scholarly journals Mindsets of Current Entrepreneurial and Imminent Labour Forces in Chakan and Mumbai: A Comparative Study

Author(s):  
Dr. Dipti Vashisth Sharma ◽  
◽  
Sarita Samson ◽  

This paper is focused on the concept of Game theory, which producesoptimal decision-making of independent and competing actors in a strategic setting; we have designed hypothetical questions as a part of an online survey. Our respondents were (adults and students). Putting them in a critical economic situation, we asked them to answer a series of questions that would help us determine their mindsets, and form our raw data.

2018 ◽  
Vol 9 (1) ◽  
pp. 59-66
Author(s):  
Zsuzsanna Gödör ◽  
Georgina Szabó

Abstract As they say, money can’t buy happiness. However, the lack of it can make people’s lives much harder. From the moment we open our first bank account, we have to make lots of financial decisions in our life. Should I save some money or should I spend it? Is it a good idea to ask for a loan? How to invest my money? When we make such decisions, unfortunately we sometimes make mistakes, too. In this study, we selected seven common decision making biases - anchoring and adjustment, overconfidence, high optimism, the law of small numbers, framing effect, disposition effect and gambler’s fallacy – and tested them on the Hungarian population via an online survey. In the focus of our study was the question whether the presence of economic knowledge helps people make better decisions? The decision making biases found in literature mostly appeared in the sample as well. It proves that people do apply them when making decisions and in certain cases this could result in serious and costly errors. That’s why it would be absolutely important for people to learn about them, thus increasing their awareness and attention when making decisions. Furthermore, in our research we did find some connection between decisions and the knowledge of economics, people with some knowledge of economics opted for the better solution in bigger proportion


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 568.2-568
Author(s):  
L. Kranenburg ◽  
M. Dankbaar ◽  
N. Basoski ◽  
W. Van den Broek ◽  
J. Hazes

Background:The training curriculum for rheumatologists in training in the Netherlands describes competences and entrusted professional activities (EPA) to monitor the progress in learning. However, this training program does not discuss training of Shared Decision Making. As the basis for shared care and patient participation is made during these years, the question arises how rheumatologist in training think about Shared Decision Making and how they use this in daily practice.Objectives:Inventory of vision, experience and self-evaluation of skills related to Shared Decision Making amongst rheumatologists in training in the Netherlands in order to identify barriers in the implementation of Shared Decision Making in daily practice.Methods:Qualitative data was collected from on online survey amongst rheumatologists in training who were registered in January 2018 by the Dutch Society of Rheumatology.Results:Forty-two rheumatologists in training from various years of training responded (60%). Respondents think that Shared Decision Making is important. A third applies Shared Decision Making on a regular basis in daily practice. Self rating of skills for Shared Decision Making varies from sufficient to good. However, respondents are uncertain about their performance due to a lack of feedback and unclearness of the concept. They indicate that Shared Decision Making is not possible for all patients and find it difficult to assess whether the patient has a clear understanding of the options. Patient’s preferences are discussed only by 33% of the doctors on a regular basis when starting new treatment.Conclusion:Rheumatologists in training agree on the importance of Shared Decision Making, but are uncertain about their performance. Unclearness of the concept is described as a known barrier in literature1,2and is frequently mentioned by respondents. Rheumatologist in training indicate that not all patients are fit for Shared Decision Making. Regarding the limited training on the subject this could also be a misjudgment of patients preferences and lack of experience how to deal with different patient types. There is a clear plea for more training and feedback on the subject. Training should be integrated in the curriculum focusing on how to assess patients preferences and how to apply Shared Decision Making also for patients who indicate to leave decisions up to their doctor.References:[1]van Veenendaal, H.et al.Accelerating implementation of shared decision-making in the Netherlands: An exploratory investigation.Patient Educ Couns101, 2097-2104 (2018).[2]Legare, F., Ratte, S., Gravel, K. & Graham, I. D. Barriers and facilitators to implementing shared decision-making in clinical practice: update of a systematic review of health professionals’ perceptions.Patient Educ Couns73, 526-535 (2008).Disclosure of Interests:Laura Kranenburg Grant/research support from: Pfizer and UCB for the development of the Reuma App, a tool to support selfmanagement for patients. This is not used for the research related to the submitted abstract., Mary Dankbaar: None declared, Natalja Basoski: None declared, Walter Van den Broek: None declared, Johanna Hazes: None declared


2021 ◽  
pp. bmjspcare-2020-002619
Author(s):  
Marcus Sellars ◽  
Julien Tran ◽  
Linda Nolte ◽  
Ben White ◽  
Craig Sinclair ◽  
...  

ObjectiveTo describe the Australian adult public’s knowledge and experiences regarding substitute decision-making for medical decisions and their preferences for obtaining information about the substitute decision-maker (SDM) role.MethodsThis is a national cross-sectional online survey of the Australian adult public. The survey examined participants’ advance care planning (ACP) awareness and experience, SDM experiences and preferences for obtaining more information about SDM, and participant knowledge about SDM.ResultsOf 1586 people who opened the survey, 1120 (70.6%) were included in the final sample. 13% (n=142) of participants indicated they had acted as an SDM. A median score of two correct responses out of five showed low to moderate knowledge about the SDM role among all participants, with only 33% reporting awareness of SDM laws existing in Australia. While most (59%) participants ranked a health professional as their preferred source of obtaining information about supporting SDMs, few participants who had been an SDM (n=64, 45%) reported obtaining any support in making medical decisions. The median SDM knowledge scores for people who had discussed ACP (3.0 vs 2.0, U=1 45 222, z=6.910, p<0.001), documented their ACP preferences (3.0 vs 2.0, U=71 984, z=4.087, p<0.001) or acted in the SDM role (3.0 vs 2.0, U=56 353, z=−3.694, p<0.001) were significantly higher compared with those who had not.ConclusionsThe Australian public may have low to moderate knowledge about the SDM role and access only minimal support when making challenging medical decisions.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1523
Author(s):  
Nikita Smirnov ◽  
Yuzhou Liu ◽  
Aso Validi ◽  
Walter Morales-Alvarez ◽  
Cristina Olaverri-Monreal

Autonomous vehicles are expected to display human-like behavior, at least to the extent that their decisions can be intuitively understood by other road users. If this is not the case, the coexistence of manual and autonomous vehicles in a mixed environment might affect road user interactions negatively and might jeopardize road safety. To this end, it is highly important to design algorithms that are capable of analyzing human decision-making processes and of reproducing them. In this context, lane-change maneuvers have been studied extensively. However, not all potential scenarios have been considered, since most works have focused on highway rather than urban scenarios. We contribute to the field of research by investigating a particular urban traffic scenario in which an autonomous vehicle needs to determine the level of cooperation of the vehicles in the adjacent lane in order to proceed with a lane change. To this end, we present a game theory-based decision-making model for lane changing in congested urban intersections. The model takes as input driving-related parameters related to vehicles in the intersection before they come to a complete stop. We validated the model by relying on the Co-AutoSim simulator. We compared the prediction model outcomes with actual participant decisions, i.e., whether they allowed the autonomous vehicle to drive in front of them. The results are promising, with the prediction accuracy being 100% in all of the cases in which the participants allowed the lane change and 83.3% in the other cases. The false predictions were due to delays in resuming driving after the traffic light turned green.


2021 ◽  
Vol 13 (9) ◽  
pp. 4749
Author(s):  
Milo Costanza-van den Belt ◽  
Tayanah O’Donnell ◽  
Robert Webb ◽  
Eleanor Robson ◽  
Robert Costanza ◽  
...  

Civil society engagement is important for enabling urban systems transformations that meet community needs. The development of Future Earth Australia’s Sustainable Cities and Regions: A 10-Year Strategy for Urban Systems was underpinned by cross-sectoral workshops in 7 Australian urban areas and interviews with key stakeholders to create a shared vision of both current and desired future urban structure and policy. We then created an online survey to gauge broader community feedback on the vision which emerged from these workshops and interviews, to compare their outcomes with the views of community members who could be directly impacted by urban decision-making. The survey consisted of 35 questions, which were shaped by the issues emerging from the workshops and interviews. The sample was self-selected, and the 641 respondents represented a cross-section of individuals interested in sustainable cities. Our survey results supported and expanded on the major conclusions of FEA’s National workshop and interview processes, including the need to develop transparent and responsive decision-making processes, limit waste and pollution and develop effective housing and transport alternatives with mixed-use neighborhoods and adequate green space.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shion Maeda ◽  
Nicolas Chauvet ◽  
Hayato Saigo ◽  
Hirokazu Hori ◽  
Guillaume Bachelier ◽  
...  

AbstractCollective decision making is important for maximizing total benefits while preserving equality among individuals in the competitive multi-armed bandit (CMAB) problem, wherein multiple players try to gain higher rewards from multiple slot machines. The CMAB problem represents an essential aspect of applications such as resource management in social infrastructure. In a previous study, we theoretically and experimentally demonstrated that entangled photons can physically resolve the difficulty of the CMAB problem. This decision-making strategy completely avoids decision conflicts while ensuring equality. However, decision conflicts can sometimes be beneficial if they yield greater rewards than non-conflicting decisions, indicating that greedy actions may provide positive effects depending on the given environment. In this study, we demonstrate a mixed strategy of entangled- and correlated-photon-based decision-making so that total rewards can be enhanced when compared to the entangled-photon-only decision strategy. We show that an optimal mixture of entangled- and correlated-photon-based strategies exists depending on the dynamics of the reward environment as well as the difficulty of the given problem. This study paves the way for utilizing both quantum and classical aspects of photons in a mixed manner for decision making and provides yet another example of the supremacy of mixed strategies known in game theory, especially in evolutionary game theory.


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