Emotional Intelligence and Entrepreneurial Orientation on Entrepreneurial Inclination of Secondary School Students

Abstract

Past studies associated emotional intelligence with a positive mindset to achieve better academic performance. Emotional intelligence is said to help students to set their goals. This paper investigates the relationship between emotional intelligence, entrepreneurial orientation, and entrepreneurial inclination of secondary school students. In this study, emotional intelligence is posited against entrepreneurial orientation and entrepreneurial inclination. A total of one hundred and three usable responses were collected, and data was tested using Partial Least Squares. Results indicated that emotional intelligence affects entrepreneurial orientation but recorded a low impact on entrepreneurial inclination. Entrepreneurial orientation served as a mediating link between emotional intelligence and entrepreneurial inclination. Most of the respondents were not well exposed to the concept of entrepreneurship in the school thus, their interest in entrepreneurship needs to be more conclusive. In exploring students’ inclinations, it is important to identify their level of emotion and how they regulate it for their best interest.

Keywords:

Introduction

Emotion is one of the most important elements that affect our personal and professional wellbeing. According to Ge (2021), the results revealed that positive emotions were associated with higher performance while negative emotions were associated with poorer performance, and low-intensity emotions were associated with performance between high and low levels.

The studies of emotional intelligence have been evolving since its interception, especially in explaining behavioural variance (Surti & Gangal, 2021). Many types of research in the field of EI suggest that high El individuals can better perceive emotions, use them in thought, understand their meanings, and manage emotions better than others (Ge, 2021). Over the years, emotional intelligence has evolved and has been linked to many other areas and disciplines. In recent years, emotional intelligence (EI) has garnered the attention of researchers and practitioners alike because of its relationship with job performance (Gong et al., 2019), leadership (Weinberger, 2009), social competence in adults and children, academic achievement (Contreras & Cano, 2016) and both psychological and physiological wellbeing (Nagahi, 2014). Emotional intelligence has been proven to influence performance (Mayer et al., 2016), job satisfaction (Ngah et al., 20016) and entrepreneurial intention (Nawaz et al., 2019). Previous empirical studies also highlight the importance of levels of emotional intelligence for students’ academic performance 2012

The present study aims to provide preliminary insight into the link between emotional intelligence, entrepreneurial orientation, and entrepreneurial inclination among high school students. Nevertheless, to date, less effort has been put into assessing the relationship between emotional intelligence and entrepreneurial orientation among high school students, as entrepreneurship subject has only been introduced recently in secondary schools. Wen et al. (2020) found that the higher the emotional intelligence the higher would be their entrepreneurial self-efficacy among college students. Therefore, emotional intelligence is an important factor in predicting entrepreneurial orientation. Furthermore, emotional intelligence will influence students’ cognitive intelligence and attitude for better academic performance. Students with higher emotional intelligence are better equipped to deal with negative emotions that might disrupt learning (Ellwood, 2021; MacCann et al., 2020). In fact, during the pandemic of Covid19, emotional intelligence prevailed as an essential resilience skill for enhancing the quality of life during adversity, especially among students (Maharaj & Ramsaroop, 2022).

Literature Review

Emotional intelligence evolved over the years and spanned from the working environment to the school environment. Mayer and Salovey (1997) defined emotional intelligence as how an individual can control their emotion and utilize it for their advantage. Meanwhile, Petrides et al. (2016) defined emotional intelligence as an individual’s cognition of personal emotion ability in understanding, regulating, and expressing their emotion to the environment for their benefit. Chien-Chi et al. (2020) found that emotional competence influences the entrepreneurial intention among students while completing their social entrepreneurship activity. Emotional intelligence is an emerging topic for psychological, educational and management researchers and practitioners. Mayer and Salovey (1997) were the first to propose the concept of emotional intelligence. According to their definition, emotional intelligence is a subset of social intelligence that includes the capacity to keep an eye on, distinguish between, and utilize one's own and other people's feelings and emotions as a basis for decision-making. Wen et al. (2020) found that entrepreneurial self-efficacy tends to be low among vocational students in China when emotional intelligence is high. As emotional intelligence is related to the ability to control emotion, it affects self-efficacy in the opposite direction. Therefore, entrepreneurial self-efficacy will increase with the improvement of the emotional intelligence level of vocational college students. The study, published in the Strategic Entrepreneurship Journal, found that emotional intelligence was a stronger predictor of entrepreneurial success than general mental ability. A study by Ngah et al. (2016) found that the level of emotional intelligence to entrepreneurial orientation differs between students in Malaysia and Indonesia. Emotional intelligence strongly correlates to entrepreneurial orientation among students in India (Pradhan & Nath, 2012). Meanwhile, a study by Awwad and Ali (2012) posits that empirically emotional intelligence positively affects entrepreneurial orientation and success among managers in Jordan. In addition, emotional intelligence also influences creativity which leads to innovation.

In another investigation, Goleman (1995) pointed out that emotional competencies are learned abilities based on emotional intelligence that result in star performance or outstanding performance. This evidence points towards the link between emotional intelligence and entrepreneurial orientation. A person with high emotional intelligence can build up self-efficacy with calculated risk to create new business opportunities for running a self-owned enterprise. He or she can manage diversity, make independent decisions, and mobilize human resources for optimum utilization (Pradhan & Nath, 2012). Bar-On (2006) mentioned that people with high emotional intelligence can manage stress, survive uncertainty, and can restore health and well-being. These are the abilities required for a person to become a successful entrepreneur. Although many scholars (P. Dubey & Sahu, 2022; Othman et al., 2005). have suggested examining the behaviour of entrepreneurs other than their personal/demographic differences, very little research focus has been there on the emotional intelligence of entrepreneurs. Some studies reported that the psychological characteristics of successful entrepreneurs somehow relate to emotional intelligence, that is, flexibility, need for achievement, tolerance of ambiguity, intuition, self-confidence and adaptation (Rhee & White, 2007).

Few researchers have examined intuition (intuitive personality) and creativity in their entrepreneurship-related research (Boren, 2010; Ensley et al., 2002;Hernández-Perlines et al., 2020). Goleman’s (1995) five components of emotional intelligence—self-awareness, self-regulation, motivating oneself, empathy and handling relationships—are based on the competency approach. Self-awareness involves a realistic assessment of self-ability and self-confidence. Self-regulation refers to conscientiousness, avoiding any hindrance in the task and recovering from emotional distress by managing emotions. Motivating oneself is the tendency to drive one towards a goal, to strive to improve and excel. Empathy is awareness of others’ feelings, needs and concerns. Social skills involve showing desirable emotions to others. Thus, emotional intelligence reflects the extent to which a person attends to, processes and acts upon information of an emotional nature: intrapersonal and interpersonally. In a recent study on entrepreneurship research, Rhee and White (2007) reported that entrepreneurs are change catalysts to new venture processes. They claim that successful young entrepreneurs possess a high level of emotional intelligence (using Goleman’s framework of emotional intelligence) skills such as self-confidence, trustworthiness, achievement orientations, service orientation, change catalyst, teamwork, and collaboration. Trustworthiness—the ability to maintain standards of honesty and integrity— was ranked highest among 18 emotional competencies. It seems that a possible link exists between emotional intelligence and entrepreneurial personality or entrepreneurial orientation at the conceptual and perceptual levels. From the given literature, there is a need to research entrepreneurial orientation and emotional intelligence towards entrepreneurial inclination. Is there any link between the variables? Persons with high emotional intelligence tend to be more able to regulate their emotions (Wong & Law, 2002) and therefore experience more self-confidence and control over their environmental demands, making them act in an entrepreneurial way. Based on the literature review, the following hypotheses have been developed.

  • H1: Emotional Intelligence has a significant impact on Entrepreneurial Inclination
  • H2: Emotional Intelligence has a significant impact on Entrepreneurial Orientation
  • H3: Entrepreneurial Orientation has a significant impact on Entrepreneurial Inclination
  • H4: Entrepreneurial Orientation mediates the relationship between Emotional Intelligence and Entrepreneurial Inclination

Research Methodology

Tests of the correlations in the study model were conducted using a survey methodology. Online questionnaires are now a vital component of research projects. Because of their histories, this strategy is not only easier to reach potential respondents, but it is also less expensive. Moreover, research has demonstrated the importance of online surveys in market research, with 20% of global data collecting technique spending going toward them (Hooley et al., 2012). Since online survey methods have had many constructive advantages, this study implemented the online survey as its primary collection tool.

Emotional Intelligence was operationalized by using the sixteen-item scale of Wong Law Emotional Intelligence Scale (Wong & Law, 2002). The scale measures four aspects of EI: an appraisal of one's own emotions (SEA), appraisal of others' emotions (OEA), use of emotion (UOE) and regulation of emotion (ROE) (LaPalme et al., 2016). Entrepreneurial orientation was adopted from Lumpkin and Dess (1996), and entrepreneurial inclination was adopted from Keat et al. (2011). A five-point Likert-type scale with anchors ranging from "strongly disagree" to "strongly agree" was used to rate each item. To lessen the repetition of questions assessing the same construct, the questionnaire also had items that were properly negated and shuffled. A quantitative research design was used in this study to determine the relationship between the independent variable (emotional intelligence), mediating variable (entrepreneurial orientation) and dependent variable (entrepreneurial inclination) within a population (students).

Results and Discussion

The sample consisted of 37.7% male and 62.3% female. All of them are 18 years old. Most of the students are from the humanities section (64.8%). In terms of race, Malay is the majority, with 64.8%, Indian (19.7%), Chinese (13.1%) and others (2.5%). Table 1 shows the details of demographic profiling.

Table 1 - Demographic Profiling
See Full Size >

The measures were validated and the hypotheses tested using partial least-squares structural equation modeling (PLS-SEM) with the Smart PLS 3.0 programme (Hair et al., 2017). Using a component-based methodology, this latent structural equation modeling strategy reduces sample size requirements (Hair et al., 2014). The PLS method can be used to identify potential links and corroborate theories. Two stages of data analysis were conducted: measurement and structural model development. The internal consistency, discriminant validity, and item loadings of the PLS measurement model were evaluated. Standardized betas of the path coefficients were used to examine the structural model and hypotheses. The model's overall predictive power was evaluated by calculating the explained variation in the dependent constructs.

Measurement Model

The measurement model or outer model presents the outer model results to examine the loadings, reliability, and validity of the measures used to represent each construct (Sarstedt et al., 2021) and the approach of PLS threshold values as suggested by Hair et al. (2017). The outer loadings of each variable showed good loadings ranging from 0.763 to 0.857. Hair et al. (2017) suggested that the factor loadings, composite reliability, and average variance extracted were used to assess convergence validity. The composite reliability values (as shown in Table 2), which show how much the construct indicators reveal the latent, were higher than the suggested threshold of 0.7 (Hair et al., 2017). Additionally, the average variance extracted—which represents the total variance in the indicators that the latent construct accounts for—was higher than the suggested threshold of 0.5 (Hair et al., 2014). As a result, all the variables' and constructions' measures exhibit strong degrees of convergent validity. The heterotrait-monotrait ratio of correlations (HTMT), which has been shown to be reliable in evaluating discriminant analysis, was selected to assess discriminant validity (Henseler et al., 2015).

Table 2 - Convergent Validity
See Full Size >

Low correlation between the measure of interest and the measures of other constructs indicates discriminant analysis, which is the degree to which a measure is not a reflection of another variable (Cheung et al., 2023). Henseler et al. (2015) suggested using the heterotrait-monotrait ratio of correlations (HTMT) to examine discriminant validity because of its better performance in identifying discriminant validity (Ab Hamid et al., 2017). Discriminant validity between two reflective constructs has been demonstrated if the HTMT value is less than 0.90. Table 3 demonstrated that every variable value was less than 0.9, establishing discriminant validity.

Table 3 - Discriminant Analysis
See Full Size >

Structural Model

The structural or inner model examines the hypothesized relationships among the constructs in the research model (Sarstedt et al., 2021). A total of 24.4% of the variance (R²) in entrepreneurial inclination showed a reliable predictive explanatory power of variance explained by antecedents of emotional intelligence and entrepreneurial orientation of students, as shown in Figure 1. Emotional intelligence significantly affects entrepreneurial orientation (β = 0.442 with a t-value of 6.201), with R² of 0.615; therefore, H1 is supported. Emotional intelligence also significantly affects entrepreneurial orientation (β = 0.714 with a t-value of 18.426). Therefore H2 is supported. Meanwhile, entrepreneurial orientation significantly affects entrepreneurial inclination (β = 0.315 with a t-value of 2.493). Therefore H3 is also supported. Finally, entrepreneurial orientation significantly mediates the relationship between emotional intelligence and entrepreneurial inclination (β 0.225, t= 2.486). Table 4 presents the findings of the total effect and hypotheses of the study.

Figure 1: Structural Model
Structural Model
See Full Size >

According to Hair et al. (2014), mediation is the process by which the influence of the independent variable is transferred to the dependent variable. In order to test the mediation analysis that satisfies the requirements set out by Hair et al. (2014) for evaluating the mediation impact, the total effect is obtained by bootstrapping. Subsequently, the VAF (variance account for) calculation demonstrates that there is a mediation between the antecedents and entrepreneurial propensity through entrepreneurial orientation. The model's predictive validity is supported by the low value of 0.244 for the coefficient of determination R² for entrepreneurial inclination (Hair et al., 2017). The Q² value of predicted relevance further supports this conclusion (Karia & Davadas Michael, 2022). When the blindfolding technique (Henseler et al., 2015) is performed with an omission distance of D 9, the PLS path model's predictive importance is indicated by the Q² value of entrepreneurial inclination (0.258), which is significantly higher than zero. In order to test the mediation analysis that satisfies the requirements set out by Hair et al. (2014) for evaluating the mediation impact, the total effect is obtained by bootstrapping. The entrepreneurial orientation serves as a mediator between emotional intelligence and entrepreneurial propensity, as demonstrated by the VAF calculation (99%). Table 4 presents the hypotheses testing results.

Table 4 - Hypotheses Testing
See Full Size >

Discussion and Conclusions

Emotional intelligence has become an important factor in our daily life. During the pandemic, many are affected emotionally due to many challenges. Previous studies have shown a significant relationship between emotional intelligence and entrepreneurial intention (Mortan et al., 2014; Miao et al., 2018; Velástegui & Chacón, 2021), which supported the finding of this study. This study has shown that emotional intelligence influences the entrepreneurial inclination of secondary school students. Interestingly, the subject of entrepreneurship has only been introduced in secondary school to gauge students’ interest in entrepreneurship. It is good to know that students know how to manage their emotional intelligence towards the entrepreneurial orientation of innovativeness and proactiveness, as these two elements are critical for their future endeavours. Even though the impact on entrepreneurial inclination is small, it showed a positive indicator of students’ entrepreneurial inclination. Chang and Tsai (2022) found that the student's emotional intelligence did not directly affect their academic achievement but was mediated by other variables such as learning motivation and self-efficacy. Emotional intelligence is supported by entrepreneurial orientation to create an impact on entrepreneurial intention. Ngah et al. (2016) posited how emotional intelligence influences the entrepreneurial intention of university students who were exposed to entrepreneurship subjects and activities. Previous studies have shown that entrepreneurial orientation is a potent mediator to encourage entrepreneurial intention (Khedhaouria et al., 2020; Kitsios et al., 2021; Zbierowski, 2020). This study contributes to the body of knowledge about the topic, as most emotional intelligence studies focus more on academic performance. The findings showed that students strongly utilize their emotional intelligence towards exploiting their personality traits of entrepreneurial orientation. This is important as Malaysia would like to grow its local young talents in entrepreneurship and technology.

Conclusion

The present study aims to provide a preliminary insight into the link between emotional intelligence, entrepreneurial orientation, and entrepreneurial inclination among high school students. The empirical study has shown that students can utilize their emotional intelligence accordingly and showcase entrepreneurial orientation even though they have not formally attended any entrepreneurship programs. It is good to note that entrepreneurial orientation comprised of proactiveness, innovativeness and risk-taking prevailed towards entrepreneurial intention among students. This is a good indication as the country is moving toward entrepreneurship by 2030. This study has limitations. Firstly, a survey was conducted face to face with students but relied on their perceptions. Secondly, the survey provides only generalizations without in-depth descriptions of related activities among students. However, this study offers many directions for future research. Emotional intelligence can be further to explored by expanding to other types of competence, such as social competence. Other suggestions would be to measure students’ ability to utilize their emotional intelligence in social innovation or social entrepreneurship projects as it is trending currently. The study provides a new understanding of students’ performance and internal capabilities. As mental health has become the main issue among students, emotional intelligence practices would help students be more positive, proactive, innovative, and creative as future leaders.

Acknowledgements

The authors thank the Faculty of Business and Management, Universiti Teknologi MARA, for making this publication possible.

References

  • Ab Hamid, M. R., Sami, W., & Mohmad Sidek, M. H. (2017). Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion. Journal of Physics: Conference Series, 890, 012163. DOI:

  • Awwad, M. S., & Ali, H. K. (2012). Emotional intelligence and entrepreneurial orientation: The moderating role of organizational climate and employees' creativity. Journal of Research in Marketing and Entrepreneurship, 14(1), 115-136.

  • Bar-On, R. (2006). The bar-on model of emotional-social intelligence (ESI). Psicothema, 18, 13–25.

  • Boren, A. E. (2010). Emotional Intelligence: The secret of successful entrepreneurship? Faculty Publications: Agricultural Leadership, Education & Communication Department, 55. https://digitalcommons.unl.edu/aglecfacpub/55

  • Chamizo-Nieto, M. T., Arrivillaga, C., Rey, L., & Extremera, N. (2021). The Role of Emotional Intelligence, the Teacher-Student Relationship, and Flourishing on Academic Performance in Adolescents: A Moderated Mediation Study. Frontiers in Psychology, 12. DOI:

  • Chang, Y. C., & Tsai, Y. T. (2022). The effect of university students’ emotional intelligence, learning motivation and self-efficacy on their academic achievement—online English courses. Frontier Psychology, 13. DOI:

  • Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2023). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management. DOI:

  • Chien-Chi, C., Sun, B., Yang, H., Zheng, M., & Li, B. (2020). Emotional competence, entrepreneurial self-efficacy, and entrepreneurial intention: A study based on China college students’ social entrepreneurship project. Frontiers in Psychology, 11. DOI:

  • Contreras, L., & Cano, M. C. (2016). Social Competence and Child-to-Parent Violence: Analyzing the Role of the Emotional Intelligence, Social Attitudes, and Personal Values. Deviant Behavior, 37(2), 115-125. DOI:

  • Dubey, P., & Sahu, K. K. (2022). Examining the effects of demographic, social and environmental factors on entrepreneurial intention. Management Matters, 19(1), 91-108. DOI: 10.1108/manm-12-2021-0006

  • Dubey, R. (2012). Emotional intelligence and academic motivational among adolescents: A relationship study. International Journal of Multidiscipline Resources. 2, 142–147.

  • Ellwood, B. (2021). Emotional intelligence is more important for being a successful entrepreneur than mental ability, meta-analysis finds. Business, Cognitive Science. https://www.psypost.org/2021/08/emotional-intelligence-is-more-important-for-being-a-successful-entrepreneur-than-mental-ability-meta-analysis-finds-61716

  • Ensley, M. D., Pearson, A. W., & Amason, A. C. (2002). Understanding the dynamics of new venture top management teams: cohesion, conflict, and new venture performance. Journal of Business Venturing, 17(4), 365-386. DOI:

  • Ge, X. (2021). Emotion matters for academic success: Implications of the Article by Jarrell, Harley, Lajoie, and Naismith (2017) for creating nurturing and supportive learning environments to help students manage their emotions. Educational Technology Research and Development, 69(1), 67-70. DOI:

  • Goleman, D. (1995). Emotional intelligence. Bantam Books.

  • Gong, Z., Chen, Y., & Wang, Y. (2019). The Influence of Emotional Intelligence on Job Burnout and Job Performance: Mediating Effect of Psychological Capital. Frontiers in Psychology, 10. DOI:

  • Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd Ed.). Sage Publications Inc.

  • Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106-121. DOI:

  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. DOI:

  • Henter, R. (2014). Affective Factors Involved in Learning a Foreign Language. Procedia - Social and Behavioral Sciences, 127, 373-378. DOI: 10.1016/j.sbspro.2014.03.274

  • Hernández-Perlines, F., Ibarra Cisneros, M. A., Ribeiro-Soriano, D., & Mogorrón-Guerrero, H. (2020). Innovativeness as a determinant of entrepreneurial orientation: analysis of the hotel sector. Economic Research-Ekonomska Istraživanja, 33(1), 2305-2321. DOI: 10.1080/1331677x.2019.1696696

  • Hooley, T., Marriott, J., & Wellens, J. (2012). What is Online Research? Using the Internet for Social Science Research. Bloomsbury Publishing.

  • Karia, N., & Davadas Michael, R. C. (2022). Environmental Practices That Have Positive Impacts on Social Performance: An Empirical Study of Malaysian Firms. Sustainability, 14(7), 4032. DOI:

  • Keat, O. Y., Selvarajah, C., & Meyer, D. (2011). Inclination towards entrepreneurship among university students: An empirical study of Malaysian university students. International Journal of Business and Social Science. 2(4), 206-220.

  • Khedhaouria, A., Nakara, W. A., Gharbi, S., & Bahri, C. (2020). The Relationship between Organizational Culture and Small-firm Performance: Entrepreneurial Orientation as Mediator. European Management Review, 17(2), 515-528. DOI:

  • Kitsios, F., Sitaridis, I., & Kamariotou, M. (2021). Entrepreneurial Education and Emotional Intelligence: A state of the art review, In: Jones, P., N. Apostolopoulos, A. Kakouris, C. Moon, V. Ratten, & A. Walmsley (Eds.), Universities and entrepreneurship: Meeting the educational and social challenges (Chapter 2, pp. 13-32.), Emerald Publishing Limited.

  • LaPalme, M. L., Wang, W., Joseph, D. L., Saklofske, D. H., & Yan, G. (2016). Measurement equivalence of the Wong and Law Emotional Intelligence Scale across cultures: An item response theory approach. Personality and Individual Differences, 90, 190-198. DOI:

  • MacCann, C., Jiang, Y., Brown, L. E. R., Double, K. S., Bucich, M., & Minbashian, A. (2020). Emotional intelligence predicts academic performance: A meta-analysis. Psychological Bulletin, 146(2), 150-186. DOI:

  • Maharaj, P., & Ramsaroop, A. (2022). Emotional intelligence as a contributor to enhancing educators' quality of life in the COVID-19 era. Frontiers in Psychology, 13. DOI:

  • Mayer, J. D., & Salovey, P. (1997). What is emotional intelligence? In P. Salovey & D. Sluyter (Eds.), Emotional development and emotional intelligence: Educational implications. Basic Books.

  • Mayer, J. D., Caruso, D. R., & Salovey, P. (2016). The Ability Model of Emotional Intelligence: Principles and Updates. Emotion Review, 8(4), 290-300. DOI:

  • Miao, C., Humphrey, R. H., Qian, S., & Pollack, J. M. (2018). Emotional intelligence and entrepreneurial intentions: an exploratory meta-analysis. Career Development International, 23(5), 497-512. DOI:

  • Mortan, R. A., Ripoll, P., Carvalho, C., & Bernal, M. C. (2014). Effects of emotional intelligence on entrepreneurial intention and self-efficacy. Revista de Psicología del Trabajo y de las Organizaciones, 30(3), 97-104. DOI:

  • Nagahi, M. (2014). Relationship between emotional intelligence and psychological well-being. International Journal of Research in Organizational Behavior and Human Resource Management, 2. 123–144.

  • Nawaz, T., Javed, A., & Ullah, A. (2019). Emotional Intelligence, Entrepreneurial Self-Efficacy and Entrepreneurial Intention. Global Social Sciences Review, IV(II), 364-370. DOI:

  • Ngah, R., Wahyukaton, Salleh, Z., & Sarmidy, R. (2016). Comparative Study of Emotional Intelligence and Entrepreneurial Orientation Between Malaysian and Indonesian University Students. Procedia Economics and Finance, 37, 100-107. DOI:

  • Othman, M. N., Ghazali, E., & Cheng, O. C. (2005). Demographics and personal characteristics of urban Malaysian entrepreneurs: an ethnic comparison. International Journal of Entrepreneurship and Innovation Management, 5(5/6), 421. DOI:

  • Petrides, K. V., Mikolajczak, M., Mavroveli, S., Sanchez-Ruiz, M.-J., Furnham, A., & Pérez-González, J.-C. (2016). Developments in Trait Emotional Intelligence Research. Emotion Review, 8(4), 335-341. DOI: 10.1177/1754073916650493

  • Pradhan, R. K., & Nath, P. (2012). Perception of Entrepreneurial Orientation and Emotional Intelligence: A Study on India's Future Techno-Managers. Global Business Review, 13(1), 89-108. DOI:

  • Rhee, K. S., & White, R. J. (2007). The Emotional Intelligence of Entrepreneurs. Journal of Small Business & Entrepreneurship, 20(4), 409-425. DOI:

  • Sarstedt, M., Hair, J. F., & Ringle, C. M. (2021). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research. Springer International Publishing. DOI:

  • Surti, M. N., & Gangal, V. (2021). Evolution of emotional intelligence, 24, 133-141.

  • Velástegui, O. V., & Chacón, S. C. (2021). Emotional competencies and entrepreneurial intention: An extension of the theory of planned behavior case of Ecuador. Cogent Business & Management, 8(1). DOI:

  • Weinberger, L. A. (2009). Emotional Intelligence, Leadership Style, and Perceived Leadership Effectiveness. Advances in Developing Human Resources, 11(6), 747-772. DOI:

  • Wen, Y., Chen, H., Pang, L., & Gu, X. (2020). The Relationship between Emotional Intelligence and Entrepreneurial Self-Efficacy of Chinese Vocational College Students. International Journal of Environmental Research and Public Health, 17(12), 4511. DOI:

  • Wong, C.-S., & Law, K. S. (2002). The effects of leader and follower emotional intelligence on performance and attitude. The Leadership Quarterly, 13(3), 243-274. DOI:

  • Zbierowski, P. (2020). The mystery of high performance - mediation by entrepreneurial orientation and organizational citizenship behavior. Journal of Entrepreneurship, Management and Innovation, 16(2), 67-92. DOI:

Copyright information

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

About this article

Publication Date

06 May 2024

eBook ISBN

978-1-80296-132-4

Publisher

European Publisher

Volume

133

Print ISBN (optional)

-

Edition Number

1st Edition

Pages

1-1110

Subjects

Cite this article as:

Ngah, R., Junid, J., Lajin, N. F. M., & Bakhodirovich, G. S. (2024). Emotional Intelligence and Entrepreneurial Orientation on Entrepreneurial Inclination of Secondary School Students. In A. K. Othman, M. K. B. A. Rahman, S. Noranee, N. A. R. Demong, & A. Mat (Eds.), Industry-Academia Linkages for Business Sustainability, vol 133. European Proceedings of Social and Behavioural Sciences (pp. 295-306). European Publisher. https://doi.org/10.15405/epsbs.2024.05.25