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The latest effort in delivering computing resources as a service to managers and consumers represents a shift away from computing as a product that is purchased, to computing as a service that is delivered to users over the internet from large-scale data centers. However, with the advent of the cloud-based IoT and artificial intelligence (AI), which are advancing customer experience automations in many application areas, such as recommender systems (RS), a need has arisen for various modifications to support the IoT devices that are at the center of the automation world, including recent language models like ChatGPT and Bard and technologies like nanotechnology. This paper introduces the marketing community to a recent computing development: IoT-driven fog computing (FC). Although numerous research studies have been published on FC "smart" applications, none hitherto have been conducted on fog-based smart marketing domains such as recommender systems. FC is considered a novel computational system, which can mitigate latency and improve bandwidth utilization for autonomous consumer behavior applications requiring real-time data-driven decision making. This paper provides a conceptual framework for studying the effects of fog computing on consumer behavior, with the goal of stimulating future research by using, as an example, the intersection of FC and RS. Indeed, our conceptualization of the "fog-based recommender systems" opens many novel and challenging avenues for academic research, some of which are highlighted in the later part of this paper. [ABSTRACT FROM AUTHOR]

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ijresmar.2008.04.002 Byline: Jacob Hornik (a), Giulia Miniero (b) Keywords: Synchrony effect; Circadian rhythm; Chronotypes; Time of day Abstract: Past research demonstrates that most people have a certain time of day when they are most alert and able to perform at their best. The authors investigate the effect of consumers' 'morningness'-'eveningness' orientation and time of day on their performance. Two experiments explore whether synchrony between peak circadian periods and time of testing influences consumers' performance. Results suggest robust synchrony and time-of-day effects on the dependent variables. Study 1 shows that circadian rhythm strongly influences customers' waiting time and service evaluations. The use of signal-detection methods in Study 2 reveals that participants were better able to recall and recognize ads when tests were performed during their peak circadian time. Overall, subjects showed better performance at their peak than at their off-peak time of day. The authors discuss the theoretical significance of their findings and the managerial implications for marketing research and practice. Author Affiliation: (a) The Leon Recanati Graduate School of Business Administration, Tel Aviv University and, Visiting Professor, Ecole Superieure de Gestion, ESG, Paris (b) Bocconi University, Milan, Italy Article Note: (footnote) [star] This research was partially funded by the Crown Institute of Business Research, Tel-Aviv University. We thank Anat Refaeli for her guidance on the tele-queue study. Initial results from this article were presented at the European Conference of the Association for Consumer Research, 2007, and faculty seminars in Europe and North America.

INTRODUCTION In the last two decades, recycling has become increasingly imperative; as resources decrease and wastes increase, recycling becomes necessary and viable. Americans spend nearly ten billion dollars annually to [...]

A data-use model is presented from the user's stance, using an analogy between Bayesian analysis and rational decision-making. Ways that various data-users use the same information in various ways are shown. Use of data by managers is equally impacted by the researcher as by the user, with the role of researchers generally overestimated. The model is used to illustrate how the predisposition of the manager determines whether further information is gathered or whether the data is acted upon.

A measurement of temporal orientation was developed and the procedure using Mahalanobis generalized distances, D(2), compared the responses between husband and wife, including a third party for comparison purposes. Extensive statistical analyses are employed, and several graphical methods are used to represent the statistical results. Lastly, sets of empirical data validated the procedure which is promising in the investigation of dyadic relationships.

Two experiments have confirmed that people in a positive mood feel that time passes more quickly than people in a sad, negative mood, possibly because they are more concerned with the situation than with the passing of time. This finding highlights the need to take the effect of mood into account in consumer behavior research. The experiments also showed that people in a positive mood look forward to the future rather than dwelling on the past and present, whereas people in a negative mood tend to concentrate on the present in an attempt to find a way of cheering themselves up.

Jacob Hornik Tel-aviv University and The University of Chicago, Joseph Cherian University of Illinois at Chicago and Dan Zakay tel-Aviv University Surveys that use self-reports of time-based activities might suffer [...]