Do consumers prefer offers that are easy to compare? An experimental investigation

Abstract Consumers make mistakes when facing complex purchasing decision problems but if at least some consumers disregard any offers that is difficult to compare with others then firms will adopt common ways to present their offers and thus make choice easier. We design an original experiment to identify consumers’ choice heuristics in the lab. Subjects are asked to choose from menus of offers and we measure the extent to which they favor those offers that are easy to compare with others in the menu. A sufficient number of subjects do so with sufficient intensity for offers presented in common terms to generate higher revenues than offers that are expressed in an idiosyncratic way.Bounded Rationality; Cognitive Limitations; Standards; Consumer Choice; Experimental Economics; Heuristics; Pricing Formats; Spurious Complexity

Do consumers prefer offers that are easy to compare? An experimental investigation

Consumers make mistakes when facing complex purchasing decision problems but if at least some consumers choose only among offers that are easy to compare with others then firms will adopt common ways to present their offers and thus make choice easier (Gaudeul and Sugden, 2011). We design an original experiment to identify consumers' choice heuristics in the lab. Subjects are presented with menus of offers and do appear to favour offers that are easy to compare with others in the menu. While not all subjects do so, this is enough to deter firms from introducing spurious complexity in the way they present products.Bounded Rationality, Cognitive Limitations, Common Standards, Consumer Choice, Experimental Economics, Heuristics, Libertarian Paternalism, Pricing Formats, Spurious Complexity

Fluid-Structure Interaction Problems in Hemodynamics:Parallel Solvers, Preconditioners, and Applications

In this work we aim at the description, study and numerical investigation of the fluid-structure interaction (FSI) problem applied to hemodynamics. The FSI model considered consists of the Navier-Stokes equations on moving domains modeling blood as a viscous incompressible fluid and the elasticity equation modeling the arterial wall. The fluid equations are derived in an arbitrary Lagrangian-Eulerian (ALE) frame of reference. Several existing formulations and discretizations are discussed, providing a state of the art on the subject. The main new contributions and advancements consist of: A description of the Newton method for FSI-ALE, with details on the implementation of the shape derivatives block assembling, considerations about parallel performance, the analytic derivation of the derivative terms for different formulations (conservative or not) and for different types of boundary conditions. The implementation and analysis of a new category of preconditioners for FSI (applicable also to more general coupled problems). The framework set up is general and extensible. The proposed preconditioners allow, in particular, a separate treatment of each field, using a different preconditioning strategy in each case. An estimate for the condition number of the preconditioned system is proposed, showing how preconditioners of this type depend on the coupling, and explaining the good performance they exhibit when increasing the number of processors. The improvement of the free (distributed under LGPL licence) parallel finite elements library LifeV. Most of the methods described have been implemented within this library during the period of this PhD and all the numerical tests reported were run using this framework. The simulation of clinical cases with patient-specific data and geometry, the comparison on simulations of physiological interest between different models (rigid, FSI, 1D), discretizations and methods to solve the nonlinear system. A methodology to obtain patient-specific FSI simulations starting from the raw medical data and using a set of free software tools is described. This pipeline from imaging to simulation can help medical doctors in diagnosis and decision making, and in understanding the implication of indicators such as the wall shear stress in the pathogenesis

Helping consumers with a front-of-pack label: numbers or colours? Experimental comparison between Guideline Daily Amount and Traffic Light in a diet building exercice

This paper contributes to the debate on front-of-pack nutritional labels. Because of their dissimilar formats, Guideline Daily Amount (GDA) and Traffic Light (TL) may trigger different responses among consumers. While GDA is comprehensive and cognitively demanding, information is coarser and more salient in TL. We implement an incentivized laboratory experiment to assess the relative performance of GDA and TL labelling schemes in assisting consumers to build a healthy daily diet. Participants must compose a daily diet, choosing from a finite set of products, and are paid a fixed cash amount only if the diet satisfies pre-determined nutritional goals. Goals correspond to the guideline daily amount values for different nutritional attributes, whose number varies from 1 (kcal) to 7 (kcal, fat, sugar, salt, fibre, vitamin C and calcium). Three different labels, GDA, TL and a combined GDATL are provided. Results show that GDA performs better than TL when subjects do not face time constraints. When time is limited however, TL and GDA have identical efficacy with 4 nutritional goals, and TL even outperforms GDA with 7 nutritional goals

First insights on the potential of Sentinel-1 for landslides detection

This paper illustrates the potential of Sentinel-1 for landslide detection, Accepted 23 March 2016 mapping and characterization with the aim of updating inventory maps and monitoring landslide activity. The study area is located in Molise, one of the smallest regions of Italy, where landslide processes are frequent. The results achieved by integrating Differential Synthetic Aperture Radar Interferometry (DInSAR) deformation maps and time series, and Geographical Information System (GIS) multilayer analysis (optical, geological, geomorphological, etc.) are shown. The adopted methodology is described followed by an analysis of future perspectives. Sixty-two landslides have been detected, thus allowing the updating of pre-existing landslide inventory maps. The results of our ongoing research show that Sentinel-1 might represent a significant improvement in terms of exploitation of SAR data for landslide mapping and monitoring due to both the shorter revisit time (up to 6 days in the close future) and the wavelength used, which determine an higher coherence compared to other SAR sensors

It's never too late: funding dynamics and self pledges in reward-based crowdfunding

Crowdfunding recently emerged as an alternative funding channel for entrepreneurs. We use pledge-level data from Startnext, the biggest German platform, to gain insights on funding dynamics and pledgers' motivations. We find that the majority of projects that eventually succeed are not on a successful track at 75% of their funding period. These late successes are boosted by information cascades during the final 25% of the funding duration. We conclude – in contrast with earlier literature – that project success is only partially path-dependent. While early pledges do anticipate project success, a lack of them does not necessarily mean that projects will fail. Interviews and questionnaire responses indicate that projects' communication efforts play a role in making severely under track projects succeed eventually. Moreover, our dataset uniquely allows us to quantify the extent of self funding. Self pledges account for about 10% of all initial pledges and 9% of all pledges that secure funding. Nonetheless, the late surges at severely under track projects are mostly driven by external funders. Furthermore, we find no evidence of subsequent herding triggered by self pledges

The strain on scientific publishing

5 figures, 2 tables, 15 pages + references. Full-res figures at https://doi.org/10.6084/m9.figshare.24203790.v1Scientists are increasingly overwhelmed by the volume of articles being published. Total articles indexed in Scopus and Web of Science have grown exponentially in recent years; in 2022 the article total was 47% higher than in 2016, which has outpaced the limited growth, if any, in the number of practising scientists. Thus, publication workload per scientist (writing, reviewing, editing) has increased dramatically. We define this problem as the strain on scientific publishing. To analyse this strain, we present five data-driven metrics showing publisher growth, processing times, and citation behaviours. We draw these data from web scrapes, requests for data from publishers, and material that is freely available through publisher websites. Our findings are based on millions of papers produced by leading academic publishers. We find specific groups have disproportionately grown in their articles published per year, contributing to this strain. Some publishers enabled this growth by adopting a strategy of hostingspecial issues, which publish articles with reduced turnaround times. Given pressures on researchers to publish or perish to be competitive for funding applications, this strain was likely amplified by these offers to publish more articles. We also observed widespread year-over-year inflation of journal impact factors coinciding with this strain, which risks confusing quality signals. Such exponential growth cannot be sustained. The metrics we define here should enable this evolving conversation to reach actionable solutions to address the strain on scientific publishing

The strain on scientific publishing

Les scientifiques sont de plus en plus dépassés par le volume d’articles publiés. Ainsi les articles indexés dans Scopus et Web of Science ont connu une croissance exponentielle au cours des dernières années. En 2022, le total des articles était d’environ 47 % supérieur à celui de 2016, ce qui a dépassé la croissance limitée au nombre de scientifiques en exercice. Ainsi, la charge de travail de publication par scientifique (rédaction, examen, révision) a augmenté de façon spectaculaire