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"Rewards"
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Digital badges
Describes how digital badges work and how to begin earning them, and also teaches readers how to create and award badges of their own to people who accomplish amazing tasks.
Book
Cognitive processes, rewards and online knowledge sharing behaviour: the moderating effect of organisational innovation
Purpose
Online knowledge sharing is a critical process for maintaining organisational competitive advantage. This paper aims to develop a new conceptual framework that investigates the moderating impacts of innovation on self-efficacy, extrinsic and intrinsic rewards on employees’ online knowledge sharing behaviour in public and private sector companies.
Design/methodology/approach
This research analysed 200 responses to test the moderating effects of organisational innovation on the relationship between self-efficacy and rewards and online knowledge sharing behviours. The analysis was carried out using component-based partial least squares (PLS) approach and SmartPLS 3 software.
Findings
The results reveal that self-efficacy significantly affects online knowledge sharing behaviour in firms, regardless of the organisation type. Extrinsic rewards encourage employees in private companies to share knowledge online, whereas intrinsic rewards work effectively in public companies. Additionally, the study found the moderating role of organisational innovation in examining the relationship between rewards and online knowledge sharing behaviour.
Research limitations/implications
Future research may consider different dimensions such as knowledge donating and collecting behaviours as well as motives, such as self-enjoyment, reciprocity or social interaction ties, which may be investigated to get a deeper understanding of online knowledge sharing behaviour.
Practical implications
Firms must tailor training and rewards to suit employees’ abilities and needs so as to align with organisation type and innovation.
Originality/value
The study’s distinctive contribution is the under-researched context of Vietnamese public and private sector banks for investigating the moderating effects of organisational innovation on micro and meso factors on online knowledge sharing behaviour.
Journal Article
Exercising self-control increases responsivity to hedonic and eudaimonic rewards
Abstract
The reward responsivity hypothesis of self-control proposes that irrespective of self-control success, exercising self-control is aversive and engenders negative affect. To countermand this discomfort, reward-seeking behavior may be amplified after bouts of self-control, bringing individuals back to a mildly positive baseline state. Previous studies indicated that effort—an integral component of self-control—can increase reward responsivity. We sought to test and extend the reward responsivity hypothesis by asking if exercising self-control increases a neural marker of reward responsivity [Reward Positivity (RewP)] differentially for hedonic rewards or eudaimonic rewards. We instructed participants (N = 114) to complete a speeded reaction time task where they exercised self-control (incongruent Stroop trials) or not (congruent Stroop trials) and then had the opportunity to win money for themselves (hedonic rewards) or a charity (eudaimonic rewards) while electroencephalography was recorded. Consistent with the reward responsivity hypothesis, participants evinced a larger RewP after exercising self-control (vs. not exercising self-control). Participants also showed a larger RewP for hedonic over eudaimonic rewards. Self-control and reward type did not interactively modulate RewP, suggesting that self-control increases reward responsivity in a domain-general manner. The findings provide a neurophysiological mechanism for the reward responsivity hypothesis of self-control and promise to revitalize the relevant literature.
Journal Article
Cerebellar granule cells encode the expectation of reward
A sizable fraction of granule cells convey information about the expectation of reward, with different populations responding to reward delivery, anticipation and omission, with some responses evolving over time with learning.
Reward response in granule cells
Classical theories suggest that granule cells in the cerebellum carry sensory and motor signals, enabling downstream Purkinje cells to sense fine contextual changes relating to movement. Using two-photon calcium imaging in behaving mice, Liqun Luo and colleagues also show that a sizable fraction of granule cells convey information about the expectation of reward. Different populations responded to reward delivery, anticipation and omission and some responses evolved over time with learning. The discovery of reward-related signals in granule cells has implications for both models of sensorimotor learning and of cognitive processing in the cerebellum.
The human brain contains approximately 60 billion cerebellar granule cells
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, which outnumber all other brain neurons combined. Classical theories posit that a large, diverse population of granule cells allows for highly detailed representations of sensorimotor context, enabling downstream Purkinje cells to sense fine contextual changes
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,
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. Although evidence suggests a role for the cerebellum in cognition
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, granule cells are known to encode only sensory
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and motor
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context. Here, using two-photon calcium imaging in behaving mice, we show that granule cells convey information about the expectation of reward. Mice initiated voluntary forelimb movements for delayed sugar-water reward. Some granule cells responded preferentially to reward or reward omission, whereas others selectively encoded reward anticipation. Reward responses were not restricted to forelimb movement, as a Pavlovian task evoked similar responses. Compared to predictable rewards, unexpected rewards elicited markedly different granule cell activity despite identical stimuli and licking responses. In both tasks, reward signals were widespread throughout multiple cerebellar lobules. Tracking the same granule cells over several days of learning revealed that cells with reward-anticipating responses emerged from those that responded at the start of learning to reward delivery, whereas reward-omission responses grew stronger as learning progressed. The discovery of predictive, non-sensorimotor encoding in granule cells is a major departure from the current understanding of these neurons and markedly enriches the contextual information available to postsynaptic Purkinje cells, with important implications for cognitive processing in the cerebellum.
Journal Article
Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students
While the discussion on generative artificial intelligence, such as ChatGPT, is making waves in academia and the popular press, there is a need for more insight into the use of ChatGPT among students and the potential harmful or beneficial consequences associated with its usage. Using samples from two studies, the current research examined the causes and consequences of ChatGPT usage among university students. Study 1 developed and validated an eight-item scale to measure ChatGPT usage by conducting a survey among university students (N = 165). Study 2 used a three-wave time-lagged design to collect data from university students (N = 494) to further validate the scale and test the study’s hypotheses. Study 2 also examined the effects of academic workload, academic time pressure, sensitivity to rewards, and sensitivity to quality on ChatGPT usage. Study 2 further examined the effects of ChatGPT usage on students’ levels of procrastination, memory loss, and academic performance. Study 1 provided evidence for the validity and reliability of the ChatGPT usage scale. Furthermore, study 2 revealed that when students faced higher academic workload and time pressure, they were more likely to use ChatGPT. In contrast, students who were sensitive to rewards were less likely to use ChatGPT. Not surprisingly, use of ChatGPT was likely to develop tendencies for procrastination and memory loss and dampen the students’ academic performance. Finally, academic workload, time pressure, and sensitivity to rewards had indirect effects on students’ outcomes through ChatGPT usage.
Journal Article
Blunted reward prediction error signals in internet gaming disorder
Internet gaming disorder (IGD) is a type of behavioural addictions. One of the key features of addiction is the excessive exposure to addictive objectives (e.g. drugs) reduces the sensitivity of the brain reward system to daily rewards (e.g. money). This is thought to be mediated via the signals expressed as dopaminergic reward prediction error (RPE). Emerging evidence highlights blunted RPE signals in drug addictions. However, no study has examined whether IGD also involves alterations in RPE signals that are observed in other types of addictions.
To fill this gap, we used functional magnetic resonance imaging data from 45 IGD and 42 healthy controls (HCs) during a reward-related prediction-error task and utilised a psychophysiological interaction (PPI) analysis to characterise the underlying neural correlates of RPE and related functional connectivity.
Relative to HCs, IGD individuals showed impaired reinforcement learning, blunted RPE signals in multiple regions of the brain reward system, including the right caudate, left orbitofrontal cortex (OFC), and right dorsolateral prefrontal cortex (DLPFC). Moreover, the PPI analysis revealed a pattern of hyperconnectivity between the right caudate, right putamen, bilateral DLPFC, and right dorsal anterior cingulate cortex (dACC) in the IGD group. Finally, linear regression suggested that the connection between the right DLPFC and right dACC could significantly predict the variation of RPE signals in the left OFC.
These results highlight disrupted RPE signalling and hyperconnectivity between regions of the brain reward system in IGD. Reinforcement learning deficits may be crucial underlying characteristics of IGD pathophysiology.
Journal Article
Unintended reward costs: the effectiveness of customer referral reward programs for innovative products and services
To encourage customers’ referral behavior and expand their customer base, providers of innovative products and services often use customer referral reward programs (CRPs), though not all CRPs deliver on their initial promise. With one field experiment and four online experiments, this research investigates the effectiveness of rewarded referrals for recruiting new customers for more innovative (versus less innovative) offerings and outlines the conditions in which public referral rewards have unintended ramifications and decrease customers’ referral likelihood. In addition to establishing these effects for more innovative offerings, this research identifies some moderating consequences, such that the detrimental effect of referral rewards on referral behavior can be attenuated by not disclosing referral rewards (for recommenders) to referral recipients, increasing the referral reward size, and rewarding both recommenders and referral recipients. These findings have theoretical and managerial implications.
Journal Article