Search results for "NOVELTY"
showing 10 items of 135 documents
Crowding-out effect and sorting in competitive labour markets with motivated workers
2018
ABSTRACTThis article makes a contribution to the economics literature by inducing proper self-selection into contracts based on workers’ motivation. The novelty of our results is that it points out the alternative potential role of the crowding-out effect to separate workers based on their motivation.
Cyberloafing and cyberslacking in the workplace: systematic literature review of past achievements and future promises
2021
PurposeScholars are increasingly focusing on the adverse effects of digitization on human lives in personal and professional contexts. Cyberloafing is one such effect and digitization-related workplace behavior that has garnered attention in both academic and mainstream media. However, the existing literature is fragmented and needs to be consolidated to generate a comprehensive and contemporary overview of cyberloafing research and map its current intellectual boundaries. The purpose of this paper is to shed some light on systematic literature review (SLR) in cyberloafing and cyberslacking in the workplace.Design/methodology/approachA SLR is conducted to assimilate the existing research. A…
Business strategy in new high‐tech ventures: an empirical analysis
1999
The aim of this study is to determine the existence of specific and unique features characterising markets, activities and customers in at least two of the most representative high technology sectors nowadays, the microelectronics/software industry and the biotechnology/biomedical industry. Cross‐Tabs statistical method has been used to analyze the data collected from the sample made up by 18 high‐tech American firms. One of the major findings of this study is that the business strategy will hold better prospects in those high‐tech firms benefiting from a higher technological excellence, having spent longer time in developing and launching their products, being able to keep longer the novel…
THE ROLE OF PUBLIC ADMINISTRATION INSTITUTIONS IN IMPROVED APPROACHES TO MODERN LABOUR FORCE TRAINING
2012
The current research is aimed at studying the role of public administration institutions in securing improved approaches towards modern labour force training. More specifically, the research is being targeted at the existing and emerging institutional approaches (mechanisms) for a comprehensive treatment of the problem of labour market skills in relation to ‘innovation capable’ labour force. The presupposition behind the research is that the relatively weak links between the higher education and research system and the vocational education and training system may be a potential obstacle for the training of ‘innovation capable’ workforce at all levels. To study the problem, the opinions of t…
Assistive robotic walker parameter identification for estimation of human thrust without force sensors
2017
In this paper we propose a parameter identification procedure for the wheel-motor dynamic of a robotic walker, i.e. a commercial trolley for elderly people endowed with cognitive, sensing and guidance capabilities. The objective of the wheel-motor dynamic model is to generate a suitable time reference to be used in an estimation algorithm. The ultimate goal of the estimation algorithm is to retrieve the thrust, i.e. torque and force, that the older adult user of the robotic walker applies to the platform. These quantities are of paramount importance in order to adopt intelligent and comfortable walker guidance algorithms. The novelty of this approach is the avoidance of additional costly se…
Latent segmentation in business-to-business based on information and communication technology and relationship variables
2016
Our work is focused on the segmentation analysis in the Spanish tourist industry. Using a sample of travel agencies who evaluated the relationship with their main supplier (relationship value, relationship benefits and perceived information and communication technologies (ICTs) use), we attempt to examine the utility of these variables as specific and subjective segmentation criteria for identifying heterogeneous groups. The estimation of a finite mixture model suggests that these bases are able to discriminate firms into six latent classes with different levels of ICT use and relationship variables. The novelty in this work lies in the application of latent segmentation methodology and th…
Fostering novelty while reducing failure: Balancing the twin challenges of product innovation
2016
This paper aims to further our understanding of how the degrees of innovation novelty and innovation failure are connected. It argues that a better understanding of the specific predictors of innovation novelty and failure would improve our understanding of the innovation process and inform R&D managerial interventions to reduce the occurrences of failure and enhance radical innovation. This investigation draws on data on 5387 Spanish manufacturing firms from the 2009 Spanish Community Innovation Survey (CIS). Unlike prior studies which examine product innovation, degree of innovation novelty, and innovation failures in separate models, this study relies on a multivariate model to account f…
Observing animals and humans : dogs target their gaze to the biological information in natural scenes
2020
Background This study examines how dogs observe images of natural scenes containing living creatures (wild animals, dogs and humans) recorded with eye gaze tracking. Because dogs have had limited exposure to wild animals in their lives, we also consider the natural novelty of the wild animal images for the dogs. Methods The eye gaze of dogs was recorded while they viewed natural images containing dogs, humans, and wild animals. Three categories of images were used: naturalistic landscape images containing single humans or animals, full body images containing a single human or an animal, and full body images containing a pair of humans or animals. The gazing behavior of two dog populations,…
Deep Generative Model-Driven Multimodal Prostate Segmentation in Radiotherapy
2019
Deep learning has shown unprecedented success in a variety of applications, such as computer vision and medical image analysis. However, there is still potential to improve segmentation in multimodal images by embedding prior knowledge via learning-based shape modeling and registration to learn the modality invariant anatomical structure of organs. For example, in radiotherapy automatic prostate segmentation is essential in prostate cancer diagnosis, therapy, and post-therapy assessment from T2-weighted MR or CT images. In this paper, we present a fully automatic deep generative model-driven multimodal prostate segmentation method using convolutional neural network (DGMNet). The novelty of …
Atypical perceptual narrowing in prematurely born infants is associated with compromised language acquisition at 2 years of age
2010
Abstract Background Early auditory experiences are a prerequisite for speech and language acquisition. In healthy children, phoneme discrimination abilities improve for native and degrade for unfamiliar, socially irrelevant phoneme contrasts between 6 and 12 months of age as the brain tunes itself to, and specializes in the native spoken language. This process is known as perceptual narrowing, and has been found to predict normal native language acquisition. Prematurely born infants are known to be at an elevated risk for later language problems, but it remains unclear whether these problems relate to early perceptual narrowing. To address this question, we investigated early neurophysiolog…