1. Introduction
Exchanging information by multiple roles connects the social activities in our daily life, such as commercial activities, academic activities, and personal activities. This information or message exchanges often relay thoughts and emotions, and this kind of behavior is called communication. The way of information exchange is quite diverse; formal ways of exchanging information include through writing or language. Since the Internet network has been developed, electronic communication began to prevail, breaking the limitation of time and distance, which means both sides can perform information exchange without time and place limitations. Mobile devices have become more and more popular and broken through the limitation of space. With the use of the network, users can transmit instant messages anywhere using applications. The transmission methods of information have also become more diverse, such as multi-person consultations or discussions, instant image or video transmissions, and even paying function that has been extra added on some communication software. As the public displays increasing reliance on mobile devices, using instant communication applications as the pipeline in commercial applications can not only solve many business problems in an instant, but also help enterprises improve their business performance.
A team of Taiwan Institute for Information Industry (FIND) surveyed and analyzed the usage behavior on a Taiwanese community website. The survey found that the top two most frequently used by Taiwan people were LINE and Facebook [
1], as shown in
Figure 1.
As the most frequently used communication application, another survey about LINE, which was done by The Nielsen Company, found that LINE is a combination of communications, payments, entertainment, and other features [
2]. Making calls or sending instant messages is the users’ primary behavior, as shown in
Figure 2.
LINE is a mobile application that can be used in mobile devices like smart phone, tablet, or even computer. LINE was first developed for individual users, which means individuals can send texts, stickers, or pictures to each other. With the development of the program, users can also make real-time video and set up a group. Group members can send messages, stickers, pictures, videos, audios, or even files; make audio or video calls with other members; and create albums or notes within the group. Many companies or organizations, thus, set up groups for different departments or units. They even set up groups for business partners or cooperators. The main intention is to facilitate communication and to reduce misunderstanding or mistakes.
According to the 2016 survey from Taiwan Institute for Information Industry, the application most people visit weekly was LINE, whereas Nielsen’s 2016 survey also found that 91% of Taiwan people had used LINE in the last seven days, which means LINE was the most used communication application in Taiwan. At the same time, according to the same Nielsen’s 2016 survey mentioned above, two of the most engaged behavior on LINE was to communicate with family and friends (94%) and to discuss work (71%). Unlike the traditional phone or application with text-only messaging, LINE has become the first choice to make contact with people in Taiwan. Therefore, it is worth exploring whether LINE’s competence in communication effectiveness and for commercial communication can positively affect job performance.
As LINE is a new and recent software that has just appeared in Taiwan since 2012 [
3], there is no other research discuss about the communication effectiveness, communication satisfaction, or job performance about LINE. Due to the lack of previous research, this research held that the more willing the workers from different levels of enterprises of different occupations, such as education organization, vehicle industry, and financial industry are to continuously use LINE as communication, the more they can use LINE’s diversified function of information transmission, and certainly they are satisfied with the results of the information transmission, thereby continuously improving their job performance. Symmetrically, if the communication effectiveness is high enough to accurately and smoothly transmit messages, people within the company will be satisfied with the results of communication, and ultimately lead to improved job performance.
4. Results and Discussion
This research used regression analysis to explore the explanation and relationship among the variables. One independent variable was used to explain or predict another variable by building and testing the regression equation. Therefore, this research used regression analysis to examine whether communication effectiveness influenced communication satisfaction and job performance, to examine whether communication satisfaction influenced job performance, and to examine whether communication satisfaction had an intermediary effect in communication effectiveness and job performance.
To explore whether there was a correlation between two variables—communication effectiveness and communication satisfaction—regression analysis was carried out with communication effectiveness as independent variable and communication satisfaction as the dependent variable. Through regression analysis, it could be found that the coefficient of the independent variable was 0.711. The
p-value was 0.021, which was less than 0.05, so the result was significant, indicating that communication effectiveness had a positive effect on communication satisfaction. The coefficient of determination was 0.601, which meant 60.1% of communication satisfaction could be explained by communication effectiveness. The date was shown in
Table 5.
Next, we discuss whether communication effectiveness is related to job performance by, first, taking communication effectiveness as the independent variable and job performance as the dependent variable for regression analysis. The coefficient of the independent variable was 0.753. Its
p-value was 0.005, which was less than 0.05, so the result was significant, indicating that communication effectiveness had a positive effect on job performance. The coefficient of determination was 0.665, which meant 66.5% of job performance could be explained by communication effectiveness. The date was shown in
Table 6.
According to Baron and Kenny’s view of defining the mediator [
35], as shown in
Figure 4, there are three conditions for meeting the mediator. The first is that the variation of the independent variable can significantly explain the variation of the mediator, which means path a is significant. The second one is that the variation of the mediator can significantly explain the variation of the dependent variable, which means path b is significant. The last one is when controlling independent variables and mediators are being considered at the same time, the relationship effect of the independent variable for the dependent variable (path c) is less significant, and in the case, the mediation effect of the mediator becomes strongest which c = 0. In other words, the independent variable can significantly explain the variation of the dependent variable, which means path c is significant. However, when both the independent variable and mediator are considered, the effect of the previous argument is reduced. As a result, the mediation effect of the mediator can be examined by four regression patterns.
Model 1: The effect of the independent variable on the mediator is significant.
Model 2: The effect of the independent variable on the dependent variable is significant.
Model 3: The effect of the mediator on the dependent variable is significant.
Model 4: Examine the effect of the mediator and the independent variable on the dependent variable at the same time, and compare the result of model 2, at which point the independent variable of model 4 should have less effect on the dependent. There should be two scenarios:
Complete mediation: If only the effect of the mediator is still significant, the effect of the independent variable is no longer significant, and then the mediator has a complete mediation effect between the relationship of the independent variable and the dependent variable.
Partial mediation: If the effect of the mediator and the independent variable are both still significant, then the mediator has a partial mediation effect between the relationship of the independent variable and the dependent variable.
In this section, to explore the mediation effect of communication satisfaction on communication effectiveness and job performance, regression analysis was taken to verify the hypotheses, and the communication satisfaction was used as a mediator to analyze to understand whether communication satisfaction has an impact on communication effectiveness and job performance.
To examine the mediation effect of communication satisfaction between communication effectiveness and job performance, four steps were carried out. The first step was the regression analysis of communication effectiveness on communication satisfaction. The
p-value was 0.021, and the coefficient was 0.711, which had reached a significant level. The second step was the regression analysis of communication effectiveness on job performance. The
p-value was 0.005, and the coefficient was 0.753, which had also reached a significant level. The third step was the regression analysis of communication satisfaction on job performance. The
p-value was 0.000, and the coefficient was 0.922, which had reached a significant level. The last step was the regression analysis of communication effectiveness and communication satisfaction on job performance. The
p-values were 0.182 and 0.002, and the coefficient was 0.245 and 0.715, which meant only communication satisfaction had reached a significant level. Based on the above four-step analysis results, the research found that communication satisfaction had a complete mediation effect between communication effectiveness and job performance. The analysis result can be found in
Table 7.
According to the above-mentioned analysis, the analysis results were used to review the research hypotheses and were explained. This research contained four research hypotheses, which were summarized and verified, as shown in
Table 8.
According to the research result, three hypotheses developed by this research were valid. As pointed out by Levinger [
8], communication effectiveness can make people feel more or less intimate with each other and lead to a level of communication satisfaction. As job performance was mostly affected by different kind of communication, as mentioned by Borman and Motowidlo [
23] and Wright and Boswell [
25], this research assumed that both communication effectiveness and communication satisfaction would affect job performance, which was later proved by the research result as valid.
5. Conclusions and Discussion
Because of the popularity of the Internet, consumer electronics have boomed rapidly and break the space limitation stems. Users send messages or share information by communication software that leads to more dependence from businessmen. Various business problems have been solved and job performance has been risen up through the diversified functions on communication software.
In this study, the communication effectiveness is validated by the results of communication and led to the improvement of one’s job performance by our proposed symmetric model. This research held that the more willing the workers are to use LINE as communication, the more they can use LINE’s diversified function of information transmission, and certainly, they are satisfied with the results of the information transmission, thereby improving their job performance. Relatively, if the communication effectiveness is high enough to accurately and smoothly transmit messages, people within the company will be satisfied with the results of communication, which ultimately leads to an improvement in job performance. Therefore, the researchers believed that communication effectiveness has significant effects on communication satisfaction and job performance.
5.1. Conclusions
The results showed that communication effectiveness had a positive effect on communication satisfaction, and its explanatory power was 60.1%. Communication effectiveness had a positive effect on job performance, and its explanatory power was 66.5%. As communication effectiveness had significant positive effects on both communication satisfaction and job performance, and the explanatory power was both higher than 60%, when organizations or enterprises use communication software to communicate, they should pay attention to and strengthen the effectiveness of using LINE or other communication software to strengthen workers’ communication satisfaction and job performance.
As there was only the variable communication satisfaction remained significant after the four-step regression analysis for the mediation effect, it was proved that communication satisfaction had a complete mediation effect between communication effectiveness and job performance, which meant the satisfaction of using LINE as a communication software would affect communication effectiveness and job performance. Therefore, organizations or companies should pay more attention of the usage of LINE, or even consider the utilization of communication software as the primary communication pipe, such as how their employees think about using LINE as the major communication pipe. As mentioned in the above chapters, LINE users can send texts, stickers, or pictures to each other. They can also make real-time video and set up a group. Group members can send messages, stickers, pictures, videos, audios, or even files; make audio or video calls with other members; and create albums or notes within the group. Many companies or organizations, thus, set up groups for different departments or units. They even set up groups for business partners or cooperators. The main intention is to facilitate communication and to reduce misunderstanding or mistakes. As the results of this research showed that employees were satisfied with using LINE as a major communication pipe in work place, it was suggested that employers can make good use of LINE continuously to improve employees’ communication effectiveness and job performance. Communication software often improve their usefulness by updating their software functions, employers or supervisors can always make good use of the updated functions to assign tasks, establish to-do lists, establish personal memo, or any others ways to improve communication satisfaction, communication effectiveness, and job performance. As every company or organization must have the needs of communication to keep their work ongoing or keep their business developing, the results of this research (using communication software like LINE could ultimately improve job performance) could even help companies or organizations for their steady development.
5.2. Discussions
According to the findings of the research, future researchers could further the research by conducting follow-up discussions on the above phenomena and exploring other variables that can affect job performance. In addition, this research suggested that future researchers could continue to expand the sample size or add some new influence variables, or adjust the causal sequence between the variables in the framework or re-establish the research structure for re-discussion. It is also possible to lock in the comparison of industry differences, such as high-tech and traditional industries, it might result in giving some professional advice on work communication. Finally, future researchers can introduce more updated variables into the research structure, such as salary, benefits, and so on. It is believed that these future research results could provide some valuable information and the strategic direction of implementation.
Future research is suggested to explore the negative effect on employees of continuously using communication software as the major communication methodology in the work place, such as privacy issues, messiness of information, taking up non-working hours, etc.
5.3. Limitation
Although the results of the research were satisfied and the findings could contribute to help steady development of companies, there were two major limitations should be noted: First, the number of samples could be larger to strengthen the persuasiveness of the research or be more widespread to different levels of position or areas of industry to ensure the credibility of the results. Second, the research also limited to the users of communication software in Taiwan. The results of other countries might different from Taiwan’s.