Exploring Online Double Deviation Effect from Psychological Contract Violation, Emotion, and Power Perspectives

Service recovery is a critical moment of truth in retaining customers and reinforcing customer relationships, and has been considered as an “Achilles\u27 heel” in online marketplaces. Poor service recoveries exacerbate the negative effects of the failure, producing a “double deviation” effect. The double deviation effect may arise from the seller’s power misuse and then dissolve the buyer-seller relationship (e.g., violate consumer psychological contract), elicit consumer negative emotions which lead to customer coping behaviors. This study links the theories of psychological contract violation (PCV), emotion, and coping from the power perspective to investigate the double deviation scenario in online auction marketplaces. Two moderators (perceived power and perceived consumer empowerment) are considered in our proposed model. Data collected from 190 consumers of one auction website provide support for the proposed model. The results shed light on what constitutes the determinants of consumer judgments while facing double deviation scenario and how consumers react to and cope with it in online marketplaces. Finally, implications and limitations are discussed in the last part of this paper. Available at: https://aisel.aisnet.org/pajais/vol6/iss1/4

The Neurobiological Pathogenesis of Poststroke Depression

Poststroke depression (PSD) is an important consequence after stroke, with negative impact on stroke outcome. The pathogenesis of PSD is complicated, with some special neurobiological mechanism, which mainly involves neuroanatomical, neuron, and biochemical factors and neurogenesis which interact in complex ways. Abundant studies suggested that large lesions in critical areas such as left frontal lobe and basal ganglia or accumulation of silent cerebral lesions might interrupt the pathways of monoamines or relevant pathways of mood control, thus leading to depression. Activation of immune system after stroke produces more cytokines which increase glutamate excitotoxicity, results in more cell deaths of critical areas and enlargement of infarctions, and, together with hypercortisolism induced by stress or inflammation after stroke which could decrease intracellular serotonin transporters, might be the key biochemical change of PSD. The interaction among cytokines, glucocorticoid, and neurotrophin results in the decrease of hippocampal neurogenesis which has been proved to be important for mood control and pharmaceutical effect of selective serotonin reuptake inhibitors and might be another promising pathway to understand the pathogenesis of PSD. In order to reduce the prevalence of PSD and improve the outcome of stroke, more relevant studies are still required to clarify the pathogenesis of PSD

The Wigner Solution and QCD Phase Transitions in a Modified PNJL Model

By employing some modification to the widely used two-flavor Polyakov-loop extended Nambu-Jona-Lasinio (PNJL) model, we discuss the Wigner solution of the quark gap equation at finite temperature and zero quark chemical potential beyond the chiral limit, and then try to explore its influences on the chiral and deconfinement phase transitions of QCD at finite temperature and zero chemical potential. The discovery of the coexistence of the Nambu and the Wigner solutions of the quark gap equation with nonzero current quark mass at zero temperature and zero chemical potential, as well as their evolutions with temperature is very interesting for the studies of the phase transitions of QCD. According to our results, the chiral phase transition might be of first order (while the deconfinement phase transition is still a crossover, as in the normal PNJL model), and the corresponding phase transition temperature is lower than that of the deconfinement phase transition, instead of coinciding with each other, which are not the same as the conclusions obtained from the normal PNJL model. In addition, we also discuss the sensibility of our final results on the choice of model parameters

ANTECEDENTS OF CITIZENSHIP BEHAVIORS IN OPEN PROFESSIONAL VIRTUAL COMMUNITIES

As with organizational development, citizenship behavior should be central to the development and success of open professional virtual communities (OPVC). An increasing literature emphasizes on predicting knowledge contribution behaviors in virtual communities from the extrinsic and intrinsic motivation or benefit perspectives. In line with the consumer behavior literature that distinguishes between hedonic and utilitarian shopping values, we classify these motivations or benefits of knowledge sharing into either hedonic or utilitarian. We propose and test a theoretical model in which hedonic value and utilitarian value are operationalized as formative second-order constructs and examine their effects on members’ satisfaction with sharing knowledge and citizenship behaviors in an open professional virtual community. Data collected from 428 members of one OPVC provide support for the proposed model. The results help understanding how utilitarian value and hedonic value differ in their relationships with satisfaction and VCCB of knowledge contributors. Implications for theory and practice and limitations are discussed

Exploring Consumers’ Coping Behaviors in Online Double Deviation Scenarios: From Power Perspective

Service recovery is a critical moment of truth in retaining customers and reinforcing customer relationships, and has been considered as an “Achilles\u27 heel” in online marketplaces. Poor service recoveries exacerbate the negative effects of the failure, producing a “double deviation” effect. The double deviation effect may arise from the seller’s power misuse and then dissolve the buyer-seller relationship (e.g., violate consumer psychological contract), elicit consumer negative emotions which lead to customer coping behaviors. This study links the theories of psychological contract violation (PCV), emotion, and coping from the power perspective to investigate the double deviation scenario in online auction marketplaces. Two moderators (perceived power and perceived consumer empowerment) are considered in our proposed model. Data collected from 181 consumers of one auction website provide support for the proposed model. The results shed light on what constitutes the determinants of consumer judgments while facing double deviation scenario and how consumers react to and cope with it in online marketplaces. Implications and limitations are discussed

A resonant feature near the Perseus arm revealed by red clump stars

We investigate the extinction together with the radial velocity dispersion and distribution of red clump stars in the anti-center direction using spectra obtained with Hectospec on the MMT. We find that extinction peaks at Galactocentric radii of about 9.5 and 12.5 kpc, right in front of the locations of the Perseus and Outer arms and in line with the relative position of dust and stars in external spiral galaxies. The radial velocity dispersion peaks around 10kpc, which coincides with the location of the Perseus arm, yields an estimated arm-interarm density contrast of 1.3-1.5 and is in agreement with previous studies. Finally, we discover that the radial velocity distribution bifurcates around 10-11 kpc into two peaks at +27 km/s and -4 km/s. This seems to be naturally explained by the presence of the outer Lindblad resonance of the Galactic bar, but further observations will be needed to understand if the corotation resonance of the spirals arms also plays a role.Comment: 8 pages, 2 figures, accepted for publication in ApJ

An Improved Fuzzy Brain Emotional Learning Model Network Controller for Humanoid Robots

The brain emotional learning (BEL) system was inspired by the biological amygdala-orbitofrontal model to mimic the high speed of the emotional learning mechanism in the mammalian brain, which has been successfully applied in many real-world applications. Despite of its success, such system often suffers from slow convergence for online humanoid robotic control. This paper presents an improved fuzzy BEL model (iFBEL) neural network by integrating a fuzzy neural network (FNN) to a conventional BEL, in an effort to better support humanoid robots. In particular, the system inputs are passed into a sensory and emotional channels that jointly produce the final outputs of the network. The non-linear approximation ability of the iFBEL is achieved by taking the BEL network as the emotional channel. The proposed iFBEL works with a robust controller in generating the hand and gait motion of a humanoid robot. The updating rules of the iFBEL-based controller are composed of two parts, including a sensory channel followed by the updating rules of the conventional BEL model, and the updating rules of the FNN and the robust controller which are derived from the "Lyapunov" function. The experiments on a three-joint robot manipulator and a six-joint biped robot demonstrated the superiority of the proposed system in reference to a conventional proportional-integral-derivative controller and a fuzzy cerebellar model articulation controller, based on the more accurate and faster control performance of the proposed iFBEL

Fabrication of multianalyte CeO2 nanograin electrolyte–insulator–semiconductor biosensors by using CF4 plasma treatment

Multianalyte CeO2 biosensors have been demonstrated to detect pH, glucose, and urine concentrations. To enhance the multianalyte sensing capability of these biosensors, CF4 plasma treatment was applied to create nanograin structures on the CeO2 membrane surface and thereby increase the contact surface area. Multiple material analyses indicated that crystallization or grainization caused by the incorporation of flourine atoms during plasma treatment might be related to the formation of the nanograins. Because of the changes in surface morphology and crystalline structures, the multianalyte sensing performance was considerably enhanced. Multianalyte CeO2 nanograin electrolyte–insulator–semiconductor biosensors exhibit potential for use in future biomedical sensing device applications

A recurrent emotional CMAC neural network controller for vision-based mobile robots

Vision-based mobile robots often suffer from the difficulties of high nonlinear dynamics and precise positioning requirements, which leads to the development demand of more powerful nonlinear approximation in controlling and monitoring of mobile robots. This paper proposes a recurrent emotional cerebellar model articulation controller (RECMAC) neural network in meeting such demand. In particular, the proposed network integrates a recurrent loop and an emotional learning mechanism into a cerebellar model articulation controller (CMAC), which is implemented as the main component of the controller module of a vision-based mobile robot. Briefly, the controller module consists of a sliding surface, the RECMAC, and a compensator controller. The incorporation of the recurrent structure in a slide model neural network controller ensures the retaining of the previous states of the robot to improve its dynamic mapping ability. The convergence of the proposed system is guaranteed by applying the Lyapunov stability analysis theory. The proposed system was validated and evaluated by both simulation and a practical moving-target tracking task. The experimentation demonstrated that the proposed system outperforms other popular neural network-based control systems, and thus it is superior in approximating highly nonlinear dynamics in controlling vision-based mobile robots