Search results for "Joint analysis"

showing 10 items of 32 documents

Conjoint Analysis as an Instrument of Market Research Practice

2007

The essay by the psychologist, Luce, and the statistician, Tukey (1964) can be viewed as the origin of conjoint analysis (Green and Srinivasan 1978; Carroll and Green 1995). Since its introduction into marketing literature by Green and Rao (1971) as well as by Johnson (1974) in the beginning of the 1970s, conjoint analysis has developed into a method of preference studies that receives much attention from both theoreticians and those who carry out field studies. For example, Cattin and Wittink (1982) report 698 conjoint projects that were carried out by 17 companies included in their survey in the period from 1971 to 1980. For the period from 1981 to 1985, Wittink and Cattin (1989) found 66…

Market researchbusiness.industryEconomicsConsumer researchMarketingbusinessPreference (economics)StatisticianConjoint analysisConjoint model
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A conjoint analysis of customers' preferences for e-banking channels

2021

Internet has transformed the manner in which banks interact with the customers. The purpose of the paper is to measure customers' preferences towards different channel attributes namely: internet banking, mobile banking and payment portals at a composite level that reflect the relative importance of usage attributes, i.e., payment type, transaction size, motivation to use and rate of urgency. Conjoint analysis was applied to estimate utilities for these attributes and to determine the existence of consumer groups with similar preference profiles. Furthermore, our study shows that the most preferred combination of utilities are customers preference to use payment portal, for 'paying bills' o…

MarketingMobile bankingbusiness.industrymedia_common.quotation_subjectAdvertisingE-commercePaymentPreferenceConjoint analysisManagement Information SystemsThe InternetBusiness and International ManagementbusinessDatabase transactionCommunication channelmedia_commonInternational Journal of Electronic Marketing and Retailing
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Constrained Clusterwise Linear Regression

2005

In market segmentation, Conjoint Analysis is often used to estimate the importance of a product attributes at the level of each single customer, clustering, successively, the customers whose behavior can be considered similar. The preference model parameter estimation is made considering data (usually opinions) of a single customer at a time, but these data are usually very few as each customer is called to express his opinion about a small number of different products (in order to simplify his/her work). In the present paper a Constrained Clusterwise Linear Regression algorithm is presented, that allows simultaneously to estimate parameters and to cluster customers, using, for the estimati…

Mathematical optimizationMarket segmentationOrder (exchange)Computer scienceProduct (mathematics)Small numberLinear regressionCluster analysisPreferenceConjoint analysis
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Crisis del Estado Social en Europa: efectos en la generación del constitucionalismo social en América Latina

2018

Crisis del Estado Social en Europa: efectos en la generación del constitucionalismo social en América Latina
 
 Resumen: En Europa el Estado social se está erosionando frente a una sociedad que por un lado está perdiendo la motivación, mientras que por otro intenta resistir. Fruto de la debilidad de las disposiciones del constitucionalismo social, el modelo europeo de Estado social experimenta un proceso de transformación del que puede salir absolutamente erosionado, o puede superarse a sí mismo a través de más democracia, una Constitución más normativa y la plena exigibilidad de los derechos sociales. En América Latina, la falta histórica de experimentación plena del Estado socia…

Microbiology (medical)Latin AmericansConstitutionmedia_common.quotation_subjectImmunologySocial rightsWelfare stateContext (language use)ConstitutionalismJoint analysisDemocracyPolitical scienceImmunology and AllergyHumanitiesmedia_commonRevista Justiça do Direito
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Investor Inattention to All-Cash Acquisition Announcements: A Joint Day-Time Analysis in the Spanish Market

2021

Prior studies suggest that investors have limited attention, which determines the speed with which information is incorporated into share prices and, in turn, affects the efficiency of the markets. Unlike other corporate events, the information contained in an acquisition announcement is generally less standard and more complicated to process. Therefore, investor inattention is less likely around this event. In this study we test the existence of investor inattention for a sample of all-cash acquisition announcements of listed and unlisted target firms released by listed Spanish firms from 1998 to 2018. Cash acquisitions allow us to control for the strategic behavior of overvalued companies…

Names of the days of the weekmedia_common.quotation_subjectGeography Planning and DevelopmentControl (management)lcsh:TJ807-830lcsh:Renewable energy sourcesSample (statistics)Monetary economicsManagement Monitoring Policy and LawJoint analysislisted status of target firmday of the weekEmpreses Finances0502 economics and businessStrategic behaviortime of the day050207 economicslcsh:Environmental sciencesmedia_commonlcsh:GE1-350050208 financeRenewable Energy Sustainability and the Environmentlcsh:Environmental effects of industries and plants05 social sciencesUnivariateMarket reactionlcsh:TD194-195Cashcash acquisition announcementinvestor inattentionBusinessSustainability
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Combined sensitivity to the neutrino mass ordering with JUNO, the IceCube Upgrade, and PINGU

2020

Physical review / D 101(3), 032006 (1-19) (2020). doi:10.1103/PhysRevD.101.032006

Physics - Instrumentation and DetectorsPhysics::Instrumentation and Detectorsantineutrino/e: energy spectrumJoint analysishiukkasfysiikka7. Clean energy01 natural sciencesString (physics)PINGUHigh Energy Physics - ExperimentSubatomär fysikHigh Energy Physics - Experiment (hep-ex)neutrino: atmosphereSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Particle Physics Experimentsneutrino: massphysics.ins-detPhysicsJUNOPhysicsneutriinotoscillation [neutrino]Instrumentation and Detectors (physics.ins-det)massa (fysiikka)atmosphere [neutrino]tensionneutrino: nuclear reactormass difference [neutrino]ddc:UpgradePhysique des particules élémentairesnuclear reactor [neutrino]proposed experimentNeutrinoperformanceParticle physicsAstrophysics::High Energy Astrophysical Phenomenaneutrino: mass differenceFOS: Physical sciencesddc:500.25300103 physical sciencesEnergy spectrumIceCube: upgradeOSCILLATIONSddc:530Sensitivity (control systems)[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsNeutrino oscillationenergy spectrum [antineutrino/e]hep-ex010308 nuclear & particles physicssensitivityPhysics and Astronomymass [neutrino]stringupgrade [IceCube]High Energy Physics::ExperimentReactor neutrinoneutrino: oscillationMATTER
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The Influence of Context-Based Complexity on Decision Processes

2011

In this chapter, we present an empirical study which investigates the influence of context-based complexity on decision processes.1 To determine context-based complexity accurately, we measure each subject’s preferences individually with two advanced techniques from marketing research: choice-based conjoint analysis (CBC, Haaijer and Wedel 2007) and pairwise-comparison-based preference measurement (PCPM, Scholz et al. 2010), rather than relying on less precise estimates of preferences. Furthermore, we use eye tracking to trace the process of information acquisition precisely. Our results show that low context-based complexity leads to less information acquisition and more alternative-wise s…

Process (engineering)business.industryComputer scienceContext (language use)Machine learningcomputer.software_genreConjoint analysisEmpirical researchBusiness decision mappingEye trackingArtificial intelligenceMarketing researchbusinesscomputerTRACE (psycholinguistics)
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Dealing with Product Similarity in Conjoint Simulations

2001

One of the reasons conjoint analysis has been so popular as a management decision tool has been the availability of a choice simulator. These simulators often arrive in the form of a software or spreadsheet program accompanying the output of a conjoint study. These simulators enable managers to perform ‘what if’ questions about their market—estimating market shares under various assumptions about competition and their own offerings. As examples, simulators can predict the market share of a new offering; they can estimate the direct and cross elasticity of price changes within a market, or they can form the logical guide to strategic simulations that anticipate short- and long-term competiti…

Product (business)Competition (economics)Cross elasticity of demandSoftwareOperations researchbusiness.industryComputer scienceSimilarity (psychology)Market sharebusinessLinear probability modelConjoint analysis
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On the Influence of the Evaluation Methods in Conjoint Design — Some Empirical Results

2000

It is the goal of conjoint analysis to explain and predict preferences of customers (Schweikl 1985). Variants of predefined manifestations of attributes of various product concepts (both real and hypothetical) are created, and these are presented to test persons for evaluation. The contributions (partial benefits) the various attributes make to overall preference (overall benefit) are estimated on the basis of overall preference judgments (Green and Srinivasan 1978).

Reservation priceOperations researchPolitical scienceEvaluation methodsEconometricsConsumer researchProduct (category theory)User friendlinessPreferenceConjoint analysis
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A weighted logistic regression for conjoint analysis and Kansei engineering

2007

Customer needs for emotional satisfaction are increasingly being considered by product and service designers. While several existing methods such as conjoint analysis (CA), Kano model and quality function deployment support the translation of customer requirements into technical specifications, researchers are now working to develop methods aimed at integrating affective aspects into product design. Kansei engineering (KE) is a design philosophy that considers customer perceptions and emotions by adopting a multi-disciplinary approach. CA is a useful tool within a KE project. This article presents a methodology for conducting a KE project in early development phases. This methodology is bas…

Service (business)EngineeringATTRIBUTE IMPORTANCEPhilosophy of designProduct designOperations researchSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E Tecnologicabusiness.industryMODELSManagement Science and Operations ResearchOF-FIT TESTScomputer.software_genreINTERIORConjoint analysisDESIGNKano modelHALOData miningOrdered logitKansei engineeringSafety Risk Reliability and QualitybusinesscomputerERRORQuality function deploymentQuality and Reliability Engineering International
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