Search results for "attribute rating"

showing 3 items of 3 documents

Prioritisation of alternatives with analytical hierarchy process plus response latency and web surveys

2014

This paper introduces a new method that combines the well-known analytical hierarchy process (AHP) with a response latency metric. The response latency is the time taken by respondents to make choices over pairwise comparisons. The analytical calculation of relative importance weights of the alternatives is made by using a response latency model previously validated in several case studies. This combination aims to overcome some drawbacks of the traditional AHP related to the use of a rating scale (the so-called Saaty scale), and it is a natural way to involve response latency in established decisionmaking methods. This new method can be profitably adopted in web surveys where it is easy to…

Settore SECS-S/02 - Statistica Per La Ricerca Sperimentale E Tecnologicabusiness.industryComputer scienceattribute ratingAnalytic hierarchy processrelative importance weightweb surveysMachine learningcomputer.software_genreGeneral Business Management and Accountingresponse latencyanalytical hierarchy proceRating scaleRespondentEconometricspairwise comparisonPairwise comparisonArtificial intelligenceLatency (engineering)New service developmentbusinesscomputerprioritisationTotal Quality Management & Business Excellence
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A heuristic method for estimating attribute importance by measuring choice time in a ranking task

2012

The evaluation of a product or service in terms of its attributes has been broadly studied in marketing, management and decision sciences. However, methods for finding important attributes have theoretical and practical limitations. The former are related to the selection of the most appropriate model; the latter are due to large number of variables that affect the specific experimental context. This study aims to present a new methodology that captures attribute preferences from a respondent and in particular, by using the choice time in a ranking task, it allows to indirectly obtain the importance weights for several tested attributes through a simple, fast and inexpensive procedure. More…

Statistics and ProbabilityEconomics and EconometricsService (systems architecture)HeuristicComputer scienceSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaVariable and attributeContext (language use)computer.software_genreTask (project management)RankingRespondentData miningStatistics Probability and UncertaintySettore SECS-S/01 - StatisticacomputerFinanceSelection (genetic algorithm)CHOICE TIME response time response latency attribute rating choice models
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ESTIMATION OF ATTRIBUTE IMPORTANCE BY CHOICE TIME IN A RANKING TASK

2010

The evaluation of the quality of products and services as a function of their attributes has been broadly implemented in marketing research. The current methods for identifying important attributes and prioritize them suffer from theoretical and practical limitations. The former are related to the choice of the most appropriate model for the specific experimental context, the latter are due to the large amount of variables (cognitive, context and survey variables) affecting the chosen model. This work aims at presenting a new method for capturing consumer attribute preferences and estimating the relative importance weights by using the choice time in a ranking task. All is made through an e…

response latencychoice timeSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E Tecnologicaattribute ratingresponse timechoice models
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