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We explore how, and how accurately, people assess their influence over others’ behavior and attitudes. We describe the process by which a person would determine whether he or she was responsible for changing someone else’s behavior or attitude, and the perceptual, motivational, and cognitive factors that are likely to impact whether an influencer’s claims of responsibility are excessive, insufficient, or accurate.

We first review classic work on social influence, responsibility or blame attribution, and perceptions of control, identifying a gap in the literature with respect to understanding how people judge their own responsibility for other people’s behavior and attitudes. We then draw from a wide range of social psychological research to propose a model of how an individual would determine his or her degree of responsibility for someone else’s behavior or attitude.

A potential influencer’s beliefs about the extent of his or her influence can determine whether he or she engages in an influence attempt, how he or she engages in such an attempt, and whether he or she takes responsibility for another person’s behavior or beliefs.

For decades, scholars researching social influence have explored how one’s behavior and attitudes are shaped by one’s social environment. However, amidst this focus on the perspective of the target of social influence, the perspective of the influencer has been ignored. This paper addresses the largely neglected question of how much responsibility influencers take for the impact their words, actions, and presence have on others.

The logic of consequences and the logic of appropriateness have long been central to understanding behavior in organizations. However, scholarly work on the logic of appropriateness has consisted mostly of conceptual clarification and ex post explanation of observed behavior. In an effort to facilitate the study of the logic of appropriateness through experimental methods, this paper introduces an experimental paradigm that allows for the manipulation of decision logic as an independent variable. Using this paradigm, 710 participants played four iconic behavioral games in which profitability and ethics are both at play and, sometimes, at odds: Prisoners’ Dilemma, Dictator Game, Ultimatum Game, and Trust Game. The manipulation generated behavioral data, as well as qualitative data about participants’ considerations while deciding according to each logic. The behavioral data show that, compared to participants employing a logic of consequences, participants employing a logic of appropriateness rejected more unfair offers in an Ultimatum Game and were more generous when reciprocating trusting behavior in a Trust Game. In all other cases, behavior between the two logics was not significantly different. An analysis of the qualitative data suggests that a logic of consequences increased participants’ focus on monetary concerns, whereas a logic of appropriateness increased participants’ focus on moral concerns. Taken together, these data provide new insights into when, how, and why the two logics result in behavioral and cognitive differences. The authors conclude by considering directions for future research that they see as particularly amenable to study using the experimental manipulation presented here.

The purpose of this paper is to gain insight into how both characteristics of toys and marketer‐provided cues influence parents' perceptions of advertised toys and their ideas of what life skills are important for their children's future well‐being and success.

Data were collected with a 2 (toy encourages structured play vs toy encourages unstructured play) × 2 (ad mentions “brain development” vs ad mentions “child development”) experimental design involving four advertisements for a hypothetical toy.

Parents recognized that the toy encouraging unstructured play has many benefits. Relative to parents who saw an ad with a “child development” appeal, those who saw an ad with a “brain development” appeal rated social and intellectual development as less important for their children.

Findings support the idea that manufacturers can and should continue to develop toys, which encourage relatively unstructured play; such toys are both appreciated by parents and valued by experts. They also support eliminating “brain talk” from advertising; such messages do not enhance parents' evaluations of toys and detract from parents' maintaining the value they place on social and intellectual development.

By designing toys which encourage play which is most beneficial to children and promoting them with advertisements without “brain” language, marketers can support children's development and parents' values.

This paper provides insights into the effects of toy and ad characteristics on parents' perceptions of toys and what is important for their children.

This study explores the determinants of police officer support for pre-arrest/booking deflection programs that divert people presenting with substance use and/or mental health disorder symptoms out of the criminal justice system and connect them to supportive services.

This study analyzes responses from 254 surveys fielded to police officers in Delaware. Questionnaires asked about views on leadership, approaches toward crime, training, occupational experience and officer’s personal characteristics. The study applies a new machine learning method called kernel-based regularized least squares (KRLS) for non-linearities and interactions among independent variables. Estimates from a KRLS model are compared with those from an ordinary least square regression (OLS) model.

Support for diversion is positively associated with leadership endorsing diversion and thinking of new ways to solve problems. Tough-on-crime attitudes diminish programmatic support. Tenure becomes less predictive of police attitudes in the KRLS model, suggesting interactions with other factors. The KRLS model explains a larger proportion of the variance in officer attitudes than the traditional OLS model.

The study demonstrates the usefulness of the KRLS method for practitioners and scholars seeking to illuminate patterns in police attitudes. It further underscores the importance of agency leadership in legitimizing deflection as a pathway to addressing behavioral health challenges in communities.

The purpose of this paper is to explore twentieth century sportscapes and their role in the development of urban arenas as places of sport.

Utilizing frame theory and sport business history scholarship, the author examines entrepreneurs' development of six‐day bicycle races at Madison Square Garden. The main primary sources include autobiographies, morgue files, and newspapers.

In this paper, it is argued that entrepreneurs' shaping and marketing of six‐day races and their sportscapes resulted in a popular sporting spectacle and helped to promote arenas as spaces and places of sport.

The paper demonstrates the process and development of “frame management” in urban arenas and their transition to spaces and places of sport. By exploring six‐day bicycle races at Madison Square Garden, the paper shows the importance of a now‐forgotten cultural event to the development of the multi‐billion dollar sport industry and to one of the world's most iconic arenas. The paper adds to scholarship on bicycle racing and marketing history, as well as the historiography of the sport industry.

This chapter estimates the demand for flights in an international air travel market using a unique dataset with detailed information not only on flight choices but also on contemporaneous prices and characteristics of all the alternative non-booked flights. The estimation strategy employs a simple discrete choice random utility model that we use to analyze how choices and its response to prices depend on the departing airport, the identity of the carrier, and the departure date and time. The results show that a 10% increase in prices in a 100-seat aircraft throughout a 100-period selling season decreases quantity demanded by 7.7 seats. We also find that the quantity demanded is more responsive to prices for Delta and American, during morning and evening flights and that the response to prices changes significantly over different departure dates.