Free will, temptation, and self-control: We must believe in free will, we have no choice (Isaac B. Singer).

Baumeister, Sparks, Stillman, and Vohs (2007) sketch a theory of free will as the humanability to exert self-control. Self-control can produce goal-directed behavior, which free will conceptualized as random behavior cannot. We question whether consumer psychology can shed light on the ontological question of whether free will exists. We suggest that it is more fruitful for consumer psychology to examine consumers' belief in freewill. Specifically, we propose that this belief arises from consumers' phenomenological experience of exercising self-control in the face of moral or intertemporal conflicts of will. Based on extant literature in philosophy, psychology, and economics, we offer both a narrower conceptualization of the nature of self-control problems and a more general conceptualization of self-control strategies, involving not only will power but also precommitment. We conclude with a discussion of the consequences of consumers' belief in free will.

Free will, temptation, and self-control: We must believe in free will. We have no choice (Isaac B. Singer).

Baumeister, Sparks, Stillman, and Vohs (2007), sketch a theory of free will as the human ability to exert self-control. Self-control can produce goal-directed behavior, which free will conceptualized as random behavior cannot. We question whether consumer psychology can shed light on the ontological question of whether free will exists. We suggest that it is more fruitful for consumer psychology to examine consumer's belief in free will. Specifically, we propose that this belief arises from customers' phenomenological experience of exercising self-control in the face of moral or intertemporal conflicts of will. Based on extant literature in philosophy, psychology, and economics, we offer both a narrower conceptualization of the nature of self-control problems and a more general conceptualization of self-control strategies, involving not only willpower but also precommitment. We conclude with a discussion of the consequences of consumer's belief in free will.Research; Theory; Self-control; Behavior; IT; Experience; philosophy; Economics; Problems; Strategy;

How AI can learn from the law: putting humans in the loop only on appeal

While the literature on putting a “human in the loop” in artificial intelligence (AI) and machine learning (ML) has grown significantly, limited attention has been paid to how human expertise ought to be combined with AI/ML judgments. This design question arises because of the ubiquity and quantity of algorithmic decisions being made today in the face of widespread public reluctance to forgo human expert judgment. To resolve this conflict, we propose that human expert judges be included via appeals processes for review of algorithmic decisions. Thus, the human intervenes only in a limited number of cases and only after an initial AI/ML judgment has been made. Based on an analogy with appellate processes in judiciary decision-making, we argue that this is, in many respects, a more efficient way to divide the labor between a human and a machine. Human reviewers can add more nuanced clinical, moral, or legal reasoning, and they can consider case-specific information that is not easily quantified and, as such, not available to the AI/ML at an initial stage. In doing so, the human can serve as a crucial error correction check on the AI/ML, while retaining much of the efficiency of AI/ML’s use in the decision-making process. In this paper, we develop these widely applicable arguments while focusing primarily on examples from the use of AI/ML in medicine, including organ allocation, fertility care, and hospital readmission

O Efeito da Sinalização de Qualidade no Contexto de Serviços

Signaling theory states that signals are firms’ actions that communicate information about the quality of a product. The main purpose of this research is to investigate the effect of signal quality in a service context, through the investigation of the signaling effects of price and responsiveness in a service context. Perceived behavior control, regarded as an individual's perception of the ability to perform a behavior, was proposed as a moderator between signaling variables and perceived quality. Two experimental studies with factorial and inter-subject designs were conducted in order to test the hypotheses formulated from the literature review. Results from both experiments show that signaling quality through price and responsiveness can affect perceived quality. The second experiment supports the hypothesis of perceived behavior control moderation between price as a signaling variable and perceived quality, but not between responsiveness and perceived quality. These results and their implications are discussed in the final section of the paper

The interplay between experiential and traditional learning for competency development

Extensive research demonstrated that firms may pursue several advantages in hiring individuals with the set of emotional, social, and cognitive (ESC) competencies that are most critical for business success. Therefore, the role of education for competency development is becoming paramount. Prior studies have questioned the traditional methods, grounded in the lecture format, as a way to effectively develop ESC competencies. Alternatively, they propose experiential learning techniques that involve participants in dedicated courses or activities. Despite the insights provided by these studies, they do not take into account a comprehensive set of learning methods and their combined effect on the individual's competency portfolio within educational programs that aim to transfer primarily professional skills. Our study aims to fill these gaps by investigating the impact of the interplay between different learning methods on ESC competencies through a sample of students enrolled in the first year of a master's degree program. After providing a classification of three learning methods [traditional learning (TL), individual experiential learning (IEL), and social experiential learning (SEL)], the study delves into their combined influence on ESC competencies, adopting the Artificial Neural Network. Contrary to prior studies, our results provide counterintuitive evidence, suggesting that TL needs to be implemented together, on the one hand, with IEL to achieve a significant effect on emotional competencies and, on the other hand, with SEL to have an impact on social competencies. Moreover, IEL plays a prominent role in stimulating cognitive competencies. Our research contributes to educational literature by providing new insights on the effective combination of learning methods that can be adopted into programs that transfer technical knowledge and skills to promote behavioral competencies