Back to Journals » Psychology Research and Behavior Management » Volume 16

Exploring the Nexus of Emotional Intelligence and University Performance: An Investigation Through Perceived Organizational Support and Innovative Work Behavior

Authors Shafait Z , Huang J

Received 20 May 2023

Accepted for publication 2 August 2023

Published 24 October 2023 Volume 2023:16 Pages 4295—4313

DOI https://doi.org/10.2147/PRBM.S422194

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Professor Mei-Chun Cheung



Zahid Shafait, Jiayu Huang

College of Teacher Education, Zhejiang Normal University, Jinhua, 321004, People’s Republic of China

Correspondence: Zahid Shafait; Jiayu Huang, Email [email protected]; [email protected]

Purpose: This study is based on the ability-based theory of emotional intelligence (EI), organizational support theory, and componential theory of creativity. This study intended to investigate organizational performance (OP) against academics’ EI in higher education institutions (HEIs) in China. This study further scrutinized perceived organizational support (POS) and innovative work behavior (IWB) as mediators among these associations. Similarly, the inter-link between POS and IWB was investigated.
Design/methodology/Approach: Chinese HEIs academicians (327) were examined using quantitative and cross-sectional research methods. Likewise, PLS-SEM, that is, partial least squares structural equation modeling, was used as a data analysis method to examine assumed relationships statistically.
Findings: The extracted findings established the anticipated relationships, and the results validated that EI had a direct and positive association with OP in HEIs. Similarly, the findings revealed that IWB partially mediated the association between EI and OP; however, full mediation was observed in the case of POS.
Practical Implications: This study emphasizes the importance of unindustrialised glamorous blend of EI and OP in HEIs. In addition, the findings asserted that HEIs staff evaluate and control high-voltage circumstances that assure an effectual valuation and supervision of the self and others’ emotions. Equally, EI amplifies POS, which flares up the IWB while enriching OP in HEIs.
Originality/Value: This study examined OP alongside academicians’ EI in HEIs, which is among the initial pieces of research on HEIs. Additionally, the wholesome research nexus that scrutinizes POS and IWB as an inter-link between EI and OP in HEIs is original.

Keywords: organizational performance, emotional intelligence, perceived organizational support, innovative work behavior, higher education institutions

Introduction

Higher education institutions (HEIs) share the same agenda with interactive people directed at adaptation, flexibility, change and success.1,2 In modern psychology, HEIs need emotional intelligence (EI). “EI is the ability to perceive emotions, to access and generate emotions so as to assist thought, to understand emotions and emotional knowledge, and to reflectively regulate emotions so as to promote emotional and intellectual growth”.3 Hence, HEIs aim for their routine activities to achieve more with less which results in competitive advantage and enhanced organizational performance (OP).4 Chinese HEIs are making efforts to introduce EI and, at the same time, try to educate and train their personnel to attain better individuals for enhanced OP. However, Chinese HEIs lack disciplined strategies and/or policies to introduce and implement EI in their immediate workforce. Therefore, it is necessary to spend time to educate employees in relation to EI and composure, which brings stability in personal stature and performance, along with improved OP.

Therefore, a thorough investigation is required regarding EI in Chinese HEIs.1 Furthermore, recent research argues the prominence of EI as a predictor in vital areas like academic environment, job performance, negotiation, leadership, emotional labor, trust, work–family conflict, and stress,1,5 but limited literature is found regarding EI in HEIs overall and specifically in China.1 It is further revealed that personnel in organizations praise EI in their immediate relations, including bosses, which helps them to have positive relations with colleagues. This process, in turn, assists personnel in working tirelessly to enhance OP.6,7 Hence, EI positively reshapes employee performance positively.8 Similarly, EI as an ability is a vital predictor of work-related outcomes, while cognitive intelligence is the single best predictor of a job and OP.9,10 OP is explained as “comparing the expected results with the actual ones, investigating deviations from plans, assessing individual performance, and examining progress made towards meeting the targeted objectives”.11 However, the phenomenon that enhances employees’ performance and OP through EI was presented insufficiently in research. Emotionally intelligent personnel explore opportunities out of every challenge, hence proving themselves instrumental for OP while avoiding negative outcomes for individuals and Ops.5 Therefore, it can be argued that EI is concerned with personnel performance, which ultimately directs them towards OP as a whole.12 Furthermore, in recent time several organizations including HEIs included EI in their employee development program checklists,1,5 hence, assuring the idea that OP is not only dependent on verbal and practical expertise but also traits concerning emotions. In China, personnel in HEIs are neglected regarding their emotions, which most often shape their energy for OP. This study attempts to fill this research gap.

Perceived organizational support (POS) emphasizes personnel’s “general belief that their work organization values their contributions and cares about their well-being”.13 Similarly, POS in organizations is seen as a factor that “may be used by employees as an indicator of the organization’s benevolent or malevolent intent in the expression of exchange of employee effort for reward and recognition”.14 Research has argued that organizational support is a motivational gesture that relieves stress and enhances the emotional pledge of employees for organizations.3,13 Therefore, it is postulated that whenever personnel observe and receive enhanced organizational support, they wholeheartedly contribute to organizational goals that guarantee superior OP.14 POS, as per the organizational support theory, seeks emotional comprehension, out-loud recognition, appreciation, and endorsement.15 Further, it is described that once employees perceive organizational support, they tend to engage in affirmative emotional connections within themselves.16 Similarly, POS is believed to be a trade-off norm, in which personnel develop emotional attachments when they receive compassionate and optimistic esteem.17 Hence, after developing emotional attachment towards organizations, personnel perceive it as their obligation to think of their organizations and come across organizational goals efficiently.18 Similarly, Cullen, Edwards (19) argued that POS improves OP when circulated across the functional layers of an organization.19 Additionally, Performance studies exactly 20 on POS argued for a highly significant statistical relationship between POS and OP.13 The working milieu of an organization often irritates personnel, and their rejoinders differ emotionally depending on the support they receive from the organization.15 Further, it is argued that POS mitigates the stress of emotional labor with respect to the hassles put forth by organizations.17 Studies have argued that there is a direct positive relationship between POS and OP.18,20 Likewise, literature argued, through meta-analysis, that POS positively correlates with overall performance.13 Moreover, it is suggested that when employees feel supported, they understand the meaning of their work and enjoy autonomy, which improves individual cumulus OP.21

Innovative work behavior (IWB) is defined as an individual’s behavior that realizes commencement and planned introduction, whether within a work role, group, or organization of novel and valuable concepts, procedures, products, or processes.22 Nonetheless, there is a paucity of research on methods to develop and boost personnel creativity and at the same time whether creativity can enhance OP, especially in educational institutions.1,23,24 It is argued that EI is a valuable success factor in the workplace that gradually improves individuals’ performance and OP.25,26 Hence, since the inception of the EI concept, researchers have investigated EI using different organizational factors. Nevertheless, researchers have neglected IWB against EI in organizations. For this reason it is emphasized through literature to investigate the association amongst EI and IWB.1,26 Hence, it is necessary to explore the relationship between EI and IWB in HEIs because the literature is almost silent in this regard. It is argued that innovative personnel outperform their previous working standards, thus boosting OP.27 Support, whether intrinsic or extrinsic in nature, enhances employees’ creativity and IWB,1 which, in turn, contributes to overall OP. Furthermore, over the last two decades, research has comprehensively argued that IWB is key to organizational success and performance.1,28 Further, it is argued that personnel EI positively influence creative performance and IWB.29,30 IWB accelerates when subordinates’ emotions are well understood and led well.31 A dynamic environment demands that an organization be dynamic in terms of innovative employee behavior with underlying traits of developing, adopting, and implementing new ideas.32,33

POS and work-related attitudes are familiar to each other, as a positive relationship has been proven.34 Organizations concerned with innovativeness back the creation and implementation of new ideas.1 POS for innovative work is instrumental to employees’ creative performance.35 Supportive milieus further works like energy boosters to direct employees’ behavior toward creative performance.1 Employees enjoy unrestricted assignments, and if they feel supported, they try to reimburse highly supported treatment.36 At the individual level, POS is positively related to workplace performance.13 POS is used as mediation in literature,37 likewise IWB is also examined as mediator in literature in HEIs1 further, the mentioned studies extracted positive results in relation with mediation analysis. This study intends to respond to the underlying research questions in relation to HEIs academicians;

Research query: Does academicians’ EI significantly impact the OP of Chinese HEIs?

Research query: Does academicians’ EI have a significant impact on their POS in Chinese HEIs?

Research query: Does academicians’ EI have a significant impact on their IWB in Chinese HEIs?

Research query: Does POS significantly affect OP in Chinese HEIs?

Research query: Does IWB significantly affect OP in Chinese HEIs?

Research query: Do POS and IWB share an inter-link between them in Chinese HEIs?

Research query: Do POS and IWB mediate between EI and OP in Chinese HEIs?

Therefore, this study investigates the explained literary gaps in Chinese HEIs based on the ability-based theory of EI, organizational support theory, and componential theory of creativity. This study intends to investigate the direct relationship between EI and OP among Chinese HEIs’ academicians. This study further explores the mediation of POS and IWB between the aforementioned relationships, while investigating the inter-link between POS and IWB in this sector. EI needs to be investigated in HEIs, specifically in China, thus inspiring researchers to examine EI in HEIs in relation to OP. Furthermore, POS and IWB are novel in terms of the mediation between EI and OP in Chinese HEIs.

Theoretical Background and Hypotheses Development

This study infers guidelines from the ability-based theory of EI,3 the organizational support theory,38 and the componential theory of creativity.39

The ability-based theory of EI,3 on one hand emphasizes the timely management of emotional endeavors that enable personnel to take advantage of pressure situations through learning and experience.40 EI, hence, is all about uneven situations that convince personnel to accurately percept, appraise and channelize personal and others’ emotions to come through the situations.41 Ability-based theory of EI is divided into four crucial emotional aptitudes. (a) Social adaptation: This practice entails the accurate perception and comprehension of personal and others’ emotions. (b) Goal attainment: This practice entails guiding, regulating, and modifying the emotional endeavors of the hand and others. (c) Problem solving: This practice entails the application of personal emotions to solve problems. (d) Self-regulation: This practice entails continuous and regular mastery of personal emotions to enhance personal emotional and rational growth.3 Hence, the ability-based theory of EI is widely used in research- and developmental-based institutions.40,42

On the other hand, organizational support theory endorses POS and argues that organizational support theory convinces employees to have strong faith in their organizations’ care for their well-being, hard work, and contributions.38 Hence, POS ignites employees’ obligational care and responsibility towards their organizations’ set goals and objectives.43 In the meantime, POS has certain obligations towards employees to fulfill their socio-emotional prerequisites, incorporate employees’ social identity while confirming and authorizing their roles, enhance intrinsic and extrinsic recognition, and reward employees for enhanced output and performance.19 Employees must be enthusiastic and faithful to their work and organizations. If an environment of reciprocity in relation to support and well-being is consolidated between employees and organizations, employees expand their socio-emotional attachment to organizations that refrain from turnover and expedite their hunger for superior personal and OP.19,44 Research explain thoroughly that POS escalates personal and OP.37 According to organizational support theory, employees’ perceived support depends on certain organizational conduct, such as paying them a fair amount in terms of salaries and simultaneously modifying their responsibilities to attract them through the meaningfulness of tasks.44 Likewise, equal opportunities for recognition and rewards make employees think of a fair valuation of their contributions, thereby urging them to support organizations more than ever before.21,38

Similarly, the componential theory of creativity39 emphasizes the psychological and social mechanisms that encourage employees to be creative. Hence, this theory intrigues employees through intrinsic motivation and simultaneously counts organizational context support (competitive benefits, eg, compensation) that ignite/diffuse intrinsic motivation for creativity.6,45 Hence in HEIs if employees and organizations develop a reciprocity norm of psychological and social well-being then employees put their efforts to be innovative while fulfilling their assignments.1 This process ultimately outperformed competitors through enhanced OP.

Emotional Intelligence and Organizational Performance

HEIs personnel utilize EI to accurately comprehend and weigh pressure circumstances, and put forth parallel emotional remedies to resolve situations.46 This enduring process extends HEIs personnel’s learning and institutional success through proper utilization of emotional tactics.42 Research on EI has surged in recent years. It has recently been argued that EI plays a vital role in individual cum-organizational learning, success, and performance.47 Therefore, it is necessary for organizations to advocate EI training and developmental activities. For this reason, EI is counted as an integral part of organizational assets, calling it emotional capital (an intangible organizational asset). This emotional capital is generated through personnel’s emotional experiences that enable them to communicate fairly and form collegial relationships for organizational goals and objectives. Hence, EI is regarded as a vital factor that improves OP, subsequently enabling personnel to strive for shared results through robust relationships. In contrast, the minimal existence of EI may trigger conflict, resulting in low individual and OP.48

Similarly, emotions may have a demanding influence on an individual’s behavior. It is further evident that personnel make/break the fate of OP and success while experiencing emotional situations.49 Customarily, personnel showcase positive/negative emotions at workstations, which create or break the overall result that ultimately influences OP.50 Therefore, it is vital for people in charge to understand and control their emotions and understand and respond to others’ emotions wisely to create conducive workplaces that supplement superior OP.51 Furthermore, in the commercial arena, EI has a positive impact on OP.52 This study explored this relationship among Chinese HEIs. EI likewise urges personnel to be committed and loyal to their set objectives while assessing and exhibiting wrong emotions may mutilate their commitment and loyalty towards their set objectives hence damaging OP.5 Hence, EI is an essential factor for OP, and organizations need to channelize it among personnel to enrich OP.48 Through this deliberation, we propose the following hypotheses:

Hypothesis 1: EI is positively related to OP.

Emotional Intelligence, Perceived Organizational Support and Organizational Performance

POS is defined as employees who develop global beliefs concerning the extent to which the organization values their contributions and cares about their well-being.15 POS is rooted in organizational support theory, which emphasizes that employees are vital assets of an organization.53 Hence, organizational support convinces employees politely to devote their efforts to organizations willingly13 thus enabling organizations to perform competitively. As far as employees are encouraged socially and emotionally then they “incorporate organizational membership into their self-identity”15 that builds employees’ social and emotional interactions positively with organizations and colleagues hence employees’ OP increases. Similarly, research has established the positive effects of POS on numerous variables, such as increased emotional commitment and job involvement,18,37 and decreased strain, absenteeism, and turnover intentions.15,54 Similarly, POS encourages employees to engage with assigned duties and organizations, resulting in increased job satisfaction and enhanced OP.55 Similarly, POS strengthens employees’ emotional commitment towards their tasks and organizations once they are encouraged emotionally; hence, individual OP increases.15,56 Additionally, POS influences emotional exhaustion, which in turn enriches individual and OP.57 Hence, we propose the following hypothesis:

Hypothesis 2: EI is positively related to POS.

Organizational support theory encourages employees to develop exchange relations with organizations that vary in strength, thus guiding their behavioral and practical reactions.38 Likewise, encouraging gestures from organizations helps employees engage with organizational objectives wholeheartedly, resulting in increased OP.58,59 However, to the best of our knowledge, the supportive contrivances linking EI to OP in HEIs are immature. Therefore, POS was examined as a contrivance link between the aforementioned setups. Additionally, when employees perceive satisfactory conduct from organizations, they tend to give back effortlessly; hence, OP improves.43 Likewise, supportive leadership, provision of sufficient organizational resources, fair distribution of rewards lie under the fair perceptions (contributions are valued and well-being is considered vital) of employees in relation with organizational support,19,60 hence employees and OP improves. Therefore, we propose the succeeding hypothesis:

Hypothesis 3: POS is positively related to OP.

Emotional Intelligence, Innovative Work Behavior and Organizational Performance

Literature explained EI and IWB in HEIs and emphasized that EI influences employees’ IWB in HEIs.1 IWB is practiced in an environment that includes employees’ interactive relationships with colleagues and organizations.61 Similarly, literature endorsed that EI is positively related to IWB.62 Correspondingly, educational personnel should be equipped with EI and innovative behavior that strengthens OP.1,23 A certain bunch of researchers believe that EI urge personnel to distinguish emotions hence modifying their thoughts and actions that ultimately have positive effects on creativity and IWB.1,35,63 Similarly, emotionally intelligent personnel have multiple solutions to a certain problem, and innovative behavior continues through it may be tough going.12 Similarly, literature argue that EI has a positive effect on workplace creativity.64 Nonetheless, the aforementioned relationship produced negative results too.65 Likewise, it is maintained that EI has little relationship with creativity (divergent thinking and creative personality); hence, inconsistent results were found regarding the relationship between EI and IWB.66 Nonetheless, we carried forward the literature where a positive relationship between EI and IWB was witnessed.1,12,64 Furthermore, as per the ability-based model of EI, personnel cognitive comprehension, such as decision-making, problem solving, and reasoning, largely depends on the facilitation of emerging emotions that ultimately augment creativity; hence, emotionally intelligent personnel are inclined towards more creative conduct. Therefore, we propose the following hypotheses:

Hypothesis 4: EI is positively related to IWB.

Organizations seek enhanced growth, superior performance, and sustained competitive advantage through a continuous trend in the IWB. Therefore, IWB supplements top-tier management and organizations to swiftly answer the marketplace, thereby enhancing customer satisfaction and sustainable OP.67,68 Likewise, advocating IWB throughout the organization results in improved performance in relation to cost discount, quality, and flexibility69 which, in turn, proves to be a good omen for overall OP. Similarly, HEIs are in acute need of IWB, depending on the volatile demands of the society.70,71 Additionally, HEIs are looking for better service quality, refined curriculum, enhanced student satisfaction, and improved research outputs; hence, IWB in HEIs may produce such results1 as the commercial context has reaped positive outputs through IWB and OP.72 Therefore, we propose the following hypotheses:

Hypothesis 5: IWB is positively related to OP.

Interlink and Mediation of Perceived Organizational Support and Innovative Work Behavior

Employees’ IWB depends on the organizational environment that encourages them to perceive, breed, stimulate, and recognize novel ideas.73 Hence, IWB is strongly related to POS.18,73 Social exchange theory74 likewise argues that POS is a two-way traffic; that is, employees and organizations both look at each other for the successful execution of set goals and comprehensive valuation of employees’ efforts.21 Similarly, personnel with higher perceptions of organizational support put extra effort into the betterment of organizations through the successful completion of set objectives. Similarly, employees with higher POS sense it as an obligation to return to their organizations in terms of enriched and creative contributions.53 Hence, employees feel emotional attachment towards organizations and, at the same time, their intention to stay longer with the same organization increases. Similarly, employees tend to decrease their absenteeism ratio while increasing their selfless attitude once they are sure of reciprocity commitments in terms of emotional attachment and responsibility from the organization.75 Therefore, POS convinces employees to be innovative in the workplace.76 Likewise, enhanced organizational support is sometimes scenario-based for employees, which is then taken as a needs-supplies fit, thereby urging employees to be more innovative at work.53 Additionally, organizational support and care positively affect employees’ IWB.77 By contrast, employees with low organizational support are less likely to engage in IWB.73 Therefore, we propose the following hypotheses:

Hypothesis 6: POS is positively related to employee IWB.

It is true that the IWB seeks supplements from organizations through POS. According to the law of reciprocity under the theory of social exchange, when employees feel more supported, they make efforts to pay back the organization through IWBs.74 This is why employees often seek organizational support to be innovative at work.78 Employees look up to organizations to understand their needs and emotions, disseminate constructive feedback, show concern for their novel ideas, and assist them while solving on-site issues. Hence, satisfied employees express their enhanced loyalty while putting forth innovative ideas and executing them perfectly.79 Further, organizational support boosts employees’ confidence hence they engage themselves in innovative practices that ensure sustained OP.1 Likewise, if organizations like challenges and are simultaneously supportive of employees, IWB thrives in such circumstances.61 Furthermore, organizations with a supportive and innovative climate can foster creativity. Therefore, POS enables employees to look for innovative behaviors to cater to problems.73 Additionally, POS may not directly influence OP but may mediate between other variables. Likewise, IWB is executed with positive results in HEIs.1 Therefore, we propose the following hypotheses:

Hypothesis 7: POS and IWB mediate the relationship between EI and OP.

Methodology

HEIs

The economic growth and societal development of nations depend heavily on the positive progress of HEIs.80 Therefore, China emphasizes research and developmental activities through its HEIs. Therefore, in the last two decades, the Higher Education Commission of China has planned and initiated concrete trials to improve research and developmental activities. Nonetheless, China needs continuous efforts to be rich in research and apply practical measures to stay competitive, especially in the Western world.9 Further, time is needed to train academicians in EI so that Chinese HEIs may prosper and compete with Western educational institutes.1 Academics face numerous trials throughout their careers, such as promotion dilemmas, following and maintaining educational values, compliance with certain attitudes to learn and grow, and tackling pressure situations. Hence, they need EI to pass through all situations successfully.50 Academics’ EI urges them to stay calm and compose difficult situations to be successful against assigned objectives; hence, OP increases.51 Therefore, this study examines the association between academics’ EI and university performance in Chinese HEIs; likewise, POS and IWB are examined as mediators between ascribed relationships.

Sample and Data Collection

Academicians from lecturers to professors from Hangzhou, Sichuan, and Xian provinces were selected as the target populations. The chosen provinces relish better possible educational facilities; similarly HEIs from these provinces rank higher in terms of gross enrollment ratio.81 Seven HEIs were investigated in order to collect data from academics across different schools (seven HEIs from each province). Furthermore, Chinese HEIs have focused on assessing academics’ EI in recent years.1,9 Additionally, the WeChat application and email addresses were utilized as electronic media to deliver questionnaires, and questionnaires in paper form were utilized to collect data from three provinces. Voluntary participants were consulted for valuable responses. Paper-form data collection was managed through third-party services, particularly for data collection from different provinces. Similarly, academicians were consulted before electronic data collection, and questionnaires were distributed through e-groups after consent was obtained from the academicians.

To pursue ethical considerations, officially written and stamped approval was acquired from the Zhejiang Normal University Research Ethics Review Committee to request, interact, and collect data from academicians worthy of catering to the research agenda. Hence, agreed-upon academicians were consulted for data collection on behalf of the approved university’s ethical statements. University ethical statement was annexed with the original questionnaire in order to remain upright in relation to ethical concerns. Moreover, this study is not meant to be retrospective, nor does it investigate archived samples.

The convenience sampling technique was followed throughout the questionnaire administration because it is economical and fast in nature, and it is the first choice for social and business research.82 To be precise, 750 questionnaires were sent out through hired third parties, emails, and e-groups, of which 366 questionnaires (48.8%) were returned; however, 39 questionnaires were incomplete. Therefore, 327 questionnaires (43.6%) were found to be complete for final data analysis. Similarly, quantitative and cross-sectional research methods were ascertained to analyze the data. Further, in compliance with literature, the sample size is satisfactory for the application of structural equation modeling (SEM) to execute the underlying complex path model.83 Additionally, the data was collected from September 2022 – December 2022.

Measures

This study examined the available literature and assimilated measurement items from the literature. Furthermore, the assimilated items were gauged with a 5-point Likert scale (1 = “strongly disagree” to 5 = “strongly agree”).

Emotional Intelligence

It is recommended to utilize an authenticated construct for the central variable for measurement purposes, so that response errors are diminished and the validity/authenticity of the data increase.9 EI, therefore, is the central variable in this study hence EIS ie, EI Scale (33 items)84 was utilized for data collection, further internal consistency for mentioned scale ranges from 0.85 to 0.93.85

Organizational Performance

To collect data on the exogenous variable OP, a five-item scale was used.4,86 Organizational/university performance is evaluated in terms of research efficiency, research standing, academicians’ satisfaction, openness and programs/study expansion. Further, sample items were read like “Research productivity of our university is better as compared to key competitors.”

Perceived Organizational Support

POS is measured using the borrowed eight-item scale15 (T2, reported by employees). This scale has been further validated through research.87,88 Further, sample items were read like “My organization takes pride in my accomplishments at work.” Likewise, the internal consistency of the scale was 0.952, which authenticated the scale’s strong reliability.

Innovative Work Behavior

IWB was measured using the borrowed nine-item scale.89 This scale has been further validated through research.75,90 Moreover, IWB of employees was measured on three bases ie, “ideas put forward”, “promotion of ideas”, and “application of the ideas”. Further, sample items were read like “Creating new ideas for difficult issues (idea generation).” Likewise, the internal consistency of the scale was 0.951, which authenticated the scale’s strong reliability.

Assessment of Common Method Bias

To avoid common method bias, researchers ensured the confidentiality of survey participants and avoided doubtful responses.91 Sometimes researcher administering a questionnaire for data collection may influence the responses provided by different respondents in the same general direction, causing the indicators to share a certain amount of common variation. Harman’s single factor test is widely used to test common method bias. In Harman’s single factor test, the percentage of variance associated with the first component (or factor), is compared against the threshold of 0.5.92 Additionally, to certify whether the data had a common method bias, researchers applied Harman’s single-factor test.93 Nonetheless, this study exhibited variance by single factor less than 50% hence, common method bias is no longer threatening.

Data Analysis Technique

Partial least squares structural equation modeling (PLS-SEM variance based SEM approach) was used to analyze the data for this study. The variance-based SEM approach is more appropriate in parallel to the covariance-based approach, as variance-based SEM has no specific limitations related to sample size and distribution.94 PLS-SEM has certain advantages in practical applications. Further, PLS-SEM has minimum possible limitations in relation to data normality whenever it is practiced.95 Likewise, PLS-SEM is more appropriate for application in studies that are empirical in nature and examine theories; hence, predictions are made through data analysis.96,97 PLS-SEM has also been applied to HEIs throughout the years.49

PLS-SEM bisects the data analysis process into two stages: assessment of the measurement model and evaluation of the structural model.96 Assessment of the measurement model focuses on examining the constructs’ reliability and validity through a minimal threshold standardized against reliability and validity. In contrast, the evaluation of the structural model focuses on applying the bootstrapping technique to ascertain the framework’s predictive relevance. At the same time, path coefficients and statistical significance remain under consideration. Furthermore, Smart PLS-SEM 3.0.8 is utilized for data analysis, while guidelines ascribed under the practical foundation of PLS-SEM94,96 were followed throughout the process.

Results

Before embarking on the data analysis process, the received questionnaires were scrutinized and 40 invalid questionnaires were discarded. Therefore, 327 valid questionnaires were considered for the statistical configuration. The demographics are listed in Table 1.

Table 1 Description of Demographic Variables

Measurement Model Assessment

A measurement model assessment was conducted to confirm the convergent and discriminant validity of the constructs. In the following, we explain both of these validities. Researchers argue for three conditions through which the convergent validity of the construct is ascertained.98 (a) 0.6 is the minimum threshold that indicators’ loading should exceed, (b) 0.7 is the minimum threshold that composite reliabilities should exceed, and (c) 0.5 is the minimum threshold that each scale’s average variance extracted (AVE) should exceed. The minimum thresholds for the explained conditions are presented in Table 2, where the indicator loadings, composite reliabilities, and AVE values exceed the respective figures. On the other hand, discriminant validity is assessed as the square root of the AVE of a latent variable that needs to be greater than the correlations between other considered latent variables.99 Therefore, Table 3 exhibits discriminant validity indicating that the square root of the AVE of each scale is greater than the correlations between the variables.

Table 2 Item Loadings, Reliability and Convergent Validity

Table 3 Discriminant Validity (Fornell–Larcker Criterion)

Specifically, a measurement model assessment was applied to assess the reliability and validity of the constructs. Therefore, reliability is explained as a blend of indicators’ reliability and internal consistency reliability.94 Therefore, indicator reliability was inferred through item loadings, and the minimum conventional limit for indicator loadings was set as 0.60. Similarly, the internal consistency reliability was examined through composite reliability using the PLS-SEM method. Internal consistency reliability therefore is known to be standardized when composite reliability is ascertained as greater than 0.70.96 Composite reliabilities for the considered constructs are presented in Table 2, which shows a range of composite reliabilities between 0.805 and 0.961, ascertaining internal consistency reliability.94 Conversely, construct validity was measured through convergent and discriminant validity assessments using the PLS-SEM method. Convergent validity therefore is assessed through AVE,96 if and only if the value of AVE is greater than 0.50.94 Table 2 shows that the constructs’ AVE was greater than 0.50 therefore, convergent validity is established. Correspondingly, literature laid a foundation to evaluate discriminant validity, suggesting that the square root of the AVE of each latent variable should be greater than the correlations among the latent variables”.95 Table 3 presents the output generated against the discriminant validity. The measurement model assessment results showed that the examined research model was appropriate for the structural model evaluation.

Structural Model Evaluation

Structural model evaluation is considered vital once the measurement model assessment is authenticated and practiced as the second phase of analysis in the PLS-SEM method. This evaluation process anticipates the predictive relevance of the framework and assesses the statistical significance of the path coefficients. The structural model was evaluated and the results were reported according to the literature recommendations.94,96 Further, specific recommendations100 were followed to pursue mediation analysis for this study.

To follow this pathway, the statistical significance of the path coefficients was adjudicated in the subsequent section. Furthermore, a bootstrapping technique with 5000 resamples was utilized to assess t-values and p-values and to examine the statistical significance of the path coefficients of assumed associations.96 Similarly, a mediation analysis against the proposed framework was analyzed.100 The preacher’s recommendations are worthy in relation to compound mediation analysis, as in the case of the considered study, along with the PLS-SEM method.94 Therefore, we examined the direct effects of EI on OP. Similarly, we investigated the indirect effects of EI on OP through POS and IWB. Numerous studies of HEIs have applied PLS-SEM data analysis.82,101 The structural path coefficients are shown in Figure 1. The total effects, direct effects/path coefficients, and indirect effects with their respective significance are listed in Table 4.

Table 4 Representation of Structural Model Results

Figure 1 Structural path model.

Explanation Vis-À-Vis Results

Proposed H1 and inferred results: H1 postulates that EI has a positive effect on OP in Chinese HEIs. Table 4 shows that EI had a positive and significant effect on OP (β = 0.781, t = 6.513, p < 0.01). Therefore, positive findings between the independent and dependent variables demonstrate that mediation analysis/effects of POS and IWB can proceed further.

Proposed H2 and H3 and inferred results: It was assumed through H2 and H3 that EI has a positive effect on POS and that POS has a positive effect on OP in Chinese HEIs. The inferred findings showed that EI had a positive and significant effect on POS (β = 0.886, t = 34.066, p < 0.01); however, the POS results were negative and insignificant in relation to OP (β = −0.185, t = 1.879, p = 0.060).

Proposed H4 and inferred results: Once H2 and H3 were ascertained, it was straightforward to execute POS as a mediator between EI and OP to crosscheck H4. Table 4 shows that the indirect effects under H4 were analyzed through the bootstrapping process.100 The inferred results established that the total effect of EI on OP was significant, that is, β = 0.785, t = 11.297, p < 0.01; once after the mediation was introduced, the direct effect was found to be positive and significant (β = 0.781, t = 6.513, p < 0.01); however, the indirect effect established that EI no longer had a significant effect on OP (β = −0.164, t = 1.888, p = 0.059). Therefore, the results establish direct-only no mediation (Zhao et al, 2010) for POS between EI and OP. H4 therefore is rejected.

The structural path model is illustrated in Figure 1.

H5 and H6 and inferred results: It was assumed through H5 and H6 that EI has positive effects on IWB, and that IWB has positive effects on OP in Chinese HEIs. The inferred findings showed that EI had positive and significant effects on IWB (β = 0.358, t = 3.664, p < 0.01), and IWB had positive and significant effects on OP (β = 0.210, t = 2.630, p < 0.01).

Proposed H7 and inferred results: Once H5 and H6 were ascertained, it was straightforward to execute IWB as a mediator between EI and OP to crosscheck H7. Table 4 shows that indirect effects under H7 were analyzed through the bootstrapping process.100 The inferred results, that is, β = 0.075, t = 2.129, p < 0.01, demonstrate that the positive effect of EI on OP is mediated via IWB; hence, H7 is authenticated as per the assumption.

Similarly, once mediation was introduced, the direct effects of EI on OP decreased; however, the total direct effect persisted. Therefore, partial mediation was ascertained because of the decreased but significant direct effect between EI and OP due to IWB.100 However, in the case of POS, direct-only no-mediation/full mediation was ascertained because of the insignificant indirect effects.

Discussion

This study examines the direct relationship between EI and OP among Chinese HEIs. Similarly, this study investigated POS and IWB as mediators of these direct associations. Further, to carry out the practical steps to deal with the assumed framework based on literature and theories, academics were requested through personal visits and/or e-groups to fill out questionnaires throughout the data collection process. This process was conducted at HEIs in Hangzhou, Sichuan, and Xian China. The findings were as follows:

H1 postulated that EI would have a positive effect on OP among Chinese HEIs. Empirical research has demonstrated that EI has positive and significant effects on OP in Chinese HEIs. It is imperative to ascribe that research has authenticated the direct and positive association between EI and OP48,52 nonetheless, this article examined EI parallel to OP in Chinese HEIs for the first time. Higher education is a novel sector investigated in relation to this relationship. Similarly, findings endorse the ability-based theory of EI3 which reiterates an appropriate management of emotions to face challenges in pursuit of learning and improved personal and OP.40 Therefore, EI is regarded as a vital enabler for enhancing personal and organizational efficiency and performance. These findings enable and urge HEIs academicians to overhaul the institutional reputation of key stakeholders such as students, society, and competitors. Similarly, academicians navigate personal and others’ emotions in pursuit of smooth collegial relationships and, more importantly, to successfully accomplish institutional goals and objectives.49 This process therefore strengthens collegial interactions and guarantees improved OP and a competitive edge, while emotional stability throughout the organization prevails emotions.102 This culture further enables the HEIs personnel to have a better emotional comprehension, to understand and avail the available opportunities well, to acquire learning and at the same time contribute towards the superior OP through reaching the organizational goals successfully.1 Therefore, academics with better EI are vital for superior educational quality, enhanced student and societal trust and satisfaction, openness, and better approachability through enriched research and developmental activities.50,102,103

Likewise, H2 and H3 assume that EI has a positive and significant effect on POS; similarly, POS has a positive and significant effect on OP in Chinese HEIs. H4 additionally, POS was assumed to mediate the relationship between EI and OP in Chinese HEIs. The results show a positive and significant effect of EI on POS. However, results showed that POS has a negative and insignificant effect on OP among Chinese HEIs. Similarly, findings establish that the mediating role of POS between EI and OP in HEIs is negative and insignificant. Previous research has demonstrated that EI affects POS positively in HEIs context. Hence, emotionally intelligent academicians facilitate unified learning, improved two-way (either teacher-student or teacher-management) constructive communication, and superior OP.49 Academicians, therefore, establish an environment that encourages personnel to assess their own and others’ emotions in different situations for the sake of knowledge, learning that improves OP, and competitive advantage in HEIs.51 Previous research, though, has approved POS as a mediator between EI and conflict management in Chinese HEIs.1 The lack of significant results may be a limitation of HEIs. POS theory suggests that, “organizations contribute more to POS if employees believe that it results from the organization’s voluntary actions”.13 Hence, if employees perceive this organizational practice as superficial; consequently, they develop fear/anxiety, which forces them to reduce their commitment to organizational goals.104 For instance, employees may perceive organizational efforts vis-à-vis their well-being as being benevolent. If employees assess that these organizational efforts are otherwise than genuine efforts to improve their well-being, then the desired effects will likely go unrealized.105

H5 and H6 argue that EI has positive and significant effects on IWB. Similarly, IWB has a positive and significant effect on OP in Chinese HEIs. H7, in the same vein, established that IWB mediates the relationship between EI and OP. The findings inferred that EI has a positive and significant effect on IWB. Likewise, the findings have shown that IWB has a positive and significant effect on OP. The IWB seeks organizational emotional support, encouragement, and motivation to generate and execute innovative ideas for improved personal and OP in HEIs.106 The findings further demonstrate that EI ignites the IWB, which influences the overall OP. Research examined IWB, arguing that better emotional assessment and appropriate management encourages personnel to be innovative, which improves personal and OP while avoiding conflicts in Chinese HEIs.1 The refereed authors executed the IWB as a mediator between EI and conflict management in Chinese HEIs, with positive and significant results. This study is novel in that it examines the IWB against OP in Chinese HEIs. Hence, after comprehensive deliberation grounded in the componential theory of creativity39 this study maintains that emotionally intelligent personnel play a vibrant role in the development of creative organizational practices, which in turn augments OP in Chinese HEIs.

Similarly, H6 argues that POS has a positive and significant effect on IWB among Chinese HEIs. The extracted findings establish that POS has a positive and significant effect on IWB. The findings further corroborated that personnel IWB can be ignited through an environment in which personnel perceive they are supported in the production, discussion, promotion, and execution of innovative ideas.73,106 Nonetheless, there are differing opinions regarding this relationship. Research established that POS has a negative relationship with employee performance, which restricts employees from being innovative in the workplace.54 Similarly, research has claimed that POS mediates different organizational variables; therefore, it may not directly affect OP.13,54,107 Hence, it was difficult to determine whether POS correlated directly with performance or was mediated by other variables for faculty personnel. Hence, this study finds that POS relates to OP directly and indirectly related to OP in HEIs.

Conclusion, Implications and Limitations

Conclusion

EI in HEIs enables personnel to assess their own and others’ emotions to handle situations appropriately. Hence, EI is assessed as an essence that augments the performance of HEIs. Emotionally intelligent personnel tackle pressure situations and assignments with composure; hence, personnel and organizations excel in difficult times. The law of reciprocity urges organizations to support personnel and assist them throughout their careers; hence, personnel and organizations perform better. EI has fascinated commercial and educational sectors because of its rampant recognition and application. At the same time, HEIs are lagging behind in EI research and developmental activities, including a lesser focus on personnel training in relation to EI and its application throughout organizations in difficult times. The vital reason for this issue is that the HEIs literature lacks a strong focus on EI. Similarly, HEIs have been overlooked in the literature in relation to POS and IWB examinations between EI and OP. Therefore, this study intended to investigate the aforementioned literature gaps through an inclusive examination of EI, POS, IWB, and OP in HEIs. This study specifically examined the effect of EI on OP and similarly investigated POS and IWB as mediators between the aforementioned direct relationships.

Public HEIs from Hangzhou, Sichuan, and Xian China were used to collect data to statistically assess the hypothesized framework. Further data were collected from academics and PLS-SEM was used to analyze the results. These findings corroborate the direct association between EI and OP, and confirm the indirect effects of POS and IWB. Therefore, this study hypothesizes and validates a research framework using empirical evidence. This framework is original, as it comprehensively and logically responds to the shortcomings mentioned in the literature. This study also adds specific managerial and policy implications to EI and OP through POS and IWB.

Implications

Recently, EI has become an invaluable factor that enables individuals and organizations to perform better. Emotionally intelligent personnel assist higher education in acquiring modern-day knowledge and composure to realize the set goals and research objectives; hence, HEIs perform better than competitors. This process emerges as a satisfactory point for students, societies, and nations. This study therefore targeted academicians from public HEIs of Hangzhou, Sichuan, and Xian China and investigated the crucial variables like EI, POS, IWB and institutional performance; at the same time this study contributed towards narrated theories while enriched literature with specific managerial implications.

This study enriches literature on EI, POS, and IWB. Since the very beginning of ability-based theory of EI,3 the literature has never investigated EI against OP in Chinese HEIs. However, researchers investigated EI against OP directly outside academia.48,52 Therefore, this study expands the literature on EI and OP in Chinese HEIs. Similarly, this study empirically supports the ability-based theory of EI3 via the mediation effects of POS and IWB on the relationship between EI and OP.

Research has abundantly stressed on the need for training and developmental initiatives relating to EI in HEIs.1 Likewise, academics are a vital part of HEIs who go through pressure situations most of the time; hence, EI becomes valuable in passing through the situation.49 The prevailing literature, conversely, is almost silent on academicians’ emotional conduct that may assist them in perceiving organizational support, to be innovative, and to contribute towards OP in HEIs. This study, therefore, contributes to the void mentioned in the literature and presents certain implications for HEIs’ top professionals. This study conducted an empirical investigation to examine academics’ EI and its impact on POS and the IWB. This process convinced personnel to be wiser in relation to emotions, anticipated and acquired organizational support, and possible IWB. Personnel’s positive organizational perceptions urge them to be innovative, calm, and contribute to enhanced OP. Personnel go through numerous stages in HEIs, such as situational pressure, learning and experiencing new knowledge, and emotional composure. Throughout the process, academics learn to manage their emotions and innovative behavior, which ultimately augments OP. Therefore, it is necessary for HEIs to look for and train individuals with EI; hence, they may represent their articulated and knowledgeable side to contribute towards OP and competitiveness with a sense of organizational support and mastering in IWB.

Limitations and Future Research Directions

This study examined and presented certain theoretical and practical implications. Similarly, this study revealed future research directions and at the same time discussed certain limitations. This study firstly examined academicians from public HEIs from Hangzhou, Sichuan, and Xian China; which are developed regions in China. Therefore, HEIs in selected regions are provided with enriched research and developmental environments that enable individuals to perceive organizational support, to be more innovative, and to contribute to OP. It is hence argued that such environments work either way ie, assist or resist set organizational objectives. Likewise, dissimilar cultures produce different research findings; therefore the findings of this study may not be generalizable to the HEIs of other cultures. Therefore, to authenticate the findings of this research in other Chinese regions, researchers must examine samples relating to other cultures and regions. Similarly, EI and innovative behavior excel where an organizational culture acts as a facilitative factor. Hence, researchers are advised to examine institutional culture as a moderation of EI to meet organizational goals efficiently. Second, public HEIs were investigated for data collection; hence, the results may not be generalizable to other sectors including private HEIs. Therefore, future researchers are advised to consider this concern and conduct multi-group analysis for precise findings. Third, this study examined academics from Chinese HEIs and China as an emerging economy; therefore, the findings may not be generalizable to HEIs in developed countries. Hence, researchers are advised to produce this framework in developed countries to gain a comprehensive understanding and extension of the opted theories and frameworks. Finally, this study examined public HEIs; therefore, other sectors should be considered to avoid generalizability concerns. Despite these limitations, this study has several implications. This article demonstrated that EI is an invaluable asset of HEIs that augments individuals’ cum-OP; hence, HEIs need to shift their focus on training and developmental initiatives concerning EI. Similarly, POS and IWB are instrumental in promoting OP through EI in higher education. EI training and developmental initiatives in Chinese HEIs can enhance the POS, IWB, and OP.

Ethical Statement

This study complies with the Declaration of Helsinki. Ethical approval was obtained from Zhejiang Normal University Research Ethics Review Committee before data collection. Informed consent was obtained from all participants included in the study.

Disclosure

The authors report no conflicts of interest in this work.

References

1. Shafait Z, Yuming Z, Sahibzada UF. Emotional intelligence and conflict management: an execution of organisational learning, psychological empowerment and innovative work behaviour in Chinese higher education. Middle East J Manage. 2021;8(1):1–22. doi:10.1504/MEJM.2021.111988

2. Shafait Z, Huang J. Nexus of Emotional Intelligence and Learning Outcomes: a Cross-Country Study of China and Pakistan Higher Educational Institutes. Int J Environ Res Public Health. 2022;19(23):16215. doi:10.3390/ijerph192316215

3. Mayer JD, Salovey P. What is emotional intelligence? Salovey P, Sluyter DJ, editors. In: Emotional Development and Emotional Intelligence: Educational Implications; 1997. 3–31. Available from: https://lccn.loc.gov/96045053. Accessed October 18, 2023.

4. Sahibzada UF, Jianfeng C, Latif KF, Shafait Z, Sahibzada HF. Interpreting the impact of knowledge management processes on organizational performance in Chinese higher education: mediating role of knowledge worker productivity. Studies Higher Educ. 2022;47(4):713–730. doi:10.1080/03075079.2020.1793930

5. Shafait Z, Yuming Z, Meyer N, Sroka W. Emotional Intelligence, Knowledge Management Processes and Creative Performance: modelling the Mediating Role of Self-Directed Learning in Higher Education. Sustainability. 2021;13(5):2933. doi:10.3390/su13052933

6. Shafait ZKM, Bilan Y, Ola´h J. Modeling the mediating roles of selfdirected learning and knowledge management processes between emotional intelligence and learning outcomes in higher education. PLoS One. 2021;16(7):e0255177. doi:10.1371/journal.pone.0255177

7. Brackett MA, Rivers SE, Salovey P. Emotional intelligence: implications for personal, social, academic, and workplace success. Social Personality Psychol Compass. 2011;5(1):88–103. doi:10.1111/j.1751-9004.2010.00334.x

8. Slaski M, Cartwright S. Emotional intelligence training and its implications for stress, health and performance. Stress Health. 2003;19(4):233–239. doi:10.1002/smi.979

9. Shafait Z, Khan MA, Sahibzada UF, Dacko-Pikiewicz Z, Popp J. An assessment of students’ emotional intelligence, learning outcomes and academic efficacy: a correlational study in higher education. PLoS One. 2021;16(8):e0255428. doi:10.1371/journal.pone.0255428

10. Schmidt FL, Shaffer JA, Oh IS. Increased accuracy for range restriction corrections: implications for the role of personality and general mental ability in job and training performance. Pers Psychol. 2008;61(4):827–868. doi:10.1111/j.1744-6570.2008.00132.x

11. Ngah R, Ibrahim AR, editors. The effect of knowledge sharing on organizational performance in small and medium enterprises. Proceedings Knowledge Management 5th International Conference, Knowledge Management: Theory, Research & Practice; 2010. Available from: https://repo.uum.edu.my/id/eprint/11208. Accessed October 18, 2023.

12. Caruso DR, Salovey P. The Emotionally Intelligent Manager: How to Develop and Use the Four Key Emotional Skills of Leadership. John Wiley & Sons; 2004.

13. Rhoades L, Eisenberger R. Perceived organizational support: a review of the literature. J Appl Psychol. 2002;87(4):698. doi:10.1037/0021-9010.87.4.698

14. Lynch PD, Eisenberger R, Armeli S. Perceived organizational support: inferior versus superior performance by wary employees. J Appl Psychol. 1999;84(4):467. doi:10.1037/0021-9010.84.4.467

15. Eisenberger R, Huntington R, Hutchison S, Sowa D. Perceived organizational support. J Appl Psychol. 1986;71(3):500. doi:10.1037/0021-9010.71.3.500

16. Meyer JP, Allen NJ. A three-component conceptualization of organizational commitment. Human Resource Manage Rev. 1991;1(1):61–89. doi:10.1016/1053-4822(91)90011-Z

17. Lartey JKS, Amponsah-Tawiah K, Osafo J. Emotional intelligence and perceived organizational support as predictors of emotional exhaustion among nurses and midwives. Int J Workplace Health Manage. 2021;14(3):261–273. doi:10.1108/IJWHM-10-2020-0173

18. Eisenberger R, Fasolo P, Davis-LaMastro V. Perceived organizational support and employee diligence, commitment, and innovation. J Appl Psychol. 1990;75(1):51–59. doi:10.1037/0021-9010.75.1.51

19. Cullen KL, Edwards BD, Casper WC, Gue KR. Employees’ adaptability and perceptions of change-related uncertainty: implications for perceived organizational support, job satisfaction, and performance. J Business Psychol. 2014;29(2):269–280. doi:10.1007/s10869-013-9312-y

20. Wayne SJ, Shore LM, Bommer WH, Tetrick LE. The role of fair treatment and rewards in perceptions of organizational support and leader-member exchange. J Appl Psychol. 2002;87(3):590–598. doi:10.1037/0021-9010.87.3.590

21. Chiang C-F, Hsieh T-S. The impacts of perceived organizational support and psychological empowerment on job performance: the mediating effects of organizational citizenship behavior. Int j Hospitality Manage. 2012;31(1):180–190. doi:10.1016/j.ijhm.2011.04.011

22. De Jong J, Den Hartog DN. Innovative work behavior: measurement and validation. EIM Business Policy Res. 2008;8(1):1–27.

23. Huang B, Sardeshmukh S, Benson J, Zhu Y. High performance work systems, employee creativity and organizational performance in the education sector. Int J Human Resource Manage. 2022;33:1–30. doi:10.1080/09585192.2022.2054283

24. Chen L, Ye Z, Shafait Z, Zhu H. The effect of abusive supervision on employee creativity: the mediating role of negative affect and moderating role of interpersonal harmony. Front Psychol. 2022;666. doi:10.3389/fpsyg.2022.796355

25. Goleman D Working with emotional intelligence: bantam; 1998. Available from: http://www.schoolofeducators.com/wp-content/uploads/2008/07/emotional-intelligence.pdf. Accessed October 18, 2023.

26. Joseph DL, Newman DA. Emotional intelligence: an integrative meta-analysis and cascading model. J Appl Psychol. 2010;95(1):54–78. doi:10.1037/a0017286

27. Shanker R, Bhanugopan R, Van der Heijden BI, Farrell M. Organizational climate for innovation and organizational performance: the mediating effect of innovative work behavior. J Vocat Behav. 2017;100:67–77. doi:10.1016/j.jvb.2017.02.004

28. Rubera G, Kirca AH. Firm innovativeness and its performance outcomes: a meta-analytic review and theoretical integration. J Marketing Res. 2012;76(3):130–147. doi:10.1509/jm.10.0494

29. Malik S. Emotional intelligence and innovative work behaviour in knowledge-intensive organizations: how tacit knowledge sharing acts as a mediator? VINE J Information Knowledge Manage Systems. 2022;52(5):650–669. doi:10.1108/VJIKMS-09-2020-0158

30. Khalili A. Linking transformational leadership, creativity, innovation, and innovation-supportive climate. Manage Decision. 2016;54(9):2277–2293. doi:10.1108/MD-03-2016-0196

31. Khalili A, Asmawi A. Appraising the impact of gender differences on organizational commitment: empirical evidence from a private SME in Iran. Int J Business Manage. 2012;7(5):100–110. doi:10.5539/ijbm.v7n5p100

32. Kleysen RF, Street CT. Toward a multi‐dimensional measure of individual innovative behavior. J Intellectual Capital. 2001;2(3):284–296. doi:10.1108/EUM0000000005660

33. Woodman RW, Sawyer JE, Griffin RW. Toward a theory of organizational creativity. Acad Manage Rev. 1993;18(2):293–321. doi:10.5465/amr.1993.3997517

34. Trybou J, Gemmel P, Pauwels Y, Henninck C, Clays E. The impact of organizational support and leader–member exchange on the work‐related behaviour of nursing professionals: the moderating effect of professional and organizational identification. J Adv Nurs. 2014;70(2):373–382. doi:10.1111/jan.12201

35. Zhou J, George JM. When job dissatisfaction leads to creativity: encouraging the expression of voice. Acad Manage j. 2001;44(4):682–696. doi:10.5465/3069410

36. Jin L, Zhong Y. Contextual factors affecting the influence of perceived organizational support on team innovative performance. Social Behav Personality. 2014;42(3):517–528. doi:10.2224/sbp.2014.42.3.517

37. Rhoades L, Eisenberger R, Armeli S. Affective commitment to the organization: the contribution of perceived organizational support. J Appl Psychol. 2001;86(5):825–836. doi:10.1037/0021-9010.86.5.825

38. Eisenberger R, Cummings J, Armeli S, Lynch P. Perceived organizational support, discretionary treatment, and job satisfaction. J Appl Psychol. 1997;82(5):812–820. doi:10.1037/0021-9010.82.5.812

39. Amabile TM. Componential Theory of Creativity. Harvard Business School; 2012. 1–10. Available from: https://hbswk.hbs.edu/item/componential-theory-of-creativity. Accessed October 18, 2023.

40. Chakrabarti G, Chatterjea T. Intelligence?… emotions?… or, the emotional intelligence: theories and evidence in global context. In: Employees’ Emotional Intelligence, Motivation & Productivity, and Organizational Excellence. Springer; 2018:11–49. doi:10.1007/978-981-10-5759-5_2

41. Mayer JD, DiPaolo M, Salovey P. Perceiving affective content in ambiguous visual stimuli: a component of emotional intelligence. J Pers Assess. 1990;54(3–4):772–781. doi:10.1080/00223891.1990.9674037

42. Zhoc KC, Chung TS, King RB. Emotional intelligence (EI) and self‐directed learning: examining their relation and contribution to better student learning outcomes in higher education. Br Educ Res J. 2018;44(6):982–1004. doi:10.1002/berj.3472

43. Kurtessis JN, Eisenberger R, Ford MT, Buffardi LC, Stewart KA, Adis CS. Perceived organizational support: a meta-analytic evaluation of organizational support theory. J Manage. 2017;43(6):1854–1884. doi:10.1177/0149206315575554

44. Duke AB, Goodman JM, Treadway DC, Breland JW. Perceived organizational support as a moderator of emotional labor/outcomes relationships. J Appl Soc Psychol. 2009;39(5):1013–1034. doi:10.1111/j.1559-1816.2009.00470.x

45. Amabile TM. Creativity in Context: Update to ‘The Social Psychology of Creativity’. Colorado: Westview Press; 1996.

46. Yin H, Lee JCK, Zhang Z. Exploring the relationship among teachers’ emotional intelligence, emotional labor strategies and teaching satisfaction. Teaching Teacher Educ. 2013;35:137–145. doi:10.1016/j.tate.2013.06.006

47. Law KS, Wong C-S, Song LJ. The Construct and Criterion Validity of Emotional Intelligence and its Potential Utility for Management Studies. J Appl Psychol. 2004;89(3):483–496. doi:10.1037/0021-9010.89.3.483

48. Amaravathi M. Emotional intelligence and organizational performance. J Exclusive Manage Sci. 2014;3(12):1–8.

49. Cai B, Shafait Z, Chen L. Teachers’ Adoption of Emotions-Based Learning Outcomes: significance of Teachers’ Competence, Creative Performance, and University Performance. Front Psychol. 2022;13:812447. doi:10.3389/fpsyg.2022.812447

50. Chen J. Exploring primary teacher emotions in Hong Kong and mainland China: a qualitative perspective. Educ Practice Theory into Practice. 2017;39(2):17–37. doi:10.7459/ept/39.2.03

51. Asrar-ul-Haq M, Anwar S, Hassan M. Impact of emotional intelligence on teacher׳ s performance in higher education institutions of Pakistan. Future Business J. 2017;3(2):87–97. doi:10.1016/j.fbj.2017.05.003

52. Holt S, Jones S. Emotional intelligence and organizational performance: implications for performance consultants and educators. Performance Improvement. 2005;44(10):15–21. doi:10.1002/pfi.4140441005

53. Luksyte A, Spitzmueller C. When are overqualified employees creative? It depends on contextual factors. J Organ Behav. 2016;37(5):635–653. doi:10.1002/job.2054

54. Stamper CL, Johlke MC. The impact of perceived organizational support on the relationship between boundary spanner role stress and work outcomes. J Manage. 2003;29(4):569–588. doi:10.1016/S0149-2063_03_00025-4

55. Saks AM. Antecedents and consequences of employee engagement. J Managerial Psychol. 2006;21(7):600–619. doi:10.1108/02683940610690169

56. Boezeman EJ, Ellemers N. Volunteering for charity: pride, respect, and the commitment of volunteers. J Appl Psychol. 2007;92(3):771–785. doi:10.1037/0021-9010.92.3.771

57. Jawahar I, Stone TH, Kisamore JL. Role conflict and burnout: the direct and moderating effects of political skill and perceived organizational support on burnout dimensions. Int J Stress Manag. 2007;14(2):142–159. doi:10.1037/1072-5245.14.2.142

58. Carmeli A, Spreitzer GM. Trust, connectivity, and thriving: implications for innovative behaviors at work. J Creat Behav. 2009;43(3):169–191. doi:10.1002/j.2162-6057.2009.tb01313.x

59. De Jong J, Den Hartog D. Measuring innovative work behaviour. Creativity Innovation Manage. 2010;19(1):23–36. doi:10.1111/j.1467-8691.2010.00547.x

60. Eisenberger R, Stinglhamber F, Vandenberghe C, Sucharski IL, Rhoades L. Perceived supervisor support: contributions to perceived organizational support and employee retention. J Appl Psychol. 2002;87(3):565–573. doi:10.1037/0021-9010.87.3.565

61. Giebels E, de Reuver RS, Rispens S, Ufkes EG. The critical roles of task conflict and job autonomy in the relationship between proactive personalities and innovative employee behavior. J Appl Behav Sci. 2016;52(3):320–341. doi:10.1177/0021886316648774

62. Hu X, He T. A study of the influence of emotional intelligence on individual innovation behaviour. J Appl Manage Investments. 2018;7(2):113–124.

63. Mayer JD, Salovey P. TARGET ARTICLES:” Emotional Intelligence: theory, Findings, and Implications”. Psychol Inq. 2004;15(3):197–215. doi:10.1207/s15327965pli1503_02

64. Jafri MH, Dem C, Choden S. Emotional Intelligence and Employee Creativity: moderating Role of Proactive Personality and Organizational Climate. Business Perspectives Res. 2016;4(1):54–66. doi:10.1177/2278533715605435

65. Ivcevic Z, Brackett MA, Mayer JD. Emotional intelligence and emotional creativity. J Pers. 2007;75(2):199–236.10.1111/j.1467–6494.2007.00437.x.

66. Sánchez-Ruiz MJ, Hernández-Torrano D, Pérez-González JC, Batey M, Petrides K. The relationship between trait emotional intelligence and creativity across subject domains. Motivation Emotion. 2011;35(4):461–473. doi:10.1007/s11031-011-9227-8

67. Alipour F, Karimi R. Mediation role of innovation and knowledge transfer in the relationship between learning organization and organizational performance. Int J Business Soc Sci. 2011;2(19). doi:10.1016/j.sbspro.2010.03.537

68. Sadikoglu E, Zehir C. Investigating the effects of innovation and employee performance on the relationship between total quality management practices and firm performance: an empirical study of Turkish firms. Int j Production Eco. 2010;127(1):13–26. doi:10.1016/j.ijpe.2010.02.013

69. Anderson N, Potočnik K, Zhou J. Innovation and creativity in organizations: a state-of-The-science review, prospective commentary, and guiding framework. J Manage. 2014;40(5):1297–1333. doi:10.1177/0149206314527128

70. Al-Husseini S, Elbeltagi I. Transformational leadership and innovation: a comparison study between Iraq’s public and private higher education. Studies Higher Educ. 2016;41(1):159–181. doi:10.1080/03075079.2014.927848

71. Elrehail H, Emeagwali OL, Alsaad A, Alzghoul A. The impact of transformational and authentic leadership on innovation in higher education: the contingent role of knowledge sharing. Telematics Informatics. 2018;35(1):55–67. doi:10.1016/j.tele.2017.09.018

72. Al-Hakim LA, Hassan S. Core requirements of knowledge management implementation, innovation and organizational performance. J Business Eco Management. 2016;17(1):109–124. doi:10.3846/16111699.2012.720597

73. Bos-Nehles AC, Veenendaal AA. Perceptions of HR practices and innovative work behavior: the moderating effect of an innovative climate. Int J Human Resource Manage. 2019;30(18):2661–2683. doi:10.1080/09585192.2017.1380680

74. Cropanzano R, Mitchell MS. Social exchange theory: an interdisciplinary review. J Manage. 2005;31(6):874–900. doi:10.1177/0149206305279602

75. Janssen O. Innovative behaviour and job involvement at the price of conflict and less satisfactory relations with co‐workers. J Occup Organ Psychol. 2003;76(3):347–364. doi:10.1348/096317903769647210

76. Barksdale K, Werner JM. Managerial ratings of in-role behaviors, organizational citizenship behaviors, and overall performance: testing different models of their relationship. J Bus Res. 2001;51(2):145–155. doi:10.1016/S0148-2963(99)00061-2

77. Bammens YP. Employees’ innovative behavior in social context: a closer examination of the role of organizational care. J Product Innovation Manage. 2016;33(3):244–259. doi:10.1111/jpim.12267

78. Chen T, Li F, Leung K. When does supervisor support encourage innovative behavior? Opposite moderating effects of general self‐efficacy and internal locus of control. Pers Psychol. 2016;69(1):123–158. doi:10.1111/peps.12104

79. Janssen O. How fairness perceptions make innovative behavior more or less stressful. J Organ Behav. 2004;25(2):201–215. doi:10.1002/job.238

80. Sahibzada UF, Jianfeng C, Latif F, Shafait Z. Development and Validation of a Multidimensional Instrument for Measuring Internal Marketing in Chinese Higher Education. J Enterprise Information Manage. 2019;32(3):413–435. doi:10.1108/JEIM-09-2018-0206

81. MOE MoE. Educational Statistics of China; 2018. Available from: http://www.en.moe.gov.cn/documents/reports/201910/t20191022_404775.html. Accessed October 18, 2023.

82. Iqbal A, Latif F, Marimon F, Sahibzada UF, Hussain S. From Knowledge Management to Organizational Performance: modelling the Mediating Role of Innovation and Intellectual Capital in Higher Education. J Enterprise Information Manage. 2019;32(1):36–59. doi:10.1108/JEIM-04-2018-0083

83. Kline RB. Principles and Practice of Structural Equation Modeling. 4th ed. New York, NY: The Guilford Press; 2018:188–195. doi:10.25336/csp29418

84. Schutte NS, Malouff JM, Hall LE, et al. Development and validation of a measure of emotional intelligence. Personality Individual Differences. 1998;25(2):167–177. doi:10.1016/S0191-8869(98)00001-4

85. Zhoc KC, Li JC, Webster BJ. New reliability and validity evidence of the Emotional Intelligence Scale. J Psychoeduc Assess. 2017;35(6):599–614. doi:10.1177/0734282916653901

86. Tseng SM. The correlation between organizational culture and knowledge conversion on corporate performance. J Knowledge Manage. 2010;14(2):269–284. doi:10.1108/13673271011032409

87. Edwards MR, Peccei R. Perceived organizational support, organizational identification, and employee outcomes: testing a simultaneous multifoci model. J Personnel Psychol. 2010;9(1):17–26. doi:10.1027/1866-5888/a000007

88. Zumrah AR, Boyle S. The effects of perceived organizational support and job satisfaction on transfer of training. Personnel Rev. 2015;44(2):236–254. doi:10.1108/PR-02-2013-0029

89. Janssen O. Job demands, perceptions of effort‐reward fairness and innovative work behaviour. J Occupational Org Psychol. 2000;73(3):287–302. doi:10.1348/096317900167038

90. Agarwal UA, Datta S, Blake‐Beard S, Bhargava S. Linking LMX, innovative work behaviour and turnover intentions: the mediating role of work engagement. Career Dev Int. 2012;17(3):208–230. doi:10.1108/13620431211241063

91. Podsakoff PM, MacKenzie SB, Podsakoff NP. Sources of method bias in social science research and recommendations on how to control it. Ann Rev Psychol. 2012;63(1):539–569. doi:10.1146/annurev-psych-120710-100452

92. Kock N. Harman’s single factor test in PLS-SEM: checking for common method bias. Data Analysis Perspectives J. 2020;2(2):1–6.

93. Podsakoff PM, Organ DW. Self-reports in organizational research: problems and prospects. J Manage. 1986;12(4):531–544. doi:10.1177/014920638601200408

94. Hair JF Jr, Hult GTM, Ringle C, Sarstedt M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage publications; 2016.

95. Wong KK. Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin. 2013;24(1):1–32.

96. Ringle CM, Sarstedt M, Mitchell R, Gudergan SP. Partial Least Squares Structural Equation Modeling in HRM Research. Int J Human Resource Manage. 2018;1–27. doi:10.1080/09585192.2017.1416655

97. Shmueli G, Ray S, Estrada JMV, Chatla SB. The elephant in the room: predictive performance of PLS models. J Bus Res. 2016;69(10):4552–4564. doi:10.1016/j.jbusres.2016.03.049

98. Rahi S, Ghani M, Ngah A. A structural equation model for evaluating user’s intention to adopt internet banking and intention to recommend technology. Accounting. 2018;4(4):139–152. doi:10.5267/j.ac.2018.3.002

99. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Marketing Res. 1981;18(1):39–50. doi:10.1177/002224378101800104

100. Preacher KJ, Hayes AF. Asymptotic and Resampling Strategies for Assessing and Comparing Indirect Effects in Multiple Mediator Models. Behav Res Methods. 2008;40(3):879–891. doi:10.3758/BRM.40.3.879

101. Shujahat M, Sousa MJ, Hussain S, Nawaz F, Wang M, Umer M. Translating the impact of knowledge management processes into knowledge-based innovation: the neglected and mediating role of knowledge-worker productivity. J Bus Res. 2019;94:442–450. doi:10.1016/j.jbusres.2017.11.001

102. Chen J. Efficacious and Positive Teachers Achieve More: examining the Relationship Between Teacher Efficacy, Emotions, and Their Practicum Performance. Asia Pacific Educ Res. 2018;28(4):1–11. doi:10.1007/s40299-018-0427-9

103. Chen J. Exploring the impact of teacher emotions on their approaches to teaching: a structural equation modelling approach. Br J Educ Psychol. 2019;89(1):57–74. doi:10.1111/bjep.12220

104. Cunningham JB, MacGregor J. Trust and the design of work complementary constructs in satisfaction and performance. Human Relations. 2000;53(12):1575–1591. doi:10.1177/00187267005312003

105. Byrne ZS, Hochwarter WA. Perceived organizational support and performance: relationships across levels of organizational cynicism. J Managerial Psychol. 2008;23(1):54–72. doi:10.1108/02683940810849666

106. Greene JA, Freed R, Sawyer RK. Fostering creative performance in art and design education via self-regulated learning. Instructional Sci. 2019;47(2):127–149. doi:10.1007/s11251-018-9479-8

107. Eisenberger R, Armeli S, Rexwinkel B, Lynch PD, Rhoades L. Reciprocation of perceived organizational support. J Appl Psychol. 2001;86(1):42–51. doi:10.1037/0021-9010.86.1.42

Creative Commons License © 2023 The Author(s). This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.