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Consumer eco-innovation adoption : Assessing attitudinal factors and perceived product characteristics

For business and environmental reasons, increased understanding of green consumer behavior is essential. This paper addresses consumer adoption and non-adoption of a high involvement eco-innovation (the alternative fuel vehicle, AFV). The purpose is to integrate two research streams to explore factors driving and hindering adoption. The factors are rooted in environmental psychology research and t

Exploring consumer adoption of a high involvement eco-innovation using value-belief-norm theory

Environmental problems are increasingly becoming everyday issues of international organizations, national governments, and individual consumers. In consumer behavior research considerable effort has been focused on understanding environmentally significant behaviors. One such research stream uses the value-belief-norm theory (VBN) to explain and predict a number of relatively low involvement proen

Green consumer behavior : Determinants of curtailment and eco-innovation adoption

Purpose – Knowledge of green consumer behavior is important for environmental and business reasons. The purpose of this study is to examine the determinants of green curtailment behaviors and consumer adoption of innovations marketed as green (eco-innovations), and to analyze factors explaining these two types of green behaviors.Design/methodology/approach – The results from a survey on adopters a

Elucidating green consumers : A cluster analytic approach on proenvironmental purchase and curtailment behaviors

This study used a cluster analytic approach with the purpose of arriving at a nuanced picture of consumers, in relation to green purchase and curtailment behaviors. Based on Swedish car owners' values, beliefs, norms, habits, and personal capabilities, three clusters emerged that were validated using discriminant analysis: non-greens, curtailers, and ecovators. The profiling constructs showed that

KOSHIK: A large-scale distributed computing framework for NLP

In this paper, we describe KOSHIK, an end-to-end framework to process the unstructured natural language content of multilingual documents. We used the Hadoop distributed computing infrastructure to build this framework as it enables KOSHIK to easily scale by adding inexpensive commodity hardware. We designed an annotation model that allows the processing algorithms to incrementally add layers of a

Louis Vuitton in the bazaar : Negotiating the value of counterfeit goods in Shanghai's Xiangyang market

Much work on counterfeiting takes the perspective of brand holders and focuses on strategies for restricting the infringement of their intellectual property rights (IPR). This article takes a different approach. Based on long-term ethnographic fieldwork in a market bazaar in Shanghai, the article examines the way in which market participants negotiate the value of counterfeit goods. Brand holders

Combining Text Semantics and Image Geometry to Improve Scene Interpretation

Inthispaper,wedescribeanovelsystemthatidentifiesrelationsbetweentheobjectsextractedfromanimage. We started from the idea that in addition to the geometric and visual properties of the image objects, we could exploit lexical and semantic information from the text accompanying the image. As experimental set up, we gathered a corpus of images from Wikipedia as well as their associated articles. We ext

Using semantic role labeling to predict answer types

Most question answering systems feature a step to predict an expected answer type given a question. Li and Roth \cite{li2002learning} proposed an oft-cited taxonomy to the categorize the answer types as well as an annotated data set. While offering a framework compatible with supervised learning, this method builds on a fixed and rigid model that has to be updated when the question-answering domai

Mining semantics for culturomics: towards a knowledge-based approach

The massive amounts of text data made available through the Google Books digitization project have inspired a new field of big-data textual research. Named culturomics, this field has attracted the attention of a growing number of scholars over recent years. However, initial studies based on these data have been criticized for not referring to relevant work in linguistics and language technology.

Conditional ablation of myeloid TNF increases lesion volume after experimental stroke in mice, possibly via altered ERK1/2 signaling

Microglia are activated following cerebral ischemia and increase their production of the neuro- and immunomodulatory cytokine tumor necrosis factor (TNF). To address the function of TNF from this cellular source in focal cerebral ischemia we used TNF conditional knock out mice (LysMcreTNF fl/fl) in which the TNF gene was deleted in cells of the myeloid lineage, including microglia. The deletion re

Adsorption of hydrogen on stable and metastable Ir(100) surfaces

Using the combination of high resolution core level spectroscopy and density functional theory we present adetailed spectroscopic study for all clean and hydrogen covered phases of Ir(100). The results are complementedby an investigation of the hydrogen desorption process from various phases using temperature programmeddesorption spectroscopy and scanning tunneling microscopy. In total, all experi

Co3O4(100) films grown on Ag(100): Structure and chemical properties

Spinel type Co3O4(100) is successfully grown on Ag(100) at ultrahigh vacuum conditions and its structure, electronic and chemical properties are compared with those of Co3O4(111) grown on Ir(100). We find that the Co3O4(100) is unreconstructed. In contrast to the defect free Co3O4(111) surface the Co3O4(100) surface contains a high concentration of defects that we assign to subsurface cation vacan

Psychosocial effects of workplace physical exercise among workers with chronic pain : Randomized controlled trial

While workplace physical exercise can help manage musculoskeletal disorders, less is known about psychosocial effects of such interventions. This aim of this study was to investigate the effect of workplace physical exercise on psychosocial factors among workers with chronic musculoskeletal pain.The trial design was a 2-armed parallel-group randomized controlled trial with allocation concealment.

Contradictory individualized self-blaming : a cross-sectional study of associations between expectations to managers, coworkers, one-self and risk factors for musculoskeletal disorders among construction workers

BACKGROUND: Within work sociology, several studies have addressed construction workers' practices of masculinity, class, economy, safety risks and production. However, few studies have investigated room for agency in relation to bodily pain or musculoskeletal disorders and even fewer have made a quantitative approach. Accordingly, by means of a questionnaire, we examined the association between co

A probabilistic analysis of argument cogency

This paper offers a probabilistic treatment of the conditions for argument cogency as endorsed in informal logic: acceptability, relevance, and sufficiency (RSA). Treating a natural language argument as a reason-claim-complex, our analysis identifies content features of defeasible argument on which the RSA conditions depend, namely: (1) change in the commitment to the reason, (2) the reason’s sens