O LOKOWANIU PRODUKTU JAKO ELEMENCIE STRATEGII REKLAMOWEJ NA PRZYKŁADZIE POLSKIEGO SERIALU PRZYJACIÓŁKI

2016 ◽  
Vol 9 (1) ◽  
pp. 7-21
Author(s):  
Dominika Agata Myślak
Keyword(s):  
Strong Influence ◽  
Real Life ◽  
Product Placement ◽  
Final Decision ◽  
Single Episode ◽  
Series Fiction ◽  
Tv Shows

Product placement is an example of a popular form of advertising characteristic for thePolish TV shows. Film and TV writers in Poland are keen on using this method also in TV shows.As product placement has got a strong influence on the audience, the viewers perceive the filmreality as the reflection of real life. TV series fiction in turn influences the consumerist preferencesof the adresses. The strategy of product placement in the Polish TV series, however, still leavesmuch to be desired as directors find it difficult to apply the method to suitable scenes in a subtleway. It happens that the product being placed remains onscreen for too long, the number of theproducts per single episode is too high and the dialogues aimed at highlighting the advantages ofgiven products seem too artificial. All those actions have a negative result on the final decision ofthe viewers on whether to buy the advertised goods or not.

scholarly journals A Game Theoretic Model of Choosing a Valuable Good via a Short List Heuristic

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 199 ◽  
Author(s):  
David M. Ramsey
Keyword(s):  
Real Life ◽  
Decision Makers ◽  
The Internet ◽  
Theoretic Model ◽  
Final Decision ◽  
Search Procedure ◽  
Short List ◽  
Game Theoretic ◽  
Game Theoretic Model ◽  
High Level

The Internet gives access to a huge amount of data at the click of a mouse. This is very helpful when consumers are making decisions about which product to buy. However, the final decision to purchase is still generally made by humans who have limited memory and perception. The short list heuristic is often used when there are many offers on the market. Searchers first find information about offers via the Internet and on this basis choose a relatively small number of offers to view in real life. Although such rules are often used in practice, little research has been carried out on determining, for example, what the size of the short list should be depending on the parameters of the problem or modelling how the short list heuristic can be implemented when there are multiple decision makers. This article presents a game theoretic model of such a search procedure with two players. These two players can be interpreted, for example, as a couple searching for a flat or a second-hand car. The model indicates that under such a search procedure the roles of searchers should only be divided when the preferences of the players are coherent or there is a high level of goodwill between them. In other cases, dividing the roles leads to a high level of conflict.

scholarly journals National Guidelines for Cognitive Assessment and Rehabilitation of Iranian Traumatic Brain Injury Patients

2020 ◽  
Vol 23 (12) ◽  
pp. 813-820
Author(s):  
Heshmatollah Ghawami ◽  
Seyed Behnam Jazayeri ◽  
Azad Sabeti Nowsud ◽  
Mahdi Sharif-Alhoseini ◽  
Armin Shirvani ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Cognitive Assessment ◽  
Cognitive Rehabilitation ◽  
Selection Process ◽  
Real Life ◽  
Rehabilitation Service ◽  
Final Decision ◽  
National Guidelines ◽  
Clinical Scenarios

Background: Individuals with moderate to severe traumatic brain injury (TBI) often have prolonged cognitive impairments, resulting in long-term problems with their real-life activities. Given the urgent need for evidence-based recommendations for neuropsychological management of Iranian TBI patients, the current work aimed to adapt eligible international guidelines for cognitive assessment and rehabilitation of the TBI patients in Iran. Methods: The project was led by an executive committee, under the supervision of the Iranian Ministry of Health and Medical Education (MOHME). Following a systematic literature search and selection process, four guidelines were included for adaptation. Clinical recommendations of the source guidelines were tabulated as possible clinical scenarios for 90 PICO clinical questions covering all relevant phases of care. After summing up the scenarios, our initial list of recommendations was drafted according to the Iranian patients’ conditions. The final decision-making, with the contribution of a national interdisciplinary panel of 37 experts from across the country, was conducted in two rounds using online and offline survey forms (Round 1), and face-to-face and telephone meetings (Round 2). Results: A total of 63 recommendations in six sections were included in the final list of recommendations, among which 24 were considered as key recommendations. In addition, some of the recommendations were identified as fundamental, meaning that proper implementation of the other recommendations is largely dependent on their implementation. Conclusion: Iranian health policy makers and rehabilitation program managers are recommended to address some fundamental issues to provide the necessary infrastructure to set up an efficient cognitive rehabilitation service system.

scholarly journals Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study (Preprint)

2020 ◽  
Author(s):  
Roman C Maron ◽  
Jochen S Utikal ◽  
Achim Hekler ◽  
Axel Hauschild ◽  
Elke Sattler ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Personal Experience ◽  
Real Life ◽  
Survey Study ◽  
Final Decision ◽  
Web Based ◽  
Additional Information ◽  
Control Step ◽  
Average Confidence ◽  
The Mean

BACKGROUND Early detection of melanoma can be lifesaving but this remains a challenge. Recent diagnostic studies have revealed the superiority of artificial intelligence (AI) in classifying dermoscopic images of melanoma and nevi, concluding that these algorithms should assist a dermatologist’s diagnoses. OBJECTIVE The aim of this study was to investigate whether AI support improves the accuracy and overall diagnostic performance of dermatologists in the dichotomous image–based discrimination between melanoma and nevus. METHODS Twelve board-certified dermatologists were presented disjoint sets of 100 unique dermoscopic images of melanomas and nevi (total of 1200 unique images), and they had to classify the images based on personal experience alone (part I) and with the support of a trained convolutional neural network (CNN, part II). Additionally, dermatologists were asked to rate their confidence in their final decision for each image. RESULTS While the mean specificity of the dermatologists based on personal experience alone remained almost unchanged (70.6% vs 72.4%; <i>P</i>=.54) with AI support, the mean sensitivity and mean accuracy increased significantly (59.4% vs 74.6%; <i>P</i>=.003 and 65.0% vs 73.6%; <i>P</i>=.002, respectively) with AI support. Out of the 10% (10/94; 95% CI 8.4%-11.8%) of cases where dermatologists were correct and AI was incorrect, dermatologists on average changed to the incorrect answer for 39% (4/10; 95% CI 23.2%-55.6%) of cases. When dermatologists were incorrect and AI was correct (25/94, 27%; 95% CI 24.0%-30.1%), dermatologists changed their answers to the correct answer for 46% (11/25; 95% CI 33.1%-58.4%) of cases. Additionally, the dermatologists’ average confidence in their decisions increased when the CNN confirmed their decision and decreased when the CNN disagreed, even when the dermatologists were correct. Reported values are based on the mean of all participants. Whenever absolute values are shown, the denominator and numerator are approximations as every dermatologist ended up rating a varying number of images due to a quality control step. CONCLUSIONS The findings of our study show that AI support can improve the overall accuracy of the dermatologists in the dichotomous image–based discrimination between melanoma and nevus. This supports the argument for AI-based tools to aid clinicians in skin lesion classification and provides a rationale for studies of such classifiers in real-life settings, wherein clinicians can integrate additional information such as patient age and medical history into their decisions.

scholarly journals Statistical reproducibility for pairwise t-tests in pharmaceutical research

2021 ◽  
pp. 096228022110417
Author(s):  
Andrea Simkus ◽  
Frank PA Coolen ◽  
Tahani Coolen-Maturi ◽  
Natasha A Karp ◽  
Claus Bendtsen
Keyword(s):  
Pharmaceutical Research ◽  
Real Life ◽  
Pairwise Comparisons ◽  
Predictive Inference ◽  
Final Decision ◽  
Test Statistics ◽  
Inference Problem ◽  
Nonparametric Predictive Inference ◽  
Alternative Hypotheses ◽  
The Relationship

This paper investigates statistical reproducibility of the [Formula: see text]-test. We formulate reproducibility as a predictive inference problem and apply the nonparametric predictive inference method. Within our research framework, statistical reproducibility provides inference on the probability that the same test outcome would be reached, if the test were repeated under identical conditions. We present an nonparametric predictive inference algorithm to calculate the reproducibility of the [Formula: see text]-test and then use simulations to explore the reproducibility both under the null and alternative hypotheses. We then apply nonparametric predictive inference reproducibility to a real-life scenario of a preclinical experiment, which involves multiple pairwise comparisons of test groups, where different groups are given a different concentration of a drug. The aim of the experiment is to decide the concentration of the drug which is most effective. In both simulations and the application scenario, we study the relationship between reproducibility and two test statistics, the Cohen’s [Formula: see text] and the [Formula: see text]-value. We also compare the reproducibility of the [Formula: see text]-test with the reproducibility of the Wilcoxon Mann–Whitney test. Finally, we examine reproducibility for the final decision of choosing a particular dose in the multiple pairwise comparisons scenario. This paper presents advances on the topic of test reproducibility with relevance for tests used in pharmaceutical research.

scholarly journals Police Identification of the Perpetrator of the Criminal Act

2020 ◽  
Vol 1 (1) ◽  
Keyword(s):  
Real Life ◽  
Criminal Offense ◽  
Tv Shows

Police identification has an extremely important role in solving any criminal offense, ie in discovering its perpetrator. Police identification is often shown on TV shows and in movies. A group of suspects are brought into the room and the witness recognizes the perpetrator. In real life, identifications with the suspects present are rarely carried out as they are portrayed in TV shows and in movies. Instead, photo recognition is used. Photographs of the suspect are shown along with photographs of some other persons and the witness is asked to identify the person suspected by the police.

Vague words in Law in Order: Special Victims Unit

2014 ◽  
Vol 7 ◽  
pp. 112
Author(s):  
Jonnathas Vieira ◽  
Paula Lança
Keyword(s):  
English Language Learners ◽  
Language Learners ◽  
English Language ◽  
Language Use ◽  
Real Life ◽  
Law And Order ◽  
Real Language ◽  
Tv Shows ◽  
Vague Language ◽  
Tv Show

TV series have been a source of input for English language learners, especially the ones interested in real language use. There are studies that show how close to real life some TV shows are (ORFANO, 2010). For this study a corpus of a TV series - Law and Order: Special Victims Unit (SVU) - was compiled. This corpus is composed of 6 episodes (44.400 words). The analysis considered that every Law and Order episode carries investigation and court scenes. The main point of this investigation is to analyze the use of vague words such as any, anything, anyone, anybody, anyway, and anywhere in the TV show. An analysis of the episodes showed that these words occurred 139 times with a frequency distribution that varied in the investigation and court scenes. The results may reveal that more formal contexts, represented in the TV series by the court scenes, do not favor the use of vague language. In such argumentative contexts speakers tend to be more precise.

Doubly Extended Fuzzy TOPSIS Method for Group Decision Making

2019 ◽  
Vol 66 (1) ◽  
pp. 27-50
Author(s):  
Dariusz Kacprzak
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Group Decision Making ◽  
Group Decision ◽  
Real Life ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Final Decision ◽  
Topsis Method ◽  
Decision Matrix

Multiple Criteria Decision Making methods, such as TOPSIS, have become very popular in recent years and are frequently applied to solve many real-life situations. However, the increasing complexity of the decision problems analysed makes it less feasible to consider all the relevant aspects of the problems by a single decision maker. As a result, many real-life problems are discussed by a group of decision makers. In such a group each decision maker can specialize in a different field and has his/her own unique characteristics, such as knowledge, skills, experience, personality, etc. This implies that each decision maker should have a different degree of influence on the final decision, i.e., the weights of decision makers should be different. The aim of this paper is to extend the fuzzy TOPSIS method to group decision making. The proposed approach uses TOPSIS twice. The first time it is used to determine the weights of decision makers which are then used to calculate the aggregated decision matrix for all the group decision matrices provided by the decision makers. Based on this aggregated matrix, the extended TOPSIS is used again, to rank the alternatives and to select the best one. A numerical example illustrates the proposed approach.

scholarly journals The Effect of Natural Celebrity–Brand Association and Para-Social Interaction in Advertising Endorsement for Sustainable Marketing

2020 ◽  
Vol 12 (15) ◽  
pp. 6215
Author(s):  
Ke Zhang ◽  
Kineta Hung
Keyword(s):  
Social Media ◽  
Social Interaction ◽  
Real Life ◽  
Product Placement ◽  
Marketing Strategies ◽  
Effective Strategy ◽  
Brand Association ◽  
Frequent Use ◽  
Sustainable Marketing ◽  
Boot Strapping

Celebrity endorsement has been regarded as an effective strategy for enterprises to implement sustainable marketing strategies. However, frequent use of celebrity ads renders consumers skeptical of the ads’ and celebrity’s profit-making intent, which may adversely affect the sustainable marketing of the brand. This has given rise to “natural celebrity-brand association” that features celebrities using the brand in real-life settings, which is usually presented on social media rather than mass media. Using a boot-strapping approach, the study contrasts the effects of natural and commercial endorsements (i.e., natural vs. advertising, natural vs. product placement) on consumer brand responses. Results showed that natural celebrity–brand association exerts superior effects. Further, the mediating variables, para-social interaction (PSI) and its drivers (celebrity attractiveness, consumers’ perceived homophily with the celebrity), which reflect consumer’s emotional connection with a celebrity, also exert significantly stronger effects in the natural (vs. commercial) endorsement context. This research provides insights for advertisers and marketers in exploring new patterns of brand presentation forms in advertisements and gaining competitive advantage in sustainable marketing.

scholarly journals Warehouse location selection with TOPSIS group decision-making under different expert priority allocations

2020 ◽  
Vol 12 (4) ◽  
pp. 22-39
Author(s):  
Lanndon Ocampo ◽  
Gianne Jean Genimelo ◽  
Jerome Lariosa ◽  
Raul Guinitaran ◽  
Philip John Borromeo ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Real Life ◽  
Distribution Networks ◽  
Multiple Criteria ◽  
Decision Makers ◽  
Final Decision ◽  
Location Selection ◽  
Warehouse Location

Abstract Warehouses are crucial infrastructures in supply chains. As a strategic task that would potentially impact various long-term agenda, warehouse location selection becomes an important decision-making process. Due to quantitative and qualitative multiple criteria in selecting alternative warehouse locations, the task becomes a multiple criteria decision-making problem. Current literature offers several approaches to addressing the domain problem. However, the number of factors or criteria considered in the previous works is limited and does not reflect real-life decision-making. In addition, such a problem requires a group decision, with decision-makers having different motivations and value systems. Analysing the varying importance of experts comprising the group would provide insights into how these variations influence the final decision regarding the location. Thus, in this work, we adopted the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to address a warehouse location decision problem under a significant number of decision criteria in a group decision-making environment. To elucidate the proposed approach, a case study in a product distribution firm was carried out. Findings show that decision-makers in this industry emphasise criteria that maintain the distribution networks more efficiently at minimum cost. Results also reveal that varying priorities of the decision-makers have little impact on the group decision, which implies that their degree of knowledge and expertise is comparable to a certain extent. With the efficiency and tractability of the required computations, the TOPSIS method, as demonstrated in this work, provides a useful, practical tool for decision-makers with limited technical computational expertise in addressing the warehouse location problem.

Sign in / Sign up

Export Citation Format

Share Document