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PurposeGrounded on the cognition–affect–conation (C–A–C) framework, this study aims to explore how perceived information overload affects the information avoidance intention of social media users through fatigue, frustration and dissatisfaction.Design/methodology/approach/methodology/approachA quantitative research design is adopted. The data collected from 254 respondents in China are analyzed via structural equation modeling (SEM).FindingsPerceived information overload directly affects fatigue, frustration and dissatisfaction among social media users, thereby affecting their information avoidance intention. In addition, frustration significantly affects social media fatigue and dissatisfaction. Consequently, social media fatigue influences dissatisfaction among users.Originality/valueThe literature review indicates that social media overload and fatigue yield negative behavioral outcomes, including discontinuance. However, rather than completely abstaining or escaping, social media users adopt moderate strategies, including information avoidance, to cope with overload and fatigue owing to their high dependence on social media. Unfortunately, merely few studies are available on the information avoidance behavior of social media users. Focusing on this line of research, the current study develops a model to investigate the antecedents of information avoidance in social media.

The distinction between hard and soft skills has long been a topic of debate in the field of psychology, with hard skills referring to technical or practical abilities, and soft skills relating to interpersonal capabilities. This paper explores the generic composition of any skill, proposing a unified framework that consists of five distinct components: knowledge, active cognition, conation, affection, and sensory-motor abilities. Building upon previous research and theories, such as Hilgard’s “Trilogy of Mind”, the generic skill components approach aims to provide a comprehensive understanding of the structure and composition of any skill, whether hard or soft. By examining these components and their interactions, we can gain a more in-depth understanding of the nature of skills and their development. This approach has several potential applications and implications for various fields, including education, training, and workplace productivity. Further research is needed to refine and expand upon the generic skill components theory, exploring the interactions between the different components, as well as the impact of contextual factors on skill development and use.

PurposeBased on the cognition–affect–conation pattern, this study explores the factors that affect the intention to use facial recognition services (FRS). The study adopts the driving factor perspective to examine how network externalities influence FRS use intention through the mediating role of satisfaction and the barrier factor perspective to analyze how perceived privacy risk affects FRS use intention through the mediating role of privacy cynicism.Design/methodology/approachThe data collected from 478 Chinese FRS users are analyzed via partial least squares-based structural equation modeling (PLS-SEM).FindingsThe study produces the following results. (1) FRS use intention is motivated directly by the positive affective factor of satisfaction and the negative affective factor of privacy cynicism. (2) Satisfaction is affected by cognitive factors related to network externalities. Perceived complementarity and perceived compatibility, two indirect network externalities, positively affect satisfaction, whereas perceived critical mass, a direct network externality, does not significantly affect satisfaction. In addition, perceived privacy risk generates privacy cynicism. (3) Resistance to change positively moderates the relationship between privacy cynicism and intention to use FRS.Originality/valueThis study extends knowledge on people's use of FRS by exploring affect- and cognitive-based factors and finding that the affect-based factors (satisfaction and privacy cynicism) play fully mediating roles in the relationship between the cognitive-based factors and use intention. This study also expands the cognitive boundaries of FRS use by exploring the functional condition between affect-based factors and use intention, that is, the moderating role of resistance to use.

PurposeThis paper aims to investigate investors' willingness to use robo-advisors from customers' perspectives and analyzes the factors that drive them to use robo-advisors, including perceived usefulness and emotional response.Design/methodology/approachThe authors extend the Cognition-Affect-Conation (CAC) framework to the behavioral domain of robo-advisor users on financial technology platforms and conduct an empirical study based on 248 valid questionnaires.FindingsThe authors find two types of factors driving the willingness to use robo-advisors: perceived usefulness, trust and perceived risk as external driving forces and investor sentiment as an internal driving force. Trust has a significant positive effect on willingness to use, and arousal in emotional response plays a mediating role between perceived usefulness and willingness to use.Originality/valueThis research provides valuable insights for financial institutions to engage in robo-advisor innovation from customers' perspectives.

The objective of the present research was twofold: (1) to provide a new definition of ethical competence, and (2) to clarify the influence of empathy, personal values, and the five-factor model of personality on ethical competence. The present research provides a comprehensive overview about recent approaches and empirically explores the interconnections of these constructs. 366 German undergraduate students were examined in a cross-sectional study that investigated the relationship of empathy, personal values, and the five-factor model of personality with moral judgment competence and counterproductive work behavior as indicators of moral judgment and behavior. We found self-transcendence values to be related to both, high levels of empathy and ethical competence, in contrast to self-enhancement values. Multiple mediation analysis revealed unique effects of empathy on ethical competence through values as mediators. Affective (but not cognitive) empathy transmitted its effect on ethical competence through benevolence, conformity, tradition, power, and hedonism. Most importantly, perspective taking lost its predictive power when investigated alongside affective empathy dimensions. These results converge to an important role of affective empathy, in particular empathic concern, with regard to personal values and ethical competence. Furthermore, the five-factor model of personality explained variance in measures of ethical competence. Our research suggests that organizational decision makers should consider the role of empathy, personal values, and the five-factor model in their human resource management in order to select employees with high ethical competence.

As competition in business-to-consumer e-commerce becomes fiercer, Web-based stores are attempting to attract consumers' attention by exploiting state-of-the-art technologies. Virtual reality (VR) on the Internet has been gaining prominence recently because it enables consumers to experience products realistically over the Internet, thereby mitigating the problems associated with consumers' lack of physical contact with products. However, while the employment of VR has increased in B2C e-commerce, its impact has not been explored extensively by research in the IS field. This study investigates whether and under what circumstances VR enhances consumer learning about products. In general, VR enables consumers to learn about products thoroughly by providing high-quality three-dimensional images of products, interactivity with the products, and increased telepresence. In addition, congruent with the theory of cognitive fit, the effects of VR are more pronounced when it exhibits products whose salient attributes are completely apparent through visual and auditory cues (because most VR on desktop computers uses only those two sensory modalities to deliver information). Based on these attributes, we distinguish between two types of products-namely, virtually high experiential (VHE) and virtually low experiential (VLE) products-in terms of the sensory modalities that are used and required for product inspection. Hypotheses arising from the distinctions expressed by these terms were tested via a laboratory experiment. The results support the predictions that VR interfaces increase overall consumer learning about products and that these effects extend to VHE products more significantly than to VLE products.

PurposeThe discontinuous usage behavior of short video social media presents an ongoing challenge to platform development. The purpose of this study is to investigate the antecedents of intentions to short media discontinuous usage.Design/methodology/approachThis study adopts a Cognition–Affection–Conation (CAC) framework to analyze short video social media discontinuous intention on the basis of cognitive dissonance theory (CDT) and self-efficacy theory. The empirical evaluation of the research model was conducted using SmartPLS 2.0 and was based on questionnaire data obtained from participants in China.FindingsThe results show information overload and user addiction have a significant positive association with cognitive dissonance, which is, in turn, found to significantly impact discontinuous usage intention. Self-efficacy moderates the relationships between information overload, user addiction, cognitive dissonance and discontinuous usage.Originality/valueThis study contributes to the understanding of the factors that influence short video discontinuous usage intention and it achieves this by engaging from a CDT perspective and by applying Self-Efficacy Theory. Theoretical implications for future short video platform research, as well as practical suggestions for short video platform operators and users, are also discussed.

PurposeThe aim of this paper is to examine the usefulness of the stimulus-organism-response (S-O-R) model for systematizing and further exploring the knowledge of the role of entrepreneurship education (EE) in fostering students' entrepreneurial mindset (EM). Current research studying the EM in an educational setting often fails to conceptualize this mindset and its attributes rigorously and to include epistemological considerations regarding how the authors can know whether a person has developed an EM or not.Design/methodology/approachThe authors test the S-O-R model by combining it with a critical realist approach to develop a conceptual model for understanding the EM and its development in an educational setting.FindingsThe authors identify eight psychological constructs that represent markers of the EM. The authors further surface the multi-causal characteristic of learning in EE. The authors' model cannot be applied to detect causal relationships, but it is useful in exploring potential causal tendencies and plausible explanations of the mechanisms and circumstances of EE, which may, in concert, potentially foster the psychological attributes associated with an EM.Originality/valueThe paper addresses the often-overlooked epistemological considerations related to how the authors can know anything about psychological and theoretical constructs, such as the EM. A conscious discussion about how the authors can develop knowledge and insight about the EM and how individuals develop it is critical to justify a continued focus on the EM in EE.

His topic is propositional faith. At a first approximation, people might answer that propositional faith is the psychological attitude picked out by standard uses of the English locution \"S has faith that p,\" where p takes declarative sentences as instances, as in \"He has faith that they'll win.\" Although correct, this answer is not nearly as informative as they might like. Many people say that there is a more informative answer. They say that, at the very least, propositional faith requires propositional belief. Here, Howard-Synder exhibits the falsity of the Common View and sketches a more accurate and comprehensive account of what propositional faith is.

This study examines the impact of social media use on public behavioral intentions regarding waste sorting in China, integrating the Cognition–Affect–Conation model with the Social Amplification of Risk Framework. The proposed framework explores how social media exposure and gratification influence waste sorting intentions through anticipated emotions and environmental risk perception. Regression analysis confirms that information gratification primarily activates positive emotions, while information exposure has a stronger effect on negative emotions. Both affective pathways significantly predict waste sorting intentions, with comparable predictive strengths. Mediation analysis further reveals that information gratification and information exposure indirectly influence behavioral intention through dual emotional pathways and environmental risk perception. Qualitative interviews highlight two structural deficiencies: fragmented knowledge dissemination, which weakens environmental norm internalization, and uneven community integration, which limits behavioral translation. These findings underscore the need for diversified communication strategies and community-based policy interventions to enhance public participation in waste sorting.