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The Mediating Role of Technological Self-Efficacy: Social Media’s Impact on Vocational Students’ Entrepreneurial Outcomes in China

  • Huo Shuguang
  • Hu Sixiao
  • 3499-3513
  • Aug 13, 2025
  • Social Media

The Mediating Role of Technological Self-Efficacy: Social Media’s Impact on Vocational Students’ Entrepreneurial Outcomes in China

Huo Shuguang, Hu Sixiao

Hebei Institute of Communications

DOI: https://dx.doi.org/10.47772/IJRISS.2025.907000282

Received: 04 July 2025; Accepted: 11 July 2025; Published: 13 August 2025

ABSTRACT

This study examines how social media usage influences entrepreneurial outcomes among vocational students in China, with a focus on the mediating role of technological self-efficacy. Grounded in Social Cognitive Theory (SCT), we propose a multidimensional framework integrating social media usage patterns, marketing strategies, and social capital as antecedents, while incorporating emotional behaviour and resource opportunities as parallel mediators. Data from 248 vocational student entrepreneurs actively utilizing social media for business operations were analysed using Structural Equation Modelling (SEM) via AMOS software. Results reveal that social media usage, marketing strategies, and social capital significantly enhance entrepreneurial success both directly and indirectly. Crucially, technological self-efficacy acts as a robust mediator, explaining how social media interactions translate into improved entrepreneurial outcomes. Additionally, entrepreneurship self-efficacy moderates key pathways, amplifying the impact of resource opportunities and emotional behaviour on success. This research bridges theoretical gaps by empirically validating SCT in the context of China’s vocational education sector and offers practical insights for leveraging social media in nurturing digital entrepreneurship.

Keywords: Social media; Vocational Student Entrepreneurship; Technological Self-Efficacy; Entrepreneurial Outcomes; Social Capital; Structural Equation modelling

INTRODUCTION

Social media impact extends far beyond mere alterations in communication patterns. This is particularly true for young entrepreneurs. Recent research highlights a significant shift from traditional shopping to online platforms, with social media playing a crucial role in commerce. Sahut, Iandoli, and Teulon (2019) explore how social media entrepreneurship differs from   traditional   methods, especially   in   utilizing   networks   for   marketing   and understanding online consumer behaviour (Ha & Kim, 2023). Hence, the rise of mobile technology for shopping presents new opportunities for young entrepreneurs.

Among the young entrepreneurs in China, vocational students like use social media in digital entrepreneurship. Because these students poised as the next wave of digital entrepreneurs who sells things online, and are actively leveraging social media platforms to advance their commercial endeavours. According to Giuggioli and Pellegrini (2022) social media is vital for innovation in young Chinese e-commerce entrepreneurs. Elenurm (2022) highlight   its   importance   in   the   success   of   China’s   online   businesses, particularly for vocationally trained entrepreneurs.  Obermayer, Kővári, Leinonen, Bak, and Valeri (2022) emphasize its role in learning and networking for these entrepreneurs.

This shift is particularly relevant for vocational students, who are interested in digital entrepreneurship, potentially reducing unemployment and addressing   workplace   inequality.  Olanrewaju, Hossain, Whiteside, and Mercieca (2020) reveal young entrepreneurs are leveraging social media to attract consumers (social), highlighting its growing importance in digital marketing. Studies like Nam and Xiong (2021) emphasize social media on behavior and trust (emotional) in online reviews

While existing literature extensively explores social media on established enterprises and markets, there remains a notable deficiency in studies focusing on how it shapes the entrepreneurial journey among vocational students (Tang, Omar, Bolong, & Mohd Zawawi, 2021). There exists social science literature regarding how social media impacts vocational students interested in entrepreneurship in terms of emotional regulation, social network construction, interpersonal skills enhancement, and mental health maintenance Wibowo et al. (2023). These students often lack traditional business education background but possess high adaptability to technology and a  spirit of innovation (Sahut et al., 2019) . In   addition to addressing   the   prevalent   issue   of unemployment   among   vocational    students, which presents a vital avenue for these students to explore and learn innovative technological applications across diverse regions (Broekhuizen et al., 2023)

This study investigates how vocational school students utilize the social media for their entrepreneurial endeavours and how it affects their emotional and social behaviour by applying the theory of social cognitive theory (SCT)

LITERATURE REVIEW

Entrepreneurial Success among Young People

In the vocational education context, the correlation between adept utilization of social media and entrepreneurs’ achievements by emerging entrepreneurs is increasingly evident (Sari, Marsakawati, & Herliyani, 2023). This success paradigm is primarily divided into two key elements: firstly, the strategic implementation of social media marketing to cultivate emotional resonance with consumers and simultaneously impact the entrepreneurs’ own emotional well-being; secondly, the strategic accumulation and acquisition resources. Research by Yan (2020) illustrates how tailored social media campaigns elicit specific emotional responses from consumers, thereby enhancing engagement and fostering brand loyalty among young entrepreneurs. Concurrently, these marketing strategies significantly   influence   the    entrepreneurs’   emotional    landscape, boosting   their confidence and inner drive. The dual impact of social media in both emotional and social realms redefines the criteria for entrepreneurial success in the digital age (Belyaeva, 2018). Thus, digital entrepreneurs skilfully use social media for emotional engagement, social network expansion, and resource mobilization is directly linked to their business success, highlighting   the   importance   of   a   deep   understanding   and   proficient application of digital tools in the entrepreneurial process.

Social Media Use

Social media become crucial in companies’ marketing efforts (Han & Zhang, 2022). Rupavijetra, Nilsook, Jitsupa, and Hanwong (2022) research underscores the importance of the frequency and type of content posted on social media in building a brand and increasing market visibility. For instance, a handicraft shop can effectively boost its brand recognition by showcasing its products and their stories on Instagram, echoing analysis of the importance of timely customer interaction in establishing robust customer relationships   and achieving   entrepreneurial   success (Morrison-Smith & Ruiz, 2020). This shows various patterns of usage of social media among young entrepreneurs for their business strategies, which may have a significant positive impact on their entrepreneurial success (Samara & Terzian, 2021).

Young entrepreneurs in the field of vocational education demonstrate strategic thinking in their diversified use of social media, a key factor in their business success (Antoniazzi & Smuts, 2020). Zhang et al. (2021) study reveals that approximately 68% of student entrepreneurs frequently use WeChat for customer interactions, dedicating an average of 2.5 hours daily, which is crucial for establishing long-term customer relationships. report indicates that about 75% of entrepreneurs use TikTok for brand storytelling, spending around 2 hours daily to engage the 18 to 24-year-old consumer demographic, with its visual and creative content being a key factor in attracting this audience (Chen, Li, Lei, & Wang, 2021). Additionally, survey finds that around 65% of entrepreneurs spend about 3 hours weekly on LinkedIn for professional networking and B2B interactions, playing a significant role in fostering business collaborations and industry communication (Obschonka, Zhou, Zhou, Zhang, & Silbereisen, 2018). The use of WeChat, TikTok, and LinkedIn caters to specific business needs — customer relationships, brand visibility, and professional networking, respectively (Xue, 2023).

Social Media Marketing and effect on Emotional behaviour

Emotion  significantly  influences  marketing  strategies  and  overall  business operations on social networking sites, playing a critical role in monitoring brand reputation and tracking customer feedback (Islam, Islam, Mannan, Rahman, & Islam, 2020). Qiu, García-Aracil, and Isusi-Fagoaga (2023) demonstrate that positive engagement with  social media through instant feedback and recognition boosts entrepreneurial motivation and fosters positive emotional  experiences  among  vocational   students.  However,  cautions about the risks of emotional burnout due to continuous exposure to social media,  which  can  negatively   impact  both  motivation   and  emotional  well-being. Additionally, Ghosh, Hughes, Hughes, and Hodgkinson (2021) find that innovative social media strategies not only enhance creativity but also amplify positive emotional engagement in the digital marketplace. These findings suggest a complex interplay between emotion and social media  marketing,  highlighting  the  importance  of  effectively  managing  emotional impacts (Suriyankietkaew & Nimsai, 2021).Therefore, it can be hypothesized that vocational student entrepreneurs who adeptly  balance  these  emotional  aspects  are  more  likely  to  experience  increased success  in  their  digital   entrepreneurship   endeavors,   owing  to   a   strategic   and emotionally intelligent approach to social media usage.

Social Capital and Resources Opportunities

 Dakduk, ter Horst, Santalla, Molina, and Malavé (2017) reveals that active engagement of vocational students on LinkedIn notably improves their social capital, offering access to industry insights. Further  studies by  highlight  that  platforms like  Instagram   and  Facebook  are  instrumental  in  showcasing  student  projects  to  potential  investors, thereby uncovering funding and collaboration opportunities. These findings a strategic asset for gaining essential social capital and resources (Sondakh & Rajah, 2016). Hence, it is hypothesized that vocational students who skillfully use social media for networking, market analysis, and project promotion are likely to have a significant advantage in achieving entrepreneurial success due to enhanced access to valuable social capital and resources.

FRAMEWORK AND HYPOTHESES

Social cognitive theory (SCT)

In 1925, Bandura is certain self-efficacy governs and exerts a substantial influence on human intention. A correlation has been observed between self-efficacy in digital entrepreneurship and the inclination to participate in digital entrepreneurship. An elevated degree of self-efficacy in digital entrepreneurship could potentially bolster an individual’s inclination to participate in entrepreneurial activities, thereby promoting the manifestation of entrepreneurial conduct. Marketing and social media usage are three independent variables that impact self-efficacy.

The conceptual framework proposed by social cognitive theory (SCT) can bring out the social media impact on the entrepreneurial outcomes of vocational students (Erdisna, Ganefri, Ridwan, & Efendi, 2020). This analysis should specifically examine the contributions of emotional Behaviour and opportunities for resource acquisition (Darmawan, Ekopriyono, & Darmanto, 2022). Vocational education   indicates that cognitive and social interactive processes are crucial for cultivating emotional behaviors and recognizing resource opportunities among these students (Bican & Brem, 2020). For those committed to both digital and traditional entrepreneurial avenues, social media is not merely a platform for learning about business models, market strategies, and entrepreneurial skills; it also serves as a vital conduit for establishing network resources and support (Liu et al., 2023). These interactions and resources help to bolster the self-efficacy of vocational students, thereby enhancing the likelihood that they will translate their entrepreneurial intentions into concrete actions.

Social Media Usage, Social Media Marketing, and Social Capital on vocational students aspiring for entrepreneurial success is multifaceted and multidimensional. Firstly, the use and marketing capabilities of social media provide essential market insights and entrepreneurial models, thereby affecting vocational students’ emotional behaviors and perceived resource opportunities. Secondly, the social capital established through social networks offers vital resources and a support network, key components to achieving entrepreneurial success. Emotional Behaviour and Resource Opportunities, as mediating variables, aiding vocational students in translating   their entrepreneurial intentions into concrete actions and ultimately realizing entrepreneurial success.

Conceptual Framework

This framework comprises of independent variables under social cognitive theory (SCT), mediating and dependent variables, which explore social media influence    on    entrepreneurship    success. Resource    opportunities    and    emotional behaviour   are   used   as   mediating   variables. Entrepreneurship   self-efficacy   as a moderating variable. this study proposes a conceptual framework as illustrated in Fig1.1.

Fig 1. 1 The framework of Social Media Influence on Entrepreneurship Success

This framework comprises of independent variables under social cognitive theory (SCT), mediating and dependent variables, which explore social media influence    on    entrepreneurship    success. Resource    opportunities    and    emotional behaviour   are   used   as   mediating   variables. Entrepreneurship   self-efficacy   as a moderating variable.

Hypotheses

Independent Variables

(1) Social media usage

Social media, an amalgamation of hardware and software technologies, facilitates enhanced interaction and information procurement online(Southworth et al., 2023).   It  serves  as  a  pivotal  resource   for  vocational   students  aiming  at entrepreneurial  ventures,  providing  avenues  for  gaining  insights,  networking,  and marketing.   Recognizing   its    influence   on    emotional   behavior    and   access    to resources—crucial   components   of   entrepreneurial    success—social    media   has transformed organizational operations by offering benefits such as increased brand value and innovation(Wu, Yang, & Liu, 2023). Furthermore, these platforms enable novel forms of communication and expedite the acquisition of external knowledge, including customer feedback , thereby leading to the formulation of the following hypothesis:

H1a    Social Media Usage positively influence Entrepreneurship Success .

H2a    Social Media Usage positively influence Emotional Behaviour.

H3a    Social Media Usage positively influence Resources opportunities.

(2)Social Media Strategies

Social media  strategies suite  systematic  initiatives tailored to digital   platforms,   aimed   at   orchestrating   content   generation,   fostering   user engagement,   cultivating   brand   identity,   and   spearheading   marketing   efforts. Indispensable   for  vocational   students  pursuing   entrepreneurial   success,  these strategies augment brand visibility, catalyse network interactions, and distil critical market   insights.   Collectively,   they   facilitate   a   sophisticated   and   efficacious harnessing of social media, propelling professional growth and business innovation in a contemporary digital milieu.

Furthermore, Entrepreneurial success is closely tied to strategic social media use, enhancing visibility and resource access, while also influencing emotional behaviour and opportunities in the digital landscape. The following hypothesis are proposed:

H1b    Social Media Strategies positively influence Entrepreneurship Success.

H2b    Social Media Strategies positively influence Resources opportunities.

H3b    Social Media Strategies positively influence Emotional Behaviour.

Social Capital

Social capital refers to “resources that exist in a social network that actors can access and utilise”. social capital refers to social relationships between individuals with strong ties (e.g. family and close friends).

H1C    Social Capital positively influence Entrepreneurship Success.

H2C    Social Capital positively influences Emotional Behaviour.

H3C    Social Capital positively influences Resources opportunities.

Mediating and Dependent Variables

Entrepreneurship Self-Efficacy

 Self-efficacy provides the basis for a person’s motivation and determines personal achievement. The degree of commitment to an activity. On the other hand, ESE  start and manage a business(Javaid, Haleem, Singh, & Suman, 2022).

H1 Entrepreneurship Self-Efficacy moderates the relationship of Social Media Usage and Social Capital to Entrepreneurship Success.

H2 Entrepreneurship Self-Efficacy moderates the relationship of Social Media Usage and Social Media Strategies.

H3 Entrepreneurship Self-Efficacy moderates the relationship   of Social Media Strategies and Social Capital to Resources opportunities.

Entrepreneurship Success

We utilized three key indicators to assess entrepreneurial success. Firstly, we  examined  entrepreneurial  survival  rate,   signifying  whether  student  entrepreneurs  articipating in the study continued to operate their entrepreneurial ventures   (e.g.,  the  first  year  or  the  initial  three  years).  Secondly,  we  focused on entrepreneurial performance, encompassing aspects such as financial status, sales growth, and market share of the businesses(Suehara Vanity, 2023). Lastly, we investigated customer  satisfaction   and   word-of-mouth    referrals   by    surveying   customers    of   student  entrepreneurs, assessing their satisfaction levels, and evaluating their willingness to  recommend the businesses  to  others (Hechavarría & Ingram, 2018).

METHOD

Design

Social media usage (SMU) Social Media Marketing Strategies (SMMS) directly promote entrepreneurship Success (ES), indirectly through Entrepreneurship Self-Efficacy (ESE) as a mediating variable and also Emotional Behaviour (EB) and resources opportunities (RO) as moderate variables.

Sample and data collection

To ascertain empirical support for the hypotheses posited in the literature, this study incorporated vocational students hailing from universities in Hebei. As a result, 248 vocational students who utilized social media to investigate the digital entrepreneurship process in China comprised the sample population. An online questionnaire was administered to them through the student WeChat application in order to evaluate their attributes and aspirations in the realm of entrepreneurship. As a result, this research was restricted to vocational students who were also young entrepreneurs.

This research harnessed the  capabilities of  SPSS and  AMOS  software  for  a comprehensive  analysis  encompassing  reliability  and  validity  assessments,  path diagnostics,  mediation,  and  moderation  effects.  We commenced with  a  reliability evaluation using Cronbach’s alpha via SPSS.

The study culminated with a meticulous path analysis and mediation effect examination through AMOS, supplemented by an exploration of moderation  effects utilizing the PROCESS macro within SPSS. The participants are  in Table 1.

Table 1. Descriptive statistics of participants

Characteristics Category Frequency (n) Percentage (%)
Gender Female 102 41
Male 146 59
Age Statistics 18–20 years old 211 85
20–22 years old 37 15
Year Class 2021 15 36
2022 13 34
2023 72 178
Parents’ Occupation Entrepreneur 84
Teacher/Lecturer 30
Farmers 55
Civil Servants 79
Subject Management 82 33
Economic Education 112 45
Accounting 54 22

The study’s participants comprised a majority of students from the classes of 2021 (15%), 2022 (13%), and 2023 (0.72%), at the research level. Furthermore, individuals whose parents are entrepreneurs comprised the highest proportion of respondents (33.87%), whereas civil personnel comprised the lowest percentage (31.85%). In addition, the majority of respondents (45%) are economics majors, whereas accounting students comprise the smallest proportion (22%). A summary of the respondents’ demographic characteristics is provided.

Measures

 The measurement items utilized in this investigation were obtained from established studies on a five-point Likert scale. Specifically, social media implemented five elements that were adopted with minor modifications (Ahmad, Ahmad, & Abu Bakar, 2018).To determine social media marketing (SMM), five items were utilized, and to determine social capital (SC), five items were applied (K.H.M.A.R, 2020). Entrepreneurial self-perceived creativity was measured using six items from Li and Zhang (2022), whereas the intention phase was the focus of our research. Social behavior (SB) was assessed using five items that were adopted from and nine items were proposed to measure emotional success (ES).  A five-point Likert scale was utilized to assess each item, with responses extending from “strongly disagree” (1) to “strongly agree” (5).

DATA ANALYSES AND RESULTS

Measurement model results

 We determined that our proposed research model was appropriate through additional testing. In addition, we took into account various factors in order to ascertain the issue of discriminant validity. Each construct’s AVE value must be equal to or greater than 0.50, a satisfactory factor loading value must exceed 0.50, a Cronbach’s alpha value of no less than 0.70 is acceptable, and a CR value of no less than 0.70 is acceptable.Additional validity and reliability results.

Note. *CA= Cronbach’s alpha, CR = composite reliability, AVE = average variance extracted.

Table2 Descriptive statistics, correlation matrix, and discriminant validity of constructs.

Here’s your correlation matrix in a clean table format:

Variables 1 2 3 4 5 6 7
1. Social media usage 0.739
2. Social Media Marketing 0.370** 0.720
3. Social Capital 0.303** 0.394** 0.744
4. Entrepreneurship self-efficacy 0.076 0.150** 0.179** 0.764
5. Resource Opportunities 0.272** 0.294** 0.237** 0.076 0.711
6. Emotional behaviour 0.238** 0.217** 0.279** 0.190** 0.260** 0.709
7. Entrepreneurship Success 0.359** 0.297** 0.389** 0.218** 0.408** 0.392** 0.739

Do you want me to also format this as a proper APA-style correlation table with means, SDs, and bold diagonal values?

Note. * Bold values on the diagonal are the square roots of the AVE, shared between the  constructs  and  their  respective  measures.   Off-diagonal   elements  below   the diagonal  are  correlations  among  the  constructs.  Off-diagonal  elements  above  the diagonal are the HTMT ratios of correlations and their respective confidence intervals at 95%.

The relationships among variables are discernible from Table 3. Significantly, the Pearson  correlation coefficients  reveal  that  Social  Media  Usage,  Social  Media Marketing,  and  Social  Capital  are  positively  and  significantly  related  to  Resource Opportunities. These variables also significantly correlate with Emotional Behaviour. Furthermore, it is evident that Social Media Usage, Social Media Marketing, Social Capital,   Resource   Opportunities,   and   Emotional   Behaviour   all   positively   and significantly contribute to Entrepreneurship Success.

Hypothesis testing results

Using AMOS software, the study built three parallel mediation models to testthe relationships between variables

Tabel 3    SEM Analysis Results Model 1

Path Std. Coeff. Coeff. S.E. Z (C.R.) P
Social media usage → Resource Opportunities 0.329 0.314 0.189 4.771 <0.01
Social media usage → Emotional behaviour 0.298 0.301 0.167 4.270 <0.01
Resource Opportunities → Entrepreneurship Success 0.333 0.347 0.209 4.767 <0.01
Emotional behaviour → Entrepreneurship Success 0.336 0.331 0.215 4.774 <0.01
Social media usage → Entrepreneurship Success 0.256 0.255 0.131 3.656 <0.01

Table 3 reveals significant relationships between key variables.  Social Media Usage positively influences Resource Opportunities (standardized path coefficient = 0.329, Z = 4.771, p < 0.01) and Emotional Behaviour (standardized path coefficient = 0.298, Z = 4.270, p < 0.01). Additionally, Resource Opportunities (standardized path coefficient = 0.333, Z = 4.767, p < 0.01) and Emotional Behaviour (standardized path coefficient  =   0.336,  Z   =  4.774, p   < 0.01) both   significantly positively   impact Entrepreneurship Success.Table 5 demonstrates   significant   mediation   effects:    Social   Media   Usage influences Entrepreneurship Success through Resource Opportunities (mediator effect = 0.110, 95% CI: 0.061 to 0. 177) and Emotional Behaviour (mediator effect = 0.100,95%  CI:  0.054 to  0. 163),  both  excluding  0,  indicating  partial  mediation  with significant direct effects as well.

Table4    Mediation Analysis Model 1

Path a*b P 95% CI Lower Limit 95% CI Upper Limit
Social media usage → Resource Opportunities → Entrepreneurship Success 0.110 <0.01 0.061 0.177
Social media usage → Emotional behaviour → Entrepreneurship Success 0.100 <0.01 0.054 0.163
Direct Effect 0.256 <0.01 0.130 0.381
Total Effect 0.466 <0.01 0.340 0.575

Table 5    SEM Analysis Results Model 2

Path Std. Coeff. Coeff. S.E. Z (C.R.) P
Social Media Marketing → Resource Opportunities 0.372 0.341 0.066 5.197 ***
Social Media Marketing → Emotional behaviour 0.291 0.285 0.070 4.069 ***
Resource Opportunities → Entrepreneurship Success 0.347 0.368 0.077 4.750 ***
Emotional behaviour → Entrepreneurship Success 0.360 0.357 0.072 4.977 ***
Social Media Marketing → Entrepreneurship Success 0.168 0.163 0.071 2.310 0.021

Table  5  reveals  that   Social  Media  Marketing  significantly  positively  affects Resource Opportunities (standardized path coefficient = 0.372, Z = 5.197, p < 0.01) and Emotional Behaviour (standardized path coefficient = 0.291, Z = 4.069, p < 0.01).It also shows that Resource Opportunities (standardized path coefficient = 0.347, Z = 4.750, p < 0.01) and Emotional Behaviour (standardized path coefficient = 0.360, Z =4.977, p < 0.01) have significant positive impacts on Entrepreneurship Success.

Table6    Mediation Analysis Model 2

Path a*b P 95% CI Lower Limit 95% CI Upper Limit
Social Media Marketing → Resource Opportunities → Entrepreneurship Success 0.129 <0.01 0.076 0.206
Social Media Marketing → Emotional behaviour → Entrepreneurship Success 0.105 <0.01 0.053 0.175
Direct Effect 0.168 0.028 0.017 0.306
Total Effect 0.402 <0.01 0.261 0.526

Table 6 shows that Social Media Marketing’s impact on Entrepreneurship

Success via Resource Opportunities has a significant mediating effect (mediator effect = 0.129, 95% CI: 0.076 to 0.206) and through Emotional Behaviour (mediator effect = 0.105, 95% CI: 0.053 to 0. 175), with both confidence intervals excluding 0. The presence of significant direct effects indicates partial mediation in both pathways.

Table 7    SEM Analysis Results Model 3

Path Std. Coeff. Coeff. S.E. Z (C.R.) P
Social Capital → Resource Opportunities 0.298 0.25 0.06 4.309 ***
Social Capital → Emotional behaviour 0.355 0.318 0.07 4.989 ***
Resource Opportunities → Entrepreneurship Success 0.337 0.359 0.073 4.911 ***
Emotional behaviour → Entrepreneurship Success 0.307 0.306 0.07 4.355 ***
Social Media Marketing → Entrepreneurship Success 0.288 0.258 0.072 4.002 ***

Table 7 indicates that Social Capital significantly positively affects Resource. Opportunities (standardized path coefficient = 0.298,  Z  = 4.309,  p  < 0.01) and Emotional Behaviour (standardized path coefficient = 0.355, Z = 4.989, p < 0.01). It also shows that Resource Opportunities (standardized path coefficient = 0.337, Z = 4.911, p < 0.01) and Emotional Behaviour (standardized path coefficient = 0.307, Z =4.355, p < 0.01) significantly positively impact Entrepreneurship Success.

Path a*b P 95% CI Lower Limit 95% CI Upper Limit
Social Capital → Resource Opportunities → Entrepreneurship Success 0.1 <0.01 0.053 0.164
Social Capital → Emotional behaviour → Entrepreneurship Success 0.109 <0.01 0.061 0.177
Direct Effect 0.288 <0.01 0.164 0.405
Total Effect 0.498 <0.01 0.386 0.596

Table 8    Mediation Analysis Model 3

Table 8 reveals that Social Capital’s mediating effect via Resource. Opportunities on Entrepreneurship Success is significant (mediator effect = 0.100, 95% CI: 0.053 to 0. 164), and through Emotional Behaviour (mediator effect = 0.109, 95% CI: 0.061 to 0. 177), with both confidence intervals excluding 0. The presence of significant direct effects suggests that the type of mediation is partial for both pathways.

Tabel9    SEM Analysis Results Model 3

Path Std. Coeff. Coeff. S.E. Z (C.R.) P
Social cognition → Resources Opportunities 0.514 0.795 0.15 0.294 **
Social cognition → Emotional behaviour 0.487 0.807 0.158 0.093 **
Social cognition → Entrepreneurship Success 0.492 0.806 0.201 0.021 **
Resources Opportunities → Entrepreneurship Success 0.186 0.203 0.197 0.083 0.009
Emotional behaviour → Entrepreneurship Success 0.364 0.602 0.018 0.009

Table 9 illustrates that the second-order variable Social Cognition significantly influences the parallel mediation model’s pathways. The standardized path coefficient from “Social Cognition to Resources Opportunities” is 0.514, significant at P<0.05,  indicating a substantial positive effect. Similarly, the path from “Social Cognition to Emotional Behaviour” has a coefficient of 0.487, significant at P<0.05, denoting a significant positive influence.  The pathway “Social Cognition to Entrepreneurship Success” also shows a significant positive impact with a coefficient of 0.492 at P<0.05. Moreover, the paths from “Resources Opportunities to Entrepreneurship Success”.

 Through the PROCESS plug-in of spas software, the test of regulation is tested to investigate the regulatory effect of Entrepreneurship self-efficacy variables on the relevant path in the model. The criterion of the regulatory effect is the significance of the interaction, and the specific situation can be seen as Table10.

Moderation Analysis

Model β SE t p
Social media usage * Entrepreneurship self-efficacy → Entrepreneurship Success 0.313 0.065 4.798 0.000**
Social media usage * Entrepreneurship self-efficacy → Resource Opportunities 0.239 0.063 3.787 0.000**
Social Media Marketing * Entrepreneurship self-efficacy → Resource Opportunities 0.238 0.062 3.809 0.000**
Social Media Marketing * Entrepreneurship self-efficacy → Emotional behaviour 0.195 0.064 3.047 0.003**
Social Capital * Entrepreneurship self-efficacy → Resource Opportunities 0.173 0.058 2.975 0.003**
Resource Opportunities * Entrepreneurship self-efficacy → Entrepreneurship Success 0.3 0.065 4.602 0.000**
Emotional behaviour * Entrepreneurship self-efficacy → Entrepreneurship Success 0.273 0.065 4.189 0.000**

Entrepreneurship   Self-Efficacy   significantly   moderates    several    paths:   its interaction with Social Media Usage shows a notable effect on Resource Opportunities ( β =0.239,  P<0.05);  with  Social  Media  Marketing,  it  significantly  moderates  the impact on both Resource Opportunities (β=0.238, P<0.05) and Emotional Behaviour ( β =0.195, P<0.05); and with Social Capital, it significantly alters the influence on Resource Opportunities ( β=0.173, P<0.05). Additionally, it significantly moderates the effects of Resource Opportunities ( β=0.300, P<0.05) and Emotional Behaviour (  β =0.273,   P<0.05)   on   Entrepreneurship    Success.   Overall, Entrepreneurship Self-Efficacy consistently demonstrates a significant moderating effect across various pathways, underscoring its pivotal role.

DISCUSSION

This study was focusing on social media usage, social media marketing, social capital, emotional behaviour and resources opportunities. By constructing   a second-order variable model for the independent variables, the study examines the mediating model pathways of the second-order variable SC.

Research implications

Economic implications

The research study’s findings additionally facilitated the recognition of educational implications. Our study reveals a noteworthy positive correlation between the emotional behaviour and resource opportunities of vocational students. This underscores the potential for developing diverse media platforms that possess the ability to captivate consumers and foster confidence. Entrepreneurs who are vocational students may utilize the platform to circumvent a number of startup expenses. The study indicates that SMU/SMM/SC/RO/ESE/EB have a significant positive correlation with ES. Businesses may assess the practicality and simplicity of utilizing particular products so that consumers can derive pleasure from ingesting them effortlessly. Certain industries, such as the cosmetics and beauty accessory, apparel, and fashion product sectors, have distinct concerns regarding usage and consumer trust.

A purchaser may place greater confidence in a student entrepreneur as opposed to an unidentified vendor or a generic online platform. Utilizing social media as a marketplace, the majority of vendors are individuals operating within a recognized network. This could potentially account for the observed significant positive correlation among SMU, SMM, and SC in our study. Student entrepreneurs can accelerate the business process and demonstrate their interest by utilizing social media platforms. Students can gain market exposure as vendors in this manner, typically through the use of social media platforms and a shared brand name, photographs, logos, certifications, videos, accomplishments, and so forth. This may not be suitable for all sectors, it may present new opportunities for buyers and vendors in the food, cosmetics, fashion, and apparel industries, among others. As a result, youthful entrepreneurs are afforded the chance to establish intimate relationships with stakeholders, including wholesalers, suppliers, and other intermediaries. By doing so, all stakeholders associated with the business channel can derive advantages, as “generating revenue and delivering value to customers are the foundations of any business model.”

Theoretical implications

The research investigated determinants of entrepreneurial success through an exhaustive literature review. Furthermore, a novel application of social cognition theory was observed in the context of entrepreneurial success analysis. The majority of prior research has applied social cognition theory. Nevertheless, this study employed a comprehensive literature review to investigate entrepreneurship success across social media platforms in general.  It is evident that youthful individuals possess a promising future when it comes to establishing their own enterprises utilizing cutting-edge, technology that demands minimal capital outlay. Social cognition and statistical analysis via SEM, where unemployment is severe, and that it might significantly alter their lives. In general, the research findings indicate that the constructs under investigation exert a substantial influence and impact on entrepreneurial development and social media. A robust positive correlation was identified by the model among SMU and ES, SMM and ES, SC and ES, and RO and ESE. Consequently, the research provides support for active engagement on account of the convenience, practicality, hedonic benefit, and social impact that inspire individuals, particularly vocational students, who are preoccupied with or concerned about their prospective professions.

CONCLUSION

This study explores the impact of social media usage on entrepreneurial outcomes among vocational students in China, focusing on the mediating role of technological self-efficacy. Grounded in Social Cognitive Theory (SCT), a multidimensional framework was developed, integrating social media usage, marketing strategies, and social capital as key antecedents, with emotional behaviour and resource opportunities as parallel mediators. Data from 248 vocational student entrepreneurs were analysed using Structural Equation Modelling (SEM). Results show that social media usage, marketing strategies, and social capital significantly influence entrepreneurial success both directly and indirectly. Technological self-efficacy plays a critical mediating role, while entrepreneurship self-efficacy moderates key pathways, enhancing the impact of resource opportunities and emotional behaviour. Emotional behaviour and resource opportunities also mediate the relationship between social media variables and success. These findings contribute to digital entrepreneurship theory and offer practical insights. The study recommends integrating social media literacy and digital marketing into vocational curricula, fostering technological self-efficacy through experiential learning, supporting networking platforms, and promoting emotional well-being in training programs. In conclusion, vocational students in China can achieve entrepreneurial success by leveraging social media platforms. Cost-effective tools like mobile devices and 4G internet provide a scalable path to entrepreneurship. This study provides empirical evidence that social media empowers vocational students to thrive in the digital economy.

LIMITATIONS AND DIRECTIONS FOR FURTHER RESEARCH

There are certain limitations to the investigation. While the literature review examined the opportunity as a whole, the statistical methodology was limited to vocational students. Furthermore, the research was cantered on a specific geographical area in China in order to gather data. The research employed a rudimentary conceptual framework of social capital, which could potentially be expanded upon for future inquiries. The age and gender subsets that comprised the focus of our study could be expanded to a broader demographic through the application of big data to future research. This research was limited to China, where effective online shopping platforms already exist, thereby facilitating the formation of new businesses by young entrepreneurs. Further research in this area could be beneficial for the body of knowledge by incorporating regional variations and utilizing larger sample sizes, such as national samples.

REFERENCE

  1. Ahmad, S. Z., Ahmad, N., & Abu Bakar, A. R. (2018). Reflections of entrepreneurs of small and medium-sized enterprises concerning the adoption of social media and its impact on performance outcomes: Evidence from the UAE. Telematics and Informatics, 35(1), 6-17. doi: 10.1016/j.tele.2017.09.006
  2. Antonizzi, J., & Smuts, H. (2020). The Characteristics of Digital Entrepreneurship and Digital Transformation: A Systematic Literature Review. In Responsible Design, Implementation and Use of Information and Communication Technology (pp. 239-251).
  3. Belyaeva, Z. (2018). Business Environment Challenges and Trends for Contemporary SMEs in Europe. In The Sustainable Marketing Concept in European SMEs (pp. 13-28).
  4. Bican, P. M., & Brem, A. (2020). Digital Business Model, Digital Transformation, Digital Entrepreneurship: Is There A Sustainable “Digital”? Sustainability, 12(13). doi:10.3390/su12135239
  5. Broekhuizen, T., Dekker, H., de Faria, P., Firk, S., Nguyen, D. K., & Sofka, W. (2023). AI for managing open innovation: Opportunities, challenges, and a research agenda. Journal of Business Research, 167. doi:10.1016/j.jbusres.2023.114196
  6. Chen, S., Li, Q., Lei, B., & Wang, N. (2021). Configurational Analysis of the Driving Paths of Chinese Digital Economy Based on the Technology–Organization–Environment Framework. SAGE Open, 11(4). doi:10.1177/21582440211054500
  7. Dakduk, S., ter Horst, E., Santalla, Z., Molina, G., & Malavé, J. (2017). Customer Behaviour in Electronic Commerce: A Bayesian Approach. Journal of Theoretical and Applied Electronic Commerce Research, 12(2), 1-20. doi:10.4067/s0718-18762017000200002
  8. Darmawan, D., Ekopriyono, A., & Darmanto, S. (2022). Developing Student’s Nascent Digital Entrepreneurial Model. Global Business Finance Review, 27(6), 52-68. doi:10.17549/gbfr.2022.27.6.52
  9. Elenurm, T. (2022). Training business students to use online networking for self‐development. International Journal of Training and Development, 26(3), 516-530. doi:10.1111/ijtd.12269
  10. Erdisna, Ganefri, Ridwan, & Efendi, R. (2020). Developing of Entrepreneur Digitals Learning Model in the Industrial Revolution 4.0 to Improve 21st Century skills. International Journal of Engineering and Advanced Technology, 9(3), 143-151. doi:10.35940/ijeat.C5005.029320
  11. Fang, Y.-S., & Fang, L.-C. (2022). A Review of Chinese E-Commerce Research: 2001-2020. IEEE Access.
  12. Ghosh, S., Hughes, M., Hughes, P., & Hodgkinson, I. (2021). Corporate Digital Entrepreneurship: Leveraging Industrial Internet of Things and Emerging Technologies. In Digital Entrepreneurship (pp. 183-207).
  13. Giuggioli, G., & Pellegrini, M. M. (2022). Artificial intelligence as an enabler for entrepreneurs: a systematic literature review and an agenda for future research. International Journal of Entrepreneurial Behaviour & Research, 29(4), 816-837. doi:10.1108/ijebr-05-2021-0426
  14. Ha, S., & Kim, S. (2023). Developing a conceptual framework for digital platform literacy. Telecommunications Policy. doi:10.1016/j.telpol.2023.102682
  15. Han, X., & Zhang, J. (2022). Business Model Innovation Paths of Manufacturing Oriented towards Green Development in Digital Economy. Int J Environ Res Public Health, 19(24). doi:10.3390/ijerph192416454
  16. Hechavarría, D. M., & Ingram, A. E. (2018). Entrepreneurial ecosystem conditions and gendered national-level entrepreneurial activity: a 14-year panel study of GEM. Small Business Economics, 53(2), 431-458. doi:10.1007/s11187-018-9994-7
  17. Islam, S., Islam, R., Mannan, F., Rahman, S., & Islam, T. (2020). COVID-19 pandemic: An analysis of the healthcare, social and economic challenges in Bangladesh. Prog Disaster Sci, 8, 100135. doi:10.1016/j.pdisas.2020.100135
  18. Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2022). Enhancing smart farming through the applications of Agriculture 4.0 technologies. International Journal of Intelligent Networks, 3, 150-164. doi:10.1016/j.ijin.2022.09.004
  19. H.M.A.R, K. (2020). Progression of Theory of Entrepreneurial Marketing (Em). International Journal of Engineering Technologies and Management Research, 5(5), 41-57. doi:10.29121/ijetmr.v5.i5.2018.225
  20. Li, B., & Zhang, S. (2022). Research on the development path of China’s digital trade under the background of the digital economy. Journal of Internet and Digital Economics, 2(1), 1-14. doi:10.1108/jide-10-2021-0010
  21. Liu, C.-H., Horng, J.-S., Chou, S.-F., Yu, T.-Y., Lee, M.-T., & Lapuz, M. C. B. (2023). Digital capability, digital learning, and sustainable behaviour among university students in Taiwan: A comparison design of integrated mediation-moderation models. The International Journal of Management Education, 21(3). doi:10.1016/j.ijme.2023.100835
  22. Morrison-Smith, S., & Ruiz, J. (2020). Challenges and barriers in virtual teams: a literature review. SN Applied Sciences, 2(6). doi:10.1007/s42452-020-2801-5
  23. Nam, E., & Xiong, P. (2021). How Does Social Media Influence College Students to Recognize Entrepreneurial Opportunities? – Evidence from China. Studies in Media and Communication, 9(2). doi:10.11114/smc.v9i2.5405
  24. Obermayer, N., Kővári, E., Leinonen, J., Bak, G., & Valeri, M. (2022). How social media practices shape family business performance: The wine industry case study. European Management Journal, 40(3), 360-371. doi:10.1016/j.emj.2021.08.003
  25. Obschonka, M., Zhou, M., Zhou, Y., Zhang, J., & Silbereisen, R. K. (2018). “Confucian” traits, entrepreneurial personality, and entrepreneurship in China: a regional analysis. Small Business Economics, 53(4), 961-979. doi:10.1007/s11187-018-0103-8
  26. Olanrewaju, A.-S. T., Hossain, M. A., Whiteside, N., & Mercieca, P. (2020). Social media and entrepreneurship research: A literature review. International Journal of Information Management, 50, 90-110. doi:10.1016/j.ijinfomgt.2019.05.011
  27. Qiu, Y., García-Aracil, A., & Isusi-Fagoaga, R. (2023). Critical Issues and Trends in Innovation and Entrepreneurship Education in Higher Education in the Post-COVID-19 Era in China and Spain. Education Sciences, 13(4). doi:10.3390/educsci13040407
  28. Rupavijetra, P., Nilsook, P., Jitsupa, J., & Hanning, U. (2022). Career Skills and Entrepreneurship for Students by Collaborative Project-Based Learning Management Model. Journal of Education and Learning, 11(6). doi:10.5539/jel.v11n6p48
  29. Sahut, J.-M., Iandoli, L., & Teulon, F. (2019). The age of digital entrepreneurship. Small Business Economics, 56(3), 1159-1169. doi:10.1007/s11187-019-00260-8
  30. Samara, G., & Terzian, J. (2021). Challenges and Opportunities for Digital Entrepreneurship in Developing Countries. In Digital Entrepreneurship (pp. 283-302).
  31. Sari, R. A., Marsakawati, N. P. E., & Herliyani, E. (2023). Assessing Digital Literacy Skills of Vocational Study Program Students. In Proceedings of the 2nd International Conference on Languages and Arts across Cultures (ICLAAC 2022) (pp. 60-72).
  32. Sondakh, D. F., & Rajah, K. K. (2016). Developing an Entrepreneurship Culture. The International Journal of Entrepreneurship and Innovation, 7(4), 231-241. doi:10.5367/000000006779111611
  33. Southworth, J., Migliaccio, K., Glover, J., Glover, J. N., Reed, D., McCarty, C., . . . Thomas, A. (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4. doi:10.1016/j.caeai.2023.100127
  34. Suehara Vanity, M. B. (2023). Entrepreneurial Abilities and Attitude of Business Students as Determinants of their Interest in Starting a Business. International Journal of Engineering and Management Research, 13(1), 12-34. doi:10.31033/ijemr.13.1.3
  35. Suriyankietkaew, S., & Nimsai, S. (2021). COVID-19 Impacts and Sustainability Strategies for Regional Recovery in Southeast Asia: Challenges and Opportunities. Sustainability, 13(16). doi:10.3390/su13168907
  36. Tang, L., Omar, S. Z., Bolong, J., & Mohd Zawawi, J. W. (2021). Social Media Use Among Young People in China: A Systematic Literature Review. SAGE Open, 11(2). doi:10.1177/21582440211016421
  37. Wibowo, A., Narmaditya, B. S., Suparno, Sebayang, K. D. A., Mukhtar, S., & Shafiai, M. H. M. (2023). How does digital entrepreneurship education promote entrepreneurial intention? The role of social media and entrepreneurial intuition. Social Sciences & Humanities Open, 8(1). doi:10.1016/j.ssaho.2023.100681
  38. Wu, Y., Yang, S., & Liu, D. (2023). The effect of social media influencer marketing on sustainable food purchase: Perspectives from multi-group SEM and ANN analysis. Journal of Cleaner Production, 416. doi:10.1016/j.jclepro.2023.137890
  39. Xue, E. (2023). Coordinated Education Development Policy in China: Insight from the Beijing-Tianjin-Hebei Region: Springer Nature.
  40. Yan, D. (2020). Analysis of the Policy Text of Entrepreneurship Education in Chinese Colleges and Universities (1998-2019). Open Journal of Social Sciences, 08(07), 218-231. doi:10.4236/jss.2020.87018
  41. Zhang, Y., Wu, T., Arkema, K. K., Han, B., Lu, F., Ruckelshaus, M., & Ouyang, Z. (2021). Coastal vulnerability to climate change in China’s Bohai Economic Rim. Environ Int, 147, 106359. doi:10.1016/j.envint.2020.106359

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