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The purpose of this paper is to determine relationships between financial risk tolerance and the personality traits of sensation-seeking, locus of control, ambiguity tolerance, and financial dishonesty.

A pretested questionnaire was used to gather information from 255 respondents. With risk tolerance as a criterion variable and the four personality traits as predictor variables, a regression procedure was performed to determine which variables contributed to the variability of the criterion variable and the extent of such contribution. An analysis was also done to find out whether gender, age, GPA, and academic standing had an influence on each personality trait’s contribution to risk tolerance.

Risk tolerance is directly related to sensation-seeking and the link is so strong that it is not mitigated by the effects of gender, age, GPA, and college academic standings. As for locus of control, the more one believes one has control over one’s outcome, the higher risk one can tolerate. Surprisingly, there is no relationship between risk and ambiguity tolerances. Dishonesty also does not affect risk tolerance behavior. However, the relationship is found to exist among younger individuals and those with lower GPA, possibly due to not having reached an adequate level of matured or critical reasoning yet.

The relationship between risk tolerance and sensation-seeking is an established fact but whether the relationship still holds across several demographic groups is part of this study’s focus. Although much has been done on risk tolerance, very little has been done on its relationship to locus of control, ambiguity tolerance, and financial dishonesty.

Tolerance automata are defined and a decomposition theory for such entities is sought. It is shown that two major procedures of the classical algebraic theory produce difficulties in the tolerance case. A weaker approach, employing the idea of inertial tolerance, is presented. Finally, an explicit example is given which illustrates both the difficulties encountered and the theorems proved in the text.

Suitable ways of putting tolerance structures onto automata are sought. Inertial tolerance on the state set is discussed, but for black box automata an observed or even inertial tolerance on the output set is thought to be more appropriate. Tolerance inductions and coinductions are used to tolerate the remaining two sets in each case. A general definition of a tolerance automaton is suggested and the morphisms of the category defined. The particular case of an (M‐R) automaton is considered and required to yield a stable tolerance structure. Some illustrative examples are given.

In 1991 Lithuania reclaimed its independence from the Soviet Union and subsequently enlisted its education system as a tool for imparting the democratic skills and worldviews necessary for EU accession. However, the internalization of new democratic norms proved to be more complicated than the unidirectional transmission expected by many elites, as students, parents, and politicians played a part in the way that educational reforms were understood, implemented, embodied, and even resisted. Although tolerance education was initially included in Lithuanian reforms with little fanfare, there has been an increasingly visible backlash against it, as some now see its existence as an encroachment on the right of “Lithuanians” to develop a strong national identity after 60 years of occupation. By analyzing key educational policies in Lithuania, as well as international barometers for social tolerance, this chapter finds that the embrace of intolerance by many individuals and elites in Lithuania is not just a proclivity for prejudice, but a tool for challenging the boundaries of EU expectations to define the values and norms of an independent nation-state.

There is a lack of empirical evidence to support the claim that zero-tolerance policies decrease violent incidents in schools or improve school safety. The message behind the policies clearly indicates that violence in schools is not tolerable under any circumstances; however, there is no correlation between the message and the outcomes from policy implementation. The literature on school order and safety suggests that zero tolerance is the simplest and least effective approach with a myriad of unintentional consequences that have a negative impact on education, not just for an individual student but for the system as a whole (American Psychological Association, 2006; Casella, 2003). This chapter examines the role of the school leader, the historical background of school safety, the role of the school leader as a learner, the legislative events that led to the development of zero-tolerance policies, and outline the unintended consequences of zero-tolerance policies in relation to leadership and learning. An alternative approach to school discipline is proposed – namely a restorative justice approach, which may work towards alleviating many of these unintended consequences.

Despite long-standing evidence that the use of exclusionary discipline practices is both ineffective and even potentially harmful, these policies continue to be used in educational settings across the country. In this chapter, we discuss the problems associated with exclusionary discipline, with an emphasis on zero tolerance approaches. We begin our discussion with a brief history of the origin of zero tolerance policies, a presentation of data that contradict the effectiveness of such policies, and examples of the continued and egregious application of this exclusionary approach. We discuss problems of disproportionality associated with the use of zero tolerance policies, including how this approach exacerbates learning problems for students with and at risk for disabilities, especially if that risk is related to emotional and behavioral disorders (EBD). We conclude by offering alternatives to a zero tolerance approach in the form of positive and preventative approaches for improving student behavior across various levels of intensity within a tiered system of support framework.

Sales personnel play a key role in the success of organizations. These individuals present services/products to clients, manage accounts, build relationships, maintain existing business relationships, and must be available for frequent interactions with clients. Business operations are linked to external entities through these activities, suggesting sales groups play a critical role in the success of an organization. As a representative to the external market, sales personnel are subject to unique stressors due to role-specific requirements. These stressors can impact the ability of sales professionals to effectively engage with customers and manage the volatility of financial performance, especially in commission-based compensation structures. Thus, organizations can find utility in identifying sales candidates with higher levels of stress tolerance, who can handle negative client interactions, overcome lulls in sales conversions, and avoid the impact of occupational stressors on long-term sales performance. Research suggests that organizations can use personality to predict stress tolerance as a component of sales performance. To provide organizations with insights into sales-specific coping behaviors associated with stress tolerance, the authors (1) discuss stress inducing factors (stressors) associated with sales role performance, (2) review the individual differences associated with stress tolerance, (3) present personality relationships with sales performance and stress tolerance, and (4) present job-analytic support for stress tolerance competencies relevant to sales performance and criterion-related validity evidence linking personality characteristics to those behaviors. The authors conclude with a discussion around the potential for applied uses of personality in identifying sales personnel with greater likelihoods of exhibiting stress tolerant behaviors in the workplace.

The assembly simulation in tolerance analysis is one of the most important steps for the tolerance design of mechanical products. However, most assembly simulation methods are based on the rigid body assumption, and those assembly simulation methods considering deformation have a poor efficiency. This paper aims to propose a novel efficient and precise tolerance analysis method based on stable contact to improve the efficiency and reliability of assembly deformation simulation.

The proposed method comprehensively considers the initial rigid assembly state, the assembly deformation and the stability examination of assembly simulation to improve the reliability of tolerance analysis results. The assembly deformation of mating surfaces was first calculated based on the boundary element method with optimal initial assembly state, then the stability of assembly simulation results was assessed by the density-based spatial clustering of applications with noise algorithm to improve the reliability of tolerance analysis. Finally, combining the small displacement torsor theory, the tolerance scheme was statistically analyzed based on sufficient samples.

A case study of a guide rail model demonstrated the efficiency and effectiveness of the proposed method.

The present study only considered the form error when generating the skin model shape, and the waviness and the roughness of the matching surface were not considered.

To the best of the authors’ knowledge, the proposed method is original in the assembly simulation considering stable contact, which can effectively ensure the reliability of the assembly simulation while taking into account the computational efficiency.

This research aims to investigate the influence of consumers' anticipated trust in service providers on brand switching intention and its underlying psychological mechanism. More importantly, this study explores the moderating role of type of service providers (human staff/humanoid robots/nonhumanoid robots).

This study adopted two single-factor between-subjects experimental designs and tested the hypotheses in two typical service failure scenarios: Study 1, a hotel scenario (N = 403); and Study 2, a restaurant scenario (N = 323).

The results suggest that there is an inverted U-shaped relationship between consumers' anticipated trust and tolerance of service failure and that such tolerance has a mediating effect on the relationship between anticipated trust and brand switching intention. Moreover, when service failure is caused by a humanoid service robot, a moderate anticipated trust level of consumers is most conducive to increasing tolerance, which in turn reduces their propensity to switch brands.

This study examines the nature of the relationship between anticipated trust and tolerance in a service failure context, revealing an inverted U-shaped relationship. More importantly, the boundary conditions under which different service provides have an influence on this relationship are incorporated. Finally, this study explores the influence of service failure tolerance on brand switching intentions in a technological context, enriching consumer–brand relationship research.