Rewarding Research Articles

Barriers in adopting green human resource management under uncertainty: the case of Indonesia banking industry

PurposeThis study investigates the barriers to adopting green human resource management (GHRM) under uncertain conditions by integrating the resource-based view (RBV) and stakeholder theory.Design/methodology/approachA board of experts, which consisted of 28 practitioners and two academics, was invited to participate in the research. The fuzzy Delphi and fuzzy decision-making trials and evaluation laboratory were utilized to achieve the study's objectives.FindingsThe findings indicate that barriers encompass 14 criteria and five attributes. Among the 14 criteria, the banking industry's lack of green culture, lack of trust in green benefits, employee's capacity to change, lack of support from top management and absence of a comprehensive plan to implement GHRM are significant barriers. The attributes are management, human resources, organizational, regulatory and customer barriers.Practical implicationsImplementing GHRM in Indonesian banking necessitates practical policies and gradual adaptation strategies. Companies should establish standard operating procedures, reward systems and periodic habit changes to embed green practices effectively.Originality/valueThis study is among the first to employ stakeholder theory and the RBV in examining the barriers to green human resources adoption in the banking industry.

Utilizing Reinforcement Contingencies to Enhance Behavioral Outcomes in Incarcerated Youth: Roles of Behavior Management and Staff Interactions in Reducing Readmission

Long-term placement could be stressful for youth, who may exhibit problem behaviors such as non-compliance in facilities. This study demonstrates that the consistent involvement of staff in modifying the youths’ behaviors, through a reward system featuring plus points and minus points as responses to particular behaviors, significantly influenced the likelihood of readmission. Furthermore, the research revealed that post-release contact with staff lowered the risk of readmission for non-student youths, highlighting the supportive staff-youth relationships in mitigating recidivism, particularly for the majority of youths detached from educational systems. These findings emphasize the importance of reinforcement and supportive interactions within youth corrections.

How to Choose the Best Job for You

This Viewpoint provides practicing clinicians who are considering choosing a new employer with guidance about questions relevant to evaluating governance, rewards systems, and culture.

Precision Network Modeling of Transcranial Magnetic Stimulation Across Individuals Suggests Therapeutic Targets and Potential for Improvement.

Higher-order cognitive and affective functions are supported by large-scale networks in the brain. Dysfunction in different networks is proposed to associate with distinct symptoms in neuropsychiatric disorders. However, the specific networks targeted by current clinical transcranial magnetic stimulation (TMS) approaches are unclear. While standard-of-care TMS relies on scalp-based landmarks, recent FDA-approved TMS protocols use individualized functional connectivity with the subgenual anterior cingulate cortex (sgACC) to optimize TMS targeting. Leveraging previous work on precision network estimation and recent advances in network-level TMS targeting, we demonstrate that clinical TMS approaches target different functional networks between individuals. Homotopic scalp positions (left F3 and right F4) target different networks within and across individuals, and right F4 generally favors a right-lateralized control network. We also modeled the impact of targeting the dorsolateral prefrontal cortex (dlPFC) zone anticorrelated with the sgACC and found that the individual-specific anticorrelated region variably targets a network coupled to reward circuitry. Combining individualized, precision network mapping and electric field (E-field) modeling, we further illustrate how modeling can be deployed to prospectively target distinct closely localized association networks in the dlPFC with meaningful spatial selectivity and E-field intensity and retrospectively assess network engagement. Critically, we demonstrate the feasibility and reliability of this approach in an independent cohort of participants (including those with Major Depressive Disorder) who underwent repeated sessions of TMS to distinct networks, with precise targeting derived from a low-burden single session of data. Lastly, our findings emphasize differences between selectivity and maximal intensity, highlighting the need to consider both metrics in precision TMS efforts.

Merit recruitment, professional advancement opportunities and prosocial rule-breaking among public servants in Greece

Abstract Public servants have a significant impact on peoples’ lives, but we don’t have many reliable estimates of how many employees engage in prosocial rule-breaking (PSRB), a form of constructive deviance. We collected original survey data (N = 497) among a representative sample of Greek public servants and implemented a list experiment to gauge how pervasive PSRB is in Greece’s public sector. Greece is a particularly useful setting in which to study PSRB as the euro crisis created strong reform pressure. We find that public servants who were hired via merit competitions are not less likely to break rules, but this is conditional on their beliefs about career prospects and the fairness of the promotion system. They perceive the professional reward system as biased towards those with political connections and compensate for lack of efficiency by doing favours. This finding raises concerns about the quality of EU reform assessments.

Abstinence from cocaine self-administration promotes microglia pruning of astrocytes which drives cocaine-seeking behavior.

Rodent drug self-administration leads to compromised ability of astrocytes to maintain glutamate homeostasis within the brain's reward circuitry, as well as reductions in surface area, volume, and synaptic colocalization of astrocyte membranes. However, the mechanisms driving astrocyte responses to cocaine are unknown. Here, we report that long-access cocaine self-administration followed by prolonged home cage abstinence results in decreased branching complexity of nucleus accumbens astrocytes, characterized by the loss of peripheral processes. Using a combination of confocal fluorescence microcopy and immuno-gold electron microscopy, we show that alterations in astrocyte structural features are driven by microglia phagocytosis, as labeled astrocyte membranes are found within microglia phagolysosomes. Inhibition of complement C3-mediated phagocytosis using the neutrophil inhibitory peptide (NIF) rescued astrocyte structure and decreased cocaine seeking behavior following cocaine self-administration and abstinence. Collectively, these results provide evidence for microglia pruning of accumbens astrocytes across cocaine abstinence which mediates cocaine craving.

Mapless navigation via Hierarchical Reinforcement Learning with memory-decaying novelty

Hierarchical Reinforcement Learning (HRL) has shown superior performance for mapless navigation tasks. However, it remains limited in unstructured environments that might contain terrains like long corridors and dead corners, which can lead to local minima. This is because most HRL-based mapless navigation methods employ a simplified reward setting and exploration strategy. In this work, we propose a novel reward function for training the high-level (HL) policy, which contains two components: extrinsic reward and intrinsic reward. The extrinsic reward encourages the robot to move towards the target location, while the intrinsic reward is computed based on novelty, episode memory and memory decaying, making the agent capable of accomplishing spontaneous exploration. We also design a novel neural network structure that incorporates an LSTM network to augment the agent with memory and reasoning capabilities. We test our method in unknown environments and specific scenarios prone to the local minimum problem to evaluate the navigation performance and local minimum resolution ability. The results show that our method significantly increases the success rate when compared to advanced RL-based methods, achieving a maximum improvement of nearly 28%. Our method demonstrates effective improvement in addressing the local minimum issue, especially in cases where the baselines fail completely. Additionally, numerous ablation studies consistently confirm the effectiveness of our proposed reward function and neural network structure.

ExSelfRL: An exploration-inspired self-supervised reinforcement learning approach to molecular generation

Efficiently searching for novel molecules with specific properties is critical to molecular generation. Some existing works focus on combining deep generative models and reinforcement learning to generate molecules with targeted properties, but there is still the problem of reduced model effectiveness due to sparse rewards. To address the problem, an exploration-inspired self-supervised reinforcement learning (ExSelfRL) method for molecular generation is proposed. By constructing an exploration-inspired reward-shaping framework, ExSelfRL can effectively mine the intrinsic rewards in the molecule generation process based on novelty. Then, driven by intrinsic and primitive sparse rewards, ExSelfRL establishes a self-supervised reinforcement learning agent capable of exploring a broader chemical space to find molecules with better properties. In addition, a dominant set of molecules is defined from the sampled molecules that can further improve their property scores. The experimental results illustrate that ExSelfRL can generate molecules with higher property scores than existing methods.

Neural dynamics underlying the illusion of control during reward processing.

The illusion of control refers to a behavioral bias in which people believe they have greater control over completely stochastic events than they actually do, leading to an inflated estimate of reward probability than objective probability warrants. In this study, we examined how reward system is modulated by the illusion of control through the lens of neural dynamics. Participants in a behavioral task exhibited a classical illusion of control, assigning a higher value to the gambling wheels they picked themselves than to those given randomly. An event-related potential study of the same task revealed that this behavioral bias is associated with reduced reward anticipation, as indexed by the stimulus-preceding negativity, diminished positive prediction error signals, as reflected by the reward positivity, and enhanced motivational salience, as revealed by the P300. Our findings offer a mechanistic understanding of the illusion of control in terms of reward dynamics.

Investigating the role of mental imagery use in the assessment of anhedonia

ABSTRACT Anhedonia, or a deficit in the liking, wanting, and seeking of rewards, is typically assessed via self-reported “in-the-moment” emotional and motivational responses to reward stimuli and activities. Given that mental imagery is known to evoke emotion and motivational responses, we conducted two studies to investigate the relationship between mental imagery use and self-reported anhedonia. Using a novel Reward Response Scale (adapted from the Dimensional Anhedonia Rating Scale, DARS; Rizvi et al., 2015) modified to assess deliberate and spontaneous mental imagery use, Study 1 (N = 394) compared uninstructed and instructed mental imagery use, and Study 2 (N = 586) conducted a test of replication of uninstructed mental imagery use. Results showed that greater mental imagery use was associated with higher reward response scores (Study 1 & 2), and this relationship was not moderated by whether imagery use was uninstructed or instructed (Study 1). Importantly, mental imagery use moderated the convergence between reward response and depression scale measures of anhedonia, with lower convergence for those reporting higher mental imagery use (Study 1 & 2). Results suggest that higher spontaneous mental imagery use may increase self-reported reward response and reduce the convergence between reward response scale and depression questionnaire measures of anhedonia. [199 / 200 words]

The Hand That Rocks the Cradle: Revaluing Academic Labor and Recognizing the Centrality of Carework

Abstract This paper examines the often-overlooked yet crucial role of carework within the academic ecosystem. Challenging the dominant paradigm that prioritizes research output, the paper argues for recognizing academic labor as a spectrum where teaching, research, and service hold equal value. Drawing on Rajan's (2023) framework of “academic carework,” the paper demonstrates the inseparable link between care and knowledge, highlighting how carework forms the foundation for knowledge production and reproduction. The analysis situates academic careworkers within the complex administrative landscape of higher education institutions, exploring the challenges posed by managerialism and external pressures. The paper introduces the “Argument from Shared Paradigm,” positing that academics, through their shared experiences and values, are uniquely positioned to advocate for and safeguard care-centered practices in research and teaching. By recognizing carework's essential contributions, this paper calls for a re-evaluation of academic reward systems and a shift towards a more inclusive academic culture.

EFFECT OF INCENTIVE SYSTEM MANAGEMENT ON EMPLOYEE PERFORMANCE OF SELECTED DEPOSIT MONEY BANKS IN CROSS RIVER STATE, NIGERIA

This study examine the effect of incentive system management on employee performance of selected deposit money banks in Cross River State, Nigeria. The study used structured questionnaires from the six selected deposit money banks in the study area. The researcher used multiple regression analysis to analyze the data obtained from the selected banks. The result of the study shows that the first variables of the study, pay-rise has a positive and significant effects on employee performance and the effect is statistically significant (p0.05). Bonus has a negative but insignificant effect on employee performance in the study area. Recognition has a positive effects on employee performance and the effect is statistically significant (p0.05) and in line with a priori expectation. The researcher concluded that incentive appeal to employees in a completely different manner. Thus, the use of appropriate incentive system is key to achieving organizational outcomes. The researcher recommends that the use of a combination of more than one reward system such as recognition and pay-rise is needed to improve employee performance in the study area.

Opioid drug seeking after early-life adversity: a role for delta opioid receptors

Opioid use disorder (OUD) is associated with a history of early-life adversity (ELA), an association that is particularly strong in women. In a rodent model, we previously found that ELA enhances risk for opioid addiction selectively in females, but the mechanisms for this effect are unclear. Here, we show that ELA robustly alters cFos responses to opioid drugs in females’ nucleus accumbens (NAc) and basolateral amygdala (BLA), but not elsewhere. We further identify delta opioid receptors (DOR), which mature in the first week of life and thus later than kappa or mu opioid receptors, as a potential mediator of ELA's impacts on reward circuit functions. Accordingly, DOR mRNA in NAc was persistently reduced in adult females with ELA history. Moreover, pharmacological stimulation of NAc DORs increased opioid demand in control females (recapitulating the ELA phenotype), while blocking DORs in ELA females conversely reduced high-effort drug consumption, simulating the control rearing phenotype. These findings support a role for NAc DORs in mediating ELA-induced opioid vulnerability. In contrast, BLA neurons expressing DOR protein do not overlap heroin- responsive cells in ELA rats, arguing against a direct relationship of BLA DORs to heroin's addiction-relevant actions in the brain. Together, these results suggest a novel and selective role for NAc DORs in contributing to enduring, ELA-provoked vulnerability to OUD.

Sex differences in glutamate transmission and plasticity in reward related regions.

Disruptions in glutamate homeostasis within the mesolimbic reward circuitry may play a role in the pathophysiology of various reward related disorders such as major depressive disorders, anxiety, and substance use disorders. Clear sex differences have emerged in the rates and symptom severity of these disorders which may result from differing underlying mechanisms of glutamatergic signaling. Indeed, preclinical models have begun to uncover baseline sex differences throughout the brain in glutamate transmission and synaptic plasticity. Glutamatergic synaptic strength can be assessed by looking at morphological features of glutamatergic neurons including spine size, spine density, and dendritic branching. Likewise, electrophysiology studies evaluate properties of glutamatergic neurons to provide information of their functional capacity. In combination with measures of glutamatergic transmission, synaptic plasticity can be evaluated using protocols that induce long-term potentiation or long-term depression. This review will consider preclinical rodent literature directly comparing glutamatergic transmission and plasticity in reward related regions of males and females. Additionally, we will suggest which regions are exhibiting evidence for sexually dimorphic mechanisms, convergent mechanisms, or no sex differences in glutamatergic transmission and plasticity and highlight gaps in the literature for future investigation.

Two sides of the same coin? What neural processing of emotion and rewards can tell us about complex post-traumatic stress disorder and borderline personality disorder

BackgroundBorderline personality disorder (BPD) and complex posttraumatic stress disorder (cPTSD) share clinical similarities, complicating diagnosis and treatment. Research on the neurobiology of BPD and monotraumatic PTSD has shown that a prefrontal-limbic imbalance in emotional and reward processing is a hallmark of both disorders, but studies examining this network in cPTSD are lacking. Therefore, this study aimed to directly compare neural processing of emotion and reward during decision making in cPTSD and BPD. MethodsUsing functional magnetic resonance imaging, we measured neural activity in female patients (27 patients with cPTSD, 21 patients with BPD and 37 healthy controls) during a Desire-Reason Dilemma task featuring distracting fearful facial expressions. ResultsWe found no differences in neural activation when comparing cPTSD and BPD. However, when grouping patients based on symptom severity instead on diagnosis, we found that increased symptoms of cPTSD were associated with increased activation of dorsolateral prefrontal cortex during reward rejection, whereas increased symptoms of BPD were associated with decreased activation in prefrontal and limbic regions during reward rejection with distracting negative emotional stimuli. ConclusionThis is the first study to investigate and compare emotional processing and reward-based decision making in cPTSD and BPD. Although we found no neural differences between disorders, we identified symptom-related neural patterns. Specifically, we found that elevated cPTSD symptoms were related to greater sensitivity to reward stimuli, whereas heightened BPD symptoms were related to increased susceptibility to emotional stimuli during goal-directed decision making. These findings enhance our understanding of neural pathomechanisms in trauma-related disorders.

The Value of Work: The Gendered Outcomes of Organizational Wage Reforms

ABSTRACT This study explores the influence of organizational practices on gender in/equality in a unique setting: the reformed Israeli kibbutz. The transition of the kibbutz from all members receiving an allowance to waged labor provides an opportunity to explore the impact of wage determination systems on gender pay inequality. The study uses a mixed-method approach: descriptive statistics of administrative data, in-depth interviews, and a focus group with kibbutz management. The findings demonstrate that a “market-based logic,” embedded with gendered preconceptions of “women’s work,” can seep into an organization through a shift in the wage determination system, and increase gender inequality. The findings also highlight the lack of organizational awareness about the gendered consequences of this shift, or even their uncritical acceptance of the “value hierarchy” as ordained by the market. The study thus supports the theory positing gender as a hidden but integral aspect of reward systems in contemporary labor markets. HIGHLIGHTS The choice of a wage determination system is critical for gender inequality. “Women’s work” is valued higher by analytical job evaluation systems, which reduce gender biases. Market-based wage determinations introduce biases and increase organizational gender inequality. Management prefers market-based wage determinations due to competition and costs. The “free market” not only obscures gender hierarchies but also legitimizes them.

Delay discounting and nucleus accumbens functional connectivity are related to weight status in adolescents from the ABCD study.

Despite the growing epidemic of paediatric obesity, questions remain regarding potential neural mechanisms for individual risk. Delay discounting is a cognitive process of comparison of valuation between immediate and delayed reward, which has been inconsistently linked to weight status. Moreover, central to the brain's reward system is the nucleus accumbens, a region structurally and functionally altered in obesity. This study aimed to examine the relationships between two continuous metrics of weight status, performance on a monetary delay-discounting task and nucleus accumbens functional connectivity in 10-12-year-olds from the Adolescent Brain and Cognitive Development (ABCD) Study. Using multilevel longitudinal linear modelling, we found greater discounting was associated with higher BMI Z-scores (BMIz) and waist-to-height ratio Z-scores (WHtRz) (N = 3819). Moreover, we observed functional connectivity of the nucleus accumbens to the cingulo-opercular, dorsal attention, fronto-parietal, salience and ventral attention networks were predictive of BMIz (N = 1817). Nucleus accumbens functional connectivity was not found to mediate the association between delay-discounting behaviour and BMIz. Delay discounting and nucleus accumbens functional connectivity are independently related to weight status in a large sample of early adolescents. A better understanding of the relationship between reward and overeating behaviours may better inform obesity interventions.

Influence of intrinsic rewards on working memory allocation

Influence of intrinsic rewards on working memory allocation

Neural adaptation of the reward system in primary dysmenorrhea.

Introduction: The brain's reward system (RS) reacts differently to pain and its alleviation. This study examined the correlation between RS activity and behavior during both painful and pain-free periods in individuals with primary dysmenorrhea (PDM) to elucidate their varying responses throughout the menstrual cycle. Methods: Ninety-two individuals with PDM and 90 control participants underwent resting-state functional magnetic resonance imaging (rsfMRI) scans during their menstrual and peri-ovulatory phases. Regional homogeneity (ReHo) and amplitude of low-frequency fluctuation (ALFF) analyses were used to evaluate RS responses. Psychological evaluations were conducted using the McGill Pain Questionnaire and the Pain Catastrophizing Scale. Results: ReHo analysis showed higher values in the left putamen and right amygdala of the PDM group during the peri-ovulatory phase compared to the menstrual phase. ALFF analysis revealed lower values in the putamen of the PDM group compared to controls, regardless of phase. ReHo and ALFF values in the putamen, amygdala, and nucleus accumbens were positively correlated with pain scales during menstruation, while ALFF values in the ventral tegmental area inversely correlated with pain intensity. Those with severe PDM (pain intensity ≥7) displayed distinct amygdala ALFF patterns between pain and pain-free phases. PDM participants also had lower ReHo values in the left insula during menstruation, with no direct correlation to pain compared to controls. Discussion: Our study highlights the pivotal role of the RS in dysmenorrhea management, exhibiting varied responses between menstrual discomfort and non-painful periods among individuals with PDM. During menstruation, the RS triggers mechanisms for pain avoidance and cognitive coping strategies, while it transitions to processing rewards during the peri-ovulatory phase. This demonstrates the flexibility of the RS in adapting to the recurring pain experienced by those with PDM.

Self-contrastive Learning-optimized General Agent for long-tailed fault diagnosis of shipboard antennas leveraging adaptive data distribution

To address the challenges of low accuracy and limited generalization in long-tailed fault diagnosis, an adaptive data distribution-based reinforcement learning General Agent is proposed. The method primarily targets more discriminative, domain-invariant feature learning by pre-training the deep Q-network with unlabeled positive samples. Supervisory signals derived from the data’s intrinsic structure enhance class boundary detection while maximizing intra-class feature similarity. Next, empirical data prioritization based on state-action values and TD-error enables efficient utilization of rare but critical experiences, significantly improving sampling efficiency. Concurrently, an adaptive distribution strategy refines a hierarchical reward system by dynamically calibrating the reward function according to real-time accuracy feedback. The deep Q-network, structured with ResNet as the backbone, integrates Efficient Channel Attention (ECA) and Global Attention Mechanism (GAM) to enhance decision-making robustness. Tested on a long-tailed shipboard antenna dataset, the proposed method autonomously identifies fault patterns, demonstrating clear advantages in efficiency, robustness, generalization, and interpretability.