scholarly journals Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome

2021 ◽  
Vol 13 (21) ◽  
pp. 12331
Author(s):  
Ru Jia ◽  
Shanshan Wang
Keyword(s):  
Numerical Experiments ◽  
High Ratio ◽  
Decision Makers ◽  
Modeling Framework ◽  
Market Outcomes ◽  
Market Positioning ◽  
Success Indicators ◽  
Managerial Implications ◽  
The Impact

Nonprofessional hosts in the P2P accommodation-sharing markets have been demonstrated to be inferior in pricing. The sharing market is increasingly recruiting more professional hosts but is bothered by the disharmony from nonprofessionals’ feelings of being cast aside in this drive. To respond to this practice and disharmony, we develop a modeling framework with price-sensitive customers and earning-based hosts to investigate how varying ratios of professional and nonprofessional hosts affect pricing and impact sharing-market outcomes according to contemporary and long-term success indicators. This study is one of the first attempts to examine whether more professional hosts as supply decision makers is more beneficial to the sharing market. Numerical experiments for model analysis led to two primary managerial implications. A high ratio of professional hosts does not necessarily maximize indicators of hosts’ earnings, platform’s profit, or supply size, indicators that measure the accommodation-sharing market’s contemporary and long-term success. In addition, the market improves with magnified differences in the unique features of two types of hosts and they can cater to customers’ experiences and expectations, differentiating the market positioning of the two types of hosts.

scholarly journals Influence of Customer Attrition on Diffusion of Business Education Services

2017 ◽  
Vol 2 (2) ◽  
pp. 125-134
Author(s):  
Nitin Sachdeva
Keyword(s):  
Goodness Of Fit ◽  
New Product ◽  
Mean Value ◽  
Diffusion Models ◽  
Primary Data ◽  
Type I ◽  
Modeling Framework ◽  
Customer Attrition ◽  
The Impact

Innovation diffusion models have been developed by many researchers during the past few decades based on the famous Bass (1969) model. Several such diffusion models have been developed in consideration of price, marketing efforts etc., however, it is hardly seen that customer attrition (disadoption) can play a significant role in long term growth process of any new product or service. This paper defines two types of disadoption process, Type I disadoption and Type II disadoption process, representing disadopters from innovators and imitators, respectively. We illustrate that there is an increase in the market size along with the adoption of new product and this increase is addressed in this paper. The explicit mean value function for the two types of disadoption processes is derived in this paper. The thrust of the research is on studying the management educational services in the Delhi/NCR region of India and the impact of disadoption on the long term growth of such services. In order to validate the proposed modeling framework, we make use of different goodness-of-fit criteria on primary data collected from an institute in Delhi/NCR.

scholarly journals Imaginary Worlds: The Status of Simulation Modeling in Claims for Cost-Effectiveness In Diabetes Mellitus

2016 ◽  
Vol 7 (2) ◽  
Author(s):  
Paul C Langley ◽  
Taeho Greg Rhee
Keyword(s):  
Diabetes Mellitus ◽  
Cost Effectiveness ◽  
Simulation Modeling ◽  
Decision Makers ◽  
The Past ◽  
The Status ◽  
The Impact

Over the past 20 years a number of simulations or models have been developed as a basis for tracking and evaluating the impact of pharmacological and other interventions in type 1 and type 2 diabetes mellitus. These models have typically tracked the natural course of these diseases generating long-term composite claims for cost-effectiveness. These claims can extend over the lifetime of the modeled patient cohort. Set against the standards of normal science, however, these claims lack credibility. The claims presented are all too often either immune to failure or are presented in a form that is non-testable. As such they fail to meet the key experimental requirements of falsification and replication. Unfortunately, there is a continuing belief that long-term or lifetime models are essential to decision-making. This is misplaced. The purpose of this review is to argue that there is a pressing need to reconsider the needs of health system decision makers and focus on modeled or simulated claims that are meaningful, testable, reportable and replicable in evaluating interventions in diabetes mellitus.   Type: Commentary

Linking Scientific Research to Development Agenda

2018 ◽  
pp. 374-391
Author(s):  
P. K. Kenabatho ◽  
B. P. Parida ◽  
B. Matlhodi ◽  
D.B. Moalafhi
Keyword(s):  
Case Studies ◽  
Scientific Community ◽  
Scientific Research ◽  
Decision Makers ◽  
Knowledge Generation ◽  
Policy Makers ◽  
Scientific Investigations ◽  
Development Agenda ◽  
The Impact

In recent years, the scientific community has been urged to undertake research that can immediately have impact on development issues, including national policies, strategies, and people's livelihoods, among others. While this is a fair call from decision makers, it should also be realized that science by nature is about innovation, discovery and knowledge generation. In this context, there is need for a balance between long term scientific investigations and short term scientific applications. With regard to the former, researchers spend years investigating (or need data of sufficient record length) to provide sound and reliable solutions to a problem at hand while in the latter, it is possible to reach a solution with few selected analyses. In all cases, it is advisable that researchers, where possible should link their studies to topical development issues in their case studies. In this paper, we use a hydrometeorological project in the Notwane catchment, Botswana, to show the importance of linking research to development agenda for mutual benefit of researchers and policy makers. The results indicate that some key development issues are being addressed by the Project and the scope exists to improve the impact of the project.

scholarly journals The Long-Term Effects of Long Terms – Compulsory Schooling Reforms in Sweden

2019 ◽  
Vol 18 (6) ◽  
pp. 2776-2823
Author(s):  
Martin Fischer ◽  
Martin Karlsson ◽  
Therese Nilsson ◽  
Nina Schwarz
Keyword(s):  
Gender Gap ◽  
Labor Market Outcomes ◽  
Instructional Time ◽  
Long Term Effects ◽  
Compulsory Schooling ◽  
Market Outcomes ◽  
Term Length ◽  
Annual Term ◽  
The Impact

Abstract We evaluate the impact on earnings, pensions, and further labor market outcomes of two parallel educational reforms increasing instructional time in Swedish primary school. The reforms extended the annual term length and years of compulsory schooling by comparable amounts. We find striking differences in the effects of the two reforms: at 5% the returns to the term length extension were sizeable and benefited broad ranges of the population. The compulsory schooling extension had small (2%) albeit significant effects, which were possibly driven by an increase in post-compulsory schooling. Both reforms led to increased sorting into occupations with heavy reliance on basic skills and the term extension reduced the gender gap in employment and earnings.

scholarly journals Yet another lockdown? A large-scale study on people's unwillingness to be confined during the first 5 months of the COVID-19 pandemic in Spain

2021 ◽  
Author(s):  
Marina Martinez-Garcia ◽  
Alejandro Rabasa ◽  
Xavier Barber ◽  
Kristina Polotskaya ◽  
Kristof Roomp ◽  
...  
Keyword(s):  
Large Scale ◽  
Psychological Impact ◽  
Important Variable ◽  
Decision Makers ◽  
Policy Makers ◽  
Time Period ◽  
Economic Support ◽  
Gender And Age ◽  
The Impact

Population confinements have been one of the most widely adopted non-pharmaceutical interventions (NPIs) implemented by governments across the globe to help contain the spread of the SARS-CoV-2 virus. While confinement measures have been proven to be effective to reduce the number of infections, they entail significant economic and social costs. Thus, different policy makers and social groups have exhibited varying levels of acceptance of this type of measures. In this context, understanding the factors that determine the willingness of individuals to be confined during a pandemic is of paramount importance, particularly, to policy and decision-makers. In this paper, we study the factors that influence the unwillingness to be confined during the COVID-19 pandemic by means of a large-scale, online population survey deployed in Spain. We apply both quantitative (logistic regression) and qualitative (automatic pattern discovery) methods and consider socio-demographic, economic and psychological factors, together with the 14-day cumulative incidence per 100,000 inhabitants. Our analysis of 109,515 answers to the survey covers data spanning over a 5-month time period to shed light on the impact of the passage of time. We find evidence of pandemic fatigue as the percentage of those who report an unwillingness to be in confinement increases over time; we identify significant gender differences, with women being generally less likely than men to be able to sustain long-term confinement of at least 6 months; we uncover that the psychological impact was the most important factor to determine the willingness to be in confinement at the beginning of the pandemic, to be replaced by the economic impact as the most important variable towards the end of our period of study. Our results highlight the need to design gender and age specific public policies, to implement psychological and economic support programs and to address the evident pandemic fatigue as the success of potential future confinements will depend on the population's willingness to comply with them.

scholarly journals The impact of tourist flows on the sustainable development of a tourist destination

2021 ◽  
Vol 937 (4) ◽  
pp. 042031
Author(s):  
A Kopyrin ◽  
E Vidishcheva
Keyword(s):  
Sustainable Development ◽  
Additional Data ◽  
Decision Makers ◽  
The Sustainable Development ◽  
Tourism Sector ◽  
Tourist Flows ◽  
Expert Assessments ◽  
The Impact

Abstract The development of the economy’s tourism sector is one of the priority tasks set by the leadership of the Krasnodar Territory and Russian Federation. Thus, the construction of a model of the impact of tourist flows on the sustainability of the destination is very relevant. The authors developed a simulation model of the impact of tourist flows on the sustainable development of destination. The weighted net savings indicator was used as a measure of sustainability. This model can be further used in predicting the development of the studied sector of the economy. Using the developed tool for medium- and long-term planning will provide additional data to decision makers, reducing uncertainty, and thus improving the quality of management. The accuracy of the model is based entirely on publicly available statistics and expert assessments.

Cluster analysis for dispersion patterns near nuclear power plants in South Korea

2020 ◽  
Author(s):  
Hyunha Lee ◽  
Chunsil Jin ◽  
Chunji Kim
Keyword(s):  
Power Plant ◽  
South Korea ◽  
Nuclear Power ◽  
Power Plants ◽  
Meteorological Data ◽  
Flow Patterns ◽  
Modeling Framework ◽  
Dispersion Patterns ◽  
The Impact

<p>  Clustering analysis using air parcel trajectories is actively used to investigate transport patterns of pollutants. To estimate the impact of nuclide dispersion from nuclear accident, comprehensive information based on long-term meteorological data is required to eatablish a complete and efficient public protection plan. Most of nuclear plants in South Korea are located in a complex terrain near coastal area that involves complicated meteorological phenomenon such as sea breezes and mountain-valley breezes. Robust approach based on long-term climatrological data is required to fully resolve the impacts near Korean nuclear power plants.</p><p>  In this study, we assessed the impacts of potential nuclear accident in South Korea by clustering dispersion patterns using 10-year meteorological data. Flow patterns are clustered using trajectory cluster analysis, and then combined with dispersion simulations to demonstrate the clustered dispersion patterns by each season and nuclear power plant.</p><p>  The long-term meteorological simulations from 2007 to 2016 were used to evaluate the potential impact of nuclear accidents in Korea, and the modeling framework was designed to show the impact map according to the flow patterns near each nuclear power plant. NOAA HYSPLIT modeling additional clustering analysis suggests that two or three cluster patterns for each power plant can be used. A total of 38 flow patterns are classified near the four nuclear plants in the previous season based on a 10-year wind field analysis. Korea has very complex terrain and coastal areas, and more sophisticated modeling efforts are needed to fully understand the more realistic dispersion characteristics of air masses. In terms of space-time resolution, updating land use information for simulation is very important for weather simulation near the surface of Korea.</p><p>  The results of this study can be used as a guideline for constructing a modeling framework for nuclide diffusion simulations, but given these complex simulation configurations, the results demonstrated in the current study are should be interpreted with caution.</p><p> </p>

scholarly journals Switch-out and switch-in: What motivates the decision makers in Italian occupational pension funds?

2016 ◽  
Vol 5 (1) ◽  
pp. 37-42
Author(s):  
Andrea Lippi
Keyword(s):  
Decision Process ◽  
Pension Funds ◽  
Decision Makers ◽  
Occupational Pension ◽  
Short Term ◽  
The One ◽  
Long Term Performance ◽  
Term Performance ◽  
The Impact

To switch presumes two kinds of transactions carried out by the same person: on the one hand, the decision to exit an investment line (switch-out) and, on the other hand, the decision to enter into a new investment line (switch-in). What motivates the decision makers? This paper, considering a sample of Italian occupational pension funds, investigates the impact of short-term and long-term performance on the switch decision process and whether the same performance can lead investors to make opposite switch decisions. Some irrational behaviors are identified.

scholarly journals Getting value today and incentivising for the future: Pharmaceutical development and healthcare policies

2015 ◽  
Vol 5 (1) ◽  
pp. 77-96
Author(s):  
Kasper Munk Johannesen ◽  
Martin Henriksson
Keyword(s):  
New Technologies ◽  
Consumer Surplus ◽  
Decision Makers ◽  
Demand Side ◽  
International Reference ◽  
Reference Pricing ◽  
Clinical Practise ◽  
The Impact ◽  
Structured Approach

To manage the challenge of limited healthcare resources and unlimited demand for healthcare, decision makers utilise a variety of demand side policies, such as health technology appraisals and international reference pricing to regulate price and utilisation. By controlling price and utilisation demand side policies determine the earnings potential, and hence the incentives to invest in research and development (R&D) of new technologies. However, the impact of demand side policies on R&D incentives is seldom formally assessed.Based on the key assumption that intellectual property rights, i.e. patents, and expected rent are key drivers of pharmaceutical R&D, this work outlines a framework illustrating the link between demand side policies and pharmaceutical R&D incentives. By analysing how policies impact expected rent and consumer surplus, the framework is used to understand how commonly used demand side policies (including timing and length of reimbursement process, international reference pricing, parallel trade, and sequential adoption into clinical practice) may influence R&D incentives.The analysis demonstrates that delayed reimbursement decisions as well as sequential adoption into clinical practise may in fact reduce both expected rent and consumer surplus. It is also demonstrated how international reference pricing is likely to increase consumer surplus at the expense of lower rent and thus lower R&D incentives.Although this work illustrates the importance of considering how demand side policies may impact long-term R&D incentives, it is important to note that the purpose has not been to prescribe which demand side policies should be utilised or how. Rather, the main contribution is to illustrate the need for a structured approach to the analysis of the complex, and at times highly politicised question of how demand side policies ultimately influence population health, both in the short and in the long term. 

scholarly journals EFFICIENT SUPPLY OF HUMAN CAPITAL: ROLE OF COLLEGE MAJOR

2018 ◽  
Vol 63 (05) ◽  
pp. 1319-1343 ◽  
Author(s):  
SUNGJIN CHO ◽  
JIHYE KAM ◽  
SOOHYUNG LEE
Keyword(s):  
Human Capital ◽  
Labor Market ◽  
Policy Change ◽  
Engineering Majors ◽  
Market Outcomes ◽  
College Majors ◽  
South Korean ◽  
Working Age ◽  
The Impact

This study examines the extent to which changing the composition of college majors among working-age population may affect the supply of human capital or effective labor supply. We use the South Korean setting, in which the population is rapidly aging, but where, despite their high educational attainment, women and young adults are still weakly attached to the labor market. We find that engineering majors have an advantage in various outcomes such as likelihood of being in the labor force, being employed, obtaining long-term position, and earnings, while Humanities and Arts/Athletics majors show the worst outcomes. We then conduct a back-of-the-envelope calculation of the impact of the recently proposed policy change to increase the share of engineering majors by 10% starting in 2017. Our calculation suggests that the policy change may have a positive but small impact on labor market outcomes.

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