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Following the theory of emotional events, this paper aims to use the bright triad and the dark tetrad as representations to investigate the role of positive and negative personality patterns in achieving positive and negative innovation. The study also examines the mediating role of emotional intelligence and abusive supervision and the interactive role of emotional exhaustion in understanding the relationship between positive and negative personality patterns and positive and negative innovation.

To test the hypotheses of the study model, a set of questionnaires was distributed to a sample of 500 medical officers working in different departments of public hospitals in southern Iraq. The data were analysed using the structured equation model.

The results of the current study confirm previous studies on emotional intelligence because the bright triad negatively associates with negative innovation and positively associates with positive innovation. Meanwhile, the dark tetrad positively associates with negative innovation through abusive supervision, and that emotional exhaustion reinforces the negative side and weakens the positive side of the relationships.

This study contributes to the literature by emphasising that the values represented by the bright triad have a strong readiness to show positive innovation and immunity to negative influence caused by abusive supervision. Meanwhile, the negative emotions of the dark tetrad pattern result in negative patterns because they correlate with negative innovation and the avoidance of positive behaviour, which is escalated by abusive supervision.

Artificial intelligence (AI) has become a pivotal technology in both marketing and daily life. Despite extensive research on the benefits of AI, its adverse effects on customers have received limited attention.

We employed meta-analysis to synthesise effect sizes from 45 studies encompassing 50 independent samples (N = 19,503) to illuminate the negative facets of AI's impact on customer responses.

Adverse effects of AI, including privacy concern, perceived risks, customer alienation, and uniqueness neglect, have a negative and significant effect on customers' cognitive (perceived benefit, trust), affective (attitude and satisfaction) and behavioural responses (purchase, loyalty, well-being). Additionally, moderators in AI (online versus offline), customer (age, male vs. female), product (hedonic vs. utilitarian, high vs. low involvement), and firm level (service vs. manufacturing) and national level (individualism, power distance, masculinity, uncertainty avoidance, long-term orientation) moderate these relationships.

Our findings inform marketing managers about the drawbacks of utilising AI as part of their value proposition and provide recommendations on how to minimise these effects in different contexts. Additionally, policymakers need to consider the dark side of AI, especially among the vulnerable groups.

This paper is among the first research studies that synthesise previous research on the dark side of AI, providing a comprehensive view of its diminishing impact on customer responses.

In 1990, Salovey and Mayer presented a framework for emotional intelligence (EI). This marked the beginning of 20 years of academic research, development, and debate on the subject of EI. A significant amount of previous research has attempted to draw out the relationship between EI and leadership performance. EI has been a uniquely controversial area of the social sciences. EI is based on three simple yet fundamental premises. This manuscript reviews the definitions and models in the field of EI with special emphasis on the Mayer ability model and the connection between EI and leadership. The paper aims to discuss these issues.

This paper takes the form of a literature review.

EI appears to have a foothold in both our popular vernacular and our academic lexicon. However, it is not entirely clear what future form it will take.

This manuscript explores the current relationship between EI and leadership, discusses the various instruments and scales used to measure the construct, and examines the controversy and criticism surrounding EI. Finally, it illuminates some areas for additional research.

The purpose of this study is to investigate consumers' emotional responses to artificial intelligence (AI) defeating people. Meanwhile, the authors investigate the negative spillover effect of AI defeating people on consumers' attitudes toward AI companies. The authors also try to alleviate this spillover effect.

Using four studies to test the hypotheses. In Study 1, the authors use the fine-tuned Bidirectional Encoder Representations from the Transformers algorithm to run a sentiment analysis to investigate how AI defeating people influences consumers' emotions. In Studies 2 to 4, the authors test the effect of AI defeating people on consumers' attitudes, the mediating effect of negative emotions and the moderating effect of different intentions.

The authors find that AI defeating people increases consumers' negative emotions. In terms of downstream consequences, AI defeating people induces a spillover effect on consumers' unfavorable attitudes toward AI companies. Emphasizing the intention of helping people can effectively mitigate this negative spillover effect.

The authors' findings remind governments, policymakers and AI companies to pay attention to the negative effect of AI defeating people and take reasonable steps to alleviate this negative effect. The authors help consumers rationally understand this phenomenon and correctly control and reduce unnecessary negative emotions in the AI era.

This paper is the first study to examine the adverse effects of AI defeating humans. The authors contribute to research on the dark side of AI, the outcomes of competition matches and the method to analyze emotions in user-generated content (UGC).

Practitioners and management researchers have chorused the salvific tendencies of spiritual intelligence. Whilst the emergence of spirituality and its derivatives in the workplace is widely acclaimed, the conflict that exists between spiritual ideals and the capitalist ethos of modern organisations raises questions about dark manifestations. This incongruence necessitates the consideration of the misuse of spiritual intelligence.

This paper adopts conceptual lens and theoretical arguments to interrogate the assumption of absolute constructiveness that is accorded spiritual intelligence in its framing and discusses the potential of a dark side.

The dark side of spiritual intelligence is its deployment to achieve self-serving purposes, to harm, rather than to help others. More practitioners and management researchers must acknowledge that spiritual intelligence and workplace spirituality may have dark manifestations and incorporate this reality in the assessment of organisations and the individuals within them.

This exploratory article joins the sparse extant literature on the dark side of spiritual intelligence and workplace spirituality. It contributes to the literature by offering critical insights into spiritual intelligence and the need to integrate the potential for misuse in the existing models.

The purpose of this paper is to clarify whether the dark side of personality adds information beyond the bright side when predicting career success.

In total, 287 participants (150♀, M_age=37.74 and SD_age=10.38) completed questionnaires on the Dark Triad (narcissism, Machiavellianism and psychopathy) and the Big Five (emotional stability, extraversion, openness, agreeableness and conscientiousness). They also provided information on their objective (salary and leadership position) and subjective (job satisfaction and satisfaction with income) career success. Regression analyses were used to estimate the Dark Triad’s incremental predictive value.

The results show that the Dark Triad only provides incremental information beyond the Big Five when predicting salary (ΔR²=0.02*) and leadership position (ΔR²=0.04*). In contrast, the Dark Triad does not explain unique variance when predicting job satisfaction or satisfaction with income.

The exclusive use of self-rated success criteria may increase the risk of same-source biases. Thus, future studies should include ratings derived from multiple perspectives.

Considering the Dark Triad in employee selection and development seems particularly promising in the context of competitive behaviour.

The results are discussed in light of the socioanalytic theory. This may help to better understand behaviour in organisational contexts.

This study is the first that simultaneously investigates all three traits of the Dark Triad and the Big Five in combination with objective and subjective career success. In addition, it extends previous findings by answering the question of whether the Dark Triad offers incremental or redundant information to the Big Five when predicting success.

This study aims to examine the relationships between personal (emotional intelligence, Dark Triad (DT), core self-evaluation and burnout) and situational variables (organizational justice) and organizational citizenship behavior (OCB) (supervisor report) and counterproductive work behavior (CWB) (self-report).

In total, 680 questionnaires were distributed to teachers in 20 Arab elementary schools in Northern Israel. Usable questionnaires were returned by 509 teachers (75%). The questionnaires covered emotional intelligence, DT, core self-evaluation, organizational justice, burnout, CWB and demographic characteristics. Their principals filled out questionnaires on the teachers’ in-role performance and OCB.

Results showed that CWB was mostly related to higher levels of psychopathy, lower levels of emotional intelligence (ability to use emotions) and higher levels of burnout (emotional exhaustion). OCB was related to higher levels of procedural justice, lower levels of burnout and higher levels of emotional intelligence.

Organizations should consider ways to reduce burnout, which may reduce CWB and increase perceptions of justice, thereby promoting OCB.

Two novel aspects are noteworthy. First, this study simultaneously examines both CWB and OCB to clarify the similarities and differences between them. Second, few studies have examined the correlates of CWB and OCB in Arab culture.

The role of dark side personality characteristics in the workplace has received increasing attention in the organizational sciences and from leadership researchers in particular. We provide a review of this area, mapping out the key frameworks for assessing the dark side. We pay particular attention to the roles that the dark side plays in leadership processes and career dynamics, with special attention given to destructive leadership. Further, we examine the role that stress plays in the emergence of leaders and how the dark side plays into that process. We additionally provide discussion of the possible roles that leaders can play in producing stress experiences for their followers. We finally illustrate a dynamic model of the interplay of dark leadership, social relationships, and stress in managerial derailment. Throughout, we emphasize a functionalist account of these personality characteristics, placing particular focus on the motives and emotional capabilities of the individuals under discussion.

Despite knowledge of the destructive effect of abusive supervision on several individual and organizational outcomes, the construct remains scarcely investigated, especially in Indian organizations. Drawing upon the conservation of resources theory, the purpose of this paper is to explore the linkage between abusive supervision (an interpersonal stressor) and subordinate’s intention to quit and to focuss on the moderating role of subordinate’s emotional intelligence as a neutralizer in curbing the pernicious effect of abusive supervision on subordinate’s intention to quit.

The participants of this study were 353 healthcare professionals working in a large Indian hospital chain having all India presence. The authors have collected data on our predictor and criterion variables at two time points with a separation of three to four weeks for reducing common method bias (Podsakoff et al., 2012). At Time 1, participants rated the perception of their supervisor’s abusiveness and answered few demographic questions. At Time 2, participants completed measures of intention to quit and their emotional intelligence.

The finding of this study corroborates the assertion that subordinates who perceive their supervisors to be abusive have higher intension to quit organization. But surprisingly, this study reports that the moderating effect of emotional intelligence showed stronger relationship between abusive supervision and intention to quit when emotional intelligence is high than low.

Organization should take serious note of supervisors or managers that are abusive or are perceived to be abusive by their subordinates. As it is impossible to completely eradicate abusive and deviant supervisory behaviors at workplace, these toxic behaviors can be checked at several levels like hiring people high on emotional intelligence and through imparting emotional intelligence training and counseling to both the accused and the victim.

The study finds support to the relationship between abusive supervision and intention to quit in Indian context. The finding of this study fails to empirically corroborate the assumption that emotional intelligence will act as a neutralizer in mitigating the pernicious effect of abusive supervision on subordinates’ intention to quit.