A vast stream of empirical work has revealed that coach and athlete leadership are important determinants of sport teams’ functioning and performance. Although coaches have a direct impact on individual and team outcomes, they should also strive to stimulate athletes to take up leadership roles in a qualitative manner. Yet, the relation between coach leadership behavior and the extent of high-quality athlete leadership within teams remains underexposed. Based on organizational justice theory and the social identity approach, the present research (...) tested whether perceived justice of the coach positively predicts the quality of athlete leadership. Furthermore, we examined the role of group dynamic processes within this relation. Belgian volleyball and basketball players were asked to rate the justice of their coach, their team identification, the task cohesion, and the athlete leadership quality in the team. Structural equation modeling indicated that coaches’ perceived justice positively predicted the quality of athletes’ leadership, and that this relation was established through three intermediate steps. These results suggest that fair coach behavior does not only bridge the gap between leadership and followership, it also has the potential to improve the quality of athletes’ leadership within sport teams. More specifically, findings suggest that coaches’ perceived justice cultivates a shared social identity characterized by high levels of players’ identification with their team, which in turn increased their perceptions of the team’s task cohesion. Finally, this increased task cohesion encouraged the athlete leaders to demonstrate high-quality leadership. (shrink)

According to both the traditional model of folk psychology and the social intelligence hypothesis, our folk psychological notions of belief and desire developed in order to make better predictions of behavior, and the fundamental role for our folk psychological notions of belief and desire are for making more accurate predictions of behavior (than predictions made without appeal to folk psychological notions). My strategy in this paper is to show that these claims are false. I argue that we need (...) not appeal to mental states to make predictions of many behaviors, and I will offer a positive account of how we might go about predicting intentional behavior. Finally, I suggest that taken together, the critique of traditional folk psychology along with the alternative account of our predictive practices leads to a new hypothesis. While it may be true that mental state concepts developed in response to social-environmental pressures, I suggest that this pressure was more likely the need to explain behavior, rather than the need to predict it. (shrink)

It was meaningful to predict the customers' decision-making behavior in the field of market. However, due to individual differences and complex, non-linear natures of the electroencephalogram signals, it was hard to classify the EEG signals and to predict customers' decisions by using traditional classification methods. To solve the aforementioned problems, a recurrent t-distributed stochastic neighbor embedding neural network was proposed in current study to classify the EEG signals in the designed brand extension paradigm and to predict the participants' decisions. (...) The recurrent t-SNE neural network contained two steps. In the first step, t-SNE algorithm was performed to extract features from EEG signals. Second, a recurrent neural network with long short-term memory layer, fully connected layer, and SoftMax layer was established to train the features, classify the EEG signals, as well as predict the cognitive performance. The proposed network could give a good prediction with accuracy around 87%. Its superior in prediction accuracy as compared to a recurrent principal component analysis network, a recurrent independent component correlation algorithm [independent component analysis ] network, a t-SNE support vector machine network, a t-SNE back propagation neural network, a deep LSTM neural network, and a convolutional neural network were also demonstrated. Moreover, the performance of the proposed network with different activated channels were also investigated and compared. The results showed that the proposed network could make a relatively good prediction with only 16 channels. The proposed network would become a potentially useful tool to help a company in making marketing decisions and to help uncover the neural mechanisms behind individuals' decision-making behavior with low cost and high efficiency. (shrink)

Although less observable than the overt actions of fighting and assault, covert antisocial behaviors such as stealing and property destruction comprise an important subclass of externalizing behavior patterns, displaying considerable predictive power toward delinquency in adolescence. I discuss a laboratory paradigm for objective observation of such behaviors in children that has shown impressive concurrent and predictive validity among samples of boys with and without attention deficit hyperactivity disorder. Addressed herein are crucial questions regarding the ethics of tempting children to (...) steal objects and small amounts of money and to deface property as well as the types of informed consent and debriefing procedures utilized in research with this paradigm. Weighing ethical considerations alongside the ability to predict delinquent behavior presents provocative issues for those interested in understanding the development of antisocial behavior. (shrink)

We are living in a time of meta-organics and post-biology, where we perceive everything in our world as customizable and changeable. Modelling biology within a technological context allows us to investigate GEO-volutionary alternatives/alterations to our original natural systems, where augmentation and transmutation become standards in search of overall betterment (Genetically Engineered Organics). Our expectations for technology exceeds ubiquitous access and functional perfection and enters the world of technoetics, where our present hyper-functional, immersively multi-apped, borderline-prosthetic, global village devices fail to satiate (...) our desires to be synaptically surpassed. Most real-time interactive behavioural systems in art utilize two and three dimensions. Artificial neural networks and prediction (Latin: from pr- before plus dicere to say) systems give rise to experimentation within the third-plus-one (3+1) dimension of the spacetime continuum. Spacetime in accordance with string theory requires the where and when to describe something in existence, rather than mere points in space. It explains the workings of the universe from both super-galactic and subatomic levels. Physical cosmology studies the motions of the celestial bodies in relation to the first cause (ie. primum movens) or the source of all-being. In book 12 of Metaphysics, Aristotle spoke of something which moves without (itself) being moved (by anything), and referred to being as motion. In quantum mechanics, a particle is described by a wave. Physiognomy is an evolving area of psychological research that describes a direct correlation between human gesture (or movement) and thought. Early twentieth-century Persian philosopher Abdul-Baha mentioned that the reality of man is his thought, not his material body. Prediction systems apply models of the mind, or artificial neural networks and machine learning strategies, to use the recorded past with the present to anticipate the future. This article investigates existing human and artificial psychic systems in hopes of identifying tools necessary in building a gesture prediction system. The relationship of intent to gesture and whether intent can be perceived without the evidence of gesture are two factors that must be tested. (shrink)

Two decades ago, the introduction of the Implicit Association Test (IAT) sparked enthusiastic reactions. With implicit measures like the IAT, researchers hoped to finally be able to bridge the gap between self-reported attitudes on one hand and behavior on the other. Twenty years of research and several meta-analyses later, however, we have to conclude that neither the IAT nor its derivatives have fulfilled these expectations. Their predictive value for behavioral criteria is weak and their incremental validity over and above (...) self-report measures is negligible. In our review, we present an overview of explanations for these unsatisfactory findings and delineate promising ways forward. Over the years, several reasons for the IAT’s weak predictive validity have been proposed. They point to four potentially problematic features: First, the IAT is by no means a pure measure of individual differences in associations but suffers from extraneous influences like recoding. Hence, the predictive validity of IAT-scores should not be confused with the predictive validity of associations. Second, with the IAT, we usually aim to measure evaluation (“liking”) instead of motivation (“wanting”). Yet, behavior might be determined much more often by the latter than the former. Third, the IAT focuses on measuring associations instead of propositional beliefs and thus taps into a construct that might be too unspecific to account for behavior. Finally, studies on predictive validity are often characterized by a mismatch between predictor and criterion (e.g., while behavior is highly context-specific, the IAT usually takes into account neither situation nor domain). Recent research, however, also revealed advances addressing each of these problems, namely (1) procedural and analytical advances to control for recoding in the IAT, (2) measurement procedures to assess implicit wanting, (3) measurement procedures to assess implicit beliefs, and (4) approaches to increase the fit between implicit measures and behavioral criteria (e.g., by incorporating contextual information). Implicit measures like the IAT hold an enormous potential. In order to allow them to fulfill this potential, however, we have to refine our understanding of these measures, and we should incorporate recent conceptual and methodological advancements. This review provides specific recommendations on how to do so. (shrink)

Testimony about the future dangerousness of a person has become a central staple of many judicial processes. In settings such as bail, sentencing, and parole decisions, in rulings about the civil confinement of the mentally ill, and in custody decisions in a context of domestic violence, the assessment of a person’s propensity towards physical or sexual violence is regarded as a deciding factor. These assessments can be based on two forms of expert testimony: actuarial or clinical. The purpose of this (...) paper is to examine the scientific and epistemological basis of both methods of prediction or risk assessment. My analysis will reveal that this kind of expert testimony is scientifically baseless. The problems I will discuss will generate a dilemma for factfinders: on the one hand, given the weak predictive abilities of the branches of science involved, they should not admit expert clinical or actuarial testimony as evidence; on the other hand, there is a very strong tradition and a vast jurisprudence that supports the continued use of this kind of expert testimony. It is a clear case of the not so uncommon conflict between science and legal tradition. (shrink)

We investigated the relationship between guilt proneness and counterproductive work behavior (CWB) using a diverse sample of employed adults working in a variety of different industries at various levels in their organizations. CWB refers to behaviors that harm or are intended to harm organizations or people in organizations. Guilt proneness is a personality trait characterized by a predisposition to experience negative feelings about personal wrongdoing. CWB was engaged in less frequently by individuals high in guilt proneness compared to those (...) low in guilt proneness, controlling for other known correlates of CWB. CWB was also predicted by gender, age, intention to turnover, interpersonal conflict at work, and negative affect at work. Given the detrimental impact of CWB on people and organizations, it may be wise for employers to consider guilt proneness when making hiring decisions. (shrink)

The aim of this research was to establish linear relations (association and prediction) and inferential relations between three constructs at different levels of psychological research –executive dysfunction(microanalysis),self-regulation(molecular level), andself-vs.external regulation(molar level), in the prediction of emotion regulation difficulties. We hypothesized that personal and contextual regulatory factors would be negatively related to levels of executive dysfunction and emotion regulation difficulties; by way of complement, non-regulatory and dysregulatory personal, and contextual factors would be positively related to these same difficulties. To (...) establish relationships, we used a retrospective,ex postfacto design, where 298 university students voluntarily participated by completing standardized self-reports. Linear and structural correlational, predictive analyses were performed, as well as inferential analyses. Results were consistent and validated the proposed hypotheses, for both association and prediction. The most important result refers to the discriminant value of the five-level combination heuristic for predicting Executive Function and External (contextual) Dys-Regulation. In conclusion: (1) both personal and contextual regulation factors must be analyzed in order to better understand the variation in executive functions and emotion regulation difficulties; (2) it is important to continue connecting the different levels of the constructs referring to self-regulation, given their complementary role in the behavioral analysis of regulation difficulties. (shrink)

As software piracy continues to be a threat to the growth of national and global economies, understanding why people continue to use pirated software and learning how to discourage the use of pirated software are urgent and important issues. In addition to applying the theory of planned behavior (TPB) perspective to capture behavioral intention to use pirated software, this paper considers perceived risk as a salient belief influencing attitude and intention toward using pirated software. Four perceived risk components related (...) to the use of pirated software (performance, social, prosecution and psychological risks) have been identified, measured and tested. Data were collected through an online survey of 305 participants. The results indicate that perceived prosecution risk has an impact on intention to use pirated software, and perceived psychological risk is a strong predictor of attitude toward using pirated software. In addition, attitude and perceived behavior control contribute significantly to the intended use of pirated software. However, the proposed direct relationship between subjective norm and intention to use pirated software is not supported. Implications for research and practice are discussed. (shrink)

Three studies investigated implicit brand attitudes and their relation to explicit attitudes, prod- uct usage, and product differentiation. Implicit attitudes were measured using the Implicit As- sociation Test (IAT; Greenwald, McGhee, & Schwartz, 1998). Study 1 showed expected differ- ences in implicit attitudes between users of two leading yogurt brands, also revealing significant correlations between IAT-measured implicit attitudes and explicit attitudes. In Study 2, users of two fast food restaurants (McDonald’s and Milk Bar) showed implicit attitudi- nal preference for their (...) favorite restaurant. In Study 3, implicit attitudes of users of two soft drinks (Coca-Cola and Pepsi) predicted brand preference, product usage, and brand recognition in a blind taste test. A meta-analytic combination of the three studies showed that the use of IAT measures increased the prediction of behavior relative to explicit attitude measures alone. (shrink)

This groundbreaking work was the first to propose an inquiry into the forms, dynamics, and constructs of educational policy. This fine book remains the only treatment of educational policy incorporating an account of the differences between various kinds of educational goods. Professor Green explored the nature of policy and prospects for the future, and it is a rare treat that we can now (more than fifteen years later) revisit the text to discover his uncanny accuracy.

Many autistic behaviours can rightly be classified as adaptive, but why these behaviours differ from adaptive neurotypical behaviours in the same environment requires explanation. I argue that predictive processing accounts best explain why autistic people engage different adaptive responses to the environment and, further, account for evidence left unexplained by the social motivation theory.

The folk Psychology frames propositional attitudes as fundamental theoretical entities for the construction of a model designed to predict the behavior of a subject. A trivial, such as grasping a pen and writing reveals - something complex - about the behavior. When I take a pen and start writing I do, trivially, because I believe that a certain object in front of me is a pen and who performs a specific function that is, in fact, that of writing. (...) When I believe that the object that stands before me is a pen, I am in relation to "believe" with the propositional content: that in front of me is a pen. Philosophers of the proposition, from Frege onwards, have dedicated their studies to the analysis of what kinds of entities are the propositional attitudes. Jerry Fodor says that now, the proper prediction of the psychology of common sense, can not be questioned and that the propositional attitudes represent the most effective way to describe our behavior. What Fodor says, however, is that propositional attitudes function, but not how they work. Most philosophers interested in the issue, we are dedicated to the search for a theory that can account consistently both a semantics for propositional attitudes, both of these entities that seem to cause the behavior of a rational subject. There are two main paradigms in the theory of the proposition that contributed to the discussion of the propositional attitudes. One is the one that begins with Gottlob Frege, the other with Bertrand Russell. Defenders of Frege argue that the paradigm scrub objects and properties can not be constituents of the propositional content which have a purely conceptual. In other words, the philosophers belonging to the paradigm of Frege, but not all, mean that you can test in a rigorous way the truth conditions of propositional attitudes. Who defends the russellian’s paradigm argues that the propositional content are made by the objects and properties on which propositional attitudes relate. The purpose of this article is not to rebuild - in detail - both paradigms, nor to reconstruct one but, in a sense, my work will be a completely partial objective is to demonstrate how the paradigm is more profitable russell not only to make a coherent semantic theory for propositional attitudes2 but also to predict the behavior of a rational subject thing, completely innovative, given the repeated objections in contemporary literature3. At the end of this paper will be drafted a proposal to build a consistent model to predict the behavior,of a rational agent, based on a referential theory of propositional attitudes. (shrink)

I argue that the behavior of other agents is insufficiently described in current debates as a dichotomy between tacit theory (attributing beliefs and desires to predict behavior) and simulation theory (imagining what one would do in similar circumstances in order to predict behavior). I introduce two questions about the foundation and development of our ability both to attribute belief and to simulate it. I then propose that there is one additional method used to predict behavior, namely, (...) an inductive strategy. (shrink)

I argue that the behavior of other agents is insufficiently described in current debates as a dichotomy between tacit theory and simulation theory. I introduce two questions about the foundation and development of our ability both to attribute belief and to simulate it. I then propose that there is one additional method used to predict behavior, namely, an inductive strategy.

Many studies assume a significant relationship between intention and behavior. However, the data do not always support this assumption. This study used a modified version of social cognitive theory with self-evaluations as an intermediate variable to explore and resolve the problems associated with applying the theory of planned behavior to explain students’ adoption of technology for self-directed learning. We surveyed 285 college students who enrolled in an e-book publishing course using multifaceted technological learning tools. We found that, as (...) an intermediate variable, self-evaluation enhanced the influence of intentions on behavior and improved the accuracy of predictions of college students’ adoption of technology for self-directed learning. Students’ attitudes and perceived behavioral control were important factors influencing their adoption of technology for self-directed learning through their effects on intention; subjective norms were not important in this respect. (shrink)

ABSTRACTInspired by the discovery of positive age trends in emotional well-being across adulthood, lifespan researchers have uncovered fascinating age differences in cognition–emotion interactions in healthy adult samples, for example in emotion processing, memory, reactivity, perception, and regulation. Taking stock of this body of research, I identify four trends and five remaining gaps in our understanding of emotional functioning in adulthood. In particular, I suggest that the field should pay stronger attention to the prediction of real-world behaviour. Using the sample (...) case of work functioning, I outline gaps in current knowledge, including the lack of data on middle-aged adults, the neglect of relevant cognitive-emotional mechanisms, and the unclear role of life experience. Filling these gaps will enable progress in research on emotional aging in and beyond the work setting and enhance its practical utility for individuals, organisations, and society. (shrink)

The dissociation between statistical prediction and scientific explanation advanced by Bowers et al. for studies of vision using deep neural networks is also observed in several other domains of behavior research, and is in fact unavoidable when fitting large models such as deep nets and other supervised learners, with weak theoretical commitments, to restricted samples of highly stochastic behavioral phenomena.

This study is a comparison of the validity of theory of reasoned action and theory of planned behavior as applied to the area of moral behavior (i.e., illegal copying of software) using structural equation modeling. Data were collected from 181 university students on the various components of the theories and used to asses the influence of attitude, subjective norm, and perceived behavioral control on the intention to make unauthorized software copies. Theory of planned behavior was found to (...) be better than the theory of reasoned action in predicting unethical behavior. A modified version of the theory of planned behavior, with a causal path linking subjective norm to attitude, provided a significant improvement on model fit. The results indicated that perceived behavioral control is a better predictor of behavioral intention then attitude. The direct effect of subjective norm on behavioral intention was not significant, but the indirect effect through attitude was highly significant. Applicability of the theory of planned behavior for moral behavior and the implications for future research are discussed. (shrink)

The effects of climate change lead to increasing social injustice and hence justice is intrinsically linked to a socio-ecological transformation. In this study, we investigate whether justice sensitivity motivates pro-environmental intention and behavior and, if so, to what extent emotions and moral disengagement determine this process. For this purpose, we conducted two quota-sampling surveys. Multiple regression analyses in both studies suggest that a higher perception of injustice from a perpetrator’s, beneficiary’s, and observer’s perspective is associated with an increased PEI. (...) However, moral disengagement best predicted PEB and PEI. Guilt and authentic pride were found to be emotional predictors of PEI. Additionally, mediation analyses demonstrated that guilt mediates the connection between both perpetrator and beneficiary sensitivity and PEI. These results suggest that when the predominant originators of climate change perceive global climate injustice from the perspective of a beneficiary or a perpetrator, they experience guilt and have a higher PEI. Based on this mechanism, it seems promising to render global injustice more salient to those responsible for activities that lead to climate change to motivate them to adapt their behavior. The role of moral disengagement and victim sensitivity as barriers to pro-environmental behavior is discussed in this context. (shrink)

Advancement in internet of things and proliferation in the use of smart devices have raised concerns about the data privacy of online users. This study predicts the consequences of perceived data privacy risks on consumer behaviours in Lagos State, Nigeria using the integrated Entropy-Technique for Order Preference by Similarity to Ideal Solution. We employed Entropy to assign weights to each criterion. Subsequently, responses were systematically ranked to arrive at an inference using TOPSIS. 84.8% agree that any perceived cyber security threat (...) or a breach in their data privacy would stop them from proceeding with the transaction or activity online, or the use of a digital product. Similarly,, agree it is critical that online businesses only ask for customer information that is relevant to the use of the product or service. Thus, the findings indicate that the privacy paradox of enlightened online consumers tends to diminish when they are faced with perceived data privacy and cybersecurity risks. (shrink)

This study examines factors associated with the decision of Malaysian youth to participate in a voluntary urban agriculture program. Urban agriculture has generated significant interest in developing countries to address concerns over food security, growing urbanization and employment. While an abundance of data shows attracting the participation of young people in traditional agriculture has become a challenge for many countries, few empirical studies have been conducted on youth motivation to participate in urban agriculture programs, particularly in non-Western settings. Drawing on (...) the theories of planned behavior and the functional approach to volunteer motivation, we surveyed 890 students from a public university in Malaysia about their intention to join a new urban agriculture program. Hierarchical regression findings indicated that the strongest predictor of participation was students’ attitude toward urban agriculture, followed by subjective norms, career motives and perceived barriers to participation. The findings from this study may provide useful information to the university program planners in Malaysia in identifying mechanisms for future students’ involvement in the program. (shrink)

As traditional methods such as questionnaires for measuring risk propensity are not applicable in some scenarios, a nonintrusive method that could automatically identify individuals' risk propensity could be valuable. This study utilized Defense of the Ancients 2 single match data and historical statistics to train predictive models to identify risk propensity by machine learning methods. Self-reported risk propensity scores from 218 DOTA 2 players were paired with their behavioral metrics. The best-performing model occurred with Gaussian process regression. The root mean (...) square error of this model was 1.10, the correlation between predicted scores and self-reported questionnaire scores was 0.44, the R-squared was 0.17, and the test–retest reliability was 0.67. We discussed how selected behavioral features could contribute to predicting risk propensity and how the approach could be of potential value in the application of perceiving individuals' risk propensities. Moreover, the limitations of our study were discussed, and recommendations were made for future studies in this field. (shrink)

Shared bicycles are sustainable and effective transportation tools in college campuses. Accordingly, this study aimed to assess the behavioral intention of college students toward bike-sharing as an environmentally friendly and social mode of travel. It applied the Theory of Planned Behavior framework to a bike-sharing context and explored the impact of perceived benefits and government policy on college students’ bike-sharing usage. A survey of 934 college students was conducted in Zhejiang province to test the proposed model, and 782 were (...) valid. The findings pointed out that attitude, subjective norms, and perceived behavioral control have a significant and positive impact on college students’ intentions toward bike-sharing. Meanwhile, the empirical results revealed that perceived benefits and government policy were the important factors driving college students’ intention and behavior for bike-sharing usage. Moreover, the results ascertained that the intention was aligned with actual actions; eventually, some targeted managerial implications are presented. This study enhances the current understanding of the usage behavior of college students in bike-sharing and provides timely insights for government policymakers and enterprise operators to promote sustainable bike-sharing practices in China and other countries. (shrink)

In this paper, we argue for the centrality of prediction in the use of computational models in science. We focus on the consequences of the irreversibility of computational models and on the conditional or ceteris paribus, nature of the kinds of their predictions. By irreversibility, we mean the fact that computational models can generally arrive at the same state via many possible sequences of previous states. Thus, while in the natural world, it is generally assumed that physical states have (...) a unique history, representations of those states in a computational model will usually be compatible with more than one possible history in the model. We describe some of the challenges involved in prediction and retrodiction in computational models while arguing that prediction is an essential feature of non-arbitrary decision making. Furthermore, we contend that the non-predictive virtues of computational models are dependent to a significant degree on the predictive success of the models in question. (shrink)

Business Ethics: A European Review, EarlyView.

The Theory of Planned Behavior predicts that a combination of attitudes, perceived norms, and perceived behavioral control predict intentions, and that intentions ultimately predict behavior. Previous studies have found that the TPB can predict students’ engagement in plagiarism. Furthermore, the General Theory of Crime suggests that self-control is particularly important in predicting engagement in unethical behavior such as plagiarism. In Study 1, we incorporated self-control in a TPB model and tested whether norms, attitudes, and self-control predicted intention (...) to plagiarize and plagiarism behavior. The best statistical fit for the path-analytic model was achieved when a direct path from self-control to plagiarism engagement was specified. In Study 2, we added a measure of perceived behavioral control and split the measurement of norms into descriptive and injunctive components. This study found that both self-control and perceived-behavioral control additively contributed to the prediction of plagiarism and the path-analytic model achieved its best fit when direct paths from perceived norms to plagiarism behavior were specified. These studies suggest that setting strong anti-plagiarism norms, such as by the use of honor codes, and seeking to enhance students’ self-control may reduce engagement in plagiarism. (shrink)

In economic unethical decision-making experiments, one important methodological investigation is what types of contexts should be used to frame the instructions. Within the experimental economics community, using neutral-context instructions instead of loaded-context instructions is the mainstream practice. Because the loaded contexts may impact behavior in an unpredictable manner and therefore, put experimental control at risk. Nevertheless, using the loaded-context instructions could be advantageous in several ways. A properly framed context can help to facilitate learning and gain ecological validity. The (...) challenge is whether we can identify when and why the loaded context may alter behavior. In this paper, we aim to test if being familiar with a loaded context can systematically influence unethical decisions in a bribery game. We conduct a laboratory bribery game experiment with three different treatments: the neutral-context treatment, the familiar-context treatment, and the unfamiliar-context treatment. Using the neutral-context treatment as a benchmark, we find that participants in the familiar-context treatment express stronger negative attitudes toward corruption. Attitudes toward unethical behavior are the same in the neutral-context treatment and the unfamiliar-context treatment. Behaviorally, the participants in the familiar-context treatment are much less likely to engage in corrupt activities. The neutral-context treatment and the unfamiliar-context treatment produce the same behavioral outcome. (shrink)

Building on the emotion-centered model of voluntary work behavior, this research tests the relations between leader narcissism, followers’ malicious and benign envy, and supervisor-targeted counterproductive work behavior. Results across five studies, two experimental studies, and two field surveys indicate that leader narcissism relates positively to followers’ negative emotions, which in turn mediates the positive relation between leader narcissism and supervisor-targeted CWB. Proposed negative relations between leader narcissism and positive emotions were only partly supported. Our findings advance the understanding (...) of envy and the detrimental impact of leader narcissism on organizational functioning. (shrink)

The purpose of this study was to extend the knowledge about why procedural justice (PJ) has behavioral implications within organizations. Since prior studies show that PJ leads to legitimacy, the author suggests that, when formal regulations are unfairly implemented, they lose their validity or efficacy (becoming deactivated even if they are formally still in force). This "rule deactivation," in turn, leads to two proposed destructive work behaviors, namely, workplace deviance and decreased citizenship behaviors (OCBs). The results support this mediating role (...) of PJD, thus suggesting that it forms part of the generative mechanism through which unfair procedures influence (un) ethical behavior within organizations. The author ends the article by discussing behavioral ethics and managerial implications as well as suggestions for future research. (shrink)