197 research outputs found

    Predicting potential respondents’ decision to participate in web surveys

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    Web-based surveys have received increasing attention given the potential benefits of convenience, low cost, and time saving compared with other survey modes. However, the use of the internet to collect data is restrained by the lack of willingness of people to respond. The objective of this research is to expose the determinants of intention to participate in a web survey. Based on the theory of reasoned action, this research proposes a model encompassing attitude toward a web survey, social norm, moral obligation, trust in the sponsor of a survey, topic involvement, topic sensitivity, and reputation of the sponsor to predict a potential respondent’s web survey participation intention. We examine the proposed model using a structural equation modelling procedure. The results indicate that attitude, social norm, moral obligation, reputation of sponsor, and trust in the sponsor exert positive effects on participation intentions in web surveys; attitude mediates the relationship between topic involvement and participation intention. However, topic sensitivity of the web survey has no effect either on attitude or on participation intention

    Predicting potential respondents’ decision to participate in web surveys

    Get PDF
    Web-based surveys have received increasing attention given the potential benefits of convenience, low cost, and time saving compared with other survey modes. However, the use of the internet to collect data is restrained by the lack of willingness of people to respond. The objective of this research is to expose the determinants of intention to participate in a web survey. Based on the theory of reasoned action, this research proposes a model encompassing attitude toward a web survey, social norm, moral obligation, trust in the sponsor of a survey, topic involvement, topic sensitivity, and reputation of the sponsor to predict a potential respondent’s web survey participation intention. We examine the proposed model using a structural equation modelling procedure. The results indicate that attitude, social norm, moral obligation, reputation of sponsor, and trust in the sponsor exert positive effects on participation intentions in web surveys; attitude mediates the relationship between topic involvement and participation intention. However, topic sensitivity of the web survey has no effect either on attitude or on participation intention

    Parametric cooling of a degenerate Fermi gas in an optical trap

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    We demonstrate a novel technique for cooling a degenerate Fermi gas in a crossed-beam optical dipole trap, where high-energy atoms can be selectively removed from the trap by modulating the stiffness of the trapping potential with anharmonic trapping frequencies. We measure the dependence of the cooling effect on the frequency and amplitude of the parametric modulations. It is found that the large anharmonicity along the axial trapping potential allows to generate a degenerate Fermi gas with anisotropic energy distribution, in which the cloud energy in the axial direction can be reduced to the ground state value

    Participation Willingness in Web Surveys: Exploring Effect of Sponsoring Corporation’s and Survey Provider’s Reputation

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    Prior research involving response rates in Web-based surveys has not adequately addressed the effect of the reputation of a sponsoring corporation that contracts with a survey provider. This study investigates the effect of two factors, namely, the reputation of a survey’s provider and the reputation of a survey’s sponsoring corporation, on the willingness of potential respondents to participate in a Web survey. Results of an experimental design with these two factors reveal that the sponsoring corporation’s and the survey provider’s strong reputations can induce potential respondents to participate in a Web survey. A sponsoring corporation’s reputation has a greater effect on the participation willingness of potential respondents of a Web survey than the reputation of the survey provider. A sponsoring corporation with a weak reputation who contracts with a survey provider having a strong reputation results in increased participation willingness from potential respondents if the identity of the sponsoring corporation is disguised in a survey. This study identifies the most effective strategy to increase participation willingness for a Web-based survey by considering both the reputations of the sponsoring corporation and survey provider and whether to reveal their identities

    Participation Willingness in Web Surveys: Exploring Effect of Sponsoring Corporation’s and Survey Provider’s Reputation

    Get PDF
    Prior research involving response rates in Web-based surveys has not adequately addressed the effect of the reputation of a sponsoring corporation that contracts with a survey provider. This study investigates the effect of two factors, namely, the reputation of a survey’s provider and the reputation of a survey’s sponsoring corporation, on the willingness of potential respondents to participate in a Web survey. Results of an experimental design with these two factors reveal that the sponsoring corporation’s and the survey provider’s strong reputations can induce potential respondents to participate in a Web survey. A sponsoring corporation’s reputation has a greater effect on the participation willingness of potential respondents of a Web survey than the reputation of the survey provider. A sponsoring corporation with a weak reputation who contracts with a survey provider having a strong reputation results in increased participation willingness from potential respondents if the identity of the sponsoring corporation is disguised in a survey. This study identifies the most effective strategy to increase participation willingness for a Web-based survey by considering both the reputations of the sponsoring corporation and survey provider and whether to reveal their identities

    The equivalence of Internet versus paper-based surveys in IT/IS adoption research in collectivistic cultures: the impact of satisficing

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    An increasing proportion of information technology (IT)/information system adoption research collects data using online surveys. However, a paucity of research assesses the equivalence of paper-based versus Internet-based surveys in collectivistic cultures. Furthermore, no theoretical or empirical research investigates how cultural differences between collectivistic and individualistic cultures influence the measurement equivalence (ME) of these survey modes. To explore these issues, online and paper-based surveys with comparable samples were carried out in both an individualistic (the USA) and a collectivistic culture (China). Confirmatory factor analysis was conducted to examine the ME across both survey modes in these different cultures. Results indicate that the relatively larger satisficing discrepancy between paper and online surveys causes respondents in collectivistic cultures to have an increased likelihood of providing responses that vary as compared to respondents in individualistic cultures. The disparate responses, in turn, result in increased measurement variance between the two survey modes. The findings of this study bridge a gap in the literature and address the question of how culture influences online satisficing behaviour and how that behaviour causes measurement invariance across survey modes. This study also explains the possible underlying mechanisms by which different national cultures exert their influence on survey results. The findings provide important implications for IT researchers, especially those in collectivistic cultures or those who need to collect data in collectivistic cultures using online surveys or mixed-mode surveys that include an online survey mode

    Role of adenosine signaling in penile erection and erectile disorders.

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    INTRODUCTION: Penile erection is a hemodynamic process, which results from increased flow and retention of blood in the penile organ due to the relaxation of smooth muscle cells. Adenosine, a physiological vasorelaxant, has been shown to be a modulator of penile erection. AIM: To summarize the research on the role of adenosine signaling in normal penile erection and erectile disorders. MAIN OUTCOME MEASURES: Evidence in the literature on the association between adenosine signaling and normal and abnormal penile erection, i.e., erectile dysfunction (ED) and priapism. METHODS: The article reviews the literature on the role of endogenous and exogenous adenosine in normal penile erection, as well as in erectile disorders namely, ED and priapism. RESULTS: Adenosine has been shown to relax corpus cavernosum from various species including human in both in vivo and in vitro studies. Neuromodulatory role of adenosine in corpus cavernosum has also been demonstrated. Impaired adenosine signaling through A(2B) receptor causes partial resistance of corpus cavernosum, from men with organic ED, to adenosine-mediated relaxation. Increased level of adenosine has been shown to be a causative factor for priapism. CONCLUSION: Overall, the research reviewed here suggests a general role of exogenous and endogenous adenosine signaling in normal penile erection. From this perspective, it is not surprising that impaired adenosine signaling is associated with ED, and excessive adenosine signaling is associated with priapism. Adenosine signaling represents a potentially important diagnostic and therapeutic target for the treatment of ED and priapism

    An assessment of equivalence between Internet and paper-based surveys: evidence from collectivistic cultures

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    Little research exists that addresses the equivalence in collectivistic cultures of paper- versus Internet-based surveys. This study addressed this gap and examined the measurement equivalence of individual innovativeness scales between Internet surveys and paper-based surveys within a collectivistic culture (with China serving as our example). The study analyzed and compared survey data from both paper and web-based surveys using confirmatory factor analysis. The assessment of invariance included the levels of configural, metric, scalar, and covariance invariance. The means and variance of latent variables were also compared. The results show that measurements are invariant at the two levels (configural and metric), and the covariances between latent variables are also equivalent, but the mean and variance differences of latent variables are apparent. The results indicate that when conducting research in collectivistic cultures and collecting data from distinct survey modes, researchers should concern themselves with the potential of extreme response patterns and the inclination of social desirability responding, as well as considering the measurement invariance across survey modes

    Seer: Language Instructed Video Prediction with Latent Diffusion Models

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    Imagining the future trajectory is the key for robots to make sound planning and successfully reach their goals. Therefore, text-conditioned video prediction (TVP) is an essential task to facilitate general robot policy learning, i.e., predicting future video frames with a given language instruction and reference frames. It is a highly challenging task to ground task-level goals specified by instructions and high-fidelity frames together, requiring large-scale data and computation. To tackle this task and empower robots with the ability to foresee the future, we propose a sample and computation-efficient model, named \textbf{Seer}, by inflating the pretrained text-to-image (T2I) stable diffusion models along the temporal axis. We inflate the denoising U-Net and language conditioning model with two novel techniques, Autoregressive Spatial-Temporal Attention and Frame Sequential Text Decomposer, to propagate the rich prior knowledge in the pretrained T2I models across the frames. With the well-designed architecture, Seer makes it possible to generate high-fidelity, coherent, and instruction-aligned video frames by fine-tuning a few layers on a small amount of data. The experimental results on Something Something V2 (SSv2) and Bridgedata datasets demonstrate our superior video prediction performance with around 210-hour training on 4 RTX 3090 GPUs: decreasing the FVD of the current SOTA model from 290 to 200 on SSv2 and achieving at least 70\% preference in the human evaluation.Comment: 17 pages, 15 figure

    Overview of Grid Codes for Photovoltaic Integration

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