetization in a mobile puzzle game

Pape, Louis-Daniel; Helmers, Christian; Iaria, Alessandro; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015181873

Recommending for a multi-sided marketplace : a multi-objective hierarchical approach

Wang, Yuyan; Tao, Long; Zhang, Xian Xing - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015197173

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Recommending for a multi-sided marketplace : a multi-objective hierarchical approach

Wang, Yuyan; Tao, Long; Zhang, Xian Xing - 2023

Book / Working Paper

Assessing the interplay of trust dynamics, personalization, ethical AI practices, and tourist behavior in the adoption of AI-driven smart tourism technologies

Koo, Inhyouk; Zaman, Umer; Ha, Hojung; Nawaz, Shahid - 2025

Purpose This research aims to explore the intricate dynamics influencing the adoption of AI-driven smart tourism technologies within the specific context of the United Arab Emirates. It seeks to address the following key questions: How do ethical AI practices and personalization impact tourist...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015358548

In-store technology personalization : a typology and research agenda based on type of automation and data collection

Merfeld, Katrin; Klein, Jan F.; Regt, Anouk de; Baltin, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015419928

Natural language processing algorithms to improve digital marketing data quality and its ethical implications

Pons, Sergi; Huertas-Garcia, Ruben; Lengler, Jorge; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015464098

Clustering Dutch citizens into behavioural phenotypes to understand green energy investment preferences

Nikoloski, M.; Botzen, W. J. Wouter; Banerjee, S.; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015471279

Personalized recommendation, behavior-based pricing, or both? : examining privacy concerns from a cost perspective

Zhou, Chi; Bai, Danyang; Li, Tieshan; Yu, Jing - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015407212

Algorithmic personalization and brand loyalty : an experiential perspective

Obiegbu, Chinedu James; Larsen, Gretchen - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015431688

Dance to my tune! : Discovery mode and built-in recommendation bias

Gambato, Jacopo; Sandrini, Luca - 2025

We examine the strategic considerations and effects of product placement services in digital content aggregators, focusing in particular on Spotify’s “Discovery Mode”. Discovery Mode introduces bias in users’ consumption bundle that content providers pay through discounted royalties, and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015438179

Modeling sustainable city trips : integrating CO₂ e emissions, popularity, and seasonality into tourism recommender systems

Banerjee, Ashmi; Mahmudov, Tunar; Adler, Emil; Aisyah, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015439402

Adaptive pathways : understanding consumer adaptive behavior toward hyper-personalized fashion retailing in emerging markets

Mehmood, Khalid; Rehman, Mohsin Abdur; Abbass, Ansar; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015457528

Is high-touch enough? : personalization-supporting technology in hotel service : a data-driven approach

Hiezl, Kitti; Gyurácz-Németh, Petra - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015458645

Usage complementarity vs. basket co-occurrence : discount depth reliance in digitally personalized product recommendations

Choi, Jungsil; Park, Hyun Young - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015427542

AI-driven personalisation and customer engagement in social commerce : evidence from Kosovo

Emini, Adelina; Budić, Hrvoje; Klopotan, Igor - 2025

Background: The study aims to examine the role of artificial intelligence-oriented personalisation in customer interaction of social commerce platforms in the developing market, such as Kosovo. Objectives: A quantitative design was used, and 312 active users were sampled, with surveys offered to...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015561571

The invisible algorithm: the impact of search and recommender systems on the digital creative industries

Schlott, Fabian; Gänßle, Sophia - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015564129

Regulating recommender systems? : effects of data-based individualization (and its limits) on competition in the digital world

Budzinski, Oliver; Stöhr, Annika - 2025

Algorithm- and data-based recommendation systems (DARS) have become a central component of the digital economy, shaping how users access, evaluate, and consume information and goods. These systems encompass both search rankings tailored to estimated user preferences and direct recommendations...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015564160

The price of advice : experimental evidence on the effects of AI recommenders

Zac, Amit; Gal, Michal S. - 2025

The integration of large language models (LLMs) into recommender systems (RS) has given rise to a new generation of Conversational RS (CRS). This study asks how CRS systems shape consumer behavior, and, in particular, their spending. Despite the rapid proliferation of such systems, including...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015568010

A deep learning framework for optimizing personalized online course recommendation and selection

Mrhar, Khaoula; Abik, Mounia - 2025

Massive Open Online Courses (MOOCs) and the broad adoption of distance learning over the past few years have caused a remarkable shift in the educational landscape. However, the vast majority of available MOOCs often challenge learners in selecting courses that align with their academic goals,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015506761

Precommitment and personalized product recommendations : an incentivized study in online grocery shopping

Jansen, Laura Z. H.; Van Loo, Ellen J.; Kleef, Ellen van; … - 2025

Food-related sustainability and health issues have led to calls for improving consumer food choices. As food purchase decisions predominantly occur in supermarkets and increasingly in online supermarkets, online interventions to stimulate healthy and sustainable grocery choices have gained...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015610103

The moderating role of personalized recommendations in the trust-satisfaction-loyalty relationship : an empirical study of AI-driven e-commerce

Hassan, Noha; Abdelraouf, Mohamed; El-Shihy, Dina - 2025

Purpose This study investigates the effects of trust, satisfaction, and loyalty on AI‑driven e‑commerce, with a particular focus on how personalized recommendations moderate these relationships. It aims to explore how personalized AI features reshape consumer perceptions and decision-making....

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015614155

The impact of Netflix's AI powered recommendation system on consumers' behavioral intentions

Etlioglu, Mehmet - 2025

Current studies primarily focus on the recommender systems (RSs) through the algorithmic accuracy, and which insufficient to fully measure accurately the practical effectiveness of the RSs and understand user experience. There is an urge examine the dynamic interactions on the critical user...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015593913