Emanuel de Bellis
Title
Prof. Dr.
Last Name
de Bellis
First name
Emanuel
Email
emanuel.debellis@unisg.ch
ORCID
Phone
+41 71 224 7712
78 results
Now showing 1 - 10 of 78
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Item type:Publication, Smart Product Breakthroughs Depend on Customer Control(MIT); ; ; ; Puntoni, StefanoType:journal articleJournal:MIT Sloan Management Review - Some of the metrics are blocked by yourconsent settings
Item type:Publication, AI assessment changes human behavior(2025-06-24); ; Anne-Kathrin KlesseThe shift from human to AI assessment raises an important question: do people behave differently when being assessed by AI? If so, this might have significant consequences for both people under assessment and the organizations conducting the assessment. Focusing on candidate selection decisions as a key assessment domain, the current research shows that AI assessment leads people to present themselves as more analytical because they believe that AI particularly values analytical characteristics. This behavioral shift could fundamentally alter who gets selected for positions, potentially undermining the validity of assessment processes. Overall, this work reveals how people change their behavior under AI assessment, offering insights for organizations and policymakers navigating the integration of AI in high-stakes decisions.Type:journal articleJournal:Proceedings of the National Academy of SciencesVolume:122Issue:25Scopus© Citations 12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How AI Assessment Tools Affect Job Candidates’ Behavior(2025-07-14); ; Klesse Anne-kathrinWhen considering AI assessment tools, most companies focus on the gains the tools bring in terms of efficiency and quality. But what they don’t factor in is how AI assessment may change candidates’ behavior during the process. A new study reveals that job candidates consistently emphasized analytical traits when they believed AI was evaluating them, while downplaying the very human qualities—empathy, creativity, intuition—that often distinguish outstanding employees from merely competent ones. This drove candidates to present a different and potentially more homogeneous version of themselves, in turn affecting who was likely to succeed in an AI-enabled hiring process, with implications for organizations using AI in hiring, promotions, or admission decisions.Type:journal articleJournal:Harvard Business ReviewIssue:07 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Verzerrte Darstellung(2025); ; Klesse Anne-kathrinType:journal articleJournal:PersonalmagazinIssue:12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The 3 Types of Customers Who Buy Smart Products—and How to Market to Them(2025-11-04); ; ; A decade after Samsung’s Family Hub Refrigerator symbolized the smart home revolution, “smartness” alone no longer sells. Although the smart home products industry is projected to hit $537 billion by 2030, roughly three-quarters of projects still fail to deliver value. Part of the problem is that many brands rely on vague claims of intelligence—“advanced algorithms,” “deep learning”—without showing how products meet customer needs. The authors’ research, published in the Journal of Consumer Research, shows that this approach can hurt sales. Surveying 1,000+ customers across 31 categories, they identified three buyer personas: comfort-seekers (46%), purpose-seekers (18%), and efficiency-seekers (36%). Defined by how customers extract value, these groups differ sharply. Comfort-seekers prize ease and fun; purpose-seekers want mission alignment and data; efficiency-seekers focus on ROI and time savings. Success depends on tailoring design and messaging to each persona’s needs.Type:journal articleJournal:Harvard Business ReviewIssue:09 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Meaning of Manual Labor Impedes Consumer Adoption of Autonomous Products(American Marketing Association, 2023-04-11); ;Johar, Gita VenkataramaniPoletti, NicolaType:journal articleJournal:Journal of MarketingVolume:87Issue:6Scopus© Citations 37 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, One-of-a-Kind Products: Leveraging Strict Uniqueness in Mass Customization(Elsevier, 2023) ;Krause, Franziska; ; ;Franke, NikolausType:journal articleJournal:International Journal of Research in Marketing - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Unveiling the Mind of the Machine(2023-11-24) ;Melanie Clegg ;Reto Hofstetter; Bernd SchmittPrevious research has shown that consumers respond differently to decisions made by humans versus algorithms. Many tasks, however, are not performed by humans anymore but entirely by algorithms. In fact, consumers increasingly encounter algorithm-controlled products, such as robotic vacuum cleaners or smart refrigerators, which are steered by different types of algorithms. Building on insights from computer science and consumer research on algorithm perception, this research investigates how consumers respond to different types of algorithms within these products. This research compares high-adaptivity algorithms, which can learn and adapt, versus low-adaptivity algorithms, which are entirely pre-programmed, and explore their impact on consumers’ product preferences. Six empirical studies show that, in general, consumers prefer products with high-adaptivity algorithms. However, this preference depends on the desired level of product outcome range—the number of solutions a product is expected to provide within a task or across tasks. The findings also demonstrate that perceived algorithm creativity and predictability drive the observed effects. This research highlights the distinctive role of algorithm types in the perception of consumer goods and reveals the consequences of unveiling the mind of the machine to consumers.Type:journal articleJournal:Journal of Consumer ResearchVolume:51Issue:2Scopus© Citations 61 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Crypto-Marketing: How Non-Fungible Tokens (NFTs) Challenge Traditional Marketing(Springer, 2022); ; ;Brandes, Leif; Lamberton, CaitType:journal articleJournal:Marketing Letters - Some of the metrics are blocked by yourconsent settings
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