Search results for "Regret"
showing 10 items of 31 documents
Prevalence and predictors of secondary traumatic stress symptoms in health care professionals working with trauma victims: A cross-sectional study
2021
Introduction Medical personnel is an occupational group that is especially prone to secondary traumatic stress. The factors conditioning its occurrence include organizational and work-related factors, as well as personal features and traits. The aim of this study was to determine Secondary Traumatic Stress (STS) indicators in a group of medical personnel, considering occupational load, job satisfaction, social support, and cognitive processing of trauma. Material and methods Results obtained from 419 medical professionals, paramedics and nurses, were analyzed. The age of study participants ranged from 19 to 65 (M = 39.60, SD = 11.03). A questionnaire developed for this research including q…
Dazing Diversity: Investigating the Determinants and Consequences of Decision Paralysis
2012
This article makes new contributions to the assessment of negative effects on consumer choice behavior due to high product variety by (1) developing a holistic framework to identify the determinants and, for the first time, consequences of decision paralysis; (2) introducing a novel construct, namely, tendencies toward paralysis, that refers to the extent of decision makers’ preference (a) to maintain the status quo, (b) to omit, and/or (c) to delay choice, as well as providing an appropriate measurement model incorporating these three dimensions of decision paralysis that previously have been analyzed only separately; and (3) analyzing potential moderating effects of decision makers’ predi…
A model of buyer regret: Selected prepurchase and postpurchase antecedents with consequences for the brand and the channel
2007
Abstract This research examines how two prepurchase stages of the buyer decision process–information search and alternative evaluation–and two postpurchase stages–evaluation of product and service attributes–influence buyer regret. The study extends prior consequences of regret to include purchase intentions toward both brand and the channel. Tested in a field sample of luxury automobile purchasers, results show that higher information search and alternative evaluation lead to more buyer regret; lower evaluations of service (but not product) attributes lead to more regret; and regret's consequences include reduced intentions to repurchase either the brand or from the dealership. Buyers who …
When satisfied consumers do not return: Variety seeking’s effect on short- and long-term intentions
2012
Even satisfied consumers frequently do not come back, which challenges loyalty theory and marketing practice. It is reasoned that variety-seeking tendencies will significantly affect short-term revisit intentions, whereas satisfaction and regret will mostly determine long-term revisit intentions. Thus, the influence of satisfaction on loyalty is hypothesized to be critically dependent on the time perspective of the intentions, now or later, and variety seeking. A representative survey (N = 400) in eight Spanish cities supported these predictions. Multivariate moderated-mediation analyses revealed that indeed the influence of satisfaction, regret, and variety seeking critically depends on th…
A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems
2008
The two-armed Bernoulli bandit (TABB) problem is a classical optimization problem where an agent sequentially pulls one of two arms attached to a gambling machine, with each pull resulting either in a reward or a penalty. The reward probabilities of each arm are unknown, and thus one must balance between exploiting existing knowledge about the arms, and obtaining new information. In the last decades, several computationally efficient algorithms for tackling this problem have emerged, with learning automata (LA) being known for their ?-optimality, and confidence interval based for logarithmically growing regret. Applications include treatment selection in clinical trials, route selection in …
Making and breaking relationships on social media: the impacts of brand and influencer betrayals
2021
This study considers how the relationships between social media influencers, brands and individuals are intertwined on social media and analyses the spill-over effects of feelings of betrayal. An experimental design with two transgression scenarios (influencer vs. brand) was created, and 250 individuals were recruited to participate in the study. The results show that a perceived betrayal by a brand can negatively affect the perceived coolness of the social media influencer that has endorsed the brand, as well as the parasocial relationships that followers have with the influencer. Accordingly, a perceived betrayal by a social media influencer can negatively affect attitudes, trust and purc…
Changing driver behavior during floods: Testing a novel e-health intervention using implementation imagery
2021
Abstract We tested the efficacy of a novel implementation imagery intervention (N = 460) in promoting safer intentions regarding driving into floodwater post-intervention, and at a four-week follow-up using a pre-registered randomized controlled design. Results showed that the intervention reduced intentions and subjective norms regarding driving into floodwater. The control condition also improved on intentions and subjective norms, but the changes appeared to only be maintained at the follow-up for the intervention group and the between group difference at the follow-up was not significant based on our pre-specified cutoff level for statistical significance of 0.01. Results also indicated…
Effects of dissatisfaction in tourist services: The role of anger and regret
2011
Abstract Dissatisfied customers due to a service failure probably will switch the provider, will complain and/or will spread negative word-of-mouth. However, to what extent some specific emotions triggered by dissatisfaction can mediate between the latter and the previous mentioned behaviours? A sample of 359 users of restaurants and 308 users of hotel services has shown that, whereas anger has a significant influence on the three behaviours under study, regret only affects switching and negative word-of-mouth. Furthermore, slight differences between hotels and restaurants have been found because, in the case of restaurants, anger is not an antecedent of switching whereas regret has an inve…
A Reinforcement Learning Approach for User Preference-aware Energy Sharing Systems
2021
Energy Sharing Systems (ESS) are envisioned to be the future of power systems. In these systems, consumers equipped with renewable energy generation capabilities are able to participate in an energy market to sell their energy. This paper proposes an ESS that, differently from previous works, takes into account the consumers’ preference, engagement, and bounded rationality. The problem of maximizing the energy exchange while considering such user modeling is formulated and shown to be NP-Hard. To learn the user behavior, two heuristics are proposed: 1) a Reinforcement Learning-based algorithm, which provides a bounded regret and 2) a more computationally efficient heuristic, named BPT- ${K}…
Dynamic Regret Analysis for Online Tracking of Time-varying Structural Equation Model Topologies
2020
Identifying dependencies among variables in a complex system is an important problem in network science. Structural equation models (SEM) have been used widely in many fields for topology inference, because they are tractable and incorporate exogenous influences in the model. Topology identification based on static SEM is useful in stationary environments; however, in many applications a time-varying underlying topology is sought. This paper presents an online algorithm to track sparse time-varying topologies in dynamic environments and most importantly, performs a detailed analysis on the performance guarantees. The tracking capability is characterized in terms of a bound on the dynamic re…