Search results

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.

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.

This study aims to analyse the impact of the big five personality traits on the financial risk tolerance of individuals. Furthermore, it also examines the differences in personality traits and financial risk tolerance across four generations: baby boomers, Generation X, millennials and Generation Z.

The data constituted 869 responses from Indian individuals, collected using a self-administered structured questionnaire using a convenience sampling technique.

Structural equation modelling analysis showed that openness to experience, extraversion and neuroticism had a significant impact on financial risk tolerance. Multivariate analysis revealed the role of specific personality traits in predicting the financial risk tolerance of generational cohorts. Mean difference showed that millennials and Generation Z had the greatest risk tolerance, whereas the tolerance levels were lower for Generation X and baby boomers.

This research provides insights into the role of personality on financial risk-taking among generational cohorts in India. Thus, these results cannot be generalised for other risk-taking domains or outside the Indian context.

This study’s results align with the pulse rate hypothesis of generational theory and contribute to the growing field of behavioural economics and finance. It provides a perspective of the emerging economy of India, where behavioural finance studies are still at a nascent stage.

This paper explores the role that the control system – understood as a set of financial and non-financial mechanisms – introduced by the Ministerial Decree of 15th February 1860 played in promoting the ethical tolerance of prostitution in the Kingdom of Italy.

A qualitative research method was adopted. Specifically, this study draws on literature on accounting and deviant behaviors and on Suchman's theories of legitimation (1995) to interpret empirical evidence collected from archival primary sources as well as secondary sources.

The paper highlights how the accounting mechanisms introduced by the law were molded to limit the serious consequences of prostitution from a public health standpoint and to demonstrate that the State neither profited from prostitution nor used public money to fund it. This should have stimulated ethical tolerance of the law itself and, consequently, of the prostitution that was regulated.

This paper opens a new research avenue in the field of accounting history by exploring the connection between accounting and prostitution. Moreover, unlike the extant literature on accounting and deviant behaviors, this study delves into the role played by accounting mechanisms to promote ethical tolerance rather than to activate normalization processes.

The purpose of this study is to examine tolerance of channel partners’ opportunistic behaviors as a viable governance mechanism and to test contingent transaction benefit and cost factors to determine tolerance of opportunistic behaviors.

Through the theoretical lenses of governance value analysis and transaction cost economics, this study theorizes that a supplier’s tolerance of its reseller’s opportunistic behaviors should depend on transaction benefit factors (e.g. new product creativity and marketing program creativity) and transaction cost factors (e.g. performance ambiguity and opportunity cost). The author empirically tests the moderation model using data from a large-scale survey of 141 mobile phone suppliers in South Korea.

The empirical results largely support the predictions on the moderating effects. For transaction benefit factors, marketing program creativity increases the supplier’s tolerance, while new product creativity does not increase the supplier’s tolerance. For transaction cost factors, the supplier’s concerns about opportunity cost increase the level of tolerance, while performance ambiguity of a business partner decreases the tolerance level.

Theorizing opportunistic behaviors as a policy variable subject to benefit-cost assessment rather than an assumption provides new insights to interfirm governance research.

To the best of the author’s knowledge, this study is the first kind to consider transaction benefit and cost factors together in a single contingency framework in tolerance research. Also, this research provides a new perspective on a microlevel marketing factor (i.e. creativity) as an influential factor in governance mechanisms.

The purpose of this paper is to establish a tolerance optimization method based on manufacturing difficulty computation using the genetic algorithm (GA) method. This proposal is among the authors’ perspectives of accomplished previous research work to cooperative optimal tolerance allocation approach for concurrent engineering area.

This study introduces the proposed GA modeling. The objective function of the proposed GA is to minimize total cost constrained by the equation of functional requirements tolerances considering difficulty coefficients. The manufacturing difficulty computation is based on tools for the study and analysis of reliability of the design or the process, as the failure mode, effects and criticality analysis (FMECA) and Ishikawa diagram.

The proposed approach, based on difficulty coefficient computation and GA optimization method [genetic algorithm optimization using difficulty coefficient computation (GADCC)], has been applied to mechanical assembly taken from the literature and compared to previous methods regarding tolerance values and computed total cost. The total cost is the summation of manufacturing cost and quality loss. The proposed approach is economic and efficient that leads to facilitate the manufacturing of difficult dimensions by increasing their tolerances and reducing the rate of defect parts of the assembly.

The originality of this new optimal tolerance allocation method is to make a marriage between GA and manufacturing difficulty. The computation of part dimensions difficulty is based on incorporating FMECA tool and Ishikawa diagram This comparative study highlights the benefits of the proposed GADCC optimization method. The results lead to obtain optimal tolerances that minimize the total cost and respect the functional, quality and manufacturing requirements.

Drawing on the social information processing theory, this study aims to adopt a moderated mediation model to investigate the mediation role of cognitive crafting and the moderation role of regulatory focus in the relationship between perceived deviance tolerance and employee innovative behavior.

A questionnaire study with 181 employees from a state-owned communications technology company in China was conducted through a two-wave survey, with a one-month lagged design. The model is tested through confirmatory factor analysis, correlation analysis and PROCESS bootstrapping program in SPSS24.0 and AMOS22.0 software.

This study confirms that perceived deviance tolerance is positively related to innovative behavior, while cognitive crafting mediates the relationship between perceived deviance tolerance and innovative behavior. Furthermore, the promotion focus positively moderates the relationship between perceived deviance tolerance and cognitive crafting, and higher promotion focus enhances the mediating effect of cognitive crafting on the relationship between perceived deviance tolerance and innovative behavior. The prevention focus negatively moderates the relationship between perceived deviance tolerance and cognitive crafting, and higher prevention focus weakens the mediating effect of cognitive crafting on the relationship between perceived deviance tolerance and innovative behavior.

Organizations need to establish a tolerant and inclusive management system and create a harmonious working atmosphere to provide a platform basis to inspire the innovative behavior of employees. Also, regulatory focus variables are suggested to be considered in organizational human resource management processes (e.g. recruitment and training) to improve organizational person–job fit.

The primary contribution of this study is to confirm that perceived deviance tolerance has a positive impact on innovation behavior and thereby providing a new perspective to understand the impact effect of perceived deviance tolerance. Another contribution the study explores the mechanisms and boundary conditions of perceived deviance tolerance on innovative behavior fills the theoretical gap of perceived deviance tolerance.