Dimensions Of Intelligence Research Articles

Artificial Intelligence, Climate Change and Innovative Democratic Governance

AbstractThis policy-oriented article explores the sustainability dimension of digitalisation and artificial intelligence (AI). While AI can contribute to halting climate change via targeted applications in specific domains, AI technology in general could also have detrimental effects for climate policy goals. Moreover, digitalisation and AI can have an indirect effect on climate policy via their impact on political processes. It will be argued that, if certain conditions are fulfilled, AI-facilitated digital tools could help with setting up frameworks for bottom-up citizen participation that could generate the legitimacy and popular buy-in required for speedy transformations needed to reach net zero such as radically revamping the energy infrastructure among other crucial elements of the green transition. This could help with ameliorating a potential dilemma of voice versus speed regarding the green transition. The article will further address the nexus between digital applications such as AI and climate justice. Finally, the article will consider whether innovative governance methods could instil new dynamism into the multi-level global climate regime, such as by facilitating interlinkages and integration between different levels. Before implementing innovative governance arrangements, it is crucial to assess whether they do not exacerbate old or even generate new inequalities of access and participation.

한식 레스토랑 종사자의 감성지능이 지식공유에 의한 고객지향성에 미치는 영향

The purpose of this study is to understand the effect of the emotional intelligence of Korean food restaurant employees on knowledge sharing and customer orientation to recognize a source of competitive advantage in the food service industry. In order to reach the research purpose, a survey was conducted targeting the employees working in Korean food restaurant companies. The results are as follows: first, employees' understanding of others' emotions among the four dimensions of emotional intelligence positively and significantly influences knowledge sharing. Second, knowledge sharing has a positive and significant effect on customer orientation. Third, employees' understanding of others' emotions positively and significantly influences customer orientation. The results suggest that employees are more likely to actively share knowledge if they increase their ability to observe, understand, and regulate others' emotions. In addition, this study found that they are more likely to engage in customer-oriented behaviors that are appropriate to customers' needs due to their increased understanding of customers. Furthermore, this study suggests practical implications that efforts should be made to improve Korean restaurant workers' understanding of their own emotions, emotion regulation, and emotion utilization. This study provides theoretical and practical implications that can be applied to effective human resource management of Korean restaurants.

Significance of Artificial Intelligence in Mental Health Detection for Overall Development

Abstract: With the rapid development of human civilization, the capability of the human brain is also increasing with the fast pace of development which is eventually leading to mental health issues varying from young stage students to working professionals. Mental health is the least concerning issue in the life of today’s generation when compared to physical health. One of the main concerns about which very few are aware is that mental problems can lead directly to several other physical problems and several terminal diseases. Such cases can affect a person’s normal life adversely in various ways from affecting day-to-day routine, the standard of living, and relationship trauma. Early-stage detection is significantly important for the cause but gets delayed due to irresponsible handling or ignorance of the situation, where artificial intelligence can play a vital role. In today’s era, everything can be predicted using complex mathematical calculations which can be promptly paced up when integrated with computer science and programming concepts. Numerous pieces of research are being done in the dimension of artificial intelligence and machine learning for early-stage detection of issues related to mental health with optimized accuracy. This can lead directly to the early treatment required with the concerned patient with the help of a counsellor or a psychiatrist if required. This study concluded the implementation of AI for early detection of the mental health issues focuses in dimension of AI and its sub fields such as, machine learning for early-stage detection of issues related to mental health with optimized accuracy. A nation like India is a great way to become a developed nation and implementing AI-based technology will accelerate the developing phase for overall sustainable development.

Youth Dating Violence, Behavioral Sensitivity, and Emotional Intelligence: A Mediation Analysis.

Intimate partner violence is a multidimensional phenomenon encompassing psychological, physical, and sexual components. Violence in young couples is common in our society. This kind of violence is usually bidirectional, which adds to its complexity. This study aimed to explore how victimization (in three dimensions: non-abuse, technical mistreatment, and mistreatment) and perpetration (in two dimensions: non-perpetrator and perpetrator) are related to the BIS (Behavioral Inhibition System)/BAS (Behavioral Approach System), and it also evaluated if the dimensions of emotional intelligence (EI) (emotional attention, clarity, and regulation) mediate this relationship. Violence was evaluated in 272 young volunteer participants, as well as BIS/BAS behavioral sensitivity and perceived emotional intelligence. The correlations between these variables were analyzed, and a mediation analysis was also conducted. The results show that victimization (of the sexual and coercive type) was associated with less BAS activation, while victimization (of the sexual, humiliation, and detachment types) was associated with less BIS activity. All types of victimization were associated with less EI, specifically with less emotional clarity. Aggression (of the sexual, humiliation, detachment, and coercion types) was related to lower BAS and higher BIS sensitivity. Detachment aggression was associated with low emotional clarity. In conclusion, relationships between victimization and perpetration are evidenced in terms of BIS/BAS sensitivity and EI. Specifically, the dimension of EI emotional clarity acts as a mediator of BIS activation in victims of detachment.

Emotional Intelligence in Spanish Elite Athletes: Is There a Differential Factor between Sports?

Emotional intelligence is a determinant factor in sports performance. The present study analysed differences in total emotional intelligence and its four dimensions in 2166 Spanish athletes (25.20 ± 10.17 years) from eight sports (volleyball, track and field, shooting, football, basketball, handball, gymnastics, and judo). A total of 1200 men and 966 women answered anonymously using a Google Forms questionnaire sent via WhatsApp about demographics and psychological variables. A Pearson correlation was conducted to assess the age-emotional intelligence relationship. An independent T-test and One-Way ANOVA were carried out to check for age differences between biological sex and sport and a One-Way ANCOVA to determine differences between sports controlled by age. Age differences were observed by sex and sport (p < 0.001). An association was found between age and emotional intelligence dimensions (p < 0.001), except for other's emotional appraisal (p > 0.05). Judo was the sport with the highest levels of regulation of emotions, other's emotional appraisal, use of emotion, and total emotional intelligence (p < 0.05). Generally, emotional intelligence was found to be more developed in individual sports than in team sports, except football. Consequently, psychological skills like emotional intelligence could be critical to achieving high performance, depending on the sport.

The Effect of Emotional Intelligence on the Attitudes of Nurses towards Their Work by Studying the Role of Moderator of Emotions and Job Performance

INTRODUCTION: The present study was conducted with the aim of answering the question of whether emotional intelligence has an effect on the working attitude of hospital nurses. METHODS: By reviewing the background of the studies conducted on the three attitudes of job satisfaction, organizational commitment and the turnover intention, and to examine the effect of the research variables on each other by using the descriptive-analytical research method and collecting data through a survey, 175 nurses who were selected by random sampling method were examined. Data analysis was done by structural equation modeling method using Smart PLS3 software. FINDINGS: The findings showed that adding emotional intelligence criteria can improve job satisfaction, improve performance, reduce the turnover intention and increase organizational commitment by helping nurses to reduce negative emotions and increase positive emotions. CONCLUSION: In this research, the mediating role of emotions and job performance was examined, and according to the results, state positive affect had a significant moderating role in the relationship between job satisfaction and all dimensions of emotional intelligence among nurses.

Cultural Comparison of University Students in Entrepreneurial Intentions, Creativity, And Emotional Intelligence: An Example of USA and Turkey

This quantitative study aimed to provide a comparison between graduate students in Turkey and the United States of America (USA) in terms of levels of entrepreneurial intentions, creativity, and emotional intelligence. Within this context, we surveyed 799 students in two different universities in Turkey and the USA. In analyzing the data, we completed a confirmatory factor analysis to obtain structural validity followed by comparative tests. The results demonstrated that the students in the US university had higher levels in emotional intelligence dimensions of problem-solving skills, emotional awareness, and interpersonal relations as well as creativity when compared with the students in Turkey. On the other hand, the students in Turkey showed higher levels of self-control, emotional intelligence, and entrepreneurial intentions. The results were discussed within a cultural context and recommendations are provided accordingly.

Intrinsic Motivation: Knowledge, Achievement, and Experimentation in Sports Science Students-Relations with Emotional Intelligence.

In this paper, we have focused on the Self-Determination Theory, paying special attention to intrinsic motivation, which is understood as the motivation that leads the subject to perform a task without the expectation of obtaining an external reward. In the field of sport, motivation is one of the most studied variables and one of the most researched, since it is closely related to the reasons that lead the athletes to start, maintain, and abandon sports practice. The main objective of this study is to analyze the relationship between intrinsic motivation (IM) and emotional intelligence from the theoretical contributions of the Self-Determination Theory. The specific objectives are to analyze attention, clarity, and emotional regulation, as well as intrinsic motivation to acquire knowledge. Additionally, we aim to explore the relationship between attention, clarity, and emotional regulation and the intrinsic motivation to achieve something. Lastly, we investigate the correspondence between attention, clarity, and emotional regulation and the intrinsic motivation to experience stimuli. The sample consists of 163 undergraduate and master's students related to Physical Activity and Sports Sciences, studying at a Spanish public university, located in the southeast region of Andalusia-specifically, in the city of Almería. The participants had a mean age of 20.33 years. In terms of gender, 70.9% (n = 117) were men and 27.9% (n = 46) women. In terms of degree, 76.7% (n = 147) were undergraduate students and 23.3% (n = 18) were postgraduate students. The Sports Motivation Scale (SMS/EMD) was used to assess intrinsic motivation, and the TMMS-24 was used to assess emotional intelligence. The main findings of this research demonstrate the existence of a relationship between the three dimensions of emotional intelligence (emotional attention, emotional clarity, and emotional regulation) and intrinsic motivation (intrinsic motivation to know something, intrinsic motivation to achieve something, and intrinsic motivation to experience stimulation). These findings emphasize the importance of emotional intelligence for intrinsic motivation.

Adaptability evaluation of conceptual design for smart product-service system: An integrated rough DEMATEL and Bayesian network model

Smart product service system (PSS) design evaluation plays a crucial role in the early design stage of Smart PSS development. It aims at considering the user's value proposition for Smart PSS in the dimensions of intelligence, sustainability, and society, while also ranking Smart PSS to support delivery risk management under uncertainty. However, related Smart PSS evaluation models advocate the use of multi-criteria decision models for obtaining the intrinsic value of PSS by ignoring the influence of the causality of criteria on Smart PSS design, which results in an unstable evaluation process. Additionally, the adaptiveness of Smart PSS has not been thoroughly explored, and determining the adoption intentions of Smart PSS can be challenging. To fill these gaps, a Smart PSS evaluation model that integrates a rough decision-making trial and evaluation laboratory (DEMATEL) and a Bayesian network (BN) is proposed to support probabilistic reasoning for Smart PSS adaptiveness and reduce the risk of Smart PSS development. First, a set of 17 evaluation criteria is identified, and their causal relationships and weights of the criteria were identified using a rough DEMATEL under uncertainty. Second, a BN-based reasoning model for Smart PSS criteria is developed to evaluate the adaptability of smart PSS by constructing a conditional probability calculation model based on criterion weights. Finally, a multifunctional smart cooking center (MFSCC) case study is presented to demonstrate the applicability of the proposed approach. The belief propagation analysis results revealed the key criteria affecting the MFSCC service system development and provided design strategies to improve the adaptiveness of the Smart PSS.

Development of students’ responsibility through the principle of engagement

The engagement presupposes responsible behavior of students in the training process. Determined as a principle, the engagement derives from critical existentialism thinking, an essential dimension of spiritual intelligence. In the training process, the principle of engagement refers to the creation by the teaching staff of educational contexts in which students will be encouraged to get involved, through the possibility of choice, decision-making and assu-ming responsibility in relation to their choices and decisions taken. In this article, a series of specific strategies are reflected, aimed at developing responsibility of students, namely: creating a collaborative learning environment, setting clear and relevant objectives for the student, carrying out tasks in the authentic professional field, providing constructive feedback and involving students in the decision-making process. To achieve these strategies, a general strategy relevant to the didactic context was adapted - the ,,4 What” strategy for the development of critical thinking. This strategy reflects the components through which student responsibility can be developed and assessed. Thus, the correlation between these strategies: the ,,4 What” strategy and the specific strategies generate a friendly didactic design, oriented towards the development of student responsibility in the training process.

Research on moral issues related to the use of artificial intelligence in modern society

The purpose of the article was to highlight the philosophical and axiological guidelines in the moral and ethical dimension of artificial intelligence. The task of the article was to analyse the ideas and beliefs in the contemporary scientific discourse on the positioning of artificial intelligence in the mental and worldview paradigm of the modern world. Based on the analysed scientific works (a total of 55 studies covering the issues of correlation between morality and artificial intelligence published over the past 5 years), an attempt was made in order to determine the relationship between morality and technicality. Methodology. The methodological arsenal was provided by general scientific methods, primarily of the analytical cluster. At the same time, purely philosophical methodological approaches were used: dialectical and synergistic methods, which determined the level of coexistence and interaction between artificial intelligence and moral norms. The results of the study indicated the inter-integration of technology and morality in modern society. This trend is expressed in several key dimensions: artificial intelligence as the basis for a new moral paradigm, the transformation of morality under the influence of artificial intelligence, balance, and autonomy of innovative technologicality and traditional morality. Prospects for further research include the development of unified guidelines that will determine the moral norms of artificial intelligence and the potential level of technological impact on the transformation of morality. Conclusion. Thus, artificial intelligence has de facto integrated into socio-cultural use at the global level, which has actualised the need for its assessment and understanding in terms of morality and ethical principles.

A New AI-Based Semantic Cyber Intelligence Agent

The surge in cybercrime has emerged as a pressing concern in contemporary society due to its far-reaching financial, social, and psychological repercussions on individuals. Beyond inflicting monetary losses, cyber-attacks exert adverse effects on the social fabric and psychological well-being of the affected individuals. In order to mitigate the deleterious consequences of cyber threats, adoption of an intelligent agent-based solution to enhance the speed and comprehensiveness of cyber intelligence is advocated. In this paper, a novel cyber intelligence solution is proposed, employing four semantic agents that interact autonomously to acquire crucial cyber intelligence pertaining to any given country. The solution leverages a combination of techniques, including a convolutional neural network (CNN), sentiment analysis, exponential smoothing, latent Dirichlet allocation (LDA), term frequency-inverse document frequency (TF-IDF), Porter stemming, and others, to analyse data from both social media and web sources. The proposed method underwent evaluation from 13 October 2022 to 6 April 2023, utilizing a dataset comprising 37,386 tweets generated by 30,706 users across 54 languages. To address non-English content, a total of 8199 HTTP requests were made to facilitate translation. Additionally, the system processed 238,220 cyber threat data from the web. Within a remarkably brief duration of 6 s, the system autonomously generated a comprehensive cyber intelligence report encompassing 7 critical dimensions of cyber intelligence for countries such as Russia, Ukraine, China, Iran, India, and Australia.

Coaching to Develop Emotional Intelligence and Decrease Work-Family Conflict: An Application of the Work-Home Resources Model.

Research on emotional intelligence has provided robust support for its importance for job performance and leadership success. More recently, research is turning to understand the impact emotional intelligence has on personal success and physical and mental well-being. Thus, the current study examines emotional intelligence from a Work-Home Resources perspective, exploring what components within the Emotional Quotient model of emotional intelligence can serve as a buffer for work-family conflict. Additionally, this study examines if the contextual resource of EI executive coaching can serve as a method of modifying the personal resource of emotional intelligence. As leaders and practitioners are increasingly focusing attention on employee development of emotional intelligence competencies, our study examines EI executive coaching as a method to increase emotional intelligence, not only for performance improvement, but also for personal well-being. Using a diverse sample of employees and leaders measured at two time points, the current study found that emotional intelligence is negatively related to work-family conflict. Further, an increase in specific dimensions of emotional intelligence through EI executive coaching is related to a decrease in work-family conflict. Implications for theory and practice are discussed.

Analyzing The Dimensions of Strategic Intelligence in Hotel Chains in Egypt

Analyzing The Dimensions of Strategic Intelligence in Hotel Chains in Egypt

Artificial intelligence: The blind spot of info-communication platform policy-making and regulation in Latin America

The social dimension of artificial intelligence is a strategic line of research that has been barely addressed to date in relation to information and communication technology policy-making. Debates on new expert information systems have generally revolved around taxation, content moderation, security, privacy and transparency, in addition to new forms of assessment that artificial intelligence assumes in platform capitalism. The existing theoretical and regulatory gaps require, however, a comprehensive approach to the economic, political, philosophical, geopolitical and ecological aspects of communication in the relations between states, international bodies and global corporations. Accordingly, the aim here is to review the state of the art of policy-making on artificial intelligence in Latin America as well as to draw a number of parallels with the current situation in the European Union for the purpose of performing an exploratory analysis on the main regulatory challenges facing public policy-makers from a practical and theoretical perspective.

Cross-cultural Competence in the Volatile, Uncertain, Complex and Ambiguous World

Advances in communication technology and transportation have made the world increasingly seamless and borderless. Globalisation brings people from different cultural backgrounds and regions together in closer contact than ever before. The cross-cultural contact brings its expected problems in cultural differences but the Volatile, Uncertain, Complex, and Ambiguous (VUCA) environment also means that people cannot rely on stereotypes and past experiences of other cultural groups because of the speed by which changes take place. Because of this, cross-cultural competence is needed. The dimension that is better understood due to more extensive research is intercultural competence, and cultural training has been found to be useful. The other dimension, cultural intelligence, is less understood. The notion that cultural intelligence depends on individual differences means that some individuals have the intercultural sensitivity that makes for successful cross-cultural contact. Past research conducted in workplace settings suggest that there may be a limit to awareness training. Nevertheless, the investigation of the interrelationship of the intercultural competence and cultural intelligence dimensions is less understood. Furthermore, the investigation of cross-cultural competence in academic settings is rudimentary, but needs to be stepped up because of the increasing influx of international students into Malaysia.

The Impact of Business Intelligence on Organizational Excellence: the Mediating Role of Organizational Citizenship Behavior

Purpose: The aim of this study is to examine the effect of business intelligence on organizational excellence in Jordanian banks. Theoretical Framework: The research model determine the impact of business intelligence in its dimensions (response, flexibility and speed) on organizational excellence and studying the mediating role of organizational citizenship behavior on the relationship between business intelligence and organizational excellence. Design/ Methodology/ Approach: The questionnaire was study’s main tool for collecting data; where (240) questionnaires were distributed, and (183) questionnaires were retrieved for analysis. Analyzing data was conducted using a set of statistical methods including Cronbach's alpha along with a normality test, standard deviation, exploratory factor analysis, confirmatory factor analysis, simple linear regression and multiple regression using SPSS-V20 and AMOS -V23 software’s. Findings: The results of this study revealed that there is a statistically effect for business intelligence dimensions on organizational excellence, and There is a statistically impact for organizational citizenship behavior in improving the effect of business intelligence on organizational excellence. Research, Practical &amp; Social implications: Depending on the study results, banks shall provide the concept of business intelligence and its priority practices at work, as being necessary for all directors; also, they shall develop capabilities of Directors working for banks should be done by holding specialized courses. Originality / Value: The study indicates that banks are interested to achieve a high level of organizational excellence and all that achieves this high level, through many practices, including goal setting and striving to achieve them, focusing on performing appropriate work, meeting customer requirements on time, and ensuring that employees are encouraged to innovate.

Peran Kecerdasan Emosional dan Karakteristik Individuterhadap Stres Pada Individu Dewasa Awal Yang Mengalami Putus Cinta

The study aimed to determine the role between emotional intelligence and demographic factors on stress in early adult who experience breakups. The breakup experience that happens in early adult may causes psychological problems such as stress. However, psychological problems such as stress due to breakups may be perceived differently among individuals. Emotional intelligence is an individual ability to be able to recognize, to accept, and to recognize the emotions of themselves and others, which is considered to be related to stress. Participants in this study were 135 female/male subjects who had breakup experience, and aged 18 to 40. The method used a quantitative research survey, where participants were asked to complete The Practical EQ Emotional Intelligence Self-Assessment, Perceived Stress Scale, and demographic factors questionnaire. The analysis used a simple linear regression test by using the IBM SPSS 25.00 for Windows statistical program. The result indicated a significant role between self-awareness dan self-control dimension of emotional intelligence with reduce stress level with significant value 0,00 (p&lt;0,05), however all dimension of emotional intelligence simultaneously plays a role 44,1% on stress levels Meanwhile, the variables of individual characteristic are not significantly correlated so that regression analysis is not carried out.

Orbital and sub-orbital space tourism: motivation, constraint and artificial intelligence

Propósitoexiste una investigación limitada sobre el comportamiento de las diferentes categorías de turistas espaciales identificados por diferentes tipos de turismo espacial. Para abordar esta deficiencia, este trabajo examina qué factores hacen que los consumidores participen en el turismo espacial orbital y/o suborbital, junto con tres dimensiones de motivación, restricción e inteligencia artificial. Para lograr los objetivos del estudio, se desarrolló un modelo de investigación integral que incluía tres dimensiones de motivación intrínseca y extrínseca, restricción intrapersonal e interpersonal, y conocimiento y confianza en la inteligencia artificial, al comparar grupos de turismo espacial orbital y suborbital.Diseño/metodología/enfoquese realizó un cuestionario con los encuestados que querían participar en el turismo espacial orbital (n = 332) y suborbital (n = 332) en el futuro. Se utilizaron modelos de ecuaciones estructurales (SEM) de mínimos cuadrados parciales (PLS), análisis comparativo cualitativo de conjuntos borrosos (fsQCA), análisis multigrupo y aprendizaje profundo para comprender el comportamiento potencial del turista espacial.Hallazgosla motivación extrínseca tiene el mayor impacto positivo en la intención de comportamiento, seguida de la conciencia y la confianza en la inteligencia artificial, mientras que la restricción intrapersonal afecta negativamente la intención de comportamiento. Sorprendentemente, la restricción interpersonal es insignificante por PLS-SEM, pero sigue siendo una de las configuraciones causales suficientes por fsQCA. Curiosamente, los dos tipos de turismo espacial tienen características muy distintas.Originalidad/valoreste trabajo creó un modelo de investigación integral integral con tres dimensiones de motivación, restricción e inteligencia artificial, junto con posibles grupos de turistas espaciales orbitales y suborbitales para identificar el comportamiento futuro del consumidor. Es importante destacar que este estudio empleó métodos de análisis múltiple utilizando cuatro enfoques diferentes para arrojar mejor luz sobre los posibles turistas espaciales orbitales y suborbitales.

The Ethical Dimension of Artificial Intelligence

The Ethical Dimension of Artificial Intelligence