Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Psychol., 12 August 2025

Sec. Educational Psychology

Volume 16 - 2025 | https://doi.org/10.3389/fpsyg.2025.1585658

This article is part of the Research TopicMusic Education, Embodiment & Flourishing - Volume IIView all 5 articles

Multifactorial influences on musical creativity: an integrated perspective on cognitive and social capital factors

  • 1School of Finance and Economics, Guangxi Science & Technology Normal University, Liuzhou, China
  • 2Faculty of Social Sciences & Liberal Arts, UCSI University, Kuala Lumpur, Malaysia
  • 3School of Physical Education, Chongqing University of Posts and Telecommunications, Chongqing, China

Introduction: Musical creativity is a crucial aspect of music education and innovation. This study has aimed to systematically examine its key determinants, with particular attention to cognitive and social capital mechanisms.

Methods: Grounded in the componential theory of creativity, social capital theory, social cognitive theory, this study has developed a conceptual framework incorporating five explanatory variables. It has employed partial least squares structural equation modeling (PLS-SEM) to analyze data from 962 university students.

Results: The findings have revealed that social capital has exerted both direct effect and moderating effect on creative self-efficacy. While creative thinking has emerged as the strongest antecedent, its influence on musical creativity has diminished under the moderation of social capital. In contrast, musical aesthetic ability, though the weakest antecedent, has demonstrated a significant effect on musical creativity when moderated by social capital. Furthermore, creative self-efficacy has served as a mediating factor in the musical creativity model.

Conclusion: This study has highlighted the complex interplay between cognitive and social capital in shaping musical creativity, thereby enriching its theoretical foundation. The findings have offered novel insights and practical implications for music education by equipping educators with strategies to cultivate students' creative potential and encourage innovation in higher education.

1 Introduction

Musical creativity has served as a fundamental catalyst for artistic development, encompassing core activities such as composition, improvisation, performance, listening, and musical analysis (Bashwiner et al., 2020). It has empowered individuals to generate original musical ideas, respond adaptively to dynamic musical contexts, and engage in reflective, personalized music-making (Burnard, 2012). Beyond its artistic value, musical creativity has contributed to broader developmental outcomes, including enhanced cognitive flexibility, emotional expression, and psychological wellbeing (Welch and Ockelford, 2015). Consequently, it has increasingly been recognized as a vital competency for 21st-century learners navigating complex, technology-driven cultural landscapes.

From a psychological perspective, musical creativity is not merely a talent but a skill that can be cultivated through systematic intervention (Craft, 2005). Although society and the educational community have increasingly recognized the importance of creativity in personal development and education, contemporary music education has often failed to effectively stimulate and nurture students' creativity in practice (Lasky and Yoon, 2020; Welch, 2012). Research has suggested that college music courses should serve as ideal environments for fostering students' creativity. However, many traditional music education models have overemphasized technical training while neglecting creative expression, thereby marginalizing creativity within the curriculum (Jackson and Shaw, 2006; Marquis et al., 2017; Piazza and Talbot, 2021).

The componential theory of creativity has been regarded as the most suitable theoretical framework for music research (Huovinen, 2021). It has posited that creativity is influenced by social capital, creative thinking, and domain-specific expertise (Amabile, 1988; Chin et al., 2018; Özgenel and Çetin, 2017). Although cognitive and social capital factors have been considered critical to creative development, few studies have examined their dynamic interplay within the context of musical creation (Schiavio et al., 2022). Empirical findings have shown that creative self-efficacy has exerted a stronger influence on creativity than creative thinking (Huang et al., 2020). Nevertheless, a comprehensive understanding of how these cognitive and social capital mechanisms interact to foster musical creativity has remained insufficient.

Despite the growing interest in musical creativity, research in this area has remained fragmented and has often lacked an integrative perspective (Burnard, 2012; Barrett et al., 2012; Odena and Welch, 2009; Ozenc-Ira, 2023). Many studies have isolated specific elements of creativity (e.g., cognitive processes, emotional engagement, or motivational drivers) without adequately examining how these components interact within complex, interdisciplinary frameworks (Hargreaves et al., 2012). This lack of integration has created a significant gap in the literature, particularly concerning how multi-level interactions among cognitive, emotional, and social capital factors have contributed to creative outcomes in music (Brattico et al., 2013; Brattico and Varankaite, 2019; Schindler et al., 2017; Zentner et al., 2008). This study has aimed to address this gap by synthesizing existing theory and empirical research to develop an interdisciplinary framework that integrates psychology, music education, and cognitive science. In doing so, it has sought to advance psychological theories of musical creativity while offering practical insights for music educators. The findings are expected not only to enhance music education practices but also to contribute to a more nuanced understanding of the psychological mechanisms underpinning musical creativity, ultimately supporting the cultivation of students' creative potential in a more holistic manner.

2 Theoretical background

(Bandura 1986) has emphasized that self-efficacy plays a central role in creative behavior. Applied to creativity, creative self-efficacy has represented individuals' confidence in their ability to generate creative outcomes, serving as a key psychological mechanism that links social influences to performance (Bandura, 1997; Tierney and Farmer, 2002). From the perspective of Social Capital Theory, trust-based relationships and shared norms have enhanced individuals' belief in their creative capacity, thereby enabling more effective engagement in creative tasks (Coleman, 1988; Woolcock and Narayan, 2000; Woolcock, 2002). Meanwhile, the Componential Theory of Creativity has proposed that both social capital and creative self-efficacy are essential for musical creative performance, particularly when supported by domain-relevant skills and a conducive social environment (Amabile, 1983, 2013; Torrance, 1988). Accordingly, creative self-efficacy has emerged as a point of theoretical convergence, mediating or moderating the influence of social capital (external condition) and creative thinking or musical aesthetic ability (internal processes) on musical creativity. As depicted in the conceptual model, creative self-efficacy has functioned as the sole mediating construct connecting social capital, creative thinking, and musical aesthetic ability with musical creativity. This reflects a social-cognitive pathway that has integrated external resources and internal processes.

3 Literature review and research hypotheses

Social capital has highlighted how relationships grounded in trust and shared norms have contributed to personal growth and capability development (Coleman, 1988; Nahapiet and Ghoshal, 1998; Woolcock and Narayan, 2000). Furthermore, it has provided emotional support and instrumental resources that have strengthened creative self-efficacy and engagement (Woolcock, 2002; Williams, 2006). In educational contexts, strong peer relationships and collaborative networks have been shown to enhance creative learning and foster students' sense of efficacy (Chiu et al., 2006; Chow and Chan, 2008).

Musical creativity has been understood as a process influenced by expertise (i.e., deep and rich knowledge), creative thinking (i.e., problem-solving methods), and social capital (i.e., passion for the task), all of which have directly shaped creative musical outcomes (Amabile, 1988; Webster, 1990; Sternberg, 2003; Dilekçi and Karatay, 2023; Durnali et al., 2023). (Hickey and Webster 2001, p. 11) has defined musical creativity as “the engagement of the mind in the active, structured process of thinking in sound to produce some product that is new for the creator.” However, little empirical research has been conducted on the application of the Componential Theory of Creativity within the field of music. Musical creativity has remained a complex and multidimensional phenomenon, involving the synergy of various cognitive and affective factors (Palhares et al., 2022).

The present study has constructed a model that has integrated social capital, creative thinking, musical aesthetic ability, and creative self-efficacy to predict musical creativity. As illustrated in Figure 1, creative self-efficacy has been positioned as the sole mediating variable, reflecting the explanatory power of Social Cognitive Theory in bridging the Componential Theory of Creativity and Social Capital Theory. Additionally, the model has examined the moderating effects of social capital on the relationships between cognitive components—namely, creative thinking and musical aesthetic ability—and creative self-efficacy (Kritsotakis et al., 2008; Perez Fernandez et al., 2024).

Figure 1
Flowchart illustrating relationships between social capital, creative thinking, musical aesthetic, creative self, and musical creativity. Arrows indicate hypothesized pathways labeled H1 through H12, suggesting various influences among these factors.

Figure 1. Research model and hypotheses. MC, Musical creativity; CT, Creative thinking; MAA, Musical aesthetic ability; SC, Social capital; CSE, Creative self-efficacy.

3.1 The internal process

3.1.1 Creativity self-efficacy

Creative self-efficacy has referred to an individual's belief in their capacity to produce creative outcomes, drawing from Bandura's (1997) general theory of self-efficacy and subsequently adapted to creativity by Tierney and Farmer (2002). It has influenced individuals' motivation, task engagement, and persistence in creative endeavors. Empirical studies have consistently demonstrated that creative self-efficacy is positively associated with creativity-related outcomes. For instance, Bicer et al. (2020) have emphasized the significance of a strong sense of creative self-belief, while Qiang et al. (2020) have identified it as a predictor of scientific and musical creativity among high school students. Individuals with higher creative self-efficacy have typically exhibited greater resilience, a lower adherence to conventional norms, and a stronger inclination toward innovative thinking and problem-solving (Huang et al., 2020). Based on the preceding literature and theoretical discussion, this study has proposed the following hypotheses (see Figure 1).

H1: Creativity self-efficacy has a significant effect on musical creativity.

Social capital has enhanced individual agency and psychological development by facilitating access to supportive social environments (Nahapiet and Ghoshal, 1998; Woolcock and Narayan, 2000; Chetty et al., 2022). Within this framework, creative self-efficacy has emerged as a central psychological mechanism through which social structures have exerted their influence. Self-efficacy has consistently been identified as a mediator in the link between social factors and personal outcomes, suggesting that confidence in one's abilities has bridged the gap between social support and individual performance (Kritsotakis et al., 2008). Specifically, creative self-efficacy has been empirically demonstrated to mediate the relationship between social capital and musical creativity, affirming its role as a transformative conduit between social environments and creative expression (Perez Fernandez et al., 2024). Based on the preceding literature and theoretical rationale, this study has proposed the following hypotheses (see Figure 1).

H2: Creative self-efficacy has a significant mediating effect on social capital and musical creativity.

Furthermore, findings regarding the relationship between creative self-efficacy and creative thinking have remained mixed. While some studies have reported positive effects on ideation and fluency (Qiang et al., 2020; Farmer and Tierney, 2017), others have found no significant correlation or have even yielded contradictory results (Jaussi et al., 2007). Haase et al. (2018) have suggested that these inconsistencies may have stemmed from variations in the design of creativity tasks. Based on the preceding literature and theoretical discussion, this study has proposed the following hypotheses (see Figure 1).

H3: Creative self-efficacy has a significant mediating effect on creative thinking and musical creativity.

Recent work by Chen et al. (2024) has highlighted a bidirectional relationship between creative self-efficacy and musical aesthetic ability, consistent with Csikszentmihalyi's (1990) theory of flow, which has asserted that musical aesthetic ability strengthens when individuals believe in their creative capabilities. This perspective has also aligned with Van den Broeck et al. (2016), who have argued that musical aesthetic ability fosters intrinsic enjoyment and sustained engagement, even when individuals encounter creative challenges. Based on the preceding literature and conceptual rationale, this study has proposed the following hypotheses (see Figure 1).

H4: Creative self-efficacy has a significant mediating effect on musical aesthetic ability and musical creativity.

3.2 The external constructs

3.2.1 Social capital

Social capital, defined as the resources embedded within social networks, has played a central role in the development of individual cognitive and psychological capacities (Coleman, 1988). It has enabled individuals to access constructive feedback, emotional encouragement, and shared norms that have collectively strengthened their self-belief. Empirical studies have consistently demonstrated that robust social networks have enhanced individuals' perceived competence and confidence (Woolcock, 2002; Williams, 2006; Portes, 2024). Within educational contexts, social trust and peer interaction have fostered students' creative self-efficacy by shaping collaborative and supportive learning environments (Chiu et al., 2006; Chow and Chan, 2008). Based on this body of evidence, the following hypothesis has been proposed (see Figure 1).

H5: Social capital has a significant effect on creative self-efficacy.

Social capital has also directly facilitated creative expression. According to the relational view of social capital, it has served as a foundation for trust-based knowledge exchange, thereby stimulating innovative thinking (Nahapiet and Ghoshal, 1998). In the context of music education, access to diverse social interactions has provided not only emotional support but also creative inspiration and opportunities for collaboration (Woolcock and Narayan, 2000). This connection has proven particularly significant in artistic domains, where co-creation and mutual appreciation have enhanced originality. Accordingly, the following hypothesis has been proposed (see Figure 1).

H6: Social capital has a significant effect on musical creativity.

Although creative thinking has served as a primary driver of creativity, its impact has often been shaped by the surrounding social environment (Hickey and Webster, 2001). Social capital has been shown to either facilitate or constrain the realization of creative potential, depending on the levels of trust, shared norms, and access to supportive structures embedded in a given context (Woolcock, 2002). In socially enriched environments, individuals have been more likely to receive constructive feedback, recognition, and encouragement, all of which have enhanced the expression of their creative thinking. Moreover, social-contextual conditions have significantly influenced the effectiveness of psychological traits such as creativity, underscoring the importance of simultaneously considering both personal dispositions and environmental influences in creativity research (Kritsotakis et al., 2008; Durnali et al., 2023). Accordingly, the following hypothesis has been proposed (see Figure 1).

H7: Social capital has a significant moderating effect on creative thinking and musical creativity.

Musical aesthetic ability has been widely recognized as a foundational dimension of musical creativity (Amabile, 1988; Fingerhut et al., 2021; Clemente et al., 2022). However, its influence on creative outcomes has likely been shaped by social capital factors (Wahed et al., 2021). As Woolcock (2002) has suggested, individuals have been more capable of transforming aesthetic perception into creative performance when embedded in supportive social networks. Trust, shared values, and peer appreciation for artistic expression have strengthened the link between aesthetic sensitivity and creative output (Williams, 2006; Chow and Chan, 2008). Accordingly, the following hypothesis has been proposed (see Figure 1).

H8: Social capital has a significant moderating effect on musical aesthetic ability and musical creativity.

3.2.2 Creative thinking

Creative thinking has been widely recognized as a foundational skill in the creative process. According to Torrance (1988), it has involved problem-solving, hypothesizing, generating novel ideas, and presenting innovative solutions. Prior empirical studies have demonstrated a positive association between creative self-efficacy and the development of creative thinking (Huang et al., 2020; Dilekçi and Karatay, 2023). Webster (1990) has defined creative thinking in music as a dynamic psychological process driven by internal musical abilities and external stimuli, culminating in the creation of a new musical product. Creativity has been conceptualized as a latent personal trait that can be observed through performance in structured creative thinking tasks (Kupers et al., 2019; Kupers and van Dijk, 2020; Dilekçi and Karatay, 2023; Durnali et al., 2023). Accordingly, the following hypothesis has been proposed (Figure 1).

H9: Creative thinking has a significant effect on creativity self-efficacy.

H10: Creative thinking has a significant effect on musical creativity.

3.2.3 Musical aesthetic ability

Musical aesthetic ability has been defined as the capacity to perceive, understand, evaluate, appreciate, and create beauty in music (Dan et al., 2021). Prior studies have highlighted its significance in fostering creative development. For instance, Raikou (2016) has demonstrated that aesthetic sensitivity contributes meaningfully to the enhancement of creativity. Additionally, higher levels of aesthetic appreciation have been associated with positive emotional experiences and increased creative output. Specifically, positive emotions have shown strong correlations with creativity, whereas negative emotions have not exhibited such associations (Świa̧tek et al., 2023a,b). One widely used method to assess creative self-efficacy has involved asking individuals to reflect on their experiences and emotional states during creative engagement. Reports of curiosity, interest, enjoyment, and similar positive feelings have been interpreted as indicators influenced by creative self-efficacy (Sarasso et al., 2021; Fishbach and Woolley, 2022; Clemente et al., 2022). These findings have indirectly confirmed the linkage between musical aesthetic ability and creative self-efficacy. Accordingly, the following hypothesis has been proposed (Figure 1).

H11: Musical aesthetic ability has a significant effect on creativity self-efficacy.

H12: Musical aesthetic ability has a significant effect on musical creativity.

4 Methods

4.1 Participants and data collection

The participants in this study were university students from China. Data were collected through an online survey distributed via the WeChat platform. Respondents provided demographic information and completed a series of creativity-related scales and assessments. A total of 962 valid questionnaires were collected, all of which contained complete responses. Among the participants, 525 were female (54.6%) and 437 were male (45.4%). The majority of respondents (n = 627, 65.2%) were between 18 and 25 years old.

4.2 Measures

This study employed previously validated measurement scales, with item wording adapted to suit the specific research context. A 10-point semantic differential scale was used to assess participants' level of agreement with each item, ranging from 1 (strongly disagree) to 10 (strongly agree). The hypothesized model included three exogenous variables (social capital, creative thinking, and musical aesthetic ability), one mediating variable (creative self-efficacy), and one endogenous variable (musical creativity).

4.2.1 Social capital

This study used 30 items from social capital scale (Onyx and Bullen, 2000). With acceptable internal consistency (α = 0.76). Social capital scale to measure university students' perspective of music. Sample items included “I like the intensity of the experience that music gives me” and “Being similar to my peers in terms of musical tastes helps us connect better.”

4.2.2 Creative thinking

The structure was assessed using the Marmara Creative Thinking Dispositions Scale (Özgenel and Çetin, 2017), an instrument containing 24 items (α = 0.91). The instrument has been extensively validated. It consists of six dimensions: Innovation search (α = 0.84), courage (α = 0.67), self-discipline (α = 0.71), inquisitive (α = 0.67), doubt (α = 0.71), and flexibility (α = 0.61). The scores for each dimension were calculated to indicate the students' creative thinking.

4.2.3 Musical aesthetic ability

This study assessed university students' musical aesthetic ability through two dimensions, perception, and appreciation, based on theories of art education (Dan et al., 2021). Students were asked to complete a short-written test, and the final score was used to measure the construct.

4.2.4 Creative self-efficacy

To measure teachers' creative self-efficacy, we used a three-item scale developed by Tierney and Farmer (2002) (α = 0.86). The items were: (1) “I am good at coming up with new ideas,” (2) “I have a knack for solving problems creatively,” and (3) “I have confidence in my ability to be creative.” Respondents rated each item on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). The final CSE score was computed by averaging the three items, with higher scores indicating greater creative self-efficacy.

4.2.5 Musical creativity

Five items were adapted from Osmani et al. (2022), which described individuals' subjective ratings of their creativity abilities (CR = 0.756). Example item: I look for new solutions even if there is no clear need.

4.3 Data analysis

This study employed Structural Equation Modeling (SEM) as the primary analytical methodology. Given the study's focus on assessing the relationships among multiple constructs, Partial Least Squares Structural Equation Modeling (PLS-SEM) was deemed the most appropriate analytical approach (Hair et al., 2017). As a second-generation regression technique, PLS-SEM enables the simultaneous estimation of both measurement and structural models, providing a robust means of examining complex variable relationships (Hair et al., 2017). Following Hair et al.'s (2017) guidelines, the analysis proceeded in two stages. First, the measurement model was assessed to establish construct reliability and validity. Then, the structural model was evaluated to test the hypothesized relationships among variables. All statistical analyses were conducted using SmartPLS version 4.1.

5 Results

5.1 Measurement model

Assessment of the measurement model was based on four key criteria: indicator reliability, internal consistency reliability, convergent validity, and discriminant validity (Hair et al., 2017).

To evaluate indicator reliability, standardized factor loadings of all items were examined. Loadings above 0.40 were considered acceptable, following Hair et al. (2017). Four items with low loadings were removed, and the remaining indicators demonstrated satisfactory reliability.

Internal consistency was assessed using Cronbach's alpha and composite reliability (CR). As shown in Table 1, all constructs exceeded the recommended threshold of 0.70, indicating acceptable structural reliability.

Table 1
www.frontiersin.org

Table 1. Reliability and validity results.

Convergent validity was confirmed by calculating the Average Variance Extracted (AVE), which should exceed 0.50. Table 1 indicates that all AVE values met this threshold, with the minimum AVE being 0.504, suggesting that each construct accounted for at least 50% of the variance in its indicators.

Discriminant validity was assessed using both the Fornell–Larcker criterion and the Heterotrait–Monotrait ratio (HTMT). According to Fornell and Larcker (1981), the square root of the AVE for each construct should be greater than its correlations with other constructs. After evaluating indicator performance, 22 items were removed. As shown in Table 2, the remaining constructs met the Fornell–Larcker criterion. HTMT values were also computed to assess discriminant validity. As recommended by Henseler et al. (2015), all HTMT values were below the conservative threshold of 0.90 (Table 3), thereby confirming satisfactory discriminant validity.

Table 2
www.frontiersin.org

Table 2. Fornell-Larcker criterion.

Table 3
www.frontiersin.org

Table 3. Heterotrait-monotrait ratio (HTMT).

5.2 Structural model

The structural model (i.e., path model) was evaluated following the criteria proposed by Hair et al. (2017), including: (1) collinearity assessment, (2) the significance and relevance of structural relationships, (3) the model's explanatory power (R2), and (4) predictive relevance (Q2). To assess the robustness of the model, a bootstrapping procedure was conducted, and both direct and indirect effects were examined.

First, collinearity was evaluated using the Variance Inflation Factor (VIF), a standard metric for detecting multicollinearity. All constructs exhibited VIF values below the threshold of 5, indicating no significant multicollinearity issues (Hair et al., 2017).

Second, the R2 values for the endogenous variables are reported in Table 4. These values reflect the proportion of variance explained by the exogenous variables. According to Hair et al. (2017), R2 values of 0.26 to 0.50 indicate moderate explanatory power. In this study, musical creativity (R2 = 0.402) and creative self-efficacy (R2 = 0.378) fall within this range, suggesting a moderate level of model fit.

Table 4
www.frontiersin.org

Table 4. R2 and Q2 of endogenous variables.

Third, predictive relevance was assessed using the Q2 value, obtained via blindfolding procedures. Based on Hair et al.'s (2017) guidelines, Q2 values above 0.25 indicate moderate predictive relevance, while values above 0.50 suggest high predictive relevance. Both creative self-efficacy and musical creativity yielded Q2 values above 0.25, confirming moderate predictive relevance (see Table 4).

To test the proposed hypotheses and structural relationships, standardized path coefficient analyses were conducted (Table 5). The results revealed that creative thinking exerted the strongest positive influence on musical creativity (β = 0.315, p < 0.05), followed by social capital (β = 0.180, p < 0.05), creative self-efficacy (β = 0.150, p < 0.05), and musical aesthetic ability (β = 0.088, p < 0.05). These findings suggest that all four variables significantly contribute to musical creativity. Accordingly, hypotheses H1, H6, H10, and H12 were supported.

Table 5
www.frontiersin.org

Table 5. Hypotheses testing.

Regarding the antecedents of creative self-efficacy—the study's main mediating construct—social capital emerged as the strongest predictor (β = 0.286, p < 0.05), followed by musical aesthetic ability (β = 0.198, p < 0.05) and creative thinking (β = 0.193, p < 0.05). These results indicate that these three variables play significant roles in enhancing students' belief in their creative capacities. Creative self-efficacy was also found to mediate the effects of social capital, creative thinking, and musical aesthetic ability on musical creativity. Therefore, hypotheses H2, H3, H4, H5, H9, and H11 were supported (Table 5).

Additionally, the study examined the moderating role of social capital. Results showed that social capital significantly moderated the relationship between musical aesthetic ability and musical creativity (β = 0.105, p < 0.05), but did not significantly moderate the relationship between creative thinking and musical creativity (β = −0.062, p > 0.05). Thus, hypothesis H8 was supported, whereas H7 was not (Table 5). Figure 2 presents the structural model of the study, illustrating all validated paths and variable relationships.

Figure 2
Path analysis diagram showing relationships and values between variables SC, CT, MAA, CSE, and MC. Arrows indicate direction, with values and p-values in parentheses, such as 0.286 (0.000) from SC to CSE.

Figure 2. PLS-SEM path coefficients and significance testing results of the structural model. MC, Musical creativity; CT, Creative thinking; MAA, Musical aesthetic ability; SC, Social capital; CSE, Creative self-efficacy.

6 Discussion

This study investigated the underlying mechanisms of musical creativity by extending the componential model of creativity to incorporate both cognitive and social capital factors. The findings offer meaningful contributions to the literature on music education and creativity by revealing how internal traits and external conditions interact to shape creative outcomes. Four key discussions emerged: (1) Discussion 1 (H1, H2, H3, H4), Creative self-efficacy functioned as a mediator between the three antecedents—social capital, creative thinking, and musical aesthetic ability—and musical creativity, confirming its central role in the creative process. (2) Discussion 2 (H5, H6), social capital not only exerts a direct influence on creative self-efficacy but also plays a moderating role, enhancing the impact of other cognitive factors on creative outcomes. (3) Discussion 3 (H7, H9, H10), creative thinking emerged as the strongest predictor of musical creativity. However, its positive effect was not significant when social capital was introduced as a moderator, suggesting no significant interaction between creative thinking and social capital among university students. (4) Discussion 4 (H8, H11, H12), Musical aesthetic ability showed the weakest direct effect on musical creativity. Nevertheless, its relationship with musical creativity became significant under the moderating effect of social capital, highlighting the role of social context in amplifying aesthetic perception.

Regarding Discussion 1 (H1, H2, H3, H4), the results demonstrate that creative self-efficacy functions as a key mediating variable, underscoring both its theoretical relevance in shaping indirect pathways and its practical significance as a direct driver of musical creativity. First, the mediating effect of creative self-efficacy aligns with Bandura's (1997) self-efficacy theory, which posits that self-belief is a central mechanism through which external factors influence performance. In line with this, social capital enhances creative performance by strengthening individuals' creative self-efficacy (Chiu et al., 2006). Second, the influence of creative thinking on musical creativity is also mediated by creative self-efficacy, as it boosts individuals' confidence in successfully engaging in creative tasks, thereby motivating greater innovation (Zeng et al., 2022). Third, musical aesthetic ability fosters musical creativity indirectly by enhancing creative self-efficacy, affirming that aesthetic experience and sensitivity act as psychological resources that promote creative output through strengthened efficacy beliefs (Chen et al., 2001; Smith et al., 2020). Collectively, these findings reinforce the central role of creative self-efficacy in the psychological mechanisms underlying musical creativity (Amabile and Pratt, 2016). Result 4 reveals that creative self-efficacy serves as a pure mediator, playing a dual role by linking key antecedents to musical creativity. Theoretically, it captures both internal psychological processes and a core cognitive resource for creativity. Statistically, it enhances the explanatory power of the model, and practically, it represents a strategic focal point for creativity-oriented educational interventions.

Regarding discussion 2 (H5, H6), This study confirms that social capital plays a multifaceted and influential role in music education by both directly and indirectly shaping students' creative outcomes. Specifically, social capital was found to have a significant direct effect on creative self-efficacy (H5 supported) and musical creativity (H6 supported). According to social capital theory (Coleman, 1988), access to trust-based relationships and supportive networks not only fosters engagement but also enhances individuals' belief in their creative capabilities (Woolcock and Narayan, 2000). This finding aligns with prior research suggesting that students with higher levels of social capital tend to exhibit stronger creative self-efficacy (Beghetto and Kaufman, 2014). Moreover, social capital acts as a moderator, strengthening the effect of musical aesthetic ability on creative self-efficacy. In line with earlier studies (Kritsotakis et al., 2008; Chow and Chan, 2008; Perez Fernandez et al., 2024), this study further demonstrates that individuals embedded in rich social networks are more likely to engage deeply in musical creation, invest greater cognitive resources, and produce more original and high-quality outputs. Thus, social capital serves a dual function, directly promoting musical creativity and amplifying the impact of other antecedents, making it a critical enabler in the development of creative potential.

Regarding Discussion 3 (H7, H9, H10), the findings reveal that creative thinking exerts a significant positive effect on creative self-efficacy (H9 supported), consistent with Bandura's (1997) self-efficacy theory, which posits that individuals strengthen their belief in their capabilities through evaluative and reflective cognitive activities. Creative thinking also significantly enhances musical creativity (H10 supported), corroborating prior research that highlights its central role in driving creative output in music (Sternberg, 2006; Amabile and Pratt, 2016). However, social capital was not found to significantly moderate the relationship between creative thinking and creative self-efficacy (H7 not supported), suggesting that the influence of creative thinking on self-efficacy remains stable across varying levels of social capital. This may be attributed to the inherent nature of creative thinking as a stable cognitive process, relatively unaffected by fluctuations in external contextual factors (Hennessey and Amabile, 2010; Beghetto and Kaufman, 2014). Often operationalized as divergent thinking, creative thinking emphasizes the capacity to generate multiple, novel, and flexible ideas (Guilford, 1967; Sternberg and Lubart, 1999; Hickey and Webster, 2001), a process less reliant on social feedback or group-based support. Consequently, social capital does not significantly moderate the relationship between creative thinking and musical creativity. These findings suggest that the development of creative thinking is largely independent of social capital, implying that even substantial investment in social or educational infrastructure may not directly enhance students' creative thinking unless cognitive mechanisms are specifically targeted through instructional design and pedagogical intervention.

Regarding Discussion 4 (H8, H11, H12), the results indicate that musical aesthetic ability has a significant positive effect on creative self-efficacy (H11 supported). This aligns with Csikszentmihalyi and Robinson's (1990) findings, which suggest that the positive emotions and perceptual experiences evoked during aesthetic engagement enhance individuals' belief in their creative capacities, thereby boosting creative self-efficacy. Musical aesthetic ability also significantly predicts musical creativity (H12 supported), reinforcing prior research that identifies aesthetic sensitivity as a foundational precursor to creative output (Zentner et al., 2008; Brattico et al., 2013; Świa̧tek et al., 2023b). Moreover, this study confirms the moderating role of social capital in the relationship between musical aesthetic ability and creative self-efficacy (H8 supported), indicating that individuals with higher levels of social capital benefit more strongly from the influence of aesthetic experience on self-belief. This finding supports Amabile and Pratt's (2016) theoretical proposition that social capital can amplify the translation of individual abilities and experiences into enhanced self-efficacy, which in turn fosters creative performance. Taken together, Result 3 provides compelling support for positioning musical aesthetic ability as an essential curricular objective within music education syllabi.

7 Limitations and future research

This study recognizes the limitations of its scope, primarily due to restricted sample size and geographic representation. Future research needs to be conducted with a broader sample, including individuals from different ages, socioeconomic backgrounds, and ethnicities, to obtain more generalizable results. Additionally, consideration should be given to the use of multiple data collection methods, such as behavioral observations, experimental designs, and physiological measurements, to increase the data's objectivity and comprehensiveness. Finally, the inherent limitations of self-report assessments should be considered as this may be subject to memory errors or the way they perceive social expectations to answer. Future research could combine self-report questionnaires with actual performance tests of musical creativity to confirm the findings and provide greater insight into the gap between subjective assessments and objective measures, increasing the reliability and validity of the data.

8 Conclusion

This study reveals the main determinants of musical creativity and the complex mechanisms that influence it through theorizing and empirical analysis. This study proposes and validates a triangular antecedent model centered on social capital, creative thinking, and musical aesthetic ability, systematically revealing the key influencing factors and mechanisms underlying musical creativity. First, the results suggest that social capital not only has positive effect on creative self-efficacy, but also exhibits a moderated effect on creative self-efficacy. Second, creative thinking is identified as the most prominent predictor of musical creativity, However, this moderated effect is not significantly by social capital, suggesting that the impact of creative thinking on musical creativity remains relatively stable across varying levels of social capital. Third, musical aesthetic ability is the lowest factor to affect musical creativity, but the relationship between musical aesthetic ability and musical creativity is significantly moderated by social capital, implying that the contribution of aesthetic perception to creativity may vary depending on contextual social capital. Fourth, creative self-efficacy plays a crucial mediating role in the model, confirming that belief in one's own abilities is a key psychological mechanism that transforms social capital, creative thinking and musical aesthetic ability into musical creative.

Overall, the findings of this study deepen the theoretical understanding of musical creativity by emphasizing the central role of creative self-efficacy and uncovering the differential contextual impact of social capital, creativity thinking, musical aesthetic ability. By examining student social capital from a multidimensional perspective and distinguishing between divergent thinking of creativity thinking and convergent judgment of musical aesthetic ability. These insights can provide a reference for developing targeted support programs aimed at creating a supportive musical environment for university students. These results not only provide important theoretical contributions to the field of musical education and creativity research but also offer valuable insights and implications for other domains of creativity-related inquiry and practice.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.

Ethics statement

The studies involving humans were approved by the Ethics Committee of Sichuan University of Culture and Arts (No. 20240062817). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

SB: Writing – original draft, Formal analysis, Project administration, Software. WZ: Software, Writing – original draft, Visualization, Data curation, Investigation. XL: Conceptualization, Writing – review & editing, Methodology, Supervision, Investigation, Funding acquisition.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the China Association for Science and Technology under Grant Number 20230608ZZ10070038.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1585658/full#supplementary-material

References

Amabile, T. (2013). “Componential theory of creativity,” in Encyclopedia of Management Theory, Vol. 2 (SAGE Publications, Ltd.), 135–139. doi: 10.4135/9781452276090.n50

Crossref Full Text | Google Scholar

Amabile, T. M. (1983). The social psychology of creativity: a componential conceptualization. J. Pers. Soc. Psychol. 45:357. doi: 10.1037/0022-3514.45.2.357

Crossref Full Text | Google Scholar

Amabile, T. M. (1988). A model of creativity and innovation in organizations. Res. Organ. Behav. 10, 123–167.

Google Scholar

Amabile, T. M., and Pratt, M. G. (2016). The dynamic componential model of creativity and innovation in organizations: making progress, making meaning. Res. Org. Behav. 36, 157–183. doi: 10.1016/j.riob.2016.10.001

Crossref Full Text | Google Scholar

Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. J. Soc. Clin. Psychol. 4, 359–373. doi: 10.1521/jscp.1986.4.3.359

Crossref Full Text | Google Scholar

Bandura, A. (1997). Self-Efficacy: The Exercise of Control. New York, NY: W.H. Freeman.

Google Scholar

Barrett, M. S., Tafuri, J., McPherson, G. E., and Welch, G. F. (2012). Creative Meaning-Making in Infants' and Young Children's Musical Cultures. Oxford: Oxford University Press. p. 296–331.

Google Scholar

Bashwiner, D. M., Bacon, D. K., Wertz, C. J., Flores, R. A., Chohan, M. O., and Jung, R. E. (2020). Resting state functional connectivity underlying musical creativity. NeuroImage 218, 1–16. doi: 10.1016/j.neuroimage.2020.116940

PubMed Abstract | Crossref Full Text | Google Scholar

Beghetto, R. A., and Kaufman, J. C. (2014). Classroom contexts for creativity. High Abil. Stud. 25, 53–69. doi: 10.1080/13598139.2014.905247

Crossref Full Text | Google Scholar

Bicer, A., Lee, Y., Perihan, C., Capraro, M. M., and Capraro, R. M. (2020). Considering mathematical creative self-efficacy with problem posing as a measure of mathematical creativity. Educ. Stud. Math. 105, 457–485. doi: 10.1007/s10649-020-09995-8

Crossref Full Text | Google Scholar

Brattico, E., Bogert, B., and Jacobsen, T. (2013). Toward a neural chronometry for the aesthetic experience of music. Front. Psychol. 4:206. doi: 10.3389/fpsyg.2013.00206

PubMed Abstract | Crossref Full Text | Google Scholar

Brattico, E., and Varankaite, U. (2019). Aesthetic empowerment through music. Music. Sci. 23, 285–303. doi: 10.1177/1029864919850606

Crossref Full Text | Google Scholar

Burnard, P. (2012). Musical Creativities in Practice. Oxford: Oxford University Press. doi: 10.1093/acprof:oso/9780199583942.001.0001

Crossref Full Text | Google Scholar

Chen, G., Gully, S. M., and Eden, D. (2001). Validation of a new general self-efficacy scale. Organ. Res. Methods 4, 62–83. doi: 10.1177/109442810141004

Crossref Full Text | Google Scholar

Chen, T., Kim, T. Y., Gong, Y., and Liang, Y. (2024). Competence drives interest or vice versa? Untangling the bidirectional relationships between creative self-efficacy and intrinsic motivation for creativity in shaping employee creativity. J. Manag. Stud. 62, 775–811. doi: 10.1111/joms.13072

Crossref Full Text | Google Scholar

Chetty, R., Jackson, M. O., Kuchler, T., Stroebel, J., Hendren, N., Fluegge, R. B., et al. (2022). Social capital I: measurement and associations with economic mobility. Nature 608, 108–121. doi: 10.1038/s41586-022-04996-4

PubMed Abstract | Crossref Full Text | Google Scholar

Chin, T. C., Coutinho, E., Scherer, K. R., and Rickard, N. S. (2018). MUSEBAQ: a modular tool for music research to assess musicianship, musical capacity, music preferences, and motivations for music use. Music. Percept. 35, 376–399. doi: 10.1525/mp.2018.35.3.376

Crossref Full Text | Google Scholar

Chiu, C. M., Hsu, M. H., and Wang, E. T. (2006). Understanding knowledge sharing in virtual communities: an integration of social capital and social cognitive theories. Decis. Support Syst. 42, 1872–1888. doi: 10.1016/j.dss.2006.04.001

Crossref Full Text | Google Scholar

Chow, W. S., and Chan, L. S. (2008). Social network, social trust and shared goals in organizational knowledge sharing. Inf. Manag. 45, 458–465. doi: 10.1016/j.im.2008.06.007

Crossref Full Text | Google Scholar

Clemente, A., Pearce, M. T., and Nadal, M. (2022). Musical aesthetic sensitivity. Psychol. Aesthet. Creat. Arts 16:58. doi: 10.1037/aca0000381

Crossref Full Text | Google Scholar

Coleman, J. S. (1988). Social capital in the creation of human capital. Am. J. Sociol. 94, S95–S120. doi: 10.1086/228943

Crossref Full Text | Google Scholar

Craft, A. (2005). Creativity in Schools: Tensions and Dilemmas. London: Routledge. doi: 10.4324/9780203357965

Crossref Full Text | Google Scholar

Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. New York, NY: Harper & Row.

Google Scholar

Csikszentmihalyi, M., and Robinson, R. E. (1990). The Art of Seeing: An Interpretation of the Aesthetic Encounter. Getty Publications.

Google Scholar

Dan, Y., Wu, C., and Yang, M. (2021). Development and validation of the aesthetic competence scale. Advance. doi: 10.31124/advance.17075180.v1

Crossref Full Text | Google Scholar

Dilekçi, A., and Karatay, H. (2023). The effects of the 21st century skills curriculum on the development of students' creative thinking skills. Think. Skills Creat. 47:101229. doi: 10.1016/j.tsc.2022.101229

Crossref Full Text | Google Scholar

Durnali, M., Orakci, S., and Khalili, T. (2023). Fostering creative thinking skills to burst the effect of emotional intelligence on entrepreneurial skills. Think. Skills Creat. 47:101200. doi: 10.1016/j.tsc.2022.101200

Crossref Full Text | Google Scholar

Farmer, S. M., and Tierney, P. (2017). “Considering creative self-efficacy: its current state and ideas for future inquiry,” in The Creative Self: Effect of Beliefs, Self-efficacy, Mindset, and Identity, eds. M. Karwowski and J. C. Kaufman (Cambridge, MA: Elsevier Academic Press), 23–47.

Google Scholar

Fingerhut, J., Gomez-Lavin, J., Winklmayr, C., and Prinz, J. J. (2021). The aesthetic self. The importance of aesthetic taste in music and art for our perceived identity. Front. Psychol. 11:577703. doi: 10.3389/fpsyg.2020.577703

PubMed Abstract | Crossref Full Text | Google Scholar

Fishbach, A., and Woolley, K. (2022). The structure of intrinsic motivation. Annu. Rev. Organ. Psychol. Organ. Behav. 9, 339–363. doi: 10.1146/annurev-orgpsych-012420-091122

Crossref Full Text | Google Scholar

Fornell, C., and Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: algebra and statistics. J. Mark. Res. 18, 1–22. doi: 10.1177/002224378101800313

Crossref Full Text | Google Scholar

Guilford, J. P. (1967). The Nature of Human Intelligence. New York, NY: McGraw Hill.

Google Scholar

Haase, J., Hoff, E. V., Hanel, P. H., and Innes-Ker, Å. (2018). A meta-analysis of the relation between creative self-efficacy and different creativity measurements. Creat. Res. J. 30, 1–16. doi: 10.1080/10400419.2018.1411436

Crossref Full Text | Google Scholar

Hair, J., Hollingsworth, C. L., Randolph, A. B., and Chong, A. Y. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Ind. Manag. Data Syst. 117, 442–458. doi: 10.1108/IMDS-04-2016-0130

Crossref Full Text | Google Scholar

Hargreaves, D., Miell, D., and MacDonald, R. (Eds.). (2012). Musical Imaginations: Multidisciplinary Perspectives on Creativity, Performance and Perception. Oxford: Oxford University Press.

Google Scholar

Hennessey, B. A., and Amabile, T. M. (2010). Creativity. Annu. Rev. Psychol. 61, 569–598. doi: 10.1146/annurev.psych.093008.100416

PubMed Abstract | Crossref Full Text | Google Scholar

Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43, 115–135. doi: 10.1007/s11747-014-0403-8

Crossref Full Text | Google Scholar

Hickey, M., and Webster, P. (2001). Creative thinking in music. Music Educ. J. 88, 19–23. doi: 10.2307/3399772

Crossref Full Text | Google Scholar

Huang, N. T., Chang, Y. S., and Chou, C. H. (2020). Effects of creative thinking, psychomotor skills, and creative self-efficacy on engineering design creativity. Think. Skills Creat. 37:100695. doi: 10.1016/j.tsc.2020.100695

Crossref Full Text | Google Scholar

Huovinen, E. (2021). Theories of creativity in music: students' theory appraisal and argumentation. Front. Psychol. 12:612739. doi: 10.3389/fpsyg.2021.612739

PubMed Abstract | Crossref Full Text | Google Scholar

Jackson, N., and Shaw, M. (2006). “Developing subject perspectives on creativity in higher education,” in Developing Creativity in Higher Education, eds. N. Jackson, M. Oliver, M. Shaw, and J. Wisdom (London: Routledge), 89–108.

Google Scholar

Jaussi, K. S., Randel, A. E., and Dionne, S. D. (2007). I am, I think I can, and I do: the role of personal identity, self-efficacy, and cross-application of experiences in creativity at work. Creat. Res. J. 19, 247–258. doi: 10.1080/10400410701397339

Crossref Full Text | Google Scholar

Kritsotakis, G., Koutis, A. D., Alegakis, A. K., and Philalithis, A. E. (2008). Development of the social capital questionnaire in Greece. Res. Nurs. Health 31, 217–225. doi: 10.1002/nur.20250

PubMed Abstract | Crossref Full Text | Google Scholar

Kupers, E., Lehmann-Wermser, A., McPherson, G., and Van Geert, P. (2019). Children's creativity: a theoretical framework and systematic review. Rev. Educ. Res. 89, 93–124. doi: 10.3102/0034654318815707

Crossref Full Text | Google Scholar

Kupers, E., and van Dijk, M. (2020). Creativity in interaction: the dynamics of teacher-student interactions during a musical composition task. Think. Skills Creat. 36, 1–12. doi: 10.1016/j.tsc.2020.100648

Crossref Full Text | Google Scholar

Lasky, D., and Yoon, S. (2020). A creative classroom for everyone: an introduction to a small ‘c' creativity framework. Think. Skills Creat. 36, 1–20. doi: 10.1016/j.tsc.2020.100660

Crossref Full Text | Google Scholar

Marquis, E., Radan, K., and Liu, A. (2017). A present absence: undergraduate course outlines and the development of student creativity across disciplines. Teach. High. Educ. 22, 222–238. doi: 10.1080/13562517.2016.1237495

Crossref Full Text | Google Scholar

Nahapiet, J., and Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Acad. Manag. Rev. 23, 242–266. doi: 10.2307/259373

Crossref Full Text | Google Scholar

Odena, O., and Welch, G. (2009). A generative model of teachers' thinking on musical creativity. Psychol. Music 37, 416–442. doi: 10.1177/0305735608100374

Crossref Full Text | Google Scholar

Onyx, J., and Bullen, P. (2000). Measuring social capital in five communities. J. Appl. Behav. Sci. 36, 23–42. doi: 10.1177/0021886300361002

Crossref Full Text | Google Scholar

Osmani, M., El-Haddadeh, R., Hindi, N. M., and Weerakkody, V. (2022). The influence of creativity on the entrepreneurial intention of university female graduates: an SEM approach. Ind. High. Educ. 36, 556–567. doi: 10.1177/09504222211061231

Crossref Full Text | Google Scholar

Ozenc-Ira, G. (2023). Mapping research on musical creativity: a bibliometric review of the literature from 1990 to 2022. Think. Skills Creat. 48:101273. doi: 10.1016/j.tsc.2023.101273

Crossref Full Text | Google Scholar

Özgenel, M., and Çetin, M. (2017). Marmara yaratıcı düşünme eǧilimleri ölçeǧinin geliştirilmesi: Geçerlik ve güvenirlik çalışması. Marmara. Ünv. Atatürk. Eǧitim. Fak. Eǧ. Bil. Derg. 46, 113–132. doi: 10.15285/maruaebd.335087

Crossref Full Text | Google Scholar

Palhares, P. T., Branco, D., and Gonçalves, Ó. F. (2022). Mind wandering and musical creativity in jazz improvisation. Psychol. Music 50, 1212–1224. doi: 10.1177/03057356211033346

Crossref Full Text | Google Scholar

Perez Fernandez, H., Rodriguez Escudero, A. I., Martin Cruz, N., and Delgado Garcia, J. B. (2024). The impact of social capital on entrepreneurial intention and its antecedents: differences between social capital online and offline. BRQ Bus. Res. Q. 27, 365–388. doi: 10.1177/23409444211062228

Crossref Full Text | Google Scholar

Piazza, E. S., and Talbot, B. C. (2021). Creative musical activities in undergraduate music education curricula. J. Music Teach. Educ. 30, 37–50. doi: 10.1177/1057083720948463

Crossref Full Text | Google Scholar

Portes, A. (2024). Social capital: its origins and applications in modern sociology. New Crit. Writ. Polit. Sociol. 2, 53–76. doi: 10.4324/9781003572923-6

Crossref Full Text | Google Scholar

Qiang, R., Han, Q., Guo, Y., Bai, J., and Karwowski, M. (2020). Critical thinking disposition and scientific creativity: the mediating role of creative self-efficacy. J. Creat. Behav. 54, 90–99. doi: 10.1002/jocb.347

Crossref Full Text | Google Scholar

Raikou, N. (2016). Development of critical thinking through aesthetic experience: the case of students of an educational department. J. Transform. Educ. 14, 53–70. doi: 10.1177/1541344615606535

Crossref Full Text | Google Scholar

Sarasso, P., Ronga, I., Neppi-Modona, M., and Sacco, K. (2021). The role of musical aesthetic emotions in social adaptation to the Covid-19 pandemic. Front. Psychol. 12:611639. doi: 10.3389/fpsyg.2021.611639

PubMed Abstract | Crossref Full Text | Google Scholar

Schiavio, A., Moran, N., van der Schyff, D., Biasutti, M., and Parncutt, R. (2022). Processes and experiences of creative cognition in seven Western classical composers. Music. Sci. 26, 303–325. doi: 10.1177/1029864920943931

PubMed Abstract | Crossref Full Text | Google Scholar

Schindler, I., Hosoya, G., Menninghaus, W., Beermann, U., Wagner, V., Eid, M., et al. (2017). Measuring aesthetic emotions: a review of the literature and a new assessment tool. PLoS ONE 12:e0178899. doi: 10.1371/journal.pone.0178899

PubMed Abstract | Crossref Full Text | Google Scholar

Smith, R. L., Karaman, M. A., Balkin, R. S., and Talwar, S. (2020). Psychometric properties and factor analyses of the achievement motivation measure. Br. J. Guid. Couns. 48, 418–429. doi: 10.1080/03069885.2019.1620173

Crossref Full Text | Google Scholar

Sternberg, R. J. (2003). Creative thinking in the classroom. Scand. J. Educ. Res. 47, 325–338.doi: 10.1080/00313830308595

Crossref Full Text | Google Scholar

Sternberg, R. J. (2006). The nature of creativity. Creat. Res. J. 18, 87–98. doi: 10.1207/s15326934crj1801_10

Crossref Full Text | Google Scholar

Sternberg, R. J., and Lubart, T. I. (1999). “The concept of creativity: prospects and paradigms,” in Handbook of Creativity, ed. R. J. Sternberg (Cambridge: Cambridge University Press), 3–15.

Google Scholar

Świa̧tek, A. H., Szcześniak, M., Borkowska, H., Bojdo, W., and Myszak, U. Z. (2023b). Aesthetic experience and the ability to integrate beauty: the mediating effect of spirituality. Psychol. Res. Behav. Manag. 16, 4033–4041. doi: 10.2147/PRBM.S423513

PubMed Abstract | Crossref Full Text | Google Scholar

Świa̧tek, A. H., Szcześniak, M., Wojtkowiak, K., Stempień, M., and Chmiel, M. (2023a). Polish version of the Aesthetic Experience Questionnaire: validation and psychometric characteristics. Front. Psychol. 14:1214928. doi: 10.3389/fpsyg.2023.1214928

PubMed Abstract | Crossref Full Text | Google Scholar

Tierney, P., and Farmer, S. M. (2002). Creative self-efficacy: its potential antecedents and relationship to creative performance. Acad. Manag. J. 45, 1137–1148. doi: 10.2307/3069429

Crossref Full Text | Google Scholar

Torrance, E. P. (1988). “The nature of creativity as manifest in its testing,” in The Nature of Creativity, ed. R. J. Sternberg (Cambridge: Cambridge University Press), 43–75.

Google Scholar

Van den Broeck, A., Ferris, D. L., Chang, C. H., and Rosen, C. C. (2016). A review of self-determination theory's basic psychological needs at work. J. Manag. 42, 1195–1229. doi: 10.1177/014920631663205

Crossref Full Text | Google Scholar

Wahed, W. J. E., Yusoff, S. B. M., Saad, N., and Pitil, P. P. (2021). Systematic literature review of art reception survey (ARS) on aesthetic perception studies and future research directions. Int. J. Acad. Res. Bus. Soc. Sci. 11, 997–1008. doi: 10.6007/IJARBSS/v11-i3/8928

Crossref Full Text | Google Scholar

Webster, P. (1990). Creative thinking. Music Educ. J. 76, 21–37. doi: 10.2307/3401072

Crossref Full Text | Google Scholar

Welch, G. F. (2012). “Musical creativity, biography, genre, and learning,” in Musical Imaginations: Multidisciplinary Perspectives on Creativity, Performance and Perception, eds. D. J. Hargreaves, D. E. Miell, and R. A. R. MacDonald (Oxford: Oxford University Press), 385–398.

Google Scholar

Welch, G. F., and Ockelford, A. (2015). The importance of music in supporting the development of children with learning disabilities. Int. J. Birth Parent. Educ. 2, 21–23. doi: 10.12968/cypn.2015.3.21

Crossref Full Text | Google Scholar

Williams, D. (2006). On and off the 'Net: scales for social capital in an online era. J. Comput.-Mediat. Commun. 11, 593–628. doi: 10.1111/j.1083-6101.2006.00029.x

Crossref Full Text | Google Scholar

Woolcock, M. (2002). “Social capital in theory and practice: where do we stand,” in Social Capital and Economic Development: Well-being in Developing Countries, Vol. 1, 18–39. doi: 10.4337/9781781950388.00011

Crossref Full Text | Google Scholar

Woolcock, M., and Narayan, D. (2000). Social capital: implications for development theory, research and policy. World Bank Res. Obs. 15, 225–249. doi: 10.1093/wbro/15.2.225

Crossref Full Text | Google Scholar

Zeng, G., Fung, S. F., Li, J., Hussain, N., and Yu, P. (2022). Evaluating the psychometric properties and factor structure of the general self-efficacy scale in China. Curr. Psychol. 41, 3970–3980. doi: 10.1007/s12144-020-00924-9

Crossref Full Text | Google Scholar

Zentner, M., Grandjean, D., and Scherer, K. R. (2008). Emotions evoked by the sound of music: characterization, classification, and measurement. Emotion 8, 494–521. doi: 10.1037/1528-3542.8.4.494

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: social capital, creative self-efficacy, musical creativity, musical aesthetic ability, creative thinking

Citation: Ben S, Zheng W and Li X (2025) Multifactorial influences on musical creativity: an integrated perspective on cognitive and social capital factors. Front. Psychol. 16:1585658. doi: 10.3389/fpsyg.2025.1585658

Received: 01 March 2025; Accepted: 21 July 2025;
Published: 12 August 2025.

Edited by:

Luc Nijs, University of Luxembourg, Luxembourg

Reviewed by:

Mark Reybrouck, KU Leuven, Belgium
Trevor Thwaites, University of Auckland, New Zealand

Copyright © 2025 Ben, Zheng and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Wenjun Zheng, emhlbmd3ZW5qdW4wOTEzQGdtYWlsLmNvbQ==; Xu Li, bGl4dUBjcXVwdC5lZHUuY24=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.