Toward a Sustainable Marketplace: Expanding Options and Benefits for Consumers

While popular interest in sustainable consumption continues to grow, there is a persistent gap between consumers’ typically positive explicit attitudes towards sustainability and their actual consumption behaviours. This gap can be explained, in part, by the belief that choosing to consume sustainably is both constraining and reduces individual-level benefits. While the belief that sustainable consumption depends on making trade-offs is true in some contexts, increasingly consumers are finding that more sustainable forms of consumption can provide both an expanded set of options and additional, individual-level benefits. In this essay, we discuss and illustrate an expanded set of options and benefits across the consumption cycle: from acquisition to usage and disposition. An underlying theme is the separation of material ownership from the extraction of consumer benefits across the consumption cycle. We believe that this ongoing evolution of products - and even business models - has the potential to simultaneously increase value to consumers as well as speed progress towards a more sustainable marketplace

Alignment of the ALICE Inner Tracking System with cosmic-ray tracks

37 pages, 15 figures, revised version, accepted by JINSTALICE (A Large Ion Collider Experiment) is the LHC (Large Hadron Collider) experiment devoted to investigating the strongly interacting matter created in nucleus-nucleus collisions at the LHC energies. The ALICE ITS, Inner Tracking System, consists of six cylindrical layers of silicon detectors with three different technologies; in the outward direction: two layers of pixel detectors, two layers each of drift, and strip detectors. The number of parameters to be determined in the spatial alignment of the 2198 sensor modules of the ITS is about 13,000. The target alignment precision is well below 10 micron in some cases (pixels). The sources of alignment information include survey measurements, and the reconstructed tracks from cosmic rays and from proton-proton collisions. The main track-based alignment method uses the Millepede global approach. An iterative local method was developed and used as well. We present the results obtained for the ITS alignment using about 10^5 charged tracks from cosmic rays that have been collected during summer 2008, with the ALICE solenoidal magnet switched off.Peer reviewe

Transverse momentum spectra of charged particles in proton-proton collisions at s=900\sqrt{s} = 900 GeV with ALICE at the LHC

The inclusive charged particle transverse momentum distribution is measured in proton-proton collisions at $\sqrt{s} = 900$ GeV at the LHC using the ALICE detector. The measurement is performed in the central pseudorapidity region $(|\eta|<0.8)$ over the transverse momentum range $0.15<p_{\rm T}<10$ GeV/$c$. The correlation between transverse momentum and particle multiplicity is also studied. Results are presented for inelastic (INEL) and non-single-diffractive (NSD) events. The average transverse momentum for $|\eta|<0.8$ is $\left<p_{\rm T}\right>_{\rm INEL}=0.483\pm0.001$ (stat.) $\pm0.007$ (syst.) GeV/$c$ and \left_{\rm NSD}=0.489\pm0.001 (stat.) $\pm0.007$ (syst.) GeV/$c$, respectively. The data exhibit a slightly larger $\left<p_{\rm T}\right>$ than measurements in wider pseudorapidity intervals. The results are compared to simulations with the Monte Carlo event generators PYTHIA and PHOJET.Comment: 20 pages, 8 figures, 2 tables, published version, figures at http://aliceinfo.cern.ch/ArtSubmission/node/390

Impact of COVID-19 on cardiovascular testing in the United States versus the rest of the world

Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-US institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection

The ALICE experiment at the CERN LHC

ALICE (A Large Ion Collider Experiment) is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model. It is designed to address the physics of strongly interacting matter and the quark-gluon plasma at extreme values of energy density and temperature in nucleus-nucleus collisions. Besides running with Pb ions, the physics programme includes collisions with lighter ions, lower energy running and dedicated proton-nucleus runs. ALICE will also take data with proton beams at the top LHC energy to collect reference data for the heavy-ion programme and to address several QCD topics for which ALICE is complementary to the other LHC detectors. The ALICE detector has been built by a collaboration including currently over 1000 physicists and engineers from 105 Institutes in 30 countries. Its overall dimensions are 161626 m3 with a total weight of approximately 10 000 t. The experiment consists of 18 different detector systems each with its own specific technology choice and design constraints, driven both by the physics requirements and the experimental conditions expected at LHC. The most stringent design constraint is to cope with the extreme particle multiplicity anticipated in central Pb-Pb collisions. The different subsystems were optimized to provide high-momentum resolution as well as excellent Particle Identification (PID) over a broad range in momentum, up to the highest multiplicities predicted for LHC. This will allow for comprehensive studies of hadrons, electrons, muons, and photons produced in the collision of heavy nuclei. Most detector systems are scheduled to be installed and ready for data taking by mid-2008 when the LHC is scheduled to start operation, with the exception of parts of the Photon Spectrometer (PHOS), Transition Radiation Detector (TRD) and Electro Magnetic Calorimeter (EMCal). These detectors will be completed for the high-luminosity ion run expected in 2010. This paper describes in detail the detector components as installed for the first data taking in the summer of 2008

Simulated satiation through reality-enhancing technology

We define simulated satiation through reality-enhancing technology as any attenuation in perceived benefits that occurs within or results from vicarious and simulated intermediary sources. We examine simulated satiation as a factor that underlies consumer experiences with reality-enhancing technologies and presents nine testable propositions. Each proposition is aimed at determining how simulated satiation can unlock implications in terms of engaging consumers for the right amount of time to improve marketing outcomes. We further conduct a proof-of-concept study to test proposition 1, that physiological drivers and sensory overload increases simulated satiation. The empirical results show that shorter (vs. longer) exposure to virtual reality content raises perceived usefulness for virtual reality (VR), which in turn mediates stickiness for VR experiences alongside consumers’ subjective well-being. Finally, we carry forward key theoretical contradictions and areas for future empirical testing based on simulated satiation in reality-enhanced environments, including experiences, that are reshaping consumer decision making

Risk Seeking For Experiential Purchases: Why Consumers Take a Gamble on Experiences But Play It Safe For Material Options

The decision-making literature consistently demonstrates risk aversion for potential gains-preferring a sure thing over a larger, riskier reward. We propose that risk aversion holds for material choices (e.g. televisions, tennis shoes), but when faced with an experiential reward (e.g. vacation, restaurant meal), consumers flip preferences and become risk seeking

Uncovering wicked problem’s system structure : seeing the forest for the trees.

Purpose: This article uses systems thinking, systems theory, and Camillus’ (2008) framework for responding to wicked problems to provide social marketers with a theoretically based framework for approaching strategy formation for wicked problems. The article treats fast fashion as an illustrative case, and takes a step back from implementation to provide a framework for analysing and gaining understanding of wicked problem system structure in order for social marketers to then plan more effective interventions. The proposed approach is intended as a theory-based tool for social marketing practitioners to uncover system structure and analyse the wicked problems they face. Approach: Following Layton (2014), this work provides theoretically-based guidelines for analysing the black box of how to develop and refine strategy as first proposed in Camillus’ (2008) framework for responding to wicked issues. Findings: The prescription thus developed for approaching wicked problems’ system structure revolves around (1) identifying the individuals, groups, or entities that make up the system involved in the wicked problem, then (2) determining which social mechanisms most clearly drive each entity and which outcomes motivate these social mechanisms, before (3) determining which role the entities play as either incumbent, challenger or governance and which social narratives drive each role’s participation in the wicked problem. Originality/value: This article shows that using systems thinking can help social marketers to gain big picture thinking and develop strategy for responding to complex issues, while considering the consequences of interventions

Understanding the Inherent Complexity of Sustainable Consumption: A Social Cognitive Framework

This article explores the potential of a theoretical framework, based on social cognitive theory (SCT), to inspire future research into sustainable consumption. The SCT framework provides a dynamic perspective on sustainable consumption through exploring the interactive nature of personal, environmental and behavioral factors of consumption. The SCT framework, which builds on prior theoretical models of sustainable consumption, incorporates the concept of reciprocal determinism, wherein personal, environmental and behavioral factors create a feedback loop to influence each other. Two examples, toy sharing in New Zealand and water conservation in Australia, illustrate the dynamic nature of sustainable consumption and the potential of an SCT based framework to provide a more nuanced view of behavioral change in this context. From these two examples, several ideas for future research emerge to help illustrate the potential of SCT to inform and inspire the next wave of research on sustainable consumption