1,720,963 research outputs found
AHP AND DEA: AN ALTERNATIVE APPROACH TO EVALUATING ONLINE REVIEWS
No full textThe use of the Internet and its applications has radically transformed the ways in which
consumers communicate, obtain information and make purchasing decisions. This work
aims to identify innovative solutions to facilitate and make the process of searching and
booking restaurant services by users who use digital platforms more efficient. The main
objective is to analyze the intrinsic complexity of the user’s decision-making process,
highlighting the main critical issues and difficulties with perception and possible
information distortions, in order to design a support tool capable of offering a highly
personalized and high-quality choice experience. The contribution proposes an advanced
decision-making model that integrates the use of two multi-criteria methodologies: the
Analytic Hierarchy Process (AHP) and the Data Envelopment Analysis (DEA). These
tools make it possible to simultaneously consider a multiplicity of qualitative and
quantitative criteria, configuring an evaluation much more adherent to the real
preferences of users. The combined adoption of these two approaches constitutes a
methodological innovation capable of providing each user with a dynamic, personalized
and efficient search path, significantly improving the quality of decisions and the level of
perceived satisfaction. This model, which overcomes the limitations of traditional
recommendation systems based on simple averages is proposed as a reference tool for the
design of online platforms dedicated to catering, with potential extensions to other
service sectors
Multi-Criteria Decision Making in Industry 4.0: a Systematic Literature Review and Bibliometric Analysis
No full textModeling false consensus
No full textA relevant component in the research on human reasoning is dominated by demonstrations of the
errors people make in various judgment and decision making tasks. In group decision making
problems, given the importance of obtaining an accepted solution by the whole group, the
consensus has attained a great attention and it is virtually a major goal of these problems. In our
study, the main novelty of the consensus model, which is modeled within fuzzy set theory by
ordered weighted averaging operators, is that of being guided by both consensus and false
consensus effects. False consensus refers to an egocentric bias that occurs when people estimate
consensus for their own behaviors. The paper investigates the impact of the subjective contribution
that cannot be eliminated: it seems hard that in a pool of experts none tends to overestimate own
proper opinions, likely an expert necessarily is egocentric, just because he is an expert. What
implies the presence of some false consensus effect
Comparison of aggregation methods used in online reviews: a critical analysis.
Full text linkWith digitalization, online reviews have become a crucial component of consumer decisions and are an important source of feedback on products and services. Users can make informed choices using online review systems such as e-commerce platforms,
social media, and others. However, the collection and analysis of these reviews raises a number of questions regarding reliability, representativeness and accuracy. Since they
directly influence users' choices, the methods used to aggregate review scores are extremely important. In this article, we explore the most common aggregation methods for rating online reviews on the Amazon platform, with a particular focus on the
arithmetic mean. Although these methods are easy to implement, they do not always accurately reflect the overall quality of a product. We then critically analyze how more sophisticated approaches can minimize some of the limitations of the mean, such as the
so-called recency bias; propose more robust solutions and alternative approaches that can provide a more accurate representation of the overall rating, improving the quality of aggregated ratings
Comparing inconsistency of pairwise comparison matrices depending on entries.
No full textPairwise comparisons have been a long-standing technique for comparing alternatives/criteria and their role has been pivotal in the development of modern decision-making methods. Since several types of pairwise comparison matrices (e.g., multiplicative, additive, fuzzy) are proposed in literature, in this paper, we investigate, for which type of matrix, decision-makers are more coherent when they express their subjective preferences. By performing an experiment, we found that the additive approach provides the worst level of coherence
Checking consistency for Group-PAHP: a case study of tourism facilities in COVID-19 pandemic
No full textThe pandemic situation due COVID-19 highlighted a great vulnerability of tourism systems in the world, defined a scenario characterized by strong uncertainties, unfavorable prospects and widespread fragility (Michie 2020). Our work proposes the use of Multi-Criteria Decision Aiding (MCDA) for analyzing the potentiality of local territory development through the improvement of the tourism facilities. More precisely, we propose the use of the Parsimonious AHP (Abastante et al. 2019) for group choices to analyze a decision-making problem for the improvement of tourism facilities. As the complexity of the decision-making problem and the number of decision-makers grow, there may be problems of consistency of judgments and therefore problems of consistency of the matrices (Brunelli and Cavallo 2020a). Consistency is difficult to achieve in the real situation (Maturo et al. 2005). Our work aims to verify in a 4-step process the errors of consistency that occurs in Pairwise Comparison Matrices with the use of Parsimonious AHP for group choices. Furthermore, we propose a new innovative tool for decision makers to tackle complex problems, with multiple decision categories, a large number of alternatives and several criteria
Using Electre to analyze the behaviour of economic agents.
No full textAccording to behavioural finance, economic agents display cognitive bias, heuristics and emotional factors that generate
preferences which systematically violate the rationality assumptions of the normative model of classical decision theory.
Rather than maximizing the expected utility, representing the optimal choice, they attempt to accept a satisfactory solution.
Morton and Fasolo (J Oper Res Soc 60:268–275, 2009) outlined some behavioural findings relevant to the practice of
multicriteria approach. In this paper, we propose a multicriteria model for analysing some experiments proposed by
Kahneman and Tversky (Econometrica 47:263–29 l, 1979). Our aim is to verify whether a multicriteria tool reduces or
minimizes cognitive biases. We focus on ELECTRE due to its main features: it accepts the violation of some mathematical
axioms. By a simulation study, we represent a set of prospects by means of decision matrices: the prospects are considered
as alternatives, the events as criteria, the probabilities of events as the weights assigned to criteria. Then, we apply
ELECTRE to verify whether the preference ranking among the alternatives confirms the results obtained by Kahneman–
Tversky, that is, whether it is able to describe the emotional behaviours of economic agents
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
- …
