Search results for "Project"

showing 10 items of 3466 documents

Organizational innovation as an enabler of technological innovation capabilities and firm performance

2014

Abstract This study assesses the relationship between organizational innovation and technological innovation capabilities, and analyzes their effect on firm performance using a resource-based view theoretical framework. The article presents empirical evidence from a survey of 144 Spanish industrial firms and modeling of a system of structural equations using partial least squares. The results confirm that organizational innovation favors the development of technological innovation capabilities and that both organizational innovation and technological capabilities for products and processes can lead to superior firm performance.

MarketingResource (project management)Organizational innovationCommerceTechnological changeEnablingInnovation managementBusinessEmpirical evidenceOrganizational performanceIndustrial organizationJournal of Business Research
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Conversion rate determinants in e-commerce websites. What about moderation effects?

2018

Online retailers invest significant resource to improve conversion rates, defined as the proportion of website visitors that make a purchase. Using 1,184 observations from six e-commerce websites, this paper aims to analyse conversion rate determinants, also considering moderation effects of seasonality and webpage speed of load. Results show that free shipping and discounts policy have a positive effect on the conversion rate, moderated by seasonality and load speed. These finding could be useful guidelines for e-commerce managers in order to allocate their limited resources to the most relevant factor to increase online sales.

MarketingResource (project management)business.industryOrder (business)Ordinary least squaresBusinessE-commerceBusiness and International ManagementMarketingModerationLimited resourcesManagement Information SystemsInternational Journal of Electronic Marketing and Retailing
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Collaborating to innovate: Effects on customer knowledge management and performance

2015

Abstract Scholars regard customer knowledge management (CKM) as a strategic resource for businesses to improve innovation, facilitate the detection of new market opportunities, and support long-term customer relationship management. However, literature suffers from a lack of understanding of customer collaboration's role in the innovation process and innovation orientation in CKM. Accordingly, this paper tests a model examining how both variables act as antecedents of CKM. The model also explores CKM and customer collaboration's effect on marketing results. Findings have important academic and managerial implications, and show that collaboration with customers and openness to innovation are…

MarketingVoice of the customerCustomer retentionCustomer advocacyResource (project management)Knowledge managementbusiness.industryMarketingCustomer relationship managementCustomer to customerbusinessCustomer intelligenceRelationship marketingJournal of Business Research
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The role of fundamental motivations in willingness-to-pay online

2020

Abstract This study aims to determine whether an understanding of chronic fundamental consumer motivations can help determine the mechanisms of willingness-to-pay for products online. To do so, it employs a simulated buying task on a fictional e-commerce site for a consumer product (branded either as a “new arrival” or a “classic”) to investigate the effects of two fundamental motivations (mate acquisition vs. self-protection) on willingness-to-pay for the product online. The primary focus of the paper to investigate the capacity of mate acquisition and self-protection motives to moderate the relationship between attitude toward the product and willingness-to-pay, as well as, the effects of…

MarketingWillingness to pay0502 economics and business05 social sciences050211 marketingContext (language use)Product (category theory)PsychologyProduct typeSocial psychology050203 business & managementTask (project management)Journal of Retailing and Consumer Services
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Towards a real-time 3D shape reconstruction using a structured light system

2005

This paper deals with 3D shape reconstruction using a structured light system (SLS) which projects a matrix of laser rays onto the scene to be analyzed. The intrinsic problem of such a system is the correspondence problem solving, which in this particular case amounts to matching up the imaged spots and the originating laser rays. In this paper, we propose a method for automatically obtaining configurations of the system (COS) (i.e. the relative positions of the camera, laser projector, and measuring scene) that permit to achieve a direct and unambiguous correspondence. After, we propose a splitting cell algorithm, which efficiently performs a real-time correspondence procedure. Experimenta…

Matching (graph theory)business.industryComputer science3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONLaserlaw.inventionLaser projectorMatrix (mathematics)Artificial IntelligencelawSignal ProcessingComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessShape reconstructionCorrespondence problemSoftwareStructured lightPattern Recognition
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Selecting information to answer questions: Strategic individual differences when searching texts

2011

The purpose of the study was to explore students’ selection of information strategies in a task-oriented reading situation. 72 secondary school students read two texts and answered six questions per text, three of which were manipulated to induce a misleading matching between the wording of the question and distracting pieces of information in the text. The reading and question-answering were presented with the software Read&Answer. We analyzed how skilled and less-skilled comprehenders were attracted to the distracting pieces of information and how this affected reading patterns and task outcomes. Skilled comprehenders scored higher and were able to discard the distracting information. In …

Matching (statistics)CommunicationSocial Psychologybusiness.industrymedia_common.quotation_subjectContrast (statistics)EducationTask (project management)ComprehensionReading comprehensionReading (process)ComputingMilieux_COMPUTERSANDEDUCATIONDevelopmental and Educational PsychologySelection (linguistics)Question answeringPsychologybusinessCognitive psychologymedia_commonLearning and Individual Differences
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Which Is Which? Evaluation of Local Descriptors for Image Matching in Real-World Scenarios

2019

Matching with local image descriptors is a fundamental task in many computer vision applications. This paper describes the WISW contest held within the framework of the CAIP 2019 conference, aimed at benchmarking recent descriptors in challenging planar and non-planar real image matching scenarios. According to the contest results, the descriptors submitted to the competition, most of which based on deep learning, perform significantly better than the current state-of-the-art in image matching. Nonetheless, there is still room for improvement, especially in the case of non-planar scenes.

Matching (statistics)Computer scienceDeep descriptorVisual descriptorsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology010501 environmental sciencesMachine learningcomputer.software_genreCONTEST01 natural sciencesTask (project management)Local image descriptors0202 electrical engineering electronic engineering information engineering0105 earth and related environmental sciencesSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniLocal image descriptors Image matching Deep descriptorsImage matchingSettore INF/01 - Informaticabusiness.industryImage matchingDeep learningBenchmarkingReal image020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer
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What is the validity of the sorting task for describing beers? A study using trained and untrained assessors

2008

In the sensory evaluation literature, it has been suggested that sorting tasks followed by a description of the groups of products can be used by consumers to describe products, but a closer look at this literature suggests that this claim needs to be evaluated. In this paper, we proposed to examine the validity of the sorting task to describe products by trained and untrained assessors. The experiment reported here consisted in two parts. In a first part, participants sorted nine commercial beers and then described each group with their own words or with a list of terms. In a second part, participants were asked to match each beer with one of their own sets of descriptors. The matching tas…

Matching (statistics)Nutrition and DieteticsComputer sciencebusiness.industrymedia_common.quotation_subjectSortingcomputer.software_genreTask (project management)PerceptionArtificial intelligencebusinesscomputerNatural language processingFood Sciencemedia_commonFood Quality and Preference
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Do trained assessors generalize their knowledge to new stimuli?

2005

Previous work showed that trained assessors are better at discriminating and describing familiar chemico-sensorial stimuli than novices. In this study, we evaluated whether this superiority holds true for new stimuli. We first trained a group of subjects to characterize beer flavors over a two year period. After training was accomplished, we compared the performance of these trained assessors with the performance of novice subjects for discrimination and matching tasks. The tasks were performed using both well-learned and new beers. Trained assessors outperformed novices in the discrimination task for learned beers but not for new beers. But on the matching task, trained assessors outperfor…

Matching (statistics)Nutrition and Dieteticsbusiness.industryVerbal learningMachine learningcomputer.software_genreTask (project management)Perceptual learningGeneralization (learning)Cognitive learningArtificial intelligencebusinessPsychologycomputerFood ScienceCognitive psychologyFood Quality and Preference
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Robot passes the mirror test by inner speech

2021

Abstract The mirror test is a well-known task in Robotics. The existing strategies are based on kinesthetic-visual matching techniques and manipulate perceptual and motion data. The proposed work attempts to demonstrate that it is possible to implement a robust robotic self-recognition method by the inner speech, i.e. the self-dialogue that enables reasoning on symbolic information. The robot self-talks and conceptually reasons on the symbolic forms of signals, and infers if the robot it sees in the mirror is itself or not. The idea is supported by the existing literature in psychology, where the importance of inner speech in self-reflection and self-concept emergence for solving the mirror…

Matching (statistics)business.industryComputer scienceGeneral Mathematicsmedia_common.quotation_subjectRoboticsCognitive architectureInner speech Cognitive architecture Robot mirror test Conceptual reasoningMotion (physics)Computer Science ApplicationsTask (project management)Control and Systems EngineeringPerceptionRobotComputer visionArtificial intelligencebusinessMirror testSoftwaremedia_common
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