1. Introduction
Companies are promoting organizational innovation as a means of adapting to a rapidly evolving business environment and sustaining high organizational performance. Scott and Bruce [
1] addressed the need for innovation, emphasizing the importance of employees’ willingness and actions as key factors in achieving organizational innovation. Innovative behavior is considered a source of innovation, in that employees of an organization lead the development, promotion, and implementation of ideas that can improve the efficiency of individual task roles and preserve sustainable organizational performance.
As corporate structures become less vertical and more horizontal, the importance of interactions among employees becomes more evident. This is particularly true in light of current changes in organizational culture, and strategies for managing employees, which are emerging as issues to be addressed by organizations [
2]. In particular, it is essential to obtain employees’ support and cooperation in addition to having supportive organizational policy and financing to translate innovative behavior into enhanced organizational performance [
3]. Consequently, the social competence of employees who can encourage effective communication among other employees and influence the formation of positive social relationships within an organization is becoming increasingly important.
Social goal orientation is an application of the concept of achievement goal orientation to the social context [
4], with the aim of promoting relationships among colleagues and social competence [
5]. The concept of goal orientation refers to what motivates individuals to perform certain actions [
6], presented as a mental criterion that influences the way individuals interpret and respond to tasks [
7].
Ryan and Hopkins [
8] conceptualized three types of goal orientation based on a social perspective: Social mastery goal orientation, social performance approach goal orientation, and social performance avoidance goal orientation. Social mastery goal orientation focuses on developing individual social skills that can facilitate the formation of deep social relationships with people. Social performance approach goal orientation focuses on obtaining positive evaluations and feedback from others by displaying social competence. Conversely, social performance-avoidance goal orientation focuses on avoiding other people’s negative evaluations of an individual’s social competence [
4]. The type of social goal orientation adopted would influence the decision-making process of an individual within their social relationships, which would in turn, considerably influence relationships among colleagues [
9].
Employees’ knowledge-sharing efforts are the core of organizational competitiveness and are associated with individual goal-seeking behavior [
10]. In a knowledge society like the one we live in today, the input of knowledge is more important than the inputs of capital and labor, and there are increasing cases of challenges being resolved or novel solution being developed through the combination of information technology and creativity with existing knowledge. Knowledge sharing is particularly critical for innovative behavior because employees can easily and rapidly acquire the knowledge they require for their tasks rather than by accumulating knowledge through direct experience. In addition, an organization’s employees could create new knowledge by referring to various opinions and the practical experiences of others who have similar work experiences.
Prior studies have emphasized the importance of relationships among employees of an organization as a prerequisite for promoting knowledge sharing [
11,
12]. Therefore, an employee with a social mastery goal orientation or social performance goal orientation would view relationships among employees positively, and would, in turn, influence innovative behavior positively through knowledge sharing. However, an employee with a social performance avoidance goal orientation, who would opt to avoid social relations, would not be expected to influence knowledge sharing and innovative behavior positively.
In addition, the manifestation of innovative behavior could be promoted when employees of an organization take ownership and carry out their tasks faithfully to pursue change on their own and demonstrate a passion for the organization. Therefore, employee engagement which increases experiences of positive emotions at work is a potential key factor driving innovation [
13]. Due to technological advancements and cost reduction efforts, it has become increasingly difficult in recent times to differentiate products among competitors, and employee engagement has emerged as a critical factor in increasing performance to exploit an organization’s capabilities optimally [
14,
15].
Saks [
16] defined employee engagement as immersion through cognitive, emotional, and behavioral factors linked to personal roles, and classified it into two subordinate variables in the form of job engagement and organizational engagement. Prior studies have shown that individuals seeking social relationships and high social skills have a strong sense of belonging and unity with the organization and participate in voluntary activities of the organization as far as their job and organization is concerned [
17]. Therefore, individuals with high social mastery goal orientation would influence innovative behavior positively through employee engagement.
In the present study, knowledge sharing and employee engagement were selected as underlying factors through which social goal orientation influences innovative behavior. Our objective was to evaluate the mediating effects of knowledge sharing in an organization in terms of influence on innovative behavior through employee engagement. Therefore, the following research questions were formulated:
First, what is the effect of employees’ social goal orientation types on innovative behavior? Second, does knowledge sharing play a mediating role between employees’ social goal orientation types and innovative behavior? Third, does employee engagement mediate the relationship between employees’ social goal orientation types and innovative behavior? Fourth, does knowledge sharing and employee engagement play a dual mediating role between employees’ social goal orientation types and innovative behavior?
In the following sections of this paper, the theoretical background was first provided. Theoretical framework and methods followed. Finally, findings were suggested with the conclusion of this study and implications.
3. Methods
3.1. Research Model
The purpose of the present study was to examine the impact of social goal orientation on innovative behavior in office workers in Korea IT companies. In addition, we investigated whether knowledge sharing and employee engagement have a mediating effect on the relationship. A research model of the present study is illustrated in
Figure 1.
3.2. Participants
This study used a data sample of employees in Korean IT companies. Office workers were selected because social relationships are critical considering the rate of change in business behavior is higher than in production jobs and work is performed in teams or projects. The final sample consisted of 388 questionnaire responses.
The proportion of males in the sample was relatively high, with 267 men (68.8%) and 121 women (121%). Regarding the age distribution, 211 (54.3%) of the individuals surveyed were in their 40s, 137 (35.3%) in their 30, and 23 (6.0%) in their 20s. Based on academic background, 276 (71.0%) had completed college and 108 (27.9%) had completed graduate school in the sample. The length of service in the organization they were working for at the time of survey was between 15 and 20 years for 191 respondents (49.2%), more than 20 years for 34 respondents (8.8%), between 10 and 15 years for 132 respondents (34.0%), and less than 10 years for 29 respondents (8.0%). By job position, 208 respondents (53.5%) were general managers, 140 (36.1%) were managers, 27 (7.0%) were executive directors, and 8 (2.1%) were assistant managers. Regarding sectors, respondents worked in IT (80.1%, 311 respondents), services (5.7%, 22 respondents), and sales/distributions (5.3%, 20 respondents).
3.3. Instruments
The questionnaire used for the survey consisted of social goal orientation as an independent variable, knowledge sharing and employee engagement as mediating variables, and innovative behavior as dependent variable. This study used a questionnaire whose reliability and validity were verified in a previous study. Questionnaires were simultaneously administered online and offline during November 2018.
To measure social goal orientation, 12 items developed by Ryan and Shim [
4] were adopted, and the Cronbach’s alpha for the internal consistency of this measure was 0.905. Examples of questions for measuring social performance goal orientation include “I think it is important to avoid looking foolish to others.” and “I think it’s important to be seen as having many friends.”
Eight items developed by Ruggels [
10] were adopted for measuring knowledge sharing, and the Cronbach’s alpha for the measure was 0.920. Examples of knowledge sharing questions include “I actively participate in sharing knowledge with colleagues.” and “If I gain important knowledge, I share it with other employees.”
To measure employee engagement, 11 items developed by Saks [
16] were adopted. Five questions were on job engagement and six were on organizational engagement. The Cronbach’s alpha in this study was 0.915. Examples of employee engagement questions include “I’m totally hooked to my work.” and “Being an employee of this organization makes me feel alive.”
To measure innovative behavior, 6 items developed by Scott and Bruce [
1] were adopted. The Cronbach’s alpha for this measure was 0.907. Examples of questions for innovative behavior are “I try to find new technologies, methods, etc., that can be used to perform my work.” and “I make people at work enthusiastic about innovative ideas.”
To evaluate the reliability and validity of the measurement model, a confirmatory factor analysis was used and the measurement model was evaluated based on the coefficients derived from the results of the analyses. Pearson correlation analysis was performed to review the significance of the variable impact relationship and a path analysis of the potential variable was performed to examine the relationships among the variables. Bootstrapping technique was used to verify the statistical significance of the total effects, direct effects, and indirect effects. Harman’s single factor test was performed to estimate the presence of common method bias.
4. Results
A descriptive statistical analysis was conducted to gain an overview of survey respondents in terms of social mastery goal orientation, social performance approach orientation, social performance avoidance goal orientation, knowledge sharing, employee engagement, and innovative behavior. The results are presented in
Table 1.
This table shows that the mean of the social mastery goal orientation measure was 3.685, that of social performance approach goal orientation was 3.265, social performance avoidance goal orientation was 3.139, knowledge sharing was 3.549, and innovative behavior was 3.685. In the case of employee engagement, the mean was 3.745, and the means of the sub-component variables: Job engagement and organizational engagement were 3.770 and 3.723, respectively. The standard deviations of the variables ranged from 1.211 to 0.624.
To analyze the correlation between the research variables, Pearson correlation coefficients were derived. Social mastery goal orientation showed a significant statistical correlation with knowledge sharing (0.517), employee engagement (0.604), and innovative behavior (0.472). In the case of social performance approach goal orientation, a significant correlation was found with knowledge sharing (0.594), employee engagement (0.195), and innovative behavior (0.368). In the case of social performance avoidance goal orientation, a negative correlation was found with knowledge sharing (−0.485). No significant correlation was found with employee engagement. Furthermore, a negative correlation was found with innovative behavior (−0.527). Finally, a positive correlation was found between knowledge sharing and employee engagement (0.445).
The research model was verified using path analysis among the potentially related variables. The model fit index results obtained using the structural equation model are presented in
Table 2. The items considered to determine model fit were RMSEA (0.083), CFI (0.939), TLI (0.926), and SRMR (0.045). The acceptance conditions of the model were satisfied [
39].
The results of the potential variable path analysis for the influence relationship among the research variables are presented in
Table 3. Social mastery goal orientation had a significant positive effect on knowledge sharing (B = 0.381, ß = 0.445,
p < 0.001) and employee engagement (B = 0.178, ß = 0.283,
p < 0.001), but there was no significant effect on innovative behavior.
In other words, when the level of social mastery goal orientation increases, the level of knowledge sharing and employee engagement increases; however, there is no direct effect on innovative behavior. Social performance approach goal orientation showed a positive effect on knowledge sharing (B = 0.387, ß = 0.495, p < 0.001), but had a negative effect on innovative behavior (B = −0.083, ß = −0.121, p < 0.05). No significant effect was found between social performance approach goal orientation and employee engagement. In sum, when the level of social performance approach goal orientation increases, the level of knowledge sharing increases, but the level of innovative behavior would decrease.
Conversely, social performance avoidance goal orientation was negatively related to knowledge sharing (B = −0.151, ß = −0.223, p < 0.001) and innovative behavior (B = −0.135, ß = −0.227, p < 0.001) but positively related to employee engagement (B = 0.144, ß = 0.289, p < 0.01).
In other words, higher levels of social performance avoidance goal orientation reduce knowledge sharing and innovative behavior while increasing employee engagement. Knowledge sharing had a positive effect on employee engagement (B = 0.391, β = 0.532, p < 0.001) and innovative behavior (B = 0.619, β = 0.706, p <0.001). In addition, employee engagement also showed a significant positive effect on innovative behavior (B = 0.273, β = 0.401, p < 0.001). Therefore, as the level of knowledge sharing increases, the level of employee engagement increases, so does the level of employee engagement, and an increase in these two variables would have a positive effect on innovative behavior.
Hypothesis verification, including the mediating effect, was achieved by measuring the direct effect, indirect effect, and total effect. Direct effect refers to the effect of one variable on another directly, and the indirect effect refers to the intervention of other variables mediating in an impact relationship between two variables [
39]. Total effect refers to the sum of the direct and indirect effects. A mediating effect is considered to exist if the independent variable has a significant indirect effect on the dependent variable. In the verification process, the significance of the indirect effect was measured by performing 5000 iteration of bootstrapping, which can be estimated even from abnormal data set. The results of the analysis of the direct effect, indirect effect, and total effect among the variables are presented in
Table 4.
Figure 2 shows that knowledge sharing and employee engagement each had a full mediating effect in the relationship between social mastery goal orientation and innovative behavior. In the relationship between social performance approach orientation and innovative behavior, only knowledge sharing partially mediated. Finally, in the relationship between social avoidance goal orientation and innovative behavior, knowledge sharing and employee engagement both had a partial mediating effect.
5. Discussion
Work complexity has increased in recent years with increasing application of novel technologies in business environments of organizations. Companies are attempting to develop innovative solutions by organizing projects and teams to solve emerging and persistent problems. To work effectively as a member of a team or within a project, social competence is required; therefore, organizational managers need to comprehend and consider the concept of social goals, which is one of the major perspectives through which employees view social relationships. The aim of the present study was to highlight the structural relationship between social goal orientation, knowledge sharing, and employee engagement as a critical factor in the improvement of innovative behavior in office workers in Korean companies. This study derived the following conclusions.
First, social mastery goal orientation did not have a significant impact on innovative behavior. Because employees who are high in social mastery goal orientation value collaboration with colleagues based on social competence and social skill, and consider colleagues as partners [
9], they prefer to work with colleagues rather than individually [
22]. Thus, the results imply that employees with high social mastery goals value social relations and pursue harmony rather than innovative behavior.
On the other hand, the social performance approach goal orientation and the social performance avoidance goal orientation both had a negative influence on innovative behavior. Employees with high social performance approach orientation tend to focus more on their familiar and good areas that are recognized by others, rather than new area that needs innovative behaviors. Those high in social performance avoidance goal orientation are considered to negatively influence innovative behaviors out of their fear of receiving negative evaluations. This result is consistent with the results of Ryan and Shim [
4], who reported that the more a social avoidance goal was pursued, the lower the level of self-esteem and the higher the instability.
Second, knowledge sharing plays a significant role in the relationship between employees’ social goal orientation type and innovative behavior. Social mastery goal orientation and social performance approach goal orientation revealed that knowledge sharing has a positive mediating effect on innovative behavior, but it has a negative mediating effect in the relationship between social performance avoidance goal orientation and innovative behavior. This finding is consistent with the results of prior studies emphasizing the importance of relationships between employees in knowledge sharing [
11,
12,
32]. Considering the typological characteristics of social goal orientation, employees who exhibit social mastery goal orientation are interested in individual growth and development and regard their colleagues as learning partners [
9], while employees who have high social performance approach goals influence knowledge sharing positively, since it could be an opportunity to reinforce the image that they contribute to the organization through knowledge sharing. However, social performance avoidance goal orientation exhibits a negative mediating effect on innovative behavior, which is attributable to employees’ desire to avoid expanding or revealing relationships through knowledge sharing, because employees who have a higher level of this orientation than experience difficulties in maintaining social relationships [
4].
Third, employee engagement plays a mediating role in the relationship between social goal orientation and innovative behavior. Employee engagement mediated the relationship between social mastery goal orientation and innovative behavior, between social performance avoidance goal orientation on innovative behavior, respectively. The positive mediating effect of employee engagement in the relationship between social mastery goal orientation and innovative behavior is consistent with study of Albrecht and Marty [
40], in which personal affinity was found to influence employee engagement. In particular, employee engagement had a full mediating effect in the relationship between social mastery goal orientation and innovative behavior. It is likely that social mastery goal orientation drives employees to perform individual duties and enhance their engagement to the organization. This suggests that an affirmative environment in which employees can be immersed should be created in order to induce innovation behaviors of employees with high social mastery goal orientation. In addition, positive mediating effect of employee engagement in the relation-ship between social performance avoidance goal orientation and innovative behavior can be explained by the fact that academic mastery goal orientation and social performance-avoidance goal orientation can exist simultaneously and the social performance avoidance goal orientation has a positive effect on self-efficacy, as confirmed by study of Yeom and Lee [
41]. Since personal resources such as self-efficacy have been proven to have a positive influence on employee engagement [
42], it seemed that the social avoidance induces positively employee engagement.
Lastly, the dual mediating effects of knowledge sharing and employee engagement were significant between social goal orientation and innovative behavior. This tends to be similar to the previous research that knowledge sharing has a positive effect on employee engagement [
43]. With the development of technology, consumers’ tastes are changing rapidly, and in response, a business trend of striving to become a learning organization has emerged. Since self-efficacy and problem-solving competence increases through the acquisition of new knowledge [
42], establishing a culture and system of knowledge sharing within an organization is directly related to performance.
Our findings have important theoretical implications which suggest that not only the psychological motivations of individuals but also the social motivations should be considered to promote innovative behavior. First, in the case of employees with high social mastery goal orientation, it is necessary to establish a knowledge sharing and employee engagement environment rather than forcing them to exhibit innovative behavior. Second, in the case of employees with high social performance approach goal orientation, opportunities to contribute to the organization through active knowledge sharing activities should be offered, and innovative behavior could be triggered by acknowledging them.
6. Conclusions
In conclusion, this study examined the effect of the type of social goal orientation that an individual has on an individual’s innovation behavior in an organization. In order for an organization to continue to grow and sustain organizational innovation, an understanding of the psychological goals of its members along with the competence of its members must precede. Thus, findings from this paper suggest important theoretical implications which propose that not only the psychological motivations of individuals but also the social motivations should be considered to promote innovative behavior. First, in the case of employees with high social mastery goal orientation, it is necessary to establish a knowledge sharing and employee engagement environment rather than forcing them to exhibit innovative behavior. Second, in the case of employees with high social performance-approach goal orientation, opportunities to contribute to the organization through active knowledge sharing activities should be offered, and innovative behavior could be triggered by acknowledging them. Lastly, social performance-avoidance goal orientation, knowledge sharing and employee engagement have a negative double mediating effect on innovative behavior, which suggests that in the case of employees with high social performance-avoidance goals, forcing them to share knowledge could have an adverse effect on their engagement. Formalizing their own experiences such as making use cases or improving work manuals based on their experiences might be better desirable for them rather than sharing knowledge publicly through presentations or in seminars.
There are several limitations to our study that should be considered when interpreting the findings. The sample was cross-section of data at a single point in time and covered only one country. Therefore, it is necessary to clarify the causal relationship over time based on a longitudinal study in the future, as well as to conduct similar studies in other geographical regions. It is necessary to conduct continuous research with various variables that can lead innovation behavior, focusing on prior research of social goal orientation in the future.