EXPRESS: Buy Less, Buy Luxury: Understanding and Overcoming Product Durability Neglect for Sustainable Consumption

2021 ◽  
pp. 002224292199317
Author(s):  
Jennifer J. Sun ◽  
Silvia Bellezza ◽  
Neeru Paharia

The authors propose that high-end goods, such as luxury apparel, can be more sustainable than mass-market products because they have a longer life-cycle. Across six studies, the authors examine the sustainability of high-end products, investigate consumers’ decision making when considering high-end versus ordinary goods, and identify effective marketing strategies to emphasize product durability, an important and valued dimension of sustainable consumption. Real-world data on new and secondhand accessories demonstrate that high-end goods can be more sustainable than mid-range products because they have a longer life-cycle. Furthermore, consumers engage in more sustainable behaviors with high-end goods, owning them for longer and disposing them in more environmentally friendly manners. Nevertheless, a series of studies shows that many consumers prefer to allocate the same budget on multiple ordinary goods in lieu of fewer high-end products partly because of product durability neglect, a failure to consider how long a product will last. Finally, this research offers actionable strategies for marketers to help consumers overcome product durability neglect and nudge them towards concentrating their budget on fewer high-end, durable products.

2021 ◽  
Author(s):  
Peter Klimek ◽  
Dejan Baltic ◽  
Martin Brunner ◽  
Alexander Degelsegger-Marquez ◽  
Gerhard Garhöfer ◽  
...  

UNSTRUCTURED Real-world data (RWD) collected in routine healthcare processes and transformed to real-world evidence (RWE) has become increasingly interesting within research and medical communities to enhance medical research and support regulatory decision making. Despite numerous European initiatives, there is still no cross-border consensus or guideline determining which quality RWD must meet in order to be acceptable for decision making within regulatory or routine clinical decision support. An Austrian expert group led by GPMed (Gesellschaft für Pharmazeutische Medizin, Austrian Society for Pharmaceutical Medicine) reviewed drafted guidelines, published recommendations or viewpoints to derive a consensus statement on quality criteria for RWD to be used more effectively for medical research purposes beyond registry-based studies discussed in the European Medicines Agency (EMA) guideline for registry-based studies


Author(s):  
Alejandro Rodríguez-González ◽  
Ángel García-Crespo ◽  
Ricardo Colomo-Palacios ◽  
José Emilio Labra Gayo ◽  
Juan Miguel Gómez-Berbís ◽  
...  

The combination of the burgeoning interest in efficient and reliable Health Systems and the advent of the Information Age represent both a challenge and an opportunity for new paradigms and cutting-edge technologies reaching a certain degree of maturity. Hence, the use of Semantic Technologies for Automated Diagnosis could leverage the potential of current solutions by providing inference-based knowledge and support on decision-making. This paper presents the ADONIS approach, which harnesses the use of ontologies and the underlying logical mechanisms to automate diagnosis and provide significant quality results in its evaluation on real-world data scenarios.


2018 ◽  
Vol 2 (2) ◽  
pp. 63-77 ◽  
Author(s):  
Aleksandra Wójcicka

The financial sector (banks, financial institutions, etc.) is the sector most exposed to financial and credit risk, as one of the basic objectives of banks' activity (as a specific enterprise) is granting credit and loans. Because credit risk is one of the problems constantly faced by banks, identification of potential good and bad customers is an extremely important task. This paper investigates the use of different structures of neural networks to support the preliminary credit risk decision-making process. The results are compared among the models and juxtaposed with real-world data. Moreover, different sets and subsets of entry data are analyzed to find the best input variables (financial ratios).


Author(s):  
Jeffrey Bruckel ◽  
Hitinder S Gurm ◽  
Milan Seth ◽  
Richard L Prager ◽  
Andrea Jensen ◽  
...  

BACKGROUND: Heart Team decision-making for patients with complex coronary disease is a new concept in patient management, increasingly supported by guidelines. Although the Heart Team concept is supported by theory, there are little real-world data on implementation and prevalence. We sought to assess the prevalence of Heart Teams, and their impact on collaborative practice. METHODS: The Blue Cross Blue Shield of Michigan Cardiovascular Consortium and Michigan Society of Thoracic and Cardiovascular Surgeons performed a survey of 31 hospitals in Michigan where percutaneous coronary intervention (PCI) is performed. This survey was performed in 5/2011, before Heart Teams were recommended in National Guidelines. Physicians from each hospital were asked about the presence of a Heart Team or Case Conference, the frequency of collaboration, and the subjective level of collaboration (using a five-point Likert-type scale). We assessed the level of agreement between respondents from the same hospital about whether a Heart Team was active at their hospital. Due to disagreement at several hospitals, we classified them into Definite, Possible, or No Heart Team groups. RESULTS: Fifty-three physicians responded, representing 27/31 (87.1%) of hospitals surveyed. Seven hospitals out of 27 (25.9%) reported either a Heart Team or combined Case Conference, while 11/27 hospitals (40.7%) reported no Heart Team or Case Conference. There was disagreement about the presence of a Heart Team at 7/27 (25.9%) of hospitals and about Case Conferences at 9/27 (33.3%) of hospitals. There were few significant differences in the size or characteristics of hospitals between Heart Team groups. All Heart Team hospitals were teaching hospitals, compared with 73% (8/11) of non-Heart Team hospitals (p=0.056). The reported level of collaboration was significantly higher at Heart Team hospitals; this was reported as very good or best possible (4 or 5 out of 5) by 83.8% (31/37) of possible or definite Heart Team hospital respondents, compared with 50% (8/16) of respondents from hospitals without Heart Teams (p=0.017). Communication about patients undergoing multivessel PCI was higher at Heart Team hospitals (p=0.005). Discussion: This is the first report on the prevalence of Heart Teams in real-world practice, prior to the release of guidelines supporting their implementation. The most important findings of this study are the low initial prevalence of Heart Teams, and the level of disagreement between survey respondents about whether their hospital has a Heart Team or Case Conference. The survey shows higher levels of collaboration at hospitals with Heart Teams or Case Conferences. As Heart Teams become more widespread, more formal definition of the implementation and activities of a Heart Team will be crucial. Further study is needed to clarify the institutional characteristics that lead to a successful Heart Team.


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