Travelers’ value of protective measures against bed bugs in hotels

2020 ◽  
pp. 135481662092321 ◽  
Author(s):  
Jerrod Penn ◽  
Wuyang Hu

Bed bugs pose a nontrivial threat to the hospitality industry. Hotels often engage in reactive practices to protect their business from further economic loss due to bed bugs although proactive measures, such as housekeeping inspection, professional inspections, and mattress encasements, may be more appealing to travelers and cost-effective. Using data collected from a national survey of US travelers, this study shows that travelers have the highest willingness to pay for mattress encasements and professional inspections. Although this premium varies considerably based on traveler characteristics and attitudes, and not all of them prefer to know about the practices, a large proportion of travelers have positive willingness to pay for these proactive practices. Overall, for leisure traveling, individuals who have business travel experiences for the previous year are willing to pay significantly higher than those who have never traveled for business in the previous year.

Author(s):  
Paul Oehlmann ◽  
Paul Osswald ◽  
Juan Camilo Blanco ◽  
Martin Friedrich ◽  
Dominik Rietzel ◽  
...  

AbstractWith industries pushing towards digitalized production, adaption to expectations and increasing requirements for modern applications, has brought additive manufacturing (AM) to the forefront of Industry 4.0. In fact, AM is a main accelerator for digital production with its possibilities in structural design, such as topology optimization, production flexibility, customization, product development, to name a few. Fused Filament Fabrication (FFF) is a widespread and practical tool for rapid prototyping that also demonstrates the importance of AM technologies through its accessibility to the general public by creating cost effective desktop solutions. An increasing integration of systems in an intelligent production environment also enables the generation of large-scale data to be used for process monitoring and process control. Deep learning as a form of artificial intelligence (AI) and more specifically, a method of machine learning (ML) is ideal for handling big data. This study uses a trained artificial neural network (ANN) model as a digital shadow to predict the force within the nozzle of an FFF printer using filament speed and nozzle temperatures as input data. After the ANN model was tested using data from a theoretical model it was implemented to predict the behavior using real-time printer data. For this purpose, an FFF printer was equipped with sensors that collect real time printer data during the printing process. The ANN model reflected the kinematics of melting and flow predicted by models currently available for various speeds of printing. The model allows for a deeper understanding of the influencing process parameters which ultimately results in the determination of the optimum combination of process speed and print quality.


Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 931
Author(s):  
Chi-Leung Chiang ◽  
Sik-Kwan Chan ◽  
Shing-Fung Lee ◽  
Horace Cheuk-Wai Choi

Background: The IMbrave 150 trial revealed that atezolizumab plus bevacizumab (atezo–bev) improves survival in patients with unresectable hepatocellular carcinoma (HCC) (1 year survival rate: 67.2% vs. 54.6%). We assessed the cost-effectiveness of atezo–bev vs. sorafenib as first-line therapy in patients with unresectable HCC from the US payer perspective. Methods: Using data from the IMbrave 150, we developed a Markov model to compare the lifetime cost and efficacy of atezo–bev as first-line systemic therapy in HCC with those of sorafenib. The main outcomes were life-years, quality-adjusted life-years (QALYs), lifetime costs, and incremental cost-effectiveness ratio (ICER). Results: Atezo–bev demonstrated a gain of 0.44 QALYs, with an additional cost of USD 79,074. The ICER of atezo–bev was USD 179,729 per QALY when compared with sorafenib. The model was most sensitive to the overall survival hazard ratio and body weight. If we assumed that all patients at the end of the IMbrave 150 trial were cured of HCC, atezo–bev was cost-effective (ICER USD 53,854 per QALY). However, if all patients followed the Surveillance, Epidemiology, and End Results data, the ICER of atezo–bev was USD 385,857 per QALY. Reducing the price of atezo–bev by 20% and 29% would satisfy the USD 150,000/QALY and 100,000/QALY willingness-to-pay threshold. Moreover, capping the duration of therapy to ≤12 months or reducing the dosage of bev to ≤10 mg/kg would render atezo–bev cost-effective. Conclusions: The long-term effectiveness of atezo–bev is a critical but uncertain determinant of its cost-effectiveness. Price reduction would favorably influence cost-effectiveness, even if long-term clinical outcomes were modest. Further studies to optimize the duration and dosage of therapy are warranted.


2011 ◽  
Vol 101 (3) ◽  
pp. 448-453 ◽  
Author(s):  
Joshua Graff Zivin ◽  
Matthew Neidell ◽  
Wolfram Schlenker

We examine the impact of poor water quality on avoidance behavior by estimating the change in bottled water purchases in response to drinking water violations. Using data from a national grocery chain matched with water quality violations, we find an increase in bottled water sales of 22 percent from violations due to microorganisms and 17 percent from violations due to elements and chemicals. Back-of-the envelope calculations yield costs of avoidance behavior at roughly $60 million for all nationwide violations in 2005, which likely reflects a significant understatement of the total willingness to pay to eliminate violations.


Molecules ◽  
2020 ◽  
Vol 25 (11) ◽  
pp. 2655 ◽  
Author(s):  
Belal J. Muhialdin ◽  
Nazamid Saari ◽  
Anis Shobirin Meor Hussin

The challenges to fulfill the demand for a safe food supply are dramatically increasing. Mycotoxins produced by certain fungi cause great economic loss and negative impact on the sustainability of food supplies. Moreover, the occurrence of mycotoxins at high levels in foods poses a high health threat for the consumers. Biological detoxification has exhibited a high potential to detoxify foodstuffs on a cost-effective and large scale. Lactic acid bacteria showed a good potential as an alternative strategy for the elimination of mycotoxins. The current review describes the health and economic impacts associated with mycotoxin contamination in foodstuffs. Moreover, this review highlights the biological detoxification of common food mycotoxins by lactic acid bacteria.


2016 ◽  
Vol 8 (4) ◽  
pp. 432-443 ◽  
Author(s):  
Madhu Vij

Purpose This study aims to provide a comprehensive treatment of the various issues surrounding the concept of the cost competitiveness, competitiveness and sustainability of the hospitality industry. We also investigate how innovations in the Indian hospitality industry can optimize costs without compromising the quality of the product or the services offered. Design/methodology/approach The methodology used is mainly survey-based with the use of both structured and unstructured questionnaires. In addition, some interviews were conducted with policy-makers and academics to explore from their perspectives what might be the innovations and sustainability issues in the next decade. Findings The paper helps to identify the essential aspects of cost competitiveness, competitiveness and sustainability in the hospitality industry and to better understand if cost optimization can be accomplished simply by realigning process or cost. These issues have become very important in India in the present context of globalization. Practical implications With growing competition on a global level, the hospitality industry needs to proactively manage its internal operations and focus on reducing costs and raising service quality. In this context, the paper helps to reveal sustainable cost effective practices that are geared to today’s competitive environment. Originality/value The inspiration to write this paper arises from the recent global economic slowdown and the fact that the hospitality industry is confronted with growing competition on a global level. This study highlights how value can be created for customers by applying suitable strategies.


2014 ◽  
Vol 32 (2) ◽  
pp. 64-70
Author(s):  
Hayk Khachatryan ◽  
Chengyan Yue ◽  
Ben Campbell ◽  
Bridget Behe ◽  
Charlie Hall

We investigated how differences in the consideration of future consequences (CFC) influence consumers' willingness to pay for edible and ornamental plants using data from plant auction experiments conducted in the U.S. and Canada. Specifically, the study focused on individuals' preferences for plant attributes related to production method, container type, and product origin. Individuals assigning higher importance to future consequences of their current decisions were willing to pay a price premium for plants grown using sustainable (16.7 cents) and energy-saving (16.5 cents) production methods, non-conventional containers such as compostable (18.2 cents) and plantable (14.3 cents), and locally produced plants (15.3 cents), and they expected a discount (37.8 cents) to purchase imported plants (i.e., produced outside the U.S.). In contrast, individuals assigning higher importance to immediate outcomes of their decisions were not willing to pay a price premium for the above mentioned attributes, with the exception of water-saving and compostable ones. The results contribute to our understanding of the effects of temporal considerations on choice decision making by horticultural consumers, and provide horticultural marketers with an opportunity to effectively position products that provide long- or short-term benefits.


2018 ◽  
Vol 1 (2) ◽  
pp. 73
Author(s):  
Jacqueline Juhl

Despite the advances in dental sciences, innovative oral health programs, and efforts dedicated by oral health professionals,globally, unmet oral disease, and the economic loss it causes, is growing. In the present, oral health care delivery systemsurgently need improvement. The introduction of dental hygienists as essential members of the health care team can contributeto improved and cost-effective health care outcomes. This paper provides definitions of dental hygienists from both, aninternational and the United States (U.S.) and describes their education, functions, and contributions to the health care team.


2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 395-395
Author(s):  
Vidit Sharma ◽  
Kevin Wymer ◽  
Christopher Saigal ◽  
Karim Chamie ◽  
Mark S. Litwin ◽  
...  

395 Background: Patients with BCG-unresponsive carcinoma in situ (CIS) are treated with radical cystectomy (RCx) or salvage intravesical chemotherapy (SIC). Recently, the FDA approved pembrolizumab for BCG-unresponsive CIS +/- papillary tumors. Given the costs and toxicities of pembrolizumab, it remains unclear whether its benefits are sufficient to warrant widespread use for BCG-unresponsive CIS. To that end, we conducted a cost-effectiveness analysis comparing pembrolizumab with RCx and SIC (using gemcitabine-docetaxel as the prototypical regimen) for patients with BCG-unresponsive CIS. Methods: A decision-analytic Markov model compared pembrolizumab, SIC (with gemcitabine-docetaxel), and RCx for patients with BCG-unresponsive CIS +/- papillary tumors who are RCx candidates (index patient 1) or are unwilling/unable to undergo RCx (index patient 2). Each treatment option was a Markov node containing distinct variations of the following health states: surveillance, recurrence, progression to MIBC, progression to metastasis, treatment toxicity, and death. Incremental Cost-Effectiveness Ratios (ICERs) were compared using a willingness-to-pay threshold of $100,000/Quality-adjusted life year (QALY). The model used a US Medicare perspective with a 5-year time horizon for the base case. One-way and probabilistic sensitivity analyses were performed for all model parameters. Results: For index patient 1, pembrolizumab was not cost-effective vs. RCx (ICER $1,403,008) or SIC (ICER $2,011,923). One-way sensitivity analysis revealed that pembrolizumab only became cost-effective relative to RCx with a > 93% price reduction. Relative to RCx, SIC was cost-effective for time horizons < 5 years and nearly cost-effective at 5 years (ICER $118,324). One-way sensitivity analysis revealed that SIC became cost-effective relative to RCx if its risk of recurrence or metastasis at 2 years was less than 55% or 5.9%, respectively. For index patient 2, pembrolizumab required > 90% price reduction to be cost-effective vs. RCx (ICER $1,073,240). Probabilistic sensitivity analyses revealed that pembrolizumab was unlikely to be cost-effective even at high willingness-to-pay thresholds. Further sensitivity analyses found that no two-way combination of extrapolated values resulted in pembrolizumab being favored over RCx or SIC for either index patient. Conclusions: Based on decision-analytic Markov modeling of treatment options for patients with BCG-unresponsive CIS, pembrolizumab was unlikely to be cost-effective without a > 90% price reduction. While both RCx and SIC were more cost-effective than pembrolizumab, further studies may validate the cost-effectiveness of gemcitabine-docetaxel relative to RCx if the recurrence and metastasis thresholds are met. Overall, our model supports the preferential use of RCx and SIC over pembrolizumab for BCG-unresponsive CIS.


Author(s):  
A. Stefanie Ruiz ◽  
Lili Wang ◽  
Femida Handy

This study investigates the association between the integration of first-generation immigrants and their volunteering. Using data from a Canadian national survey, we examine three dimensions of immigrant integration: professional, psychosocial and political. General volunteering is not significantly related to integration; however, there exists a relationship between the different dimensions of integration and where immigrants choose to volunteer. Thus, the relationship between the type and degree of immigrant integration and volunteering is nuanced; it matters where volunteering occurs.


2022 ◽  
pp. 20-39
Author(s):  
Elliot Mbunge ◽  
Benhildah Muchemwa

Social media platforms play a tremendous role in the tourism and hospitality industry. Social media platforms are increasingly becoming a source of information. The complexity and increasing size of tourists' online data make it difficult to extract meaningful insights using traditional models. Therefore, this scoping and comprehensive review aimed to analyze machine learning and deep learning models applied to model tourism data. The study revealed that deep learning and machine learning models are used for forecasting and predicting tourism demand using data from search query data, Google trends, and social media platforms. Also, the study revealed that data-driven models can assist managers and policymakers in mapping and segmenting tourism hotspots and attractions and predicting revenue that is likely to be generated, exploring targeting marketing, segmenting tourists based on their spending patterns, lifestyle, and age group. However, hybrid deep learning models such as inceptionV3, MobilenetsV3, and YOLOv4 are not yet explored in the tourism and hospitality industry.


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