411 research outputs found

    The Works of Stefan George

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    This translation of all the poems in the main body of the work of George extensively revises the first publication of "The Works of Stefan George" which appeared in 1949. The editors have also expanded the volume, adding a number of George's early poems under the collective title "Drawings in Grey", two essays (including the eulogy on Hölderin), and the lyrical drama "The Lady's Praying" along with a commentary by the translators

    When Do Higher Prices Increase Demand? The Dual Role of Price in Consumers\u27 Value Judgments

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    Drawing on literature on judgment and decision-making, we examine the proposition that price serves two distinct roles in consumers\u27 value judgments. First, as a product attribtute, price affects the perceived similarity of the target product to the mental prototype of a higher or lower quality product. However, price is not the only attribute used to make similarity based quality judgments. Other relevant and available product attributes moderate the effect of price on quality judgments. Second, as a measure of sacrifice, price serves as the benchmark for comparing utility gains from superior product quality. However, this comparison process is dynamic because the relative importance of money and product quality changes across consumption occasions. We present a signal detection model of consumer\u27s price-value judgment to explain how high prices simultaneously increase as well as decrease purchase intentions. We describe how managers can use this model of value judgment to identify situations when higher price may increase demand

    The effect of web advertising visual design on online purchase intention: An examination across gender

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    With web advertising growing to be a huge industry, it is important to understand the effectiveness of web advertisement. In this study we investigate the effects of web advertising visual design (WAVD) purchasing intention within the framework of an integrated model. Nine hypotheses were developed and tested on a dataset of 316 observations collected via a questionnaire survey. The results of structural equation modeling (SEM) indicate that while web advertising visual cues influence consumers' purchasing intention through advertising attitudes and brand attitudes, they do not have direct effects on purchasing intention. Further results on the moderating role of gender suggest that web advertising visual cues have direct effect on consumers' purchasing intention for male groups but not for female groups. This study contributes to the understanding the role of visual dimensions in forming online purchase intentions

    Advertising Bans and the Substitutability of Online and Offline Advertising

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    The authors examine whether the growth of the Internet has reduced the effectiveness of government regulation of advertising. They combine nonexperimental variation in local regulation of offline alcohol advertising with data from field tests that randomized exposure to online advertising for 275 different online advertising campaigns to 61,580 people. The results show that people are 8% less likely to say that they will purchase an alcoholic beverage in states that have alcohol advertising bans compared with states that do not. For consumers exposed to online advertising, this gap narrows to 3%. There are similar effects for four changes in local offline alcohol advertising restrictions when advertising effectiveness is observed both before and after the change. The effect of online advertising is disproportionately high for new products and for products with low awareness in places that have bans. This suggests that online advertising could reduce the effectiveness of attempts to regulate offline advertising channels because online advertising substitutes for (rather than complements) offline advertising.Google (Firm)WPP (Firm

    Knowledge creation in consumer research: Multiple routes, multiple criteria

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    The modal scientific approach in consumer research is to deduce hypotheses from existing theory about relationships between theoretic constructs, test those relationships experimentally, and then show â processâ evidence via moderation and mediation. This approach has its advantages, but other styles of research also have much to offer. We distinguish among alternative research styles in terms of their philosophical orientation (theoryâ driven vs. phenomenonâ driven) and their intended contribution (understanding a substantive phenomenon vs. building or expanding theory). Our basic premise is that authors who deviate from the dominant paradigm are hindered by reviewers who apply an unvarying set of evaluative criteria. We discuss the merits of different styles of research and suggest appropriate evaluative criteria for each.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141497/1/jcpy473.pd

    When Does the Past Repeat Itself? The Interplay of Behavior Prediction and Personal Norms

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    Does asking people about their future behavior increase or decrease the likelihood that they will repeat their past behavior? In two laboratory and two field experiments, we find that behavior prediction strengthens behavior repetition, making people more likely to do what they normally do, when personal norms regarding engaging in a behavior are weak or not easily accessible. However, when personal norms are strong or made accessible at the time of the prediction request, behavior prediction weakens behavior repetition and increases the likelihood that people do what they think they should do-even if it's not what they normally would do. These findings provide new tools for influencing behavior repetition, reconcile some seemingly contradictory past findings, and contribute to the debate regarding the relative importance of habits and intentions in guiding behavior. T he repetition of unhealthy behaviors (such as overeating) and the lack of repetition of healthy behaviors (such as exercising) are leading contributors to preventable deaths in developed countrie

    Choice in Computer-Mediated Environments

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    In the last several years, the increased diffusion of computer andtelecommunications technologies in businesses and homes has produced newways for organizations to connect with their customers. These computermediated environments (CMEs) such as the World Wide Web raise new researchquestions. In this paper, we examine the potential research issuesassociated with CMEs in five areas: (1) decision processes, (2) advertisingand communications, (3) brand choice, (4) brand communities, and (5)pricing.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47229/1/11002_2004_Article_138117.pd

    Comments on “<scp>AI</scp> and the advent of the cyborg behavioral scientist”

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    AbstractBelow are comments on Tomaino, Cooke, and Hoover by four teams of collaborative reviewers that helped clarify and focus its original version. Their comments on the refined version articulate how the fast‐moving world of generative AI can alter authors, readers, reviewers, and consumer behavior journals. In the first comment, Blythe, Kulis, and McGraw propose that Generative AI requires substantial effort to generate research that is fast, cost‐effective, and of high quality. They articulate three recommendations: to ask, to train, and to check the system. Asking builds on GenAI's ability to reveal its own capabilities at different stages of the research process. Training allows the system to be customized with relevant context, domain‐specific documents, and tailored examples, enhancing its accuracy and reducing errors. Checking is strongly advised to validate that the outputs are both reasonable and robust. Haenlein, Hewett, and Yoo build on the capabilities of Large Language Models that go beyond the research practices central to consumer psychology. They outline strategic prompting strategies: starting broadly and gradually narrowing to specific domains, downloading information from relevant articles and data that is unlikely to be part of the current corpus, and evoking specific theories, methods, or presentation formats. They also elaborate on the ways the apparent magic of GenAI may raise learning or ethical challenges. The third comment by Stacy Wood focuses less on the capabilities of GenAI and more on how its adoption will depend on researcher feelings—in other words, how different aspects of its use may alter researchers' experiences of doing research and their identities as scholars. GenAI has the potential to both build (through increased productivity or increased accessibility) and limit (through loss of agency or faster production) pride of purpose in research. She argues that feelings from using GenAI are likely to differ across research steps, from developing novel concepts, processes, analyses, and writing of the paper. Wherever GenAI may lessen the excitement, satisfaction, motivation, and perceived status of the researcher, barriers to its use are likely to be erected. Finally, Vicki Morwitz identifies new AI capabilities beyond those explored in Tomaino et al. Those include the ability to generate synthetic data that can guide empirical experiments, a facility to create audio and visual stimuli, a capability to study group behavior, and a capacity to reliably interpret complex human statements. The comment then closes with important questions for editorial policies, raising issues about limitations on AI use by authors, its appropriate applications by review teams, and possible publishers' restrictions on uploading copyrighted articles.</jats:p
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