Behavioral Perspective Research Articles

The Impact of Investor Sentiment on Corporate Tax Avoidance from a Behavioral Finance Perspective

ABSTRACT This paper delves into the intersection of investor behaviors and corporate strategies from a corporate finance perspective, thus broadening the scope of research on how investor sentiment influences corporate tax avoidance. Focusing on A-share listed companies as its primary dataset, the study explores the relationship between investor sentiment and corporate tax avoidance strategies. It reveals a notable finding: heightened investor sentiment significantly escalates corporate tax avoidance activities. Companies tend to indulge in more tax avoidance practices to align with investor expectations and secure stakeholder support as investor sentiment rises. Moreover, the research uncovers that this positive correlation between investor sentiment and tax avoidance is particularly pronounced in private sector industries and companies experiencing substantial financing constraints. This insight offers a novel perspective on behavioral finance by examining it through the lens of micro-level corporate behavior. It also provides valuable guidance for future research in corporate finance, suggesting new pathways for integrating and enhancing theoretical frameworks in this field.

Effects of acute and chronic ketamine administration on spontaneous and evoked brain activity

Schizophrenia is believed to be, at least in part, a dysfunction of the glutamatergic system. In line with anatomical evidence, suppressing N-methyl-D-aspartate (NMDA) neurotransmission leads to symptoms that are characteristic of schizophrenia. Rodent models of schizophrenia often involve the acute application of NMDA antagonists, which produce both behavioural and brain activity changes that closely resemble symptoms observed in schizophrenia. It is, however, important to note that the full spectrum of schizophrenia symptoms may not be manifested following the acute suppression of NMDA receptors. This has led to the proposal of a chronic model where NMDA receptors are suppressed for prolonged periods. Although the chronic model has shown promising results from a behavioural perspective and alterations in metabolic processes in the brain, its impact on brain oscillations remains largely unknown. The aim of this study is to examine the impact of acute and chronic NMDA neurotransmission suppression on brains’ oscillatory activity. To achieve this, chronic brain activity recordings in mice of both sexes were used to assess both spontaneous and evoked brain oscillations. The study demonstrates that an acute suppression of NMDA receptors alters brain oscillations across a wide frequency spectrum and diminishes the oscillatory potency in evoked responses, paralleling changes observed in schizophrenia. However, the chronic suppression of NMDA receptors did not have the expected cumulative effect on brain activity. This research highlights the robust yet similar impacts of acute and chronic NMDA receptor suppression on brain activity, contributing to the nuanced understanding of rodent models of schizophrenia.

Coaching in the ‘alternate universe’ of U.S. Figure skating: a developmental perspective of need-supportive behavior in the coach-athlete relationship

Need-supportive coaching has been identified as the most effective way to nurture optimal motivational climates in sport because of its positive influence on athletes’ basic psychological needs of autonomy, competence, and relatedness. However, to date, researchers in sport have not adequately considered whether athletes’ physical, cognitive, social, self, and emotional development prompts any variation in coaches’ delivery of need-supportive behavior. Such insight may reveal a more nuanced approach for coaches to facilitate athletes’ psychological functioning in an age-appropriate way. Therefore, the purpose of this study was to explore athletes’ and coaches’ perceptions of how coaches consider athlete development in the ways in which they seek to fulfill athletes’ basic psychological needs. Figure skating is an ideal sport context for this investigation as coach-athlete relationships typically span many years and developmental milestones. Semi-structured interviews were conducted with 13 coach-athlete dyads (26 interviews) across four age groups: middle childhood (6–10 years), early adolescence (11–14 years), mid-adolescence (15–17 years), and early adulthood (18–25 years). Using reflexive thematic analysis, seven themes were constructed: (a) sport context as a lens for the optimal skill development of athletes, (b) socio-chronological development and relatedness-associated behavior, (c) physical development and relatedness- and competence-associated behavior, (d) skill and ability development and competence-associated behavior, (e) understanding of the sport and autonomy-associated behavior, (f) emotional development and relatedness-behavior, and (g) relational qualities further shape coaches’ need-supportive behaviors.

A qualitative study on the components of teacher leadership based on the perspective of teacher behaviour

Exploring the constituent elements of teacher leadership is an important research direction for bringing innovation and entrepreneurship within teacher leadership research. However, there are very few studies on the components of teacher leadership based on the perspective of innovative teacher behaviour. This paper uses the method of grounded theory and the three-level coding technology of the qualitative analysis software Nvivo12.0 to code and analyse 33 Chinese core journal texts about teacher leadership in the CNKI database. In these texts, teaching students in an innovative and entrepreneurial way is the fundamental element, leading colleagues and assisting leaders to represent higher-level relationship elements, serving society is the highest-level element, and developing oneself is the driving force that runs through the entire process. A deep understanding of the constituent elements and structural dimensions of teacher leadership can help promote innovation and entrepreneurship through teachers’ independent development, mutual assistance, and cooperation, improve teachers’ leadership performance, and promote the development of students and schools.

Bubble adhesion dynamics on solid surfaces: Interfacial behavior, force, and energy perspectives using a self-developed dynamic force testing system

Bubble-solid surface adhesion is crucial for industrial processes such as wastewater treatment, and the separation of minerals, plastics, and biomass. In this paper, a novel dynamic force testing system was developed to provide a detailed understanding of bubble-solid adhesion dynamics by simultaneously collecting “time-displacement-force” signals and capturing real-time images. The interfacial behavior and force mechanisms of bubble adhesion to solid surfaces with varying hydrophobicity were investigated. Higher hydrophobicity results in more pronounced “snap-in” adhesion and greater adhesion strength. Instead of fully detaching, bubble breaks at the capillary neck and leaves a microbubble on the solid surface, whose size increases with hydrophobicity, indicating different interfacial behaviors in subsequent reaction. The evolution of Laplace force and surface tension force was further analyzed and the toroidal approximation shows over 60 μN error in Laplace force calculation for large bubble deformations. Thus, for the first time, the “gorge” method was employed to calculate the bubble adhesion force in the presence of a capillary neck. Error analysis indicates that this method, while maintaining simplicity, achieved higher accuracy (lower error) by calculating the Laplace force based on the neck area and accounting for the surface tension force along the tangent at the neck. Energy analysis show that the detachment energies in the stretching and sliding phases correspond to the energy barrier to be overcome for detachment and the “effective work” of interfacial change, respectively. This provides new insights into detachment mechanisms and industrial process modelling, such as flotation.

Blockchain Espousal in Legal Compliance with Corporate Governance

There is much exhilaration about blockchain technology in practically every business, including financial, and significant investments are being made worldwide. In order to uncover critical criteria for blockchain espousal in corporate governance, we undertook a systematic examination of a sample of 52 articles (10 industrial and 42 academics) through a preliminary research period from 2012 to 2020. We perform textual and empirical research to build a paradigm for decentralised autonomous governance. Additionally, we relate classic corporate governance theories to blockchain espousal using this framework. Our research also focuses on how blockchain technology may be used to improve the way corporations are run, now and in the future, as well as its possible consequences. By doing a systematic study and conducting an analysis of the text, we uncovered other gaps in the earlier academic and industrial literature and common tendencies. In addition, as part of our empirical research, we are compiling a one-of-a-kind blockchain investment database to make future investment projections. In addition, in the course of and after the COVID-19 conference, we researched the many ways blockchain technology may be used to improve corporate governance. According to our findings, previous academic publications prefer to concentrate on regulation and Initial Coin Offerings (ICOs). In contrast, previous publications in the sector have focused on exchanges and cryptocurrencies. Final thoughts on the impact of blockchain technology on corporate governance from the perspectives of behaviour, law & regulatory requirements, ethical considerations and managerial practices.

Educating adolescents on preventing substance use: The role of 24-h movement behaviors ─ data from 2021 Youth Risk Behavior Surveillance

BackgroundLittle is known about how adhering to the health guidelines for physical activity (PA), screen time (ST), and sleep duration (SD) relates to substance use in adolescents. Thus, this study aims to explore the potential association between adherence to the 24-h movement behavior (24-h MB) guidelines and substance use among adolescents. MethodsData from the 2019 Youth Risk Behavior Surveillance was analyzed. Participants reported their weekly PA, ST, SD, and substance use (alcohol and smoking) over the past 30 days. The mean age in the total participants was 15.56, and 48.03 % of the participants were females. Logistic regression was used in this study to explore the potential association between 24-h MB and substance use. Odds ratios (ORs) were reported alongside a 95 % confidence interval to enhance understanding of the observed association. ResultsOnly 2.22 % participants adhered to all three 24-h MB guidelines, while 47.99 % did not follow any guidelines. Notably, there was no significant difference in the odds of cigarette smoking between participants who followed none of the guidelines and those who followed some or all of them. Nevertheless, adherence to one or more guidelines was found to be associated with higher odds of abstaining from alcohol consumption compared to non-adherence (one guidelines: OR = 1.17 [1.08, 1.28], two guidelines: OR = 1.28 [1.13, 1.44]). ConclusionsAdhering to 24-h MB guidelines may reduce adolescents’ alcohol consumption, but the adherence was not significantly associated with smoking. Longitudinal studies are needed to confirm these findings. These results can inform adolescent health policies and interventions aimed at reducing substance use from the perspective of healthy time-use behaviors, which can be used for researchers and educator.

Behavioural Effect of Promotion on Cussstomer Loyalty among Selected Banks in Jigawa State

This study examined the behavioural effect of Promotion on customer loyalty in the banking sector of Jigawa State, Nigeria. The study adopted the Behavioral Perspective Model (BPM) The study used multiple regression analysis to analyse data from 2,662 customers across four banks; Zenith Bank, Fidelity Bank, First Bank Nigeria Plc, and UBA. The findings revealed a significant impact of specific promotion on customer loyalty, such as the type, objectives, and sometimes the duration and frequency of promotions. In line with the findings, this study among other recommendations indicated that the varying effectiveness of promotional strategies across different banks, a customer-centric approach tailored to each bank’s clientele’s demographic and cultural context is crucial. All banks should consider employing advanced analytics to gain deeper insights into customer preferences and behaviours. This could inform more personalized and effective promotional strategies.

Unfolding IoT Adoption: A Status Quo Bias Perspective

AbstractInternet of Things (IoT) solutions are still far from using their enormous potential, partly because misconceptions lead employees to avoid using IoT solutions and stick to established working routines. To shed light on the non-rational perspective of users, which allows for inference on the emergence of cognitive misconceptions, 489 respondents' perceptions of benefits and costs of IoT solutions were analyzed. Using the perspective of “status quo bias”, the qualitative analysis reveals that the perceptions of experienced and inexperienced users partly overlap on benefits such as the reduction of errors and relief of personnel. However, the perceptions also diverge in part, as inexperienced users consider IoT solutions to be gimmicky, fostering mistrust. In addition, inexperienced users overestimate learning phases for interacting with IoT solutions, leading to loss aversion and consequently to cognitive misperceptions. Hence, the study examines the gap between experienced and inexperienced users as a neglected aspect in IoT adoption. Further, identifying relevant drivers for the implementation of IoT solutions at the individual level helps to extend the hitherto technical view of IoT solutions towards a multi-layer approach that includes a holistic, behavioral perspective.

기업가적 리더십이 업무성과에 미치는 영향: 기회활용의 매개효과 및 진취적 풍토의 조절된 매개효과

Entrepreneurship and entrepreneurial orientation are important factors in organizational success and growth. Previous research on entrepreneurship has focused on organizational and strategic factors. However, there has been a lack of analysis on the efficacy of entrepreneurship, particularly on entrepreneurship from an organizational behavior perspective. Thus, this study examined the efficacy of entrepreneurial leadership at the individual level. We further analyzed the effects of entrepreneurial leadership on employee job performance. Specifically, this study tested the mediating effect of opportunity exploitation in the above relationship. In addition, we explored the moderating and moderated mediating effects of a proactive climate in those relationships. Based on survey data collected from 445 employees working for Korean firms, we tested direct, mediating, and moderating effects using hierarchical regression analysis. In addition, using the Hayes (2013) PROCESS macro, the moderated mediated effect of a proactive climate was analyzed. The results of the empirical analysis showed that entrepreneurial leadership was positively related to job performance. We also found that opportunity exploitation positively mediated the relationship between entrepreneurial leadership and job performance. While there was a positive moderating effect from a proactive climate on the relationship between opportunity exploitation and job performance, the moderated mediating role of the proactive climate was also proven. These findings highlight the pivotal role of entrepreneurial leadership in enhancing job performance. In particular, uncovering the mediating role of opportunity exploitation and the moderated mediating role of a proactive climate can provide theoretical and practical implications to managers who want to increase the positive impacts of entrepreneurial leadership in the organization.

Accent Attitudes: A Review Through Affective, Behavioral, and Cognitive Perspectives.

Interacting with speakers of different accents is a prevalent global phenomenon. Given the considerable influence of accents in daily life, it is important to conduct a comprehensive review of listeners' accent attitudes. This paper provides an integrative summary of research on accent attitudes, drawing from the Affective, Behavioral, and Cognitive (ABC) perspectives. We begin by outlining the social meaning of accents and laying out the theoretical foundations of the ABC approach. Then, we organize and integrate existing research findings using the ABC framework. Next, we illustrate how the perspectives intersect by discussing pertinent research findings. Drawing from various sociocultural contexts over many years, this review underscores the significant impact of accents on people's thoughts, feelings, and behaviors. The review concludes by discussing limitations, proposing future directions, highlighting real-world relevance, and suggesting areas for research expansion.

Interpretable machine learning-based prediction and analysis of supercritical fluid heat transfer characteristics at different boundary conditions

The study of the heat transfer characteristics of supercritical fluids is crucial for the safe and economical operation of supercritical energy systems. This study presents a new method to study the heat transfer characteristics of supercritical fluids, employing interpretable machine learning. Two back propagation neural network models are proposed for the prediction of heat transfer to supercritical fluid for the cases with given heat flux and given wall temperature, respectively. The particle swarm optimization algorithm was employed to search for the optimal hyperparameters, and the resulting accuracy was evaluated in comparison with that of the traditional empirical correlation and a number of machine learning models. Combining the SHAP interpretable algorithm with prediction models, the supercritical heat transfer mechanism is explored from the perspective of global and local prediction behaviors based on explainable models. The results demonstrate that the average error of two established neural network models on the test set is 0.47 % and 0.69 %. Furthermore, for vertical upward flow, the buoyancy and acceleration effects are of greater feature importance in heat transfer deterioration. They are the primary factors contributing to heat transfer deterioration behavior. The research method proposed in this study has certain reference significance for further study of the heat transfer characteristics of supercritical fluids.

Driving forces of solid-state Cu-to-Cu direct bonding suppressing the work-hardening loss by refill friction stir spot welding

In this study, the solid-state bonding of the Cu-to-Cu parallel connection with no fusion zone and keyhole formation was achieved using the refill friction stir spot welding (RFSSW) process. During the refilling process, significant plastic flow and thermo-compressive behavior promoted geometric and continuous dynamic recrystallization behaviors and highly oriented (111) microstructures, serving as key mechanisms to prevent work-hardening loss and reinforce the joint. Furthermore, the refinement of the grain size without work-hardening loss, increased by 50.8 % which was from 61 Hv in the base material to 92 Hv in the thermo-mechanically affected zone (TMAZ). Even, the hardness of the TMAZ/stir zone interface noticeably increased up to 138 Hv as the reduction in the stacking fault energy (SFE) due to the infiltration of Al element at the trace from the tool. The contribution of microstructural features to the mechanical property was quantitatively investigated by a modified Hall-Petch relationship in terms of the grain size, sub-grain size, and dislocation density. This study systematically investigated the driving forces for the implementation of Cu-to-Cu direct bonding, where work-hardening loss can be suppressed, through the RFSSW process from the perspective of dynamic recrystallization behavior and SFE due to partial alloying of Al elements.

Bridging minds and machines in Industry 5.0: neurobiological approach.

In transitioning from Industry 4.0 to the forthcoming Industry 5.0, this research explores the fusion of the humanistic view and technological developments to redefine Continuing Engineering Education (CEE). Industry 5.0 introduces concepts like biomanufacturing and human-centricity, embodying the integration of sustainability and resiliency principles in CEE, thereby shaping the upskilling and reskilling initiatives for the future workforce. The interaction of sophisticated concepts such as Human-Machine Interface and Brain-Computer Interface (BCI) forms a conceptual bridge toward the approaching Fifth Industrial Revolution, allowing one to understand human beings and the impact of their biological development across diverse and changing workplace settings. Our research is based on recent studies into Knowledge, Skills, and Abilities taxonomies, linking these elements with dynamic labor market profiles. This work intends to integrate a biometric perspective to conceptualize and describe how cognitive abilities could be represented by linking a Neuropsychological test and a biometric assessment. We administered the brief Neuropsychological Battery in Spanish (Neuropsi Breve). At the same time, 15 engineering students used the Emotiv insight device that allowed the EEG recollection to measure performance metrics such as attention, stress, engagement, and excitement. The findings of this research illustrate a methodology that allowed the first approach to the cognitive abilities of engineering students to be from neurobiological and behavioral perspectives. Additionally, two profiles were extracted from the results. The first illustrates the Neuropsi test areas, its most common mistakes, and its performance ratings regarding the students' sample. The second profile shows the interaction between the EEG and Neuropsi test, showing engineering students' cognitive and emotional states based on biometric levels. The study demonstrates the potential of integrating neurobiological assessment into engineering education, highlighting a significant advancement in addressing the skills requirements of Industry 5.0. The results suggest that obtaining a comprehensive understanding of students' cognitive abilities is possible, and educational interventions can be adapted by combining neuropsychological approaches with EEG data collection. In the future, it is essential to refine these evaluation methods further and explore their applicability in different engineering disciplines. Additionally, it is necessary to investigate the long-term impact of these methods on workforce preparation and performance.

A Study on Marketing Strategies for Mobile Online Games from the Perspective of Consumer Behavior

A Study on Marketing Strategies for Mobile Online Games from the Perspective of Consumer Behavior

Lying in competitive environments: Identifying behavioral impacts

Incentive schemes based on relative performance provide high effort incentives, but may backfire by increasing incentives for misconduct. Previous literature supports this view by demonstrating that, as compared to individual incentive schemes based on absolute performance only, highly competitive environments are associated with higher degrees of lying and cheating. However, it is not clear if this is (mainly) driven by stronger financial incentives or by competition per se and its behavioral effects. We conduct an online experiment with competitive and individual incentive schemes in which the financial incentives to lie are held constant. From a behavioral perspective, a competitive environment may increase the willingness for misconduct via a desire-to-win, but may also decrease it via the negative payoff externality on competitors. Our results provide evidence of a significant lying-enhancing desire-to-win-effect and an insignificant lying-reducing negative externality effect.

Subjective Well-Being of Chief Executive Officers and Its Impact on Stock Market Volatility During the COVID-19 Pandemic in Poland: Agent-Based Model Perspective

This study aimed to connect the behavioral corporate finance perspective (micro level) with complexity theory via agent-based modeling to analyze the impact of selected psychological factors of chief executive officers (CEOs) on stock market volatility (macro level). Specifically, we wanted to explore whether Polish CEOs’ subjective well-being (SWB) influenced their managerial decisions during the COVID-19 pandemic and how it might be related to the volatility of stock prices during this critical period in Poland. Our study was based on a survey of Polish CEOs who managed companies listed on the Warsaw Stock Exchange. In particular, 255 CEOs completed the Satisfaction with Life Scale, the Positive and Negative Affect Scale, and a business survey on the impact of the COVID-19 pandemic on company management. Using the results of this survey, we built an agent-based model to investigate how CEOs’ decision-making, stemming from their SWB levels, influences the perception of prices by individual traders and, in turn, how it is translated into aggregate stock market volatility. The results indicate the pathways through which the microscopic-level SWB of CEOs influences market price formation at a macroscopic level. The findings obtained from our model may shed new light on the rational expectations theory applied to stock market volatility during the financial crisis.

Dynamic Interpersonal Processes at Work: Taking Social Interactions Seriously

Dynamic interpersonal processes are the core foundation of many phenomena of interest to organizational psychology and organizational behavior scholars. This article views the organization as a system of social interaction. From this vantage point, I present a selective review of the current literature that supports a behavioral interaction perspective of interpersonal processes at work. I organize insights into phenomena such as (emergent) leadership, team processes, change management, coaching, selection, and negotiation according to the respective interaction constellation (i.e., dyadic, group, or across the organizational boundary). For each of these constellations, I highlight key empirical insights into behavioral interaction dynamics at the core of each interpersonal phenomenon. I discuss gaps and derive commonalities across different interaction constellations. To promote the consistent pursuit of a social interaction perspective and theory-method alignment, I derive a future research agenda including methodological recommendations for identifying meaningful patterns of social interaction at work.

The impact of smartphone deprivation on attentional bias in problematic smartphone users: Evidence from behavioral and physiological perspectives

This study innovatively applied smartphone deprivation and aimed to assess its behavioral and physiological effects in problematic smartphone users. In Experiment 1, 283 participants completed an investigation related to smartphone use, including 92 participants identified as problematic smartphone users. Based on an average smartphone unlocking interval of 19.67 min, the duration of smartphone deprivation was set to 20 min. After deprivation, the participants exhibited a significant increase in smartphone cravings and a decrease in heart rate. Experiment 2 applied a modified cueing task to explore problematic smartphone users’ attentional bias, in which smartphone-related and neutral pictures were selected as the materials. There were 22 and 23 participants in the smartphone-deprivation and control groups, respectively. In the deprivation group, reaction times (RTs) for smartphone-related pictures were longer than for neutral pictures. In Experiment 3, we incorporated electroencephalography technology to also assess a smartphone turned-off group. There were 16, 21, and 14 participants in smartphone deprivation, smartphone turned-off, and control groups, respectively. In both the smartphone deprivation and smartphone turned-off groups, participants had longer RTs on smartphone-related pictures than on neutral pictures. Furthermore, for participants in the deprivation group, N2 latencies in relation to smartphone-related pictures were earlier than those in relation to neutral pictures, while participants in the turned-off group had larger P3 amplitudes and earlier P3 latencies for invalid cues compared with valid cues.

Practicable strategies parents can apply in their daily routine to successfully implement the 50/50-split-model of paid work, childcare, and housework: a qualitative content analysis

BackgroundMany young couples are planning to share paid work, childcare, and housework equally between each other. But implementing such a 50/50-split-model is difficult and parents often return to traditional gender role distributions after the birth of a child. This return has potential negative effects on mental health, physical health, and relationship satisfaction. Therefore, this study aims to find practicable strategies on a behavioral-level which new parents can apply in their daily routine to successfully implement the 50/50-split-model if they wish to do so.MethodsThis qualitative study, DREAMTALK, is part of the multi-method, prospective Dresden Study on Parenting, Work, and Mental Health (DREAM). For DREAMTALK, N = 25 parents implementing a 50/50-split-model were selected based on quantitative data regarding time use, which participants had provided in questionnaires. In DREAMTALK, problem-centered interviews were conducted with the selected sample at 17 months postpartum. Those were analyzed via qualitative content analysis, which is systematic, rule-guided, and based on the criteria of validity and reliability.ResultsThe qualitative content analysis revealed a catalog of 38 practicable strategies to manage daily routine, which can help parents to successfully implement a 50/50-split-model. Individual participants used 23 success strategies on average. Examples include having a regular coordination appointment with the other parent, planning foresightedly, flexibility, reducing cleaning, optimization of routes, or moderate split-shift parenting. Some of these strategies seem opposing, e.g., planning foresightedly, and at the same time, meeting unpredicted changes with flexibility. Those seemingly opposing strategies were well balanced by the participants, which was an additional strategy.ConclusionsParents can use the success strategies relatively independently of external circumstances. This behavioral perspective extends prior theories, which have focused on explaining unequal gender role distributions with external circumstances. A behavioral perspective can be a gateway to assist more parents to pioneer in implementing the 50/50-split-model, which might in turn lead to a healthier and more satisfied public population.