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The purpose of this article is to present an overview of the history and development of transaction log analysis (TLA) in library and information science research. Organizing a literature review of the first twenty‐five years of TLA poses some challenges and requires some decisions. The primary organizing principle could be a strict chronology of the published research, the research questions addressed, the automated information retrieval (IR) systems that generated the data, the results gained, or even the researchers themselves. The group of active transaction log analyzers remains fairly small in number, and researchers who use transaction logs tend to use this method more than once, so tracing the development and refinement of individuals' uses of the methodology could provide insight into the progress of the method as a whole. For example, if we examine how researchers like W. David Penniman, John Tolle, Christine Borgman, Ray Larson, and Micheline Hancock‐Beaulieu have modified their own understandings and applications of the method over time, we may get an accurate sense of the development of all applications.

This paper aims to elucidate some of the complexity around food consumption by drawing from neuroscience research of food as a motivated choice (i.e. a neurobehavioral process sensitive to dopaminergic response to food and environmental cues such as marketing). The authors explore the single and compounded effect of the motivational salience of food’s intrinsic reinforcing value tied to its sugar content and that of two marketing food cues, price and in-store display, on actual consumer purchase behavior.

The authors test the above hypotheses in two perceived “healthy” product categories with a wide distribution of sugar content. The authors estimate a within-category model using three years of retail transaction data to test the effect on weekly sales.

The authors confirm the single effect of each of food’s and marketing cues’ motivational salience as well as their compounded effect with high-motivational-salience food being less price elastic and more susceptible to in-store display activities.

This research highlights the need to complement current reliance on unhealthy/healthy perception with finer grained objective evidence linked to the formulation of the food itself and the marketing applied to them.

The present study findings may help marketing managers and policymakers develop better targeted pricing and display strategies for low- and high-motivational-salience food, attempting to strike a better balance between consumer welfare and commercial performance.

This paper is one of the few that links real-world market outcomes to predictions derived from a unique combination of consumer neuroscience and neurobiology of food, advancing data-driven decisions.

The purpose of this paper is to provide a selected bibliography of recent resources on library instruction and information literacy.

The paper introduces and annotates periodical articles, monographs, and audiovisual material examining library instruction and information literacy.

Information about each source is provided. The paper discusses the characteristics of current scholarship, and describes sources that contain unique scholarly contributions and quality reproductions.

The information in the paper may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

The following annotated list of materials on providing library orientation to users and instructing them in library and information skills is the tenth annual review of this literature and covers publications from 1983. A few items have not been annotated because the compiler was unable to secure a copy of these items.

This research employed two neurophysiological techniques (electroencephalograms (EEG) and galvanic skin response (GSR)) and machine learning algorithms to capture and analyze relationship-oriented leadership (ROL) and task-oriented leadership (TOL). By grounding the study in the theoretical perspectives of transformational leadership and embodied leadership, the study draws connections to the human body's role in activating ROL and TOL styles.

EEG and GSR signals were recorded during resting state and event-related brain activity for 52 study participants. Both leadership styles were assessed independently using a standard questionnaire, and brain activity was captured by presenting subjects with emotional stimuli.

ROL revealed differences in EEG baseline over the frontal lobes during emotional stimuli, but no differences were found in GSR signals. TOL style, on the other hand, did not present significant differences in either EEG or GSR responses, as no biomarkers showed differences. Hence, it was concluded that EEG measures were better at recognizing brain activity associated with ROL than TOL. EEG signals were also strongest when individuals were presented with stimuli containing positive (specifically, happy) emotional content. A subsequent machine learning model developed using EEG and GSR data to recognize high/low levels of ROL and TOL predicted ROL with 81% accuracy.

The current research integrates psychophysiological techniques like EEG with machine learning to capture and analyze study variables. In doing so, the study addresses biases associated with self-reported surveys that are conventionally used in management research. This rigorous and interdisciplinary research advances leadership literature by striking a balance between neurological data and the theoretical underpinnings of transformational and embodied leadership.