Search Results - subject:"‘Personalization’"

Product development processes for individualized products : a case study

Brem, Alexander - In: IEEE transactions on engineering management : EM ; a … 71 (2024), pp. 6190-6204

Persistent link: https://www.econbiz.de/10015412861

Innovation, Internationalization and Entrepreneurship

Korsakienė, Renata (contributor); … - 2021

Over the past years, businesses have had to tackle the issues caused by numerous forces from political, technological and societal environment. The changes in the global market and increasing uncertainty require us to focus on disruptive innovations and to investigate this phenomenon from...

Persistent link: https://www.econbiz.de/10014323786

Addressing the challenge of customer management for SMEs

Christopoulou, Alexandra; Gialelis, Panos - In: SPOUDAI - Journal of Economics and Business 71 (2021) 3/4, pp. 68-85

Customer Management Softwares have become a critical strategy in business, since it became prominent that they improve a company's probability to achieve superior business results. Yet, for a company to be able to deliver superior portfolio management solutions, Technology, Data Analysis and...

Persistent link: https://www.econbiz.de/10014477239

School to go: Neues Lernen im Social-Media-Stil

Eckle, Jannick; Jungfleisch, Anne; Stattkus, Daniel; … - In: HMD Praxis der Wirtschaftsinformatik 58 (2021) 6, pp. 1469-1482

Mit dem pandemiebedingten ersten Lockdown im März 2020 hat das digitale Lernen einen enormen Aufschwung erfahren. Mit der Initiative "School to go" wird in Zeiten bundesweiter Schulschließungen ein relevanter Beitrag zur digitalen Bildung für Schülerinnen und Schüler, Eltern, Lehrkräfte...

Persistent link: https://www.econbiz.de/10014501539

Optimal Price Targeting

Smith, Adam N.; Seiler, Stephan; Aggarwal, Ishant - 2021

We examine the proﬁtability of personalized pricing policies that are derived using diﬀerent speciﬁcations of demand in a typical retail setting with consumer-level panel data. We generate pricing policies from a variety of models, including Bayesian hierarchical choice models, regularized...

Persistent link: https://www.econbiz.de/10012799739

Liability for incorrect client personalization in the distribution of consumer insurance

Tereszkiewicz, Piotr; Południak-Gierz, Katarzyna - In: Risks 9 (2021) 5, pp. 1-15

The use of personalization mechanisms should allow the insurance distributor to reduce exploration costs and adjust the … liability should be allocated when the process of the personalization of an insurance product does not result in the client … personalizing tools in contacts with clients. We submit that offering an online personalization of insurance products ought to be …

Persistent link: https://www.econbiz.de/10013200751

Reducing Recommender Systems Biases : An Investigation of Rating Display Designs

Adomavicius, Gediminas; Bockstedt, Jesse; Curley, Shawn; … - 2021

Prior research has shown that online recommendations have a significant influence on consumers’ preference ratings and economic behavior. Specifically, biases induced by observing personalized system recommendations can lead to distortions in users’ self-reported preference ratings after...

Persistent link: https://www.econbiz.de/10014107703

Competing for Recommendations : The Strategic Impact of Personalized Product Recommendations in Online Marketplaces

Zhou, Bobby; Zou, Tianxin - 2021

Many online marketplaces (e.g., Amazon) use recommendation systems to personalize product recommendations for each customer. In practice, many recommendation systems are “profit-based,” recommending the product that maximizes the marketplaces’ expected profit from each consumer. We study...

Persistent link: https://www.econbiz.de/10013250529

Churning while Learning : Maximizing User Engagement in a Recommendation System

Hamilton, Michael; Singal, Raghav - 2021

Online media platforms such as Spotify, YouTube Music, and NetEase Cloud Music rely on long-term user engagement for revenue generation. The primary operational level under their control is content recommendation (i.e., what content to recommend to various users), where the right recommendation...

Persistent link: https://www.econbiz.de/10013220588

Consumers’ Behavioural Intentions to Reuse Recommender Systems : Assessing the Effects of Trust Propensity, Trusting Beliefs and Perceived Usefulness

Acharya, Nirmal; Sassenberg, Anne-Marie; Soar, Jeffrey - 2021

Recommender systems (RSs) are widely utilised across industries as a tool to provide users with recommendations based on their preferences. This paper reports on an examination of the influence of trusting belief on behavioural intentions to reuse RSs, emphasising the effects of trust...

Persistent link: https://www.econbiz.de/10013223027