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We argue that our understanding of how institutions matter has been undermined by a piecemeal approach to temporality in institutional analyses. This paper addresses this shortcoming in the literature. We bring temporality to the fore by conceptualizing practices, which constitute institutions, as understood, situated, and coordinated in time by temporal structures. We elaborate an integrated framework of temporal structures that consist of three types: temporal patterns, temporal conceptions, and temporal orientations – and outline how each type contributes to the reproduction of practices. We discuss the implications of this framework for sustainability initiatives and conclude by suggesting future avenues of research on the temporal foundations of institutions.

The theory of planned behavior (TPB) and place image have both been the foci of studies in understanding one’s intentional visit behavior in leisure research. Few studies, however, have ever attempted to differentiate the roles of attitude and image in predicting visitors’ intentional behaviors. This study is designed to fulfill this gap by examining the two concepts together in the context of responsible casino gaming. Based on the TPB and the concept of place image, a predicting model of visitor’s intentional behavior was posited and tested, based on a survey dataset collected in an American Midwest city. This study concluded that visitor’s attitude and perception of place image both play significant and distinctive roles in predicting visitor’s intentional behavior, and such perceptual discrepancies between attitude and image should be reflected and highlighted in leisure and marketing. Implications of this study in terms of leisure marketing are discussed.

The general theory of behavioral strategies includes a set of propositions supporting alternative configurations of objectives, contextual features, and beliefs/assessments by executives. The theory includes the outcomes of selections of specific decision alternatives. Building behavioral-strategy models in contexts enriches one or more goals of science and practice: description, understanding, prediction, and influence/control. This chapter is a primer to the general theory. A brief review of relevant empirical studies supports the general theory. The empirical studies include the use of alternative data collection and analytically tools including true field experiments, think aloud methods, long interviews, statistical hypothesis testing, ethnographic decision tree modeling, and building and testing algorithms (e.g., qualitative comparative analysis, QCA). The general theory is the blending of cognitive science, economics, marketing, psychology, and implemented practices in explicit contexts. Consequently, behavioral-strategy theory is distinct from context-free microeconomics, market-driven, and competitor-only decision-making. Capturing and reporting contextually driven alternative routines to strategy setting by a compelling set of propositions represents what is particularly new and valuable about the general theory. The general theory serves as a useful foundation for advances theory and improving the practice of implemented strategies.

For frail older persons, gaining access to care is primarily in the context of long-term care institutions. Based on hypotheses derived from the theory of the total institution (Goffman, 1961) and anticipatory socialization theory (Merton & Kitt, 1950), linkages of intra-institutional and extra-institutional social ties with quality of life outcomes were assessed based on 168 residents’ self-reports of their life and problems experienced in long-term care (Kahana, Kahana, & Young, 1987). Findings reveal that lack of anticipatory socialization was a significant predictor of subsequent wellbeing, whereas the extent of social ties to the outside world did not predict subsequent wellbeing.

This paper presents models for evaluating effects of implementing TDM schemes on road traffic with the consideration of uncertainty of travel times. The models are composed of drivers' behavioural model for identifying the optimal starting time and route with the designated time for arrival at the destination as well as dynamic traffic simulation model for estimating the change of travel times. A case study for applying the models on a test road network showed that TDM schemes of park and ride systems and road pricing enabled drivers to obtain benefits by improving the reliability of travel times as well as benefits by reducing travel times.

Purpose – Child abuse is widely accepted as having a negative effect on children's academic achievement. It is less clear why this relationship exists. Current explanations of the abuse-academic achievement connection rely on psychological theories that overlook the impact the abuse has on children's developmentally relevant social circumstances.

Methodology/approach – Using data from the National Survey of Adolescents (NSA), a nationally representative sample of youth between the ages of 12 and 17 years old, a social capital perspective is implemented to show how abuse impacts academic achievement.

Findings – Children victimized by physical or sexual abuse are more likely to join deviant peer groups, which in turn leads to increased levels of delinquent behavior by the individual. Both the “negative” social capital of the peer group and the deviant individual behaviors explain away much of the disparity in performance between abused and non-abused children and contribute to the overall understanding of the mechanisms responsible for the effects of abuse.

Originality/value of chapter – These findings provide evidence of the impact abuse can have on children's well-being and outlines social mechanisms that connect abuse victimization to children's outcomes.

The implications and influence of different cognitive map structures on decision-making, reasoning, predictions about future events, affect, and behavior remain poorly understood. To-date, we have not had the mechanisms to determine whether any measure of cognitive map structure picks up anything more than would be detected on a purely random basis. We report a Monte Carlo method of simulation used to empirically estimate parameterized probability outcomes as a means to better understand the behavior of cognitive map. Using worked examples, we demonstrate how the results of our simulation permit the use of exact statistics which can be applied by hand to an individual map or groups of maps, providing maximum utility for the collective and cumulative process of theory building and testing.

This chapter studies the conditions under which market intermediaries reward or sanction market actors who deviate from the prevailing categorical order. The authors first assess how the expertise of a market intermediary – an understudied determinant of their authority – can lead to a positive evaluation of categorical deviation. Then, the authors identify two inhibitors that are likely to temper such positive appraisal: identity preservation and competition among market intermediaries. Factoring in both micro-level and macro-level dimensions of market dynamics, this chapter contributes to research on market intermediaries, the evolution of category systems, and more broadly, to the microfoundations of institutional change.

There is a popular psychometric thesis suggesting that people with different levels of cognitive ability end up in different occupations because some occupations require greater intelligence than others for successful performance. To examine several central claims of the psychometric thesis, this study uses two kinds of data for analysis: one is cross-sectional and occupation-level data from various sources dated as early as World War I and the other is longitudinal and individual-level data from the National Longitudinal Survey of Youth 1979 Cohort (NLSY79) and the Wisconsin Longitudinal Study (WLS) in the United States. Findings of this study suggest that occupational segregation by cognitive ability is much less intensive than that suggested by the psychometric theory, and there is no evidence of a trend of increasing cognitive partitioning by occupation over time.

In this project, we propose and test a new device – wearable sociometric badges containing small microphones – as a low-cost and relatively unobtrusive tool for measuring stress response to group processes. Specifically, we investigate whether voice pitch, measured using the microphone of the sociometric badge, is associated with physiological stress response to group processes.

We collect data in a laboratory setting using participants engaged in two types of small-group interactions: a social interaction and a problem-solving task. We examine the association between voice pitch (measured by fundamental frequency of the participant’s speech) and physiological stress response (measured using salivary cortisol) in these two types of small-group interactions.

We find that in the social task, participants who exhibit a stress response have a statistically significant greater deviation in voice pitch (from their overall average voice pitch) than those who do not exhibit a stress response. In the problem-solving task, participants who exhibit a stress response also have a greater deviation in voice pitch than those who do not exhibit a stress response, however, in this case, the results are only marginally significant. In both tasks, among participants who exhibited a stress response, we find a statistically significant correlation between physiological stress response and deviation in voice pitch.

We conclude that wearable microphones have the potential to serve as cheap and unobtrusive tools for measuring stress response to group processes.